Visual scanpath training to emotional faces following severe traumatic brain injury: A single case design
Autor: | Jacinta Douglas, Suzane Vassallo |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
scanpath genetic structures Traumatic brain injury emotion Single-subject design Stimulus (physiology) Attentional bias gaze eye tracking Physical medicine and rehabilitation Intervention (counseling) medicine facial expression Uncategorized Facial expression traumatic brain injury QM1-695 medicine.disease area of interest Gaze Sensory Systems attention Ophthalmology eye movements visual attention Human anatomy 1113 Opthalmology and Optometry 1702 Cognitive Sciences Eye tracking Psychology facial expression recognition training Research Article |
Zdroj: | Journal of Eye Movement Research; Bd. 14 Nr. 4 (2021) Journal of Eye Movement Research; Vol. 14 No. 4 (2021) Journal of Eye Movement Research Journal of Eye Movement Research, Vol 14, Iss 4 (2021) |
ISSN: | 1995-8692 |
Popis: | The visual scanpath to emotional facial expressions was recorded in BR, a 35-year-old male with chronic severe traumatic brain injury (TBI), both before and after he underwent intervention. The novel intervention paradigm combined visual scanpath training with verbal feedback and was implemented over a 3-month period using a single case design (AB) with one follow up session. At baseline BR’s scanpath was restricted, characterised by gaze allocation primarily to salient facial features on the right side of the face stimulus. Following intervention his visual scanpath became more lateralised, although he continued to demonstrate an attentional bias to the right side of the face stimulus. This study is the first to demonstrate change in both the pattern and the position of the visual scanpath to emotional faces following intervention in a person with chronic severe TBI. In addition, these findings extend upon our previous work to suggest that modification of the visual scanpath through targeted facial feature training can support improved facial recognition performance in a person with severe TBI. |
Databáze: | OpenAIRE |
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