Results 201 to 210 of about 933,034 (232)

Identification of Epileptic Seizure Using ReHo from Rs-fMRI

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM), 2017
Localization of the epileptic seizure sources is a very essential procedure that assists the surgeon in concentrating on the diseased area leaving its vicinity unaffected. Epilepsy is a condition in which the brains own neurons releases abnormal electrical pulses that inhibits the normal activities of other neurons, that needs surgery to be corrected ...
A. Allwyn Gnanadas, S. Sathishbabu, M. Vijayakarthik   +2 more
openaire   +1 more source

Sources of multifractality of the brain rs-fMRI signal

Chaos, Solitons & Fractals, 2022
Sihai Guan, Dongyu Wan, Yanmiao Yang, Bharat Biswal   +3 more
openaire   +1 more source

A spatiotemporal graph transformer approach for Alzheimer’s disease diagnosis with rs-fMRI

Computers in Biology and Medicine
Alzheimer's disease (AD) is a neurodegenerative disease accompanied by cognitive impairment. Early diagnosis is crucial for the timely treatment and intervention of AD. Resting-state functional magnetic resonance imaging (rs-fMRI) records the temporal dynamics and spatial dependency in the brain, which have been utilized for automatically diagnosis of ...
Peng He 0001, Zhan Shi, Yaping Cui, Ruyan Wang, Dapeng Wu 0002   +4 more
openaire   +2 more sources

Probabilistic Analysis of Nucleus Accumbens Signal Alterations in Rs-fMRI

2019 Medical Technologies Congress (TIPTEKNO), 2019
Rs-fmri provides to establish the default mode network that comprises the connections of the neural networks of the brain and the relations of these connections with each other in the state of rest. However, unexpected signal alterations and changes may also occur in fmri signals in areas outside the default network.
Candemir, Cemre, Ozalay, Ozgun, Gonul, Ali Saffet   +2 more
openaire   +2 more sources

Comparative analysis of rs-fMRI markers in heat and mechanical pain sensitivity

This study investigates the comparative analysis of resting-state functional magnetic imaging (rs-fMRI) markers in heat and mechanical pain sensitivity among healthy adults. Using quantitative sensory testing (QST) in the orofacial area and rs-fMRI, we explored the relationship between pain sensitivities and resting-state functional connectivity (rsFC)
Yung-Lin, Chen, Li-Ling Hope, Pan, David M, Niddam, Clay, Hinrichs, Shuu-Jiun, Wang, Yu-Te, Wu   +5 more
openaire   +2 more sources

Brain volume prediction based on rs-fMRI time series

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE), 2019
Rs-fMRI time series and volumes of different brain regions possess rich information about the functionality and the structure of the brain, respectively. Recently, artificial neural network emerges as a powerful tool to perform machine learning tasks, which empowers the exploration of the direct relationship between the two.
openaire   +1 more source

Harmonization of Multi-Site rs-fMRI data using CovBat

ISMRM Annual Meeting
Multisite studies are an important feature of modern neuroimaging research as they allow the study of larger and more diverse populations, which is essential to obtain clinically relevant insight and sensitivity to subtle effects. However, due to the variability among scanner platforms, even when utilizing the same acquisition protocols, harmonization ...
Katherine Breedlove, Hector Arciniega, Sylvain Bouix, Martha Shenton, Alexander Lin   +4 more
openaire   +1 more source

Neural Network Embedding for RS-fMRI ghraps and phenotype annotations

2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2019
In this work, a computational intelligence method is developed to represent brain connectivity networks of patients with autism spectrum disorders through the use of resting magnetic resonance imaging. A neural embedding network is proposed that allows vectorial representation of connectivity networks by fusion of data from two sources, images and ...
openaire   +1 more source

Pragmatic abilities in multiple sclerosis: An RS-fMRI study

Journal of the Neurological Sciences, 2017
Iodice R, Carotenuto A, Bambini V, Arcara G, Cocozza S, Quarantelli M   +5 more
openaire   +5 more sources

Striving Toward Translation: Strategies for Reliable fMRI Measurement

Trends in Cognitive Sciences, 2021
Annchen R Knodt, Maxwell L Elliott, Ahmad R. Hariri   +2 more
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