title: Functional community analysis of brain: a new approach for EEG-based investigation of the brain pathology.
abstract: Analysis of structure of the brain functional connectivity (SBFC) is a fundamental issue for understanding of the brain cognition as well as the pathology of brain disorders. Analysis of communities among sub-parts of a system is increasingly used for social, ecological, and other networks. This paper presents a new methodology for investigation of the SBFC and understanding of the brain based on graph theory and community pattern analysis of functional connectivity graph of the brain obtained from encephalograms (EEGs). The methodology consists of three main parts: fuzzy synchronization likelihood (FSL), community partitioning, and decisions based on partitions. As an example application, the methodology is applied to analysis of brain of patients with attention deficit/hyperactivity disorder (ADHD) and the problem of discrimination of ADHD EEGs from healthy (non-ADHD) EEGs.
authors.affiliation: Department of Biomedical Engineering, Amirkabir university of Technology, Tehran, Iran.
authors.forename: Mehran
authors.initials: M
authors.lastname: Ahmadlou
authors.forename: Hojjat
authors.initials: H
authors.lastname: Adeli
mesh_terms: D000293:Adolescent; D000465:Algorithms; D001289:Attention Deficit Disorder with Hyperactivity / Q000473:pathology; D001307:Auditory Perception / Q000502:physiology; D001921:Brain / Q000473:pathology*; D001927:Brain Diseases / Q000473:pathology*; D002648:Child; D003344:Cortical Synchronization; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000379:methods* / Q000706:statistics & numerical data; D005071:Evoked Potentials / Q000502:physiology; D005260:Female; D017143:Fuzzy Logic; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D009434:Neural Pathways / Q000473:pathology*; D011597:Psychomotor Performance / Q000502:physiology; D015203:Reproducibility of Results; D014796:Visual Perception / Q000502:physiology