NeuroImage最新文献

{"title":"UTE MRI for assessing demyelination in an mTBI mouse model: An open-field low-intensity blast study","authors":"Yajun Ma ,&nbsp;Qingbo Tang ,&nbsp;Xin Cheng ,&nbsp;Jiyo S. Athertya ,&nbsp;David Coughlin ,&nbsp;Eric Y. Chang ,&nbsp;Catherine E. Johnson ,&nbsp;Jiankun Cui ,&nbsp;Zezong Gu ,&nbsp;Jiang Du","doi":"10.1016/j.neuroimage.2025.121103","DOIUrl":"10.1016/j.neuroimage.2025.121103","url":null,"abstract":"<div><div>Mild traumatic brain injury (mTBI) is a leading cause of long-term disability. Following mTBI, secondary chemical cascades and neuroinflammation can result in myelin damage, significantly impairing cognitive function. This study aims to assess demyelination in mice with mTBI induced by open-field low-intensity blast (LIB) using a novel three-dimensional short repetition time adiabatic inversion recovery UTE (3D STAIR-UTE) magnetic resonance imaging (MRI) sequence. Thirty male C57BL/6 mice, with 15 experiencing mTBI and 15 serving as sham controls, were included in this study. Behavioral tests were performed starting at 5 days post-injury to assess motor activity and anxiety-like responses followed by STAIR-UTE imaging using a pre-clinical 3T MRI scanner. Additionally, a proton density-weighted UTE sequence was scanned alongside the STAIR-UTE for quantification of myelin proton fraction (MPF). Luxol fast blue (LFB) staining was performed to evaluate myelin changes between the mTBI group and the control group. The behavioral tests indicated decreased motor activity in the center zone and increased anxiety-like response in the mTBI mice compared to sham controls. The STAIR-UTE sequence revealed significantly lower MPFs in the corpus callosum of mTBI mice (8.4 ± 0.4 % vs. 8.7 ± 0.4 %; <em>P</em> = 0.003), consistent with the myelin reduction observed in the LFB staining (0.77 ± 0.22 vs. 1.09 ± 0.15; <em>P</em> = 0.004). Our findings demonstrate that the STAIR-UTE sequence facilitates quantitative myelin imaging at 3T MRI, enabling the detection of demyelination in the white matter of the mouse brain associated with alterations in motor and anxiety domains post-LIB exposure.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121103"},"PeriodicalIF":4.7,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distinguishing the roles of edge, color, and other surface information in basic and superordinate scene representation","authors":"Liansheng Yao ,&nbsp;Qiufang Fu ,&nbsp;Chang Hong Liu ,&nbsp;Jianyong Wang ,&nbsp;Zhang Yi","doi":"10.1016/j.neuroimage.2025.121100","DOIUrl":"10.1016/j.neuroimage.2025.121100","url":null,"abstract":"<div><div>The human brain possesses a remarkable ability to recognize scenes depicted in line drawings, despite that these drawings contain only edge information. It remains unclear how the brain uses this information alongside surface information in scene recognition. Here, we combined electroencephalogram (EEG) and multivariate pattern analysis (MVPA) methods to distinguish the roles of edge, color, and other surface information in scene representation at the basic category level and superordinate naturalness level over time. The time-resolved decoding results indicated that edge information in line drawings is both sufficient and more effective than in color photographs and grayscale images at the superordinate naturalness level. Meanwhile, color and other surface information are exclusively involved in neural representation at the basic category level. The time generalization analysis further revealed that edge information is crucial for representation at both levels of abstraction. These findings highlight the distinct roles of edge, color, and other surface information in dynamic neural scene processing, shedding light on how the human brain represents scene information at different levels of abstraction.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121100"},"PeriodicalIF":4.7,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stimulation of the anterior thalamus can modulate behavior in multiple cognitive domains.","authors":"Ha Neul Song, Yu Jin Rah, Ik Hyun Ryu, Jung Han Shin, Seunghoon Lee, Young-Min Shon, Sang Ah Lee","doi":"10.1016/j.neuroimage.2025.121101","DOIUrl":"https://doi.org/10.1016/j.neuroimage.2025.121101","url":null,"abstract":"<p><strong>Background: </strong>Deep Brain Stimulation (DBS) of the ATN (Anterior Thalamic Nuclei) has been used to treat refractory epilepsy. Despite the fact that ATN plays a crucial role in various cognitive functions, including emotional processing, memory, and spatial navigation, there is limited understanding of the effects of ATN-DBS across multiple cognitive domains.</p><p><strong>Objective: </strong>In order to gain insight into the variability in the cognitive effects of DBS across tasks and individuals, we investigated effects of ATN-DBS on multiple cognitive functions within the same patients and stimulation parameters.</p><p><strong>Methods: </strong>Eleven patients with refractory epilepsy participated in four cognitive behavioral tasks: Emotional Attention Network, Emotional Face Categorization, Word Recognition, and Head Direction. In each task, reaction time, emotional response, or accuracy was measured under on- and off-DBS conditions. Volumes of tissue activated (VTA) were also estimated to investigate target-specific effects on cognitions.</p><p><strong>Results: </strong>ATN-DBS facilitated attention following the presentation of a negative visual stimulus and increased the inclination to perceive a face as expressing an emotion. Furthermore, ATN-DBS disrupted the precision of head direction in the absence of visual cues. Although overall word recognition memory appeared unaffected by ATN-DBS, individual performance changes depended on the location of VTAs. Interestingly, modulations in one cognitive domain did not consistently result in changes in other domains.</p><p><strong>Conclusions: </strong>ATN-DBS can influence human behavior across multiple cognitive domains, but with varying degrees of individual difference across tasks. The findings emphasize the complexity of the ATN in its involvement in human cognition and provide novel insight into individualized methods for neuromodulation.</p>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":" ","pages":"121101"},"PeriodicalIF":4.7,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Atypical hierarchical brain connectivity in autism: Insights from stepwise causal analysis using Liang information flow","authors":"Shan Sun ,&nbsp;Fei Wang ,&nbsp;Fen Xu ,&nbsp;Yufeng Deng ,&nbsp;Jiwang Ma ,&nbsp;Kai Chen ,&nbsp;Sheng Guo ,&nbsp;X. San Liang ,&nbsp;Tao Zhang","doi":"10.1016/j.neuroimage.2025.121107","DOIUrl":"10.1016/j.neuroimage.2025.121107","url":null,"abstract":"<div><div>Autism spectrum disorder (ASD) is associated with atypical brain connectivity, yet its hierarchical organization remains underexplored. In this study, we applied the Liang information flow method to analyze stepwise causal functional connectivity in ASD, offering a novel approach to understanding how different brain networks interact. Using resting-state fMRI data from ASD individuals and healthy controls, we observed significant alterations in both positive and negative causal connections across the ventral attention network, limbic network, frontal-parietal network, and default mode network. These disruptions were detected at multiple hierarchical levels, indicating changes in communication patterns across brain regions. By leveraging features of hierarchical causal connectivity, we achieved high classification accuracy between ASD and healthy individuals. Additionally, changes in network node degrees were found to correlate with ASD clinical symptoms, particularly social and communication behaviors. Our findings provide new insights into disrupted hierarchical brain connectivity in ASD and demonstrate the potential of this approach for distinguishing ASD from typical development.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121107"},"PeriodicalIF":4.7,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-task exercise increases delta power in non-rapid eye movement sleep among older female adults: A randomized crossover trial","authors":"Jaehee Lee ,&nbsp;Koki Nagata ,&nbsp;Jaehoon Seol ,&nbsp;Insung Park ,&nbsp;Kumpei Tokuyama ,&nbsp;Masashi Yanagisawa ,&nbsp;Tomohiro Okura","doi":"10.1016/j.neuroimage.2025.121105","DOIUrl":"10.1016/j.neuroimage.2025.121105","url":null,"abstract":"<div><div>Delta power in electroencephalography during sleep has been used as a more quantitative approach to determine sleep depth and quality. Despite the positive effects of both exercise and cognitive activity on delta power during sleep, limited information is available regarding the effects of multi-task exercise, which combines these two activities. Therefore, this study aimed to investigate the impact of multi-task exercise on delta power during sleep. Fifteen older female adults participated in both multi-task and single-task exercises at low and moderate-to-vigorous intensities for 30 min each. Sleep architecture was recorded using polysomnography to compare the amount of delta power during sleep. Additionally, cortical hemodynamic changes in the prefrontal cortex were monitored using functional near-infrared spectroscopy before and after each exercise session. Low-intensity multi-task exercise increased cortical activation in the right and left ventrolateral prefrontal cortex and frontopolar area, which positively correlated with the increase in delta power. This study provides the first experimental evidence that low-intensity multi-task exercise enhances cortical activation in the prefrontal cortex of older female adults, leading to an increase in delta power during sleep. It also suggests that low-intensity multi-task exercise may be a more useful intervention for improving sleep quality in older adults.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121105"},"PeriodicalIF":4.7,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic changes in brain function during sleep deprivation: Increased occurrence of non-stationary states indicates the extent of cognitive impairment","authors":"Ziliang Xu ,&nbsp;Chaozong Ma ,&nbsp;Chen Wang ,&nbsp;Fan Guo ,&nbsp;Minwen Zheng ,&nbsp;Peng Fang ,&nbsp;Yuanqiang Zhu","doi":"10.1016/j.neuroimage.2025.121099","DOIUrl":"10.1016/j.neuroimage.2025.121099","url":null,"abstract":"<div><h3>Objective</h3><div>The brain networks are inherently dynamic, constantly adjusting and reorganizing over time; therefore, the cognitive impairment caused by sleep deprivation (SD) should also exhibit dynamism. However, previous studies on SD that have provided valuable insights predominantly rely on static functional connectivity (FC) analysis. Hence, this study aims to employ dynamical FC (DFC) analysis to capture the dynamic changes in cognitive impairment during SD.</div></div><div><h3>Methods</h3><div>The data from 32 subjects, encompassing resting state and psychomotor vigilance task (PVT) functional magnetic resonance imaging data collected at five different timepoints (22:00, 00:00, 02:00, 04:00 and 06:00) during a whole night were acquired. Dynamic functional connectivity (DFC) analysis was employed to assess alterations in brain states across the five timepoints, resulting in the identification of three distinct DFC states.</div></div><div><h3>Results</h3><div>After conducting ANOVA analysis, significant changes were observed in the fraction rate of state 1 (non-stationary state) across five timepoints in both resting and task conditions. The transition time corresponding to state 1 consistently showed an increase over time. Furthermore, task condition-related DFC metrics, particularly those associated with state 1, exhibited significant correlations with PVT metrics across five timepoints as well as their changes.</div></div><div><h3>Conclusions</h3><div>The collective findings suggest that cognitive impairment resulting from sleep deprivation is a dynamic process, with state 1-related indicators exerting the most significant influence on cognition.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"309 ","pages":"Article 121099"},"PeriodicalIF":4.7,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the effects of calibration errors on the spatial resolution of OPM-MEG beamformer imaging","authors":"Shengjie Qi ,&nbsp;Xinda Song ,&nbsp;Le Jia ,&nbsp;Zhaoxin Duan ,&nbsp;Yan Dai ,&nbsp;Jing Zhang ,&nbsp;Xiaolin Ning","doi":"10.1016/j.neuroimage.2025.121078","DOIUrl":"10.1016/j.neuroimage.2025.121078","url":null,"abstract":"<div><div>The use of optically pumped magnetometers (OPMs) has provided a feasible, moveable and wearable alternative to superconducting detectors for magnetoencephalography (MEG) measurements. Recently, the widely used beamformer imaging technique has greatly improved spatial accuracy of MEG in the field of source reconstruction of neuroimaging. The spatial resolution of the source reconstruction using beamformer imaging technique was explored in the present study. The spatial accuracy of a beamformer reconstruction depends on accurate estimation of the data covariance matrix and lead field. In practical measurements, many sensor calibration errors including the gain error, crosstalk and angular error of the sensitive axis of OPMs due to for example, the low frequency magnetic field drift will distort the measured data as well as the forward model and thus reduce spatial resolution. The theory of OPM calibration errors was first provided based on the Bloch equations. The calibration errors are then quantified using the self-developed OPM array. And an analytical relationship between the Frobenius norm of the covariance matrix error and gain error, crosstalk was derived. The relationship between point-spread function (PSF) and the forward model error caused by the angular error of sensitive axis was analyzed. Finally, the effects of calibration errors on spatial resolution of OPM-MEG were investigated using simulations of two dipoles with orthogonal signals at the source level based on realistic head models. We find the presence of calibration errors will decrease the spatial resolution of beamformer reconstruction. And this decrease will become more severe as the signal-to-noise ratio increases.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"310 ","pages":"Article 121078"},"PeriodicalIF":4.7,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143523941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotional content and semantic structure of dialogues are associated with Interpersonal Neural Synchrony in the Prefrontal Cortex","authors":"Alessandro Carollo ,&nbsp;Massimo Stella ,&nbsp;Mengyu Lim ,&nbsp;Andrea Bizzego ,&nbsp;Gianluca Esposito","doi":"10.1016/j.neuroimage.2025.121087","DOIUrl":"10.1016/j.neuroimage.2025.121087","url":null,"abstract":"<div><div>A fundamental characteristic of social exchanges is the synchronization of individuals’ behaviors, physiological responses, and neural activity. However, the association between how individuals communicate in terms of emotional content and expressed associative knowledge and interpersonal synchrony has been scarcely investigated so far. This study addresses this research gap by bridging recent advances in cognitive neuroscience data, affective computing, and cognitive data science frameworks. Using functional near-infrared spectroscopy (fNIRS) hyperscanning, prefrontal neural data were collected during social interactions involving 84 participants (i.e., 42 dyads) aged 18–35 years. Wavelet transform coherence was used to assess interpersonal neural synchrony between participants. We used manual transcription of dialogues and automated methods to codify transcriptions as emotional levels and syntactic/semantic networks. Our quantitative findings reveal higher than random expectations levels of interpersonal neural synchrony in the superior frontal gyrus (<em>q</em> = .038) and the bilateral middle frontal gyri (<em>q</em> <span><math><mo>&lt;</mo></math></span> .001, <em>q</em> <span><math><mo>&lt;</mo></math></span> .001). Linear mixed models based on dialogues’ emotional content only significantly predicted interpersonal neural synchrony across the prefrontal cortex (<span><math><mrow><msubsup><mrow><mi>R</mi></mrow><mrow><mi>m</mi><mi>a</mi><mi>r</mi><mi>g</mi><mi>i</mi><mi>n</mi><mi>a</mi><mi>l</mi></mrow><mrow><mn>2</mn></mrow></msubsup><mo>=</mo><mn>3</mn><mo>.</mo><mn>62</mn><mtext>%</mtext></mrow></math></span>). Conversely, models relying on syntactic/semantic features were more effective at the local level, for predicting brain synchrony in the right middle frontal gyrus (<span><math><mrow><msubsup><mrow><mi>R</mi></mrow><mrow><mi>m</mi><mi>a</mi><mi>r</mi><mi>g</mi><mi>i</mi><mi>n</mi><mi>a</mi><mi>l</mi></mrow><mrow><mn>2</mn></mrow></msubsup><mo>=</mo><mn>9</mn><mo>.</mo><mn>97</mn><mtext>%</mtext></mrow></math></span>). Generally, models based on the emotional content of dialogues were not effective when limited to data from one region of interest at a time, whereas models based on syntactic/semantic features show the opposite trend, losing predictive power when incorporating data from all regions of interest. Moreover, we found an interplay between emotions and associative knowledge in predicting brain synchrony, providing quantitative support to the major role played by these linguistic components in social interactions and in prefrontal processes. Our study identifies a mind-brain duality in emotions and associative knowledge reflecting neural synchrony levels, opening new ways for investigating human interactions.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"309 ","pages":"Article 121087"},"PeriodicalIF":4.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age and gender-related patterns of arterial transit time and cerebral blood flow in healthy adults","authors":"Zongpai Zhang ,&nbsp;Elizabeth Riley ,&nbsp;Shichun Chen ,&nbsp;Li Zhao ,&nbsp;Adam K. Anderson ,&nbsp;Eve DeRosa ,&nbsp;Weiying Dai","doi":"10.1016/j.neuroimage.2025.121098","DOIUrl":"10.1016/j.neuroimage.2025.121098","url":null,"abstract":"<div><div>Normal aging has been associated with increased arterial transit time (ATT) and reduced cerebral blood flow (CBF). However, age-related patterns of ATT and CBF and their relationship remain unclear. This is partly due to the lengthy scan times required for ATT measurements, which caused previous age-related CBF studies to not fully account for transit time. In this work, we aimed to elucidate age-related ATT and ATT-corrected CBF patterns. We examined 131 healthy subjects aged 19 to 82 years old using two pseudo-continuous arterial spin labeling (PCASL) MRI scans: one to measure fast low-resolution ATT maps with five post-labeling delay and the other to measure high-resolution perfusion-weighted maps with a single post-labeling delay. Both ATT and perfusion-weighed maps were applied with vessel suppression. We found that ATT increases with age in the frontal, temporoparietal, and occipital regions, with a more pronounced elongation in males compared to females in the middle temporal gyrus. ATT-corrected CBF decreases with age in several brain regions, including the anterior cingulate, insula, posterior cingulate, angular, precuneus, supramarginal, frontal, parietal, superior and middle temporal, occipital, and cerebellar regions, while remaining stable in the inferior temporal and subcortical regions. In contrast, without ATT correction, we detected artifactual decreases in the inferior temporal and precentral regions. These findings suggest that ATT provides valuable and independent insights into microvascular deficits and should be incorporated into CBF measurements for studies involving aging populations.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"309 ","pages":"Article 121098"},"PeriodicalIF":4.7,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143483594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Test-retest reliability of coupling between cerebrospinal fluid flow and global brain activity after normal sleep and sleep deprivation","authors":"Weiwei Zhao ,&nbsp;Joy Rao ,&nbsp;Ruosi Wang ,&nbsp;Ya Chai ,&nbsp;Tianxin Mao ,&nbsp;Peng Quan ,&nbsp;Yao Deng ,&nbsp;Wenwen Chen ,&nbsp;Shilei Wang ,&nbsp;Bowen Guo ,&nbsp;Qingyun Zhang ,&nbsp;Hengyi Rao","doi":"10.1016/j.neuroimage.2025.121097","DOIUrl":"10.1016/j.neuroimage.2025.121097","url":null,"abstract":"<div><div>The glymphatic system (GS) plays a key role in maintaining brain homeostasis by clearing metabolic waste during sleep, with the coupling between global blood-oxygen-level-dependent (gBOLD) and cerebrospinal fluid (CSF) signals serving as a potential marker for glymphatic clearance function. However, the test-retest reliability and spatial heterogeneity of gBOLD-CSF coupling after different sleep conditions remain unclear. In this study, we assessed the test-retest reliability of gBOLD-CSF coupling following either normal sleep or total sleep deprivation (TSD) in 64 healthy adults under controlled laboratory conditions. The reliability was high after normal sleep (ICC = 0.763) but decreased following TSD (ICC = 0.581). Moreover, spatial heterogeneity was evident in participants with normal sleep, with lower-order networks (visual, somatomotor, and attention) showing higher ICC values compared to higher-order networks (default-mode, limbic, and frontoparietal). This spatial variation was less distinct in the TSD group. These results demonstrate the robustness of the gBOLD-CSF coupling method and emphasize the significance of considering sleep history in glymphatic function research.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"309 ","pages":"Article 121097"},"PeriodicalIF":4.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143476851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}