ArticleHuman brain mapping2016
Microstructural properties of premotor pathways predict visuomotor performance in chronic stroke.
Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed, 19 citations in OpenAlex.
- Visual feedback alters force control and functional activity in the visuomotor network after stroke.NeuroImage. Clinical · 2018Trial
- Medullary and C3-C4 propriospinal pathways underlying mammalian forelimb movement control.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Altered Functional Connectivity Between Cortical Premotor Areas and the Spinal Cord in Chronic Stroke.Stroke · 2025Article
- Corticospinal premotor fibers facilitate complex motor control after stroke.Annals of clinical and translational neurology · 2024Article
- Frequency specific alterations of the degree centrality in patients with acute basal ganglia ischemic stroke: a resting-state fMRI study.Brain imaging and behavior · 2024Article
- Altered static and dynamic spontaneous neural activity in patients with ischemic pontine stroke.Frontiers in neuroscience · 2023Article
- Relationship between temporal dynamics of intrinsic brain activity and motor function remodeling in patients with acute BGIS.Frontiers in neuroscience · 2023Article
- Altered static and dynamic voxel-mirrored homotopic connectivity in subacute stroke patients: a resting-state fMRI study.Brain imaging and behavior · 2021Article
- Dynamic bimanual force control in chronic stroke: contribution of non-paretic and paretic hands.Experimental brain research · 2019Article
- A Template and Probabilistic Atlas of the Human Sensorimotor Tracts using Diffusion MRI.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- A widespread visually-sensitive functional network relates to symptoms in essential tremor.Brain : a journal of neurology · 2018Article
- Dynamic Alterations in Spontaneous Neural Activity in Multiple Brain Networks in Subacute Stroke Patients: A Resting-State fMRI Study.Frontiers in neuroscience · 2018Article
- Come together: human-avatar on-line interactions boost joint-action performance in apraxic patients.Social cognitive and affective neuroscience · 2017Article
- Free-water and free-water corrected fractional anisotropy in primary and premotor corticospinal tracts in chronic stroke.Human brain mapping · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microstructural properties of the corticospinal tract (CST) descending from the motor cortex predict strength and motor skill in the chronic phase after stroke. Much less is known about the relation between brain microstructure and visuomotor processing after stroke. In this study, individual's poststroke and age-matched controls performed a unimanual force task separately with each hand at three levels of visual gain. We collected diffusion MRI data and used probabilistic tractography algorithms to identify the primary and premotor CSTs. Fractional anisotropy (FA) within each tract was used to predict changes in force variability across different levels of visual gain. Our observations revealed that individuals poststroke reduced force variability with an increase in visual gain, performed the force task with greater variability as compared with controls across all gain levels, and had lower FA in the primary motor and premotor CSTs. Our results also demonstrated that the CST descending from the premotor cortex, rather than the primary motor cortex, best predicted force variability. Together, these findings demonstrate that the microstructural properties of the premotor CST predict visual gain-related changes in force variability in individuals poststroke. Hum Brain Mapp 37:2039-2054, 2016. © 2016 Wiley Periodicals, Inc.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.