Das Bild zeigt eine Ärztin am Schreibtisch, die einem Patienten ein Röntgenbild erklärt.

Cognitive Neurophysiology Lab

Sie befinden sich hier:

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).

Selected publications

Neuhaus AH, Popescu FC. Sample size, model robustness, and classification accuracy in diagnostic multivariate neuroimaging analyses. Biol Psychiatry 2018; doi: 10.1016/j.biopsych.2017.09.032.
Neuhaus AH, Popescu FC. Impact of sample size and matching on single-subject classification of schizophrenia: A meta-analysis. Schizophr Res 2018; 192: 479-480.
Neuhaus AH. Importance of control biotypes to distinguish psychosis biotypes. Am J Psychiatry 2016; 173: 838.
Neuhaus AH, Popescu FC, Rentzsch J, Gallinat J. Critical evaluation of auditory event-related potential deficits in schizophrenia: evidence from large-scale single-subject pattern classification. Schizophr Bull 2014; 40: 1062-1071.
Shen C, Popescu FC, Hahn E, Ta TT, Dettling M, Neuhaus AH. Neurocognitive pattern analysis reveals classificatory hierarchy of attention deficits in schizophrenia. Schizophr Bull 2014; 40: 878-885.

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.

Selected publications

Vogel BO, Stasch J, Walter H, Neuhaus AH. Emotional context restores cortical prediction error responses in schizophrenia. Schizophr Res 2018; doi: 10.1016/j.schres/2018.02.030.
Vogel BO, Shen C, Neuhaus AH. Emotional context facilitates cortical prediction error responses. Hum Brain Mapp 2015; 36: 3641-3652.
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.
Neuhaus AH, Brandt ESL, Goldberg TE, Bates JA, Malhotra AK. Evidence for impaired visual prediction error in schizophrenia. Schizophr Res 2013; 147: 326-330.

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).

Selected publications

Stasch J, Mohr B*, Neuhaus AH*. Disentangling the interaction of sex differences and hemispheric specialization for face processing - evidence from ERPs. Biol Psychol 2018; doi: 10.1016/j.biopsycho.2018.06.003.
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.
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.
Möhring N, Shen C, Neuhaus AH. Spatiotemporal dynamics of early cortical gesture processing. Neuroimage 2014; 99: 42-49.