Article
Clinical Neurology
Weicheng Li, Chengyu Wang, Xiaofeng Lan, Ling Fu, Fan Zhang, Yanxiang Ye, Haiyan Liu, Kai Wu, Yanling Zhou, Yuping Ning
Summary: This study aimed to explore the variability and concordance of alterations in rs-fMRI indices in MDD patients with suicidal ideation (SI). The results showed that MDD patients with SI had lower dynamics degree centrality and voxel mirrored homotopic connectivity values compared to MDD patients without SI. Moreover, the voxel-wise concordance was negatively correlated with cognitive function in the SI group.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Neurosciences
Hang Wu, Qiuyou Xie, Jiahui Pan, Qimei Liang, Yue Lan, Yequn Guo, Junrong Han, Musi Xie, Yueyao Liu, Liubei Jiang, Xuehai Wu, Yuanqing Li, Pengmin Qin
Summary: Using task-dependent neuroimaging techniques, recent studies have found patients with disorders of consciousness (DOC) who show signs of awareness but cannot perform specific tasks accurately due to cognitive impairments, leading to false-negative findings. This study investigates the use of temporal stability as a tool to detect cognitive functions and identify cognitive motor dissociation (CMD) in DOC patients. The results show that temporal stability is impaired in DOC patients and that a Support Vector Machine (SVM) model based on temporal stability can accurately distinguish DOC patients from controls and identify CMD.
Article
Neurosciences
Xiaole Z. Zhong, J. Jean Chen
Summary: This study investigates the age and sex effects on the frequency content of the rs-fMRI signal using the Leipzig mind-brain-body data set. The findings demonstrate that the rs-fMRI fluctuation frequency is higher in older adults, and men have higher rs-fMRI frequency than women. The effects of age and sex on fMRI frequency vary with frequency band examined.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Shachar Gal, Yael Coldham, Niv Tik, Michal Bernstein-Eliav, Ido Tavor
Summary: The search for an ideal approach to investigate functional connections in the human brain is a challenge for neuroscience. Recent studies have found that using naturalistic stimuli to collect functional connectivity data predicts cognitive and emotional scores more accurately than using resting-state data. Furthermore, activation maps predicted using naturalistic stimuli are better predictors of individual intelligence scores than those predicted using resting-state data.
Article
Neurosciences
Xiaodi Zhang, Eric A. Maltbie, Shella D. Keilholz
Summary: Recent resting-state fMRI studies have shown that brain activity exhibits temporal variations in functional connectivity using various methods. However, the results from these methods are just a simplification of the continuous process of brain activity.
Article
Neurosciences
Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam
Summary: Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive modality used to investigate functional connectomes in the brain. Effective noise removal is crucial in preprocessing rs-fMRI data. This study proposes an automatic deep learning framework for noise-related component identification, achieving remarkable performance and increasing noise detection speed.
Article
Neurosciences
Teppei Matsui, Trung Quang Pham, Koji Jimura, Junichi Chikazoe
Summary: This study found that the results of CAP analysis were similar for both real and simulated data, suggesting that CAP analysis does not necessarily reflect the non-stationarity or mixture of states in resting brain activity. Additionally, CAPs formed spatially heterogeneous modules in both real and simulated data.
Article
Anatomy & Morphology
Sara Seoane, Cristian Modrono, Jose Luis Gonzalez-Mora, Niels Janssen
Summary: By analyzing a high spatial resolution 7T rsfMRI dataset, we found the associations between the medial temporal lobe (MTL) and different resting-state networks. Specifically, different sub-regions of the MTL were associated with different resting-state networks such as the default mode, visual, and dorsal attention networks. These findings provide new insights into the role of the MTL in resting-state networks.
BRAIN STRUCTURE & FUNCTION
(2022)
Article
Multidisciplinary Sciences
Bhanu Sharma, Cameron Nowikow, Carol DeMatteo, Michael D. Noseworthy, Brian W. Timmons
Summary: Pediatric concussion can lead to long-term symptoms, and rs-fMRI disturbances are common in these patients. A secondary data analysis revealed sex differences in rs-fMRI connectivity, with more widespread abnormalities in females compared to males. This suggests that recovery timelines in pediatric concussion may vary by sex.
SCIENTIFIC REPORTS
(2023)
Article
Clinical Neurology
Fan Yang, Wenxiao Jia, Hanjiaerbieke Kukun, Shuang Ding, Haotian Zhang, Yunling Wang
Summary: This study investigated the resting brain function in patients with TLE-N using rs-fMRI analysis methods. The results showed that cTLE-N patients exhibited brain activity changes in visual functional areas, while rTLE-N patients showed brain activity changes in the prefrontal limbic system and default mode network. Different epilepsy networks exist between cTLE-N and rTLE-N.
NEUROPSYCHIATRIC DISEASE AND TREATMENT
(2022)
Article
Computer Science, Artificial Intelligence
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
Summary: This study proposes a temporal dynamics learning (TDL) method for network-based brain disease identification using rs-fMRI time-series data. By integrating network feature extraction and classifier training into a unified framework, it addresses the issues of previous studies paying less attention to the evolution of global network structures over time and treating feature extraction and training as separate tasks.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Psychiatry
Xiao-Dong Han, Hong-Wei Zhang, Ting Xu, Lin Liu, Hui-Ting Cai, Zi-Qi Liu, Qing Li, Hui Zheng, Tao Xu, Ti-Fei Yuan
Summary: This study found differences in specific brain regions between obese individuals and non-obese individuals. Non-planning impulsivity was positively correlated with the severity of obesity, and the right dorsolateral prefrontal cortex acted as a complete mediator between non-planning impulsivity and obesity. These results suggest that impulsivity is more likely to precede obesity and contributes to it by regulating activity in the dorsolateral prefrontal cortex.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Clinical Neurology
Yan Zhou, Liusheng Gong, Yushu Yang, Linjie Tan, Lili Ruan, Xiu Chen, Hua Luo, Jianghai Ruan
Summary: This study aims to investigate the brain spatio-temporal dynamics of resting-state networks and their correlations with clinical traits in migraine. The results show that the altered spatio-temporal dynamics exist in migraine patients and are associated with their clinical traits. These dynamics may serve as potential biomarkers for migraine and have the potential to change future clinical practice.
JOURNAL OF HEADACHE AND PAIN
(2023)
Article
Neurosciences
Feiling Lou, Jiejie Tao, Ronghui Zhou, Shuangli Chen, Andan Qian, Chuang Yang, Xiangwu Zheng, Bicheng Chen, Zhishan Hu, Meihao Wang
Summary: The study found significant alterations in variability and concordance of dynamic brain activity in patients with ADHD, which may serve as biomarkers for the diagnosis of ADHD. ADHD patients exhibited abnormalities in dynamic amplitude and voxel-wise concordance in certain brain regions, which were associated with deficits in cognitive control.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Aras Kayvanrad, Stephen R. Arnott, Nathan Churchill, Stefanie Hassel, Aditi Chemparathy, Fan Dong, Mojdeh Zamyadi, Tom Gee, Robert Bartha, Sandra E. Black, Jane M. Lawrence-Dewar, Christopher J. M. Scott, Sean Symons, Andrew D. Davis, Geoffrey B. Hall, Jacqueline Harris, Nancy J. Lobaugh, Glenda MacQueen, Cindy Woo, Stephen Strother
Summary: Quality assurance (QA) is crucial in longitudinal and/or multi-site studies to monitor scanner performance over time and location, detecting and controlling for intrinsic differences and changes in scanner performance. Using phantom scans and QA parameters, variations in image resolution measured by the FWHM were identified as a primary source of variance over time for many sites, as well as between sites and between manufacturers. An unexpected range of instabilities affecting individual slices in a number of scanners were also found, with a preprocessing approach to reduce variance and alleviate anomalies identified.