Neuroimage-Clinical最新文献

{"title":"Assessment of changes in synaptic density in the zQ175DN mouse model of Huntington’s disease: a [18F]SynVesT-1 study","authors":"Liesbeth Everix ,&nbsp;Franziska Zajicek ,&nbsp;Annemie Van Eetveldt ,&nbsp;Longbin Liu ,&nbsp;Jonathan Bard ,&nbsp;Steven Staelens ,&nbsp;Daniele Bertoglio","doi":"10.1016/j.nicl.2025.103800","DOIUrl":"10.1016/j.nicl.2025.103800","url":null,"abstract":"<div><div>Huntington’s disease (HD) is a neurodegenerative disorder characterized by involuntary movements, cognitive decline and psychiatric problems. HD has been associated with synaptic dysfunction and loss of the synaptic vesicle protein 2A (SV2A). SV2A can readily be quantified via positron emission tomography (PET) using the selective and high affinity SV2A radiotracer [¹⁸F]SynVesT-1 that we previously characterized in C57BL/6J mice. Here, we performed dynamic [¹⁸F]SynVesT-1 PET to characterize SV2A levels at various disease stages in another HD mouse model, zQ175DN, at 3 and 6 months (M) (longitudinal) and 10 M and 16 M (cross-sectional). We also conducted <em>ex vivo</em> SV2A immunofluorescent staining and [³H]UCB-J and [³H]SynVesT-1 autoradiography at 16 M. Dynamic [¹⁸F]SynVesT-1 PET revealed comparable <em>V</em>_T(IDIF) values between male and female 3 M and 6 M old zQ175DN mice. A significant age effect was found in the motor cortex and hippocampus between 3 M and 6 M. From 3 M to 10 M, no significant difference was found between heterozygous and wild-type mice. At 16 M, however, significant <em>V</em>_T(IDIF) differences were observed between genotypes in the motor cortex (−9.1 ± 3.5 %, <em>p</em> = 0.038), hippocampus (−7.5 ± 3.3, <em>p</em> = 0.036) and thalamus (−8.9 ± 3.1 %, <em>p</em> = 0.016). <em>Ex vivo</em> analyses did not confirm the observed deficits at 16 M, likely due to the decreased sensitivity compared to PET. However, [³H]SynVesT-1 and [³H]UCB-J autoradiography displayed the same outcome, ruling out a radioligand-specific effect. [¹⁸F]SynVesT-1 PET identified mild SV2A deficits in the zQ175DN model of HD at 16 M, whereas no significant SV2A deficits were detected at younger ages.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103800"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069196","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":"Network-targeted transcranial magnetic stimulation (TMS) for mild cognitive impairment (MCI)","authors":"Joy L. Taylor ,&nbsp;Priyanka Bhatt ,&nbsp;Beatriz Hernandez ,&nbsp;Michael Iv ,&nbsp;Maheen M. Adamson ,&nbsp;Alesha Heath ,&nbsp;Jerome A. Yesavage ,&nbsp;Margaret Windy McNerney","doi":"10.1016/j.nicl.2025.103819","DOIUrl":"10.1016/j.nicl.2025.103819","url":null,"abstract":"<div><h3>Background</h3><div>Transcranial magnetic stimulation (TMS) is a promising non-pharmacological intervention for treatment of mild cognitive impairment (MCI) and early Alzheimer’s disease (AD). Yet, we know little about precisely where stimulation would be ideal to improve cognitive function.</div></div><div><h3>Objective</h3><div>To examine the network functional connectivity (fc) characteristics of prefrontal and parietal stimulation sites, given that these sites have led to improved cognitive function in TMS studies involving MCI-AD and unimpaired participants.</div></div><div><h3>Methods</h3><div>Resting-state functional MRI data were acquired from 32 MCI participants at the baseline visit of an ongoing TMS trial and used to compute connectivity with prefrontal and parietal stimulation locations, selected on the basis of previous TMS studies. The TMS seed maps were examined for extent of spatial overlap with eight canonical networks. After identifying the network most likely to be targeted by TMS, we applied strategies that may provide purer targeting. Finally, we examined network connectivity in relation to participants’ behavioral characteristics because of the potential for TMS treatment to be personalized.</div></div><div><h3>Results</h3><div>The prefrontal TMS seed map overlapped primarily with the salience network. The prefrontal site is also notable for its anti-correlated connectivity with the AD-vulnerable posterior cingulate cortex (PCC). The parietal TMS seed map showed the expected strong positive connectivity with the PCC and other default network regions. Nonetheless, this particular parietal site may simultaneously modulate the fronto-parietal network. Strategies to improve network targeting and to personalize TMS are reported as secondary findings.</div></div><div><h3>Conclusion</h3><div>These results can be applied to network-targeted brain stimulation for MCI and early AD treatment. Greater precision and personalization of TMS offer the promise of achieving better outcomes for individuals with MCI or mild AD dementia.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103819"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263296","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 effects of traumatic brain Injury, post-traumatic stress disorder on Amyloid-β associated network hyperconnectivity and progression of gray matter atrophy","authors":"Susanne G. Mueller","doi":"10.1016/j.nicl.2025.103810","DOIUrl":"10.1016/j.nicl.2025.103810","url":null,"abstract":"<div><h3>Background</h3><div>Amyloid-β associated network hypersynchrony is an early manifestation of pre-clinical Alzheimer’s Disease (AD). The overall goal was to investigate a. how TBI and PTSD influence hypersynchrony expression and b. how progressing gray matter atrophy affects hypersynchrony expression.</div></div><div><h3>Methods</h3><div>T1-weighted images, resting-state fMRIs and amyloid-β SUVRs were obtained from 234 DoD-ADNI subjects with or without TBI and/or PTSD. The denoised BOLD signal from 382 rois was extracted with CONN and dynamic resting state analysis was used to identify 8 states including one corresponding to a hypersynchrony state (HSS). SuStaIn with gray matter volumes and amyloid-β SUVR as inputs was used to identify 2 subtypes with progressive gray matter loss.</div></div><div><h3>Results</h3><div>HSS dwell-time correlated positively with amyloid-β (Kendall tau = 0.125,p = 0.047) and tau Braak stage 5&amp;6 SUVR (Kendall tau = 0.200,p = 0.035). TBI increased the likelihood to observe the HSS (81 % with vs. 18 % wo TBI p &lt; 0.001) as did a diagnosis of PTSD (67.4 % with vs. 32.6 % wo PTSD, p = 0.003). The SuStaIn subtypes differed mostly by the timing of the amyloid-β build-up but not by atrophy pattern. Subtype 2 had higher amyloid-β loads and longer HSS dwell-times than subtype 1 that had higher CAPS scores than subtype 2. Gray matter atrophy did not influence HSS dwell-time.</div></div><div><h3>Conclusion</h3><div>TBI and PTSD increased the likelihood to observe HSS. HSS dwell time was determined by AD pathology severity. The subtype characteristics indicate that PTSD drives gray matter loss in subtype 1 and AD pathology that in subtype 2. Severity of gray matter atrophy influenced neither HSS occurrence nor intensity.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103810"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144169933","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":"Structural connectome manifold changes related to body mass index and their associations with eating psychopathology","authors":"Yurim Jang ,&nbsp;Jong Young Namgung ,&nbsp;Eunchan Noh ,&nbsp;Bo-yong Park","doi":"10.1016/j.nicl.2025.103817","DOIUrl":"10.1016/j.nicl.2025.103817","url":null,"abstract":"<div><div>Brain connectome analysis provides insights into body mass index (BMI)-related brain topology and cognitive functions. While alterations in the brain connectome have been observed in individuals with high BMI, evidence regarding BMI-based structural connectome alteration remains limited. In this study, we analyzed diffusion magnetic resonance imaging tractography-derived structural connectivity from 283 neurologically healthy participants by generating low-dimensional features using dimensionality reduction techniques. Two key metrics were calculated: manifold eccentricity, which indicates the relative distance of each brain region from the center of the low-dimensional manifold space, and manifold differentiation, which represents the distance between brain regions within the manifold space. Our findings revealed that individuals with high BMI exhibited greater expansion and differentiation in the control, default mode, and somatomotor networks, reflecting increased network segregation. In contrast, the visual and limbic networks displayed higher integration. Furthermore, network communication measures based on search information and path transitivity indicated less efficient communication between low-level sensory and higher-order transmodal networks in individuals with high BMI. Finally, significant associations were identified between the manifold features in the prefrontal and somatomotor regions and eating behaviors, as assessed by self-report measures from the Eating Disorder Examination Questionnaire (EDEQ) and the Three-Factor Eating Questionnaire (TFEQ). These results highlight the critical role of structural connectome organization in describing BMI and eating behaviors.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103817"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242955","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":"Normative modeling of brain MRI data identifies small subcortical volumes and associations with cognitive function in youth with fetal alcohol spectrum disorder (FASD)","authors":"Blake A. Gimbel ,&nbsp;Donovan J. Roediger ,&nbsp;Mary E. Anthony ,&nbsp;Abigail M. Ernst ,&nbsp;Kent A. Tuominen ,&nbsp;Bryon A. Mueller ,&nbsp;Erik de Water ,&nbsp;Madeline N. Rockhold ,&nbsp;CIFASD,&nbsp;Jeffrey R. Wozniak","doi":"10.1016/j.nicl.2024.103722","DOIUrl":"10.1016/j.nicl.2024.103722","url":null,"abstract":"<div><h3>Aim</h3><div>To quantify regional subcortical brain volume anomalies in youth with fetal alcohol spectrum disorder (FASD), assess the relative sensitivity and specificity of abnormal volumes in FASD vs. a comparison group, and examine associations with cognitive function.</div></div><div><h3>Method</h3><div>Participants: 47 children with FASD and 39 typically-developing comparison participants, ages 8–17 years, who completed physical evaluations, cognitive and behavioral testing, and an MRI brain scan. A large normative MRI dataset that controlled for sex, age, and intracranial volume was used to quantify the developmental status of 7 bilateral subcortical regional volumes. Z-scores were calculated based on volumetric differences from the normative sample. T-tests compared subcortical volumes across groups. Percentages of atypical volumes are reported as are sensitivity and specificity in discriminating groups. Lastly, Pearson correlations examined the relationships between subcortical volumes and neurocognitive performance.</div></div><div><h3>Results</h3><div>Participants with FASD demonstrated lower mean volumes across a majority of subcortical regions relative to the comparison group with prominent group differences in the bilateral hippocampi and bilateral caudate. More individuals with FASD (89%) had one or more abnormally small volume compared to 72% of the comparison group. The bilateral hippocampi, bilateral putamen, and right pallidum were most sensitive in discriminating those with FASD from the comparison group. Exploratory analyses revealed associations between subcortical volumes and cognitive functioning that differed across groups.</div></div><div><h3>Conclusion</h3><div>In this sample, youth with FASD had a greater number of atypically small subcortical volumes than individuals without FASD. Findings suggest MRI may have utility in identifying individuals with structural brain anomalies resulting from PAE.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103722"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11681830/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142803332","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":"Sex hormones shape EEG-based functional connectivity in early-stage Parkinson’s disease patients","authors":"Matteo Conti ,&nbsp;Roberta Bovenzi ,&nbsp;Mariangela Pierantozzi ,&nbsp;Clara Simonetta ,&nbsp;Valerio Ferrari ,&nbsp;Jacopo Bissacco ,&nbsp;Rocco Cerroni ,&nbsp;Claudio Liguori ,&nbsp;Francesca Di Giuliano ,&nbsp;Nicola Biagio Mercuri ,&nbsp;Tommaso Schirinzi ,&nbsp;Alessandro Stefani","doi":"10.1016/j.nicl.2024.103721","DOIUrl":"10.1016/j.nicl.2024.103721","url":null,"abstract":"<div><div>Parkinson’s disease (PD) epidemiology and clinical features are sexually dimorphic. However, there are no data based on EEG functional connectivity (FC). Likewise, the contribution of sex hormones on brain FC has never been evaluated. Here, we aimed to investigate the association between biological sex and sex hormones on cortical FC changes in PD using high-density EEG. This study involved 69 early-stage PD patients (F/M 27/42) and 69 age-matched healthy controls (HC) (F/M 30/39). Sex hormone levels (total-testosterone (TT), estradiol (E2), follicle-stimulating hormone (FSH), and luteinizing hormone (LH)) were assessed in PD patients. Data were recorded with a 64-channel EEG system. Source reconstruction method was used to identify brain activity. Cortico-cortical FC was analysed based on the weighted phase-lag index (wPLI) in θ-α-β-low γ bands. Network-based statistic (NBS) was used to compare FC between genders in HC and PD and to study the relationship between FC and sex hormones in PD. PD exhibited a hypoconnected network at θ and α bands and a hyperconnected network at β band compared to HC. Male HC showed a hyperconnected network at α-band compared to female HC. Conversely, males with PD showed a hypoconnected network at α-band compared to females with PD. In females and males with PD, E2 positively correlated with α-FC, while gonadotropins positively correlated with β-FC. TT positively correlated with the θ-FC only in males. Sex hormones shape EEG-FC in both males and females with PD, supporting their major influence on PD pathophysiology.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103721"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11681825/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808153","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":"Hypoperfusion regions linked to National Institutes of Health Stroke Scale scores in acute stroke","authors":"Hana Kim ,&nbsp;Alex Teghipco ,&nbsp;Chris Rorden ,&nbsp;Julius Fridriksson ,&nbsp;Mathew Chaves ,&nbsp;Argye E. Hillis","doi":"10.1016/j.nicl.2025.103761","DOIUrl":"10.1016/j.nicl.2025.103761","url":null,"abstract":"<div><h3>Background</h3><div>The National Institutes of Health Stroke Scale (NIHSS) is widely used to assess stroke severity. While prior studies have identified subcortical regions where infarcts correlate with NIHSS scores, stroke symptoms can also arise from hypoperfusion, not just infarcts. Understanding the potential for neurological recovery post-reperfusion is essential for guiding treatment decisions. The goal of this study was to identify brain regions where hypoperfusion correlates with NIHSS scores, using computed tomography perfusion (CTP) scans in cases of acute ischemic stroke.</div></div><div><h3>Methods</h3><div>In this prospective observational study, we analyzed CTP scans and NIHSS scores from 89 patients in the acute phase. We employed a unique support vector regression approach to overcome limitations of traditional mass univariate analyses. Additionally, we used stability selection to identify the most consistent features across subsets, reducing overfitting and ensuring robust predictive models. We verified the consistency of results through nested cross-validation.</div></div><div><h3>Results</h3><div>Both cortical and subcortical areas, including white matter tracts, showed associations with NIHSS scores. These regions aligned with functions such as language, spatial attention, sensory, and motor skills, all assessed by the NIHSS.</div></div><div><h3>Conclusions</h3><div>Our findings reveal that hypoperfusion in specific brain regions, including previously underreported cortical areas, contributes to NIHSS scores in acute stroke. Moreover, this study introduces a novel brain mapping approach using CTP imaging and stability selection, offering a more comprehensive view of acute stroke impairments and the potential for recovery before structural reorganization occurs.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103761"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488060","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":"White matter microstructural integrity mediates associations between prenatal endocrine-disrupting chemicals exposure and intelligence in adolescents","authors":"Shi-Ming Wang ,&nbsp;Hui-Ju Wen ,&nbsp;Fan Huang ,&nbsp;Chien-Wen Sun ,&nbsp;Chih-Mao Huang ,&nbsp;Shu-Li Wang","doi":"10.1016/j.nicl.2025.103758","DOIUrl":"10.1016/j.nicl.2025.103758","url":null,"abstract":"<div><div>Per- and polyfluoroalkyl substances (PFAS) and phthalic acid esters (PAEs) are well-known endocrine-disrupting chemicals (EDCs) that potentially affect child neurodevelopment. We aimed to investigate the effects of prenatal exposure to PFAS and PAEs on macro- and micro-structural brain development and intelligence in adolescents using multimodal neuroimaging techniques. We employed structural magnetic resonance imaging (MRI) and various diffusion MRI techniques, including diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and neurite orientation dispersion and density imaging (NODDI), to assess the gray-matter macrostructure and white-matter microstructural integrity and complexity. Participants were drawn from a birth cohort of 52 mother–child pairs in central Taiwan recruited in 2001, and the adolescent intelligence quotient (IQ) scores were assessed using the Wechsler Intelligence Scale. Nine PFAS concentrations of cord blood and maternal serum samples were obtained from the children’s mothers during the third trimester of pregnancy (27–40 weeks) using a liquid chromatography system coupled to a triple-quadrupole mass spectrometer, while maternal urinary phthalates were used to evaluate PAEs exposure. Our results showed significant associations between prenatal exposure to PFAS and phthalates with changes in specific fronto-parietal regions of the adolescent male brain, including reduced cortical thickness in the inferior frontal gyrus and right superior parietal cortex, which are involved in language, memory, and executive function. A dose–response association was observed, with higher levels of PFAS and PAE exposure modulating altered white-matter fiber integrity in the superior cerebellar peduncle and inferior cerebellar peduncle of the male and female adolescent brains. In addition, higher levels of prenatal exposure to EDCs were associated with lower IQ scores in adolescents. Mediation analyses further revealed that white-matter microstructure of inter-hemispheric and cerebellar fibers mediated the association between prenatal EDC exposure and adolescent IQ scores in female adolescents. Our multimodal human neuroimaging findings suggest that prenatal exposure to EDCs may have long-lasting effects on neuroanatomical development, neural fiber connectivity, and intelligence in adolescents, and highlight the importance of using advanced diffusion imaging techniques, including DKI and NODDI, to detect neurodevelopmental changes and their brain-behavioral consequences with the risks associated with these environmental exposures.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103758"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453405","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":"Boostering diagnosis of frontotemporal lobar degeneration with AI-driven neuroimaging – A systematic review and meta-analysis","authors":"Qiong Wu ,&nbsp;Dimitra Kiakou ,&nbsp;Karsten Mueller ,&nbsp;Wolfgang Köhler ,&nbsp;Matthias L. Schroeter","doi":"10.1016/j.nicl.2025.103757","DOIUrl":"10.1016/j.nicl.2025.103757","url":null,"abstract":"<div><h3>Background and Objectives</h3><div>Frontotemporal lobar degeneration (FTLD) as the second most common dementia encompasses a range of syndromes and often shows overlapping symptoms with other subtypes or neurodegenerative diseases, which poses a significant clinical diagnostic challenge. Recent advancements in artificial intelligence (AI), specifically the application of machine learning (ML) algorithms to neuroimaging, have significantly progressed in addressing this challenge. This study aims to assess the diagnostic and predictive efficacy of neuroimaging feature-based AI algorithms for FTLD.</div></div><div><h3>Methods</h3><div>We conducted a systematic review and <em>meta</em>-analysis following PRISMA guidelines. We searched Pubmed, Scopus, and Web of Science for English-language, peer-reviewed studies using the following three umbrella terms: artificial intelligence, frontotemporal lobar degeneration, and neuroimaging modality. Our survey focused on computer-aided diagnosis for FTLD, employing machine/deep learning with neuroimaging radiomic features.</div></div><div><h3>Results</h3><div>The <em>meta</em>-analysis includes 75 articles with 20,601 subjects, including 8,051 FTLD patients. The results reveal that FTLD can be automatically classified against healthy controls (HC) with pooled sensitivity and specificity of 86% and 89%, respectively. Likewise, FTLD versus Alzheimer’s disease (AD) classification exhibits pooled sensitivity and specificity of 84% and 81%, while FTLD versus Parkinson’s disease (PD) demonstrates pooled sensitivity and specificity of 84% and 75%, respectively. Classification performance distinguishing FTLD from atypical Parkinsonian syndromes (APS) showed pooled sensitivity and specificity of 84% and 79%, respectively. Multiclass classification sensitivity ranges from 42% to 100%, with lower sensitivity occurring in higher class distinctions (e.g., 5-class and 11-class).</div></div><div><h3>Discussion</h3><div>Our study demonstrates the effectiveness of utilizing neuroimaging features to distinguish FTLD from HC, AD, APS, and PD in binary classification. Utilizing deep learning with multimodal neuroimaging data to differentiate FTLD subtypes and perform multiclassification among FTLD and other neurodegenerative disease holds promise for expediting diagnosis. In sum, the <em>meta</em>-analysis supports translation of machine learning tools in combination with imaging to clinical routine paving the way to precision medicine.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103757"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453448","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":"Association of valproate use and hippocampal atrophy in idiopathic generalized epilepsy","authors":"Xiang Huang ,&nbsp;Yingying Zhang ,&nbsp;Qiuxing Lin ,&nbsp;Kailing Huang ,&nbsp;Yuming Li ,&nbsp;Peiwen Liu ,&nbsp;Danyang Cao ,&nbsp;Wenhao Li ,&nbsp;Wei Li ,&nbsp;Xiuli Li ,&nbsp;Qiyong Gong ,&nbsp;Dong Zhou ,&nbsp;Dongmei An","doi":"10.1016/j.nicl.2025.103744","DOIUrl":"10.1016/j.nicl.2025.103744","url":null,"abstract":"<div><h3>Objective</h3><div>Recent studies revealed the effect of valproate (VPA) on brain structural changes in idiopathic generalized epilepsy (IGE). We aimed to investigate the volume of the entire hippocampus and subfields in patients with IGE, and explored their associations with VPA use.</div></div><div><h3>Methods</h3><div>A total of 211 patients with IGE and 97 healthy controls (HCs) were enrolled in this study. All participants underwent T1-weighted images. Each hippocampus was segmented into seven subfields using HippUnfold. The volumes of bilateral hippocampi and each hippocampal subfield were evaluated. Spearman correlation analyses were performed to identify VPA use related abnormalities in IGE. Subgroup analyses for juvenile myoclonic epilepsy (JME), epilepsy with generalized tonic–clonic seizures alone (GTCA), and absence epilepsy (AE) were conducted.</div></div><div><h3>Results</h3><div>The volumes of bilateral hippocampi were reduced in IGE compared with HCs. Subgroup analysis showed significant volume reductions in right hippocampus and its subfields in GTCA. Additionally, significant volume reductions were detected in bilateral hippocampal volumes and subfields in IGE patients currently taking VPA compared with HCs. A negative correlation was observed between the left CA2 volume and the age of onset.</div></div><div><h3>Conclusions</h3><div>Our study revealed volume reductions in bilateral hippocampi in IGE, as well as in the right hippocampus and its subfields in GTCA. Abnormalities in both subfields and the whole hippocampus were associated with VPA use. These findings suggest that VPA may have more extensive neuroanatomical effects in IGE, potentially accounting for the heterogeneity observed in neuroimaging studies.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103744"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182712","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}