Microstructural Changes and Treatment Response Predictors for Two‐Day Accelerated iTBS in Adolescents With Major Depressive Disorder: A DTI Study

Background Adolescents with major depressive disorder (aMDD) face unique treatment challenges, as conventional multiweek repetitive transcranial magnetic stimulation protocols may conflict with academic and developmental demands. Accelerated intermittent theta burst stimulation (aiTBS) offers a time‐efficient alternative with potential for rapid symptom relief. This exploratory study investigated the clinical and microstructural effects of a 2‐day aiTBS protocol in aMDD and explored potential neuroimaging predictors of treatment response. Methods Thirty‐two aMDD patients underwent diffusion tensor imaging before and after aiTBS, while 34 healthy controls (HCs) were scanned at baseline. Clinical effects were assessed using the Montgomery–Åsberg Depression Rating Scale (MADRS). Diffusion metrics were derived using a combined method approach integrating tract‐based spatial statistics and atlas‐based region‐of‐interest extraction. Group differences and longitudinal changes in diffusion metrics were analyzed, and partial correlations were performed to explore associations with clinical improvement. Ridge regression with cross‐validation was employed to predict treatment response. Results Following aiTBS, MADRS scores decreased in the aMDD group, accompanied by an increase in fractional anisotropy in the left tapetum. Compared with HCs, the pre‐aiTBS aMDD group showed decreased mean diffusivity and axial diffusivity in the right external capsule, as well as decreased radial diffusivity in the right superior fronto‐occipital fasciculus. These alterations were partially restored to levels comparable with HCs following aiTBS. Moreover, changes in diffusion metrics within motor‐related, prefrontal‐limbic, and prefrontal‐occipital tracts were associated with clinical improvement. Baseline diffusion metrics in sensorimotor integration, prefrontal‐limbic, and prefrontal‐occipital tracts tentatively predicted treatment response. Conclusions These findings provide preliminary evidence that a 2‐day aiTBS protocol may be a feasible and time‐efficient intervention, with associated symptom improvement in aMDD. Our results support a tentative neurobiological model in which aiTBS may enhance top‐down regulation through prefrontal‐limbic and prefrontal‐occipital circuits to exert clinical effects.

Authors

Institutions

Publication Details

Journal
Depression and Anxiety
Published
2026-01-01
DOI
https://doi.org/10.1155/da/5764962
Primary Topic
Transcranial Magnetic Stimulation Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microstructural Changes and Treatment Response Predictors for Two‐Day Accelerated iTBS in Adolescents With Major Depressive Disorder: A DTI Study

Zhinan Yu, Jiao Ye, Shiying Wang, Peiying Li et al.
Depression and Anxiety
Transcranial Magnetic Stimulation Studies
article

Microstructural Changes and Treatment Response Predictors for Two‐Day Accelerated iTBS in Adolescents With Major Depressive Disorder: A DTI Study

Zhinan Yu, Jiao Ye, Shiying Wang, Peiying Li, Yiwei Sun, Bo Zhang, Bin Zhang, Shuang Liu
article en

Abstract

Background Adolescents with major depressive disorder (aMDD) face unique treatment challenges, as conventional multiweek repetitive transcranial magnetic stimulation protocols may conflict with academic and developmental demands. Accelerated intermittent theta burst stimulation (aiTBS) offers a time‐efficient alternative with potential for rapid symptom relief. This exploratory study investigated the clinical and microstructural effects of a 2‐day aiTBS protocol in aMDD and explored potential neuroimaging predictors of treatment response. Methods Thirty‐two aMDD patients underwent diffusion tensor imaging before and after aiTBS, while 34 healthy controls (HCs) were scanned at baseline. Clinical effects were assessed using the Montgomery–Åsberg Depression Rating Scale (MADRS). Diffusion metrics were derived using a combined method approach integrating tract‐based spatial statistics and atlas‐based region‐of‐interest extraction. Group differences and longitudinal changes in diffusion metrics were analyzed, and partial correlations were performed to explore associations with clinical improvement. Ridge regression with cross‐validation was employed to predict treatment response. Results Following aiTBS, MADRS scores decreased in the aMDD group, accompanied by an increase in fractional anisotropy in the left tapetum. Compared with HCs, the pre‐aiTBS aMDD group showed decreased mean diffusivity and axial diffusivity in the right external capsule, as well as decreased radial diffusivity in the right superior fronto‐occipital fasciculus. These alterations were partially restored to levels comparable with HCs following aiTBS. Moreover, changes in diffusion metrics within motor‐related, prefrontal‐limbic, and prefrontal‐occipital tracts were associated with clinical improvement. Baseline diffusion metrics in sensorimotor integration, prefrontal‐limbic, and prefrontal‐occipital tracts tentatively predicted treatment response. Conclusions These findings provide preliminary evidence that a 2‐day aiTBS protocol may be a feasible and time‐efficient intervention, with associated symptom improvement in aMDD. Our results support a tentative neurobiological model in which aiTBS may enhance top‐down regulation through prefrontal‐limbic and prefrontal‐occipital circuits to exert clinical effects.

Depression and AnxietyVol. 2026(1)
Tianjin Anding Hospital (CN), Human Computer Interaction (Switzerland) (CH), Tianjin Medical University (CN)
Good health and well-being
Openalex Percentile: Top 18%
Transcranial Magnetic Stimulation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.