title: Bottom up modeling of the connectome: linking structure and function in the resting brain and their changes in aging.
abstract: With the increasing availability of advanced imaging technologies, we are entering a new era of neuroscience. Detailed descriptions of the complex brain network enable us to map out a structural connectome, characterize it with graph theoretical methods, and compare it to the functional networks with increasing detail. To link these two aspects and understand how dynamics and structure interact to form functional brain networks in task and in the resting state, we use theoretical models. The advantage of using theoretical models is that by recreating functional connectivity and time series explicitly from structure and pre-defined dynamics, we can extract critical mechanisms by linking structure and function in ways not directly accessible in the real brain. Recently, resting-state models with varying local dynamics have reproduced empirical functional connectivity patterns, and given support to the view that the brain works at a critical point at the edge of a bifurcation of the system. Here, we present an overview of a modeling approach of the resting brain network and give an application of a neural mass model in the study of complexity changes in aging.
authors: Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain. tristan.nakagawa@upf.edu
authors: Tristan T
authors: TT
authors: Nakagawa
authors: Viktor K
authors: VK
authors: Jirsa
authors: Andreas
authors: A
authors: Spiegler
authors: Anthony R
authors: AR
authors: McIntosh
authors: Gustavo
authors: G
authors: Deco
mesh_terms: D000375:Aging / Q000473:pathology* / Q000502:physiology; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology; D063132:Connectome / Q000379:methods*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D008953:Models, Anatomic; D008959:Models, Neurological; D009415:Nerve Net / Q000033:anatomy & histology* / Q000502:physiology; D012146:Rest
keywords: Aging; Complexity; Criticality; MSE; Multiscale entropy; Resting-state models; Structure–function