Evidence map›Paper›PMID 38391749›Full record

ArticleBrain sciences2024

Distinct Effects of Brain Activation Using tDCS and Observational Practice: Implications for Motor Rehabilitation.

Julianne McLeod, Anuj Chavan, Harvey Lee, Sahar Sattari, Simrut Kurry, Miku Wake, Zia Janmohamed, Nicola Jane Hodges, Naznin Virji-Babul

Open access · goldAbstract read
In one paragraph

Article in Brain 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% of its field
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, 0 citations in OpenAlex.

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

9 authors at 4 institutions in 1 country.

Julianne McLeodRehabilitation Science, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
Anuj ChavanElectronics and Telecommunication Engineering, Sardar Patel Institute of Technology, Mumbai 400058, India.ORCID 0009-0000-5366-1249
Harvey LeeSchulich School of Medicine & Dentistry, Western University, London, ON N6A 5C1, Canada.
Sahar SattariBiomedical Engineering, Faculty of Applied Science and Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 2B9, Canada.
Simrut KurryNeuroscience, Faculty of Science, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
Miku WakeNeuroscience, Faculty of Science, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
Zia JanmohamedNeuroscience, Faculty of Science, McGill University, Montreal, QC H3A 2B4, Canada.
Nicola Jane HodgesSchool of Kinesiology, Faculty of Education, University of British Columbia, Vancouver, BC V6T 1Z1, Canada.ORCID 0000-0003-3899-8550
Naznin Virji-BabulPhysical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
University of British Columbia · CAMcGill University · CAVancouver Coastal Health · CAWestern University · CA

Funding

University of British Columbia Internal grant
6 · The paper itself

Abstract

Complex motor skills can be acquired while observing a model without physical practice. Transcranial direct-current stimulation (tDCS) applied to the primary motor cortex (M1) also facilitates motor learning. However, the effectiveness of observational practice for bimanual coordination skills is debated. We compared the behavioural and brain causal connectivity patterns following three interventions: primary motor cortex stimulation (M1-tDCS), action-observation (AO) and a combined group (AO+M1-tDCS) when acquiring a bimanual, two-ball juggling skill. Thirty healthy young adults with no juggling experience were randomly assigned to either video observation of a skilled juggler, anodal M1-tDCS or video observation combined with M1-tDCS. Thirty trials of juggling were performed and scored after the intervention. Resting-state EEG data were collected before and after the intervention. Information flow rate was applied to EEG source data to measure causal connectivity. The two observation groups were more accurate than the tDCS alone group. In the AO condition, there was strong information exchange from (L) parietal to (R) parietal regions, strong bidirectional information exchange between (R) parietal and (R) occipital regions and an extensive network of activity that was (L) lateralized. The M1-tDCS condition was characterized by bilateral long-range connections with the strongest information exchange from the (R) occipital region to the (R) temporal and (L) occipital regions. AO+M1-tDCS induced strong bidirectional information exchange in occipital and temporal regions in both hemispheres. Uniquely, it was the only condition that was characterized by information exchange between the (R) frontal and central regions. This study provides new results about the distinct network dynamics of stimulating the brain for skill acquisition, providing insights for motor rehabilitation.

Indexed as

action observationeffective connectivityelectroencephalogrammotor skill acquisitionobservational learningtranscranial direct-current stimulation

Identifiers

PMID38391749
PMCPMC10886768
OpenAlexW4391822497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.