Altered parahippocampal gyrus activation and its connectivity with resting-state network areas in schizophrenia : An EEG study
Copyright © 2020 Elsevier B.V. All rights reserved..
Synchronized and coherent activity in resting-networks during normal brain functioning could be altered in disconnection syndrome like schizophrenia. Study of neural oscillations as assessed by EEG appears to be a promising proposition to understand the pathophysiology of schizophrenia in patients and their first-degree relatives, where disturbances in neural oscillations point towards genetic predisposition. Therefore, present study aims at establishing EEG based biomarkers for early detection and management strategies. Thirty-two patients with schizophrenia, 28 first-degree relatives and 31 healthy controls (HC) participated in the study. Resting brain activity was recorded using 128-channel electroencephalography. After pre-processing and independent component analysis (ICA), an equivalent current dipole was estimated for each IC. Total of 1551 independent and localizable EEG components across all groups were used in subsequent analysis. Power spectral density and source coherence between IC clusters were computed. Patients and first-degree relatives displayed significantly higher power spectral density (PSD) than HC for all frequency bands in left parahippocampal gyrus (PHG) (-7, -26, 8; BA 27). Another region within left deep PHG (-4, -28, 1), however, distinguished patients from first-degree relatives and HC in terms of significantly lower PSD in higher frequency bands. Functional connectivity (FC) was found to be lower in patients and higher in relatives compared to HC between different resting-state network areas. In patients, connectivity was lower compared to first-degree relatives. Altered activity within left PHG and FC of primarily this with other areas in resting-state network can serve as state and trait markers of schizophrenia.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:222 |
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| Enthalten in: |
Schizophrenia research - 222(2020) vom: 15. Aug., Seite 411-422 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Soni, Sunaina [VerfasserIn] |
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| Links: |
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| Themen: |
Default mode network |
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| Anmerkungen: |
Date Completed 17.06.2021 Date Revised 17.06.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.schres.2020.03.066 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM311139604 |
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| 245 | 1 | 0 | |a Altered parahippocampal gyrus activation and its connectivity with resting-state network areas in schizophrenia |b An EEG study |
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| 500 | |a Date Revised 17.06.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020 Elsevier B.V. All rights reserved. | ||
| 520 | |a Synchronized and coherent activity in resting-networks during normal brain functioning could be altered in disconnection syndrome like schizophrenia. Study of neural oscillations as assessed by EEG appears to be a promising proposition to understand the pathophysiology of schizophrenia in patients and their first-degree relatives, where disturbances in neural oscillations point towards genetic predisposition. Therefore, present study aims at establishing EEG based biomarkers for early detection and management strategies. Thirty-two patients with schizophrenia, 28 first-degree relatives and 31 healthy controls (HC) participated in the study. Resting brain activity was recorded using 128-channel electroencephalography. After pre-processing and independent component analysis (ICA), an equivalent current dipole was estimated for each IC. Total of 1551 independent and localizable EEG components across all groups were used in subsequent analysis. Power spectral density and source coherence between IC clusters were computed. Patients and first-degree relatives displayed significantly higher power spectral density (PSD) than HC for all frequency bands in left parahippocampal gyrus (PHG) (-7, -26, 8; BA 27). Another region within left deep PHG (-4, -28, 1), however, distinguished patients from first-degree relatives and HC in terms of significantly lower PSD in higher frequency bands. Functional connectivity (FC) was found to be lower in patients and higher in relatives compared to HC between different resting-state network areas. In patients, connectivity was lower compared to first-degree relatives. Altered activity within left PHG and FC of primarily this with other areas in resting-state network can serve as state and trait markers of schizophrenia | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Default mode network | |
| 650 | 4 | |a Endophenotypic marker | |
| 650 | 4 | |a Functional connectivity | |
| 650 | 4 | |a Neural oscillations | |
| 650 | 4 | |a Permutation statistics | |
| 650 | 4 | |a Source analysis | |
| 700 | 1 | |a Muthukrishnan, Suriya Prakash |e verfasserin |4 aut | |
| 700 | 1 | |a Sood, Mamta |e verfasserin |4 aut | |
| 700 | 1 | |a Kaur, Simran |e verfasserin |4 aut | |
| 700 | 1 | |a Sharma, Ratna |e verfasserin |4 aut | |
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