decision-making; machine learning; middle temporal gyrus; neural data; Decisions makings; Machine-learning; Middle temporal gyrus; Neural correlate; Neural data; Random forest classifier; Semantic processing; Temporal gyrus; Visual information; Visual processing stream; Computer Science Applications; Information Systems; Control and Optimization; Artificial Intelligence; Signal Processing; Modeling and Simulation
Abstract :
[en] The ability to make good decisions is contingent upon extracting the most relevant information from one's contextual surroundings. The middle temporal gyrus lies at the nexus of visual processing streams and is hypothesized to play a crucial role in the semantic processing of visual information. In this study, stereoelectroencephalography measurements from the middle temporal gyrus were used to train random forest classifiers to decode betting behavior in a financial-decision making task for 10 subjects. Spectral features from the middle temporal gyrus were computed. The performance of these subject-specific classifiers ranged between 75% and 98% accuracy when predicting human betting behavior and provide evidence that the middle temporal gyrus encodes information related to decision-making. This study is the first to use stereoelectroencephalography to explore the functionality of the middle temporal gyrus in decision-making.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Wang, Daniel; Johns Hopkins University, Department of Biomedical Engineering, Baltimore, United States
Sarma, Sridevi V.; Johns Hopkins University, Department of Biomedical Engineering, Baltimore, United States
Sampson, Aaron L.; Johns Hopkins University, Zanvyl Krieger Mind/Brain Institute, Department of Neuroscience, Baltimore, United States
Stuphorn, Veit; Johns Hopkins University, Zanvyl Krieger Mind/Brain Institute, Department of Neuroscience, Baltimore, United States
Niebur, Ernst; Johns Hopkins University, Zanvyl Krieger Mind/Brain Institute, Department of Neuroscience, Baltimore, United States
Sacré, Pierre ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Gonzalez-Martinez, Jorge; University of Pittsburgh, Department of Neurological Surgery, Pittsburgh, United States
Dorman, Daniel B.; Hope College, Department of Neuroscience, Holland, United States
Language :
English
Title :
Neural correlates from the middle temporal gyrus via machine learning decode decision making variables during gambling in humans
Publication date :
2025
Event name :
2025 59th Annual Conference on Information Sciences and Systems (CISS)
Event place :
Baltimore, Usa
Event date :
19-03-2025 => 21-03-2025
Main work title :
2025 59th Annual Conference on Information Sciences and Systems, CISS 2025
Publisher :
Institute of Electrical and Electronics Engineers Inc.
JHU - Johns Hopkins University IEEE - Institute of Electrical and Electronics Engineers
Funding text :
This work was supported by NIH IRACDA K12GM154720 awarded to D.D., NSF 1835202 awarded to S.V.S., A.S., V.S., E.N. and J.G.M.; CiSS; Department of Electrical and Computer Engineering at the Johns Hopkins University; Johns Hopkins Whiting School of Engineering
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