Raum: Wilhelm Wundt Raum (A400)
Understanding changes in cerebral and cerebellar motor representation during long-term motor training might help to develop most effective training procedures. For brain damage after stroke, these neuroplastic processes are different than those observed in healthy volunteers. Several factors modify training progress and motor representation in these patients. This talk will summarize recent findings on these issues and will focus predominantly on upper limb motor training. [mehr]

Dr Chris Lewis | Cortical feedback and repetition enhance sensory coding in primary visual cortex

Gastvortrag
Identical sensory stimulation results in highly dynamic response patterns in primary sensory cortex, despite the physical constancy of external factors. This response modulation is thought to be partly attributable to activity intrinsic to the brain itself, such as behavioral state and previous experience. Two prominent factors contributing to intrinsic brain activity are feedback signals from higher order areas and the history of coactivation amoung sensory cells. I will discuss a series of experiments that investigate the effects of cortical feedback and stimulus repetition on sensory coding in the primary visual cortex. We find that both feedback activity and sensory experience increase the amount of sensory information retrievable from population responses without changing the average activity of single cells or the mean activity across the population. Specifically, the information is encoded in the distributed pattern of activity across the population, as predicted by population coding and Hebbian plasticity. These findings suggest that early sensory cortices provide a highly flexible representation of external variables which reflects both the current state of higher order brain areas, as well as the history of previous stimulation. Time permitting, I will also discuss recent progress in our attempts to increase the spatial coverage of in vivo electrophysiology, while simultaneously acquiring signals at multiple spatial scales: from single neurons to whole brain areas. [mehr]

Dr Vitória Piai | Context-driven word retrieval: electrophysiology in healthy speakers and stroke survivors

Gastvortrag

Dr Patrick Freund | Tracking diaschisis across the neuroaxis: insights from neuroimaging

Kognitive-Neurologie-Vortrag
Recovery from spinal cord injury – and its attendant neurodegenerative processes – can follow a complicated trajectory spanning several years after trauma, where the ensuing diaschisis (meaning "shocked throughout") affects the entire neuroaxis. With potential treatments targeting repair of the injured spinal cord, there is an imperative to improve clinical trial design and efficiency, optimise patient stratification in the context of disease heterogeneity and identify potential trial outcome measures. The ability to track trauma-induced structural changes across the neuroaxis provides the opportunity to quantify pathological processes driving diaschisis and recovery-related plasticity. During my talk I will present evidence of progressive volume and microstructural changes (myelin and iron content) following acute spinal cord injury using state-of-the-art computational anatomy and post-processing tools. Further I will show latest developments of high-resolution MRI sequences and optimized post-processing methods to assess at the voxel level spinal cord grey and white matter changes. Finally, I will outline an integrative framework, which attempts to identify subgroups of neurologic disorders beyond standard clinical phenotyping – and to improve functional outcome with individualized treatment (i.e., precision neurology). This framework, franchised under the term “Embodied Neurology”, pays special emphasis on the reciprocal information flow between the body, spinal cord and brain. Spinal cord injury is a particularly interesting model in the context of EN as a focal traumatic lesion in the spinal cord has far reaching consequences in terms of both cortical reorganization at distant sites (cf. functional diaschisis) and the functional architecture within and beyond the spinal cord (cf. structural diaschisis). To establish EN there is a pressing need for further developments in neuroimaging with the aim to unify structural and functional biophysical models in order to link pathology to phenomenology with greater precision. [mehr]

Prof. Shu-Chen Li | Neurocognitive aging of the frontal-striatal-hippocampal circuitry: Implications for memory, spatial learning and goal-directed behavior in old age

Gastvortrag
The efficacy of various neurotransmitter systems declines with advancing age. Of particular interest, various pre- and post-synaptic components of the frontal and striatal dopaminergic systems show substantial negative age-related differences across the adult life span. Furthermore, anatomical and functional changes in the frontal and hippocampal regions are also hallmarks of brain aging. This talk will selectively highlight findings from recent neuroimaging, pharmacological and genetic studies about aging of the frontal-hippocampal-striatal circuitry and the implications for memory, spatial learning, and sequential decision-making in old age. [mehr]

Prof. Thomas Klockgether | Clinical and biological characteristics of ataxia disorders

Gastvortrag
In Clinical Neurology, ataxia denotes a syndrome of motor incoordination that typically results from dysfunction of the cerebellum and its afferent and efferent connections. Ataxia is also used to denote a group of neurodegenerative diseases of the cerebellum and its connections that are clinically characterized by progressive motor incoordination. Many of the ataxias have genetic causes, but there are also sporadic degenerative ataxias and ataxias which are due to acquired non-genetic causes. Overall, there is an enormous degree of heterogeneity among the ataxias with an estimated number of more than 150 different, molecularly defined diseases. Our research is focusing on the common, autosomal dominantly inherited spinocerebellar ataxias (SCA) which are caused by translated CAG repeat expansion mutations that code for an elongated polyglutamine tract within the respective proteins. To define the phenotype and natural history of these disorders we recruited a cohort of more than 500 patients and followed them over more than 8 years. Multivariate models allowed to explain up to 60% of the variability of the ataxia severity at baseline. Modelling of disease progression revealed genotype-specific patterns and identified biological factors that determine the rate of progression. MRI studies showed progressive grey and white matter tissue loss in cerebellum, brainstem and basal ganglia. Studies of a cohort of more than 300 apparently healthy SCA mutation carriers showed that first signs of impaired coordination and tissue loss of the brainstem or cerebellum occur more than 10 years before the clinical onset of ataxia. These observation led to a refined disease model of ataxia disorders that considers ataxia as a late disease stage which is preceded by extended asymptomatic and preclinical disease stages that offer a time window for early therapeutic intervention. Although CAG repeat expansion mutations are now known for more than two decades the mechanism how these mutations cause neurodegeneration remain far from clear. There is one component which is due to the toxic properties of proteins or protein fragments that contain elongated polyglutamine tracts. However, there are additional components that depend on the protein context of the polyglutamine tract and are disease specific. Currently, there is no treatment for SCA. Experimental work in cells and animals aims to reduce levels of mutant proteins using RNA interference (RNAi)and antisense oligonucleotides (AONs). An alternative approach is protein modification through AON-mediated exon skipping. As there are many obstacles to translate these approaches into clinical application there is renewed interest in finding drugs that interfere with cerebellar neuronal activity and thereby symptomatically improve ataxia. [mehr]

Dr Adrian Fischer | Dissociating reward- and information-based learning using EEG and fMRI

Gastvortrag
Human decision making often involves weighting of values obtained via the rewarding quality of experience, but can uniquely incorporate more abstract aspects such as information about possible long-term consequences. While the former is computationally simple and efficient, the latter requires utilization of a model about the world. I will present results of two studies aiming to disentangle unique learning mechanisms for both propensities. The first will focus on the cortical temporal dynamics of learning from reward compared to information revealed in the human EEG. The second will focus on regional specificity of neural correlates of learning from model-free and model-based outcomes that dissociate ventral from dorsal striatum in the fMRI. [mehr]

Yasser Iturria Medina, PhD | Multifactorial modeling of neurodegenerative progression

Kognitive-Neurologie-Vortrag

PhD Hadas Okon-Singer | Factors modulating emotional reactions: Attention, personality and neural architecture

Kognitive-Neurologie-Vortrag

Lieneke Janssen | Breaking bad habits – A meditation on the neurocognitive mechanisms of compulsive behaviour

Gastvortrag
We all have our habits, good and bad. But only for some, habits go from bad to worse and behaviour becomes compulsive, as we see for example in addiction or clinical overeating. How is it that a useful mechanism such as our habit system can come to work against us? Why does it happen for only some and not others when faced with tempting rewards? And how can we get back in control? In my doctoral studies I aimed to increase our understanding of this by investigating the neural and cognitive mechanisms underlying compulsive gambling (in gambling addiction) and eating behaviour (in a non-clinical population). Building on an extensive body of addiction literature, I used a variety of experimental paradigms to tap into different aspects of compulsive behaviour. I focussed in particular on altered reward processing and loss of control over automatic tendencies triggered by reward-related stimuli. Furthermore, I investigated the effects of a pharmacological (dopamine) and a behavioural (mindfulness) intervention on reward processing. [mehr]

Dr. Kamil Uludag | Foundations of functional MRI & Human brain imaging at 7 Tesla

Gastvortrag

Dr Ann-Maree Vallence | Plasticity and functional connectivity in the human motor cortex

Gastvortrag
What makes our experience of music possible – and effortless – is an intricate puzzle of cognitive processes, involving a subtle interplay of what psychologists refer to as bottom-up and top-down components. The key concept of expectation can be construed at the centre of a complex feedback loop between these components, relaying information in both directions, and at different time scales. This framework holds not just for music we hear (an exogenous/bottom-up process) but also for music we create in our minds (endogenous/top-down). One mode of acquiring musical knowledge is implicit learning, which gradually gets to shape our sensory preferences, e.g. for certain combinations of simultaneous notes over others (consonant over dissonant chords – or indeed, in some contexts, vice-versa!), and also our unfolding expectations relating to e.g. what musical event might come next. These expectations form the core of a set of intuitions that have been formalised as models of musical structure, most notably Schenkerian analysis. Such models can inspire quantifiable predictions about the temporal nature of our expectation – for instance, with regards to the moment in time when we feel a piece is "beginning to end". The sum of these intuitions endows us with a template that on the one hand enables us to make sense of music that we hear; but equally, also to (re)create music in our own minds – a process known as musical imagery, which shares commonalities with music perception not only at the cognitive level (e.g. both can be conjectured to stem from a single generative model) but also at the neuronal level. In this talk, I will describe three distinct studies from the Dresden Music Cognition Lab, that address – using behavioural and neuroimaging methods – individual elements of the expectation-mediated loop outlined above, namely (i) the (local) perception of consonance and dissonance; (ii) the (non-local) perception of hierarchical musical structures; and (iii) the role of harmonic function in imagined music. I will then attempt to integrate these findings into the larger questions of how expectation guides our listening and imagery of music, and how the brain is wired to make these processes run smoothly in the background. Keywords: Musical imagery, Schenkerian analysis, consonance and dissonance; decoding fMRI, multivariate pattern analysis, time series analyses. [mehr]

Dr Til Ole Bergmann | On the function of neuronal oscillations: insights from transcranial brain stimulation and electrophysiology

Gastvortrag

Prof. Niels Birbaumer | Brain computer interfaces in paralyis and voluntary brain regulation

Gastvortrag
The neuropsychology of familiar people recognition through face and voice will be surveyed from the clinical and the cognitive point of view, taking into account modality-specific (prosopagnosia and phonagnosia) and multimodal person recognition disorders. Our starting assumption was that many patients with right temporal lobe atrophy are incorrectly labelled as prosopagnosics, because faces are often considered as the most important channel used to recognize familiar people. In fact a multimodal familiar person recognition disorder may more accurately characterise the deficit in these patients. The clinical and the cognitive implications of this starting point will be developed and some current research perspectives will be exposed. [mehr]

Prof. Gabriele Lohmann | Reproducibility, statistical inference and network analysis in fMRI at 3 Tesla and beyond

Gastvortrag

Dr Moritz Köster | Neuronal oscillations as a tool to investigate cognitive processes in adults and children

Gastvortrag

Dr Pauline Larrouy-Maestri | Does this melody sound right?

Gastvortrag

Natalie Schaworonkow | Computational modeling of the effects of transcranial magnetic stimulation

Gastvortrag
Transcranial magnetic stimulation is a promising technique for non-invasive therapeutic treatment of psychiatric and neurological conditions. However, the same stimulation protocol can elicit opposing effects on excitability and plasticity in different subjects. The effects of TMS on neural circuits remain poorly understood, which hinders the development of maximally effective stimulation protocols. In this talk, I discuss computational modeling approaches to understanding the high variability of TMS effects. Detailed electrical field modeling combined with compartmental model neurons can reveal subject-specific excitability response differences to TMS. Additionally, taking spontaneous oscillatory activity into account yields a phase-dependency in a model of TMS-induced I-waves, showing that ongoing brain activity can contribute to observed variability. [mehr]

Prof. Yaniv Assaf | The CONNECTOME: structure, function and evolution

Gastvortrag

Bharath Chandrasekaran, PhD | Neural systems in auditory and speech categorization

Gastvortrag

Dr Falk Eippert | Deconstructing pain processing in the human spinal cord

Gastvortrag
The spinal cord is not only the first part of the central nervous system where somatosensory information is processed, but also plays a substantial role in both acute and chronic forms of pain. Imaging this structure with fMRI faces several unique challenges, but has recently become feasible. Here, I will present several studies that investigate the spinal cord’s resting-state organization, its evoked responses to noxious stimulation and a modulation thereof due to cognitive manipulations. Having laid this ground-work, I will present current and planned studies that are based on the theory of predictive coding and aim to deconstruct the spinal cord pain response into prediction and prediction error signals. My hope is that this will allow for a more mechanistically informed understanding of pain in both its healthy and pathological form. [mehr]

Prof. Stefan Th. Gries | On the interface of corpus linguistics and psycholinguistics

Gastvortrag
For many years, corpus linguistics (the study of language based on ideally large databases of naturally-occurring language) on the one hand and theoretical and/or psycholinguistics on the other have existed side by side, with relatively little contact and mutual influence. Over the last 15-20 or so years, this has changed considerable: theoretical analyses as well as psycholinguistic, or more generally cognitively-inspired, studies now regularly use corpus data; particularly corpus frequencies are often used to, for instance, explain (aspects of) phenomena such language acquisition, processing, and change, or to merely control experimental stimuli with regard to their frequencies in psycholinguistic experimentation. In the first part of this talk, I will first discuss a few aspects in which I believe corpus data have more to offer to researchers who wish to establish a connection between corpus data and psycholinguistic or cognitive mechanisms; in the second part, I will discuss a case study from learner corpus research on _that_-complementation that showcases (i) recently-developed quantitative approaches in corpus linguistics in general as well as (ii) the application of one of several information-theoretic predictors in corpus-based studies of linguistic alternations. [mehr]

Itamar Ronen, PhD | Diffusion of intracellular metabolites: A cell preferential probe for microstructure and physiology

Gastvortrag

Professor Andrea Kupfer Schneider | Navigating career paths and leadership for women in academia

Workshop

Prof. Dr Lila Davachi | The life of a memory: post-encoding reactivation and reorganization of episodic memory

Gastvortrag

Prof. Kevin Ochsner | Emotion and emotion regulation: From the self to social contexts

Gastvortrag

Prof. Roberto Cabeza | Memory networks and representations

Gastvortrag

Prof. Cristiano Chesi | A competence-based (Top-Down) model for parsing (complex) non-local dependencies

Gastvortrag

Dr Maxim Zaitsev | New Frontiers in MR Imaging

Gastvortrag

PD Dr Valerij G. Kiselev | Diffusion MRI -- Quo vadis?

Gastvortrag

Dr Christian Gaser | Computational Anatomy

Gastvortrag

Prof. Sascha Fruehholz | Neural system for perceiving and producing affective vocalizations

Gastvortrag

Dr Dimo Ivanov | Developments and applications for (ultra) high field neuroimaging

Gastvortrag

Jason Samaha | Oscillatory dynamics supporting visual attention and awareness

Gastvortrag

Prof. Trevor W. Robbins | Attention to Action: Fronto-striatal Substrates of Impulsivity and Compulsivity

Gastvortrag

Meghan Puglia | Epigenetic regulation of brain signal complexity in infancy

Gastvortrag (intern)

Prof. Matt Lambon Ralph | Semantic representation and its disorders

Gastvortrag

Prof. Josiane Broussard | "Pathways linking insufficient sleep to obesity and diabetes risk"

Gastvortrag

PhD Andrea Martin | Linking linguistic and cortical computation via hierarchy and time

Gastvortrag

Dr Romi Zäske | Neural correlates of voice learning and recognition

Gastvortrag
Listeners can recognize familiar speakers from their voices alone with remarkable accuracy and across a wide range of utterances. However, itis relatively unknown how, when, and under which conditions voices become familiar. Here, I will give an overview of recent EEG and fMRI studies from our lab using recognition memory paradigms to unravel the neural mechanisms of voice learning and subsequent recognition under conditions pertaining to the speech material, speaker and listener age as well as attentional factors. In two studies we showed that following learning of unfamiliar voices by means of brief sentences, voices can be recognized among novel voices, even from previously unheard sentences. This suggests the successful acquisition of speech-invariant voice representations. In the EEG, learned compared to novel voices elicited a suppression in beta-band oscillations from ~300 ms following voice onset independent of speech content, indicating the detection of newly-learned speaker identities at test. In fMRI, explicit voice recognition independent of speech content recruited both voice-sensitive cortex areas of the right superior temporal gyrus and extra-temporal areas including the right inferior frontal cortex. Furthermore, our research on the role of speaker and listener age shows that both young and old adult listeners are better at learning old compared to young voices – an effect possibly related to the distinctiveness of old voices. Finally, I will present data suggesting that successful voice recognition is enhanced by intentional learning and is partly dissociable from non-intentional learning in ERP patterns during learning (from ~250 sm) and recognition (from ~500 ms). Overall, these studies mutually show that newly-learned voices can be recognized following only a few voice repetitions by means of brief sentence stimuli, and that voice learning is modulated by characteristics of the stimulus material and top-down mechanisms as reflected both in behavioral and neurophysiological measures. [mehr]

Lorijn Zaadnoordijk, MSc | Discovering structure in the confusion: The emerging sense of agency

Gastvortrag

Prof. Gregory Kobele | Relating linguistics and the brain

Gastvortrag

PhD Jongho Lee | Imaging myelin and iron in the brain

Gastvortrag

Dr Andreas Spiegler | Stimulation in large-scale brain network models

Gastvortrag

Prof. Ursula van Rienen | Computational studies on the volume of activated tissue in deep brain stimulation

Gastvortrag

Dr Marie-Luise Brandi | Simulating social gaze: A paradigm to study gaze-based social interaction

Gastvortrag

Dr Yukie Nagai | Predictive Learning: A computational theory that accounts for social cognitive development

Gastvortrag

Dr Bernadette Van Wijk | Normal and abnormal oscillations in the cortico-basal ganglia network revealed by deep brain stimulation recordings

Gastvortrag
Deep brain stimulation treatment allows for the recording of local field potentials in the subthalamic nucleus of patients with Parkinson’s disease. This has revealed that beta band oscillations (13-30Hz) are a hallmark of the disease. In this presentation, I will first show how beta band oscillations relate to Parkinsonian symptoms. Their coupling with high-frequency oscillations (HFO, 150-400Hz) might be an important clue in order to understand how they lead to movement impairment. However, little is known about the neuronal origin of these HFO. We investigated whether they are likely to arise from the same cell populations as beta oscillations using intra-operative recordings. This involved localization of electrode contacts on post-operative MRI scans and warping to MNI space for group-level results. Finally, in the last part of the talk I will present our efforts to study the effect of dopaminergic medication on synaptic coupling strengths within the cortico-basal ganglia circuit using dynamic causal modelling. [mehr]

Dr Naomi Havron | Syntactic adaptation as a mechanism that drives and supports language acquisition

Gastvortrag

Prof. Ingo Bojak | Towards state and parameter estimation in neural populations models (of anaesthesia)

Gastvortrag

Linda Drijvers | The neural mechanisms of how iconic gestures boost degraded speech comprehension in native and non-native listeners

Gastvortrag

Dr Nicola Molinaro | Delta vs. theta speech entrainment: MEG evidence from typical and atypical language users

Gastvortrag

Prof. William F. Colmers | ​​NPY, Stress and Resilience

Gastvortrag
Responding to stress is adaptive for most complex organisms, aiding survival by temporarily mobilizing resources to let the organism better flee or defend itself in response to a perceived threat. Once the threat is ended, the response normally subsides, allowing the organism to pursue other key survival activities. But if the stress response never reverses, or is triggered inappropriately, as with extreme stressors such as trauma, it may lead to psychiatric disorders such as anxiety and PTSD. Some individuals, like Special Forces soldiers, are inherently resilient to most stressors. Such resilient individuals have higher levels of Neuropeptide Y (NPY) in their blood and CSF. Experimental injections of NPY into brain ventricles or into the amygdala of rodents can induce an acute resilience to stress and a prolonged (weeks to months) period of resilience with just a few repeated treatments. Conversely, the stress hormone, Corticotrophin Releasing Factor (CRF), respectively causes acute and prolonged vulnerability to stress when injected acutely or repeatedly into the same brain structures. Activity of projection neurons (PNs) in the basolateral amygdala (BLA) mediates fear and anxiety responses, and reducing PN activity reduces both. Earlier work from the Colmers and Urban laboratories demonstrated opposing actions of NPY and CRF on BLA PN excitability: NPY acutely hyperpolarized these cells, while CRF acutely depolarized them. The mechanism was unusual, in that NPY reduced a membrane ion current, the H-current (Ih), while CRF activated it. Because Ih is hyperpolarization-activated, it is active at the resting potential, so by closing Ih, NPY hyperpolarizes PNs, while CRF opening it depolarizes them. Repeated (5 x daily) injection of NPY causes stress resilience in rats (seen as increased social interaction) persisting longer than 4 weeks. BLA PNs from NPY-treated animals were hyperpolarized at 4W, exhibiting a relative marked loss of Ih and correlating with reductions in mRNA and protein levels for HCN1, the Ih channel subunit in these cells. shRNA knockdown of HCN1 in BLA caused long-term behavioral stress resilience, indicating HCN1’s role in behavior. Using a novel organotypic slice culture system of the BLA, we studied mechanisms underlying long-term changes, mimicking the repeated application of NPY and receptor-selective agonists. Briefly, NPY did reduce Ih in these cells,but more prominently reduced the extent of BLA PN dcendrites, while CRF increased them (as is known to happen in vivo both with CRF and stress). Studies in BLA from NPY-treated rats confirmed the reduction in dendritic trees in vivo. The NPY Y5 receptor mediates the long-term changes, and requires calcineurin and the autophagic pathway to do so, while the CRFR1 receptor is involved in the increase, and requires CaMKII. Because the work wasa all done in male rats, ongoing work is determining if the same actions of NPY and CRF occur in female BLA. [mehr]

Dr Christian Kell | Time after time - endogenous neural clocks serving information coding and perception

Gastvortrag

Dr Michael Tangermann | Oscillatory and evoked components of the EEG and how to put them to use in stroke rehabilitation

Gastvortrag
Interacting with an individual brain in closed loop can open the door for detailed introspection into sensorimotor and cognitive processes. However, closed-loop paradigms require data analysis methods capable of decoding neural components of interest in single-trial, despite of low signal-to-noise ratio and non-stationarity. In my talk, I will report on two novel algorithmic developments of my lab. The methods allow for the robust supervised regression of informative oscillatory components of the EEG and the unsupervised classification of evoked potentials. Then I will show, how the derived components can be exploited in two brain state informed stroke therapy paradigms, which are designed to train up (1) hand motor performance and (2) the language network of chronic aphasic patients after stroke. [mehr]

Prof. Soyoung Park | The motives and modulators of decision making

Gastvortrag

Maximilian Friehs | Neuromodulation via tDCS - Modification of cognitive control processes

Gastvortrag

Dr Stefan Elmer | The multifaceted influence of music training on speech processing and word learning

Gastvortrag

Professor Gil Gregor Westmeyer | Towards molecular reporters for MR neuroimaging in preclinical models

Gastvortrag

Dr Robert Nadon | Incentives, transparency, and personal responsibility in biomedical research

Gastvortrag

Prof. Andrea Moro | Inner Speech, Generalized Merge and the Architecture of the Language Faculty.

Gastvortrag
When is sound paired with meaning during language production? The exploration of inner speech offers a unique opportunity to approach this fundamental question, allowing a general reflection on the architecture of human language structure and its evolution. Recent experiments based on awake surgery techniques show that during language production the code exploited by neurons contains acoustic information even in non-acoustic areas such as Broca’s area and even during inner speech (Magrassi et al. 2014), that is without externalization (Chomsky 2013, Friederici et al. 2018). After illustrating these results and their implications I will highlight the surprising convergence with an independent proposal predicting these findings from the point of view of a purely formal theory aiming at explaining some apparently idiosyncratic morphological properties of the English verb system (Kayne 2016). Further speculation on Merge and clause structure will be addressed according to the results described here (Moro 2004). [mehr]

Prof. Gareth Barnes | A new generation of MEG scanners

Gastvortrag
I will talk about collaborative work between University College London and the University of Nottingham to use optically pumped magnetometers (OPMs) for human brain imaging. These sensors have comparable sensitivity to current cryogenic devices but do not require cooling. This means that the sensor array can be worn (rather than climbed into) and the smaller separation between sensor and brain means optimal (and improved) signal to noise ratio in all subject cohorts. I will talk about our initial modelling and experimental work with these new sensors. One of the exciting advances has been to keep these arrays operational during head-movement through a static magnetic field. This has opened up many new clinical and neuroscientific possibilities and I will talk about some of our experiences with these new paradigms. [mehr]

Prof. Cornelius Borck | From neuroimaging to in-vivo histology: does a new realism in visualization threaten critical neuroscience?

Gastvortrag
Over the last couple of years, the public fascination about colorful brain images seems to have a little waned and also expectations that social neuroscience will soon replace psychology. In this situation, the availability of in-vivo histology – in itself certainly a highly valuable method to validate imaging data and to search for objective pathological criteria – may have a problematic sociopolitical effect: Offering in-vivo anatomical information of new quality may foster unjustified trust in more problematic applications of neuroimaging. The talk will discuss this issue in light of shifting trends over the last decades: The availability of new technologies for visualizing brain activity generated some 25 years ago expectations to identify the centers responsible for all psychic states and to “reduce” mental processes to neuronal states – a project spurring harsh critiques from philosophy and cultural studies. With the visualization of more sophisticated phenomena, social and cultural neuroscience emerged, replacing overstated reductionist claims by integrating sociocultural aspects into neuroimaging but kindling “critical neuroscience” to question implicit essentialist assumptions. The new realism of in-vivo histology poses the question whether it will undermine concerns about the societal applications of neuroimaging. [mehr]

Prof. Christoph S. Herrmann | Transcranial alternating current stimulation: Models, EEG/MEG, and cognition

Gastvortrag

PhD Guido Nolte | Understanding Phase Amplitude Coupling from Bi-spectral Analysis

Gastvortrag

Dr Uku Vainik | Unifying the many neurocognitive traits associated with obesity: Uncontrolled Eating

Gastvortrag
Many eating-related psychological constructs have been proposed to explain obesity and over-eating. However, these constructs, including food addiction, disinhibition, hedonic hunger, emotional eating, binge eating, and the like all have similar definitions, emphasising loss of control over intake. As questionnaires measuring the constructs correlate strongly (r>0.5) with each other, we propose that these constructs should be reconsidered to be part of a single broad phenotype: Uncontrolled Eating (UE). Such an approach enables reviewing and meta-analysing evidence obtained with each individual questionnaire. Here, we describe robust associations between UE, body mass index (BMI), food intake, psychological traits, and brain systems. Reviewing cross-sectional and longitudinal data, we show that UE is phenotypically and genetically intertwined with BMI and food intake. We also review evidence on how three independent psychological constructs may contribute to UE: heightened food reward sensitivity, lower self-control, and higher negative affect. UE mediates all three constructs’ associations with BMI and food intake. Finally, we review and meta-analyse brain systems subserving UE: namely, (i) the dopamine mesolimbic circuit associated with reward sensitivity, (ii) frontal cognitive networks sustaining dietary self-control, and (iii) the hypothalamus-pituitary-adrenal axis, amygdala and hippocampus supporting stress reactivity. While there are limits to the explanatory and predictive power of the UE phenotype, we conclude that treating different eating-related constructs as a single concept, UE, enables drawing robust conclusions on the relationship between food intake and BMI, psychological variables, and brain structure and function. [mehr]

Prof. Ralf Deichmann | MR Imaging methods for measuring brain tissue parameters: Technical challenges and applications

Gastvortrag
There is an increasing number of research studies that are based on quantitative MR imaging (qMRI) techniques for the direct mapping of brain tissue properties. The parameters most frequently mapped are the water content or proton density (PD) and the relaxation times (T1, T2, T2*). An important application of qMRI is the construction of synthetic anatomical data sets with novel contrasts. In clinical studies, the careful evaluation of qMRI data allows for the detection of diffuse pathologies in normal appearing brain tissue. However, the design of reliable mapping methods is technically challenging as various secondary effects have to be compensated for to avoid a residual bias in the data. In the presentation, some of the most prominent qMRI techniques will be shortly described. There will be a special focus on the application of qMRI in clinical research, in particular for Tumour Imaging, in Multiple Sclerosis (MS) and in Epilepsy. [mehr]

Dr Guido Seddone | On the Neurobiological Requisites of Language Codification

Gastvortrag
In this talk I will focus on the relation between the biological premises of the mind and the appropriate use of the languages. I will maintain that language acquisition and its correct deployment do not merely rely on the cerebral activities but that they are rather determined by a self-conscious process of codification of practices, uses and information about the outer world by which the rational subject masteries the brain processing itself. Consequently, the brain activities that can be empirically observed and described by natural laws are the outcome of a self-aware governance of the biological requisites by the codification of both the formal and the natural languages and by the constitution of the person as an individual whose linguistic competencies are acknowledged. The advantage of this approach consists in avoiding to represent the brain features as a bare natural phenomenon determined by external causes and to deliver a conception of the cognitive and linguistic faculties as the outcome of the autonomous, social and self-aware embodiment of cognitive skills ruling from within the biological cerebral activity. I will eventually challenge the idea that language understanding is computational and underlie the autonomous and self-aware character of the cognitive disposition. [mehr]

Dr Natalie Uomini | Paleoneurology and functional brain imaging to study the evolution of tools and language

Gastvortrag

Dr Stephanie Wong | A new framework for conceptualizing symptoms in frontotemporal dementia: From animal models to the clinic

Gastvortrag

Dr Thorsten O. Zander | Towards Neuroadaptive Technology: An outlook on the potential impact of Passive Brain‐Computer Interfaces on Technology, Neuroscience and Society

Gastvortrag

Prof. Martin von Bergen | Multi-omics analysis of microbiome mediated health effects

Gastvortrag

Pia Schroeder | Neural basis of somatosensory target detection: From local interactions to frontoparietal networks

Gastvortrag
The scientific study of somatosensory awareness has yielded highly diverse findings with putative neural correlates ranging from local interactions within somatosensory cortices to activation of widely distributed frontoparietal networks. A potential source of these divergent results may reside in latent cognitive processes that often coincide with stimulus awareness in experimental settings. In fact, the most commonly employed experimental paradigm, the near-threshold somatosensory detection task, may conflate somatosensory awareness with processing of stimulus uncertainty, overt reports, and motor planning. To elucidate the contribution of these processes to neural activity commonly assumed to reflect somatosensory awareness, we employed a novel somatosensory detection task in combination with functional magnetic resonance imaging (fMRI). Participants received electrical target stimuli at intensities spanning the full range of their psychometric functions to vary stimulus uncertainty while maintaining spontaneous fluctuations in stimulus awareness. Instead of directly reporting target detection, participants assessed the congruence of their somatosensory percepts with simultaneously presented visual reference cues and reported a match or mismatch by making saccadic eye movements, such that target detection was decorrelated from overt reports and motor planning. Using a Bayesian analysis approach, we track the transformation from physical to perceptual stimulus representations along the somatosensory hierarchy. We show that the emergence of stimulus awareness is largely restricted to somatosensory regions, whereas activity in frontal and parietal areas is best explained by stimulus uncertainty and overt reports. Our results emphasize the role of early sensory cortex for conscious perception and dissect the contribution of the frontoparietal network to classical detection tasks. [mehr]

Dr Julian Keil | Neuronale Korrelate audiovisueller Illusionen: Die nächsten Schritte

Gastvortrag
Aus unserer Umwelt nehmen wir ständig Informationen auf, die eingeordnet und bewertet werden müssen, damit in unserem Bewusstsein ein individuell kohärentes Bild erschaffen werden kann. Eine Reihe empirischer Befunde in den letzten Jahren hat Hinweise erbracht, die darauf hindeuten, dass der funktionelle Zustand des Gehirns diese Informationsverarbeitung beeinflusst. So konnte beispielsweise gezeigt werden, dass die Amplitude und Phase kortikaler Aktivität, sowie die Kommunikation zwischen kortikalen Arealen relevant sind für die Verarbeitung unisensorischer und multisensorischer Reize. In diesem Vortrag werde ich die aktuelle Literatur zu den neuronalen Mechanismen multisensorischer Verarbeitung zusammenfassen und dabei vor Allem auf neuronale Oszillationen eingehen. Dabei schlage ich vor, dass unterschiedliche Frequenzbänder ergänzende Mechanismen multisensorischer Verarbeitung abbilden. Im Anschluss werde ich offene Fragen in diesem Forschungsfeld diskutieren, mit einem besonderen Augenmerk auf der Rolle kognitiver Prozesse, Aufmerksamkeit, Erwartungen und Emotionen. [mehr]

Dr Elena Kleban | Probing the myelin water and venous compartments using non-linear signal phase evolution

Gastvortrag

Prof. Felix Blankenburg | From Tactile Perception via Working Memory to Decision Making and Action

Gastvortrag

PhD Masaki Fukunaga | Brain microstructure and function using ultra high field MRI

Gastvortrag
The observation of the living body by the magnetic resonance imaging (MRI) depends on the spatial resolution and signal noise ratio (SNR), as well as relaxation time and contrast which is a tissue parameter. The advent of 7 tesla (T) ultra high field MR technology provides unprecedented capabilities for non-invasive imaging of human and animal model brain. This technical ability encompasses a range of functional and structural domains, as well as new opportunities for quantifying neurochemicals using spectroscopic techniques. In addition, increasing the static magnetic field strength promotes signal phase dispersion and shift. Predicted benefits included a stronger Blood Oxygenation Level Dependent (BOLD) effect which is used for detecting brain activity, improved signal and contrast-to-noise (CNR) ratio. By using optimal measurement techniques, improved CNR provides the delineation of the brain microstructure including laminar structure in cortex in vivo. In this talk, I'd like to present our experiences of 7T human brain imaging, especially in high resolution susceptibility imaging and somatotopic fMRI studies. [mehr]

Prof. Michael T. Ullman | Language learning relies on brain circuits that predate humans: Evidence from typical and atypical language development

Gastvortrag

Dr Tim B. Dyrby | Multi-scale imaging of the brain network: From brain networks to microstructure

Gastvortrag
Diffusion MRI enables insights into brain structure at different anatomical length scales. Although of its relative coarse millimetre image resolution it can provide a direct insight into the brain network via tractography. However, the microstructural environment such as axons can only be observed indirectly from a combination of the MRI sequence and biophysical modelling. Validation allows us to questioning the MRI sequence-biophysical modelling framework and its results that are based on assumptions on what we believe to be the ground truth. In this lecture, I will first discuss if it is possible simply by changing key sequence parameters of dMRI (b-value, directions and image resolution) to improve structural connectivity (SC) compared with tracers? Then, I will discuss axon diameter estimation with diffusion MRI, and the validation challenges we have to understand its observed deviation between the ground truth of today being 2D validation methods. [mehr]

Dr Wojciech Samek | Interpretable Deep Learning & its Applications in the Neurosciences

Gastvortrag

Dr Giacomo Novembre | Saliency detection as a reactive process: unexpected sensory events evoke cortico-muscular coupling

Gastvortrag

Dr Radoslaw Martin Cichy | Dynamics of visual cognition: A spatio-temporally resolved and algorithmically explicit account

Gastvortrag

Dr Stefanie Peykarjou | Employing FPVS tasks to study cognitive development

Gastvortrag

PhD Markus D. Schirmer | Spatial effects of white matter hyperintensity disease burden from clinical stroke populations

Gastvortrag
The identification of biomarkers. which can help predict disease outcome. remains one of the most promising research areas across a variety of diseases. Particularly. studying the spatial distribution of underlying disease burden may provide important insights into pathological patterns. Stroke is one of the leading causes of death and disability worldwide. however. it remains largely understudied in the acute setting due to time restrictions during data acquisition and the resulting low resolution magnetic resonance images. This has made outcome prediction particularly difficult. as it leads to heterogeneity in the data and/or methodologies between studies. One of the key phenotypes of stroke research is a patient's white matter hyperintensity (WMH) burden. most commonly assessed using FLAIR images. which has been linked to stroke outcome. Studies often rely on measuring the total burden and summarize it as a single number: it’s volume. based on manual outlines on a patient’s scan. The lack of an automated segmentation methodology for clinical data has so far hindered large-scale. reproducible investigations. In the first part of this talk. we present an automated pipeline for monomodal automatic WMH segmentation. which can alleviate some of these challenges. Specifically. we demonstrate it's efficacy for volume estimation in a cohort of 2.533 patients. showing the association between higher WMH burden and poorer outcome after stroke (p<0.001). In the second half of this talk. we demonstrate the use of WMH segmentations for investigating spatial WMH disease burden and how other clinical variables can modify these patterns. In particular. we demonstrate effects for hypertension and smoking status. and show that these clinical variables lead to a shift of disease burden from posterior to anterior vascular regions (p<0.05 and p<0.01. respectively). This illustrates the potential of uncovering spatial variations of disease patterns by using large-scale cohorts. [mehr]

Dr. Ruth Percik | A Novel Therapeutic Approach to Obesity: CNS Modification by N.I.R. H.E.G. Neurofeedback

Gastvortrag
Despite the thorough mapping of brain pathways involved in eating behavior, no treatment aimed at modulating eating dysregulation has been established yet. Aiming for a feasible brain-modulation tool, we evaluated N.I.R. H.E.G. (Near Infra-Red Hemoencephalography) neurofeedback training on appetite control, weight and food-related brain activity. Following the intervention, we observed trends of increased self-control related to food, weight reduction and increased activation of sOFC during a response-inhibition fMRI task. N.I.R. H.E.G. holds a promising potential as a feasible neurofeedback platform for modulation of cortical brain circuits involved in self-control and eating behavior. This is an invitation for further evaluation and development of N.I.R. H.E.G. as a brain modifying device for the treatment and prevention of obesity. Based on: A pilot study of a novel therapeutic approach to obesity: CNS modification by N.I.R. H.E.G. neurofeedback Clin Nutr. 2018 Feb 7. pii: S0261-5614(18)30043-8. Percik R, Cina J, Even B, Gitler A, Geva D, Seluk L, Livny A [mehr]

Prof. David Copland | Testing neurobiological predictors and principles of aphasia recovery

Gastvortrag

Prof. Bernard Mazoyer | Brain hemispheric specialization: recent advances with the BIL&GIN database

Gastvortrag

Prof. Thomas Suddendorf | Emerging foresight

Gastvortrag

Dr Gunnar Waterstraat | Evoked somatosensory high-frequency oscillations as model potentials to study human cortical population spikes non-invasively

Gastvortrag

PD Dr Gabriele Lohmann | Statistical inference and new approaches to eigenvector centrality mapping for fMRI at 3T and beyond

Gastvortrag

Prof. Gustaf Gredebäck | Infant’s actions broaden their mind

Gastvortrag

Prof. Stefan Heim | If so few are "many" – how many are "few"? The neurocogntion of quantifier processing

Gastvortrag

Sliman Bensmaia, PhD | Biological and Bionic hands: Natural neural coding and artificial perception

Gastvortrag

G. Allan Johnson, Ph.D. | Connectomic Histology

Gastvortrag

Dr Romina Mizrahi | Molecular imaging studies in psychosis and psychosis risk

Gastvortrag

Dr Ian Charest | Tracking object representations in the brain

Gastvortrag

Dr Zsolt Turi | Prospective electric field estimation method for dosing repetitive transcranial magnetic stimulation in humans

Gastvortrag

Prof. Markus Kiefer | Grounded cognition: Foundations of conceptual representations in the sensory and motor systems

Gastvortrag

Professor Carlos A. Aguilar-Salinas | "Peculiarities of diabetes in Mexico"

Gastvortrag

Prof. Aviv Mezer | Identifying white-matter pathways using quantitative MRI

Gastvortrag

Dr Martin Hebart | Towards a comprehensive understanding of mental representations and categorical decisions about real-world objects

Gastvortrag

Prof. John T. Hale | Modeling neural time courses with linguistic structure

Gastvortrag

Prof. Markus Werkle-Bergner | Towards understanding the triage of sleep, memory, and brain development: Potentials and challenges

Gastvortrag

Prof. Dirk Ostwald | The neurocomputational mechanisms of human sequential decision making under uncertainty in a spatial search task

Gastvortrag

Prof. Dominik R. Bach | Action-selection under threat: Algorithms and neural circuits for survival

Gastvortrag

Dr Marc Tittgemeyer | Food Intake in Control of Cognition or Cognition in Control of Food Intake? A bottom-up perspective on cognitive processes underlying food intake regulation

Gastvortrag

Dr Christoph Korn | Modelling multistep reward-based decisions and social learning about other persons’ character traits

Gastvortrag

Dr Carmen Vidaurre | Brain-computer interface and sensorimotor oscillations: novel perspectives and methods

Gastvortrag

Dr Eric Schulz | Using structure to explore efficiently

Gastvortrag

Prof. Kenneth Norman | Computational principles of event memory

Mind Meeting

Nace Mikus | Computational phenotyping of dopaminergic manipulations

Gastvortrag
The dopaminergic circuits lie at the core of learning and motivational processes through which we are able to form predictions about the future and take action accordingly. Studies in animals have shown that midbrain dopaminergic neurons projecting to the striatum signal events in the environment that deviate from what we expect. A prevalent model of the dopaminergic function suggests that these so-called prediction errors –propagated by the D1 dopamine receptors to cortical areas – modulate synaptic plasticity and thereby facilitate learning and initiation of action. While D2 dopamine receptors in the striatum as well as prefrontal striatal projection regulate and modulate this signal propagation. How this neurobiological model of dopaminergic activity relates to behaviour has been difficult to address. In my talk I will present several pharmacogenetic studies that map manipulations of the dopaminergic system on to various computational phenotypes. First of all, we are interested in the role of dopamine in updating beliefs in a social as well as a non-social context. And second, we explored dopamine’s involvement in model-based decision making. Specifically, how does blocking D2 transmission affect our ability to keep the regularities and knowledge about the world online as we make decisions and learn about the states of the world that are not directly observed? [mehr]

Prof. Karen Emmorey | Neural effects (and non-effects) of iconicity in sign language

Gastvortrag

Prof. Soyoung Q Park | Motives and modulators of human decision making

Gastvortrag
What drives us to trust someone we just met? Did we eat spaghetti for lunch because we saw our colleague eat spaghetti? Can we become happier when we are nicer to our neighbors? How does the content of our breakfast have anything to do with our social interactions throughout the day? Research from different disciplines such as economics, psychology and neuroscience have attempted to investigate the motives and modulators of human decision making. Our decisions can be flexibly modulated by the different experiences we have in our daily lives. These modulations can occur through our social networks, through the impact of our own behavior on the social environment, but also simply by the food we have eaten. Here, I will present a series of recent studies from my lab in which we shed light on the psychological, neural and metabolic motives and modulators of human decision making. [mehr]

Dr Lei Zhang | Multiple facets of social influence in goal-directed learning

Gastvortrag

Dr. David Carmichael | Quantitative mapping using MRI in children with focal epilepsy

Gastvortrag (intern)
In this talk I will introduce epilepsy treatment using surgery in children, which can be highly effective when drug therapy fails. Many of these patients have cortical abnormalities that are termed focal cortical dysplasia's. In this context, the identification and classification of abnormal tissue that is performed using MRI has important implications for treatment. However, there is also a unique scientific opportunity to validate MRI measures by comparison to tissue samples obtained during surgery. In this talk I show some of our results using diffusion-based MRI maps and some preliminary analysis of MPM maps. Sara Lorio will then describe our work using quantitative susceptibility maps to characterise abnormalities in cortical structure in focal cortical dysplasia. [mehr]

Dr Nikolai I. Avdievich | Improvement of Central SNR and Transmit Coverage of a Human Head Phased Array at Ultra-High Field Using Dipole Antennas

Gastvortrag
The first part of the presentation deals with an improvement of the central SNR of human head array at ultra-high magnetic fields (UHF, > 7T). Increasing the number of surface loops in a human head receive (Rx) array improves the peripheral signal-to-noise ratio (SNR), while SNR near the brain center doesn’t substantially change. Recent theoretical works demonstrated that an optimal central SNR at UHF requires contribution of two current patterns associated with a combination of surface loops and dipole antennas. Use of various dipole antennas as MRI RF detectors has been recently introduced and successfully implemented mostly for imaging human body sized objects. In this work, we evaluated and compared several Rx dipole-like elements for use within human head UHF Rx-array. We constructed and characterized novel single-row and double-row phased arrays, which consisted of transceiver (TxRx) surface loops and Rx-dipoles. We demonstrated that combining surface loops and dipole-like elements substantially (> 30%) improve SNR near the brain center as compare to arrays consisted of surface loops only. The second part of the presentation discusses an improvement of the transmit (Tx) coverage of the human head array coils. Due to a substantial shortening of the RF wave length (below 15 cm at 7 T), RF magnetic field at UHF has a specific Tx excitation pattern with strongly decreased (more than 2 times) values at the periphery of a human head. This effect is seen not only in the transversal slice but also in the coronal and sagittal slices, which considerably limits the longitudinal Tx-coverage (along the magnet’s axis) of conventional surface loop head arrays. In this work, we developed a novel human head UHF array consisted of 8 TxRx folded dipole antennas circumscribing a head. Due to an asymmetrical shape of dipole elements, the array couples to the intrinsic “dielectric resonance” mode of the head. Due to this interaction, firstly, the new array provides for a simple way of minimizing the maximum local SAR. Secondly, it provides for a longitudinal coverage better than that achieved by a similar array consisted of unfolded dipoles as well as by an 8-element single-row and 16-element double-row surface loop arrays. [mehr]

Dr Denis A. Engemann | Large-scale analysis of electrophysiology data in cognitive neurology

Gastvortrag

PhD Juergen Dukart | Improving reliability, replicability and interpretability of neuroimaging research – Bridging neuroimaging and underlying biology

Gastvortrag
Recent studies have questioned the reliability of many functional neuroimaging findings reported in the literature over the past decades. In my talk I will illustrate how novel analytic workflows (Dukart et al., 2018, Scientific Reports; Holiga et al. 2019, Science Translational Medicine) may overcome some of the critical limitations of functional neuroimaging analyses improving the reliability of the methods as well as providing an improved interpretation of potential signals with respect to underlying biology and for identification of biomarkers for neurological and psychiatric diseases. [mehr]
Today only seven percent of the subcortical structures listed by the Federative Community on Anatomical Terminology (FCAT, 1998) are depicted in available standard MRI-atlases (Forstmann et al., 2016). As a consequence, the remaining 423 subcortical structures cannot be studied using automated analysis protocols available for MRI and therefore require trained anatomists for the study of subcortical brain areas: The human subcortex is notoriously difficult to visualize and analyze with functional magnetic resonance imaging. In this talk, exciting technical advances are presented that allow charting terra incognita; the human subcortex. Closing the knowledge-gap of the human subcortex has already resulted in the re-evaluation of prominent models in the cognitive neurosciences such as the functional role of cortico-basal ganglia loops in decision-making. I will discuss the emerging possibilities of novel human neuroanatomical approaches and directions for the incorporation of these data within the field of model-based cognitive neuroscience. [mehr]

Dr Yifei He | Exploring gesture-speech interaction using multimodal neuroscientific methods: a translational perspective

Gastvortrag

Prof. Chet Sherwood | Great Apes as Models for Understanding Human Brain Evolution

Gastvortrag

Prof. Jan Born | About the memory function of sleep

Mind Meeting

PhD Yasemin Vardar | Tactile perception of electrovibration displayed on touchscreens

Gastvortrag

Dr Gabriel Ziegler | Brain changes during the transition from adolescence into adulthood

Gastvortrag

Prof. Costantino Iadecola | The Vascular Biology of Dementia

Gastvortrag

PD Dr Eike Budinger | From birth until old age: Anatomy and development of cortical multisensory connections

Gastvortrag
Multisensory integration does not only recruit higher-level association cortex, but also primary sensory cortices like A1 (auditory), S1 (somatosensory), and V1 (visual). The underlying anatomical pathways, which might preferentially serve short-latency integration processes, include direct thalamocortical and corticocortical connections across the senses. We investigated how these multisensory connections develop over the individual’s lifespan and how early sensory deprivation alters them. Using tracer injections into A1, S1, and V1 of a rodent model (Mongolian gerbil) we could show that multisensory thalamocortical connections emerge before corticocortical connections but mostly disappear towards the end of the critical sensory period. Early auditory, somatosensory, or visual deprivation increases multisensory connections via axonal reorganization processes mediated by non-lemniscal thalamic nuclei and the primary areas themselves. Functional imaging reveals a mostly reduced stimulus-induced activity but a higher functional connectivity specifically between primary areas in deprived animals. In adult animals, primary sensory cortices receive substantial inputs from thalamic nuclei and cortical areas of non-matched sensory modalities. In very old animals, these multisensory connections strongly decrease in number or vanish entirely. This is likely due to a retraction of the projection neuron axonal branches and is accompanied by changes in anatomical correlates of inhibition and excitation in the sensory thalamus and cortex. Together, we show that during early development, intracortical multisensory connections are formed as a consequence of sensory driven multisensory thalamocortical activity and that during aging, multisensory processing is probably shifted from primary cortices towards other sensory brain areas. [mehr]

PhD Hadas Okon-Singer | Cognitive-Emotional Biases in Psychopathology: Searching for New Treatment Strategies

Gastvortrag
Various psychological disorders are characterized by pronounced cognitive biases, including biased orienting of attention to certain stimuli, distorted expectation of the likelihood to encounter specific objects, biased interpretation of ambiguous information and biased perception. Although these biases are common in psychopathology, most of the studies so far focused on one bias by employing traditional analysis methods. Therefore, little is known about the correlational and causal relations between different biases and about combined patterns that may characterize certain disorders. In this talk, I will discuss recent behavioral, fMRI and autonomic data showing links between biases, as well as modulation of biased emotional processing in different populations. Moreover, by employing machine-learning based analysis, we managed to specify specific behavioral patterns that characterize anxiety vs. depression, two disorders that share many characteristics and show high comorbidity. Finally, I will discuss recent evidence for abnormalities in the blood pressure reaction to aversive pictures among individuals with pre- hypertension, a population that is usually not studied in the context of psychological reactions. Taken together, these findings suggest new strategies to explore and treat maladaptive behaviors that have fundamental implications on the patients’ life. [mehr]

PhD Peter Johannes Uhlhaas | Using Magnetoencephalography to Identify Circuit Dysfunctions and Biomarkers in Schizophrenia

Gastvortrag
A considerable body of work over the last 10 years combining non-invasive electrophysiology (electroencephalography/magnetoencephalography) in patient populations with preclinical research has contributed to the conceptualization of schizophrenia as a disorder associated with aberrant neural dynamics and disturbances in excitation/inhibition (E/I) balance parameters. Specifically, I will propose that recent technological and analytic advances in MEG provide novel opportunities to address these fundamental questions as well as establish important links with translational research. We have carried out several studies which have tested the importance of neural oscillations in the pathophysiology of schizophrenia through a combination of MEG-measurements in ScZ-patients and pharmacological manipulations in healthy volunteers which target the NMDA-receptor. These results highlight a pronounced impairment in high-frequency activity in both chronic and unmedicated patients which could provide novel insights into basic circuit mechanisms underlying cognitive and perceptual dysfunctions. However, acute Ketamine only partly recreates abnormalities observed in both resting-state and task-related neural oscillations in ScZ, suggesting potentially shortcoming of this pharmacological model for capturing large-scale network dysfunctions. Our recent work has employed MEG to develop a biomarker for early detection and diagnosis of ScZ. We have obtained MEG- and MRS-data from 125 participants meeting clinical high-risk criteria (CHR), 90 controls and 30 FEP-patients. We found marked changes in the synchrony of gamma-band oscillations in visual and auditory cortices during sensory processing which predicted clinical outcomes. In addition, CHR-participants were characterized by elevated broad-band gamma-band activity at rest which correlated with increased glutamate levels. Together, these findings highlight the potential of MEG-based biomarkers for the early diagnosis of ScZ in at-risk populations. [mehr]

Rasmus Bruckner | Adaptive learning under uncertainty: Computational mechanisms and lifespan differences

Gastvortrag
Learning often takes place in environments, in which it is impossible to exactly know current and future outcomes. To successfully behave in such uncertain environments, humans have to learn appropriate beliefs from past experiences that can be used to predict desirable and undesirable outcomes. Drawing on optimal inference models and behavioural learning tasks, I will illustrate how learning under uncertainty should be regulated from a normative perspective and how learning deficits may emerge from deviations from these computations. I will show how human participants learn in the face of perceptual uncertainty and to which extent the ability to adjust learning in dynamically changing environments differs between age groups across the lifespan. Moreover, I will explore the possibility that the intricate computations to optimally adjust learning may often be simplified by resorting to heuristic strategies that are guided by previous choices. Finally, I will discuss some future directions that follow from these results. [mehr]

Prof. Margaret A. Sheridan | Deprivation and threat, testing conceptual model of adversity exposure and developmental outcomes

Gastvortrag
Exposure to childhood adversity is common and associated with a host of negative developmental outcomes as well as differences in neural structure and function. It is commonly posited that these social experiences “get under the skin” in early childhood, increasing long-term risk through disruptions to biology. In this talk I propose a novel approach to studying the link between adversity, brain development, and risk for psychopathology, the dimensional model of adversity and psychopathology (DMAP). In this model we propose that adversity exposure can be defined according to different dimensions which we expect to impact health and well-being through different neural substrates. Whereas we expect deprivation to primarily disrupt function and structure of lateral association cortex (e.g., dorsolateral prefrontal cortex and superior parietal cortex) and thus complex cognitive processing such as executive functioning. In contrast, we expect threat to alter structure and function of subcortical structures such as the hippocampus and amygdala and midline regions associated with emotion regulation such as the ventral medial prefrontal cortex and thus, associated emotion reactivity and automatic regulation processes. In a series of studies I test the basic tenants of the DMAP concluding that initial evidence, using both a priori hypothesis testing and data-driven approaches is consistent with the proposed model. I conclude by describing future work addressing multiple dimensions of adversity and potential adjustments to the model. [mehr]

Prof. Ingolf Sack, Helge Herthum, Dr. Stefan Hetzer | Magnetic resonance elastography of the brain

Gastvortrag

Dr H.G.E. (Hil) Meijer | On activation functions and spatio-temporal patterns in neural fields

Gastvortrag

Dr Erhan Genc | Breaking new ground in neuroscientific intelligence research: General knowledge and genetic correlates

Gastvortrag

Prof. Ulrike Krämer | Impact of the stress system on eating behavior

Gastvortrag

Dr Andreas Horn | Connectomic Brain Stimulation

Gastvortrag

Prof. Dirk Bernhardt-Walther | Cross-modal perception of real-world scenes

Gastvortrag

Nicolas Boulant | Towards parallel transmission in routine with universal pulses

Gastvortrag

Dr Jaan Aru | Neurobiological foundations of conscious processing

Gastvortrag

End-of-Year Symposium

Leipzig Lectures on Language

Open Science Initiative | Open Science Initiative info event

Event Open Science Initiative
We — the Open Science Initiative at MPI CBS — are happy to invite you to an info event on Thursday, June 16, 12:00—13:00 CET, in Room A400 (Wilhelm Wundt-Raum). With this event, we would like to give you an overview of our initiative and key topics of Open Science more broadly. This event is for everyone who: - Cares deeply about the rigor and transparency of our scientific workflows - Would like to get started implementing Open Science practices in their own research - Wants to connect with like-minded people to make our research even more trustworthy and collaborative We will start the meeting with a short presentation about our initiative, followed by time for questions from the audience and a small get-together where we can further talk about Open Science and other topics on a one-to-one basis (incl. snacks and drinks). The event is open to researchers from all career stages and does not require registration. We are very much looking forward to seeing you there! [mehr]

Dr. Bevil Conway | Principles of Neuroscience in color

Gastvortrag
Principles of neuroscience, notably as they relate to vision, invoke concepts of building blocks, opponency, representation, and agency (active vision). He will argue that these ideas have been productively developed using color as a model system, with roots in the earliest western theories of psychology dating to the ancient Greeks. In his talk, he will describe data from neurophysiology, functional brain imaging (fMRI and MEG), and psychophysics that aim to test the principles of neuroscience and to place them in a holistic framework of our broad goal to understand brain and behavior [mehr]

Dr Nicole Seiberlich | Magnetic Resonance Fingerprinting: Challenges and Opportunities

Gastvortrag
Magnetic Resonance Fingerprinting (MRF) was introduced in 2013 as an approach for mapping multiple tissue properties simultaneously using MRI. This presentation will provide an overview of the MRF technique, with an emphasis on practical aspects of implementation, and describe how tissue property maps derived from MRF may be leveraged to provide additional information about structure and function in the brain and beyond. [mehr]

Dr Tobias Sommer | The assimilation of novel information into schemata and its efficient consolidation

Gastvortrag

Dr Boris Bernhardt | New tools and resources for multiscale human neuroscience

Gastvortrag
My talk will overview new tools and resources to study the human brain across multiple space scales, and how these approaches can help to (i) understand the spatial layout of brain networks, (ii) associations between brain structure and function, (iii) as well as shifts in spatial patterns in both typical and atypical brain development. [mehr]

Prof. Matthew Larkum | Dendritic Integration Theory - Why anesthesia blocks consciousness

Kognitive-Neurologie-Vortrag

Dr. Julia Moser | Precision Functional Brain Imaging in Infants

Gastvortrag

Professor Jörn Diedrichsen | What is the function of the human cerebellum across cognitive domains?

Gastvortrag

Prof. Dr. Magdalena Sauvage | Towards a Functional Architecture of Memory

Gastvortrag
Abstract: Multi-echo gradient-echo (GRE) sequences are commonly used for anatomical imaging of the spinal cord because they provide excellent contrast between grey matter (GM), white matter (WM), and cerebrospinal fluid (CSF). One of their main limitations is the sensitivity to voluntary and involuntary motion, leading to ghosting artifacts and lower image quality even in compliant subjects. Time-varying B0 fields related to the breathing cycle contribute substantially to the artifact load in the spinal cord. Navigator readouts can be used to measure the intensity of the B0 fluctuations, allowing to demodulate the acquired signal before the image reconstruction. However, the standard navigator processing approach, developed for brain imaging, often fails in the spine, which can even exacerbate the artifacts. Therefore, there is a need for navigator processing specifically tailored to spinal cord imaging. In this study, we explore the effect of optimized processing pipelines for navigator-based correction on the image quality of a multi-echo GRE sequence acquired in the spinal cord at 3T. [mehr]

Dr Robin Gerrits | Variability of brain hemispheric specialization: One side does not fit all

Gastvortrag
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