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).

Combines connectomics methods with relevant and interesting neuro-applicationsPresents 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 perspectiveLists publicly available neuro-imaging datasets that can be used to construct structural and functional connectomes

1. Autism Spectrum Disorders: Unbiased Functional Connectomics Provide New Insights into a Multifaceted Neurodevelopmental Disorder
2. Insights Into Cognition from Network Science Analyses of Human Brain Functional Connectivity:Working Memory as a Test Case
3. Overlapping and Dynamic Networks of the Emotional Brain
4. The Uniqueness of the Individual Functional Connectome
5. Dysfunctional Brain Network Organization in Neurodevelopmental Disorders
6. Addiction: Informing Drug Abuse Interventions with Brain Networks
7. Connectivity and Dysconnectivity: A Brief History of Functional Connectivity Research in Schizophrenia and Future Directions
8. Genetics of Brain Networks and Connectivity
9. Characterizing Dynamic Functional Connectivity Using Data-Driven Approaches and its Application in the Diagnosis of Alzheimer’s Disease
10. Toward a more Integrative Cognitive Neuroscience of Episodic Memory