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CORONAVIRUS COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) ...

domingo, 29 de octubre de 2017

La conectividad funcional dinámica, nuevo biomarcador de enfermedades mentales

Functional connectivity dynamics: Modeling the switching behavior of the resting state

Abstract

Functional connectivity (FC) sheds light on the interactions between different brain regions. Besides basic research, it is clinically relevant for applications in Alzheimer's disease, schizophrenia, presurgical planning, epilepsy, and traumatic brain injury. Simulations of whole-brain mean-field computational models with realistic connectivity determined by tractography studies enable us to reproduce with accuracy aspects of average FC in the resting state. Most computational studies, however, did not address the prominent non-stationarity in resting state FC, which may result in large intra- and inter-subject variability and thus preclude an accurate individual predictability. Here we show that this non-stationarity reveals a rich structure, characterized by rapid transitions switching between a few discrete FC states. We also show that computational models optimized to fit time-averaged FC do not reproduce these spontaneous state transitions and, thus, are not qualitatively superior to simplified linear stochastic models, which account for the effects of structure alone. We then demonstrate that a slight enhancement of the non-linearity of the network nodes is sufficient to broaden the repertoire of possible network behaviors, leading to modes of fluctuations, reminiscent of some of the most frequently observed Resting State Networks. Because of the noise-driven exploration of this repertoire, the dynamics of FC qualitatively change now and display non-stationary switching similar to empirical resting state recordings (Functional Connectivity Dynamics (FCD)). Thus FCD bear promise to serve as a better biomarker of resting state neural activity and of its pathologic alterations.

Abbreviations

SC
structural connectivity
FC
functional connectivity
FCD
functional connectivity dynamics
MFM
mean-field model
LSM
linear stochastic model
eMFM
enhanced non-linearity mean-field model
RSN
resting state network
DSI
diffusion spectrum imaging
fMRI
functional magnetic resonance imaging
BOLD
blood oxygenation-level dependent

Keywords

Functional connectivity
Functional connectivity dynamics
Structural connectivity
Resting state
Brain dynamics
Whole brain computational model

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