| Literature DB >> 35884737 |
Laura Carelli1, Federica Solca1, Sofia Tagini2,3, Silvia Torre1, Federico Verde1,4, Nicola Ticozzi1,4, Roberta Ferrucci5,6,7, Gabriella Pravettoni8,9, Edoardo Nicolò Aiello1,10, Vincenzo Silani1,4,5, Barbara Poletti1.
Abstract
Eye movement abnormalities in association with cognitive and emotional deficits have been described in neurological, neurodevelopmental, and psychiatric disorders. Eye-Tracking (ET) techniques could therefore enhance cognitive interventions by contingently providing feedback to patients. Since no consensus has been reached thus far on this approach, this study aimed at systematically reviewing the current evidence. This review was performed and reported according to PRISMA guidelines. Records were searched for in PubMed, Web of Science, and Scopus (1990-2021) through the following string: ('Eye Tracking' OR 'Eye-Tracking' OR 'Oculomotor') AND ('Neuropsychol*' OR 'Cognitive') AND ('Rehabilitation' OR 'Training' OR 'Stimulation'). Study outcomes were thematically classified and qualitatively synthesized. A structured quality assessment was performed. A total of 24 articles were included, addressing neurodevelopmental (preterm infants and children with autism spectrum disorder, Rett syndrome, or ADHD; N = 14), psychiatric (mood and anxiety disorders or alcohol dependence; N = 7), and neurological conditions (stroke; N = 3). Overall, ET gaze-contingent training proved to be effective in improving cognitive and emotional alterations. However, population heterogeneity limits the generalizability of results. ET gaze-contingent protocols allow researchers to directly and dynamically train attentional functions; together with the recruitment of implicit, "bottom-up" strategies, these protocols are promising and possibly integrable with traditional cognitive approaches.Entities:
Keywords: attention; brain disorders; eye-tracking; gaze-contingent training; inhibition
Year: 2022 PMID: 35884737 PMCID: PMC9313363 DOI: 10.3390/brainsci12070931
Source DB: PubMed Journal: Brain Sci ISSN: 2076-3425
Figure 1PRISMA flow-chart displaying study selection process. Diagram adapted from Moher et al., (2009).