Behavioural and Neurophysiological Effects of a Stroke Rehabilitation Program on Emotional Processing in Tuberothalamic Infarct—Case Study
Bibliographic record
Abstract
The aim of the study was to assess the neurophysiological and behavioural effects of a stroke rehabilitation involving Treatment As Usual (TAU) combined with Social Cognitive Training (SCT) in a right-handed patient suffered from tuberothalamic infarct compared to healthy controls (HCs) (n = 13). Methods: Both HCs and the patient were assessed by means of the following measures: Penn Emotion Perception Battery (ER40, EmoDiff40, PEAT40, PFMT), Reading the Mind in the Eyes Test, and Toronto Alexithymia Scale alongside clinical scales (Mini Mental State Examination, The State-Trait Anxiety Inventory, and Hamilton Depression Scale). The SCT was delivered individually for 60 minutes weekly in a 12-week program (12 sessions). The subject participated twice in a fMRI scanning session including the event-related task of implicit processing of 100% fearful expressions to detect physiological changes after TAU plus SCT and compared them with HCS who underwent the same assessment once. Results: Compared with HCs, the patient before therapy revealed lower scores in emotion recognition; particularly perception of anger was affected alongside worse performance on both emotion discrimination and acuity tests. After therapy, B.D. showed improvement in emotional processing. B.D. had less post-therapy activation maps compared with pretherapy ones and more significantly activated pre-and post-central gyrus and right cerebellum in response to fearful faces. Interestingly, no amygdala was significantly activated as the response to fearful stimuli before or after therapy was completed. Conclusions: Further research was needed to increase understanding about efficacy of SCT and the theory of neuroplasticity, thus helping rehabilitation programs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".