Results 191 to 200 of about 933,034 (232)

Quaternionic views of rs-fMRI hierarchical brain activation regions. Discovery of multilevel brain activation region intensities in rs-fMRI video frames

Chaos, Solitons & Fractals, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Don, Arjuna P. H., Peters, James F., Ramanna, Sheela, Tozzi, Arturo   +3 more
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Preclinical Stages of Alzheimer's Disease Classification by a Rs-fMRI Study

2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2018
A new method for classifying the preclinical stages of Alzheimer's disease (AD)and positioning the related brain areas is described in this paper in order to slow the progress of AD. The method is based on multi-voxel pattern analysis (MVPA)., which is used to classify normal control (NC)participants and patients and find the changes in different brain
Tiantian Liu, Yonghao Wang, Tianyi Yan, Yunlei Liu, Rong Xu, Jiancheng Li, Yunyan Xie   +6 more
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rs-fMRI Analysis Using Spatio-Temporal Sparse Convolutional Neural Networks

2022 30th Signal Processing and Communications Applications Conference (SIU), 2022
Neuropsychiatric diseases such as Autism Spectrum Disorder (ASD) and Schizophrenia cause various behavioral and communication dysfunctions in human life. Resting state functional magnetic resonance imaging (rs-fMRI) is used to detect and characterize functional changes in the brain associated with these disorders.
Fatma Müberra Yener, Sultan Yildiz, Muhammad Adeel Hafeez, Cihan Bilge Kayasandik, Merve Yüsra Dogan   +4 more
openaire   +2 more sources

Consensus-based feature extraction in rs-fMRI data analysis

Soft Computing, 2017
The high-dimensional nature of resting state functional MRI (fMRI) data implies the need of suitable feature selection techniques. Traditional univariate techniques are fast and straightforward to interpret, but are unable to unveil relationships among multiple features.
Galdi, Paola, Fratello, Michele, TROJSI, Francesca, RUSSO, Antonio, TEDESCHI, Gioacchino, Tagliaferri, Roberto, Esposito, Fabrizio   +6 more
openaire   +4 more sources

Functional connectivity metrics for wavelet clustering of rs-fMRI data

2016 50th Asilomar Conference on Signals, Systems and Computers, 2016
Functional connectivity (FC) in the brain reflects the time-varying cognitive demands imposed by our changing environment. Researchers have advanced methods towards evaluating such changes but no single dynamic FC method has emerged. This plurality of methodologies challenges the research community to implement efficient means for evaluating the ...
Jacob C. Billings, Alessio Medda, Gordon J. Berman, Shella D. Keilholz   +3 more
openaire   +2 more sources

A Sleeping rs-fMRI Study of Preschool Children with Autism Spectrum Disorders

Current Medical Imaging Formerly Current Medical Imaging Reviews, 2020
Objectives: The brain functional network of autism spectrum disorders (ASDs) in the earlier stages of life has been almost unknown due to difficulties in obtaining a resting-state functional magnetic resonance imaging (rs-fMRI). This study aimed to perform rs-MRI under a sedated sleep state and reveal possible alterations in the brain functional ...
Xiaomeng Li, Longlun Wang, Bin Qin, Yun Zhang, Zhiming Zhou, Yong Qin, Guangcheng Bao, Jie Huang, Jinhua Cai   +8 more
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Use of RS-fMRI in Fabry disease

Neurology, 2017
Clinical studies have shown involvement of motor circuits independently of cerebrovascular symptoms in Fabry disease.1 In this issue of Neurology ®, Cocozza et al.2 report alteration of the cortico-striatal pathway in Fabry disease and confirm the involvement of motor circuits in this pathology without cerebrovascular events.
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An rs-fMRI based neuroimaging marker for adult absence epilepsy

Epilepsy Research
Approximately 20-30 % of epilepsy patients exhibit negative findings on routine magnetic resonance imaging, and this condition is known as nonlesional epilepsy. Absence epilepsy (AE) is a prevalent form of nonlesional epilepsy. This study aimed to investigate the clinical diagnostic utility of regional homogeneity (ReHo) assessed through the support ...
Ruoshi, Liu, Guozhong, Zhu, Yujun, Gao, Dongbin, Li   +3 more
openaire   +2 more sources

Diagnosis of Alzheimer's disease using Effective Connectivity of rs-fMRI

2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), 2021
Brain functional networks based on resting-state functional MRI (rs-fMRI) have numerous potentials about brain networks and has been utilized to discriminate healthy control (HC) form individual with AD and MCI. More importantly, the default mode network (DMN) in rs-fMRI has been progressively utilized in disease identification since it was created ...
Uttam Khatri, Ramesh Kumar Lama, Goo-Rak Kwon   +2 more
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Exploring transfer learning techniques for classifying Alzheimer's disease with rs-fMRI

Computers in Biology and Medicine
Alzheimer's disease, the most prevalent form of dementia, leads to a fatal progression after progressively destroying memory at each stage. This irreversible disease appears more frequently in older populations. Even though research on Alzheimer's disease has risen over the past few years, the intricacy of brain structure and function creates ...
Somayeh Abbasabadi, Parviz Fattahi, Mahdyeh Shiri   +2 more
openaire   +3 more sources