[en] Executive function (EF) consists of higher level cognitive processes including working memory, cognitive flexibility, and inhibition which together enable goal-directed behaviors. Many neurological disorders are associated with EF dysfunctions which can lead to suboptimal behavior. To assess the roles of these processes, we introduce a novel behavioral task and modeling approach. The gamble-like task, with sub-tasks targeting different EF capabilities, allows for quantitative assessment of the main components of EF. We demonstrate that human participants exhibit dissociable variability in the component processes of EF. These results will allow us to map behavioral outcomes to EEG recordings in future work in order to map brain networks associated with EF deficits. Clinical relevance- This work will allow us to quantify EF deficits and corresponding brain activity in patient populations in future work.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Dorman, Daniel B; Johns Hopkins University,Department of Biomedical Engineering,Baltimore,MD,USA,21218
Sampson, Aaron L; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University,Department of Neuroscience,Baltimore,MD,USA,21218
Sacré, Pierre ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Robotique intelligente ; University of Liè,ge,Department of Electrical Engineering and Computer Science,Liè,ge,Belgium,4000
Stuphorn, Veit; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University,Department of Neuroscience,Baltimore,MD,USA,21218
Niebur, Ernst; Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University,Department of Neuroscience,Baltimore,MD,USA,21218
Sarma, Sridevi V; Johns Hopkins University,Department of Biomedical Engineering,Baltimore,MD,USA,21218
Language :
English
Title :
Decomposing Executive Function into Distinct Processes Underlying Human Decision Making.
Publication date :
July 2022
Journal title :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
