Results 21 to 30 of about 933,034 (232)

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

Overview of rs-fMRI study groups.

, 2022
Overview of rs-fMRI study groups.
Doaa Mousa (12407236), Inas A. Yassine (8616813), Nourhan Zayed (12407239)   +2 more
core   +1 more source

Sensitivity of Derived Clinical Biomarkers to rs-fMRI Preprocessing Software Versions [PDF]

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019
When common software packages (CONN and SPM) are used to process fMRI, results such as functional connectivity measures can substantially differ depending on the versions of the packages used and the tools used to convert image formats such as DICOM to NIFTI.
Kevin P. Nguyen, Cherise R. Chin Fatt, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo   +4 more
openaire   +2 more sources

Mapping of the Language Network With Deep Learning

Frontiers in Neurology, 2020
Background: Pre-surgical functional localization of eloquent cortex with task-based functional MRI (T-fMRI) is part of the current standard of care prior to resection of brain tumors.
Patrick Luckett, John J. Lee, Ki Yun Park, Donna Dierker, Andy G. S. Daniel, Benjamin A. Seitzman, Carl D. Hacker, Beau M. Ances, Eric C. Leuthardt, Eric C. Leuthardt, Abraham Z. Snyder, Abraham Z. Snyder, Joshua S. Shimony   +12 more
doaj   +1 more source

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

A Tensor-Based Framework for rs-fMRI Classification and Functional Connectivity Construction [PDF]

Frontiers in Neuroinformatics, 2020
Recently, machine learning methods have gained lots of attention from researchers seeking to analyze brain images such as Resting-State Functional Magnetic Resonance Imaging (rs-fMRI) to obtain a deeper understanding of the brain and such related diseases, for example, Alzheimer's disease.
Ali Noroozi, Mansoor Rezghi
openaire   +4 more sources

Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising

NeuroImage, 2022
Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive functional neuroimaging modality that has been widely used to investigate functional connectomes in the brain.
Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam   +6 more
doaj   +1 more source

Application of spatial and temporal ICA on resting state fmri data to remove motion-related noise [PDF]

, 2022
The aim of the present study is to implement Glasser’s method, in particular the focus of this thesis is to select and remove motion-related noise sources. In order to evaluate the effectiveness of implemented method on motion problem on rs-fmri data, it
Piotto, Irene
core  

Hemodynamic evaluation of patients with Moyamoya Angiopathy: comparison of resting-state fMRI to breath-hold fMRI and [15O]water PET [PDF]

, 2021
Purpose Patients with Moyamoya Angiopathy (MMA) require hemodynamic evaluation to assess the risk of stroke. Assessment of cerebral blood flow with [15O]water PET and acetazolamide challenge is the diagnostic standard for the evaluation of the ...
Meyer, Philipp T; https://orcid.org/, Ernemann, Ulrike; https://orcid.org/, Roder, Constantin; https://orcid.org/, Hauser, Till-Karsten; https://orcid.org/, Mengel, Annerose; https://orcid.org/, Tatagiba, Marcos; https://orcid.org/, Klose, Uwe; https://orcid.org/, Zerweck, Leonie; https://orcid.org/, Thurow, Johannes; https://orcid.org/, Khan, Nadia; https://orcid.org/, Khan, Nadia, Ernemann, Ulrike, Klose, Uwe, Hauser, Till-Karsten, Roder, Constantin, , Philipp, Mengel, Annerose, Tatagiba, Marcos, Meyer, Philipp Tobias, Zerweck, Leonie, Thurow, Johannes, Till-Karsten Hauser, Johannes Thurow, Uwe Klose, Leonie Zerweck, Constantin Roder, Annerose Mengel, Ulrike Ernemann, Philipp T. Meyer, Marcos Tatagiba, Nadia Khan   +30 more
core   +1 more source

Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer’s Disease

Sensors, 2022
The resting-state functional magnetic resonance imaging (rs-fMRI) modality has gained widespread acceptance as a promising method for analyzing a variety of neurological and psychiatric diseases. It is established that resting-state neuroimaging data exhibit fractal behavior, manifested in the form of slow-decaying auto-correlation and power-law ...
Alishba Sadiq, Norashikin Yahya, Tong Boon Tang, Hilwati Hashim, Imran Naseem   +4 more
openaire   +4 more sources