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Record W4408780693 · doi:10.3390/brainsci15040330

Enhancing Neuroplasticity Post Stroke: The Role of Cognitive–Behavioral Training

2025· article· en· W4408780693 on OpenAlexaboutno aff
Mohamed Moursy, Abdulalim A. Atteya, Hoda M. Zakaria, Zizi M. Ibrahim, Olfat Ibrahim Ali, Nouf H. Alkhamees, Mye A. Basheer, Noura A. Elkafrawy

Bibliographic record

VenueBrain Sciences · 2025
Typearticle
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsnot available
Fundersnot available
KeywordsNeuroplasticityCognitive trainingStroke (engine)CognitionPsychologyPhysical medicine and rehabilitationNeuroscienceTraining (meteorology)Medicine

Abstract

fetched live from OpenAlex

Background: Stroke is a primary cause of adult disability and often causes cognitive impairment. Rehabilitation interventions aim to enhance patients’ cognitive abilities, thereby addressing care needs, improving quality of life, and optimizing performance in compromised functions. Objective: To evaluate the impact of incorporating cognitive–behavioral training (CBT) into a selected exercise program on cortical reorganization and cognitive recovery in post-stroke patients. Methods: Thirty post-stroke patients of both sexes (27 male and 3 female) aged from 40 to 65 years were randomly divided into two groups: the study group (n = 15) received CBT combined with a selected exercise program including weight-bearing, balance, and aerobic exercises, while the control group (n = 15) underwent the selected exercise program only. All participants engaged in an 8-week intervention with three sessions per week. Cortical reorganization was measured using quantitative electroencephalography (QEEG) at electrode sites F3, F4, T5, and T6, and cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and RehaCom, focusing on memory, attention, concentration, logical reasoning, and reaction behavior. Assessments were carried out for all patients before and after the 8-week treatment program. Results: Improvements were assessed through three key measures: QEEG, the MoCA, and RehaCom. Post-intervention, the study group demonstrated a significantly higher (alpha + beta)/(delta + theta) ratio at F3, F4, T5, and T6 (p < 0.01), indicative of enhanced cortical reorganization. MoCA scores increased by 16.98% in the study group compared to 7.40% in the control group (p < 0.01). Additionally, RehaCom assessments revealed marked improvements in memory, attention, logical reasoning, and reaction behavior in the study group (p < 0.01). Conclusions: Integrating cognitive–behavioral training with a selected exercise program significantly enhances cortical reorganization and cognitive recovery in post-stroke patients. These findings suggest that adding CBT to rehabilitation protocols can effectively address deficits in memory and attention, ultimately improving functional outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.366
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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