NeuroImage最新文献

{"title":"ERP markers of basic and higher order cognitive and affective Theory of Mind processing in young adulthood","authors":"Benjamin Tesar-Boehm ,&nbsp;Matthias Deckert ,&nbsp;Michaela Ludwig ,&nbsp;Ulrike Willinger","doi":"10.1016/j.neuroimage.2025.121487","DOIUrl":"10.1016/j.neuroimage.2025.121487","url":null,"abstract":"<div><div>Basic and higher order attribution of mental states to others (ToM) based on visual social cues was recently associated with different early and late occurring event-related potential (ERP) components. As cognitive and affective ToM in everyday life occur in unspecific order, this study included three experiments in which they were presented in different sequences to investigate possible mutual influences of these types. ERPs of first, second, and third order cognitive and affective ToM processing based on eye gaze and mimic were investigated with the Brainy-ERP task. Accuracy, response times and ERP components <em>anterior P2</em> (<em>aP2</em>) and <em>posterior P2</em> (both 210–400 ms post-stimulus [p.s.]) as well as <em>anterior late negative slow wave</em> (LNSW) and <em>posterior LNSW</em> (both 280–1000 ms p.s.) together indicate in three experiments that affective ToM processing requires more effort. However, starting with solely Cognitive ToM negates the superiority in performance of Cognitive ToM compared to Affective ToM. Affective ToM processing shows an early step in complexity between first and second order whereas a comparable step regarding cognitive ToM occurred between second and third order. While early ERPs showed higher amplitudes on the right hemisphere, late components where more pronounced on the left. Taken mutually influencing effects into account, this study offers new insights into visual-based cognitive and affective ToM including confirmation of <em>P2</em> and <em>late negative slow wave</em> components during processing, and allowing for a more thorough interpretation of the electrophysiological activity associated with ToM processing and a solid foundation for the planning of future experimental designs.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121487"},"PeriodicalIF":4.5,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228349","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":"Identifying anatomic brain structures using ultra-low field MRI in newborns","authors":"Anne Groteklaes,&nbsp;Efe Nacarkucuk,&nbsp;Till Dresbach,&nbsp;Andreas Mueller,&nbsp;Hemmen Sabir","doi":"10.1016/j.neuroimage.2025.121497","DOIUrl":"10.1016/j.neuroimage.2025.121497","url":null,"abstract":"<div><h3>Background</h3><div>Besides its limitations, cranial ultrasound is the standard imaging method in neonates. Early postnatal magnetic resonance imaging (MRI) offers more objective measurements, but access to MRI is often limited. Portable ultralow-field (ULF) MRI could expand MRI access. To date, no comparison is available between cranial ultrasound and ULF MRI measuring neonatal brain metrics.</div></div><div><h3>Methods</h3><div>We performed paired ULF MRI and cranial ultrasound in 28 term newborns. Dimensions of ten routinely measured anatomic structures were measured and compared between the modalities.</div></div><div><h3>Findings</h3><div>Correlations between ULF MRI and ultrasound biometrics was significant for most anatomic brain structures (median correlation coefficient 0,73).</div></div><div><h3>Interpretation</h3><div>ULF MRI reliably displays ultrasound biometry of the neonatal brain. We found that ULF imaging can be performed as point-of-care MRI at the neonatal bedside during natural sleep, which may widen the access to MRI.</div></div><div><h3>Funding</h3><div>This work is supported by the Bill and Melinda Gates Foundation (Ultralow field Neuroimaging in The Young: INV-005798).</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121497"},"PeriodicalIF":4.5,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228345","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 effective neural connections in food inhibitory control and their relationship with daily eating behavior in individuals with overweight/obesity or normal-weight","authors":"Yong Liu ,&nbsp;Mingyue Xiao ,&nbsp;Yatong Guo ,&nbsp;Pan Shi ,&nbsp;Yazhi Pang ,&nbsp;Wei Li ,&nbsp;Ximei Chen ,&nbsp;Jia Zhao ,&nbsp;Hong Chen","doi":"10.1016/j.neuroimage.2025.121498","DOIUrl":"10.1016/j.neuroimage.2025.121498","url":null,"abstract":"<div><div>This study investigates the differences in effective neural connections during food inhibitory control between individuals with overweight/obesity (OW/OB) and those with normal weight (NW), and examines how these neural differences relate to daily eating behaviors. Fifty-one female participants were classified into OW/OB (BMI ≥ 25 kg/m²) or NW (BMI 18–22 kg/m²) groups. Participants completed a modified food-specific go/no-go task with working memory load during fMRI scanning. Neural connectivity was analyzed using dynamic causal modelling (DCM). Ecological momentary assessment (EMA) was used to collect real-time data on eating behaviors over one week. The OW/OB group showed lower accuracy in responding to low-calorie food cues and greater activation in the left hippocampus during no-go trials with high-calorie foods. DCM revealed stronger excitatory connectivity from the right inferior frontal gyrus (IFG) to the medial prefrontal cortex (mPFC), and stronger inhibitory connectivity from the mPFC to the dorsal caudate, as well as from the dorsal caudate to the left hippocampus in the OW/OB group. EMA results indicated that the OW/OB group was more likely to succumb to food desires between 13:00 and 17:00. Mediation analysis confirmed that effective connectivity mediated the relationship between task performance and daily eating behaviors. These findings elucidate the neural mechanisms underlying food inhibitory control in OW/OB individuals, highlighting the role of the hippocampus and the IFG–mPFC circuit. The study provides theoretical advances within the dual-system framework and suggests that targeting these neural pathways may improve dietary control in obesity.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121498"},"PeriodicalIF":4.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223274","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":"HyPER: Region-specific hypersampling of fMRI to resolve low-frequency, respiratory, and cardiac pulsations, revealing age-related differences","authors":"Adam M. Wright ,&nbsp;Tianyin Xu ,&nbsp;Yunjie Tong ,&nbsp;Qiuting Wen","doi":"10.1016/j.neuroimage.2025.121502","DOIUrl":"10.1016/j.neuroimage.2025.121502","url":null,"abstract":"<div><div>Resting-state functional MRI (fMRI) signals capture physiological processes, including systemic low-frequency oscillations (LFOs), respiration, and cardiac pulsations. These physiological oscillations—often treated as noise in functional connectivity analysis—reflect fundamental aspects of brain physiology and have recently been recognized as key drivers of brain waste clearance. However, these critical physiological signals are obscured in fMRI data due to slow sampling rates (typical repetition time (TR) &gt; 0.8 s), which cause cardiac signal to alias into lower frequencies. To resolve physiological signals in fMRI datasets, we leveraged fast cross-slice sampling within each TR to hypersample the fMRI signal. A key novelty of this study is the development of a region-specific hypersampling approach, called HyPER (Hypersampling for Physiological signal Extraction in a Region-specific manner). HyPER enhances temporal resolution within coherently pulsating vascular and tissue compartments, including the major cerebral arteries, the superior sagittal sinus (SSS), gray matter (GM), and white matter (WM). This study is structured in three parts: (1) We developed and validated the HyPER approach using fast fMRI from a local dataset in four regions of interest: the major cerebral arteries, SSS, GM, and WM. (2) We applied this approach to the publicly available Human Connectome Project-Aging (HCP-A) dataset (ages 36–90 years), increasing the resolvable frequency by ninefold—from 0.625 Hz to 5.625 Hz—enabling clear separation of cardiac, respiration, and LFO oscillations. (3) We investigated how brain physiological pulsations change with age. Our findings revealed an age-related increase in cardiac and respiratory pulsations across all brain regions, likely reflecting an increased vessel stiffness and reduced dampening of high-frequency pulsations along the vascular network. In contrast, LFO pulsations generally declined with age, suggesting reduced vasomotion in the older brain. In summary, we demonstrated the feasibility and reliability of a region-specific hypersampling technique to resolve physiological pulsations in fMRI. This method can be broadly applied to existing fMRI datasets to uncover hidden physiological pulsations and advance our understanding of brain physiology and disease-related alterations.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121502"},"PeriodicalIF":4.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225798","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":"Investigating the effect of masking and background field removal algorithms on the quality of QSM reconstructions using a realistic numerical head phantom.","authors":"Carlos Milovic, Patrick S Fuchs, Mathias Lambert, Oriana Arsenov, Oliver C Kiersnowski, Laxmi Muralidharan, Russell Murdoch, Jannette Nassar, Karin Shmueli","doi":"10.1016/j.neuroimage.2025.121499","DOIUrl":"https://doi.org/10.1016/j.neuroimage.2025.121499","url":null,"abstract":"<p><p>Background field removal (BFR) is an important step in the QSM pipeline, enabling the reconstruction of local susceptibility distributions by removing contributions from sources outside the region of interest (ROI). BFR requires calculation of a binary ROI mask, to which most BFR methods are sensitive. We investigated how masking, and errors in local field map estimation, impact the quality of QSM reconstructions. We used the 2019 QSM Reconstruction Challenge brain phantom to simulate multi-echo gradient echo acquisitions. Echoes were combined using complex fitting followed by unwrapping with SEGUE. Fifteen background field removal methods were applied using 4 local field masks. Local fields were compared with RMSE. Seven different QSM reconstruction algorithms were applied to the local fields and evaluated using the 2019 QSM Challenge metrics. For local field map estimation, PDF and MSMV performed best overall, although their performance was sensitive to the mask. V-SHARP and RESHARP were more robust to masking and showed good performance. LBV had low accuracy, which was improved by removing a polynomial fit. Surprisingly, this did not propagate to susceptibility, where LBV without polynomial fitting performed better. When paired with the Weak Harmonic QSM algorithm, LBV showed the best overall performance with low sensitivity to the mask; PDF and MSMV were next best. PDF and MSMV are robust choices for estimating local field maps and provide accurate QSM but can lead to susceptibility underestimation near brain boundaries. LBV is less reliable for local field map estimation but gives accurate results when used with weak harmonic QSM.</p>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":" ","pages":"121499"},"PeriodicalIF":4.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225558","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":"Reduced harmonic complexity of brain parenchymal cardiovascular pulse waveforms in Alzheimer’s disease","authors":"Anssi Koivula ,&nbsp;Vilma Perkiömäki ,&nbsp;Mika Aho ,&nbsp;Aleksi Rasila ,&nbsp;Valter Poltojainen ,&nbsp;Vesa Korhonen ,&nbsp;Matti Järvelä ,&nbsp;Niko Huotari ,&nbsp;Heta Helakari ,&nbsp;Johanna Tuunanen ,&nbsp;Lauri Raitamaa ,&nbsp;Tommi Väyrynen ,&nbsp;Johanna Kruger ,&nbsp;Vesa Kiviniemi ,&nbsp;Janne Kananen","doi":"10.1016/j.neuroimage.2025.121503","DOIUrl":"10.1016/j.neuroimage.2025.121503","url":null,"abstract":"<div><div>Alzheimer’s disease (AD) is characterized by specific neuropathologies, and is associated with arterial wall β-amyloid accumulations, which lead to radiologically detectable amplitude increases and variable propagation speed of cardiovascular impulses in brain. In this study, we developed a fast frequency domain imaging method know as relative harmonic power of magnetic resonance encephalography (MREG_RHP), aiming to investigate the configuration of the cardiovascular impulses independently of the mean magnetic resonance signal intensity and physiological impulse amplitude. In the initial analyses in healthy controls, we found that a wide 0.8 - 5 Hz bandpass produced the most physiologically realistic cardiovascular waveforms. Whereas the data recorded in cerebrospinal fluid (CSF) with flip angle (FA) of 25° yielded up to 7-fold higher cardiac signal intensity as compared to FA of 5°, within the brain tissue recordings with FA of 5° were markedly more sensitive to cardiac waveform. We detected arterial impulses originating from major arteries and extending into the surrounding brain parenchyma, with simultaneous dampening of amplitude as a function of distance from source. Finally, we compared MREG_RHP results in 34 CE patients (mean age: 60.7 ± 4.7 years; 53 % female) against 29 controls (mean age: 56.9 ± 7.9 years; 66 % female). We show that the harmonic power of cardiovascular brain pulses is significantly reduced in cortical frontoparietal areas of AD patients, indicating monotonous impulse patterns colocalizing with the previously reported areas of increased impulse propagation speed. In conclusion, the MREG_RHP offers a fast Fourier transform (FFT)-based method to non-invasively quantify and locate human arterial blood vessel wall pathology.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121503"},"PeriodicalIF":4.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223277","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":"Neuroplastic differentiation in motor cortex subregions induced by basketball training: A multimodal diffusion MRI investigation","authors":"Wenshuang Tang ,&nbsp;Yihan Wang ,&nbsp;Yapeng Qi ,&nbsp;Wenxuan Fang ,&nbsp;Xinwei Li ,&nbsp;Bowen Liu ,&nbsp;Jilan Ning ,&nbsp;Jiaxin Du ,&nbsp;Xiaoxia Du","doi":"10.1016/j.neuroimage.2025.121493","DOIUrl":"10.1016/j.neuroimage.2025.121493","url":null,"abstract":"<div><div>The primary motor cortex (M1) contains two functionally distinct subregions: effector subregions, responsible for fine motor control, and inter-effector subregions, involved in mind-body coordination and movement planning. However, the impact of long-term exercise training on subregion-specific microstructural plasticity in M1 remains unclear. In this study, thirty-four elite basketball athletes and thirty-five age- and gender-matched non-athletes were included in the analysis. All participants underwent T1-weighted imaging and diffusion MRI scanning. Probabilistic fiber tracking was employed to delineate distinct subregions within the M1. Diffusion MRI techniques, including diffusion tensor imaging, diffusion kurtosis imaging, and neurite orientation dispersion and density imaging, were employed to assess microstructural differences. The athletes' cognitive-motor integration performance was assessed by the swimmy paradigm. Compared to non-athletes, our results indicate that basketball athletes exhibited significantly decreased mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), orientation dispersion index (ODI), and free water fraction (FWF), and significantly increased axial kurtosis (AK) and neurite density index (NDI) in the inter-effector subregions of M1. No significant differences were observed in the effector-specific subregions. Correlation analyses revealed that the difference of reaction times was negatively correlated with MDADRD and FWF, and positively correlated with NDI in the inter-effector subregions. These findings suggest that basketball training induces region-specific microstructural changes in M1, primarily in the inter-effector subregions, which are closely linked to cognitive-motor integration performance. The neuroplastic mechanisms induced by basketball training, as revealed in elite athletes, provide a rationale for exploring sport-based neuromodulatory interventions to optimize cognitive-motor rehabilitation.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121493"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145207071","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":"Temporal dynamics of perceptual integrity and semantic congruency during color-word processing: An ERP and decoding study","authors":"Guanghui Zhang ,&nbsp;Ying Xin ,&nbsp;Liting Song ,&nbsp;Xinran Wang ,&nbsp;Lihong Chen ,&nbsp;Weiqi He ,&nbsp;Wenbo Luo","doi":"10.1016/j.neuroimage.2025.121486","DOIUrl":"10.1016/j.neuroimage.2025.121486","url":null,"abstract":"<div><div>Visual word recognition involves both perceptual and semantic processes, yet how both factors interact during early and late stages of neural processing remains unclear. In this study, we employed event-related potentials (ERPs) and multivariate pattern analysis (MVPA; decoding) to investigate the temporal dynamics of color-word congruency (congruent vs. incongruent) and font completeness (complete vs. incomplete) in a modified Stroop experiment. 26 participants (13 males; aged 19–28 years old; <em>M</em> = 21.8, SD = 2.5) viewed Chinese color words presented in either matching or mismatching font color, with font forms being either intact or degraded. The ERP results revealed that N170 amplitudes were significantly influenced by font integrity and marginally by color congruency, with a notable interaction between the two factors. Additionally, N2 amplitudes showed a significant main effect of font integrity only. P3 amplitudes were modulated by both factors independently, without interaction, while LPP responses were significantly affected only by color congruency. MVPA results further demonstrated that font integrity could be decoded from around 150 to 600 ms, while color congruency could be decoded reliably from approximately 360 to 800 ms. Moreover, the decoding analysis did not reveal an interaction similar to that observed in the ERP results between congruent and incongruent conditions across different perceptual contexts. These findings support a two-stage processing model, in which early perceptual features are processed prior to semantic congruency integration. The combination of ERP and MVPA highlights the distinct temporal profiles underlying perceptual and semantic processing in visual word recognition.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121486"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213240","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":"Early White Matter Microstructure Alterations in Infants with Down Syndrome","authors":"Omar Azrak ,&nbsp;Dea Garic ,&nbsp;Aleeshah Nasir ,&nbsp;Meghan R. Swanson ,&nbsp;Rebecca L. Grzadzinski ,&nbsp;Khalid Al-Ali ,&nbsp;Mark D. Shen ,&nbsp;Jessica B. Girault ,&nbsp;Tanya St. John ,&nbsp;Juhi Pandey ,&nbsp;Lonnie Zwaigenbaum ,&nbsp;Annette M. Estes ,&nbsp;Jason J. Wolff ,&nbsp;Stephen R. Dager ,&nbsp;Robert T. Schultz ,&nbsp;Alan C. Evans ,&nbsp;Jed T. Elison ,&nbsp;Essa Yacoub ,&nbsp;Sun Hyung Kim ,&nbsp;Robert C. McKinstry ,&nbsp;Martin A. Styner","doi":"10.1016/j.neuroimage.2025.121489","DOIUrl":"10.1016/j.neuroimage.2025.121489","url":null,"abstract":"<div><div>Down syndrome (DS), resulting from Trisomy 21, is the most prevalent chromosomal disorder and a leading cause of intellectual disability. Despite the significant impact of Trisomy 21 on brain development, research on white matter (WM) microstructure in infants with DS remains limited. While widespread reductions in WM integrity have been identified in children and young adults with DS, no study has examined WM microstructure in infancy. This study investigates early WM microstructure in infants with DS using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Forty-nine infants with DS (28 [57.14%] female) and 36 control (18 [48.65%] female) infants were scanned at 6 months of age. Infants with DS showed significant reductions in fractional anisotropy and neurite density index across multiple association tracts, particularly in the inferior fronto-occipital fasciculus and superior longitudinal fasciculus II, consistent with reduced structural integrity and neurite density. Increased radial diffusivity was observed in these tracts, a feature associated with disrupted myelination. In the inferior fronto-occipital fasciculus, superior longitudinal fasciculus II, and uncinate fasciculus, an elevated orientation dispersion index suggested increased neurite dispersion and fanning in infants with DS. These findings reveal widespread WM developmental alterations in DS, providing new insights into the early neurodevelopment of DS, which may inform timing of early therapeutic interventions.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121489"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213257","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":"How the brain adapts to nature's rhythms: a year of neuroimaging in a seasonal mammal","authors":"Arsène Ella ,&nbsp;Didier Chesneau ,&nbsp;Chantal Porte ,&nbsp;Didier Lomet ,&nbsp;Hans Adriaensen ,&nbsp;Benoit Piégu ,&nbsp;Ivy Uszynski ,&nbsp;Cyril Poupon ,&nbsp;Martine Migaud ,&nbsp;José Delgadillo ,&nbsp;Tiphaine Aguirre-Lavin ,&nbsp;Olivier Lasserre ,&nbsp;Philippe Chemineau ,&nbsp;Hugues Dardente ,&nbsp;Matthieu Keller ,&nbsp;David André Barrière","doi":"10.1016/j.neuroimage.2025.121494","DOIUrl":"10.1016/j.neuroimage.2025.121494","url":null,"abstract":"<div><div>At temperate and polar latitudes, animals and humans experience seasonal changes that impact physiology and behavior. In these habitats, the prevalence and severity of certain psychiatric disorders fluctuate seasonally. Such patterns imply that an adaptive system fine-tunes brain physiology in response to annual environmental changes, and alterations to this system may adversely affect mental health. To date, the core neuronal circuitry of the seasonal control of brain functioning is still largely unknown. To address this question, we identified brain regions sensitive to seasonal changes, using neuroimaging in the domestic sheep (<em>Ovis aries</em>), an animal model commonly used to study seasonality. Here, we developed MRI neuroinformatics resources (templates and atlas) dedicated to the analysis of the sheep brain and revealed that seasons broadly modify grey matter organization and volume of both cortical and subcortical regions involved in the control of homeostasis, sensory processing, learning, memory, behavior control, and social cognition. Many of these regions were not previously known to be affected by seasonal variations, highlighting that the seasonal control of brain function involves plasticity mechanisms across multiple brain sites.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121494"},"PeriodicalIF":4.5,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213213","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}