Results 1 to 10 of about 996,481 (256)

Resting-state fMRI seizure onset localization meta-analysis: comparing rs-fMRI to other modalities including surgical outcomes [PDF]

Frontiers in Neuroimaging
ObjectiveResting-state functional MRI (rs-fMRI) may localize the seizure onset zone (SOZ) for epilepsy surgery, when compared to intracranial EEG and surgical outcomes, per a prior meta-analysis.
Varina L. Boerwinkle, Mary A. Nowlen, Jesus E. Vazquez, Martin A. Arhin, Martin A. Arhin, William R. Reuther, Emilio G. Cediel, Patrick J. McCarty, Iliana Manjón, Jubran H. Jubran, Ashley C. Guest, Kirsten D. Gillette, Frances M. Nowlen, Andrew R Pines, Meitra H. Kazemi, Bahjat F. Qaqish   +15 more
doaj   +6 more sources

Seizure-onset zone lateralization in temporal lobe epilepsy using 7T rs-fMRI: Direct comparison with 3T rs-fMRI. [PDF]

Epilepsia
AbstractObjectiveResting‐state functional magnetic resonance imaging (rs‐fMRI) at ultra‐high field strengths (≥7T) is known to provide superior signal‐to‐noise to comparable acquisitions at lower field strengths. In this study, we provide a direct comparison of the seizure onset‐zone (SOZ) lateralizing ability of 7T rs‐fMRI and 3T rs‐fMRI.MethodsWe ...
Lucas A, Cornblath EJ, Sinha N, Caciagli L, Hadar P, Tranquille A, Stein JM, Das S, Davis KA.   +8 more
europepmc   +3 more sources

Temporal and spatial characterization of physiological noise in rs-fMRI at a high temporal resolution. [PDF]

Sci Rep
Abstract The fMRI signal contains “noise” components resulting from physiological processes that interfere with the component due to neuronal activation and obscure the understanding of brain function. Having the neuronal activation component as the unknown, it is crucial to characterize the spatial and temporal aspects of the signal ...
Kuldavletova O, Mauboussin M, Naveau M, Vandevelde A, Delcroix N, Joliot M, Etard O.   +6 more
europepmc   +5 more sources

Functional brain hubs are related to age: A primer study with rs-fMRI. [PDF]

Int J Clin Health Psychol
Research on the ontogenetic development of brain networks using resting state has shown to be useful for understanding age-associated changes in brain connectivity. This work aimed to analyze the relationship between brain connectivity, age and intelligence.A sample of 26 children and adolescents between 6 and 18 years of both sexes underwent a resting-
Figueroa-Jiménez MD, Cañete-Massé C, Gudayol-Ferre E, Gallardo-Moreno GB, Peró-Cebollero M, Guàrdia-Olmos J.   +5 more
europepmc   +4 more sources

Depression in multiple sclerosis: RS-FMRI research [PDF]

European Psychiatry, 2021
Introduction Multiple sclerosis (MS) is a demyelinating and neurodegenerative disorder of the CNS, which incapacitates people of working age. Due to progressive disability, the quality of life decreases, adding a number of other diseases to the main one.
A. Temniy, K. Markin, M. Poplyak, A. Trufanov, D. Tarumov, I. Litvinenko   +5 more
openaire   +2 more sources

Spatiotemporal consistency analysis of cerebral small vessel disease: an rs-fMRI study [PDF]

Front Neurosci
IntroductionCerebral small vessel disease (SVD) affects older adults, but traditional approaches have limited the understanding of the neural mechanisms of SVD. This study aimed to explore the effects of SVD on brain regions and its association with cognitive decline using the four-dimensional (spatiotemporal) consistency of local neural activity (FOCA)
Yang J, Xiao R, Liu Y, He C, Han L, Xu X, Chen M, Zhong J.   +7 more
europepmc   +4 more sources

The Application of rs-fMRI in Vascular Cognitive Impairment [PDF]

Frontiers in Neurology, 2020
The incidence of vascular cognitive impairment (VCI) has been increasing for years and has become a major disabling factor in middle-aged and elderly populations. The pathogenesis of VCI is unclear, and there are no standard diagnostic criteria. Resting-state functional magnetic resonance imaging (rs-fMRI) can be used to detect spontaneous brain ...
Ran Wang, Nian Liu, Yun-Yun Tao, Xue-Qin Gong, Jing Zheng, Cui Yang, Lin Yang, Xiao-Ming Zhang   +7 more
openaire   +3 more sources

Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures [PDF]

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
We propose to apply non-linear representation learning to voxelwise rs-fMRI data. Learning the non-linear representations is done using a variational autoencoder (VAE). The VAE is trained on voxelwise rs-fMRI data and performs non-linear dimensionality reduction that retains meaningful information.
Eloy Geenjaar, Tonya White, Vince D. Calhoun   +2 more
openaire   +2 more sources

Preoperative mapping of the sensorimotor cortex: comparative assessment of task-based and resting-state FMRI. [PDF]

PLoS ONE, 2014
Resting state fMRI (rs-fMRI) has recently been considered as a possible complement or alternative to task-based fMRI (tb-fMRI) for presurgical mapping.
Cristina Rosazza, Domenico Aquino, Ludovico D'Incerti, Roberto Cordella, Adrian Andronache, Domenico Zacà, Maria Grazia Bruzzone, Giovanni Tringali, Ludovico Minati   +8 more
doaj   +1 more source

Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment

Brain Sciences, 2022
Resting-state fMRI (rs-fMRI) is a widely used technique to investigate the residual brain functions of patients with Disorders of Consciousness (DoC). Nonetheless, it is unclear how the networks that are more associated with primary functions, such as ...
Jean Paul Medina, Anna Nigri, Mario Stanziano, Ludovico D’Incerti, Davide Sattin, Stefania Ferraro, Davide Rossi Sebastiano, Chiara Pinardi, Giorgio Marotta, Matilde Leonardi, Maria Grazia Bruzzone, Cristina Rosazza   +11 more
doaj   +1 more source