Network-level disconnectivity tracks poststroke depressive symptom improvement.
Overview
- Centre of Excellence in Music, Mind, Body and Brain, Cognitive Brain Research Unit (CBRU), University of Helsinki Helsinki Finland
- Department of Neurology, Neurocenter Helsinki University Central Hospital Helsinki Finland
- Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences The University of Queensland Brisbane Australia
- Surgical Treatment and Rehabilitation Service (STARS) Education and Research Alliance, The University of Queensland and Metro North Health Brisbane Queensland Australia
- Centre of Research Excellence in Aphasia Recovery and Rehabilitation La Trobe University Melbourne Australia
- Occupational Therapy, School of Allied Health Human Services and Sport La Trobe University Melbourne Australia
- Neurorehabilitation and Recovery The Florey Melbourne Australia
- Melbourne Brain Centre Royal Melbourne Hospital Melbourne Australia
- Faculty of Medicine Dentistry and Health Sciences The University of Melbourne Melbourne Australia
Abstract
Aims: Poststroke depression is the most common psychological condition following a stroke and can severely impact outcome. However, the neurobiological biomarkers associated with recovery of poststroke depression remain unclear. In this longitudinal observational study, we set out to investigate the effect of lesion‐induced focal damage and network‐level disconnectivity, and longitudinal structural connectivity on poststroke depression and its recovery.
Methods: Sixty‐two participants underwent a psychological assessment utilizing the Montgomery–Asberg Depression Rating Scale (MADRS‐SIGMA) at 3 and 12 months post first‐ever stroke. First, we evaluated the relationship between lesions and MADRS scores at the 3 months using voxel‐based lesion‐symptom mapping and lesion network mapping. Next, we assessed the longitudinal relationship between structural connectivity and MADRS scores (change from 3 to 12 months) using multi‐shell diffusion‐weighted MRI data (n = 29) collected at both timepoints.
Results: Patient lesions mapped to a connected brain network centered on the left dorsolateral prefrontal cortex (PFDR <0.05). Longitudinal diffusion MRI analysis revealed that increased quantitative anisotropy in the identified structural network was associated with improved depressive symptoms longitudinally (P = 0.014), independent of demographic and clinical covariates. Significant associations between the lesions and focal brain structures were not identified.
Conclusions: Depressive symptoms and their improvement mapped to a specific structural brain network. Knowledge of the integrity of this network could prove useful for predicting poststroke depression.
Clinical Trial Registration: START‐PrePARE Australian New Zealand Clinical Trials, www.anzctr.org.au, Registry number: ACTRN12610000987066. EXTEND ClinicalTrial.gov identifier: NCT00887328.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
The paper links to its data, not to its authors' code: see the Data section.
Tracing map
A tracing map links a paper to the code its authors published: this paper has none, so it has no map.
Data
Datasets cited
- dataverse.harvard.edu/
dataverse/ , at dataverse.harvard.edu; found in the text, “Lesion network mapping”gsp
Data availability statement
Research data are not shared.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 2, 28 September 2026
- Publisher: n/a → Wiley
Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 5 keywords, 11 MeSH terms, 7 funders, 45 references.
Cite
This paper
Sihvonen, A. J., Brownsett, S. L. E., Copland, D. A., Walsh, A., Davis, S. M., Donnan, G. A., & Carey, L. M. (2026). Network-level disconnectivity tracks poststroke depressive symptom improvement. Psychiatry and clinical neurosciences, 80(8), 676-681. https://
BibTeX
@article{sihvonen2026net
author = {Sihvonen, Aleksi J. and Brownsett, Sonia L. E. and Copland, David A. and Walsh, Alistair and Davis, Stephen M. and Donnan, Geoffrey A. and Carey, Leeanne M.},
title = {{Network-level disconnectivity tracks poststroke depressive symptom improvement}},
journal = {Psychiatry and clinical neurosciences},
year = {2026},
month = may,
volume = {80},
number = {8},
pages = {676--681},
publisher = {Wiley},
issn = {1323-1316},
doi = {10.1111/
url = {https://
pmid = {42132478},
pmcid = {PMC13447115}
}
RIS
TY - JOUR
AU - Sihvonen, Aleksi J.
AU - Brownsett, Sonia L. E.
AU - Copland, David A.
AU - Walsh, Alistair
AU - Davis, Stephen M.
AU - Donnan, Geoffrey A.
AU - Carey, Leeanne M.
TI - Network-level disconnectivity tracks poststroke depressive symptom improvement
T2 - Psychiatry and clinical neurosciences
J2 - Psychiatry Clin Neurosci
PY - 2026
DA - 2026/
VL - 80
IS - 8
SP - 676
EP - 681
SN - 1323-1316
PB - Wiley
DO - 10.1111/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1111/
"type": "article-journal",
"title": "Network-level disconnectivity tracks poststroke depressive symptom improvement",
"container-title": "Psychiatry and clinical neurosciences",
"author": [
{
"family": "Sihvonen",
"given": "Aleksi J."
},
{
"family": "Brownsett",
"given": "Sonia L. E."
},
{
"family": "Copland",
"given": "David A."
},
{
"family": "Walsh",
"given": "Alistair"
},
{
"family": "Davis",
"given": "Stephen M."
},
{
"family": "Donnan",
"given": "Geoffrey A."
},
{
"family": "Carey",
"given": "Leeanne M."
}
],
"container-title-short":
"volume": "80",
"issue": "8",
"page": "676-681",
"DOI": "10.1111/
"PMID": "42132478",
"PMCID": "PMC13447115",
"ISSN": "1323-1316",
"publisher": "Wiley",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
5,
14
]
]
}
}
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1093/braincomms/fcag316 [code]
- Structural, functional and neurochemical imaging mapping of non-motor symptoms in Parkinson's disease.Journal: Brain communicationsIn common: dataverse.harvard.edu/dataverse/gsp, depression, structural MRI / diffusion, 1 reference
- [2] doi:10.1002/mco2.70931 [code]
- Unveiling Functional Architecture of Human Thalamus: AStereoelectroencephalog
raphy Study. Journal: MedCommIn common: dataverse.harvard.edu/dataverse/gsp, 2 references - [3] doi:10.1017/s0033291726103924 [code]
- Brain network representations of placebo analgesia.Journal: Psychological medicineIn common: 4 references
- [4] doi:10.1038/s41531-026-01388-7 [code]
- Converging metabolic and functional networks for tremor expression and deep brain stimulation-mediated control.Journal: NPJ Parkinson's diseaseIn common: 3 references
- [5] doi:10.1186/s12916-026-05014-4 [code]
- Targeting the posterior thalamic hub: hemispheric-specific encoding of pain-depression comorbidity after hemorrhagic stroke.Journal: BMC medicineIn common: depression, stroke, structural MRI / diffusion, 1 reference
- [6] doi:10.3389/fneur.2026.1796739 [code]
- Network localization of regional intrinsic neural activity alterations in migraine and their neurochemical correlates.Journal: Frontiers in neurologyIn common: 3 references
- [7] doi:10.1016/j.nicl.2026.104052 [code]
- Beyond one-to-one mappings: Modelling distributed lesion-symptom relationships with multilayer networks.Journal: NeuroImage. ClinicalIn common: structural MRI / diffusion, 2 references
- [8] doi:10.1038/s41746-026-02803-2 [code]
- A clinical neuroimaging platform for rapid, automated lesion detection and personalized post-stroke outcome prediction.Journal: NPJ digital medicineIn common: stroke, 2 references
- [9] doi:10.1038/s41467-026-77248-y [code]
- The mPFC-reuniens-hippocampu
s pathway links brain circuitry and neural plasticity in antidepressant response. Journal: Nature communicationsIn common: depression, 2 references - [10] doi:10.3389/fnmol.2026.1909269 [code]
- Convergent functional networks of intrinsic activity alterations in temporal lobe epilepsy and their molecular correlates.Journal: Frontiers in molecular neuroscienceIn common: 3 references
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.