000			02722 a2200217 4500
005			20190114145305.0
008			190108b xxu||||| |||| 00| 0 eng d
020			_a9780128138380
040			_cIIT Kanpur
041			_aeng
082			_a612.8 _bC762
245			_aConnectomics _bapplications to neuroimaging _cedited by Brent C. Munsell ...[et al.]
260			_bAcademic Press _c2019 _aLondon
300			_ax, 223p
520			_aConnectomics: Applications to Neuroimaging is unique in presenting the frontier of neuro-applications using brain connectomics techniques. The book describes state-of-the-art research that applies brain connectivity analysis techniques to a broad range of neurological and psychiatric disorders (Alzheimer’s, epilepsy, stroke, autism, Parkinson’s, drug or alcohol addiction, depression, bipolar, and schizophrenia), brain fingerprint applications, speech-language assessments, and cognitive assessment. With this book the reader will learn: Basic mathematical principles underlying connectomics How connectomics is applied to a wide range of neuro-applications What is the future direction of connectomics techniques. This book is an ideal reference for researchers and graduate students in computer science, data science, computational neuroscience, computational physics, or mathematics who need to understand how computational models derived from brain connectivity data are being used in clinical applications, as well as neuroscientists and medical researchers wanting an overview of the technical methods. Features: Combines connectomics methods with relevant and interesting neuro-applications Covers most of the hot topics in neuroscience and clinical areas Appeals to researchers in a wide range of disciplines: computer science, engineering, data science, mathematics, computational physics, computational neuroscience, as well as neuroscience, and medical researchers interested in the technical methods of connectomics Combines connectomics methods with relevant and interesting neuro-applications Presents information that will appeal to researchers in a wide range of disciplines, including computer science, engineering, data science, mathematics, computational physics, computational neuroscience, and more Includes a mathematics primer that formulates connectomics from an applied point-of-view, thus avoiding difficult to understand theoretical perspective Lists publicly available neuro-imaging datasets that can be used to construct structural and functional connectomes
700			_aMunsell, Brent C. [ed.]
700			_aWu, Guorong [ed.]
700			_aBonilha, Leonardo [ed.]
700			_aLaurienti, Paul J. [ed.]
942			_cBK
999			_c559955 _d559955