Evidence map›Paper›PMID 40015104›Full record

Observational studyNeuroImage. Clinical2025

Hypoperfusion regions linked to National Institutes of Health Stroke Scale scores in acute stroke.

Hana Kim, Alex Teghipco, Chris Rorden, Julius Fridriksson, Mathew Chaves, Argye E Hillis

Abstract readObservational Study
In one paragraph

Observational study in NeuroImage. Clinical, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Hana KimDepartment of Communication Sciences & Disorders, University of South Florida, USA.
Alex TeghipcoDepartment of Psychology, University of South Carolina, USA.
Chris RordenDepartment of Psychology, University of South Carolina, USA.
Julius FridrikssonDepartment of Communication Sciences & Disorders, University of South Carolina USA.
Mathew ChavesDepartments of Neurology and Physical Medicine & Rehabilitation, Johns Hopkins School of Medicine, USA.
Argye E HillisDepartments of Neurology and Physical Medicine & Rehabilitation, Johns Hopkins School of Medicine, USA. Electronic address: argye@jhmi.edu.

Funding

Telerehab for Aphasia (TERRA)P50DC014664 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2016 to 2025
$25.0M
Neural Basis of Lexical Deficits in Hyperacute StrokeR01DC005375 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI Argye E. Hillis · 2002 to 2026
$11.8M
The Neural Basis of Impaired Affective Prosody in Alzheimer's Disease and Frontotemporal DegenerationR01DC015466 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI HILLIS, ARGYE E. · 2017 to 2021
$3.5M
Extending ezBIDS, NiiVue and dcm2niix for user-friendly cloud-based integration and visualizationRF1MH133701 · NIMH · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI RORDEN, CHRISTOPHER · 2023 to 2023
$2.0M
NIDCD NIH HHS P50 DC014664NIDCD NIH HHS R01 DC005375NIDCD NIH HHS R01 DC015466NIMH NIH HHS RF1 MH133701
6 · The paper itself

Abstract

backgroundThe National Institutes of Health Stroke Scale (NIHSS) is widely used to assess stroke severity. While prior studies have identified subcortical regions where infarcts correlate with NIHSS scores, stroke symptoms can also arise from hypoperfusion, not just infarcts. Understanding the potential for neurological recovery post-reperfusion is essential for guiding treatment decisions. The goal of this study was to identify brain regions where hypoperfusion correlates with NIHSS scores, using computed tomography perfusion (CTP) scans in cases of acute ischemic stroke.

methodsIn this prospective observational study, we analyzed CTP scans and NIHSS scores from 89 patients in the acute phase. We employed a unique support vector regression approach to overcome limitations of traditional mass univariate analyses. Additionally, we used stability selection to identify the most consistent features across subsets, reducing overfitting and ensuring robust predictive models. We verified the consistency of results through nested cross-validation.

resultsBoth cortical and subcortical areas, including white matter tracts, showed associations with NIHSS scores. These regions aligned with functions such as language, spatial attention, sensory, and motor skills, all assessed by the NIHSS.

conclusionsOur findings reveal that hypoperfusion in specific brain regions, including previously underreported cortical areas, contributes to NIHSS scores in acute stroke. Moreover, this study introduces a novel brain mapping approach using CTP imaging and stability selection, offering a more comprehensive view of acute stroke impairments and the potential for recovery before structural reorganization occurs.

Indexed as

BrainCerebrovascular CirculationIschemic StrokeSeverity of Illness IndexStrokeAgedAged, 80 and overFemaleHumansMaleMiddle AgedNational Institutes of Health (U.S.)Prospective StudiesTomography, X-Ray ComputedUnited StatesAcute Ischemic StrokeBrain mappingCTNIHSSPerfusion

Identifiers

PMID40015104
PMCPMC11909741

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.