TY - JOUR A1 - Grent-'t-Jong, Tineke A1 - Groß, Joachim A1 - Goense, Jozien A1 - Wibral, Michael A1 - Gajwani, Ruchika A1 - Gumley, Andrew I. A1 - Lawrie, Stephen M. A1 - Schwannauer, Matthias A1 - Schultze-Lutter, Frauke A1 - Schröder, Tobias Navarro A1 - Köthe, Dagmar A1 - Leweke, F. Markus A1 - Singer, Wolf A1 - Uhlhaas, Peter J. T1 - Resting-state gamma-band power alterations in schizophrenia reveal E/I-balance abnormalities across illness-stages T2 - eLife N2 - We examined alterations in E/I-balance in schizophrenia (ScZ) through measurements of resting-state gamma-band activity in participants meeting clinical high-risk (CHR) criteria (n = 88), 21 first episode (FEP) patients and 34 chronic ScZ-patients. Furthermore, MRS-data were obtained in CHR-participants and matched controls. Magnetoencephalographic (MEG) resting-state activity was examined at source level and MEG-data were correlated with neuropsychological scores and clinical symptoms. CHR-participants were characterized by increased 64–90 Hz power. In contrast, FEP- and ScZ-patients showed aberrant spectral power at both low- and high gamma-band frequencies. MRS-data showed a shift in E/I-balance toward increased excitation in CHR-participants, which correlated with increased occipital gamma-band power. Finally, neuropsychological deficits and clinical symptoms in FEP and ScZ-patients were correlated with reduced gamma band-activity, while elevated psychotic symptoms in the CHR group showed the opposite relationship. The current study suggests that resting-state gamma-band power and altered Glx/GABA ratio indicate changes in E/I-balance parameters across illness stages in ScZ. KW - Research Article KW - Neuroscience KW - Schizophrenia KW - E/I-Balance KW - Gamma-Band Activity KW - human Y1 - 2018 UR - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/47691 UR - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-476915 SN - 2050-084X N1 - Copyright Grent-’t-Jong et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited. VL - 7 IS - e37799 SP - 1 EP - 19 PB - eLife Sciences Publications CY - Cambridge ER -