Brain Network Dysfunction in Neuropsychiatric Illness

Table of Contents

1. Introduction

By Vaibhav A. Diwadkar & Simon B. Eickhoff, Detroit USA & Juelich Germany

A. Methods

2. fMRI: Blood Oxygen Level Dependent Contrast and Its Value for Understanding Functioning Brain

Networks

By Peter Bandettini, Maryland USA

3. Review of Resting-State Functional Connectivity Methods and Application in Clinical Populations

By Bharat Biswal, New Jersey USA4. Directed Interregional Brain Interactions



BY Steven Bressler, Boca Raton USA

5. Meta-analytic connectivity modelling (MACM): A tool for assessing regionspecific functional connectivity patterns in task-constrained states

By Robert Langner & Julia A. Camilleri, Dusseldorf Germany

6. dMRI: Diffusion Magnetic Resonance Imaging as a Window onto Structural Brain Networks and

White Matter Microstructure

By Alard Roebroeck, Maastricht Netherlands

7. Data Mining in the Era of Big Data: The BrainMap Database as a Resource for Characterizing

Psychiatric Illness

By Katherine L. Bottenhorn & Angela R. Laird, Miami USA8. Network modulation in neuropsychiatric disorders using The Virtual Brain



By Andrea B. Protzner, Sora An, & Viktor Jirsa, Calgary Canada & Marseille France

B. Applications

9. Networks-mediated spreading of pathology in neurodegenerative diseases

By Yasser Iturria-Medina & Alan C. Evans, Montreal Canada

10. Resting-State Functional Network Disturbances in Schizophrenia

By Qingbao Yu & Vince D. Calhoun, Albuquerque USA & New Haven USA

11. Disturbed Brain Networks in the Psychosis High-Risk State?

By André Schmidt & Stephan Borgwardt, Basel Switzerland12. Functional Connectivity in Autism Spectrum Disorders: Challenges and Perspectives

Dr. Vaibhav Diwadkar is Professor of Psychiatry & Behavioral Neurosciences at Wayne State University School of Medicine. He received his B.A. in Psychology and Computer Science from Coe College, and his PhD in Psychology and Cognitive Science from Vanderbilt University. Following neuroimaging-related fellowships at Carnegie Mellon University and the University of Pittsburgh, he has served on the faculty of the University of Pittsburgh, and at Wayne State University where he has been since 2005. He uses in vivo neuroimaging to understand mechanisms of brain network function (underlying psychological and physiological processes), publishing in the areas of learning, memory, cognition and sensorimotor function, and thermoregulation. His clinical neuroimaging interests lie in understanding brain network dysfunction in psychiatry, leading to publications on schizophrenia, mood disorders, obsessive compulsive disorder, and borderline personality disorder. His research is supported by the National Institutes of Mental Health, the Children's Research Center of Michigan, the Children's Hospital of Michigan Foundation, the Ethel and James Flinn Foundation, the DMC Foundation, the Cohen Neuroscience Endowment, the Prechter World Bipolar Foundation, the Jack Dorsey Endowment, and the National Alliance for Research on Schizophrenia and Depression (now the Brain and Behavior Research Foundation).




Simon Eickhoff is a full professor and chair of the Institute for Systems Neuroscience at the Heinrich-Heine University in Düsseldorf and the director of the Institute of Neuroscience and Medicine (INM-7, Brain and Behavior) at the Forschungszentrum Jülich. He is furthermore a visiting professor at the Chinese Academy of Science Institute of Automation. Workig at the interface between neuroanatomy, data-science and brain medicine, the he aims to obtain a more detailed characterization of the organization of the human brain and its inter-individual variability