Evidence map›Paper›PMID 42818909›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Cortical Network Reorganization During Balance Control in Chronic Stroke: Premotor-Parietal Behavioral Uncoupling and Directional Prefrontal Compensation.

Komal K Kukkar, Tina M Pham, Humza A Mirza, Sheng Li, Pranav J Parikh

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

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

5 authors.

Komal K KukkarCenter for Neuromotor and Biomechanics Research, Department of Health and Human Performance, University of Houston, Houston, Texas.
Tina M PhamCenter for Neuromotor and Biomechanics Research, Department of Health and Human Performance, University of Houston, Houston, Texas.
Humza A MirzaCenter for Neuromotor and Biomechanics Research, Department of Health and Human Performance, University of Houston, Houston, Texas.
Sheng LiDepartment of Physical Medicine and Rehabilitation, University of Texas Health Science Center - Houston, Houston, Texas.
Pranav J ParikhCenter for Neuromotor and Biomechanics Research, Department of Health and Human Performance, University of Houston, Houston, Texas.

Funding

Techniques DevelopmentP2CHD086844 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GEORGE, MARK S · 2015 to 2024
$12.7M
Neuromotor Skill Advancement for Post baccalaureatesR25HD106896 · NICHD · UNIVERSITY OF HOUSTON · PI Jose Luis Contreras-Vidal, Pranav J Parikh · 2022 to 2026
$768k
NICHD NIH HHS P2C HD086844NICHD NIH HHS R25 HD106896
6 · The paper itself

Abstract

Background: Balance control is essential for independence in activities of daily living, and its impairment is a leading contributor to falls in stroke survivors. Stroke-induced brain reorganization alters cortical activation patterns; however, localized changes do not reveal the underlying network dynamics critical for the exchange of task-related information. How stroke affects balance-related cortical network dynamics remains unclear. Methods: We studied cortical functional connectivity during a challenging balance task in fifteen chronic stroke survivors and fifteen age- and gender-matched healthy adults. Whole-head electroencephalography (EEG) was recorded while participants performed a balance sway-referenced task. Balance-related cortical sources were localized to the supplementary motor area/premotor area (SMA-PM), posterior cingulate cortex (PCC), and bilateral lateral prefrontal cortex (LPFC). Directed task-related functional connectivity was estimated across multiple frequency bands. Results: Stroke participants demonstrated elevated gamma-band SMA-PM to PCC connectivity, ipsilesional LPFC to SMA-PM connectivity, and SMA-PM to contralesional LPFC connectivity compared to healthy participants. Stroke participants also showed poorer performance on both the clinical Berg Balance Scale (BBS) and the laboratory-based balance task. Stronger SMA-PM to contralesional LPFC connectivity, but not SMA-PM to PCC connectivity, was associated with better BBS scores in stroke survivors. Conclusions: These findings suggest less reliable SMA-PM to PCC sensorimotor pathways and a compensatory recruitment of SMA-PM to contralesional LPFC pathway for the control of balance post-stroke. Cortical network reorganization after stroke leads to directional connectivity changes adaptive to functional needs, with implications for designing targeted interventions to reduce fall risk in stroke survivors.

Indexed as

cortexdynamicsEEGFallsnetwork

Identifiers

PMID42818909
PMCPMC13622765

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.