Results 91 to 100 of about 116,293 (248)

Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy

Advanced Science, EarlyView.
Resting‐state fMRI captures intrinsic brain activity, yet the physical significance of latency structures remains unclear. In this study, the spatiotemporal properties of fMRI‐derived latency structures are examined by linking them to biophysical model‐based neural functions, intrinsic neural timescales, and functional gradients.
Hyoungshin Choi, Yeongjun Park, Jong‐eun Lee, Sunghun Kim, Bo‐yong Park, Hyunjin Park   +5 more
wiley   +1 more source

Ten Key Insights into the Use of Spinal Cord fMRI

Brain Sciences, 2018
A comprehensive review of the literature-to-date on functional magnetic resonance imaging (fMRI) of the spinal cord is presented. Spinal fMRI has been shown, over more than two decades of work, to be a reliable tool for detecting neural activity.
Jocelyn M. Powers, Gabriela Ioachim, Patrick W. Stroman   +2 more
doaj   +1 more source

Resting State fMRI-Guided Fiber Clustering [PDF]

, 2011
Fiber clustering is a prerequisite step towards tract-based analysis of white mater integrity via diffusion tensor imaging (DTI) in various clinical neuroscience applications. Many methods reported in the literature used geometric or anatomic information for fiber clustering.
Jinglei Lv, Tianming Liu, Bao Ge, Xintao Hu, Lei Guo, Junwei Han, Tuo Zhang   +6 more
openaire   +3 more sources

Sampling Rate Effects on Resting State fMRI Metrics [PDF]

Frontiers in Neuroscience, 2019
Low image sampling rates used in resting state functional magnetic resonance imaging (rs-fMRI) may cause aliasing of the cardiorespiratory pulsations over the very low frequency (VLF) BOLD signal fluctuations which reflects to functional connectivity (FC). In this study, we examine the effect of sampling rate on currently used rs-fMRI FC metrics. Ultra-
Vesa Kiviniemi, Vesa Kiviniemi, Lauri Raitamaa, Lauri Raitamaa, Ville Raatikainen, Ville Raatikainen, Janne Kananen, Janne Kananen, Vesa Korhonen, Vesa Korhonen, Aleksi Rasila, Aleksi Rasila, Viola Borchardt, Viola Borchardt, Heta Helakari, Heta Helakari, Jussi Kantola, Jussi Kantola, Niko Huotari, Niko Huotari, Timo Tuovinen, Timo Tuovinen   +21 more
openaire   +4 more sources

Statistical Learning for Resting-State fMRI: Successes and Challenges [PDF]

, 2011
International audienceIn the absence of external stimuli, fluctuations in cerebral activity can be used to reveal intrinsic structures. Well-conditioned probabilistic models of this so-called resting-state activity are needed to support neuroscientific ...
B. Biswal, B. Biswal, C.F. Beckmann, E. Bullmore, G. Varoquaux, G. Varoquaux, I. Daubechies, J.S. Damoiseaux, S. Bialonski, S. Smith, V.D. Calhoun, Y. He   +11 more
core   +3 more sources

Detecting language network alterations in mild cognitive impairment using task‐based fMRI and resting‐state fMRI: A comparative study

Brain and Behavior
Objective The objective of this study was to investigate the functional changes associated with mild cognitive impairment (MCI) using independent component analysis (ICA) with the word generation task functional magnetic resonance imaging (fMRI) and ...
Kerem Kemik, Emel Ada, Berrin Çavuşoğlu, Cansu Aykaç, Derya Durusu Emek Savaş, Görsev Yener   +5 more
doaj   +1 more source

Thalamo-cortical network activity between migraine attacks. Insights from MRI-based microstructural and functional resting-state network correlation analysis [PDF]

, 2016
BACKGROUND: Resting state magnetic resonance imaging allows studying functionally interconnected brain networks. Here we were aimed to verify functional connectivity between brain networks at rest and its relationship with thalamic microstructure in ...
Colonnese, Claudio, Coppola, Gianluca, DI LORENZO, Cherubino, Di Lorenzo, Giorgio, DI RENZO, Antonio, Lepre, Chiara, Parisi, Vincenzo, Pierelli, Francesco, Scapeccia, Marco, Schoenen, Jean, Serrao, Mariano, Tinelli, Emanuele   +11 more
core   +1 more source

Dynamic mode decomposition of resting-state and task fMRI [PDF]

NeuroImage, 2018
AbstractComponent analysis is a powerful tool to identify dominant patterns of interactions in multivariate datasets. In the context of fMRI data, methods such as principal component analysis or independent component analysis have been used to identify the brain networks shaping functional connectivity (FC).
Wang Chi, Raphaël Liégeois, Raphaël Liégeois, Raphaël Liégeois, B.T. Thomas Yeo, Xiaolu Kong, Jeremy Casorso, Dimitri Van De Ville   +7 more
openaire   +4 more sources

Neurovascular coupling in eye-open-eye-close task and resting state: Spectral correspondence between concurrent EEG and fMRI

NeuroImage
Neurovascular coupling serves as an essential neurophysiological mechanism in functional neuroimaging, which is generally presumed to be robust and invariant across different physiological states, encompassing both task engagement and resting state ...
Yi-Chia Kung, Chia-Wei Li, Ai-Ling Hsu, Chi-Yun Liu, Changwei W. Wu, Wei-Chou Chang, Ching-Po Lin   +6 more
doaj   +1 more source

Multi-timescale hybrid components of the functional brain connectome: A bimodal EEG-fMRI decomposition

Network Neuroscience, 2020
Concurrent electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) bridge brain connectivity across timescales. During concurrent EEG-fMRI resting-state recordings, whole-brain functional connectivity (FC) strength is spatially ...
Jonathan Wirsich, Enrico Amico, Anne-Lise Giraud, Joaquín Goñi, Sepideh Sadaghiani   +4 more
doaj   +1 more source