Trial reportNeurology2015
Effect of white matter lesions on manual dexterity in healthy middle-aged persons.
Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph
Trial report in Neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% of its field
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.
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.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Characterization of White Matter Hyperintensities in Large-Scale MRI-Studies.Frontiers in neurology · 2019Pooled it
- Threshold Effects, Cognitive Decline, and Longitudinal Changes in White Matter Hyperintensity Volume.Stroke · 2026Article
- Impact of white matter hyperintensities on cognitive, motor and functional recovery in veterans following acute/subacute stroke: a prospective study.BMJ neurology open · 2026Article
- Threshold Effects, Cognitive Decline, and Longitudinal Changes in White Matter Hyperintensity Volume.medRxiv : the preprint server for health sciences · 2025Article
- Performance of the digital trail making test in older adults with white matter lesions.Frontiers in human neuroscience · 2025Article
- Association of the Brain White Matter Hyperintensity with the Cognitive Performance in Middle-Aged Population.Cerebrovascular diseases (Basel, Switzerland) · 2025Article
- Episodes of acute methotrexate-related neurotoxicity linked to compromised long-term neurocognitive function.Pediatric blood & cancer · 2024Article
- Impact of long-term white matter hyperintensity changes on mobility and dexterity.Brain communications · 2024Article
- Microstructural Organization of Distributed White Matter Associated With Fine Motor Control in US Service Members With Mild Traumatic Brain Injury.Journal of neurotrauma · 2024Article
- Fine Motor Skill Decline After Brain Radiation Therapy-A Multivariate Normal Tissue Complication Probability Study of a Prospective Trial.International journal of radiation oncology, biology, physics · 2023Article
- Association of Motor Function With Cognitive Trajectories and Structural Brain Differences: A Community-Based Cohort Study.Neurology · 2023Article
- Association of Vascular Properties With the Brain White Matter Hyperintensity in Middle-Aged Population.Journal of the American Heart Association · 2022Article
- MTT and Blood-Brain Barrier Disruption within Asymptomatic Vascular WM Lesions.AJNR. American journal of neuroradiology · 2021Article
- What does hand motor function tell us about our aging brain in association with WMH?Aging clinical and experimental research · 2021Article
- White Matter Injury Is Associated with Reduced Manual Dexterity and Elevated Serum Ceramides in Subjects with Cerebral Small Vessel Disease.Cerebrovascular diseases (Basel, Switzerland) · 2021Article
- Cerebral Small-Vessel Disease in Individuals with a Family History of Coronary Heart Disease: The Atherosclerosis Risk in Communities Study.Neuroepidemiology · 2021Article
- Disrupted white matter integrity and network connectivity are related to poor motor performance.Scientific reports · 2020Article
- Relationship Between Brain Arterial Pathology and Neurocognitive Performance Among Individuals With Human Immunodeficiency Virus.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019Article
- Effects of tDCS of Dorsolateral Prefrontal Cortex on Dual-Task Performance Involving Manual Dexterity and Cognitive Task in Healthy Older Adults.Frontiers in aging neuroscience · 2019Article
- Hypertension Is Associated with White Matter Disruption in Apparently Healthy Middle-Aged Individuals.AJNR. American journal of neuroradiology · 2018Article
Corrections and comments
- Commented on by
Authors and funding
11 authors at 1 institution in 1 country.
Paul A NyquistFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD. pnyquis1@jhmi.edu.
Lisa R YanekFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
Murat BilgelFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
Jennifer L CuzzocreoFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
Lewis C BeckerFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
Karinne Chevalier-DavisFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
David YousemFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
Jerry PrinceFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
Brian G KralFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
Dhananjay VaidyaFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
Diane M BeckerFrom the Departments of Neurology (P.A.N.), Anesthesiology and Critical Care Medicine (P.A.N.), and Neurosurgery (P.A.N.), and Department of Medicine, Division of General Internal Medicine (L.R.Y., L.C.B., K.C.-D., B.G.K., D.V., D.M.B.), GeneSTAR Research Program; Department of Biomedical Engineering (M.B., J.L.C., J.P.), Johns Hopkins School of Medicine; and Department of Medicine, Division of Cardiology (L.C.B., B.G.K.), and Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology (D.Y.), The Johns Hopkins Medical Institutions, Baltimore, MD.
Johns Hopkins University · US
Funding
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1MFunctional Genomics of Platelet Aggregation Using iPS and Derived MegakaryocytesU01HL107446 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BECKER, LEWIS C, CHENG, LINZHAO · 2011 to 2015
$8.8MA Family-based Exome Sequencing Approach to Identify Platelet Aggregation GenesR01HL112064 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MATHIAS, RASIKA ANN · 2012 to 2015
$5.1MCommunity Exercise and Metabolic Syndrome in Black FamiliesR01HL089474 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BECKER, DIANE M. · 2008 to 2012
$4.3MGENOMIC SCAN FOR ATHEROSCLEROSIS PATHWAY GENES IN AFRICAN-AMERICANS FROM FHS-SCANR01HL088215 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2008 to 2011
$3.0MOccult Small Vessel Cerebrovascular Disease in High Risk FamiliesR01NS062059 · NINDS · JOHNS HOPKINS UNIVERSITY · PI NYQUIST, PAUL ALAN · 2009 to 2013
$3.0MPatient Navigators: Secondary Prevention in Underserved Coronary Disease PatientsR01NR010021 · NINR · JOHNS HOPKINS UNIVERSITY · PI BECKER, DIANE M. · 2007 to 2011
$3.0MAutomatic Cerebellar MRI Labeling In Health and DiseaseR01NS056307 · NINDS · JOHNS HOPKINS UNIVERSITY · PI PRINCE, JERRY L · 2006 to 2015
$3.0MGenetic Determinants of Premature Vascular Dysfunction in FamiliesR01HL092165 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI VAIDYA, DHANANJAY MADHUKAR · 2009 to 2013
$2.7MPredictors of Speech Quality after Tongue Cancer SurgeryR01CA133015 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI STONE, MAUREEN · 2009 to 2013
$2.5MBrain Image Analysis Tools for Quantitative Longitudinal Assessment of MSR01NS070906 · NINDS · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI PHAM, DZUNG L · 2010 to 2014
$1.7MNovel Technologies to Identify Preclinical Coronary Disease in High Risk FamiliesRC1HL099747 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BECKER, LEWIS C · 2009 to 2010
$1.0MNCATS NIH HHS UL1 TR001079NCI NIH HHS R01 CA133015NEI NIH HHS R21 EY022150NHLBI NIH HHS R01 HL088215NHLBI NIH HHS R01 HL089474NHLBI NIH HHS R01 HL092165NHLBI NIH HHS R01 HL112064NHLBI NIH HHS RC1 HL099747NHLBI NIH HHS U01 HL107446NIBIB NIH HHS R21 EB012765NINDS NIH HHS R01 NS056307NINDS NIH HHS R01 NS062059NINDS NIH HHS R01NS062059-01NINDS NIH HHS R01 NS070906NINDS NIH HHS R21 NS082891NINR NIH HHS R01 NR010021
Abstract
objectivesWe hypothesized that integrated motor-visual functions measured by manipulative manual dexterity are affected by white matter lesion (WML) burden as measured on cranial MRI across relevant brain regions in subjects at risk of preclinical occult vascular disease.
methodsA real-time cross-sectional study of healthy subjects aged 29 to 74 years with a family history of early-onset coronary artery disease (n = 714; mean age, 51 ± 11 years; mean education, 14 ± 3 years; 42% male; 38% black) were identified from probands with coronary artery disease diagnosed before age 60 years. WMLs on 3-tesla brain MRI and Grooved Pegboard scores were measured.
resultsWMLs were observed at all ages. Mean pegboard scores were 108 ± 18, similar to normal populations. In unadjusted analysis, WMLs and pegboard scores were significantly correlated by region (total WMLs, r = 0.34, p = 0.0001; frontal [r = 0.34, p < 0.0001], insula [r = 0.31, p < 0.0001], parietal [r = 0.31, p < 0.0001], and temporal [r = 0.17, p < 0.0001]). In multivariate analysis predicting (log) pegboard score adjusted for age, sex, race, education, regional or total volumes, and familial non-independence, total WML volume (p = 5.79E - 05) and regional WML volumes (p < 0.01) retained statistical significance in all but the youngest age quartile (29-43 years).
conclusionsGreater WML volumes in different brain regions are associated with higher pegboard scores (worse performance) independent of age, sex, race, education, and total or regional volumes. This suggests that small vessel cerebrovascular disease may be present in healthy individuals in a preclinical state with measurable impact on complex integrative functions in individuals with excess risk of clinical vascular disease.
Indexed as
Psychomotor PerformanceAdultAgedCerebrovascular DisordersCoronary Artery DiseaseFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMovement DisordersNerve Fibers, MyelinatedReference ValuesReproducibility of ResultsSensitivity and Specificity
Identifiers
What OpenQuestion holds
Textmetadata
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.