03651nam 2200565 450 991013752970332120230621141340.09782889194353 (ebook)(CKB)3710000000569681(SSID)ssj0001680177(PQKBManifestationID)16496152(PQKBTitleCode)TC0001680177(PQKBWorkID)15028289(PQKB)10833199(WaSeSS)IndRDA00056077(oapen)https://directory.doabooks.org/handle/20.500.12854/52566(EXLCZ)99371000000056968120160829d2015 uy 0engur||#||||||||txtrdacontentcrdamediacrrdacarrierMagnetic resonance imaging of healthy and diseased brain networks /topic editors: Yong He and Alan EvansFrontiers Media SA2015Switzerland :Frontiers Media SA,20151 online resource (365 pages) illustrations; digital, PDF file(s)Frontiers Research TopicsBibliographic Level Mode of Issuance: MonographIncludes bibliographical references.An important aspect of neuroscience is to characterize the underlying connectivity patterns of the human brain. Over the past few years, researchers have demonstrated that by combining a variety of different neuroimaging technologies (e.g., structural MRI, diffusion MRI and functional MRI) with sophisticated analytic strategies such as graph theory, it is possible to non-invasively map the patterns of structural and functional connectivity of human whole-brain networks. With these novel approaches, many studies have shown that human brain networks have non-random properties such as modularity, small-worldness and highly connected hubs. Importantly, these quantifiable network properties change with age, learning and disease. Moreover, there is growing evidence for behavioral and genetic correlates. Network analysis of neuroimaging data is opening up a new avenue of research into the understanding of the organizational principles of the brain that will be of interest for all basic scientists and clinical researchers. Such approaches are powerful but there are a number of challenging issues when extracting reliable brain networks from various imaging modalities and analyzing the topological properties, e.g., definitions of network nodes and edges and reproducibility of network analysis. We welcome contributions related to the state-of-the-art methodologies of brain connectivity and the applications involving development, aging and neuropsychiatric disorders such as Alzheimer’s disease, schizophrenia, attention deficit hyperactivity disorder and mood and anxiety disorders. It is anticipated that the articles in this Research Topic will provide a greater range and depth of provision for the field of imaging brain networks.Radiology, MRI, Ultrasonography & Medical PhysicsHILCCMedicineHILCCHealth & Biological SciencesHILCCconnectomicsconnectivitygraph theoryMRISmall-worldRadiology, MRI, Ultrasonography & Medical PhysicsMedicineHealth & Biological SciencesYong Heauth1365346He YongEvans AlanPQKBUkMaJRU9910137529703321Magnetic resonance imaging of healthy and diseased brain networks3387155UNINA