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

Gespeichert in:

Autor*in:	Adams, Rick [verfasserIn] Pinotsis, Dimitris [verfasserIn] Tsirlis, Konstantinos [verfasserIn] Ji, Jie Lisa [verfasserIn] Repovs, Grega [verfasserIn] Murray, John [verfasserIn] Friston, Karl [verfasserIn] Hong, Elliot [verfasserIn] Anticevic, Alan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Übergeordnetes Werk:	Enthalten in: Biological psychiatry - Amsterdam [u.a.] : Elsevier Science, 1985, 89, Seite S95
Übergeordnetes Werk:	volume:89 ; pages:S95

DOI / URN:	10.1016/j.biopsych.2021.02.249

Katalog-ID:	ELV005898242

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topic_title	570 610 DE-600 LING DE-30 fid 42.00 bkl 44.91 bkl Computational Modelling of EEG and fMRI Paradigms Reveals a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia
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title	Computational Modelling of EEG and fMRI Paradigms Reveals a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia
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title_full	Computational Modelling of EEG and fMRI Paradigms Reveals a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia
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title_sort	computational modelling of eeg and fmri paradigms reveals a consistent loss of pyramidal cell synaptic gain in schizophrenia
title_auth	Computational Modelling of EEG and fMRI Paradigms Reveals a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia
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title_short	Computational Modelling of EEG and fMRI Paradigms Reveals a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia
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up_date	2024-07-06T19:32:32.164Z
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Computational Modelling of EEG and fMRI Paradigms Reveals a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia

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