Human Brain Mapping最新文献

{"title":"Review of Dynamic Resting-State Methods in Neuroimaging: Applications to Depression and Rumination","authors":"Elena C. Peterson,&nbsp;Harry R. Smolker,&nbsp;Amelia D. Moser,&nbsp;Roselinde H. Kaiser","doi":"10.1002/hbm.70377","DOIUrl":"10.1002/hbm.70377","url":null,"abstract":"<p>Large-scale functional brain networks have most commonly been evaluated using static methods that assess patterns of activation or functional connectivity over an extended period. However, this approach does not capture time-varying features of functional networks, such as variability in functional connectivity or transient network states that form and dissolve over time. Addressing this gap, dynamic methods for analyzing functional magnetic resonance imaging (fMRI) data estimate time-varying properties of brain functioning. In the context of resting-state neuroimaging, dynamic methods can reveal spontaneously occurring network configurations and temporal properties of such networks. Patterns of network functioning over time during the resting state may be indicative of individual differences in cognitive-affective processes such as rumination, or the tendency to engage in a pattern of repetitive negative thinking. We first introduce the current landscape of dynamic methods and then review an emerging body of literature applying these methods to the study of rumination and depression to illustrate how dynamic methods may be used to study clinical and cognitive phenomena. An emerging body of research suggests that rumination is related to altered functional flexibility of brain networks that overlap with the canonical default mode network. An important future direction for dynamic fMRI analyses is to explore associations with more specific features of cognition.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70377","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145307890","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":"Preoperative Brain Mapping Predicts Language Outcomes After Eloquent Tumor Resection","authors":"Matthew T. Muir,&nbsp;Kyle Noll,&nbsp;Sarah Prinsloo,&nbsp;Hayley Michener,&nbsp;Jeffrey I. Traylor,&nbsp;Vinodh A. Kumar,&nbsp;Chibawanye I. Ene,&nbsp;Sherise Ferguson,&nbsp;Ho-Ling Liu,&nbsp;Jeffrey S. Weinberg,&nbsp;Frederick Lang,&nbsp;Brian A. Taylor,&nbsp;Stephanie J. Forkel,&nbsp;Sujit S. Prabhu","doi":"10.1002/hbm.70340","DOIUrl":"10.1002/hbm.70340","url":null,"abstract":"<p>When operating on gliomas near critical language regions, surgeons risk either leaving residual tumor or inducing permanent postoperative language deficits (PLDs). Despite the advent of intraoperative mapping techniques, subjective judgments frequently determine important surgical decisions. We aim to inform data-driven surgery by constructing a non-invasive mapping approach that quantitatively predicts the impact of individual surgical decisions on long-term language function. This study included 79 consecutive patients undergoing resection of language-eloquent gliomas. Patients underwent preoperative navigated transcranial magnetic stimulation (TMS) language mapping to identify language-positive sites (“TMS points”) and their associated white matter tracts (“TMS tracts”) as well as formal language evaluations pre-and postoperatively. The resection of regions identified by preoperative mapping was correlated with permanent postoperative language deficits (PLDs). Resected tract segments (RTS) were normalized to MNI space for comparison with normative data. The resection of TMS points did not predict PLDs. However, a TMS point subgroup defined by white matter connectivity significantly predicted PLDs (OR = 8.74, <i>p</i> &lt; 0.01) and demonstrated a canonical distribution of cortical language sites at a group level. TMS tracts recapitulated normative patterns of white matter connectivity defined by the Human Connectome Project. Subcortical resection of TMS tracts predicted PLDs independently of cortical resection (OR = 60, <i>p</i> &lt; 0.001). In patients with PLDs, RTS showed significantly stronger co-localization with normative language-associated tracts compared to RTS in patients without PLDs (<i>p</i> &lt; 0.05). Resecting patient-specific co-localizations between TMS tracts and normative tracts in native space predicted PLDs with an accuracy of 94% (OR = 134, <i>p</i> &lt; 0.001). Prospective application of this data in a patient with glioblastoma precisely predicted the results of intraoperative language mapping with direct subcortical stimulation. Long-term postoperative language deficits result from resecting patient-specific white matter segments. We integrate these findings into a personalized tool that uses TMS language mappings, diffusion tractography, and population-level connectivity to preoperatively predict the long-term linguistic impact of individual surgical decisions.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12529647/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145299863","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":"Disrupted Coupling Between Cerebral Glucose Metabolism and Intrinsic Functional Connectivity: A Hybrid PET/fMRI Study on Frontotemporal Dementia.","authors":"Mathew Joshy, Linshan Liu, Praveen Dassanayake, Marco Aiello, Angelica Di Cecca, Carlo Cavaliere, Udunna Anazodo, Elizabeth Finger, Keith St Lawrence","doi":"10.1002/hbm.70388","DOIUrl":"https://doi.org/10.1002/hbm.70388","url":null,"abstract":"<p><p>It is increasingly established that the organization of the brain into functional resting-state networks allows efficient integration and processing of information. Functional hubs anchoring such networks are characterized by a high degree of communication, which relies on efficient utilization of glucose. Alzheimer's disease (AD) disrupts the balance between glucose metabolism and intrinsic functional connectivity (FC). We hypothesized that this critical coupling would also be weakened in frontotemporal dementia (FTD), particularly within the salience network, given its association with the disease. Towards this goal, behavioral variant FTD (bvFTD) patients (n = 21) and healthy participants (n = 18) underwent simultaneous FDG-PET and functional MRI imaging in a hybrid PET/MR system, with an additional cohort completing the MRI component only. PET images were converted into standardized uptake value ratios (SUVr), and local FC was quantified using regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF), two metrics that have been demonstrated to be related to FDG-PET uptake. The interplay between FC and glucose metabolism was investigated within the salience and default mode networks. The bvFTD group showed network-level functional breakdown and significantly weakened metabolism/FC coupling, especially in the dorsal anterior insula and posterior cingulate cortex. Importantly, reduced coupling in the posterior cingulate cortex was associated with cognitive and behavioral symptoms in patients. Though significant, the reduction in whole-brain metabolic/FC coupling in bvFTD was not as strong as reported previously for AD. These results highlight the vulnerability of functional hubs to neurodegenerative disease. Aberrant regional disruptions in the coupling between metabolism and neuronal activity may drive network-level dysfunction and contribute to functional impairments characteristic of the disease.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":"e70388"},"PeriodicalIF":3.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344860","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 New Interacts With the Old? Hippocampal Processing During Memory Encoding of Creative Associations With Remote or Close Inherent Semantic Relatedness.","authors":"Jingjing Yang, Zhi Zhang, Ziyi Li, Ze Zhang, Jing Luo","doi":"10.1002/hbm.70381","DOIUrl":"https://doi.org/10.1002/hbm.70381","url":null,"abstract":"<p><p>Creativity means the formation of novel and useful associations. Meanwhile, the role of the hippocampus in episodic memory and some forms of creative thinking has been identified, but it remains unclear how the hippocampus participates in the formation of memory for creative associations. In particular, considering creative associations are often formed on the basis of old ones, it is important to identify how the hippocampus and its associated neural network represent the interactions between the new and old associations during the encoding of creative associations. Thus, using the subsequent memory effect (SME) paradigm, the present study asked participants to learn a set of creative combinations (a common object paired with a creative alternate use, for example, basketball-buoy, which means a basketball is used as a buoy) during fMRI scanning. Moreover, we also quantified the degree of pre-existing semantic connections individually according to subjective ratings of inherent semantic relatedness between the objects and their alternate uses in the relatedness judgment task, resulting in a 2 (memory: remembered vs. forgotten) by 2 (semantic relatedness: remote vs. close) factorial design. Multivariate analysis revealed higher inter-item hippocampal pattern similarity for remembered relative to forgotten trials in both close relatedness and remote relatedness conditions, indicating that hippocampal representations become less separable supporting successful memory for creative associations. However, univariate analyses of the hippocampus and its neural network showed that enhanced hippocampal activation was associated with successful encoding in the remote relatedness but not close relatedness condition, whereas increased hippocampal functional connectivity with prefrontal and parietal cortices contributed to successful memory in the close relatedness but not remote relatedness condition. These observations suggest that hippocampal-dependent processes and distributed hippocampal network patterns selectively support successful memory for creative associations with either remote or close inherent semantic relatedness, which implies the interactions between pre-existing semantic connections and newly formed creative associations.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":"e70381"},"PeriodicalIF":3.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344870","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":"Progressive Changes Between Thalamic Nuclei and Cortical Networks Across Stimulus-Response Learning.","authors":"Chelsea Jarrett, Katharina Zwosta, Xiaoyu Wang, Uta Wolfensteller, Juan Eugenio Iglesias, Katharina von Kriegstein, Hannes Ruge","doi":"10.1002/hbm.70382","DOIUrl":"https://doi.org/10.1002/hbm.70382","url":null,"abstract":"<p><p>The thalamus is connected to the cerebral cortex and subcortical regions, serving as a node within cognitive networks. It is a heterogeneous structure formed of functionally distinct nuclei with unique connectivity patterns. However, their contributions to cognitive functioning within networks is poorly understood. Recent animal research suggests that thalamic nuclei such as the mediodorsal nucleus play critical roles in goal-directed behaviour. Our aim was to investigate how functional integration of thalamic nuclei within cortical and subcortical networks changes whilst transitioning from more controlled goal-directed behaviour towards more automatic or habitual behaviour in humans. We analysed functional magnetic resonance imaging (fMRI) data from a stimulus-response learning study to investigate functional connectivity (FC) changes across learning between thalamic nuclei with cortical networks and subcortical structures in 52 healthy subjects. We also defined additional regions-of-interest (ROIs) individually in native space, segmenting the thalamus into 47 nuclei and segmenting 38 subregions within the basal ganglia and hippocampus. Additionally, we defined 12 cerebral cortex ROIs via maximum-probability network templates. Associative S-R learning-related connectivity changes were examined via ROI-to-ROI functional network analysis. Our results showed that learning was associated with: (1) decreasing FC between the frontoparietal network and higher order thalamic nuclei; (2) increasing FC between the cingulo-opercular network and pulvinar nuclei; (3) decreasing FC between the default mode network (DMN) and right mediodorsal nuclei; (4) increasing FC between the DMN and left mediodorsal nuclei; (5) changes in functional connectivity between thalamic nuclei and putamen subregions, and (6) increasing intrathalamic FC. Together, this suggests that several thalamic nuclei are involved in the learning-related transition from controlled to more automatic behaviour.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":"e70382"},"PeriodicalIF":3.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344876","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":"Dose-Dependent Effects of Catecholaminergic Modulation on Interference Control: Role of Baseline GABA and Glx in Cortico-Subcortical Networks.","authors":"Anna Helin Koyun, Annett Werner, Paul Kuntke, Veit Roessner, Christian Beste, Ann-Kathrin Stock","doi":"10.1002/hbm.70385","DOIUrl":"https://doi.org/10.1002/hbm.70385","url":null,"abstract":"<p><p>Cognitive control, which is critical for goal-directed behavior, involves resolving conflicts between competing stimuli and is influenced by neurotransmitter interactions within cortico-subcortical areas. This study investigated the relationship between baseline amino acid transmitter levels and interference control, focusing on the effects of experimentally enhancing catecholaminergic signaling. Using a double-blind, placebo-controlled crossover design with two dosage groups, n = 71 healthy human adults underwent proton magnetic resonance spectroscopy once to assess baseline GABA+ and Glx levels in the anterior cingulate cortex (ACC), striatum, and supplementary motor area (SMA). Participants then performed a subliminally primed flanker task inducing different scales of conflict twice while EEG was recorded: once after receiving a placebo (lactase) and once more under either low (0.25 mg/kg) or medium (0.50 mg/kg) doses of methylphenidate (MPH), which modulates the catecholaminergic and amino acid transmitter systems driving cognitive and interference control. Medium MPH doses were more effective than low doses at reducing subliminal interference effects, highlighting dose-specific behavioral improvements. Higher striatal GABA+ levels led to better interference control at low doses, while lower ACC GABA+ and GABA+/Glx levels were associated with better interference control at medium doses, suggesting a dose-dependent shift from striatal to ACC dominance in conflict resolution. Neurophysiological (EEG data) analyses revealed increased theta-band (TBA) and alpha-band activity (ABA) overlapping in the mid-superior-frontal and inferior-frontal clusters under conditions of heightened cognitive control demands. The findings highlight that whether and how amino acid transmitter levels in cognitive control-relevant regions modulate interference conflicts depends on the degree of catecholaminergic signaling.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":"e70385"},"PeriodicalIF":3.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344888","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":"Interaction of Functional Brain Networks Is Associated With k-Clique Percolation in the Human Structural Connectome.","authors":"Vasilii Tiselko, Olesia Dogonasheva, Artem Myshkin, Denis Zakharov, Olga Valba","doi":"10.1002/hbm.70343","DOIUrl":"https://doi.org/10.1002/hbm.70343","url":null,"abstract":"<p><p>The human structural connectome has a complex internal community organization, characterized by a high degree of overlap and related to functional and cognitive phenomena. We explored connectivity properties in connectome networks and showed that <math> <semantics><mrow><mi>k</mi></mrow> <annotation>$$ k $$</annotation></semantics> </math> -clique percolation of an anomalously high order is characteristic of the human structural connectome. The resulting structural organization maintains a high local density of connectivity distributed throughout the connectome while preserving the overall sparsity of the network. To analyze these findings, we proposed a novel model for the emergence of high-order clique percolation during network formation with a phase transition dynamic under constraints on connection length. Investigating the structural basis of functional brain subnetworks, we identified a direct relationship between their interaction and the formation of clique clusters within their structural connections. Based on these findings, we hypothesize that the percolating clique cluster serves as a distributed bridge between interacting functional subnetworks, showing the complex, complementary nature of their structural connections. We also examined the difference between individual-specific and common structural connections and found that the latter plays a sustaining role in the connectivity of structural communities. At the same time, the superiority of individual connections, in contrast to common ones, creates variability in the interaction of functional brain subnetworks.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":"e70343"},"PeriodicalIF":3.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344892","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":"Mapping Human Proprioceptive Projections of Upper Limb Muscles Through Spinal Cord fMRI.","authors":"Raphaëlle Schlienger, Caroline Landelle, Sergio Daniel Hernandez-Charpak, Daniela Maria Pinzon-Corredor, Jeanne Caron-Guyon, Julien Sein, Bruno Nazarian, Jocelyne Bloch, Olivier Felician, Jean-Luc Anton, Grégoire Courtine, Anne Kavounoudias","doi":"10.1002/hbm.70386","DOIUrl":"https://doi.org/10.1002/hbm.70386","url":null,"abstract":"<p><p>The functional organization of the human spinal cord has primarily been derived from clinical observations and invasive electrophysiological studies. Recent methodological advances opened the possibility of studying the neuronal activity of the spinal cord in humans using noninvasive functional magnetic resonance imaging (fMRI). Here, we took advantage of fMRI to map the patterns of activity elicited by muscle-specific proprioceptive information along the whole cervical cord. We quantified the fMRI signals of the cervical spinal cord in 24 healthy participants who received mechanical muscle tendon vibration to stimulate proprioceptive afferents. The wrist flexor, biceps, and anterior deltoid muscles were independently stimulated while the upper limbs were stationary to avoid movement artifacts. To account for anatomical variability among participants, we optimized activity pattern localization by identifying individual rootlets and determining corresponding spinal levels using a trained deep-learning model. Distinct activation patterns emerged based on the stimulated muscle and body side, which coincided with well-established myotome maps. Concretely, the vibration-induced proprioceptive stimuli activity circumscribed to the ipsilateral ventral horn with a rostrocaudal distribution that reflected the proximo-distal location of the stimulated muscles. This spatial organization supported the proprioceptive origin of the response. This study demonstrates that muscle tendon vibration combined with spinal cord fMRI enables the noninvasive identification of upper-limb myotomes within the cervical spinal cord, offering new possibilities for studying the functional organization of the spinal cord and for clinical applications.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":"e70386"},"PeriodicalIF":3.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344937","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":"Automated Segmentation of the Pituitary and Pineal Glands.","authors":"Kathleen E Larson, Jean C Augustinack, Jocelyn Mora, Devani Shahzade, Otto Rapalino, Bruce Fischl, Douglas N Greve","doi":"10.1002/hbm.70384","DOIUrl":"https://doi.org/10.1002/hbm.70384","url":null,"abstract":"<p><p>The pituitary and pineal glands are two small yet critical brain structures that help to modulate the human endocrine system. Unfortunately, very little research has been devoted to segmenting the pineal gland, and existing methods for pituitary segmentation focus only on the entire gland without distinguishing between its two lobes. To fill this gap, this work presents the first deep-learning-based tool for segmentation of both the pineal and pituitary glands in T1-weighted MRI. A five-fold cross-validation study was conducted on a manually labeled training dataset and produced segmentations with accuracy comparable to similar methods for segmenting other small brain structures. Model performance was then tested in three publicly available datasets using a total of n = 816 subjects, the results of which were both highly reproducible and robust to differences in MRI scanners and acquisition protocols. Finally, an analysis was performed to identify group differences related to sex and the diagnosis of schizophrenia and showed that volumes measured from the output segmentations were effective at discerning sex- and disease case-related differences in the pituitary and pineal glands.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":"e70384"},"PeriodicalIF":3.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344862","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 Correlates of Goal-Directed Preparation to Switching Across External and Internal Domains","authors":"Sara Calzolari,&nbsp;Brandon T. Ingram,&nbsp;Andrew P. Bagshaw,&nbsp;Davinia Fernández-Espejo","doi":"10.1002/hbm.70376","DOIUrl":"10.1002/hbm.70376","url":null,"abstract":"<p>While it is well accepted that the human brain shifts between internal and external monitoring both during tasks and at rest, no task-switching studies have focused on brain changes when switching from and to self-referential processing. Using a cued task-switching design, we explored the preparatory fMRI activation associated with switching not only within externally oriented tasks, but also within self-referential tasks, as well as between these two domains. We found that preparing to perform internal tasks activated the default mode network, while preparing for external tasks activated regions of the dorsal attention network (DAN). Switch preparation activated left-lateralised DAN regions with ventrolateral peaks as well as dorsal precuneus, posterior cingulate and supplementary motor area. These results show a dynamic pattern of communication across networks associated with external and internal domain processing and common preparatory activation in working memory and executive control regions. In particular, the dorsal precuneus was consistently engaged in task-switch preparation, suggesting a key role of this region in cognitive control, in the context of switching across external and internal domains.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 15","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12522180/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145292024","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}