Evidence map›Paper›PMID 42661330›Full record

ArticleCNS neuroscience & therapeutics2026

Dynamic Functional Connectivity Changes in Cortical and Cortico-Striatal Strokes in Mice.

Fatemeh S N Mahani, Michael Diedenhofen, Claudia Green, Dirk Wiedermann, Gereon R Fink, Mathias Hoehn, Markus Aswendt

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Fatemeh S N MahaniCognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany.ORCID https://orcid.org/0009-0000-9886-9692
Michael DiedenhofenIn-Vivo-NMR Laboratory, Max Planck Institute for Metabolism Research, Cologne, Germany.
Claudia GreenIn-Vivo-NMR Laboratory, Max Planck Institute for Metabolism Research, Cologne, Germany.
Dirk WiedermannIn-Vivo-NMR Laboratory, Max Planck Institute for Metabolism Research, Cologne, Germany.
Gereon R FinkCognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany.ORCID https://orcid.org/0000-0002-8230-1856
Mathias HoehnCognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany.
Markus AswendtDepartment of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0003-1423-0934

Funding

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 431549029-SFB 1451
6 · The paper itself

Abstract

aimsTo determine how lesion size and location shape longitudinal functional connectivity (FC) changes after stroke.

methodsAdult male mice underwent atlas-based resting-state fMRI at baseline and 1, 2, and 4 weeks after either a small photothrombotic cortical stroke (N = 25) or a larger transient cortico-striatal MCAO stroke (N = 6). FC was quantified across 98 atlas regions, focusing on sensorimotor cortex, striatum, and thalamus, including intra- and inter-hemispheric connectivity matrices and regional seed strength.

resultsCortical stroke caused widespread hyperconnectivity at Weeks 1-2, with about 90% of connections increased, followed by partial normalization by Week 4. This effect declined most strongly in the ischemic hemisphere and remained more sustained contralesionally. In contrast, cortico-striatal stroke induced global hypoconnectivity at Week 1, with more than 90% of connections decreased, a modest and heterogeneous shift toward baseline at Week 2, and widespread decreases persisting at Week 4. A subset of sensorimotor connections showing opposite changes in the two models robustly separated groups at all post-stroke time points. Regional lesion involvement scaled with the magnitude of baseline-referenced FC alterations.

conclusionLesion topography drives distinct longitudinal FC trajectories after stroke and may help define network biomarkers and optimal windows for targeted interventions.

Indexed as

Cerebral CortexCorpus StriatumStrokeAnimalsDisease Models, AnimalImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiceMice, Inbred C57BLNeural Pathwaysfunctional brain network analysisinterhemispheric connectivityMCAOphotothrombosisresting‐state fMRIrodentsseed strengthsensorimotor network

Identifiers

PMID42661330
PMCPMC13522393

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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.