Computational Modelling of EEG and fMRI Paradigms Reveals a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia

Rick A. Adams; Dimitris A. Pinotsis; Konstantinos Tsirlis; Jie Lisa Ji; Grega Repovš; John D. Murray; Karl Friston; Elliot Hong; Alan Anticevic

doi:10.1016/j.biopsych.2021.02.249

Preprint2021

Computational modelling of EEG and fMRI paradigms reveals a consistent loss of pyramidal cell synaptic gain in schizophrenia

Rick A. Adams, Dimitris A. Pinotsis, Konstantinos Tsirlis, Leonhardt Unruh, Aashna Mahajan, Ana Montero Horas, Laura Convertino, Ann Summerfelt, Hemalatha Sampath, Xiaoming Du, Peter Kochunov, Jie Lisa Ji, Grega Repovš, John D. Murray, Karl Friston, L. Elliot Hong, Alan Anticevic

Article2021

Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia

Rick A. Adams, Dimitris A. Pinotsis, Konstantinos Tsirlis, Leonhardt Unruh, Aashna Mahajan, Ana Montero Horas, Laura Convertino, Ann Summerfelt, Hemalatha Sampath, Xiaoming Du, Peter Kochunov, Jie Lisa Ji, Grega Repovš, John D. Murray, Karl Friston, L. Elliot Hong, Alan Anticevic

Article2012

Dynamic causal modelling of precision and synaptic gain in visual perception — an EEG study

Harriet R. Brown, Karl Friston

Preprint2025

Excitation/inhibition imbalance and conversion to psychosis in the clinical high risk syndrome: Biophysical modeling finds reduced pyramidal cell excitability across EEG paradigms

Julia Rodriguez-Sanchez, Daniel J. Hauke, Dimitris A. Pinotsis, Lioba C S Berndt, Hope Oloye, Spero Nicholas, Holly Hamilton, Brian J. Roach, Peter Bachman, Ayşenil Belger, Ricardo E. Carrión, Erica Duncan, Jason Johannesen, Gregory A. Light, Margaret Niznikiewicz, Karl Friston, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Diana O. Perkins, Elaine F. Walker,

Chapter in a book2009

Collaborative and Experience-Consistent Schemes of System Modelling in Computational Intelligence

Witold Pedrycz

Computational Modelling of EEG and fMRI Paradigms Reveals a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia

Discussion(0)

Related publications

Computational modelling of EEG and fMRI paradigms reveals a consistent loss of pyramidal cell synaptic gain in schizophrenia

Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia

Dynamic causal modelling of precision and synaptic gain in visual perception — an EEG study

Excitation/inhibition imbalance and conversion to psychosis in the clinical high risk syndrome: Biophysical modeling finds reduced pyramidal cell excitability across EEG paradigms

Collaborative and Experience-Consistent Schemes of System Modelling in Computational Intelligence