title: Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment.
abstract: Using resting-state functional magnetic resonance imaging (rs-fMRI) to study functional connectivity is of great importance to understand normal development and function as well as a host of neurological and psychiatric disorders. Seed-based analysis is one of the most widely used rs-fMRI analysis methods. Here we describe a freely available large scale functional connectivity data mining software package called Advanced Connectivity Analysis (ACA). ACA enables large-scale seed-based analysis and brain-behavior analysis. It can seamlessly examine a large number of seed regions with minimal user input. ACA has a brain-behavior analysis component to delineate associations among imaging biomarkers and one or more behavioral variables. We demonstrate applications of ACA to rs-fMRI data sets from a study of autism.
authors.affiliation: Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, 22 South Greene Street, Baltimore, MD, 21201, USA. rchen@umm.edu.
authors.forename: Rong
authors.initials: R
authors.lastname: Chen
authors.affiliation: Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, 22 South Greene Street, Baltimore, MD, 21201, USA.
authors.forename: Erika
authors.initials: E
authors.lastname: Nixon
authors.affiliation: Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, 22 South Greene Street, Baltimore, MD, 21201, USA.
authors.forename: Edward
authors.initials: E
authors.lastname: Herskovits
mesh_terms: D000293:Adolescent; D000704:Analysis of Variance; D000067877:Autism Spectrum Disorder / Q000473:pathology; D001519:Behavior; D015415:Biomarkers / Q000378:metabolism; D001921:Brain / Q000033:anatomy & histology / Q000000981:diagnostic imaging* / Q000473:pathology; D001931:Brain Mapping; D002648:Child; D057225:Data Mining / Q000706:statistics & numerical data*; D005260:Female; D007839:Functional Laterality; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D009434:Neural Pathways / Q000033:anatomy & histology / Q000000981:diagnostic imaging*; D010100:Oxygen / Q000097:blood
chemical_list: D015415:Biomarkers; D010100:Oxygen
keywords: Brain-behavior analysis; Functional magnetic resonance imaging; Resting-state; Seed-based analysis; Software