Evidence map›Paper›PMID 42100806›Full record

ArticleStroke2026

Longitudinal Degeneration of Microstructural and Structural Connectivity Patterns Following Stroke.

Lorenzo Pini, Mohammad Hadi Aarabi, Alessandro Salvalaggio, Angela M Colletta, Nicholas V Metcalf, Joseph C Griffis, Alexandre R Carter, Gordon L Shulman, Maurizio Corbetta

Abstract read
In one paragraph

Article in Stroke, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lorenzo Pini *Department of Neuroscience (L.P., A.S., M.C.), University of Padua, Italy.ORCID 0000-0002-9305-3376
Mohammad Hadi Aarabi *Padova Neuroscience Center (L.P., M.H.A., A.S., M.C.), University of Padua, Italy.ORCID 0000-0002-5550-9782
Alessandro SalvalaggioDepartment of Neuroscience (L.P., A.S., M.C.), University of Padua, Italy.ORCID 0000-0002-1273-7566
Angela M CollettaWashington University School of Medicine, St. Louis, MO (A.M.C.).
Nicholas V MetcalfDepartment of Neurology (N.V.M., A.R.C., G.L.S.), Washington University in St. Louis, MO.
Joseph C GriffisDepartment of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City (J.C.G.).ORCID 0000-0002-5548-1169
Alexandre R CarterDepartment of Neurology (N.V.M., A.R.C., G.L.S.), Washington University in St. Louis, MO.ORCID 0000-0002-1161-4396
Gordon L ShulmanDepartment of Neurology (N.V.M., A.R.C., G.L.S.), Washington University in St. Louis, MO.ORCID 0000-0003-0623-4054
Maurizio CorbettaDepartment of Neuroscience (L.P., A.S., M.C.), University of Padua, Italy.ORCID 0000-0001-8295-3304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke causes neurological impairment through local plasticity mechanisms, such as synaptic sprouting, and large-scale network reorganization. Although poststroke Wallerian degeneration is well established, whether white matter (WM) tracts' remodel over time to support behavioral recovery remains controversial. We investigated whether longitudinal changes in WM microstructure and structural connectivity are coupled to poststroke behavior, and how structural connectivity reorganization relates to local disconnection microstructure.

methodsIn this prospective cohort study (Washington University, St. Louis; 2016-2018), patients with first-time stroke underwent diffusion-weighted magnetic resonance imaging and behavioral assessments at 2 weeks and 3 months poststroke; healthy controls were assessed twice. Latent factorial analysis was applied to behavioral and microstructural data from diffusion tensor imaging and neurite orientation dispersion and density imaging. Primary measures were whole-brain structural connectivity gradient divergences computed from tractography, microstructural diffusion parameters extracted from both WM and cortical regions disconnected by the lesion, and behavioral factors. Linear mixed models (adjusted for sociodemographic values) assessed longitudinal changes, linear regression assessed brain-behavior associations, and machine learning algorithms assessed differences between healthy controls and stroke.

resultsSeventy-nine patients (age, 60±12 years; 43% female; diffusion-weighted magnetic resonance imaging: 48 at 2 weeks and 26 at 3 months) and 33 age-matched healthy controls were included. At 2 weeks, patients with stroke exhibited diffuse whole-brain alterations in WM organization. These widespread changes were closely linked to microstructural abnormalities in WM pathways disconnected by the lesion. Notably, WM degeneration progressed between 2 weeks and 3 months poststroke. Whole-brain structural connectivity alterations were associated with cognitive deficits acutely but not at 3 months, whereas microstructural parameters in disconnected tracts were primarily related to motor impairment.

conclusionsIn patients with predominantly mild-severity stroke, we observed widespread and progressive alterations in WM microstructure that persists beyond the lesion and continues to evolve over time. Although acute structural disconnection relates to behavioral deficits, chronic WM degeneration appears largely uncoupled from functional recovery.

Indexed as

BrainStrokeWhite MatterAgedDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective Studiescognitionconnectomediffusion tensor imagingprognosisworkflow

Identifiers

PMID42100806
PMCPMC13281983

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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.