Connectomics: Applications to Neuroimaging

Connectomics: Methods, Mathematical Models and Applications is a unique reference that combines methods in connectomics with neuro- applications. Sections explain the importance of connectomics using brain connectivity maps, summarize connectivity analysis approaches that apply different mathematical modeling techniques, such as linear models with regularization, deep-learning models, and graph models, and describe the state-of-the-art research that applies brain connectivity analysis techniques to a broad range of neurological and psychiatric disorders, including Alzheimer’s, epilepsy, stroke, autism, Parkinson’s, traumatic brain injury, drug or alcohol addiction, depression, bipolar and schizophrenia.Other sections cover brain finger-print applications, speech-language assessments, cognitive assessment, and how the connectome can be used to predict demographic information (such as age, gender, or race).