Results 21 to 30 of about 17,412,001 (255)

Resting State fMRI Reveals Diminished Functional Connectivity in a Mouse Model of Amyloidosis [PDF]

, 2013
Introduction: Functional connectivity (FC) studies have gained immense popularity in the evaluation of several neurological disorders, such as Alzheimer’s disease (AD). AD is a complex disorder, characterised by several pathological features. The problem
Rafael Delgado Y Palacios, Christian Bigot, Van Der Linden, Anne-Marie, Bigot, Christian, Van der Linden, Annemie, Rafael Delgado y Palacios (498616), Verhoye, Marleen, Disha Shah, Annemie Van der Linden, Christian Bigot (498617), Dany V D'Souza, Shah, Disha, Disha Shah (498613), Annemie Van der Linden (2227165), Elisabeth Jonckers, D'Souza, Dany V., Greetje Vanhoutte, Jonckers, Elisabeth, Jelle Praet (498614), Delgado y Palacios, Rafael, Greetje Vanhoutte (498615), Marleen Verhoye, Praet, Jelle, Marleen Verhoye (95635), Vanhoutte, Greetje, Jelle Praet, Elisabeth Jonckers (353117), Dany V. D’Souza (498618)   +27 more
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Arousal Contributions to Resting-State fMRI Connectivity and Dynamics

Frontiers in Neuroscience, 2019
Resting-state functional magnetic resonance imaging (rsfMRI) is being widely used for charting brain connectivity and dynamics in healthy and diseased brains. However, the resting state paradigm allows an unconstrained fluctuation of brain arousal, which
Yameng Gu, Feng Han, Xiao Liu, Xiao Liu
doaj   +1 more source

Hemodynamic and electrophysiological evidence of resting-state network activity in the primate [PDF]

, 2008
An expanding body of literature describes the existence of concerted brain activations in the absence of any external stimuli. Resting-state networks have been identified and demonstrated to be modulated during the performance of specific cognitive ...
Wei Shen, Felix Darvas, Allen Ardestani, Joaquin Fuster, Arthur Toga   +4 more
core   +1 more source

Pattern classification of large-scale functional brain networks : identification of informative neuroimaging markers for epilepsy [PDF]

, 2012
The accurate prediction of general neuropsychiatric disorders, on an individual basis, using resting-state functional magnetic resonance imaging (fMRI) is a challenging task of great clinical significance.
GuangMing Lu, ZhengGe Wang, GuangMing Lu (164664), Cheng, Wei, Jie Zhang (64655), Zhang, ZhiQiang, Jie Zhang, Wang, ZhengGe, Jianfeng Feng (48703), ZhiQiang Zhang, Wei Cheng (52808), ZhengGe Wang (164658), Feng, Jianfeng, Wei Cheng, Jianfeng Feng, WenLian Lu (164662), WenLian Lu, ZhiQiang Zhang (164660), Zhang, Jie, Lu, Wenlian, Lu, GuangMing   +20 more
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DPARSF: a MATLAB toolbox for pipeline data analysis of resting-state fMRI

Frontiers in Systems Neuroscience, 2010
Resting-state functional magnetic resonance imaging (fMRI) has attracted more and more attention because of its effectiveness, simplicity and non-invasiveness in exploration of the intrinsic functional architecture of the human brain.
Chaogan Yan, Yufeng Zang
doaj   +1 more source

3T vs. 7T fMRI: capturing early human memory consolidation after motor task utilizing the observed higher functional specificity of 7T

Frontiers in Neuroscience, 2023
ObjectiveFunctional magnetic resonance imaging (fMRI) visualizes brain structures at increasingly higher resolution and better signal-to-noise ratio (SNR) as field strength increases.
Silke Kreitz, Angelika Mennecke, Laura Konerth, Julie Rösch, Armin M. Nagel, Frederik B. Laun, Michael Uder, Arnd Dörfler, Andreas Hess, Andreas Hess   +9 more
doaj   +1 more source

Independent component analysis of interictal fMRI in focal epilepsy: comparison with general linear model-based EEG-correlated fMRI [PDF]

, 2007
The general linear model (GLM) has been used to analyze simultaneous EEG–fMRI to reveal BOLD changes linked to interictal epileptic discharges (IED) identified on scalp EEG. This approach is ineffective when IED are not evident in the EEG.
Lemieux, L., de Martino, F.; id_orcid, De Martino, F., Formisano, E., Duncan, J.S., Laufs, H., Rodionov, R., Carmichael, D.W., Walker, M., Formisano, E.; id_orcid   +9 more
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Estimation of the distribution of change-points with appliction to fMRI data [PDF]

, 2011
Change-point detection in sequences of functional data is examined where the functional observations are dependent and where the distributions of change- points from multiple subjects is required.
Aston, John A. D., Kirch, Claudia
core   +1 more source

A comparison of resting state functional magnetic resonance imaging to invasive electrocortical stimulation for sensorimotor mapping in pediatric patients

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, Carl D. Hacker, Abraham Z. Snyder, Joshua S. Shimony, John M. Zempel, David D. Limbrick, Matthew D. Smyth, Eric C. Leuthardt   +7 more
doaj   +1 more source

Group analysis data representing the effects of frontopolar transcranial direct current stimulation on the default mode network

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, Jonghyun Lee, Jin Hyuk Han, Min Seong Kang, Sanghoon Han   +4 more
doaj   +1 more source