Evidence map›Paper›PMID 39574865›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Severe motor impairment is associated with lower contralesional brain age in chronic stroke.

Gilsoon Park, Mahir H Khan, Justin W Andrushko, Nerisa Banaj, Michael R Borich, Lara A Boyd, Amy Brodtmann, Truman R Brown, Cathrin M Buetefisch, Adriana B Conforto and 38 more

Abstract readPreprint
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In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

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

48 authors.

Gilsoon ParkMark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States.
Mahir H KhanChan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, United States.
Justin W AndrushkoDepartment of Physical Therapy, University of British Columbia, Vancouver, Canada.
Nerisa BanajDepartment of Clinical Neuroscience and Neurorehabilitation, Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy.
Michael R BorichRehabilitation Medicine/Physical Therapy, Emory University, Atlanta, GA, United States.
Lara A BoydDepartment of Physical Therapy, University of British Columbia, Vancouver, Canada.
Amy BrodtmannCognitive Health Initiative, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Truman R BrownRadiology, Medical University of South Carolina, Mount Pleasant, SC, United States.
Cathrin M BuetefischNeurology, Emory University, Atlanta, GA, United States.
Adriana B ConfortoLIM-44, Laboratory of Magnetic Resonance Imaging in Neuroradiology, Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
Steven C CramerDepartment of Neurology, UCLA, Los Angeles, CA, United States.
Michael DimyanUM Rehabilitation and Orthopaedic Institute, University of Maryland, Baltimore, MD, United States.
Martin DominCore Unit Functional Imaging, University Medicine Greifswald, Greifswald, Deutschland, Germany.
Miranda R DonnellyChan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, United States.
Natalia Egorova-BrumleyMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia.
Elsa R ErmerNeurology, University of Maryland Baltimore, Baltimore, MD, United States.
Wuwei FengNeurology, Duke University School of Medicine, Durham, NC, United States.
Fatemeh GeranmayehDepartment of Brain Sciences, Imperial College London, London, United Kingdom.
Colleen A HanlonDepartment of Cancer Biology, Wake Forest School of Medicine, Winston Salem, NC, United States.
Brenton HordacreInnovation, Implementation and Clinical Translation (IIMPACT) in Health, University of South Australia, Adelaide, South Australia, Australia.
Neda JahanshadImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Steven A KautzDepartment of Health Sciences and Research, Medical University of South Carolina, Charleston, SC, United States.
Mohamed Salah KhlifCognitive Health Initiative, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Jingchun LiuDepartment of Radiology, Tianjin Medical University General Hospital, Tianjin, China.
Martin LotzeCore Unit Functional Imaging, University Medicine Greifswald, Greifswald, Deutschland, Germany.
Bradley J MacIntoshMedical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Feroze B MohamedJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States.
Jan E NordvikCatoSenteret Rehabilitation Center, Son, Norway.
Fabrizio PirasDepartment of Clinical Neuroscience and Neurorehabilitation, Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy.
Kate P RevillFacility for Education and Research in Neuroscience, Emory University, Atlanta, United States.
Andrew D RobertsonKinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
Christian SchranzDepartment of Rehabilitation Sciences, Medical University of South Carolina, Charleston, SC, United States.
Nicolas SchweighoferDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, United States.
Na Jin SeoDepartment of Health Sciences and Research, Medical University of South Carolina, Charleston, SC, United States.
Surjo R SoekadarClinical Neurotechnology, Charité - University Medicine Berlin, Berlin, Berlin, Germany.
Shraddha SrivastavaCourage Kenny Rehabilitation Institute, Allina Health, Minneapolis, MN.
Bethany P TavennerDepartment of Psychology, University of California, Riverside, Riverside, CA, United States.
Gregory T ThielmanDepartment of Physical Therapy and Neuroscience, Saint Joseph's University, Philadelphia, PA, USA.
Sophia I ThomopoulosImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Daniela VecchioDepartment of Clinical Neuroscience and Neurorehabilitation, Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy.
Emilio WerdenCognitive Health Initiative, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Lars T WestlyeDepartment of Psychology, University of Oslo, Oslo, Norway.
Carolee J WinsteinDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, United States.
George F WittenbergGRECC, VA Pittsburgh Healthcare System; Neurology, University of Pittsburgh, Pittsburgh, PA, United States.
Chunshui YuMedical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Paul M ThompsonImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Sook-Lei LiewMark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0001-5935-4215
Hosung KimMark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Supplement to Effects of global brain health on sensorimotor recovery after strokeR01NS115845 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LIEW, SOOK-LEI · 2020 to 2024
$3.2M
Role of distinctive cortical motor maps for hand muscles for recovery post strokeR01HD094731 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI SEO, NA JIN · 2020 to 2024
$3.1M
Customized cortical stimulation therapy in the rehabilitation of stroke patientsR01NS090677 · NINDS · EMORY UNIVERSITY · PI BUETEFISCH, CATHRIN M · 2015 to 2018
$3.0M
Combined brain and peripheral nerve stimulation to enhance beneficial effects ofR01NS076348 · NINDS · FUNDACAO FACULDADE DE MEDICINA · PI CONFORTO, ADRIANA B · 2012 to 2015
$441k
NIA NIH HHS U01 AG024904NICHD NIH HHS R01 HD094731NIGMS NIH HHS P20 GM109040NINDS NIH HHS R01 NS076348NINDS NIH HHS R01 NS090677NINDS NIH HHS R01 NS115845Wellcome Trust
6 · The paper itself

Abstract

Background: Stroke leads to complex chronic structural and functional brain changes that specifically affect motor outcomes. The brain-predicted age difference (brain-PAD) has emerged as a sensitive biomarker. Our previous study showed higher global brain-PAD associated with poorer motor function post-stroke. However, the relationship between local stroke lesion load, regional brain age, and motor impairment remains unclear. Methods: We studied 501 individuals with chronic unilateral stroke (>180 days post-stroke) from the ENIGMA Stroke Recovery Working Group dataset (34 cohorts). Structural T1-weighted MRI scans were used to estimate regional brain-PAD in 18 predefined functional subregions via a graph convolutional network algorithm. Lesion load for each region was calculated based on lesion overlap. Linear mixed-effects models assessed associations between lesion size, local lesion load, and regional brain-PAD. Machine learning classifiers predicted motor outcomes using lesion loads and regional brain-PADs. Structural equation modeling examined directional relationships among corticospinal tract lesion load (CST-LL), ipsilesional brain-PAD, motor outcomes, and contralesional brain-PAD. Findings: Larger total lesion size was positively associated with higher ipsilesional regional brain-PADs (older brain age) across most regions (p < 0.05), and with lower contralesional brain-PAD, notably in the ventral attention-language network (p < 0.05). Higher local lesion loads showed similar patterns. Specifically, lesion load in the salience network significantly influenced regional brain-PADs across both hemispheres. Machine learning models identified CST-LL, salience network lesion load, and regional brain-PAD in the contralesional frontoparietal network as the top three predictors of motor outcomes. Structural equation modeling revealed that larger stroke damage was associated with poorer motor outcomes (β = -0.355, p < 0.001), which were further linked to younger contralesional brain age (β = 0.204, p < 0.001), suggesting that severe motor impairment is linked to compensatory decreases in contralesional brain age. Interpretation: Our findings reveal that larger stroke lesions are associated with accelerated aging in the ipsilesional hemisphere and paradoxically decelerated brain aging in the contralesional hemisphere, suggesting compensatory neural mechanisms. Assessing regional brain age may serve as a biomarker for neuroplasticity and inform targeted interventions to enhance motor recovery after stroke. Fundings: Micheal J Fox Foundation, National Institutes of Health, Canadian Institutes of Health Research, National Health and Medical Research Council, Australian Brain Foundation, Wicking Trust, Collie Trust, and Sidney and Fiona Myer Family Foundation, National Heart Foundation, Hospital Israelita Albert Einstein, Australian Research Council Future Fellowship, Wellcome Trust, National Institute for Health Research Imperial Biomedical Research Centre, European Research Council, Deutsche Forschungsgemeinschaft, REACT Pilot, National Resource Center, Research Council of Norway, South-Eastern Norway Regional Health Authority, Norwegian Extra Foundation for Health and Rehabilitation, Sunnaas Rehabilitation Hospital HT, University of Oslo, and VA Rehabilitation Research and Development.

Indexed as

graph convolutional networklesion loadmotor impairmentregional brain agestroke outcome predictionstroke recovery

Identifiers

PMID39574865
PMCPMC11581069

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.