Brain causality alterations in major depressive disorder treatment

Early-phase directional brain connectivity analysis reveals that pharmacological and neurostimulation treatments engage distinct neural oscillatory mechanisms within the first week. Elevated baseline right-dominant <i>α</i>-band causal transmission identifies patients unlikely to respond to pharmacological treatment, enabling alternative interventions before weeks of ineffective therapy. These phase-based causality metrics offer promising biomarkers for early treatment stratification and monitoring. The ability to distinguish treatment responders from nonresponders at baseline and detect treatment-specific changes within one week, before clinical response manifestation, suggests these causality measures capture early mechanistic alterations that could inform timely treatment optimization decisions. (EUDRACT Nos. 2005-000826-22 and 2015-001639-19, registered via www.clinicaltrialsregister.eu).

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Publication Details

Journal
Frontiers in Psychiatry
Published
2026-01-27
DOI
https://doi.org/10.3389/fpsyt.2025.1718216
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Brain causality alterations in major depressive disorder treatment

Aditi Kathpalia, Milan Paluš, Ioannis Vlachos, Madhurima Bhattacharjee et al.
Frontiers in Psychiatry
Functional Brain Connectivity Studies
article

Brain causality alterations in major depressive disorder treatment

Aditi Kathpalia, Milan Paluš, Ioannis Vlachos, Madhurima Bhattacharjee, Martin Brunovský, Martin Bareš, Jaroslav Hlinka
article en

Abstract

Early-phase directional brain connectivity analysis reveals that pharmacological and neurostimulation treatments engage distinct neural oscillatory mechanisms within the first week. Elevated baseline right-dominant <i>α</i>-band causal transmission identifies patients unlikely to respond to pharmacological treatment, enabling alternative interventions before weeks of ineffective therapy. These phase-based causality metrics offer promising biomarkers for early treatment stratification and monitoring. The ability to distinguish treatment responders from nonresponders at baseline and detect treatment-specific changes within one week, before clinical response manifestation, suggests these causality measures capture early mechanistic alterations that could inform timely treatment optimization decisions. (EUDRACT Nos. 2005-000826-22 and 2015-001639-19, registered via www.clinicaltrialsregister.eu).

Frontiers in PsychiatryVol. 16
Czech Academy of Sciences (CZ), Charles University (CZ), Aristotle University of Thessaloniki (GR), Czech Academy of Sciences, Institute of Computer Science (CZ), National Institute of Mental Health (JP), National Institute of Mental Health (CZ)
Univerzita Karlova v Praze, Grantová Agentura České Republiky, Akademie Věd České Republiky, European Regional Development Fund
Openalex Percentile: Top 78%
Functional Brain Connectivity Studies
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