Cognitive Neurophysiology Lab
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Cognitive Neurophysiology Lab
Our research aims at central information processing in schizophrenia and other psychoses. We are interested in neuronal mechanisms such as repetition suppression or prediction error signaling and their utilization in social cognition paradigms. Behavioral data and cortical signatures obtained in these and other studies are examined with multivariate pattern recognition to eventually differentiate psychoses from normal states on a single-subject level.
Diagnostic classification of schizophrenia
We depart from the notion that current diagnostic criteria for schizophrenia are based on psychopathological descriptions dating back to the mid-20th century; laboratory markers are missing. We approach this issue by employing machine learning algorithms for diagnostic single-subject classification using well-established, schizophrenia-sensitive neurophysiological and neuropsychological parameters in collaboration with Dr. Florin Popescu (Fraunhofer Institute for Open Communication Systems, Berlin).
Cortical prediction error signals
Predictive coding refers to a hierarchically organized basic cognitive model, where mismatches resulting from comparisons of fed-forward sensory data with top-down signals elicit cortical prediction errors that are then used for model adjustment. Current biocomputational models of cognition in schizophrenia increasingly incorporate cortical and subcortical prediction error deficits to explain a wide range of symptoms including delusions, hallucinations, or passivity experiences.
|Vogel BO, Stasch J, Walter H, Neuhaus AH. Emotional context restores cortical prediction error responses in schizophrenia. Schizophr Res 2018; 197: 434-440. Original article.|
|Vogel BO, Shen C, Neuhaus AH. Emotional context facilitates cortical prediction error responses. Hum Brain Mapp 2015; 36: 3641-3652. Original article.|
|Rentzsch J, Shen C, Jockers-Scherübl M, Gallinat J, Neuhaus AH. Auditory mismatch negativity and repetition suppression deficits in schizophrenia explained by irregular computation of prediction error. PLoS One 2015; 10: e0126775. Original article.|
|Neuhaus AH, Brandt ESL, Goldberg TE, Bates JA, Malhotra AK. Evidence for impaired visual prediction error in schizophrenia. Schizophr Res 2013; 147: 326-330. Original article.|
Social and motor cognition
Important aspects of social interactions include sending and responding to verbal and non-verbal signals. The face processing and the mirror neuron systems offer distinct routes for studying social cognition via sensory and motor cognition pathways by using, e.g., within-modality repetition suppression and cross-modal adaptation, respectively. We seek to explore imitative and contextual motor cognition domains in schizophrenia in a collaboration project with Dr. Roman Liepelt (Department of Psychology, University Münster) and Dr. Christiane Montag (Department of Psychiatry, Charité Berlin).
|Stasch J, Mohr B*, Neuhaus AH*. Disentangling the interaction of sex differences and hemispheric specialization for face processing - evidence from ERPs. Biol Psychol 2018; 136: 144-150. Original article.|
|Shen C, Stasch J, Velenosi L, Madipakkam AR, Edemann-Callesen H, Neuhaus AH. Face identity is encoded in the duration of N170 adaptation. Cortex 2017; 86: 55-63. Original article.|
|Möhring N, Shen C, Hahn E, Ta TMT, Dettling M, Neuhaus AH. Mirror neuron deficit in schizophrenia: evidence from repetition suppression. Schizophr Res 2015; 168: 174-179. Original article.|
|Möhring N, Shen C, Neuhaus AH. Spatiotemporal dynamics of early cortical gesture processing. Neuroimage 2014; 99: 42-49. Original article.|