NeuroImage最新文献

{"title":"White matter hyperintensity tissue property spatial variations as a function of cognitive status in Parkinson’s disease","authors":"Mariyemuguli Reheman ,&nbsp;Sagar Buch ,&nbsp;Naying He ,&nbsp;Pei Huang ,&nbsp;Qiurong Yu ,&nbsp;Xinhui Wang ,&nbsp;Yu Liu ,&nbsp;Youmin Zhang ,&nbsp;Zhijia Jin ,&nbsp;Yan Li ,&nbsp;Peng Liu ,&nbsp;Shengdi Chen ,&nbsp;E. Mark Haacke ,&nbsp;Fuhua Yan","doi":"10.1016/j.neuroimage.2025.121236","DOIUrl":"10.1016/j.neuroimage.2025.121236","url":null,"abstract":"<div><h3>Background and purpose</h3><div>The pathological relationship between white matter hyperintensities (WMH) and cognitive impairment in Parkinson's disease (PD) remains unclear due to their variable locations, heterogeneity, and limited assessment of underlying tissue properties. This study integrates T2-FLAIR and quantitative MRI (qMRI) to investigate burden, spatial distribution, and extent of tissue alterations in WMH, aiming to elucidate their role in cognitive decline among PD patients.</div></div><div><h3>Methods</h3><div>A total of 122 age- and sex-matched PD patients and 65 healthy controls (HC) were recruited, with PD patients grouped by Montreal Cognitive Assessment (MoCA) score including normal, mild cognitive impairment (MCI) or PD with dementia (PDD). WMH burden was compared across groups and cognitive status. Water content, T1, and T2* measures were derived from qMRI data and tissue property heatmaps and periventricular distance profiles were constructed for all groups to visualize location-dependent tissue alterations of WMH relative to the lateral ventricles. In addition, voxel-wise analysis was performed to examine the correlation between WMH lesion tissue properties and MoCA scores.</div></div><div><h3>Results</h3><div>WMH volume was significantly higher in PDD compared to other groups (<em>p</em> &lt; 0.05) and negatively correlated with MoCA scores (<em>r</em> = −0.352, <em>p</em> &lt; 0.001). WMH appeared predominantly around the lateral ventricles, with anterior horn involvement common to all groups and posterior horn involvement specific to PDD. qMRI measures were significantly elevated in WMH compared to normal appearing white matter (NAWM) (<em>p</em> &lt; 0.001), with heatmaps showing a negative gradient of tissue property changes from the lateral ventricles to the NAWM. Voxel-wise analysis revealed a significant negative correlation between the qMRI tissue properties of periventricular WMH and MoCA scores, with the strongest association observed in the periventricular WM situated just beyond the boundary of the lateral ventricles.</div></div><div><h3>Conclusion</h3><div>Over and above volume differences, the spatial distribution and tissue property variations of WMH were closely linked to cognitive impairment in PD patients, with distinct patterns across different cognitive stages.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121236"},"PeriodicalIF":4.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877286","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":"Characterizing the effects of age, puberty, and sex on variability in resting-state functional connectivity in late childhood and early adolescence","authors":"Kelly A. Duffy ,&nbsp;Andrea Wiglesworth ,&nbsp;Donovan J. Roediger ,&nbsp;Ellery Island ,&nbsp;Bryon A. Mueller ,&nbsp;Monica Luciana ,&nbsp;Bonnie Klimes-Dougan ,&nbsp;Kathryn R. Cullen ,&nbsp;Mark B. Fiecas","doi":"10.1016/j.neuroimage.2025.121238","DOIUrl":"10.1016/j.neuroimage.2025.121238","url":null,"abstract":"<div><div>Understanding the relative influences of age, pubertal development, and sex assigned at birth on brain development is a key priority of developmental neuroscience given the complex interplay of these factors in the onset of psychopathology. Previous research has investigated how these factors relate to static (time-averaged) functional connectivity (FC), but little is known about their relationship with dynamic (time-varying) FC. The present study aimed to investigate the unique and overlapping roles of these factors on dynamic FC in children aged approximately 9 to 14 in the ABCD Study using a sample of 5122 low-motion resting-state scans (from 4136 unique participants). Time-varying correlations in the frontolimbic, default mode, and dorsal and ventral corticostriatal networks, estimated using the Dynamic Conditional Correlations (DCC) method, were used to calculate variability of within- and between-network connectivity and of graph theoretical measures of segregation and integration. We found decreased variability in global efficiency across the age range, and increased variability within the frontolimbic network driven primarily by those assigned female at birth (AFAB). AFAB youth specifically also showed increased variability in several other networks. Controlling for age, both advanced pubertal development and being AFAB were associated with decreased variability in all within- and between-network correlations and increased variability in measures of network segregation. These results potentially suggest advanced brain maturation in AFAB youth, particularly in key networks related to psychopathology, and lay the foundation for future investigations of dynamic FC.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"313 ","pages":"Article 121238"},"PeriodicalIF":4.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891585","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":"A CVAE-based generative model for generalized B1 inhomogeneity corrected chemical exchange saturation transfer MRI at 5 T","authors":"Ruifen Zhang ,&nbsp;Qiyang Zhang ,&nbsp;Yin Wu","doi":"10.1016/j.neuroimage.2025.121202","DOIUrl":"10.1016/j.neuroimage.2025.121202","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) has emerged as a powerful tool to image endogenous or exogenous macromolecules. CEST contrast highly depends on radiofrequency irradiation &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; level. Spatial inhomogeneity of &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; field would bias CEST measurement. Conventional interpolation-based &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; correction method required CEST dataset acquisition under multiple &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; levels, substantially prolonging scan time. The recently proposed supervised deep learning approach reconstructed &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; inhomogeneity corrected CEST effect at the identical &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; as of the training data, hindering its generalization to other &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; levels. In this study, we proposed a Conditional Variational Autoencoder (CVAE)-based generative model to generate &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; inhomogeneity corrected Z spectra from single CEST acquisition. The model was trained from pixel-wise source–target paired Z spectra under multiple &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; with target &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; as a conditional variable. Numerical simulation and healthy human brain imaging at 5 T were respectively performed to evaluate the performance of proposed model in &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; inhomogeneity corrected CEST MRI. Results showed that the generated &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;-corrected Z spectra agreed well with the reference averaged from regions with subtle &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; inhomogeneity. Moreover, the performance of the proposed model in correcting &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; inhomogeneity in APT CEST effect, as measured by both &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;M&lt;/mi&gt;&lt;mi&gt;T&lt;/mi&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; and &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;M&lt;/mi&gt;&lt;mi&gt;T&lt;/mi&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; at 3.5 ppm, were superior over conventional Z/contrast-&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121202"},"PeriodicalIF":4.7,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863385","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":"The relationships of resting-state brain entropy (BEN), ovarian hormones and behavioral inhibition and activation systems (BIS/BAS)","authors":"Donghui Song ,&nbsp;Ze Wang","doi":"10.1016/j.neuroimage.2025.121226","DOIUrl":"10.1016/j.neuroimage.2025.121226","url":null,"abstract":"<div><div>Brain entropy (BEN) quantifies irregularity, disorder and uncertainty of brain activity. Recent studies have linked BEN, derived from resting-state functional magnetic resonance imaging (rs-fMRI), to cognition, task activation, neuromodulation, and pharmacological interventions. However, it remains unknown whether BEN can reflect the effects of hormonal fluctuations. Furthermore, ovarian hormones are known to modulate behavioral traits, such as inhibitory control and impulsivity, as measured by the Behavioral Inhibition and Activation Systems (BIS/BAS). In this study, we investigated how ovarian hormones influence BEN and BIS/BAS in young adult women.</div><div>The forty-four participants (mean age = 22.61 ± 2.14 years) were obtained from OpenNeuro in the study. Ovarian hormones including estradiol (E2), progesterone (PROG) and BIS/BAS were acquired before scanning. The voxel-wise BEN maps were calculated from the preprocessed rs-fMRI images. Pearson’s correlation and mediation analyses were used to assess the relationships between BEN and ovarian hormones as well as BIS/BAS.</div><div>Our results revealed a negative correlation between BEN and PROG in frontoparietal network (FPN), including the dorsolateral prefrontal cortex (DLPFC) and posterior parietal cortex (PPC), as well as in the limbic network, encompassing the amygdala, hippocampus, and parahippocampal cortex. In contrast, BEN showed a positive correlation with impulsivity traits measured by the BAS-drive subscale of BAS in the left DLPFC. Additionally, PROG was negatively correlated with impulsivity traits measured by BAS-drive. Results from mediation analysis demonstrated that PROG reduces impulsivity, as measured by BAS-drive, by decreasing BEN in the left DLPFC and subsequently increasing functional connectivity (FC) within this region.</div><div>These findings provide the first evidence that BEN reflects the influence of PROG on brain function and behavior. Furthermore, they elucidate the neural mechanisms through which PROG modulates impulsivity traits measured by BAS-drive: PROG enhances the temporal coherence (decreased entropy) of neural activity in the left DLPFC, which in turn increases temporal synchronization (increased FC) within this region during resting-state, and then enhances executive control functions, thereby negatively regulating impulsivity. These findings provide new insights into our understanding of the effects of ovarian hormones on the brain and behavior in women.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121226"},"PeriodicalIF":4.7,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855723","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":"A comparative study on the detection and localization of interictal epileptiform discharges in magnetoencephalography using optically pumped magnetometers versus superconducting quantum interference devices","authors":"Jiechuan Ren ,&nbsp;Ming Ding ,&nbsp;Yuming Peng ,&nbsp;Chang Sun ,&nbsp;Chunqing Yang ,&nbsp;Shuxian Zhou ,&nbsp;Jiayin Tian ,&nbsp;Qun Wang ,&nbsp;Zhimei Li","doi":"10.1016/j.neuroimage.2025.121232","DOIUrl":"10.1016/j.neuroimage.2025.121232","url":null,"abstract":"<div><h3>Background</h3><div>Superconducting quantum interference device (SQUID)-based magnetoencephalography (MEG) holds substantial clinical value in epilepsy examination but is limited by the high costs. The optically pumped magnetometer (OPM)-based MEG appears promising in overcoming these limitations. This study aims to explore the consistency of interictal epileptiform discharge (IED) detection and source localization between OPM-MEG and SQUID-MEG in a large cohort of patients with epilepsy.</div></div><div><h3>Methods</h3><div>Patients with epilepsy underwent SQUID-MEG and 128-channel whole-scalp OPM-MEG examinations. IED detection, amplitude, signal-to-noise ratio (SNR), sensor-scalp distance, and source localization results were compared between OPM-MEG and SQUID-MEG through statistical analysis.</div></div><div><h3>Results</h3><div>The cohort comprised 46 patients with epilepsy (mean age, 23.7 ± 8.7 [SD] years; 29 male). McNemar <em>χ</em>² test indicated no significant difference for IED detection between two systems. OPM-MEG achieved a detection accuracy of 91.3 % compared with SQUID-MEG; a Gwet's first-order agreement coefficient (AC₁) of 0.892 suggested good consistency. Among 39 patients with IEDs detected by both systems, OPM-MEG demonstrated closer sensor-scalp distance (<em>p</em> &lt; 0.001), higher IED amplitude (<em>p</em> &lt; 0.001) and SNR (<em>p</em> = 0.003) compared with SQUID-MEG. At the sublobar level, OPM-MEG and SQUID-MEG exhibited nearly consistent source localization results. Among 24 patients with single dipole clusters, the average centroid distance between dipole clusters of OPM-MEG and SQUID-MEG was 12.16 ± 5.90 mm.</div></div><div><h3>Conclusion</h3><div>This real-world study demonstrated that OPM-MEG had comparable applicability in IED detection and source localization, compared with SQUID-MEG. Additionally, OPM-MEG performed better in terms of IED amplitude and SNR. Lower costs and user-friendly features highlight the clinical potential of OPM-MEG in epilepsy assessments.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121232"},"PeriodicalIF":4.7,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859749","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":"Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach","authors":"Xiaoping Yi ,&nbsp;Mingzhao Ma ,&nbsp;Xueying Wang ,&nbsp;Jinfan Zhang ,&nbsp;Feifei Wu ,&nbsp;Haimiao Huang ,&nbsp;Qian Xiao ,&nbsp;An Xie ,&nbsp;Peng Liu ,&nbsp;Alessandro Grecucci","doi":"10.1016/j.neuroimage.2025.121225","DOIUrl":"10.1016/j.neuroimage.2025.121225","url":null,"abstract":"<div><div>Pediatric bipolar disorder (PBD) is a highly debilitating condition, characterized by alternating episodes of mania and depression, with intervening periods of remission. Limited information is available about the functional and structural abnormalities in PBD, particularly when comparing type I with type II subtypes. Resting-state brain activity and structural grey matter, assessed through MRI, may provide insight into the neurobiological biomarkers of this disorder. In this study, Resting state Regional Homogeneity (ReHo) and grey matter concentration (GMC) data of 58 PBD patients, and 21 healthy controls matched for age, gender, education and IQ, were analyzed in a data fusion unsupervised machine learning approach known as transposed Independent Vector Analysis. Two networks significantly differed between BPD and HC. The first network included fronto- medial regions, such as the medial and superior frontal gyrus, the cingulate, and displayed higher ReHo and GMC values in PBD compared to HC. The second network included temporo-posterior regions, as well as the insula, the caudate and the precuneus and displayed lower ReHo and GMC values in PBD compared to HC. Additionally, two networks differ between type-I vs type-II in PBD: an occipito-cerebellar network with increased ReHo and GMC in type-I compared to type-II, and a fronto-parietal network with decreased ReHo and GMC in type-I compared to type-II. Of note, the first network positively correlated with depression scores. These findings shed new light on the functional and structural abnormalities displayed by pediatric bipolar patients.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121225"},"PeriodicalIF":4.7,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855720","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":"Neural substrates of attack event prediction in video games: the role of ventral posterior cingulate cortex and theory of mind network","authors":"Zhiwei Ye ,&nbsp;Chenyu Lv ,&nbsp;Hui Zhou ,&nbsp;Yanmeng Bao ,&nbsp;Tiantian Hong ,&nbsp;Qinghua He ,&nbsp;Yuzheng Hu","doi":"10.1016/j.neuroimage.2025.121228","DOIUrl":"10.1016/j.neuroimage.2025.121228","url":null,"abstract":"<div><div>Action anticipation, the ability to observe actions and predict the intent of others, plays a crucial role in social interaction and fields such as electronic sports. However, the neural mechanisms underlying the inference of purpose from action observation remain unclear. In this study, we conducted an fMRI experiment using video game combat scenarios to investigate the neural correlates of action anticipation and its relationship with task performance. The results showed that the higher level of ability to infer the purpose from action observation during experiment associates with higher level of proficiency in real world electric gaming competition. The action anticipation task activates visual streams, fronto-parietal network, and the ventral posterior cingulate cortex (vPCC), a key hub in the theory of mind network. The strength of vPCC activation during action anticipation, but not movement direction judgment, was positively correlated with gaming proficiency. Finite impulse response analysis revealed distinct dynamic response profiles in the vPCC compared to other theory of mind regions. These findings suggest that theory of mind ability may be an important factor influencing individual competitive performance, with the vPCC serving as a core neural substrate for inferring purpose from action observation.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121228"},"PeriodicalIF":4.7,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868200","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":"Aging amplifies sex differences in low alpha and low beta EEG oscillations","authors":"Chuanliang Han ,&nbsp;Vincent C.K. Cheung ,&nbsp;Rosa H.M. Chan","doi":"10.1016/j.neuroimage.2025.121231","DOIUrl":"10.1016/j.neuroimage.2025.121231","url":null,"abstract":"<div><div>Biological sex profoundly shapes brain function, yet its precise influence on neural oscillations was poorly understood. Despite decades of research, studies investigating sex-based variations in electroencephalographic (EEG) signals have yielded inconsistent findings that obstructs what may be a potentially crucial source of inter-individual variability in brain function. To address this, we analyzed five publicly available resting-state datasets, comprising EEG data (<em>n</em> = 445) and iEEG data (<em>n</em> = 103). Three age ranges were defined, young adult (YA, 18–30 years), middle-aged adult (MA, 30–55 years) and older adult (OA, 55–80 years). Our results revealed striking age-dependent sex differences: OA group exhibited robust sex differences, with males showing heightened low alpha (8–9 Hz) activity in temporal regions and attenuated low beta (16–20 Hz) oscillations in parietal-occipital areas compared to females. Intriguingly, these sex-specific patterns were absent in YA group, suggesting a complex interplay between sex and aging in shaping brain dynamics. The MA groups fall in between YA and OA group. The increase of low beta band activity in older female adults is strongly associated with hip size and BMI. Furthermore, we identified consistent sex-related activity in the precentral gyrus with the results of scalp EEG, potentially driving the observed scalp EEG differences. This multi-level analysis allowed us to bridge the gap between cortical and scalp-level observations, providing a more comprehensive picture of sex-related neural dynamics. The distinct associations between sex-specific oscillatory patterns and several lifestyle factors demonstrates the complex interplay between sex, age, and neural oscillations, revealing the variability in brain dynamics. Our findings highlight the importance of careful demographic consideration in EEG research design to ensure fairness in capturing the full spectrum of neurophysiological diversity.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121231"},"PeriodicalIF":4.7,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868205","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":"Brain-hemispheric differences in the premotor area for motor planning: An approach based on corticomuscular connectivity during motor decision-making","authors":"Leonardo A. Cano ,&nbsp;Ana L. Albarracín ,&nbsp;Fernando D. Farfán ,&nbsp;Eduardo Fernández","doi":"10.1016/j.neuroimage.2025.121230","DOIUrl":"10.1016/j.neuroimage.2025.121230","url":null,"abstract":"<div><div>This study investigates the role of the premotor area (PMA) in motor planning during decision-making, focusing on differences between brain hemispheres. A cross-sectional assessment was conducted involving seventeen right-handed participants who performed tasks requiring responses with either hand to visual stimuli. Motion capture, EEG and EMG signals were collected to analyze corticomuscular coherence (CMC) in the beta and gamma bands across four motor-related cortical areas. Findings revealed significant beta-band CMC between anterior deltoids and contralateral PMA before stimulus onset in simple reaction tasks. Moreover, significant beta-band CMC was observed between the left anterior deltoid and the right PMA during the motor planning phase, prior to the onset of muscle contraction, corresponding with shorter planning times. This connectivity pattern was consistent across both simple and complex reaction tasks, indicating that the PMA plays a crucial role during decision-making. Notably, motor planning for the right hand did not exhibit the same connectivity pattern, suggesting more complex cognitive processes. These results emphasize the distinct functional roles of the left and right hemispheres in motor planning and underscore the importance of CMC in understanding the neural mechanisms underlying motor control. This study contributes to the theoretical framework of motor decision-making and offers insights for future research on motor planning and rehabilitation strategies.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121230"},"PeriodicalIF":4.7,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855719","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":"Spatiotemporal processing of real faces is modified by visual sensing","authors":"Megan Kelley ,&nbsp;Mark Tiede ,&nbsp;Xian Zhang ,&nbsp;J․Adam Noah ,&nbsp;Joy Hirsch","doi":"10.1016/j.neuroimage.2025.121219","DOIUrl":"10.1016/j.neuroimage.2025.121219","url":null,"abstract":"<div><div>Live human faces, when engaged as visual stimuli, recruit unique and extensive patterns of neural activity. However, the underlying neural mechanisms that underly these live face-to-face processes are not known. We hypothesized that the neural correlates for live face processes are modulated by both spatial and temporal features of the live faces as well as visual sensing parameters. Hemodynamic signals detected by functional near infrared spectroscopy (fNIRS) were acquired concurrently with co-activated electroencephalographic (EEG) and eye-tracking signals during interactive gaze at a live human face or gaze at a human-like robot face. Regression of the fNIRS signals with two eye-gaze variables, fixation duration and dwell time, revealed separate regions of neural correlates, right supramarginal gyrus (lateral visual stream) and right inferior parietal sulcus (dorsal visual stream), respectively. These two areas served as the regions of interest for the EEG analysis. Standardized low-resolution brain electromagnetic tomography (sLORETA) was applied to determine theta (4 – 7 Hz) and alpha (8–13 Hz) oscillatory activity in these regions. Variations in oscillatory patterns corresponding to the neural correlates of the visual sensing parameters suggest an increase in spatial binding for the dorsal relative to the lateral regions of interest during live face-to-face visual stimulation.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121219"},"PeriodicalIF":4.7,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863384","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}