Skip to content
#edge computing Open access

Edge controllability is associated with treatment response to repetitive transcranial magnetic stimulation in depression

Sep 2026 · bioRxiv · 0 citations · 21 references
Biology

TL;DR

It is suggested that edge based controllability captures circuit level properties relevant to treatment response and may inform personalized neuromodulation strategies.

Abstract

Repetitive transcranial magnetic stimulation (rTMS) is an established treatment for major depressive disorder (MDD), yet variability in treatment response remains a significant challenge. Network control theory provides a framework to quantify how brain networks facilitate state transitions, but prior work has focused primarily on node level metrics. Here, I investigate whether edge based controllability of the structural connectome is associated with rTMS outcomes. Twenty five patients with treatment-resistant depression underwent diffusion MRI prior to a five week course of high frequency rTMS targeting the dorsolateral prefrontal cortex. Structural connectomes were constructed using MRtrix3 and the Destrieux atlas, and edge based controllability metrics were computed at baseline. Controllability of specific middle frontal gyrus centered edges showed significant associations with changes in HAMD-24 scores, including connections to the superior frontal gyrus, hippocampus, angular gyrus, and orbital gyrus (r = -(0.470–0.597), p < 0.05). These findings suggest that edge based controllability captures circuit level properties relevant to treatment response and may inform personalized neuromodulation strategies.

Read PDF

Similar papers

Open access Sep 2026

Toward an Iterative, Testable Transcranial Magnetic Stimulation Framework for Posttraumatic Stress Disorder

Transcranial magnetic stimulation (TMS) has shown promise as a treatment for posttraumatic stress disorder (PTSD); however, the field continues to face a deceptively simple question: where should stimulation be delivered? Existing studies have targeted the left dorsolateral prefrontal cortex (DLPFC), right DLPFC, media...

N. Philip, S. V. van Rooij · 0 citations
Sep 2026

Identifying poor responders to repetitive transcranial magnetic stimulation using structural brain networks.

BACKGROUND The efficacy of repetitive transcranial magnetic stimulation (rTMS) for depression varies widely. We examined whether pretreatment structural brain networks, specifically rich-club connection strength (RCS) and modularity, were associated with this variability and could help predict therapeutic outcomes. M...

Yang Li, Man Wang, Wei Han et al. · 0 citations
Oct 2026

Microstructural changes in prefrontal-cingulate networks following bilateral dorsomedial prefrontal cortex-targeted intermittent theta-burst stimulation in treatment-resistant depression: A diffusion tensor imaging study.

Intermittent theta-burst stimulation (iTBS) is a transcranial magnetic stimulation protocol used in treatment-resistant depression (TRD), yet its effects on brain structural connectivity remain incompletely understood. The dorsomedial prefrontal cortex (dmPFC), a key node within emotion regulation networks, has emerged...

E. Çelik, B. Poyraz, S. Arslan et al. · 0 citations
Open access Oct 2026

Excitation-Inhibition Balance and Fronto-Limbic Connectivity Distinguish TMS Treatment Outcomes in Refractory Depression.

BACKGROUND Intermittent theta burst stimulation (iTBS) targeting the left dorsolateral prefrontal cortex (DLPFC) is effective for treatment-resistant depression, but outcomes remain variable. The neurophysiological mechanisms underlying response remain poorly understood, limiting precision neuromodulation. METHODS We...

D. Momi, Zheng Wang, M. P. Oveisi et al. · 0 citations
Open access Sep 2026

363. Angular gyrus as a key hub of treatment refractoriness and neuromodulation response in major depressive disorder: a data-driven structural covariance network analysis

Abstract Background Treatment-resistant depression (TRD) represents a severe subtype of major depressive disorder (MDD) characterized by inadequate response to antidepressant treatments. Although large-scale network (e.g., default mode network) dysfunction, has been implicated in MDD, the structural network substrates...

C.-T. Li, Y.-Z. Lee, C.-W. Hsu et al. · 0 citations
Open access Sep 2026

Accelerated TMS is associated with changes of subgenual cingulate-default mode network coupling in depression: an observational 7 Tesla fMRI study.

BACKGROUND Accelerated transcranial magnetic stimulation (aTMS) is an effective treatment for depression, but its neurobiological mechanisms of action remain to be elucidated. This study used high-resolution 7-Tesla MRI to investigate changes in resting-state functional connectivity (rs-FC) of the subgenual anterior ci...

T. Bracht, Pascal Borel, S. Dendorfer et al. · 0 citations

Related blog posts

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

Microsoft Research Blog Oct 21, 2026

Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.