Causal interactions in resting-state networks predict perceived loneliness
نویسندگان
چکیده
منابع مشابه
Causal interactions in resting-state networks predict perceived loneliness
Loneliness is broadly described as a negative emotional response resulting from the differences between the actual and desired social relations of an individual, which is related to the neural responses in connection with social and emotional stimuli. Prior research has discovered that some neural regions play a role in loneliness. However, little is known about the differences among individual...
متن کاملCausal interactions in attention networks predict behavioral performance.
Lesion and functional brain imaging studies have suggested that there are two anatomically nonoverlapping attention networks. The dorsal frontoparietal network controls goal-oriented top-down deployment of attention; the ventral frontoparietal network mediates stimulus-driven bottom-up attentional reorienting. The interaction between the two networks and its functional significance has been con...
متن کاملMeasuring Asymmetric Interactions in Resting State Brain Networks
Directed graph representations of brain networks are increasingly being used to indicate the direction and level of influence among brain regions. Most of the existing techniques for directed graph representations are based on time series analysis and the concept of causality, and use time lag information in the brain signals. These time lag-based techniques can be inadequate for functional mag...
متن کاملInstantaneous and Causal Connectivity in Resting State Brain Networks Derived from fMRI Data
Introduction Previous studies have investigated functional connectivity (FC) in resting state networks (RSNs) such as default mode network (DMN) [1,2], hippocampal cortical memory network (HCMN) [3], dorsal attention network (DAN) [3] and fronto-parietal control network (FPCN) [3]. However, comprehensive effective connectivity (EC) analysis of these networks has been lacking primarily because t...
متن کاملAltered Causal Connectivity of Resting State Brain Networks in Amnesic MCI
Most neuroimaging studies of resting state networks in amnesic mild cognitive impairment (aMCI) have concentrated on functional connectivity (FC) based on instantaneous correlation in a single network. The purpose of the current study was to investigate effective connectivity in aMCI patients based on Granger causality of four important networks at resting state derived from functional magnetic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2017
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0177443