Cassule, M.A.S.; Carreiro, L.R.; Silva, L.A. Discovery of Attention Deficit Hyperactivity Disorder Spectrum Using Community Detection. Preprints2023, 2023061211. https://doi.org/10.20944/preprints202306.1211.v1
APA Style
Cassule, M.A.S., Carreiro, L.R., & Silva, L.A. (2023). Discovery of Attention Deficit Hyperactivity Disorder Spectrum Using Community Detection. Preprints. https://doi.org/10.20944/preprints202306.1211.v1
Chicago/Turabian Style
Cassule, M.A.S., Luis Renato Carreiro and Leandro Augusto Silva. 2023 "Discovery of Attention Deficit Hyperactivity Disorder Spectrum Using Community Detection" Preprints. https://doi.org/10.20944/preprints202306.1211.v1
Abstract
Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects attention and behavioral control, characterized by constant presence of inattention and hyperactivity. This article describes a study that used a database with results from tests of voluntary and automatic attentional orientation activity in a complex network of ADHD patients, in order to understand the characteristics of the elements and attentional variability of patients. Centrality metrics and the Louvain method were applied to obtain the network communities. The most important elements of the network were identified and differences in reaction times of the activities were observed in the identified communities. The study provides useful information to understand of deficit hyperactivity disorder spectrum in patients with ADHD.
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
