NeuroImage · 2026
Default mode network mechanisms of trait rumination in treatment-resistant depression and rTMS: evidence from source-localized EEG.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Chu Stephanie A, Valles Thomas Earl, Citrenbaum Cole C, Leuchter Michael K, Shamas Mohamad, Leuchter Andrew F, Corlier Juliana
Аннотация
BACKGROUND: Rumination is a transdiagnostic feature of multiple psychiatric disorders and is a critical risk factor for more severe episodes and poor treatment outcomes in treatment-resistant depression (TRD). Repetitive Transcranial Magnetic Stimulation (rTMS) ameliorates both depressive and ruminative symptoms in TRD. While prior literature has linked rumination to abnormal default mode network (DMN) connectivity, the electrophysiological correlates of rumination in the DMN are not well understood.
METHODS: Resting-state electroencephalography (EEG) data were examined in a cohort of 66 TRD subjects who underwent 30 sessions of rTMS treatment for TRD administered to left dorsolateral prefrontal cortex (DLPFC). We employed source-localization and calculated four metrics of functional connectivity (Amplitude Envelope Correlation [AEC], weighted Phase Lag Index [wPLI], magnitude-squared coherence, and Spectral Correlation Coefficient [SCC]) across five frequency bands within the DMN to identify the neural correlates of rumination in TRD. Correction for multiple comparisons was performed using the Network Based Statistic (NBS).
RESULTS: Baseline severity of rumination and depression were positively correlated, but AEC alpha band connectivity was positively associated only with baseline rumination severity and not depression. Rumination severity prior to treatment was not associated with any other connectivity metric. Severity of rumination and depression decreased following rTMS treatment, but alpha AEC connectivity did not charge after 30 sessions of rTMS treatment.
CONCLUSION: Higher DMN connectivity, as measured by alpha-band AEC, is a stable trait-like neurophysiological marker of rumination that is not significantly affected by rTMS administered to left DLPFC.
METHODS: Resting-state electroencephalography (EEG) data were examined in a cohort of 66 TRD subjects who underwent 30 sessions of rTMS treatment for TRD administered to left dorsolateral prefrontal cortex (DLPFC). We employed source-localization and calculated four metrics of functional connectivity (Amplitude Envelope Correlation [AEC], weighted Phase Lag Index [wPLI], magnitude-squared coherence, and Spectral Correlation Coefficient [SCC]) across five frequency bands within the DMN to identify the neural correlates of rumination in TRD. Correction for multiple comparisons was performed using the Network Based Statistic (NBS).
RESULTS: Baseline severity of rumination and depression were positively correlated, but AEC alpha band connectivity was positively associated only with baseline rumination severity and not depression. Rumination severity prior to treatment was not associated with any other connectivity metric. Severity of rumination and depression decreased following rTMS treatment, but alpha AEC connectivity did not charge after 30 sessions of rTMS treatment.
CONCLUSION: Higher DMN connectivity, as measured by alpha-band AEC, is a stable trait-like neurophysiological marker of rumination that is not significantly affected by rTMS administered to left DLPFC.