DEPARTMENT OF PSYCHIATRY UND PSYCHOTHERAPY

Curriculum vitae PD Dr. rer. Nat Stefan Dürschmid

 

Ausbildung und berufliche Tätigkeiten

2023-2024

Visiting scholarship at Knightlab at UC Berkeley, USA (head Robert T. Knight)

2022

Venia legendi for Psychology at the Faculty of Natural Sciences of the OvGU Magdeburg (Habilitation)

since 2015

Head of work group “Sensory Learning and Prediction” at LIN Magdeburg

2013-2014

Visiting scholarship at Knightlab at UC Berkeley, USA (head Robert T. Knight)

since 2013

Postdoctoral scientist in the Department of Behavioral Neurology Magdeburg

2010-2013

PhD student at the Leibniz Institute for Neurobiology in Magdeburg

2009-2010

Research project on social impact on visual perception  (supervisor  Prof. Dr. Christoph Herrmann)

 

Promotion

2010-2013

Doctoral thesis on
“Cross Frequency Coupling in Motor Automization and Execution in the Human Motor system”
(supervisor Prof. Dr. Hermann Hinrichs)

 

Studium

2007-2008

Diploma thesis on the Neuronal Correlates of Localization and Identification of Visual Changes (supervisors Dr. Niko Busch and Prof. Dr. Christoph Herrmann)

2005-2009

Study of Psychology at the Otto-von-Guericke University Magdeburg

2005

Diploma (Dipl. Pädagoge)

2001-2005

Study of Educational sciences at the University of Applied Sciences in Magdeburg

 

Research Focus and Major Findings

 

  • Physical activity leads to a brain state optimal for visual perception and working memory:
    Our research demonstrates that physical activity modulates broadband high-frequency activity (BHA), measurable with MEG, which reflects early brain state changes, particularly in the visual cortex. Physical activity improves visual performance by enhancing attention and clarity, while also boosting working memory. This study highlights how physical activity optimizes neural interactions, enhancing both perceptual and cognitive functions in humans.

 

  • How brain state changes alter information integration: Mind Wandering is assumed to impair our daily activity due to fluctuations of attention to episodic content. In contrast to current theories, I showed that spatial attention is upregulated to compensate mental distractions. This is an important step to gain insights into pathological forms of Mind-Wandering like ruminations in patients suffering from Depression. Cognitive Training like mindfulness-meditation is assumed to counteract dynamics of mind-wandering. I found that this might be achieved by tuning brain dynamics to a critical point of optimal information processing during meditation. The broad experience with application of Decoding algorithms allowed us deciphering single trial indicators of attentional shifts and their translation into reliable Brain Computer Interface control signals.

 

  • How Self-awareness reduces impulsivity: Impulsive decisions arise from preferring smaller but sooner rewards compared to larger but later rewards. A major finding in my research is that choice options are represented on a single unit level in the brain. Furthermore, I revealed how neural representation of and attention to choice alternatives contribute to reward decisions during temporal discounting. This knowledge helps to understand critical mechanisms of impulsivity which are altered in patients with eating disorders.

 

  • Neural representations of predictions: Humans are very good at remembering and implicitly inferring a likelihood distribution of environmental events. Challenging current theories of Predictive Coding, I found in direct intracranial recordings of humans distinct but interacting cortical networks for stimulus response and response suppression. Most importantly, I showed how frontal cortex high frequency activity heralds ensuing stimuli.

 

 Publications

 

Publications on Brain State Changes following Physical Activity

Che, X., Auer, B., Schmid, P., Reichert, C., Scholz, A., Weischner, T., Knight, R. T., & Dürschmid, S. (2024). Physical Exercise Improves Working Memory through Ripple-Spindle Coupling. BioRxiv.

Weischner, T., Che, X., Schmid, P., Reichert, C., Scholz, A., Knight, R. T., & Dürschmid, S. (2024). Physical activity modulates early visual response and improves target detection in humans. Biorxiv. https://doi.org/10.1101/2024.07.10.602924

 

Publications on Predictive Coding

Dürschmid S, Reichert C, Hinrichs H, Heinze HJ, Kirsch HE, Knight RT, Deouell LY.  Direct evidence for prediction signals in frontal cortex independent of prediction error. Cereb Cortex. 2019. https://doi.org/10.1093/cercor/bhy331

Dürschmid S, Edwards E, Reichert C, Dewar C, Hinrichs H, Heinze HJ, Kirsch HE,Dalal SS, Deouell LY, Knight RT. Hierarchy of prediction errors for auditory events in human temporal and frontal cortex. Proc Natl Acad Sci U S A. 2016  https://doi.org/10.1073/pnas.1525030113

Dürschmid S, Zaehle T, Hinrichs H, Heinze HJ, Voges J, Garrido MI, Dolan RJ, Knight RT. Sensory Deviancy Detection Measured Directly Within the Human Nucleus Accumbens. Cereb Cortex. 2016 https://doi.org/10.1093/cercor/bhu304

 

Publications on Brain State Changes during Self-Referential Cognition

Wienke C, Bartsch M V., Vogelgesang L, Reichert C, Hinrichs H, Heinze H-J, Dürschmid S. Local sleep during mind-wandering enhances processes of spatial attention allocation. Cerebral Cortex Communications, 2021. https://doi.org/10.1093/texcom/tgab001

Dürschmid S, Maric A, Kehl MS, Robert T Knight RT, Hinrichs H, Heinze HJ. Fronto-temporal cortex regulation of subjective valence to suppress impulsivity in intertemporal choices. Journal of Neuroscience, 2021. https://www.jneurosci.org/content/41/8/1727

 

Publications on Brain State Changes during Learning

Eckert D, Reichert C, Bien CG, Heinze HJ, Knight RT, Deouell LY, Dürschmid S. Distinct interacting cortical networks for stimulus-response and repetition-suppression. Commun Biol. 2022 https://doi.org/10.1038/s42003-022-03861-4.

 

Publications on Brain Machine Interfaces

Reichert C, Tellez Ceja IF, Sweeney-Reed CM, Heinze HJ, Hinrichs H, Dürschmid S.  Impact of stimulus features on the performance of a gaze-independent brain-computer interface based on covert spatial attention shifts. Frontiers in Neuroscience, 2020. https://doi.org/10.3389/fnins.2020.591777

Reichert C, Dürschmid S, Bartsch M, Hopf JM, Heinze H-J, Hinrichs H. Decoding the covert shift of spatial attention from electroencephalographic signals permits reliable control of a brain-computer interface. Journal of Neural Engineering, 2020. https://doi.org/10.1088/1741-2552/abb692

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