Neuroimage-Clinical最新文献

{"title":"Grey matter volume differences across Parkinson’s disease motor subtypes in the supplementary motor cortex","authors":"A. Martin ,&nbsp;J. Nassif ,&nbsp;L. Chaluvadi ,&nbsp;C. Schammel ,&nbsp;R. Newman-Norlund ,&nbsp;S. Bollmann ,&nbsp;J. Absher","doi":"10.1016/j.nicl.2024.103724","DOIUrl":"10.1016/j.nicl.2024.103724","url":null,"abstract":"<div><div>Parkinson’s Disease (PD) is the second most prevalent neurodegenerative disease worldwide due to loss of dopaminergic neurons projecting from the basal ganglia (BG). It is associated with various motor symptoms that are grouped into subtypes, each with different clinical presentations and disease progressions. Neuroimaging biomarkers focusing on regions a part of motor circuits projecting from the BG can distinguish and improve overall subtyping. The supplementary motor cortex (SMC) is well established in PD neuropathology and associated with freezing of gait and bradykinesia, but has not been thoroughly evaluated across subtypes. This study aims to identify volumetric differences of the SMC based on PD subtypes of tremor dominant (TD), postural instability with gait difficulty (PIGD), and akinetic rigid (AR) using data from Parkinson’s Progression Markers Initiative. To segment grey matter volume and extract region of interest values, voxel-based processing was used. Multi-factor ANCOVAs, Tukey Honest Significance Test, and Kruskal-Wallis were utilized for volumetric analyses (α &lt; 0.05). Subjects were classified and evaluated using TD, PIGD, and AR subtypes from the MDS-UPDRS rating scales. Inter-subtype differences in SMC GMV between TD and PIGD were significant in the right hemisphere for females (p = 0.01). No significant inter-subtype differences were found in the TD/AR system. These results support the use of broader motor networks, specifically the SMC in further understanding the neuropathological heterogeneity of PD. Furthermore, it reveals SMC differences across sexes, subtypes, and subtyping systems, calling for further evaluation of subtyping schemas, specifically regarding sex differences.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103724"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699459/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824611","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":"Consistent frontal-limbic-occipital connections in distinguishing treatment-resistant and non-treatment-resistant schizophrenia","authors":"Yijie Zhang ,&nbsp;Shuzhan Gao ,&nbsp;Chuang Liang ,&nbsp;Juan Bustillo ,&nbsp;Peter Kochunov ,&nbsp;Jessica A. Turner ,&nbsp;Vince D. Calhoun ,&nbsp;Lei Wu ,&nbsp;Zening Fu ,&nbsp;Rongtao Jiang ,&nbsp;Daoqiang Zhang ,&nbsp;Jing Jiang ,&nbsp;Fan Wu ,&nbsp;Ting Peng ,&nbsp;Xijia Xu ,&nbsp;Shile Qi","doi":"10.1016/j.nicl.2024.103726","DOIUrl":"10.1016/j.nicl.2024.103726","url":null,"abstract":"<div><h3>Background and hypothesis</h3><div>Treatment-resistant schizophrenia (TR-SZ) and non-treatment-resistant schizophrenia (NTR-SZ) lack specific biomarkers to distinguish from each other. This investigation aims to identify consistent dysfunctional brain connections with different atlases, multiple feature selection strategies, and several classifiers in distinguishing TR-SZ and NTR-SZ.</div></div><div><h3>Study design</h3><div>55 TR-SZs, 239 NTR-SZs, and 87 healthy controls (HCs) were recruited from the Affiliated Brain Hospital of Nanjing Medical University. Resting-state functional connection (FC) matrices were constructed from automated anatomical labeling (AAL), Yeo-Networks (YEO) and Brainnetome (BNA) atlases. Two feature selection methods (Select From Model and Recursive Feature Elimination) and four classifiers (Adaptive Boost, Bernoulli Naïve Bayes, Gradient Boosting and Random Forest) were combined to identify the consistent FCs in distinguishing TR-SZ and HC, NTR-SZ and HC, TR-SZ and NTR-SZ.</div></div><div><h3>Study results</h3><div>The whole brain FCs, except the temporal-occipital FC, were consistent in distinguishing SZ and HC. Abnormal frontal-limbic, frontal-parietal and occipital-temporal FCs were consistent in distinguishing TR-SZ and NTR-SZ, that were further correlated with disease progression, symptoms and medication dosage. Moreover, the frontal-limbic and frontal-parietal FCs were highly consistent for the diagnosis of SZ (TR-SZ vs. HC, NTR-SZ vs. HC and TR-SZ vs. NTR-SZ). The BNA atlas achieved the highest classification accuracy (&gt;90 %) comparing with AAL and YEO in the most diagnostic tasks.</div></div><div><h3>Conclusions</h3><div>These results indicate that the frontal-limbic and the frontal-parietal FCs are the robust neural pathways in the diagnosis of SZ, whereas the frontal-limbic, frontal-parietal and occipital-temporal FCs may be informative in recognizing those TR-SZ in the clinical practice.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103726"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721508/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142866297","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":"“Actor-critic” dichotomous hyperactivation and hypoconnectivity in obsessive–compulsive disorder","authors":"Ana Araújo ,&nbsp;Isabel C. Duarte ,&nbsp;Teresa Sousa ,&nbsp;Sofia Meneses ,&nbsp;Ana T. Pereira ,&nbsp;Trevor Robbins ,&nbsp;António Macedo ,&nbsp;Miguel Castelo-Branco","doi":"10.1016/j.nicl.2024.103729","DOIUrl":"10.1016/j.nicl.2024.103729","url":null,"abstract":"<div><div>Dysfunctional response inhibition, mediated by the striatum and its connections, is thought to underly the clinical manifestations of obsessive–compulsive disorder (OCD). However, the exact neural mechanisms remain controversial. In this study, we undertook a novel approach by positing that a) inhibition is a dynamic construct inherently susceptible to numerous failures, which require error-processing, and b) the actor-critic framework of reinforcement learning can integrate neural patterns of inhibition and error-processing in OCD with their behavioural correlates. We invited nineteen adults with OCD and 21 age-matched healthy controls to perform an fMRI-adjusted stop-signal task. Then, we extracted brain activation and connectivity values regarding distinct task phases in the “actor” and “critic” regions, here corresponding to the caudate’s head and dorsal putamen, and midbrain’s nuclei (ventral tegmental area and substantia nigra). During response preparation phases of the inhibitory process, individuals with OCD exhibited decreased functional connectivity between the “critic” structures and frontal regions involved in cognitive and executive control. Activity analysis revealed task-related hyperactivation in the midbrain alongside error-processing-specific hyperactivation in the striatum, which was correlated with excessive behavioural slowness, also found in the clinical group. Finally, we identified a remarkable opponency between activity in the ventral tegmental area and caudate leading to direct increases and indirect decreases in symptom severity. We propose a unique “actor-critic”-based domain- and timing-dependent neural profile in OCD, reflecting “harm-avoidant” styles for response suppression, and influencing symptom severity. The dichotomy of hypoconnectivity and hyperactivation in the “critic” along with the opponent relationship between the “actor” and the “critic” in determining symptom severity suggests the implication of neural adaptation mechanisms in OCD with potential relevance for neurobiologically-driven therapies.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103729"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762915/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958875","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":"Corrigendum to “Impact of adult-onset multiple sclerosis on MRI-based intracranial volume: A study in clinically discordant monozygotic twins“ [NeuroImage Clin. 42 (2024) 103597]","authors":"Matin Mortazavi ,&nbsp;Lisa Ann Gerdes ,&nbsp;Öznur Hizarci ,&nbsp;Tania Kümpfel ,&nbsp;Katja Anslinger ,&nbsp;Frank Padberg ,&nbsp;Sophia Stöcklein ,&nbsp;Daniel Keeser ,&nbsp;Birgit Ertl-Wagner","doi":"10.1016/j.nicl.2024.103669","DOIUrl":"10.1016/j.nicl.2024.103669","url":null,"abstract":"","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103669"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142300905","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":"Functional and microstructural neurosubstrates between apathy and depressive symptoms in dementia","authors":"Sheng-Min Huang ,&nbsp;Yen-Hsuan Hsu ,&nbsp;Jir-Jei Yang ,&nbsp;Chien-Yuan Lin ,&nbsp;Min-Chien Tu ,&nbsp;Li-Wei Kuo","doi":"10.1016/j.nicl.2025.103781","DOIUrl":"10.1016/j.nicl.2025.103781","url":null,"abstract":"<div><div>The overlapping features of depressive symptoms and apathy hinder their differentiation in clinical practice, and hence a greater understanding of their neurosubstrates in dementia and its subtypes is necessary. Ninety-two dementia patients (Alzheimer’s disease [AD, n = 52]; subcortical ischemic vascular disease [SIVD, n = 40]), and 30 cognitively normal subjects were evaluated using the Apathy Evaluation Scale (AES), Beck’s Depression Inventory (BDI), and brain magnetic resonance imaging (MRI). Grouped by AES/BDI scores, and hubs of depression/apathy were identified by comparing MRI metrics including fractional amplitude of low-frequency fluctuation (fALFF) of resting-state functional MRI, and mean kurtosis (MK) of diffusion kurtosis imaging. Associations between the hubs with depressive and apathy symptoms were analyzed. Comparing low-AES and high-AES groups, fALFF indicated pervasive changes mainly within the default mode network (DMN) and frontoparietal network (FPN). Comparing low-BDI and high-BDI groups, fALFF reflected changes within the DMN, FPN, and salience network (SAN). Contrarily, MK showed focal changes within DMN and SAN regions from the same group-wise comparisons. While fALFF was more correlated with DMN/FPN for AES than BDI and more significantly correlated with SIVD than AD, MK was more correlated with the left anterior cingulate cortex and right insula for AES than BDI, but more significantly correlated with AD than SIVD (all <em>P</em> &lt; 0.01). Topologically, the fALFF hubs for AES and BDI centered at the posterior and anterior poles, respectively. These findings suggest that dual-modal MRI could reflect the distinct neuropathological basis for apathy and depressive symptoms in AD and SIVD.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103781"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815233","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":"Multi-atlas multi-modality morphometry analysis of the South Texas Alzheimer’s Disease Research Center postmortem repository","authors":"Nicolas Honnorat ,&nbsp;Mariam Mojtabai ,&nbsp;Karl Li ,&nbsp;Jinqi Li ,&nbsp;David Michael Martinez ,&nbsp;Tanweer Rashid ,&nbsp;Morgan Smith ,&nbsp;Margaret E Flanagan ,&nbsp;Elyas Fadaee ,&nbsp;Morgan Fox Torres ,&nbsp;Mallory Keating ,&nbsp;Kevin Bieniek ,&nbsp;Sudha Seshadri ,&nbsp;Mohamad Habes","doi":"10.1016/j.nicl.2025.103752","DOIUrl":"10.1016/j.nicl.2025.103752","url":null,"abstract":"<div><div>Histopathology provides critical insights into the neurological processes inducing neurodegenerative diseases and their impact on the brain, but brain banks combining histology and neuroimaging data are difficult to create. As part of an ongoing global effort to establish new brain banks providing both high-quality neuroimaging scans and detailed histopathology examinations, the South Texas Alzheimer’s Disease Re- search Center postmortem repository was recently created with the specific purpose of studying comorbid dementias. As the repository is reaching a milestone of two hundred brain donations and a hundred curated MRI sessions are ready for processing, robust statistical analyses can now be conducted. In this work, we report the very first morphometry analysis conducted with this new data set. We describe the processing pipelines that were specifically developed to exploit the available MRI sequences, and we explain how we addressed several postmortem neuroimaging challenges, such as the separation of brain tissues from fixative fluids, the need for updated brain atlases, and the tissue contrast changes induced by brain fixation. In general, our results establish that a combination of structural MRI sequences can provide enough informa- tion for state-of-the-art Deep Learning algorithms to almost perfectly separate brain tissues from a formalin buffered solution. Regional brain volumes are challenging to measure in postmortem scans, but robust estimates sensitive to sex differences and age trends, reflecting clinical diagnosis, neuropathology findings, and the shrinkage induced by tissue fixation can be obtained. We hope that the new processing methods developed in this work, such as the lightweight Deep Networks we used to identify the formalin signal in multimodal MRI scans and the MRI synthesis tools we used to fix our anisotropic resolution brain scans, will inspire other research teams working with postmortem MRI scans.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103752"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463278","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":"Deep learning based tractography with TractSeg in patients with hemispherotomy: Evaluation and refinement","authors":"Johannes Gruen ,&nbsp;Tobias Bauer ,&nbsp;Theodor Rüber ,&nbsp;Thomas Schultz","doi":"10.1016/j.nicl.2025.103738","DOIUrl":"10.1016/j.nicl.2025.103738","url":null,"abstract":"<div><div>Deep learning-based tractography implicitly learns anatomical prior knowledge that is required to resolve ambiguities inherent in traditional streamline tractography. TractSeg is a particularly widely used example of such an approach. Even though it has exclusively been trained on healthy subjects, a certain level of generalization to different pathologies has been demonstrated, and TractSeg is now increasingly used for clinical cases. We explore the limits of TractSeg by evaluating it on a unique dataset of 25 patients with epilepsy who underwent hemispherotomy, a type of surgery in which the two hemispheres are surgically separated. We compare results to those on 25 healthy controls who have been imaged with the same setup.</div><div>We find that TractSeg generalizes remarkably well, given the severity of the abnormalities. However, to our knowledge, we are the first to document cases in which TractSeg erroneously reconstructs (“hallucinates”) tracts that are known to have been surgically disconnected, and we found cases in which it implausibly continues tracts through obvious lesions. At the same time, TractSeg failed to reconstruct or undersegmented some tracts that are known to be preserved.</div><div>We subsequently propose a refinement of TractSeg which aims to improve its applicability to data with pathologies, by using its Tract Orientation Maps as an anatomical prior in low-rank tensor approximation based tractography such that tracking is guaranteed to continue only where presence of the tract is directly supported by the data (“data fidelity”). We demonstrate that our extension not only eliminates hallucinated tracts and reconstructions within lesions, but that it also increases the ability to reconstruct the preserved tracts, and leads to more complete reconstructions even in healthy controls. Despite these advances, we recommend caution and manual quality control when applying deep learning based tractography to patient data.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103738"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349393","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":"Lesion network mapping of REM Sleep Behaviour Disorder","authors":"H. Odd ,&nbsp;C. Dore ,&nbsp;S.H. Eriksson ,&nbsp;L. Heydrich ,&nbsp;P. Bargiotas ,&nbsp;J. Ashburner ,&nbsp;C. Lambert","doi":"10.1016/j.nicl.2025.103751","DOIUrl":"10.1016/j.nicl.2025.103751","url":null,"abstract":"<div><div>REM Sleep Behaviour Disorder (RBD) is a parasomnia characterised by dream enactment behaviour due to loss of sleep atonia during REM sleep. It is of considerable interest as idiopathic RBD is strongly associated with a high risk of future α-synuclein disorders. Whilst candidate brainstem structures for sleep atonia have been identified in animal studies, the precise mechanisms underpinning RBD in humans remain unclear. Here, we set out to empirically define a candidate anatomical RBD network using lesion network mapping. Our objective was to test the hypothesis that RBD is either due to damage to <em>canonical RBD nodes</em> previously identified in the animal literature, or disruption to the white matter connections between these nodes, or as a consequence of damage to some other brains regions.</div><div>All published cases of secondary RBD arising due to discrete brain lesions were reviewed and those providing sufficient detail to estimate the original lesion selected. This resulted in lesion masks for 25 unique RBD cases. These were combined to create a lesion probability map, demonstrating the area of maximal overlap. We also obtained MRI lesion masks for 15 pontine strokes that had undergone sleep polysomnography investigations confirming the absence of RBD. We subsequently used these as an exclusion mask and removed any intersecting voxels from the aforementioned region of maximal overlap, creating a single candidate region-of-interest (ROIs) within the pons. This remaining region overlapped directly with the locus coeruleus. As sleep atonia is unlikely to be lateralized, a contralateral ROI was created via a left–right flip, and both were warped to the 100 healthy adult Human Connectome dataset. Probabilistic tractography was run from each ROI to map and characterize the white-matter tracts and connectivity properties.</div><div>All reported lesions were within the brainstem but there was significant variability in location. Only half of these intersected with at least one of the six a priori RBD anatomical nodes assessed, however 72 % directly intersected with the white matter tracts created from the region of maximum overlap pontine ROIs, and the remainder were within 3.05 mm (±1.51 mm) of these tracts. 92 % of lesions were either at the level of region of maximum overlap or caudal to it.</div><div>These results suggest that RBD is a brainstem disconnection syndrome, where damage anywhere along the tract connecting the rostral locus coeruleus and medulla may result in failure of sleep atonia, in line with the animal literature. This implies idiopathic disease may emerge through different patterns of damage across this brainstem circuit. This observation may account for the both the paucity of brainstem neuroimaging results reported to date and the observed phenotypic variability seen in idiopathic RBD.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103751"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421553","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":"Encoding-related hippocampus connectivity for scenes, faces, and words: Healthy people compared to people with temporal and frontal lobe epilepsy","authors":"Anna Doll ,&nbsp;Daniel A. Schlueter ,&nbsp;Martin Wegrzyn ,&nbsp;Friedrich G. Woermann ,&nbsp;Kirsten Labudda ,&nbsp;Christian G. Bien ,&nbsp;Johanna Kissler","doi":"10.1016/j.nicl.2025.103784","DOIUrl":"10.1016/j.nicl.2025.103784","url":null,"abstract":"<div><div>Interactions of the hippocampus with other brain structures are supposed to support memory formation but knowledge is limited regarding hippocampal task-based functional connectivity (FC) during encoding in both healthy people and people with epilepsy, who frequently have impaired memory. We compared absolute [FC(encoding)] and relative FC (isolating task-specific FC [FC(encoding)-FC(baseline)]) of the anterior hippocampus in 30 controls, 56 mesial temporal (mTLE, 26 right) and 24 frontal lobe epilepsy (FLE) patients using a memory fMRI-task of encoding scenes, faces and words. <strong>In controls</strong>, absolute hippocampus FC comprised regions typically active in memory fMRI-tasks and the default mode network (DMN): For faces and scenes, FC was pronounced to temporo-occipital areas, whereas for words it extended to lateral-temporal regions. Relative FC was more circumscribed and encompassed temporo-occipital and frontal stimulus-selective regions for scenes and faces. Also, relative FC revealed weaker hippocampus – DMN connectivity during encoding. <strong>mTLE</strong> patients had decreased FC from the epileptogenic hippocampus and slight disruptions from the contralateral hippocampus. Decreased absolute FC was found to the contralateral mTL, the precuneus and the posterior cingulate gyrus. Further, mTLE patients’ weaker FC to frontal and temporo-occipital regions reflected material-specific changes. Conversely, mTLE patients had higher absolute FC to regions to which the hippocampus is normally anticorrelated and increased relative FC to DMN regions. During word encoding only, <strong>FLE</strong> patients had increased left hippocampal relative FC to right-sided regions. Together, these findings further delineate the network architecture of memory in healthy people and its dysfunction in focal epilepsies, which prospectively could inform surgical interventions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103784"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850136","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":"Large-scale functional network connectivity mediate the associations of white matter lesions with executive functions and information processing speed in asymptomatic cerebral small vessels diseases","authors":"Jing Chen ,&nbsp;Weiwei lu ,&nbsp;Zhangyang Wang ,&nbsp;Mingfang Shi ,&nbsp;Zhang Shi ,&nbsp;Weibin Shi","doi":"10.1016/j.nicl.2025.103773","DOIUrl":"10.1016/j.nicl.2025.103773","url":null,"abstract":"<div><h3>Objective</h3><div>To examine the role of the large-scale functional network connectivity between white matter lesions (WMLs) and cognitive behaviors in patients of asymptomatic cerebral small vascular diseases (CSVD).</div></div><div><h3>Methods</h3><div>The study sample consisted of 211 asymptomatic CSVD patients with WMLs. Large-scale internetwork and intranetwork functional connectivity (FC) were calculated using a combination of resting-state functional MRI data and independent component analysis. Neuropsychological tests involve cognitive functions were also measured. Then, potential correlations between WMLs, functional network connectivity and cognitive behaviors were tested. Mediation analysis was used to explore the role of functional network connectivity between WMLs and cognitive behaviors.</div></div><div><h3>Results</h3><div>We successfully identified fourteen meaningful resting-state functional networks. Internetwork FC between dorsal sensorimotor network (dSMN) and right frontoparietal network (rFPN), dSMN and left frontoparietal network (lFPN), auditory network (AN) and posterior default network (pDMN), AN and executive control network (ECN), ECN and salience network (SN), dorsal attention network (DAN) and ECN were significant correlated with volumes of WMLs. Executive function were associated with internetwork FC between AN and pDMN, ECN and SN. Moreover, internetwork FC between AN and pDMN, ECN and SN mediated the relations of WMLs with executive function (for AN and pDMN, indirect effect: −0.0371, 95% CI: −0.0829 to −0.0073; for ECN and SN, indirect effect: −0.03191, 95% CI: −0.0807 to −0.0047). Moreover, left inferior parietal lobule in rFPN, right precentral gyrus in anterior default network (aDMN), right paracentral lobue in pDMN and left precunues in ECN were related to volumes of WMLs. There is a significant association of WMLs with intranetwork FC in left precunues, which could mediate the link between WMLs and information processing speed (indirect effect: −0.0437, 95% CI: −0.1055 to −0.0081).</div></div><div><h3>Conclusion</h3><div>WMLs in asymptomatic CSVD patients may induce large-scale connectivity changes including the internetwork FC and intranetwork FC, which might further influence executive function and information processing speed.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103773"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683529","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}