Connectomics

Autor/en: Brent C. (Hrsg.) Munsell
Applications to Neuroimaging
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Connectomics: 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
ISBN: 978-0-12-813838-0
GTIN: 9780128138380
AutorMunsell, Brent C. (Hrsg.) / Wu Guorong (Hrsg.) / Bonilha, Leonardo (Hrsg.) / Laurienti, Paul (Hrsg.)
VerlagElsevier
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2018
Seitenangabe233 S.
AusgabekennzeichenEnglisch
MasseH23.5 cm x B19.1 cm 630 g
ReiheThe MICCAI Society book Series

Alle Bände der Reihe "The MICCAI Society book Series"

Über den Autor Brent C. (Hrsg.) Munsell

Brent C. Munsell is an Assistant Professor in the Department of Computer Science at the College of Charleston, US. He received a Ph.D. degree in Computer Science and Engineering from the University of South Carolina, a Masters degree in Electrical Engineering from Clemson University, and a B.S. degree in Electrical Engineering from Michigan State University. Dr. Munsell's research aims to develop computational tools that draw inferences from biomedical imaging data, particular in the context of brain connectivity and network analysis. He is interested in medical image analysis, machine learning, and computer vision. Dr. Munsell has published papers in several top journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging, International Journal of Computer Vision and NeuroImage, and is actively working on structural and functional connectivity research projects that will allow clinicians to diagnose children who may have an Autism spectrum disorder before the age of two years old.

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