Neuroimage-Clinical最新文献

{"title":"Comparable 40 Hz auditory steady-state responses in children at familial high risk for schizophrenia or bipolar disorder and population-based controls","authors":"Kit Melissa Larsen , Júlia Díaz-i-Calvete , Anna Hester Ver Loren van Themaat , Anne Amalie Elgaard Thorup , Kerstin Jessica Plessen , Merete Nordentoft , Hartwig Roman Siebner","doi":"10.1016/j.nicl.2025.103841","DOIUrl":"10.1016/j.nicl.2025.103841","url":null,"abstract":"","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103841"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144589008","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":"Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: A multi-reader study","authors":"Tommaso Di Noto ,&nbsp;Sofyan Jankowski ,&nbsp;Francesco Puccinelli ,&nbsp;Guillaume Marie ,&nbsp;Sebastien Tourbier ,&nbsp;Yasser Alemán-Gómez ,&nbsp;Oscar Esteban ,&nbsp;Ricardo Corredor-Jerez ,&nbsp;Guillaume Saliou ,&nbsp;Patric Hagmann ,&nbsp;Meritxell Bach Cuadra ,&nbsp;Jonas Richiardi","doi":"10.1016/j.nicl.2025.103835","DOIUrl":"10.1016/j.nicl.2025.103835","url":null,"abstract":"<div><div>Despite the plethora of AI-based algorithms developed for anomaly detection in radiology, subsequent integration into clinical setting is rarely evaluated. In this work, we assess the applicability and utility of an AI-based model for brain aneurysm detection comparing the performance of two readers with different levels of experience (2 and 13 years). We aim to answer the following questions: 1) Do the readers improve their performance when assisted by the AI algorithm? 2) How much does the AI algorithm impact routine clinical workflow? We reuse and enlarge our open-access, Time-Of-Flight Magnetic Resonance Angiography dataset (N = 460). We use 360 subjects for training/validating our algorithm and 100 as unseen test set for the reading session. Even though our model reaches state-of-the-art results on the test set (sensitivity = 74 %, false positive rate = 1.6), we show that neither the junior nor the senior reader significantly increase their sensitivity (p = 0.59, p = 1, respectively). In addition, we find that reading time for both readers is significantly higher in the “AI-assisted” setting than in the “Unassisted” (+15 s, on average; <span><math><mrow><mi>p</mi><mo>=</mo><mn>3</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>-</mo><mn>4</mn></mrow></msup></mrow></math></span> junior, <span><math><mrow><mi>p</mi><mo>=</mo><mn>3</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>-</mo><mn>5</mn></mrow></msup></mrow></math></span> senior). The confidence reported by the readers is unchanged across the two settings, indicating that the AI assistance does not influence the certainty of the diagnosis. Our findings highlight the importance of clinical validation of AI algorithms in a clinical setting involving radiologists. This study should serve as a reminder to the community to always examine the real-word effectiveness and workflow impact of proposed algorithms.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103835"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549662","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":"Modulations of thalamo-cortical coupling during voluntary movement in patients with essential tremor","authors":"Alexandra Steina ,&nbsp;Sarah Sure ,&nbsp;Markus Butz ,&nbsp;Jan Vesper ,&nbsp;Alfons Schnitzler ,&nbsp;Jan Hirschmann","doi":"10.1016/j.nicl.2025.103848","DOIUrl":"10.1016/j.nicl.2025.103848","url":null,"abstract":"<div><div>The ventral intermediate nucleus of the thalamus (VIM) is the main thalamic hub for cerebellar inputs and the primary deep brain stimulation target in essential tremor (ET). As such, it presumably plays a critical role in motor control. However, this structure is rarely studied in humans, and existing studies mostly focus on tremor. Here, we studied neural oscillations in the VIM and their coupling to cortical oscillations during voluntary movement.</div><div>We investigated thalamo-cortical coupling, combining recordings of thalamic local field potentials and magnetoencephalography, in 10 ET patients with externalized deep brain stimulation electrodes. During the recording, patients repeatedly pressed a button in response to a visual cue. In a whole-brain analysis of VIM-cortex coherence, we contrasted activity during pre-movement baseline and button pressing.</div><div>Button pressing was associated with a bilateral decrease of thalamic alpha (8–12 Hz) and beta (13–21 Hz) power and a contralateral gamma (35–90 Hz) power increase. Alpha/low-beta (8–20 Hz) coherence decreased during movement. This effect localized to the supplementary motor area and premotor cortex. A high-beta (21–35 Hz) coherence increase occurred in the same region but was more focal than the suppression. Pre-movement levels of thalamo-cortex low-beta coherence correlated with reaction time.</div><div>Our results demonstrate that voluntary movement is associated with modulations of behaviourally relevant thalamic coupling, primarily to premotor areas. We observed a clear distinction between low- and high-beta frequencies and our results suggest that the concept of “antikinetic” beta oscillations, originating from research on Parkinson’s disease, is transferable to ET.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103848"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662572","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":"Electric field variations across DLPFC targeting methods in TMS therapy for Alzheimer’s disease","authors":"Nianshuang Wu ,&nbsp;Yuxuan Shao ,&nbsp;Zhen Wu ,&nbsp;Shuxiang Zhu ,&nbsp;Penghao Wang ,&nbsp;Ziyan Zhu ,&nbsp;Cheng Zhang ,&nbsp;Changzhe Wu ,&nbsp;Xiaolin Huo ,&nbsp;Hua Lin ,&nbsp;Guanghao Zhang","doi":"10.1016/j.nicl.2025.103847","DOIUrl":"10.1016/j.nicl.2025.103847","url":null,"abstract":"<div><h3>Background</h3><div>The dorsolateral prefrontal cortex (DLPFC) is crucial for cognitive control and a primary target for transcranial magnetic stimulation (TMS) in Alzheimer’s disease (AD). However, understanding the distribution of TMS-induced electric field (E-field) across different targeting methods remains limited, as does its relationship to therapeutic outcomes.</div></div><div><h3>Objective</h3><div>This study assesses differences in TMS-induced E-field using functional versus anatomical targeting methods for DLPFC stimulation.</div></div><div><h3>Methods</h3><div>Functional and anatomical targets were identified in 30 (11 M/19F) AD patients and 30 (13 M/17F) age-matched healthy controls (HCs) using T1 and fMRI data. E-field characteristics, including magnitude (E_ROI) and normal component (E_⊥), were calculated via SimNIBS software for comparisons across stimulation targets.</div></div><div><h3>Results</h3><div>Functional targeting showed greater spatial dispersion compared to anatomical targeting in both groups. Significant E-field differences were observed between the functional target and adjacent anatomical regions when the coil was positioned over the functional target in both groups. Optimal coil orientation exhibited directional specificity: parallel alignment with the LOI E-field produced higher field intensity in the functional target compared to the anatomical target (AD patients: <em>P</em> &lt; 0.001; HCs: <em>P</em> = 0.052), while perpendicular orientation maintained functional stability with reduced anatomical interference (both groups: <em>P</em> &lt; 0.001). And significant variations in E-field ratios were observed across coil orientations.</div></div><div><h3>Conclusion</h3><div>This study reveals key E-field disparities across DLPFC targeting approaches and establishes coil orientation optimization as a critical strategy to improve TMS precision, offering actionable insights for developing personalized protocols in AD therapy that may enhance treatment efficacy while minimizing adverse effects.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103847"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679686","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":"Broader functionality of language areas at the left middle frontal gyrus in patients with Broca’s area tumors","authors":"Riho Nakajima ,&nbsp;Akitoshi Ogawa ,&nbsp;Masashi Kinoshita ,&nbsp;Takahiro Osada ,&nbsp;Hirokazu Okita ,&nbsp;Seiki Konishi ,&nbsp;Mitsutoshi Nakada","doi":"10.1016/j.nicl.2025.103860","DOIUrl":"10.1016/j.nicl.2025.103860","url":null,"abstract":"<div><div>The frontal language area (FLA; left posterior inferior frontal gyrus [pIFG] or Broca’s area), critical for language processing can reorganize in response to lesion progression. While reorganization in the contralateral hemisphere is well known, how reorganization occurs within the ipsilateral hemisphere, especially in the perilesional region, remains unclear. Direct electrical stimulation (DES) during awake surgery enables identification of causal relationships between brain regions and language functions with high spatial resolution. In this study, we investigated cortical reorganization within the ipsilateral hemisphere of the FLA. Seventy-two patients with left hemisphere gliomas were studied. Patients were divided into FLA and non-FLA groups based on whether lesions included the pIFG (n = 10 and n = 62, respectively). All patients underwent DES during a picture-naming task, as recommended by awake surgery guidelines. A subset also underwent resting-state functional MRI (rsfMRI) before surgery to calculate betweenness centrality, an index of network importance of brain areas. DES revealed that the pIFG exhibited positive (impaired) responses to the picture-naming task in both groups. Notably, the frequency of positive responses in the middle frontal gyrus (MFG) was significantly higher in the FLA group than in the non-FLA group. RsfMRI-based network analyses revealed that two areas in the MFG, one in the anterior part and the other in the posterior part, showed higher centrality than surrounding frontal areas in both groups, especially the posterior one. These results suggest that language areas can be observed in the perilesional MFG regions following tumor progression, and raise the possibility that network hubs contribute to maintaining cognitive functions after brain lesions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103860"},"PeriodicalIF":3.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144827430","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":"Beyond language: empathy and emotion recognition deficits in primary progressive aphasias","authors":"Giulia Giacomucci ,&nbsp;Alice Pieri ,&nbsp;Valentina Moschini ,&nbsp;Chiara Crucitti ,&nbsp;Sonia Padiglioni ,&nbsp;Carmen Morinelli ,&nbsp;Giulia Galdo ,&nbsp;Filippo Emiliani ,&nbsp;Matilde Nerattini ,&nbsp;Silvia Bagnoli ,&nbsp;Assunta Ingannato ,&nbsp;Sandro Sorbi ,&nbsp;Benedetta Nacmias ,&nbsp;Valentina Berti ,&nbsp;Valentina Bessi","doi":"10.1016/j.nicl.2025.103852","DOIUrl":"10.1016/j.nicl.2025.103852","url":null,"abstract":"<div><div>Although primary progressive aphasia (PPA) is considered a language disorder, increasing evidence points to the presence of social cognition impairments in PPA variants. The aims of this study were to explore empathy and emotion recognition deficits in the three PPA variants (sv-PPA, lv-PPA, nfv-PPA) and to identify their neural correlates.</div><div>Eleven sv-PPA, 34 lv-PPA,11 nfv-PPA patients and 34 healthy controls (HC) were included in this study. Empathy was explored with the Interpersonal Reactivity Index (IRI) (Perspective Taking – PT, Fantasy – FT, Empathic Concern – EC, Personal Distress – PD), rated by caregivers before (T0) and after (T1) the onset of cognitive symptoms. Emotion recognition was evaluated with the Ekman 60Faces (EK-60F) Test and metabolic activity with [18F]FDG-PET.</div><div>In all PPA variants, PT score was reduced from T0 to T1 (sv-PPA <em>p</em> = 0.014, lv-PPA <em>p</em> &lt; 0.001, nfv-PPA <em>p</em> = 0.022) and PD score was increased (sv-PPA <em>p</em> = 0.033, lv-PPA <em>p</em> &lt; 0.001, nfv-PPA <em>p</em> = 0.009). Only lv-PPA showed a decrease of FT score (<em>p</em> = 0.024), while EC was spared in all three variants. Sv-PPA patients had the worst performances in the EK-60F Test, followed by lv-PPA and, lastly, by nfv-PPA.</div><div>Correlations between EK-60F scores and metabolic activity were found in sv-PPA and lv-PPA, highlighting the involvement of areas participating in the emotion recognition network: cingulate cortex, insula, temporal and orbitofrontal cortices and inferior frontal gyrus.</div><div>All PPA variants exhibited impairments in cognitive empathy (PT) and heightened emotional contagion (PD). The most severe deficits in emotion recognition were shown by sv-PPA, while nfv-PPA was the less impaired variant.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103852"},"PeriodicalIF":3.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144769309","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":"Distinct neural mechanisms underlying cognitive difficulties in preterm children born at different stages of prematurity","authors":"Samson Nivins ,&nbsp;Nelly Padilla ,&nbsp;Hedvig Kvanta ,&nbsp;Gustaf Mårtensson ,&nbsp;Ulrika Ådén","doi":"10.1016/j.nicl.2025.103876","DOIUrl":"10.1016/j.nicl.2025.103876","url":null,"abstract":"<div><h3>Objectives</h3><div>To examine associations between low cognitive-performance and regional-and network-level brain changes at ages 9–10 in very-preterm, moderately-preterm, and full-term children, and explore whether these alterations predict ASD/ADHD symptoms at age 12.</div></div><div><h3>Methods</h3><div>This longitudinal population-based study included 9–10-year-old U.S. children from ABCD Study. Children underwent brain imaging and cognitive assessment using NIH Toolbox. Cortical thickness and subcortical volumes of preterm-children with low cognitive-performance (NIH composite score &lt; -1SD and &gt; -2SD) were compared with preterm and full-term peers with typical performance (≥-1SD). Structural covariance networks were also examined.</div></div><div><h3>Results</h3><div>Among 7281 children (mean age 9.9 ± 0.6 years; 52.2 % boys), 71 were very-preterm, 151 moderately-preterm, and 7056 full-term. Low cognitive-performance was most prevalent in very-preterm children (29.6 %), followed by moderately-preterm (24.0 %) and full-term children (16.2 %).</div><div>Very-preterm children with low cognitive-performance had thinner inferior temporal cortex (β = -0.58; p = 0.03), thinner fusiform gyrus (β = -0.62; p = 0.02), and larger amygdala volumes (β = 0.41; p = 0.05) compared to very-preterm children with typical performance. Moderately-preterm children with low cognitive-performance had smaller hippocampal volumes (β = -0.32; p = 0.01). Similar patterns were observed when comparing preterm children with low cognitive-performance to full-term peers with typical performance. Structural covariance network analysis revealed stronger covariance between the precuneus-postcentral gyrus pair among moderately-preterm children with low cognitive-performance. Individualized Differential Structural Covariance Network values extracted from this pair were positively associated with ASD/ADHD symptoms, though not statistically significance.</div></div><div><h3>Conclusion</h3><div>Low cognitive performance in preterm children is associated with distinct regional and network-level brain differences, differing by prematurity. Stronger hub covariance may reflect compensatory mechanisms, highlighting the need for prematurity-tailored interventions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103876"},"PeriodicalIF":3.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018394","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":"Corrigendum to “Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis” [Neuroimage: Clin. 42 (2024) 103598]","authors":"Cui Ci Voon ,&nbsp;Tun Wiltgen ,&nbsp;Benedikt Wiestler ,&nbsp;Sarah Schlaeger ,&nbsp;Mark Mühlau","doi":"10.1016/j.nicl.2024.103693","DOIUrl":"10.1016/j.nicl.2024.103693","url":null,"abstract":"","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103693"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565306","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":"Radiomics feature similarity: A novel approach for characterizing brain network changes in patients with behavioral variant frontotemporal dementia","authors":"Salvatore Nigro ,&nbsp;Marco Filardi ,&nbsp;Benedetta Tafuri ,&nbsp;Roberto De Blasi ,&nbsp;Maria Teresa Dell’Abate ,&nbsp;Alessia Giugno ,&nbsp;Valentina Gnoni ,&nbsp;Giammarco Milella ,&nbsp;Daniele Urso ,&nbsp;Chiara Zecca ,&nbsp;Stefano Zoccolella ,&nbsp;Giancarlo Logroscino","doi":"10.1016/j.nicl.2025.103780","DOIUrl":"10.1016/j.nicl.2025.103780","url":null,"abstract":"<div><h3>Introduction</h3><div>Network modeling is increasingly used to study brain alterations in neurological disorders. In this study, we apply a novel modeling approach based on the similarity of regional radiomics feature to characterize gray matter network changes in patients with behavioral variant frontotemporal dementia (bvFTD) using MRI data.</div></div><div><h3>Methods</h3><div>In this cross-sectional study, we assessed structural 3 T MRI data from twenty patients with bvFTD and 20 cognitively normal controls. Radiomics features were extracted from T1-weighted MRI based on cortical and subcortical brain segmentation. Similarity in radiomics features between brain regions was used to construct intra-individual structural gray matter networks. Regional mean connectivity strength (RMCS) and region-to-region radiomics similarity were compared between bvFTD patients and controls. Finally, associations between network measures, clinical data, and biological features were explored in bvFTD patients.</div></div><div><h3>Results</h3><div>Relative to controls, patients with bvFTD showed higher RMCS values in the superior frontal gyrus, right inferior temporal gyrus and right inferior parietal gyrus (FDR-corrected p &lt; 0.05). Patients with bvFTD also showed several edges of increased radiomics similarity in key components of the frontal, temporal, parietal and thalamic pathways compared to controls (FDR-corrected p &lt; 0.05). Network measures in frontotemporal circuits were associated with Mini-Mental State Examination scores and cerebrospinal fluid total-tau protein levels (Spearman r &gt; |0.7|, p &lt; 0.005).</div></div><div><h3>Conclusions</h3><div>Our study provides new insights into frontotemporal network changes associated with bvFTD, highlighting specific associations between network measures and clinical/biological features. Radiomics feature similarity analysis could represent a useful approach for characterizing brain changes in patients with frontotemporal dementia.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103780"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800414","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":"Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models","authors":"Yinping Lu ,&nbsp;Luyao Wang ,&nbsp;Toshiya Murai ,&nbsp;Jinglong Wu ,&nbsp;Dong Liang ,&nbsp;Zhilin Zhang","doi":"10.1016/j.nicl.2025.103764","DOIUrl":"10.1016/j.nicl.2025.103764","url":null,"abstract":"<div><div>Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by the disconnection of white matter fibers and disrupted functional connectivity of gray matter; however, the pathological mechanisms linking structural and functional changes remain unclear. This study aimed to explore the interaction between the structural and functional brain network in AD using advanced structural–functional coupling (S-F coupling) models to assess whether these changes correlate with cognitive function, Aβ deposition levels, and gene expression. In this study, we utilized multimodal magnetic resonance imaging data from 41 individuals with AD, 112 individuals with mild cognitive impairment, and 102 healthy controls to explore these mechanisms. We applied different computational models to examine the changes in the S-F coupling associated with AD. Our results showed that the communication and graph harmonic models demonstrated greater heterogeneity and were more sensitive than the statistical models in detecting AD-related pathological changes. In addition, S-F coupling increases with AD progression at the global, subnetwork, and regional node levels, especially in the medial prefrontal and anterior cingulate cortices. The S-F coupling of these regions also partially mediated cognitive decline and Aβ deposition. Furthermore, gene enrichment analysis revealed that changes in S-F coupling were strongly associated with the regulation of cellular catabolic processes. This study advances our understanding of the interaction between structural and functional connectivity and highlights the importance of S-F coupling in elucidating the neural mechanisms underlying cognitive decline in AD.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103764"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642667","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}