Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression

Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mea...
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Autor*in:	Huang, Shiau-Shian [verfasserIn] Yu, Yu-Hsiang Chen, His-Han Hung, Chia-Chun Wang, Yao-Ting Chang, Chieh Hsin Peng, Syu-Jyun Kuo, Po-Hsiu

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Major depression Electroencephalography Functional connectivity Antidepressants Treatment response

Anmerkung:	© The Author(s) 2023

Übergeordnetes Werk:	Enthalten in: BMC psychiatry - London : BioMed Central, 2001, 23(2023), 1 vom: 01. Aug.
Übergeordnetes Werk:	volume:23 ; year:2023 ; number:1 ; day:01 ; month:08

Links:	Volltext

DOI / URN:	10.1186/s12888-023-04958-8

Katalog-ID:	SPR052609537

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245	1	0	\|a Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression
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520			\|a Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). Results We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. Conclusions The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG.
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allfields	10.1186/s12888-023-04958-8 doi (DE-627)SPR052609537 (SPR)s12888-023-04958-8-e DE-627 ger DE-627 rakwb eng Huang, Shiau-Shian verfasserin aut Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). Results We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. Conclusions The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. Major depression (dpeaa)DE-He213 Electroencephalography (dpeaa)DE-He213 Functional connectivity (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Treatment response (dpeaa)DE-He213 Yu, Yu-Hsiang aut Chen, His-Han aut Hung, Chia-Chun aut Wang, Yao-Ting aut Chang, Chieh Hsin aut Peng, Syu-Jyun aut Kuo, Po-Hsiu (orcid)0000-0003-0365-3587 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 23(2023), 1 vom: 01. Aug. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:23 year:2023 number:1 day:01 month:08 https://dx.doi.org/10.1186/s12888-023-04958-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 01 08
spelling	10.1186/s12888-023-04958-8 doi (DE-627)SPR052609537 (SPR)s12888-023-04958-8-e DE-627 ger DE-627 rakwb eng Huang, Shiau-Shian verfasserin aut Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). Results We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. Conclusions The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. Major depression (dpeaa)DE-He213 Electroencephalography (dpeaa)DE-He213 Functional connectivity (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Treatment response (dpeaa)DE-He213 Yu, Yu-Hsiang aut Chen, His-Han aut Hung, Chia-Chun aut Wang, Yao-Ting aut Chang, Chieh Hsin aut Peng, Syu-Jyun aut Kuo, Po-Hsiu (orcid)0000-0003-0365-3587 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 23(2023), 1 vom: 01. Aug. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:23 year:2023 number:1 day:01 month:08 https://dx.doi.org/10.1186/s12888-023-04958-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 01 08
allfields_unstemmed	10.1186/s12888-023-04958-8 doi (DE-627)SPR052609537 (SPR)s12888-023-04958-8-e DE-627 ger DE-627 rakwb eng Huang, Shiau-Shian verfasserin aut Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). Results We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. Conclusions The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. Major depression (dpeaa)DE-He213 Electroencephalography (dpeaa)DE-He213 Functional connectivity (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Treatment response (dpeaa)DE-He213 Yu, Yu-Hsiang aut Chen, His-Han aut Hung, Chia-Chun aut Wang, Yao-Ting aut Chang, Chieh Hsin aut Peng, Syu-Jyun aut Kuo, Po-Hsiu (orcid)0000-0003-0365-3587 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 23(2023), 1 vom: 01. Aug. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:23 year:2023 number:1 day:01 month:08 https://dx.doi.org/10.1186/s12888-023-04958-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 01 08
allfieldsGer	10.1186/s12888-023-04958-8 doi (DE-627)SPR052609537 (SPR)s12888-023-04958-8-e DE-627 ger DE-627 rakwb eng Huang, Shiau-Shian verfasserin aut Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). Results We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. Conclusions The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. Major depression (dpeaa)DE-He213 Electroencephalography (dpeaa)DE-He213 Functional connectivity (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Treatment response (dpeaa)DE-He213 Yu, Yu-Hsiang aut Chen, His-Han aut Hung, Chia-Chun aut Wang, Yao-Ting aut Chang, Chieh Hsin aut Peng, Syu-Jyun aut Kuo, Po-Hsiu (orcid)0000-0003-0365-3587 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 23(2023), 1 vom: 01. Aug. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:23 year:2023 number:1 day:01 month:08 https://dx.doi.org/10.1186/s12888-023-04958-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 01 08
allfieldsSound	10.1186/s12888-023-04958-8 doi (DE-627)SPR052609537 (SPR)s12888-023-04958-8-e DE-627 ger DE-627 rakwb eng Huang, Shiau-Shian verfasserin aut Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). Results We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. Conclusions The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. Major depression (dpeaa)DE-He213 Electroencephalography (dpeaa)DE-He213 Functional connectivity (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Treatment response (dpeaa)DE-He213 Yu, Yu-Hsiang aut Chen, His-Han aut Hung, Chia-Chun aut Wang, Yao-Ting aut Chang, Chieh Hsin aut Peng, Syu-Jyun aut Kuo, Po-Hsiu (orcid)0000-0003-0365-3587 aut Enthalten in BMC psychiatry London : BioMed Central, 2001 23(2023), 1 vom: 01. Aug. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:23 year:2023 number:1 day:01 month:08 https://dx.doi.org/10.1186/s12888-023-04958-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 1 01 08
language	English
source	Enthalten in BMC psychiatry 23(2023), 1 vom: 01. Aug. volume:23 year:2023 number:1 day:01 month:08
sourceStr	Enthalten in BMC psychiatry 23(2023), 1 vom: 01. Aug. volume:23 year:2023 number:1 day:01 month:08
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Major depression Electroencephalography Functional connectivity Antidepressants Treatment response
isfreeaccess_bool	true
container_title	BMC psychiatry
authorswithroles_txt_mv	Huang, Shiau-Shian @@aut@@ Yu, Yu-Hsiang @@aut@@ Chen, His-Han @@aut@@ Hung, Chia-Chun @@aut@@ Wang, Yao-Ting @@aut@@ Chang, Chieh Hsin @@aut@@ Peng, Syu-Jyun @@aut@@ Kuo, Po-Hsiu @@aut@@
publishDateDaySort_date	2023-08-01T00:00:00Z
hierarchy_top_id	331018799
id	SPR052609537
language_de	englisch
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author	Huang, Shiau-Shian
spellingShingle	Huang, Shiau-Shian misc Major depression misc Electroencephalography misc Functional connectivity misc Antidepressants misc Treatment response Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression
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topic_title	Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression Major depression (dpeaa)DE-He213 Electroencephalography (dpeaa)DE-He213 Functional connectivity (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Treatment response (dpeaa)DE-He213
topic	misc Major depression misc Electroencephalography misc Functional connectivity misc Antidepressants misc Treatment response
topic_unstemmed	misc Major depression misc Electroencephalography misc Functional connectivity misc Antidepressants misc Treatment response
topic_browse	misc Major depression misc Electroencephalography misc Functional connectivity misc Antidepressants misc Treatment response
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title	Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression
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title_full	Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression
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author_browse	Huang, Shiau-Shian Yu, Yu-Hsiang Chen, His-Han Hung, Chia-Chun Wang, Yao-Ting Chang, Chieh Hsin Peng, Syu-Jyun Kuo, Po-Hsiu
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title_sort	functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression
title_auth	Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression
abstract	Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). Results We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. Conclusions The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. © The Author(s) 2023
abstractGer	Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). Results We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. Conclusions The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. © The Author(s) 2023
abstract_unstemmed	Background The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. Method This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). Results We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. Conclusions The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. © The Author(s) 2023
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title_short	Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression
url	https://dx.doi.org/10.1186/s12888-023-04958-8
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author2	Yu, Yu-Hsiang Chen, His-Han Hung, Chia-Chun Wang, Yao-Ting Chang, Chieh Hsin Peng, Syu-Jyun Kuo, Po-Hsiu
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up_date	2024-07-03T13:28:56.244Z
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