Evidence map›Paper›PMID 42858620›Full record

ArticleNeuroImage. Clinical2026

Thalamocortical connectivity associated with fatigue after accounting for depressive symptoms in stroke survivors and controls.

Joan Stilling, Christie Gillies, Ji Hyun Kim, Keith Jamison, Amy Kuceyeski

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Article in NeuroImage. Clinical, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Joan StillingWeill Cornell Medicine, Department of Rehabilitation Medicine, New York, NY, United States of America. Electronic address: qsi9001@med.cornell.edu.
Christie GilliesWeill Cornell Medicine, Department of Neuroscience, New York, NY, United States of America.
Ji Hyun KimNew York Medical College, Valhalla, NY, United States of America.
Keith JamisonWeill Cornell Medicine, Department of Radiology, New York, NY, United States of America.
Amy KuceyeskiWeill Cornell Medicine, Department of Radiology, New York, NY, United States of America; Cornell University, Computational Biology & Statistics and Data Science, Ithaca, NY, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-stroke fatigue is common and disabling, yet rarely distinguished from co-occurring depression, limiting understanding of its neural substrates. We examined resting-state fMRI correlates of post-stroke fatigue while accounting for depressive symptoms.

methodsWe studied 103 stroke patients and 29 age-matched controls from a longitudinal neuroimaging cohort. Fatigue was assessed via the SF-36 Vitality subscale and depression via the Geriatric Depression Scale - Short (GDS-15). Linear mixed-effects models evaluated associations between vitality and resting-state functional connectivity, adjusting for depression and covariates. Residualized vitality models served as sensitivity analyses to isolate fatigue variance independent of depressive symptoms, with FDR correction applied within feature families.

resultsIn depression-adjusted models, higher vitality (lower fatigue) was associated with increased frontoparietal-limbic connectivity (β = 0.0013, FDR q = 0.048), though this did not survive depression residualization. In a residualized sensitivity analysis, higher vitality (lower fatigue) was associated with reduced thalamus-insula and thalamus-ventral attention network connectivity (thalamus-insula: β = -0.0071, FDR q = 0.011; thalamus-VAN: β = -0.0043, FDR q = 0.012); these associations were attenuated and did not survive correction in the primary depression-adjusted model (q ≈ 0.075).

conclusionsFatigue was associated with both frontoparietal-limbic and thalamocortical connectivity, although the thalamic associations were attenuated after adjustment for depressive symptoms in the primary analysis and were most evident in residualized sensitivity analyses. These findings suggest that fatigue and depressive symptoms may involve both shared and potentially distinct neural correlates. Point estimates were smaller in stroke participants than controls, providing no evidence that the observed associations were stroke-specific. Future work should determine whether these relationships are unique to stroke or reflect broader neural correlates of fatigue across clinical populations.

Indexed as

Brain mappingDepressionFatigueFunctional connectivityRecovery of functionStrokeThalamus

Identifiers

PMID42858620
PMCPMC13677772

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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.