Resting-state Network Functional Organization in Temporal Lobe Epilepsy: Effects of Comorbid Depression

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Abstract

This study aimed to investigate resting-state network functional connectivity in patients with temporal lobe epilepsy (TLE) with and without comorbid depression. Using resting-state functional magnetic resonance imaging (rs-fMRI) and the XCP-D software package, we assessed functional connectivity between nodes of major resting-state neural networks: the default mode network (DMN), salience network (SN), dorsal attention network (DAN), somatomotor network (SMN), and frontoparietal control network (FPCN). The study included 77 patients with TLE (36 with depression, 41 without) and 48 healthy controls. Compared with both TLE without depression and healthy controls, patients with TLE and depression demonstrated decreased functional connectivity between key nodes of the SN, DAN, and DMN. In contrast, TLE without depression was characterized by increased connectivity between nodes of the DMN, FPCN, and SMN. A common feature for both TLE groups was increased connectivity between prefrontal nodes of the DMN and FPCN. These findings suggest distinct mechanisms of network reorganization in TLE depending on the presence of comorbid depression and highlight the importance of an integrative neuroimaging approach to epilepsy research.

About the authors

N. V. Ierusalimsky

Laboratory of Applied Human Higher Nervous Activity Physiology, Institute of Higher Nervous Activity and Neurophysiology, RAS; Moscow Research and Clinical Center for Neuropsychiatry

Author for correspondence.
Email: e.d.karimova@gmail.com
Moscow, Russia; Moscow, Russia

E. D. Karimova

Laboratory of Applied Human Higher Nervous Activity Physiology, Institute of Higher Nervous Activity and Neurophysiology, RAS

Email: e.d.karimova@gmail.com
Moscow, Russia

I. S. Samotaeva

Laboratory of Applied Human Higher Nervous Activity Physiology, Institute of Higher Nervous Activity and Neurophysiology, RAS; Moscow Research and Clinical Center for Neuropsychiatry

Email: e.d.karimova@gmail.com
Moscow, Russia; Moscow, Russia

R. V. Luzin

Moscow Research and Clinical Center for Neuropsychiatry

Email: e.d.karimova@gmail.com
Moscow, Russia

M. S. Zinchuk

Moscow Research and Clinical Center for Neuropsychiatry

Email: e.d.karimova@gmail.com
Moscow, Russia

F. K. Rieder

Moscow Research and Clinical Center for Neuropsychiatry

Email: e.d.karimova@gmail.com
Moscow, Russia

A. B. Guekht

Moscow Research and Clinical Center for Neuropsychiatry; Pirogov Russian National Research Medical University

Email: e.d.karimova@gmail.com
Moscow, Russia; Moscow, Russia

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