Article
Neurosciences
Leyao Pan, Zifeng Mai, Jinhui Wang, Ning Ma
Summary: This study found that attentional decline after sleep deprivation is related to changes in the rich-club architecture of the human brain. Sleep deprivation leads to reorganization of the hierarchical structure of brain networks, and alert response compensation is correlated with the connections in the rich-club structure.
Article
Neurosciences
Jinbo Sun, Rui Zhao, Zhaoyang He, Mengying Chang, Fumin Wang, Wei Wei, Xiaodan Zhang, Yuanqiang Zhu, Yibin Xi, Xuejuan Yang, Wei Qin
Summary: This study used a novel metric to examine the dynamic functional connectivity in the brain after sleep deprivation. The results showed that sleep-deprived subjects exhibited abnormal brain functional configuration, providing new insights into the neural underpinnings of sleep deprivation and the pathophysiology of clinical disorders.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Zifeng Mai, Mingzhu Li, Leyao Pan, Ning Ma
Summary: This study found a link between vigilance instability in the sleep-deprived state and dynamic functional connectivity (DFC) in the thalamic-frontoparietal network (FPN) - default mode network (DMN) circuits. Differences in DFC between high arousal state (HAS) and low arousal state (LAS) were correlated with ongoing vigilance performance in the sleep-deprived state.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2022)
Article
Neurosciences
Weiwei Fu, Cimin Dai, Jie Chen, Letong Wang, Tao Song, Ziyi Peng, Mengmeng Xu, Lin Xu, Yuguo Tang, Yongcong Shao
Summary: This study used resting-state functional magnetic resonance imaging to investigate the effects of 36 hours of total sleep deprivation on vigilant attention and resting-state network. The results showed that sleep deprivation impaired vigilant attention and caused changes in functional connectivity, which were positively correlated with reaction time to psychomotor vigilance tasks. These findings suggest that sleep deprivation impacts visual attention and the reception of information in the brain.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Haiteng Wang, Ke Yu, Tianyi Yang, Lingjing Zeng, Jialu Li, Cimin Dai, Ziyi Peng, Yongcong Shao, Weiwei Fu, Jianlin Qi
Summary: The study analyzed changes in whole-brain functional connectivity in the neostriatum of 30 healthy adult men after 36 hours of complete sleep deprivation, finding significantly reduced functional connectivity between the putamen and other brain regions, which may contribute to impaired motor control and regulatory network in individuals in the sleep-deprived state.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Yuxin Wu, Yu Lei, Pinhong Chen, Gang Hu, Bei Lin, Chaoyue Zhang, Xinhuai Wu, Lubin Wang
Summary: This study aimed to investigate the role of brainstem arousal system functional connectivity in objective and subjective vigilance decline induced by sleep deprivation. The results showed that sleep deprivation altered the connectivity patterns between the brainstem and other brain regions, which were associated with objective and subjective vigilance decline.
JOURNAL OF NEUROSCIENCE RESEARCH
(2023)
Article
Neurosciences
Yun Tian, Chao Xie, Xu Lei
Summary: This study found that there is no significant correlation between changes in subjective sleepiness and objective vigilance during sleep deprivation. Using functional connectivities, it was discovered that different patterns of functional connectivity underlie the isolation of these two factors during sleep deprivation.
COGNITIVE NEURODYNAMICS
(2022)
Article
Neurosciences
Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward T. Bullmore, Chun-Yi Zac Lo, Jianfeng Feng
Summary: This study analyzed large-scale resting-state functional magnetic resonance imaging data and identified transitions between sensory, somatomotor, and internal mentation networks in the resting brain. With increasing age, the internal mentation network becomes more prevalent, while sensory and somatomotor networks are more frequently expressed in younger individuals. The findings demonstrate the dynamic patterns of transition between functionally specialized brain states associated with age.
Article
Neurosciences
Yongqiang Xu, Ping Yu, Jianmin Zheng, Chen Wang, Tian Hu, Qi Yang, Ziliang Xu, Fan Guo, Xing Tang, Fang Ren, Minwen Zheng, Yuanqiang Zhu
Summary: The study explored the use of neuroimaging and machine learning algorithm to screen vulnerability to sleep deprivation and found that graph-theory-based degree centrality can effectively differentiate vulnerable subjects from resilient subjects. Sleep deprivation leads to significant reorganization of sleep homeostasis, and changes related to vulnerability were found in brain areas including the sensorimotor network, default mode network, and thalamus.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Limin Peng, Zhiguo Luo, Ling-Li Zeng, Chenping Hou, Hui Shen, Zongtan Zhou, Dewen Hu
Summary: This study developed a brain parcellation method based on dynamic functional connectivity and created a new functional brain atlas. The atlas can reveal finer functional boundaries that static methods may overlook, and shows good agreement with cytoarchitectonic areas and task activation maps.
Article
Neurosciences
Ziliang Xu, Yingjuan Chang, Fan Guo, Chen Wang, Na Chai, Minwen Zheng, Peng Fang, Yuanqiang Zhu
Summary: This study aimed to investigate whether a short nap after sleep deprivation (SD) can restore brain function. The results showed that cognitive function impairment caused by SD can be partially reversed after a nap, and the dynamic functional connectivity (DFC) at different timepoints is associated with the extent of impairment and recovery of cognitive function.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Neurosciences
Shigeyuki Ikeda, Koki Kawano, Soichi Watanabe, Okito Yamashita, Yoshinobu Kawahara
Summary: Dynamic mode decomposition (DMD) was used to predict individual behavioral differences in resting-state functional connectivity (FC) data. DMs within frequency bands < 0.2 Hz primarily contributed to prediction and had spatial structures similar to common resting-state networks. DMD was found to be efficient in extracting spatiotemporal features from rs-fMRI data and outperformed traditional data decomposition methods.
Article
Neurosciences
Jing Qi, Bo-Zhi Li, Ying Zhang, Bei Pan, Yu-Hong Gao, Hao Zhan, Yong Liu, Yong-Cong Shao, Xi Zhang
Summary: This study investigated alterations in hypothalamic functional connectivity following total sleep deprivation in 30 healthy adult males. Enhanced connectivity was observed between the hypothalamus and various brain regions, but a significant correlation between altered hypothalamic connectivity and vigilance performance was not found.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Clinical Neurology
Jing Qi, Bo-Zhi Li, Ying Zhang, Bei Pan, Yu-Hong Gao, Hao Zhan, Yong Liu, Yong-Cong Shao, Xi Zhang
Summary: This study found that after total sleep deprivation, there were significant alterations in insular functional connectivity, with enhanced connectivity with the prefrontal cortex and inferior temporal gyrus, while reduced connectivity with temporal, parietal, and occipital regions. Furthermore, the changes in insular functional connectivity were correlated with PVT performance.
Article
Neurosciences
Andria J. Farrens, Shahabeddin Vahdat, Fabrizio Sergi
Summary: Dynamic adaptation is the process of adjusting motor actions to changes in task dynamics. Adapted motor plans are consolidated into memories that contribute to better performance on re-exposure. This study used functional magnetic resonance imaging (fMRI) to investigate resting state functional connectivity (rsFC) specific to dynamic adaptation of wrist movements and subsequent memory formation.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Rheumatology
Xing Qian, Fang Ji, Kwun Kei Ng, Amelia Jialin Koh, Beatrice Rui Yi Loo, Mary Charlotte Townsend, Ofer Pasternak, Sen Hee Tay, Juan Helen Zhou, Anselm Mak
Summary: Brain white matter microstructural changes and increased extracellular free water (FW) volume are observed in SLE patients. The increased extracellular FW is associated with reduced neurocognitive performance, particularly in sustained attention, and higher cumulative glucocorticoid dose.
Article
Psychiatry
Mengjiao Hu, Xing Qian, Siwei Liu, Amelia Jialing Koh, Kang Sim, Xudong Jiang, Cuntai Guan, Juan Helen Zhou
Summary: The ability of automatic feature learning in Convolutional Neural Network (CNN) is potentially suitable for uncovering complex and widespread brain changes in schizophrenia. This study developed a deep feature approach using 2D and 3D CNN models to classify schizophrenia based on multimodal neuroimaging data. The 3D CNN models outperformed the 2D CNN models and handcrafted feature-based machine learning approach, and identified critical brain regions for illness classification.
SCHIZOPHRENIA RESEARCH
(2022)
Article
Clinical Neurology
Ju Lynn Ong, S. Azrin Jamaluddin, Jesisca Tandi, Nicholas I. Y. N. Chee, Ruth L. F. Leong, Reto Huber, June C. Lo, Michael W. L. Chee
Summary: The improvement of cognitive abilities during adolescence is associated with brain maturation, including cortical thinning and reduced sleep slow wave activity. This study found that age-related improvements in processing speed and nonverbal intelligence are mediated by reductions in cortical thickness and sleep slow wave activity. These findings suggest that cognitive development is closely related to brain structure and sleep.
Article
Clinical Neurology
Stijn A. A. Massar, Alyssa S. C. Ng, Chun Siong Soon, Ju Lynn Ong, Xin Yu Chua, Nicholas I. Y. N. Chee, Tih Shih Lee, Michael W. L. Chee
Summary: This study examined the changes in sleep, physical activity, and wellbeing during the COVID-19 lockdowns and reopening. The findings showed that upon reopening, there were earlier sleep timings, increased physical activity, but also higher self-rated stress and poorer evening mood ratings. The study also found that work/study arrangements and smartphone usage patterns influenced these changes.
Article
Clinical Neurology
June Chi-Yan Lo, Tiffany B. Koa, Ju Lynn Ong, Joshua J. Gooley, Michael W. L. Chee
Summary: In this study, the deterioration of vigilance with increasing time-on-task (ToT) during recurrent sleep restriction was characterized. Afternoon napping was found to be effective in ameliorating ToT-related deficits.
Editorial Material
Clinical Neurology
Michael W. L. Chee, Thomas Svensson
Article
Clinical Neurology
Shuo Qin, Ruth L. F. Leong, Ju Lynn Ong, Michael W. L. Chee
Summary: This meta-analysis examined associations between objectively measured sleep parameters and cognitive performance in healthy older adults. It found that both sleep macrostructure and microstructure were related to cognitive function. The relationship between sleep and cognition was moderated by age, education, and percentage of female participants. This study highlights the importance of objective sleep measures in understanding the relationship between sleep and cognition in healthy older adults.
SLEEP MEDICINE REVIEWS
(2023)
Article
Clinical Neurology
Ruth L. F. Leong, TeYang Lau, Andrew R. Dicom, Teck Boon Teo, Ju Lynn Ong, Michael W. L. Chee
Summary: The study aimed to investigate the effects of mid-afternoon naps on memory encoding, vigilance, speed of processing, mood, and sleepiness. Naps of durations ranging from 10 to 60 minutes were found to improve positive mood and alleviate self-reported sleepiness up to 240 minutes post-nap. Only the 30-minute nap showed benefits for memory encoding, while improvements in vigilance were moderate and no benefits for speed of processing were observed. Sleep inertia was observed for naps of 30 to 60 minutes but resolved within 30 minutes after waking.
Editorial Material
Neurosciences
Michael W. L. Chee, Adrian R. Willoughby
Summary: Large-scale, global studies on sleep and its relationship with cognitive performance are rare. A recent study using a video game found that among 54-70 year old participants, optimal wayfinding performance was associated with a self-reported sleep duration of 7 hours. The study also found that geography and/or culture significantly influenced sleep duration, which warrants further investigation.
TRENDS IN NEUROSCIENCES
(2023)
Review
Biochemistry & Molecular Biology
Valeria Parlatini, Takashi Itahashi, Yeji Lee, Siwei Liu, Thuan T. Nguyen, Yuta Y. Aoki, Stephanie J. Forkel, Marco Catani, Katya Rubia, Juan H. Zhou, Declan G. Murphy, Samuele Cortese
Summary: This study conducted a systematic review and meta-analysis of diffusion weighted imaging (DWI) studies to investigate abnormal anatomical brain connections in ADHD. The findings show white matter alterations in projection, commissural and association pathways, especially reduced fractional anisotropy (FA), which are associated with symptom severity and cognitive deficits. Despite some methodological limitations, these findings have important implications for understanding the brain effects of ADHD and guiding clinical interventions.
MOLECULAR PSYCHIATRY
(2023)
Article
Chemistry, Analytical
Gizem Yilmaz, Xingyu Lyu, Ju Lynn Ong, Lieng Hsi Ling, Thomas Penzel, B. T. Thomas Yeo, Michael W. L. Chee
Summary: This study utilized machine learning to predict nocturnal blood pressure using single-channel fingertip plethysmography. The results demonstrated the accuracy of the predictions, highlighting the potential for a cuffless method to continuously monitor blood pressure during sleep.
Article
Clinical Neurology
Gizem Yilmaz, Ju Lynn Ong, Lieng-Hsi Ling, Michael W. L. Chee
Summary: The study examines the changes in PPG waveform during sleep and its correlation with arterial elasticity and age effects. It finds that deeper sleep is associated with lower arterial stiffness and that age has a significant impact on these changes.
Article
Clinical Neurology
Adrian R. Willoughby, Iman Alikhani, Mari Karsikas, Xin Yu Chua, Michael W. L. Chee
Summary: Based on an analysis of 50 million nights of sleep data from 220,000 wearable device users in 35 countries, this study found that Asian countries have shorter and later sleep, lower sleep efficiency, and shorter weekend sleep extension compared to Europe and the USA. The study also suggests that cultural differences related to work may influence the variability in sleep patterns worldwide.
Article
Psychiatry
Wan Lin Yue, Kwun Kei Ng, Amelia Jialing Koh, Francesca Perini, Kinjal Doshi, Juan Helen Zhou, Julian Lim
Summary: Mindfulness-based interventions have shown promise in treating psychological disorders by improving cognition and emotion regulation. Understanding the underlying neural plasticity and functional brain changes associated with mindfulness interventions is important for current neuroimaging research. Previous studies have found functional brain changes during resting and task states, particularly in executive control, default mode, and salience networks. However, limited research has combined information from rest and task to study mindfulness-related functional changes, especially in the context of intervention studies with active controls. Recent work has discovered that the reconfiguration efficiency of brain activity patterns between rest and task is behaviorally relevant. In this study, we applied this measure to investigate how mindfulness intervention influenced functional reconfiguration between rest and a breath-counting task in elderly participants with sleep difficulties. By comparing the effects of a mindfulness-based therapy and an active control intervention, we found that mindfulness intervention improved self-reported mindfulness measures and brain functional reconfiguration efficiency in executive control, default mode, and salience networks. However, the brain and behavioral changes were not associated with each other. These findings suggest that regular mindfulness practice may induce neuroplasticity, bringing the intrinsic functional configuration of participants' brains closer to a state required for mindful awareness.
TRANSLATIONAL PSYCHIATRY
(2023)
Article
Clinical Neurology
Alyssa S. C. Ng, Stijn A. A. Massar, Bei Bei, Michael W. L. Chee
Summary: This study investigated the impact of sleep duration, timing, and efficiency on mood, motivation, and sleepiness levels. The results showed that longer sleep duration was associated with better mood, higher motivation, and lower sleepiness after waking, but the effects did not extend to the next day. Higher sleep duration variability was associated with poorer mood and lower motivation after waking. The findings suggest that sleep duration and variability have temporal circumscriptions on individuals' daily readiness.