Large-scale EEG neural network changes in response to therapeutic TMS
Background: Transcranial magnetic stimulation (TMS) is an effective therapy for patients with treatment-resistant depression. TMS likely induces functional connectivity changes in aberrant circuits implicated in depression. Electroencephalography (EEG) “microstates” are topographies hypothesized to...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-03-01
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| Series: | Brain Stimulation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1935861X22000080 |
| _version_ | 1818083602958647296 |
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| author | Michael C. Gold Shiwen Yuan Eric Tirrell E. Frances Kronenberg Jee Won D. Kang Lauren Hindley Mohamed Sherif Joshua C. Brown Linda L. Carpenter |
| author_facet | Michael C. Gold Shiwen Yuan Eric Tirrell E. Frances Kronenberg Jee Won D. Kang Lauren Hindley Mohamed Sherif Joshua C. Brown Linda L. Carpenter |
| author_sort | Michael C. Gold |
| collection | DOAJ |
| description | Background: Transcranial magnetic stimulation (TMS) is an effective therapy for patients with treatment-resistant depression. TMS likely induces functional connectivity changes in aberrant circuits implicated in depression. Electroencephalography (EEG) “microstates” are topographies hypothesized to represent large-scale resting networks. Canonical microstates have recently been proposed as markers for major depressive disorder (MDD), but it is not known if or how they change following TMS. Methods: Resting EEG was obtained from 49 MDD patients at baseline and following six weeks of daily TMS. Polarity-insensitive modified k-means clustering was used to segment EEGs into constituent microstates. Microstates were localized via sLORETA. Repeated-measures mixed models tested for within-subject differences over time and t-tests compared microstate features between TMS responder and non-responder groups. Results: Six microstates (MS-1 - MS-6) were identified from all available EEG data. Clinical response to TMS was associated with increases in features of MS-2, along with decreased metrics of MS-3. Nonresponders showed no significant changes in any microstate. Change in occurrence and coverage of both MS-2 (increased) and MS-3 (decreased) correlated with symptom change magnitude over the course of TMS treatment. Conclusions: We identified EEG microstates associated with clinical improvement following a course of TMS therapy. Results suggest selective modulation of resting networks observable by EEG, which is inexpensive and easily acquired in the clinic setting. |
| first_indexed | 2024-12-10T19:40:37Z |
| format | Article |
| id | doaj.art-576a017496524c36817d9304467cffb0 |
| institution | Directory Open Access Journal |
| issn | 1935-861X |
| language | English |
| last_indexed | 2024-12-10T19:40:37Z |
| publishDate | 2022-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Brain Stimulation |
| spelling | doaj.art-576a017496524c36817d9304467cffb02022-12-22T01:36:01ZengElsevierBrain Stimulation1935-861X2022-03-01152316325Large-scale EEG neural network changes in response to therapeutic TMSMichael C. Gold0Shiwen Yuan1Eric Tirrell2E. Frances Kronenberg3Jee Won D. Kang4Lauren Hindley5Mohamed Sherif6Joshua C. Brown7Linda L. Carpenter8Butler Hospital TMS Clinic and Neuromodulation Research Facility, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, USAButler Hospital TMS Clinic and Neuromodulation Research Facility, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, USAButler Hospital TMS Clinic and Neuromodulation Research Facility, Providence, RI, USAButler Hospital TMS Clinic and Neuromodulation Research Facility, Providence, RI, USAButler Hospital TMS Clinic and Neuromodulation Research Facility, Providence, RI, USAButler Hospital TMS Clinic and Neuromodulation Research Facility, Providence, RI, USADepartment of Psychiatry and Human Behavior, Alpert Medical School, Brown University, USA; Lifespan Physician Group, Rhode Island Hospital, Providence, RI, USAButler Hospital TMS Clinic and Neuromodulation Research Facility, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, USAButler Hospital TMS Clinic and Neuromodulation Research Facility, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, USA; Corresponding author. 345 Blackstone Blvd, Providence, RI, 02906, USA.Background: Transcranial magnetic stimulation (TMS) is an effective therapy for patients with treatment-resistant depression. TMS likely induces functional connectivity changes in aberrant circuits implicated in depression. Electroencephalography (EEG) “microstates” are topographies hypothesized to represent large-scale resting networks. Canonical microstates have recently been proposed as markers for major depressive disorder (MDD), but it is not known if or how they change following TMS. Methods: Resting EEG was obtained from 49 MDD patients at baseline and following six weeks of daily TMS. Polarity-insensitive modified k-means clustering was used to segment EEGs into constituent microstates. Microstates were localized via sLORETA. Repeated-measures mixed models tested for within-subject differences over time and t-tests compared microstate features between TMS responder and non-responder groups. Results: Six microstates (MS-1 - MS-6) were identified from all available EEG data. Clinical response to TMS was associated with increases in features of MS-2, along with decreased metrics of MS-3. Nonresponders showed no significant changes in any microstate. Change in occurrence and coverage of both MS-2 (increased) and MS-3 (decreased) correlated with symptom change magnitude over the course of TMS treatment. Conclusions: We identified EEG microstates associated with clinical improvement following a course of TMS therapy. Results suggest selective modulation of resting networks observable by EEG, which is inexpensive and easily acquired in the clinic setting.http://www.sciencedirect.com/science/article/pii/S1935861X22000080TMSEEGMicrostatesMDDNeuromodulation |
| spellingShingle | Michael C. Gold Shiwen Yuan Eric Tirrell E. Frances Kronenberg Jee Won D. Kang Lauren Hindley Mohamed Sherif Joshua C. Brown Linda L. Carpenter Large-scale EEG neural network changes in response to therapeutic TMS Brain Stimulation TMS EEG Microstates MDD Neuromodulation |
| title | Large-scale EEG neural network changes in response to therapeutic TMS |
| title_full | Large-scale EEG neural network changes in response to therapeutic TMS |
| title_fullStr | Large-scale EEG neural network changes in response to therapeutic TMS |
| title_full_unstemmed | Large-scale EEG neural network changes in response to therapeutic TMS |
| title_short | Large-scale EEG neural network changes in response to therapeutic TMS |
| title_sort | large scale eeg neural network changes in response to therapeutic tms |
| topic | TMS EEG Microstates MDD Neuromodulation |
| url | http://www.sciencedirect.com/science/article/pii/S1935861X22000080 |
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