NeuroImage最新文献

{"title":"Chronic blue light exposure induced spatial anxiety in an adolescent mouse model: Per2 upregulation and altered brain resting-state functional activity","authors":"Yu-Lin Hsieh ,&nbsp;Sheng-Min Huang ,&nbsp;Sebastian Yu ,&nbsp;Tzu-Ning Chao ,&nbsp;Chia-Wen Chiang ,&nbsp;Yu-Yu Kan ,&nbsp;Ying-Shuang Chang ,&nbsp;Li-Wei Kuo ,&nbsp;Hsin-Su Yu","doi":"10.1016/j.neuroimage.2025.121259","DOIUrl":"10.1016/j.neuroimage.2025.121259","url":null,"abstract":"<div><h3>Background</h3><div>Blue light (BL) is the primary component of light emitted from 3C devices. The use of 3C (computers, consumer electronics, and communication) devices has been increasing among all age groups. How social interaction and spatial cognition are affected in adolescents after long-term 3C device usage at night remains unclear.</div></div><div><h3>Methods</h3><div>Five-week-old mice were exposed to BL. Subsequently, these mice were subjected to social behavior tests, functional magnetic resonance imaging, and histopathologic analyses.</div></div><div><h3>Results</h3><div>BL exposure increased spatial anxiety but did not affect sociability, social novelty, or motor coordination. Also, BL exposure altered brain connectivity in the hippocampus (Hip), thalamus, and striatum, and it reduced brain activity in the retrosplenial cortex and dorsal part of the Hip. Spatial anxiety was associated with brain alterations. Although BL exposure reduced the size of retinal oligodendrocytes and increased the expression of the Period 2 circadian protein, it did not result in brain inflammation, at least not in the Hip.</div></div><div><h3>Conclusion</h3><div>Our findings highlight that long-term BL exposure in adolescents induces spatial anxiety. The underlying mechanisms include changes in brain activity and connectivity and the disruption of the circadian rhythm.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"314 ","pages":"Article 121259"},"PeriodicalIF":4.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144033905","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":"Effect of sleep deprivation on fractal and oscillatory spectral measures of the sleep EEG: A window on basic regulatory processes","authors":"Csenge G․ Horváth,&nbsp;Róbert Bódizs","doi":"10.1016/j.neuroimage.2025.121260","DOIUrl":"10.1016/j.neuroimage.2025.121260","url":null,"abstract":"<div><div>Sleep is vital for sustaining life; therefore, reliable measurement of its regulatory processes is of significant importance in research and medicine. Here we examine the effect of extended wakefulness on the putative indicators of fundamental sleep regulatory processes (spectral slope and spindle frequency) proposed by the Fractal and Oscillatory Adjustment model of sleep regulation by involving a healthy young adult sample in a 35-hour long sleep deprivation protocol. Wearable headband EEG-derived results revealed that NREM sleep electroencephalogram (EEG) spectral slope estimated in the 2–48 Hz range is an accurate indicator of the predicted changes in sleep depth induced by sleep deprivation (steepened slopes in recovery sleep) or by the overnight dissipation of sleep pressure (flattening slopes during successive sleep cycles). While the baseline overnight dynamics of the center frequency of the sleep spindle oscillations followed a U-shaped curve, and the timing of its minimum (the presumed phase indicator) correlated with questionnaire-based chronotype metrics as predicted, a different picture emerged during recovery sleep. Advanced recovery sleep advanced the timing of the minima of the oscillatory spindle frequency, reduced considerably its relationship with chronotype, but retained partially its U-shaped overnight evolution. Overall, our study supports the use of the spectral slope of the sleep EEG as a homeostatic marker of wake-sleep regulation, in addition, encourages further research on the EEG-derived measure of the circadian rhythm, primarily focusing on its interaction with the homeostatic process.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"314 ","pages":"Article 121260"},"PeriodicalIF":4.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936842","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":"From simulation to clinic: Assessing the required channel count for effective clinical use of OPM-MEG systems","authors":"Bing Yan ,&nbsp;Yuming Peng ,&nbsp;Yixiang Zhang,&nbsp;Yun Zhang,&nbsp;Haonan Zhang,&nbsp;Yifu Cao,&nbsp;Chang Sun,&nbsp;Ming Ding","doi":"10.1016/j.neuroimage.2025.121262","DOIUrl":"10.1016/j.neuroimage.2025.121262","url":null,"abstract":"<div><div>The channel count in an Optically Pumped Magnetometer Magnetoencephalography (OPM-MEG) system plays a pivotal role in determining its overall performance. While existing research consistently highlights that a greater number of channels enhances system capabilities, practical constraints such as sensor placement on the head, inter-channel interference, and cost-efficiency impose limitations on channel scalability. Additionally, the optimal channel count required for clinical applications of OPM-MEG remains unclear. In this study, we systematically investigate the impact of channel count on OPM-MEG performance by integrating simulations, phantom experiments, and human MEG experiments. Four configurations with varying channel counts (16, 32, 64, and 128) are evaluated. Specifically, systems with fewer channels (e.g., 16 channels) encounter significant challenges in meeting the demands of clinical MEG applications. In contrast, a 64-channel OPM-MEG system demonstrates performance metrics—such as signal-to-noise ratio (SNR) and localization accuracy—that are comparable to those of a 306-channel Superconducting Quantum Interference Device MEG (SQUID-MEG) system. Notably, a 128-channel OPM-MEG system surpasses the 306-channel SQUID-MEG system, achieving superior results. This work provides a detailed exploration of the relationship between channel count and OPM-MEG system performance, analyzing how many channels of the OPM-MEG system are suitable for clinical applications. By combining simulation-based evaluations with empirical measurements, we found that it is crucial to carefully select the appropriate number of channels based on the specific usage requirements in clinical applications.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"314 ","pages":"Article 121262"},"PeriodicalIF":4.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144021813","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":"In vivo cortical microstructure mapping using high-gradient diffusion MRI accounting for intercompartmental water exchange effects","authors":"Tanxin Dong ,&nbsp;Hong-Hsi Lee ,&nbsp;Han Zang ,&nbsp;Hansol Lee ,&nbsp;Qiyuan Tian ,&nbsp;Liang Wan ,&nbsp;Qiuyun Fan ,&nbsp;SusieY. Huang","doi":"10.1016/j.neuroimage.2025.121258","DOIUrl":"10.1016/j.neuroimage.2025.121258","url":null,"abstract":"<div><div>In recent years, mapping tissue microstructure in the cortex using high gradient diffusion MRI has received growing attention. The Soma And Neurite Density Imaging (SANDI) explicitly models the soma compartment in the cortex assuming impermeable membranes. As such, it does not account for diffusion time dependence due to water exchange in the estimated microstructural properties, as neurites in gray matter are much less myelinated than in white matter.</div><div>In this work, we performed a systematic evaluation of an extended SANDI model for <em>in vivo</em> human cortical microstructural mapping that accounts for water exchange effects between the neurite and extracellular compartments using the anisotropic Kärger model. We refer to this model as <em>in vivo</em> SANDIX, adapting the nomenclature from previous publications. As in the original SANDI model, the soma compartment is modeled as an impermeable sphere due to the much smaller surface-to-volume ratio compared to the neurite compartment. A Monte Carlo simulation study was performed to examine the sensitivity of the <em>in vivo</em> SANDIX model to sphere radii, compartment fractions, and water exchange times. The simulation results indicate that the proposed <em>in vivo</em> SANDIX framework can account for the water exchange effect and provide measures of intra-soma and intra-neurite signal fractions without spurious time-dependence in estimated parameters, whereas the measured water exchange times need to be interpreted with caution. The model was then applied to <em>in vivo</em> diffusion MRI data acquired in 13 healthy adults on the 3-Tesla Connectome MRI scanner equipped with 300 mT/m gradients. The <em>in vivo</em> results exhibited patterns that were consistent with corresponding anatomical characteristics in both cortex and white matter. In particular, the estimated water exchange times in gray and white matter were distinct and differentiated between the two tissue types.</div><div>Our results show the SANDIX approach applied to high-gradient diffusion MRI data achieves cortical microstructure mapping of the <em>in vivo</em> human brain with the evaluation of water exchange effects. This approach potentially provides a more appropriate description of <em>in vivo</em> cortical microstructure for improving data interpretation in future neurobiological studies.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"314 ","pages":"Article 121258"},"PeriodicalIF":4.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144012401","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":"Impact of experimental inflammation on the neuronal processing of cardiac interoceptive signals and heart rate variability in humans","authors":"Vera Flasbeck ,&nbsp;Manfred Schedlowski ,&nbsp;Martin Brüne ,&nbsp;Harald Engler","doi":"10.1016/j.neuroimage.2025.121257","DOIUrl":"10.1016/j.neuroimage.2025.121257","url":null,"abstract":"<div><div>Interoception, or the perception of internal somatic states, is crucial for signaling the individual to take care of the body when needed. It enables behavioral adaptations to sickness states, which further impact autonomic nervous system (ANS) activity. Whether acute inflammation affects interoceptive processing and how this relates to sickness behavior remains unknown. Therefore, we investigated interoceptive processing in participants undergoing experimental endotoxemia. In neuroimaging research, heartbeat-evoked potentials (HEP) - defined as event-related potentials time-locked to electrocardiogram (ECG) R-waves during electroencephalogram (EEG) recordings - have emerged as a promising metric for cardiac interoceptive processing. We analyzed the effects of intravenous administration of lipopolysaccharide (LPS; 0.4 ng/kg) or placebo, on HEP amplitudes and ANS functioning in healthy, female participants (<em>n</em> = 52) during 8 min resting-state EEG and ECG recordings before and 2 h after injections. Our results showed increased cortisol and cytokine levels in the LPS group, along with increased sympathetic and decreased parasympathetic activity 2 h after injections compared to the placebo group. Placebo-injected participants exhibited lower post injection-baseline differences in HEP amplitudes in an early timeframe (255–455 ms), indicating lower HEPs 2 h after administrations. Moreover, post-injection HEP amplitudes differed between groups, suggesting that while participants in the placebo group showed altered HEP amplitudes after injection, HEPs remained unresponsive to LPS administration. These findings are discussed in the context of predictive processing, expectation violation and attention direction to external and interoceptive cues. Future research should further investigate the role of LPS dose and explore behavioral measures of interoception under experimental inflammation.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"314 ","pages":"Article 121257"},"PeriodicalIF":4.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936268","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":"Time-dependent scale-free brain dynamics during naturalistic inputs","authors":"Philipp Klar ,&nbsp;Yasir Çatal ,&nbsp;Gerhard Jocham ,&nbsp;Robert Langner ,&nbsp;Georg Northoff","doi":"10.1016/j.neuroimage.2025.121255","DOIUrl":"10.1016/j.neuroimage.2025.121255","url":null,"abstract":"<div><div>Environmental processes, such as auditory and visual inputs, often follow power-law distributions with a time-dependent and constantly changing spectral exponent, β(t). However, it remains unclear how the brain’s scale-free dynamics continuously respond to naturalistic inputs, such as by potentially alternating instead of static levels of the spectral exponent. Our fMRI study investigates the brain’s dynamic, time-dependent spectral exponent, β(t), during movie-watching, and uses time-varying inter-subject correlation, ISC(t), to assess the extent to which input dynamics are reflected as shared brain activity across subjects in early sensory regions. Notably, we investigate the level of ISC particularly based on the modulation by time-dependent scale-free dynamics or β(t). We obtained three key findings: First, the brain’s β(t) showed a distinct temporal structure in visual and auditory regions during naturalistic inputs compared to the resting-state, investigated in the 7 Tesla Human Connectome Project dataset. Second, β(t) and ISC(t) were positively correlated during naturalistic inputs. Third, grouping subjects based on the Rest-to-Movie standard deviation change of the time-dependent spectral exponent β(t) revealed that the brain’s relative shift from intrinsic to stimulus-driven scale-free dynamics modulates the level of shared brain activity, or ISC(t), and thus the imprinting of inputs on brain activity. This modulation was further supported by the observation that the two groups displayed significantly different β(t)-ISC(t) correlations, where the group with a higher mean of ISC(t) during inputs also exhibited a higher β(t)-ISC(t) correlation in visual and auditory regions. In summary, our fMRI study underscores a positive relationship between time-dependent scale-free dynamics and ISC, where higher spectral exponents correspond to higher degrees of shared brain activity during ongoing audiovisual inputs.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"314 ","pages":"Article 121255"},"PeriodicalIF":4.7,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942129","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":"Robust computation of subcortical functional connectivity guided by quantitative susceptibility mapping: An application in Parkinson’s disease diagnosis","authors":"Jianmei Qin ,&nbsp;Haoting Wu ,&nbsp;Chenqing Wu ,&nbsp;Tao Guo ,&nbsp;Cheng Zhou ,&nbsp;Xiaojie Duanmu ,&nbsp;Sijia Tan ,&nbsp;Jiaqi Wen ,&nbsp;Qianshi Zheng ,&nbsp;Weijin Yuan ,&nbsp;Zihao Zhu ,&nbsp;Jingwen Chen ,&nbsp;Jingjing Wu ,&nbsp;Chenyu He ,&nbsp;Yiran Ma ,&nbsp;Chunlei Liu ,&nbsp;Xiaojun Xu ,&nbsp;Xiaojun Guan ,&nbsp;Minming Zhang","doi":"10.1016/j.neuroimage.2025.121256","DOIUrl":"10.1016/j.neuroimage.2025.121256","url":null,"abstract":"<div><div>Previous resting state functional MRI (rs-fMRI) analyses of the basal ganglia in Parkinson’s disease heavily relied on T1-weighted imaging (T1WI) atlases. However, subcortical structures are characterized by subtle contrast differences, making their accurate delineation challenging on T1WI. In this study, we aimed to introduce and validate a method that incorporates quantitative susceptibility mapping (QSM) into the rs-fMRI analytical pipeline to achieve precise subcortical nuclei segmentation and improve the stability of RSFC measurements in Parkinson’s disease. A total of 321 participants (148 patients with Parkinson’s Disease and 173 normal controls) were enrolled. We performed cross-modal registration at the individual level for rs-fMRI to QSM (FUNC2QSM) and T1WI (FUNC2T1), respectively.The consistency and accuracy of resting state functional connectivity (RSFC) measurements in two registration approaches were assessed by intraclass correlation coefficient and mutual information. Bootstrap analysis was performed to validate the stability of the RSFC differences between Parkinson’s disease and normal controls. RSFC-based machine learning models were constructed for Parkinson’s disease classification, using optimized hyperparameters (RandomizedSearchCV with 5-fold cross-validation). The consistency of RSFC measurements between the two registration methods was poor, whereas the QSM-guided approach showed better mutual information values, suggesting higher registration accuracy. The disruptions of RSFC identified with the QSM-guided approach were more stable and reliable, as confirmed by bootstrap analysis. In classification models, the QSM-guided method consistently outperformed the T1WI-guided method, achieving higher test-set ROC-AUC values (FUNC2QSM: 0.87–0.90, FUNC2T1: 0.67–0.70). The QSM-guided approach effectively enhanced the accuracy of subcortical segmentation and the stability of RSFC measurement, thus facilitating future biomarker development in Parkinson’s disease.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"314 ","pages":"Article 121256"},"PeriodicalIF":4.7,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144036875","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":"Setting the tone for the day: Cortisol awakening response proactively modulates fronto-limbic circuitry for emotion processing","authors":"Changming Chen ,&nbsp;Bingsen Xiong ,&nbsp;Wenlong Tan ,&nbsp;Yanqiu Tian ,&nbsp;Shouwen Zhang ,&nbsp;Jianhui Wu ,&nbsp;Peng Song ,&nbsp;Shaozheng Qin","doi":"10.1016/j.neuroimage.2025.121251","DOIUrl":"10.1016/j.neuroimage.2025.121251","url":null,"abstract":"<div><div>The cortisol awakening response (CAR) has been linked to a variety of emotion-related psychiatric conditions and is proposed to prepare the brain for upcoming stress and challenges. Yet, the underlying neurobiological mechanisms of such proactive effects on emotional processing remain elusive. In the current double-blinded, pharmacologically-manipulated study, 36 male adults (DXM group) received cortisol-repressive dexamethasone on the previous night, then performed the Emotional Face Matching Task (EFMT) during fMRI scanning the next afternoon. Relative to the placebo group (31 male adults), the DXM group exhibited lower accuracy in the emotion matching condition, but not in the sensorimotor control condition. Psychophysiological interaction (PPI) analyses revealed significant task-by-group interaction involving the right and left amygdala, but not the medial orbitofrontal cortex (MOFC) or hippocampus. Specifically, the DXM group exhibited stronger functional connectivity between the right amygdala and left dorsolateral prefrontal cortex (lDLPFC) during emotion condition but reduced connectivity in the same network during control condition, as compared to the placebo group. Meanwhile, the DXM group exhibited weaker left amygdala–right posterior middle temporal gyrus (rMTG) connectivity than the placebo group during control condition, but there was no group effect in the connectivity during emotion condition. These results indicate that the CAR proactively modulates fronto-limbic functional organization for emotion processing in male adults. Our findings support a causal link between CAR and its proactive effects on emotional processing, and suggest a model of CAR-mediated brain preparedness where CAR sets a tonic tone for the upcoming day to actively regulate neuroendocrinological responses to emotionally charged stimuli on a moment-to-moment basis.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"315 ","pages":"Article 121251"},"PeriodicalIF":4.7,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143983533","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":"Semantic processing of argument structure during naturalistic story listening: Evidence from computational modeling on fMRI","authors":"Tianze Xu ,&nbsp;Jixing Li ,&nbsp;Xiaoming Jiang","doi":"10.1016/j.neuroimage.2025.121253","DOIUrl":"10.1016/j.neuroimage.2025.121253","url":null,"abstract":"<div><div>A long-standing theoretical debate exists in linguistics concerning argument structure processing, with separationism focusing on syntactic structure and projectionism on semantic properties. To investigate whether argument structure processing is primarily influenced by syntactic structure or semantic properties, this study employed integrative neurocomputational modeling to link brain functions with explicitly defined computational models. We analyzed naturalistic functional magnetic resonance imaging (fMRI) data from participants listening to a story, with a focus on <em>subject noun phrase + verb</em> chunks. The methodological framework integrated a general linear model (GLM) analysis of the fMRI data with computational modeling using natural language processing algorithms. These components were integrated using representational similarity analysis (RSA), allowing us to assess the relatedness of two symbolic computational models—one relying on syntactic information from parse trees and the other based on semantic selectional preference information of verbs—to brain activities. The GLM analysis identified significant neural correlates of argument structure processing largely consistent with previous findings, including the precuneus, the right superior temporal gyrus, and the right middle temporal gyrus. Some deviations from previous studies likely reflect the naturalistic nature of the stimuli and our contrast design. The RSA results favored the model utilizing semantic information—a finding further supported by effects observed in brain regions associated with argument structure processing in the literature and by an additional RSA comparing constructions with varying levels of transitivity. These findings suggest that during naturalistic story listening, humans rely heavily on semantic information to interpret argument structure. This study demonstrates an alternative method to engage with the debate on argument structure, highlighting a collaborative effort between theoretical, neuroscientific, and computational linguistics.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"314 ","pages":"Article 121253"},"PeriodicalIF":4.7,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942120","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":"Developmental patterns of white matter functional networks in neonates","authors":"Yuhan Wang ,&nbsp;Ningning Pan ,&nbsp;Zhuoshuo Li ,&nbsp;Yating Wang ,&nbsp;Ruoqing Chen ,&nbsp;Zhicong Fang ,&nbsp;Minmin Pan ,&nbsp;Hongzhuang Li ,&nbsp;Ke Fang ,&nbsp;Xiaorui Wu ,&nbsp;Mengting Liu ,&nbsp;Xinting Ge","doi":"10.1016/j.neuroimage.2025.121252","DOIUrl":"10.1016/j.neuroimage.2025.121252","url":null,"abstract":"<div><div>In recent years, the development of neonatal brain networks has become a research focus, with traditional studies primarily emphasizing gray matter (GM) functional networks. This study systematically explores the developmental characteristics of white matter (WM) functional networks in neonates. Utilizing data from the third release of the Developing Human Connectome Project (dHCP), we analyzed resting-state functional magnetic resonance imaging (rs-fMRI) data from 730 full-term and 157 preterm neonates. We successfully identified ten large-scale WM functional networks and validated their correspondence with established WM fiber tracts using diffusion tensor imaging (DTI). We examined WM functional networks from two dimensions: network functional connectivity and spontaneous activity, incorporating four factors: preterm birth status, age, sex, and hemispheric differences. The results indicate that WM network functional connectivity significantly increases with age, with preterm infants exhibiting lower connectivity than full-term infants, whereas no significant differences were observed between sexes or hemispheres. Regarding spontaneous activity, preterm infants showed lower amplitude in the low-frequency range, whereas in the high-frequency range, their amplitude distribution was more unstable and dispersed. Additionally, certain differences in spontaneous activity were observed between hemispheres and sexes. These findings provide novel insights into the early development of neonatal brain networks and hold significant implications for clinical interventions and treatment strategies for preterm infants.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"314 ","pages":"Article 121252"},"PeriodicalIF":4.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144043559","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}