Therapeutic Effect of Multi-Channel Transcranial Direct Current Stimulation (M-tDCS) on Recovery of Cognitive Domains, Motor Functions of Paretic Hand and Gait in Subacute Stroke Survivors-A Randomized Controlled Trial Protocol
Bibliographic record
Abstract
Background: There has been rapid drift of rehabilitation professionals toward the clinical use of technology aided electrical interventions. Brain is a cortical hub of functionally related neural connections. Motor learning entails strong interaction with the cognitive domains. So better outcomes may be expected by optimally targeting functionally correlated areas simultaneously through tDCS. Aim: To determine the therapeutic effect of Multi Channel tDCS in combination with Functional electrical stimulation, SaeboFlex and conventional rehabilitation on recovery of Cognitive Domains, Motor Functions of Paretic Hand, and Gait in individuals with subacute Stroke. Methods: This is prospective, randomized, double blind controlled clinical trial. Subacute Stroke Survivors with the age Group (40-75 years) will constitute the Population of the study. Participants will be randomly allocated to experimental or control group. Participants of Experimental group will receive Multi channel tDCS, Functional electrical stimulation, Saebo Flex Training and conventional rehabilitation. Participants of the group B will receive FES, training with SaeboFlex, conventional physiotherapy intervention similar to as given to the participants of group A and sham multi channel tDCS. Outcome Measures: The primary outcome measures of the study will be Fugl Meyer assessment, Electroencephalogram and secondary outcome measures of the study will be Grip strength, Pinch strength, Nine hole peg test( NHPT), Wisconsin gait scale, Montreal cognitive assessment, Electroencephaloraphy to observe the cortical changes and tDCS adverse effect questionnaire and stroke specific quality of Life scale. Statistical Analysis: The primary analysis of the study will be done at the end of 4 weeks. Statistical analysis of data will be done using SPSS Version 22 with the help of a statistician. Conclusion: An insight into the therapeutic interventions augmenting, cognitive and motor domains simultaneously may yield better outcomes in the field of stroke rehabilitation thereby improving quality of life of stroke survivors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".