Results 101 to 110 of about 17,612,945 (252)

Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques

Health Care Science, EarlyView.
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley   +1 more source

Resting-state fMRI in dementia patients

Low frequency fluctuations (LFFs) of the BOLD signal are a major discovery in the study of the resting brain by functional magnetic resonance imaging (fMRI).
Gili, Tommaso, Moraschi, Marta, Serra, Laura, DiNuzzo, Mauro, Mascali, Daniele, Fratini, Michela, Maraviglia, Bruno, Giove, Federico, Bozzali, Marco   +8 more
core   +2 more sources

A Wavelet-Based Framework for Mapping Long Memory in Resting-State fMRI: Age-Related Changes in the Hippocampus From the ADHD-200 Dataset. [PDF]

Hum Brain Mapp
We propose a new wavelet‐based Bayesian framework to analyze long‐memory properties of resting‐state fMRI signals and their relationship to clinical covariates. Applying this to the ADHD‐200 dataset, we found that in children, age is positively associated with the long‐memory parameter in hippocampal regions.
Shahhosseini Y, Beaulac C, Nathoo FS, Miranda MF.   +3 more
europepmc   +2 more sources

Human biomarker navigator

iMeta, EarlyView.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li, Qian Zhang, Zijie Wang, Zeping Gui, Jing Liu, Jingda Li, Maojun Jiang, Zukang Chang, Qingqing Han, Bendong Yang, Tariq Saeed, Jun Li, Jinghan Jia, Chenghu Song, Tong Shao, Tianhuan Peng, Xueying Zhang, Pingping Guo, Jun Luo, Gangao Yang, Yuan Wan, Gokhan Zengin, Quan Yuan, Lingru Li, Xiaohui Fan, Yang Luo, Lvyun Zhu, Yanfei Zheng, Wenjun Mao, Wenlong Sun   +29 more
wiley   +1 more source

Studying Sub-dendrograms of Resting-state Functional Networks with Voxel-wise Hierarchical Clustering

Frontiers in Human Neuroscience, 2016
Hierarchical clustering is a useful data-driven approach to classify complex data and has been used to analyze resting-state functional magnetic resonance imaging (fMRI) data and derive functional networks of the human brain at very large scale, such as ...
Yanlu eWang, Mussie eMsghina, Tie-Qiang eLi, Tie-Qiang eLi   +3 more
doaj   +1 more source

Disrupted Brain Structure and Function in Alzheimer's Disease Patients With Behavioral and Psychological Symptoms

iNew Medicine, EarlyView.
ABSTRACT Objective Behavioral and psychological symptoms of dementia (BPSD) are highly prevalent in Alzheimer’s disease (AD), but the underlying mechanisms are unclear. This study aims to elucidate the neuropathological mechanisms underlying BPSD by investigating gray matter volume (GMV) and brain connectivity in AD patients with and without BPSD ...
Xuerui Pang, Linbo Xie, Mengdan Chen, Yi Ji, Yibing Yan, Shanshan Zhou, Panpan Hu, Xingqi Wu, Kai Wang   +8 more
wiley   +1 more source

Analysis of individualized brain–gut association networks and transcriptional patterns in major depressive disorder

Interdisciplinary Medicine, EarlyView.
Individualized brain–gut association networks suggest potential neuropathological mechanisms in MDD and MDDSI. Multilevel brain–gut association changes involving HSV‐1 and inflammation may be relevant to MDD, whereas alterations related to insulin metabolism may play a potential role in the neuropathological mechanisms of MDDSI.
Wei Wang, Baoyuan Zhu, Yuanyuan Huang, Liqin Liang, Zhaobo Li, Yunheng Diao, Minxin Guo, Heng Zhang, Jing Zhou, Fengchun Wu, Kai Wu   +10 more
wiley   +1 more source

Functional Imaging for Identification of Functionally Critical Brain Regions to Spare in Glioma Radiation Therapy Planning: A Systematic Review

Journal of Medical Radiation Sciences, EarlyView.
This review highlights the role of functional imaging in sparing cognitive brain regions during glioma radiotherapy. It shows promising dose reduction without compromising target coverage, but evidence remains limited, requiring standardisation and prospective validation.
Li Wen Yeo, John T. Ryan
wiley   +1 more source

Altered spontaneous brain activity in chronic smokers revealed by fractional ramplitude of low-frequency fluctuation analysis: a preliminary study

Scientific Reports, 2017
Although a substantial body of previous functional magnetic resonance imaging (fMRI) studies have revealed different brain responses to external stimuli in chronic cigarette smokers compared with nonsmokers, only a few studies assessed brain spontaneous ...
Chao Wang, Zhujing Shen, Peiyu Huang, Hualiang Yu, Wei Qian, Xiaojun Guan, Quanquan Gu, Yihong Yang, Minming Zhang   +8 more
doaj   +1 more source

Spatiotemporal dynamics of brain function network during proprioception rehabilitation after anterior cruciate ligament reconstruction: A randomized trial

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
The improvement of proprioceptive function after ACLR is related to the optimization of spatiotemporal dynamics of SM, CC, DM, CB and VI functional networks. Rehabilitation optimization can incorporate visual–cognitive dual‐task exercises. Abstract Purpose In this study, we aimed to examine the dynamic functional network connectivity (dFNC) patterns ...
Xiaoyun Zhuang, Chunmei Sui, Xuesong Han, Xiaoying Liu, Xiaoyang Wang, Xiumei Zhu, Ming Xu, Yin Qin   +7 more
wiley   +1 more source