Evidence map›Paper›PMID 42132478›Full record

Observational studyPsychiatry and clinical neurosciences2026

Network-level disconnectivity tracks poststroke depressive symptom improvement.

Aleksi J Sihvonen, Sonia L E Brownsett, David A Copland, Alistair Walsh, Stephen M Davis, Geoffrey A Donnan, Leeanne M Carey

Registry-linked trialAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Psychiatry and clinical neurosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00887328 (Extending the Time for Thrombolysis in Emergency Neurological Deficits), which is not on this map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00887328 phase3completednot on this map

Extending the Time for Thrombolysis in Emergency Neurological Deficits

TypeinterventionalSponsorNeuroscience Trials AustraliaRan2010 to 2018Enrolled180ConditionsStrokeArmsTissue Plasminogen Activator (Alteplase), Placebo
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Aleksi J SihvonenCentre of Excellence in Music, Mind, Body and Brain, Cognitive Brain Research Unit (CBRU), University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-4501-7338
Sonia L E BrownsettQueensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
David A CoplandQueensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
Alistair WalshOccupational Therapy, School of Allied Health Human Services and Sport, La Trobe University, Melbourne, Australia.
Stephen M DavisMelbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Australia.
Geoffrey A DonnanMelbourne Brain Centre, Royal Melbourne Hospital, Melbourne, Australia.
Leeanne M CareyCentre of Research Excellence in Aphasia Recovery and Rehabilitation, La Trobe University, Melbourne, Australia.

Funding

Commonwealth Scientific and Industrial Research OrganisationMaire Taposen SäätiöNational Health and Medical Research Council 1077898National Health and Medical Research Council 1104194National Health and Medical Research Council 1113352National Health and Medical Research Council 1153236National Health and Medical Research Council 2004443Orionin TutkimussäätiöResearch Council of Finland 368008Signe ja Ane Gyllenbergin SäätiöSuomen Kulttuurirahasto 191230
6 · The paper itself

Abstract

aimsPoststroke 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.

methodsSixty-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.

resultsPatient lesions mapped to a connected brain network centered on the left dorsolateral prefrontal cortex (P

conclusionsDepressive 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 registrationSTART-PrePARE Australian New Zealand Clinical Trials, www.anzctr.org.au, Registry number: ACTRN12610000987066. EXTEND ClinicalTrial.gov identifier: NCT00887328.

Indexed as

DepressionDorsolateral Prefrontal CortexNerve NetStrokeAgedDiffusion Magnetic Resonance ImagingFemaleHumansLongitudinal StudiesMaleMiddle Agedconnectivitydepressionlesionlesion network mappingstroke

Identifiers

PMID42132478
PMCPMC13447115

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.