Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia-Reference-Cited by-同舟云学术

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

Published:2022-01 Issue:2 Volume:91 Page:202-215
ISSN:0006-3223
Container-title:Biological Psychiatry
language:en
Short-container-title:Biological Psychiatry

Author:

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

Funder

Academy of Medical Sciences

University College London

National Institutes of Health

Javna Agencija za Raziskovalno Dejavnost RS

Wellcome Trust

UCLH Biomedical Research Centre

National Institute for Health Research

Medical Research Council

Publisher

Elsevier BV

Subject

Biological Psychiatry

Reference59 articles.

1. Impaired tuning of neural ensembles and the pathophysiology of schizophrenia: A translational and computational neuroscience perspective;Krystal;Biol Psychiatry,2017

2. Dysconnection in schizophrenia: From abnormal synaptic plasticity to failures of self-monitoring;Stephan;Schizophr Bull,2009

3. Cortical inhibitory neurons and schizophrenia;Lewis;Nat Rev Neurosci,2005

4. Pathological basis for deficient excitatory drive to cortical parvalbumin interneurons in schizophrenia;Chung;Am J Psychiatry,2016

5. Alterations in cortical interneurons and cognitive function in schizophrenia;Dienel;Neurobiol Dis,2019

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