Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research

Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying th...
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Autor*in:	Tomoaki Ishibashi [verfasserIn] Sou Nobukawa [verfasserIn] Mayuna Tobe [verfasserIn] Mitsuru Kikuchi [verfasserIn] Tetsuya Takahashi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	antipsychotic medication betweenness centrality electroencephalography graph theory schizophrenia

Übergeordnetes Werk:	In: PCN Reports - Wiley, 2022, 3(2024), 1, Seite n/a-n/a
Übergeordnetes Werk:	volume:3 ; year:2024 ; number:1 ; pages:n/a-n/a

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1002/pcn5.164

Katalog-ID:	DOAJ091411645

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520			\|a Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high‐frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole‐brain networks of patients with SZ.
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allfields	10.1002/pcn5.164 doi (DE-627)DOAJ091411645 (DE-599)DOAJ32a067cca8da484584cc1ff81910dc9d DE-627 ger DE-627 rakwb eng RC435-571 Tomoaki Ishibashi verfasserin aut Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high‐frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole‐brain networks of patients with SZ. antipsychotic medication betweenness centrality electroencephalography graph theory schizophrenia Psychiatry Sou Nobukawa verfasserin aut Mayuna Tobe verfasserin aut Mitsuru Kikuchi verfasserin aut Tetsuya Takahashi verfasserin aut In PCN Reports Wiley, 2022 3(2024), 1, Seite n/a-n/a (DE-627)1801283001 (DE-600)3118589-7 27692558 nnns volume:3 year:2024 number:1 pages:n/a-n/a https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/article/32a067cca8da484584cc1ff81910dc9d kostenfrei https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/toc/2769-2558 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2024 1 n/a-n/a
spelling	10.1002/pcn5.164 doi (DE-627)DOAJ091411645 (DE-599)DOAJ32a067cca8da484584cc1ff81910dc9d DE-627 ger DE-627 rakwb eng RC435-571 Tomoaki Ishibashi verfasserin aut Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high‐frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole‐brain networks of patients with SZ. antipsychotic medication betweenness centrality electroencephalography graph theory schizophrenia Psychiatry Sou Nobukawa verfasserin aut Mayuna Tobe verfasserin aut Mitsuru Kikuchi verfasserin aut Tetsuya Takahashi verfasserin aut In PCN Reports Wiley, 2022 3(2024), 1, Seite n/a-n/a (DE-627)1801283001 (DE-600)3118589-7 27692558 nnns volume:3 year:2024 number:1 pages:n/a-n/a https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/article/32a067cca8da484584cc1ff81910dc9d kostenfrei https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/toc/2769-2558 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2024 1 n/a-n/a
allfields_unstemmed	10.1002/pcn5.164 doi (DE-627)DOAJ091411645 (DE-599)DOAJ32a067cca8da484584cc1ff81910dc9d DE-627 ger DE-627 rakwb eng RC435-571 Tomoaki Ishibashi verfasserin aut Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high‐frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole‐brain networks of patients with SZ. antipsychotic medication betweenness centrality electroencephalography graph theory schizophrenia Psychiatry Sou Nobukawa verfasserin aut Mayuna Tobe verfasserin aut Mitsuru Kikuchi verfasserin aut Tetsuya Takahashi verfasserin aut In PCN Reports Wiley, 2022 3(2024), 1, Seite n/a-n/a (DE-627)1801283001 (DE-600)3118589-7 27692558 nnns volume:3 year:2024 number:1 pages:n/a-n/a https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/article/32a067cca8da484584cc1ff81910dc9d kostenfrei https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/toc/2769-2558 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2024 1 n/a-n/a
allfieldsGer	10.1002/pcn5.164 doi (DE-627)DOAJ091411645 (DE-599)DOAJ32a067cca8da484584cc1ff81910dc9d DE-627 ger DE-627 rakwb eng RC435-571 Tomoaki Ishibashi verfasserin aut Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high‐frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole‐brain networks of patients with SZ. antipsychotic medication betweenness centrality electroencephalography graph theory schizophrenia Psychiatry Sou Nobukawa verfasserin aut Mayuna Tobe verfasserin aut Mitsuru Kikuchi verfasserin aut Tetsuya Takahashi verfasserin aut In PCN Reports Wiley, 2022 3(2024), 1, Seite n/a-n/a (DE-627)1801283001 (DE-600)3118589-7 27692558 nnns volume:3 year:2024 number:1 pages:n/a-n/a https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/article/32a067cca8da484584cc1ff81910dc9d kostenfrei https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/toc/2769-2558 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2024 1 n/a-n/a
allfieldsSound	10.1002/pcn5.164 doi (DE-627)DOAJ091411645 (DE-599)DOAJ32a067cca8da484584cc1ff81910dc9d DE-627 ger DE-627 rakwb eng RC435-571 Tomoaki Ishibashi verfasserin aut Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high‐frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole‐brain networks of patients with SZ. antipsychotic medication betweenness centrality electroencephalography graph theory schizophrenia Psychiatry Sou Nobukawa verfasserin aut Mayuna Tobe verfasserin aut Mitsuru Kikuchi verfasserin aut Tetsuya Takahashi verfasserin aut In PCN Reports Wiley, 2022 3(2024), 1, Seite n/a-n/a (DE-627)1801283001 (DE-600)3118589-7 27692558 nnns volume:3 year:2024 number:1 pages:n/a-n/a https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/article/32a067cca8da484584cc1ff81910dc9d kostenfrei https://doi.org/10.1002/pcn5.164 kostenfrei https://doaj.org/toc/2769-2558 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2024 1 n/a-n/a
language	English
source	In PCN Reports 3(2024), 1, Seite n/a-n/a volume:3 year:2024 number:1 pages:n/a-n/a
sourceStr	In PCN Reports 3(2024), 1, Seite n/a-n/a volume:3 year:2024 number:1 pages:n/a-n/a
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	antipsychotic medication betweenness centrality electroencephalography graph theory schizophrenia Psychiatry
isfreeaccess_bool	true
container_title	PCN Reports
authorswithroles_txt_mv	Tomoaki Ishibashi @@aut@@ Sou Nobukawa @@aut@@ Mayuna Tobe @@aut@@ Mitsuru Kikuchi @@aut@@ Tetsuya Takahashi @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	1801283001
id	DOAJ091411645
language_de	englisch
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callnumber-first	R - Medicine
author	Tomoaki Ishibashi
spellingShingle	Tomoaki Ishibashi misc RC435-571 misc antipsychotic medication misc betweenness centrality misc electroencephalography misc graph theory misc schizophrenia misc Psychiatry Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research
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topic_title	RC435-571 Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research antipsychotic medication betweenness centrality electroencephalography graph theory schizophrenia
topic	misc RC435-571 misc antipsychotic medication misc betweenness centrality misc electroencephalography misc graph theory misc schizophrenia misc Psychiatry
topic_unstemmed	misc RC435-571 misc antipsychotic medication misc betweenness centrality misc electroencephalography misc graph theory misc schizophrenia misc Psychiatry
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title	Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research
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title_full	Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research
author_sort	Tomoaki Ishibashi
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author_browse	Tomoaki Ishibashi Sou Nobukawa Mayuna Tobe Mitsuru Kikuchi Tetsuya Takahashi
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title_sort	alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: insights from electroencephalography‐based research
callnumber	RC435-571
title_auth	Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research
abstract	Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high‐frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole‐brain networks of patients with SZ.
abstractGer	Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high‐frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole‐brain networks of patients with SZ.
abstract_unstemmed	Abstract Aim This study aimed to identify atypical hubs in the whole‐brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion The abnormal hub topology we observed, especially in the high‐frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole‐brain networks of patients with SZ.
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title_short	Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research
url	https://doi.org/10.1002/pcn5.164 https://doaj.org/article/32a067cca8da484584cc1ff81910dc9d https://doaj.org/toc/2769-2558
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doi_str	10.1002/pcn5.164
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up_date	2024-07-03T20:14:42.048Z
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Methods We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug‐naïve patients with SZ and 31 age‐matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re‐evaluated after initiating treatment with antipsychotic medications. Results BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. 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Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research

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