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DOI 10.1016/j.jpsychires.2023.07.034

Медицинская библиотека · Journal of psychiatric research · 2023

Understanding and predicting future relapse in depression from resting state functional connectivity and self-referential processing.

van Kleef Rozemarijn S, Kaushik Pallavi, Besten Marlijn, Marsman Jan-Bernard C, Bockting Claudi L H, van Vugt Marieke, Aleman André, van Tol Marie-José

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

The recurrent nature of Major Depressive Disorder (MDD) asks for a better understanding of mechanisms underlying relapse. Previously, self-referential processing abnormalities have been linked to vulnerability for relapse. We investigated whether abnormalities in self-referential cognitions and functioning of associated brain-networks persist upon remission and predict relapse.

METHODS

Remitted recurrent MDD patients (n = 48) and never-depressed controls (n = 23) underwent resting-state fMRI scanning at baseline and were additionally assessed for their implicit depressed self-associations and ruminative behaviour. A template-based dual regression approach was used to investigate between-group differences in default mode, cingulo-opercular and frontoparietal network resting-state functional connectivity (RSFC). Additional prediction of relapse status at 18-month follow-up was investigated within patients using both regression analyses and machine learning classifiers.

RESULTS

Remitted patients showed higher rumination, but no implicit depressed self-associations or RSFC abnormalities were observed between patients and controls. Nevertheless, relapse was related to i) baseline RSFC between the ventral default mode network and the precuneus, dorsomedial frontal gyrus, and inferior occipital lobe, ii) implicit self-associations, and iii) uncontrollability of ruminative thinking, when controlled for depressive symptomatology. Moreover, preliminary machine learning classifiers demonstrated that RSFC within the investigated networks predicted relapse on an individual basis.

CONCLUSIONS

Remitted MDD patients seem to be commonly characterized by abnormal rumination, but not by implicit self-associations or abnormalities in relevant brain networks. Nevertheless, relapse was predicted by self-related cognitions and default mode RSFC during remission, suggesting that variations in self-relevant processing play a role in the complex dynamics associated with the vulnerability to developing recurrent depressive episodes.

CLINICAL TRIAL REGISTRATION: Netherlands Trial Register, August 18, 2015, trial number NL53205.042.15.

Для цитирования: van Kleef Rozemarijn S, Kaushik Pallavi, Besten Marlijn, Marsman Jan-Bernard C, Bockting Claudi L H, van Vugt Marieke, Aleman André, van Tol Marie-José. Understanding and predicting future relapse in depression from resting state functional connectivity and self-referential processing.. Journal of psychiatric research. 2023. DOI: 10.1016/j.jpsychires.2023.07.034.

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