Hard to initiate sleep: a new paradigm for resting-state fMRI

Yang, Tingting; Dong, Xiaojuan; Lei, Xu

doi:10.1007/s11571-020-09659-6

Cited by 3 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has also been proven that mind wandering and visual thoughts during sleep onset are strongly related to the default mode network (DMN) and visual network [ 21 , 22 ]. Yang et al found that the functional connectivity (FC) between the DMN and visual network was weakened while the information exchange within the visual network was enhanced in people who suffered from sleep initiation problems [ 23 ]. Previous neuroimaging studies have reported that abnormal functional activity in patients with ID is mainly in brain regions related to emotion awareness, cognition processes, and goal-directed behavior, including the frontal gyrus, amygdala, cingulate cortex, insula, and hippocampus [ 20 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Abnormal alterations of regional spontaneous neuronal activity and functional connectivity in insomnia patients with difficulty falling asleep: a resting-state fMRI study

Jiang,

Yin,

Zhu

et al. 2023

BMC Neurol

View full text Add to dashboard Cite

Background Insomnia disorder (ID) seriously affects people’s daily life. Difficulty falling asleep is the most commonly reported complaint in patients with ID. However, the mechanism of prolonged sleep latency (SL) is still obscure. The aim of our present study was to investigate the relationship between prolonged SL and alterations in spontaneous neural activity and brain functional connectivity (FC) in ID patients using functional magnetic resonance imaging (fMRI). Methods A total of 52 insomniacs with difficulty falling asleep and 30 matched healthy controls (HCs) underwent resting-state fMRI. The amplitude of low-frequency fluctuation (ALFF) was measured and group differences were compared. The peak areas with significantly different ALFF values were identified as the seed regions to calculate FC to the whole brain. SL was assessed by a wrist actigraphy device in ID patients. The Pittsburgh Sleep Quality Index (PSQI), Hamilton Anxiety Rating Scale (HAMA), and Hyperarousal Scale (HAS) were evaluated in both ID patients and HCs. Finally, correlation analyses were performed between the clinical features and FC/ALFF values. Results ID patients showed higher PSQI, HAMA, HAS scores than HCs. The functional MRI results indicated increased ALFF value in the left insula and right amygdala and decreased ALFF value in the right superior parietal lobe (SPL) in ID patients. The seed-based FC analysis demonstrated increased FC between the left insula and the bilateral precentral gyrus and FC between the right amygdala and the left posterior cingulate cortex (PCC) in patients with ID. Correlation analysis indicated that the increased FC value of the right amygdala-left PCC was positively correlated with SL measured by actigraphy. Conclusion This study revealed abnormal regional spontaneous fluctuations in the right amygdala, left insula, and right SPL, as well as increased FC in the left insula-precentral and right amygdala-left PCC. Moreover, the prolonged SL was positively correlated with the abnormal FC in the right amygdala-left PCC in ID patients. The current study showed the correlation between prolonged SL and the abnormal function of emotion-related brain regions in ID patients, which may contribute to a better understanding of the neural mechanisms underlying difficulty falling asleep in patients with ID. Clinical Trial Registration http://www.chictr.org.cn., ChiCTR1800015282. Registered on 20th March 2018.

show abstract

Section: Introductionmentioning

confidence: 99%

Abnormal alterations of regional spontaneous neuronal activity and functional connectivity in insomnia patients with difficulty falling asleep: a resting-state fMRI study

Jiang,

Yin,

Zhu

et al. 2023

BMC Neurol

View full text Add to dashboard Cite

show abstract

“…Functional connectivity is defined as the temporal correlation between spatial remote neurophysiological events (9) and is essentially employed to measure the degree of dependence or correlation between signals collected by relevant techniques, such as functional magnetic resonance imaging (fMRI) (10)(11)(12), diffusion tensor imaging (DTI) (13) and EEG (14,15), etc. Compared with fMRI and DTI, EEG has millisecond-level time resolution, which makes it more suitable for visualizing brain neural activities, and easier to reflect changes in brain activity in the temporal dimension (16) as well.…”

Section: Introductionmentioning

confidence: 99%

EEG-FCV: An EEG-Based Functional Connectivity Visualization Framework for Cognitive State Evaluation

Zeng

Jin

et al. 2022

Front. Psychiatry

View full text Add to dashboard Cite

Electroencephalogram (EEG)-based tools for brain functional connectivity (FC) analysis and visualization play an important role in evaluating brain cognitive function. However, existing similar FC analysis tools are not only visualized in 2 dimensions (2D) but also are highly prone to cause visual clutter and unable to dynamically reflect brain connectivity changes over time. Therefore, we design and implement an EEG-based FC visualization framework in this study, named EEG-FCV, for brain cognitive state evaluation. EEG-FCV is composed of three parts: the Data Processing module, Connectivity Analysis module, and Visualization module. Specially, FC is visualized in 3 dimensions (3D) by introducing three existing metrics: Pearson Correlation Coefficient (PCC), Coherence, and PLV. Furthermore, a novel metric named Comprehensive is proposed to solve the problem of visual clutter. EEG-FCV can also visualize dynamically brain FC changes over time. Experimental results on two available datasets show that EEG-FCV has not only results consistent with existing related studies on brain FC but also can reflect dynamically brain FC changes over time. We believe EEG-FCV could prompt further progress in brain cognitive function evaluation.

show abstract

Reconfigurations of dynamic functional network connectivity after 1HZ repetitive transcranial magnetic stimulation in insomnia disorder

Xin,

Xue,

Cheng

et al. 2025

Sleep Medicine

View full text Add to dashboard Cite

Hard to initiate sleep: a new paradigm for resting-state fMRI

Cited by 3 publications

References 31 publications

Abnormal alterations of regional spontaneous neuronal activity and functional connectivity in insomnia patients with difficulty falling asleep: a resting-state fMRI study

Abnormal alterations of regional spontaneous neuronal activity and functional connectivity in insomnia patients with difficulty falling asleep: a resting-state fMRI study

EEG-FCV: An EEG-Based Functional Connectivity Visualization Framework for Cognitive State Evaluation

Reconfigurations of dynamic functional network connectivity after 1HZ repetitive transcranial magnetic stimulation in insomnia disorder

Contact Info

Product

Resources

About