Evidence map›Paper›PMID 37693419›Full record

ArticlebioRxiv : the preprint server for biology2023

Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes.

Emily R Olafson, Christoph Sperber, Keith W Jamison, Mark D Bowren, Aaron D Boes, Justin W Andrushko, Michael R Borich, Lara A Boyd, Jessica M Cassidy, Adriana B Conforto and 22 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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
0cells of the map it votes in
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

5 · Who and what money

Authors and funding

32 authors.

Emily R OlafsonDepartment of Radiology, Weill Cornell Medicine, New York City, New York, USA.
Christoph SperberDepartment of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Keith W JamisonDepartment of Radiology, Weill Cornell Medicine, New York City, New York, USA.
Mark D BowrenDepartment of Neurology, Carver College of Medicine, Iowa City, IA, USA.
Aaron D BoesDepartments of Neurology, Psychiatry, and Pediatrics, Carver College of Medicine, Iowa City, IA, USA.
Justin W AndrushkoDepartment of Physical Therapy, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Michael R BorichDivision of Physical Therapy, Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Lara A BoydDepartment of Physical Therapy, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Jessica M CassidyDepartment of Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Adriana B ConfortoHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paolo, Brazil.
Steven C CramerDept. Neurology, UCLA; California Rehabilitation Institute, Los Angeles, CA, USA.
Adrienne N DulaDepartment of Neurology, Dell Medical School at The University of Texas Austin, Austin, TX, USA.
Fatemeh GeranmayehClinical Language and Cognition Group. Department of Brain Sciences, Imperial College London, London, United Kingdom.
Brenton HordacreInnovation, Implementation and Clinical Translation (IIMPACT) in Health, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
Neda JahanshadImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Charleston, SC, USA.
Steven A KautzDepartment of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA.
Bethany LoChan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA.
Bradley J MacIntoshSandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Fabrizio PirasLaboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy.
Andrew D RobertsonSandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Na Jin SeoDepartment of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA.
Surjo R SoekadarDept. of Psychiatry and Neurosciences, Charité Campus Mitte (CCM), Charité - Universitätsmedizin Berlin, Berlin, Germany.
Sophia I ThomopoulosImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Charleston, SC, USA.
Daniela VecchioLaboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy.
Timothy B WengDepartment of Neurology, Dell Medical School at The University of Texas Austin, Austin, TX, USA.
Lars T WestlyeDepartment of Psychology, University of Oslo, Oslo, Norway.
Carolee J WinsteinDivision of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA.
George F WittenbergDepartments of Neurology, Bioengineering, Physical Medicine & Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA.
Kristin A WongDepartment of Physical Medicine & Rehabilitation, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
Paul M ThompsonImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Charleston, SC, USA.
Sook-Lei LiewStevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.
Amy F KuceyeskiDepartment of Radiology, Weill Cornell Medicine, New York City, New York, USA.

Funding

NSTN National Clinical Coordinating CenterU01NS086872 · NINDS · UNIVERSITY OF CINCINNATI · PI Joseph Paul Broderick, Pooja Khatri · 2013 to 2026
$32.3M
Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Validation of Early Prognostic Data for Recovery Outcomes after Stroke for Future, Higher Yield Trials (VERIFY)U01NS120910 · NINDS · YALE UNIVERSITY · PI Steven C. Cramer, Pooja Khatri · 2021 to 2026
$13.5M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
University of Iowam - Whole Body 7T MRI ScannerS10RR028821 · NCRR · UNIVERSITY OF IOWA · PI MAGNOTTA, VINCENT A · 2010 to 2010
$8.0M
ENIGMA-COINSTAC-APOE2 Functional and structural connectome protective mechanisms for Alzheimer’s disease and mood disorders: Request for supplemental funds for NIH R01:1R01MH121246R01MH121246 · NIMH · OHIO STATE UNIVERSITY · PI CALHOUN, VINCE D, TURNER, JESS · 2019 to 2023
$5.0M
Motor Recovery through Plasticity-Inducing Cortical StimulationUH3NS121565 · NINDS · UNIVERSITY OF WASHINGTON · PI Steven C. Cramer, Jeffrey G Ojemann · 2022 to 2026
$4.5M
Brain-computer interface-functional electrical stimulation for stroke recoveryR01HD095457 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI CRAMER, STEVEN C., DO, AN · 2019 to 2023
$3.7M
EFFECTIVENESS OF ROBOT-ASSISTED HAND MOVEMENT TRAINING AFTER STROKER01HD062744 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI David Jay Reinkensmeyer · 2010 to 2026
$3.5M
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
ENIGMA-SD: Understanding Sex Differences in Global Mental Health through ENIGMAR01MH116147 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2021
$2.5M
Medical Research Council MR/T001402/1NCRR NIH HHS S10 RR028821NIBIB NIH HHS U54 EB020403NICHD NIH HHS R00 HD091375NICHD NIH HHS R01 HD062744NICHD NIH HHS R01 HD065438NICHD NIH HHS R01 HD094731NICHD NIH HHS R01 HD095457NICHD NIH HHS R41 HD104296NIGMS NIH HHS P20 GM109040NIGMS NIH HHS T32 GM108540NIMH NIH HHS R01 MH116147NIMH NIH HHS R01 MH121246NIMH NIH HHS RF1 MH123163NINDS NIH HHS R01 NS076348NINDS NIH HHS R01 NS115845NINDS NIH HHS U01 NS086872NINDS NIH HHS U01 NS120910NINDS NIH HHS UH3 NS121565Wellcome Trust
6 · The paper itself

Abstract

Chronic motor impairments are a leading cause of disability after stroke. Previous studies have predicted motor outcomes based on the degree of damage to predefined structures in the motor system, such as the corticospinal tract. However, such theory-based approaches may not take full advantage of the information contained in clinical imaging data. The present study uses data-driven approaches to predict chronic motor outcomes after stroke and compares the accuracy of these predictions to previously-identified theory-based biomarkers. Using a cross-validation framework, regression models were trained using lesion masks and motor outcomes data from 789 stroke patients (293 female/496 male) from the ENIGMA Stroke Recovery Working Group (age 64.9±18.0 years; time since stroke 12.2±0.2 months; normalised motor score 0.7±0.5 (range [0,1]). The out-of-sample prediction accuracy of two theory-based biomarkers was assessed: lesion load of the corticospinal tract, and lesion load of multiple descending motor tracts. These theory-based prediction accuracies were compared to the prediction accuracy from three data-driven biomarkers: lesion load of lesion-behaviour maps, lesion load of structural networks associated with lesion-behaviour maps, and measures of regional structural disconnection. In general, data-driven biomarkers had better prediction accuracy - as measured by higher explained variance in chronic motor outcomes - than theory-based biomarkers. Data-driven models of regional structural disconnection performed the best of all models tested (R

Indexed as

imaging biomarkerslesion-deficit inferencemachine learning

Identifiers

PMID37693419
PMCPMC10491132

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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.