title: Network dysfunction in Alzheimer's disease and frontotemporal dementia: implications for psychiatry.
abstract: Structural and functional connectivity methods are changing how researchers conceptualize and explore neuropsychiatric disease. Here, we summarize emerging evidence of large-scale network dysfunction in Alzheimer's disease and behavioral variant frontotemporal dementia, focusing on the divergent impact these disorders have on the default mode network and the salience network. We update a working model for understanding the functions of these networks within a broader anatomical context and highlight the relevance of this model for understanding psychiatric illness. Finally, we look ahead to persistent challenges in the application of network-based imaging methods to patients with Alzheimer's disease, behavioral variant frontotemporal dementia, and other neuropsychiatric conditions. Recent advances and persistent needs are discussed, with an eye toward anticipating the hurdles that must be overcome for a network-based framework to clarify the biology of psychiatric illness and aid in the drug discovery process.
authors.affiliation: Center for Cognitive Neuroscience, Neuroscience and Behavior Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore.
authors.forename: Juan
authors.initials: J
authors.lastname: Zhou
authors.affiliation: Memory and Aging Center, Department of Neurology, University of California at San Francisco, San Franciso, California. Electronic address: wseeley@memory.ucsf.edu.
authors.forename: William W
authors.initials: WW
authors.lastname: Seeley
mesh_terms: D000544:Alzheimer Disease / Q000503:physiopathology*; D001921:Brain / Q000503:physiopathology*; D057180:Frontotemporal Dementia / Q000503:physiopathology*; D006801:Humans; D009415:Nerve Net / Q000503:physiopathology*
keywords: Alzheimer’s disease; biomarker; connectome; frontotemporal dementia; network; psychiatric disorders