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NeuroImage, 2014 This technical note introduces a dynamic causal model (DCM) for resting state fMRI time series based upon observed functional connectivity--as measured by the cross spectra among different brain regions. This DCM is based upon a deterministic model that generates predicted crossed spectra from a biophysically plausible model of coupled neuronal ...
Friston, Karl J. +3 more
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On nodes and modes in resting state fMRI
NeuroImage, 2014 ISSN:1095 ...
Friston, Karl J +4 more
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Functional connectomics from resting-state fMRI [PDF]
Trends in Cognitive Sciences, 2013 Spontaneous fluctuations in activity in different parts of the brain can be used to study functional brain networks. We review the use of resting-state functional MRI (rfMRI) for the purpose of mapping the macroscopic functional connectome. After describing MRI acquisition and image-processing methods commonly used to generate data in a form amenable ...
Smith, S +16 more
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Phenotyping Superagers Using Resting-State fMRI
American Journal of Neuroradiology, 2023 Superagers are defined as older adults with episodic memory performance similar or superior to that in middle-aged adults. This study aimed to investigate the key differences in discriminative networks and their main nodes between superagers and cognitively average elderly controls.
de Godoy, L.L. +15 more
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NeuroImage: Clinical, 2019 Localizing neurologic function within the brain remains a significant challenge in clinical neurosurgery. Invasive mapping with direct electrocortical stimulation currently is the clinical gold standard but is impractical in young or cognitively delayed ...
Jarod L. Roland +7 more
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Representation Learning of Resting State fMRI with Variational Autoencoder [PDF]
NeuroImage, 2020 AbstractResting state functional magnetic resonance imaging (rsfMRI) data exhibits complex but structured patterns. However, the underlying origins are unclear and entangled in rsfMRI data. Here we establish a variational auto-encoder, as a generative model trainable with unsupervised learning, to disentangle the unknown sources of rsfMRI activity ...
Jung-Hoon Kim +5 more
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Data in Brief, 2018 The current data provide information about altered activities of the default mode network (DMN) after applying transcranial direct current stimulation (tDCS) over the frontopolar prefrontal cortex. To explore whether frontopolar tDCS with a small current
Jeesung Ahn +4 more
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Lag structure in resting-state fMRI
Journal of Neurophysiology, 2014 The discovery that spontaneous fluctuations in blood oxygen level-dependent (BOLD) signals contain information about the functional organization of the brain has caused a paradigm shift in neuroimaging. It is now well established that intrinsic brain activity is organized into spatially segregated resting-state networks (RSNs). Less is known regarding
Anish Mitra +3 more
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Altered regional homogeneity in pediatric bipolar disorder during manic state: a resting-state fMRI study. [PDF]
PLoS ONE, 2013 UNLABELLED: Pediatric bipolar disorder (PBD) is a severely debilitating illness, which is characterized by episodes of mania and depression separated by periods of remission. Previous fMRI studies investigating PBD were mainly task-related.
Qian Xiao +6 more
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Resting-state fMRI: new possibilities for studying physiology and pathology of the brain
Анналы клинической и экспериментальной неврологии, 2017 A new method, resting-state fMRI, has been proposed recentlfor studying basic sensory, emotional, and cognitive processes inhealthy and neurologically affected subjects.
E. V. Seliverstova +3 more
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