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Exploration of LICA Detections in Resting State fMRI
2011Lattice Independent Component Analysis (LICA) approach consists of a detection of lattice independent vectors (endmembers) that are used as a basis for a linear decomposition of the data (unmixing). In this paper we explore the network detections obtained with LICA in resting state fMRI data from healthy controls and schizophrenic patients.We compare ...
Darya Chyzhyk +2 more
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Atlas-Based Labeling of Resting-State fMRI
Brain ConnectivityBackground: Functional magnetic resonance imaging (fMRI) has the potential to provide noninvasive functional mapping of the brain with high spatial and temporal resolution. However, fMRI independent components (ICs) must be manually inspected, selected, and interpreted, requiring time and expertise. We propose a
Hrishikesh Kambli +6 more
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A review of resting-state fMRI and its use to examine psychiatric disorders
Psychoradiology, 2021Donna Y Chen +2 more
exaly
The Electrophysiology of Resting State fMRI Networks
2017Traditional research in neuroscience has studied the topography of specific brain functions largely by presenting stimuli or imposing tasks and measuring evoked brain activity. This paradigm has dominated neuroscience for 50 years. Recently, investigations of brain activity in the resting state, most frequently using functional magnetic resonance ...
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Recent progress and outstanding issues in motion correction in resting state fMRI
NeuroImage, 2015Jonathan D Power, Steven E Petersen
exaly
Graph-theory based parcellation of functional subunits in the brain from resting-state fMRI data
NeuroImage, 2010Xilin Shen +2 more
exaly
fMRI resting state networks define distinct modes of long-distance interactions in the human brain
NeuroImage, 2006Christian F Beckmann +2 more
exaly