Human Brain Mapping最新文献

{"title":"Cost Efficiency of fMRI Studies Using Resting-State Vs. Task-Based Functional Connectivity","authors":"Xinzhi Zhang,&nbsp;Leslie A. Hulvershorn,&nbsp;Todd Constable,&nbsp;Yize Zhao,&nbsp;Selena Wang","doi":"10.1002/hbm.70260","DOIUrl":"https://doi.org/10.1002/hbm.70260","url":null,"abstract":"<p>We investigate whether and how we can improve the cost efficiency of neuroimaging studies with well-tailored fMRI tasks. The comparative study is conducted using a novel network science-driven Bayesian connectome-based predictive method, which incorporates network theories in model building and substantially improves precision and robustness in imaging biomarker detection. The robustness of the method lays the foundation for identifying predictive power differentials across fMRI task conditions if such differences exist. When applied to a clinically heterogeneous transdiagnostic cohort, we find shared and distinct functional fingerprints of neuropsychological outcomes across seven fMRI conditions. For example, the emotional N-back memory task is found to be less optimal for negative emotion outcomes, and the gradual-onset continuous performance task is found to have stronger links with sensitivity and sociability outcomes than with cognitive control outcomes. Together, our results show that there are unique optimal pairings of task-based fMRI conditions and neuropsychological outcomes that should not be ignored when designing well-powered neuroimaging studies.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 9","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70260","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336057","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":"Structural White Matter Correlates of the Crowding Effect: Insights From a Tractography Study of the Arcuate Fasciculus Post-Hemispherotomy","authors":"Justus Bisten,&nbsp;Johannes Grün,&nbsp;Christian Hoppe,&nbsp;Tobias Bauer,&nbsp;Nina R. Held,&nbsp;Renata Rose,&nbsp;Anita Althausen,&nbsp;Juri-Alexander Witt,&nbsp;Valeri Borger,&nbsp;Matthias Schneider,&nbsp;Hartmut Vatter,&nbsp;Christoph Helmstaedter,&nbsp;Alexander Radbruch,&nbsp;Rainer Surges,&nbsp;Thomas Schultz,&nbsp;Theodor Rüber","doi":"10.1002/hbm.70258","DOIUrl":"https://doi.org/10.1002/hbm.70258","url":null,"abstract":"&lt;p&gt;The neuropsychological crowding effect denotes the reallocation of cognitive functions within the contralesional hemisphere following unilateral brain damage, prioritizing language at the expense of nonverbal abilities. This study investigates structural white matter correlates of crowding in the arcuate fasciculus (AF), a key language tract, using hemispherotomy as a unique setting to explore structural reorganization supporting language preservation. We explore two main hypotheses. First, the contralesional right AF undergoes white matter reorganization correlated with preserved language function at the expense of nonverbal abilities following left-hemispheric damage. Second, this reorganization varies with epilepsy etiology, influencing different stages of developmental language lateralization. This retrospective study included individuals post-hemispherotomy and healthy controls. Inclusion criteria were; (1) being a native German speaker, (2) having no MRI contraindication, (3) the ability to undergo approximately 2 h of MRI scans, and (4) the ability to participate in neuropsychological assessments over two consecutive days. Neuroimaging included T1-, T2-, and diffusion-weighted imaging, alongside postoperative neuropsychological assessments, where it was taken as evidence for crowding if verbal IQ exceeded performance IQ by at least 10 points. The AF was reconstructed using advanced tractography, and CoBundleMAP was used to compare morphologically corresponding AF subsections. Statistical significance was set at &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;p&lt;/mi&gt;\u0000 &lt;mo&gt;&lt;&lt;/mo&gt;\u0000 &lt;mn&gt;0.05&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ p&lt;0.05 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, with correction for multiple comparisons applied across contiguous tract sections using Threshold-Free Cluster Enhancement. The final cohort comprised 22 individuals post-hemispherotomy (median age: &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;20.4&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 20.4 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; years, range: &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;12.3&lt;/mn&gt;\u0000 &lt;mo&gt;−&lt;/mo&gt;\u0000 &lt;mn&gt;43.9&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 12.3-43.9 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;; 55% female; 55% with left-sided surgeries) and 20 healthy controls (median age: &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;23.8&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 23.8 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; years, range: &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;15.5&lt;/mn&gt;\u0000 ","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 9","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70258","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315144","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":"The Role of Iron Homeostasis Imbalance in T2DM-Associated Cognitive Dysfunction: A Prospective Cohort Study Utilizing Quantitative Susceptibility Mapping","authors":"Zhenyu Cheng,&nbsp;Linfeng Yang,&nbsp;Meng Li,&nbsp;Qihao Zhang,&nbsp;Jing Li,&nbsp;Nan Zhang,&nbsp;Yena Che,&nbsp;Yiwen Chen,&nbsp;Pengcheng Liang,&nbsp;Yuanyuan Wang,&nbsp;Na Wang,&nbsp;Xinyue Zhang,&nbsp;Changhu Liang,&nbsp;Lingfei Guo","doi":"10.1002/hbm.70263","DOIUrl":"https://doi.org/10.1002/hbm.70263","url":null,"abstract":"<p>Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that significantly impacts cognitive health. Although the vascular complications of T2DM have been extensively studied, research on brain iron deposition in T2DM remains scarce, and few studies have directly linked iron accumulation in cognition-related subcortical nuclei to cognitive dysfunction. This study aims to evaluate brain iron deposition using quantitative susceptibility mapping (QSM) and identify key subcortical nuclei associated with T2DM-related cognitive decline. A total of 224 participants were recruited, including 112 T2DM patients and 112 healthy controls. QSM was used to assess iron deposition in subcortical nuclei. Structural equation modeling was employed to construct interaction models between metabolic changes, susceptibility values, and cognitive function. Additionally, polynomial regression analysis was performed to evaluate the association between glycemic variability and the QSM values of subcortical nuclei. Our findings confirmed that T2DM patients exhibited pronounced iron deposition in the caudate and putamen compared to healthy controls. Correlation analyses showed that higher QSM values in the anterior putamen, posterior putamen, and posterior caudate were associated with slower processing speed (SDMT), reduced memory performance (AVLT) and poorer executive function (TMT, SCWT), indicating that greater iron accumulation in these nuclei is associated with poorer cognitive performance. In our SEM, metabolic dysregulation was significantly associated with higher subcortical susceptibility (β = 0.224, <i>p</i> = 0.010). The model further demonstrated that susceptibility values partially mediated the effect of metabolic factors on cognition (indirect effect <i>β</i> = −0.056, <i>p</i> = 0.018) and that the overall impact of metabolic dysregulation on cognition remained significant (<i>β</i> = −0.142, <i>p</i> = 0.037). Polynomial regression found that HbA1c was the strongest predictor of anterior putamen susceptibility, and a similar pattern was observed in the posterior caudate. The study demonstrates that the role of brain iron deposition in T2DM-related cognitive dysfunction. These findings reveal an important underlying mechanism of T2DM-induced cognitive impairment and provide evidence for early intervention strategies to mitigate cognitive decline in T2DM patients.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 9","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70263","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309057","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":"Asymmetric Cingulum Bundle Connectivity Is Modulated by Paracingulate Sulcus Morphology","authors":"Isabel A. Danstrom,&nbsp;Joshua A. Adkinson,&nbsp;Meghan E. Robinson,&nbsp;Lu Lin,&nbsp;Atul Maheshwari,&nbsp;Ben Shofty,&nbsp;Garrett Banks,&nbsp;Mohammed Hasen,&nbsp;Sameer A. Sheth,&nbsp;Alica M. Goldman,&nbsp;Eleonora Bartoli,&nbsp;Sarah R. Heilbronner,&nbsp;Kelly R. Bijanki","doi":"10.1002/hbm.70230","DOIUrl":"https://doi.org/10.1002/hbm.70230","url":null,"abstract":"<p>The cingulum bundle (CB) is a group of axons supporting connectivity among several functional brain networks relevant in healthy and diseased states. The paracingulate sulcus (PCS) is present in at least one cerebral hemisphere across 70% of the population. PCS presence versus absence is linked to differences in structure and function of the anterior cingulate cortex, though the influence of PCS on the white matter of the CB remains unknown. The objective of this work was to define the CB electrographic connectivity profile and determine the impact of PCS morphology on CB engagement. Single-pulse electrical stimulation in combination with stereo-electroencephalography recordings was used to measure neural responses to left and right CB stimulation in 19 patients undergoing intracranial monitoring for treatment of refractory epilepsy. Evoked potential responses were extracted from brain areas, and a connectivity robustness ratio was computed. Network-level responses were compared across left and right CB, and with consideration of PCS morphology. CB electrographic connectivity demonstrated leftward dominance, but this was strongly impacted by PCS morphology in both cerebral hemispheres. Maximal left CB connectivity was observed in the presence of left PCS morphology, while right CB connectivity was strongest in its absence. These data strongly suggest that bilateral CB engagement is modulated by PCS morphology in the left hemisphere. These findings are particularly relevant when considering the CB as a target for treating neuropsychiatric disorders.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 9","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70230","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144300399","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":"Resting-State Brain Activity Changes and Their Genetic Correlates in Mild Traumatic Brain Injury","authors":"Lu Wang,&nbsp;Yijing Zhang,&nbsp;He Wang,&nbsp;Xinyu Wang,&nbsp;Wei Wang,&nbsp;Jin Qiao,&nbsp;Zhihui Zhang,&nbsp;Minghuan Lei,&nbsp;Wenjie Cai,&nbsp;Qi An,&nbsp;Linlin Song,&nbsp;Feng Liu,&nbsp;Juanwei Ma","doi":"10.1002/hbm.70259","DOIUrl":"https://doi.org/10.1002/hbm.70259","url":null,"abstract":"<p>Mild traumatic brain injury (mTBI) often leads to persistent cognitive and emotional symptoms, but the underlying neurobiological mechanisms remain unclear. Although previous studies have reported alterations in resting-state brain activity in mTBI patients, the findings have been inconsistent, and the genetic basis of these changes has not been fully explored. A coordinate-based voxel-wise meta-analysis was conducted to investigate resting-state brain activity changes in mTBI, using nine datasets from 374 patients and 302 healthy controls (HCs). Transcription-neuroimaging association analyses were performed using gene expression data from the Allen Human Brain Atlas (AHBA) to identify genes associated with brain activity alterations. Enrichment analyses were conducted to explore the biological functions of these genes. Compared to HCs, mTBI patients showed increased resting-state brain activity in the left insula and right fusiform gyrus, and decreased activity in the bilateral middle frontal gyrus. Transcription-neuroimaging association analyses identified 840 genes significantly correlated with these brain activity changes. Enrichment analyses revealed 15 biological processes significantly associated with the identified genes, primarily involving chemical synaptic transmission, multicellular organism development, and cell–cell signaling. These genes were also enriched in Pnoc+, Ntsr+, and Cort+ neurons and were expressed predominantly from the late fetal to early adulthood stages. Our findings suggest that alterations in resting-state brain activity in mTBI are linked to specific gene expression patterns, highlighting potential biological pathways involved in mTBI-related brain changes.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 8","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70259","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144273352","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":"Coupled Aging of Cyto- and Myeloarchitectonic Atlas-Informed Gray and White Matter Structural Properties","authors":"David A. Hoagey,&nbsp;Ekarin E. Pongpipat,&nbsp;Karen M. Rodrigue,&nbsp;Kristen M. Kennedy","doi":"10.1002/hbm.70244","DOIUrl":"https://doi.org/10.1002/hbm.70244","url":null,"abstract":"<p>A key aspect of brain aging that remains poorly understood is its high regional heterogeneity and heterochronicity. A better understanding of how the structural organization of the brain shapes aging trajectories is needed. Neuroimaging tissue “types” are often collected and analyzed as separate acquisitions, an approach that cannot provide a holistic view of age-related change in the related portions of the neurons (cell bodies and axons). Because neuroimaging can only assess indirect features at the gross macrostructural level, incorporating post-mortem histological information may aid in a better understanding of structural aging gradients. Longitudinal design, coupling of gray and white matter (GM and WM) properties, and a biologically informed approach to organizing neural properties are needed. Thus, we tested aging of the regional coupling between GM (cortical thickness, surface area, volume) and WM (fractional anisotropy, mean, axial, and radial diffusivities) structural metrics using linear mixed effects modeling in 102 healthy adults aged 20–94 years old, scanned on two occasions over a four-year period. The association between age-related within-person change in GM morphometry and the diffusion properties of the directly neighboring portion of white matter was assessed, capturing both aspects of neuronal health in one model. Additionally, we parcellated the brain utilizing the histological-staining informed von Economo-Koskinas atlas to consider regional cyto- and myelo-architecture. Results demonstrate several gradients of coupled association in the age-related decline of neighboring white and gray matter. Most notably, gradients of coupling along the heteromodal association to sensory axis were found for several areas (e.g., anterior frontal and lateral temporal cortices, vs. pre- and post-central gyrus, occipital, and limbic areas), in line with heterochronicity and retrogenesis theories of aging. Further effort to bridge across data and measurement scales will enhance understanding of the mechanisms of the aging brain.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 8","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70244","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144273351","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":"Single-Subject Network Analysis of FDOPA PET in Parkinson's Disease and Psychosis Spectrum","authors":"Mario Severino,&nbsp;Julia J. Schubert,&nbsp;Giovanna Nordio,&nbsp;Alessio Giacomel,&nbsp;Rubaida Easmin,&nbsp;Nick P. Lao-Kaim,&nbsp;Pierluigi Selvaggi,&nbsp;Zhilei Xu,&nbsp;Joana B. Pereira,&nbsp;Sameer Jauhar,&nbsp;Paola Piccini,&nbsp;Oliver Howes,&nbsp;Federico Turkheimer,&nbsp;Mattia Veronese,&nbsp;FDOPA PET Imaging Working Group Consortium","doi":"10.1002/hbm.70253","DOIUrl":"https://doi.org/10.1002/hbm.70253","url":null,"abstract":"<p>Greater understanding of individual biological differences is essential for developing more targeted treatment approaches to complex brain disorders. Traditional analysis methods in molecular imaging studies have primarily focused on quantifying tracer binding in specific brain regions, often neglecting inter-regional functional relationships. In this study, we propose a statistical framework that combines molecular imaging data with perturbation covariance analysis to construct single-subject networks and investigate individual patterns of molecular alterations. This framework was tested on [18F]-DOPA PET imaging as a marker of the brain dopamine system in patients with Parkinson's Disease (PD) and schizophrenia to evaluate its ability to classify patients and characterize their disease severity. Our results show that single-subject networks effectively capture molecular alterations, differentiate individuals with heterogeneous conditions, and account for within-group variability. Moreover, the approach successfully distinguishes between preclinical and clinical stages of psychosis and identifies the corresponding molecular connectivity changes in response to antipsychotic medications. Mapping molecular imaging networks presents a new and powerful method for characterizing individualized disease trajectories as well as for evaluating treatment effectiveness in future research.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 8","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70253","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144264380","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":"Misspelled-Word Reading Modulates Late Cortical Dynamics","authors":"Jiaxin You,&nbsp;Aino Saranpää,&nbsp;Tiina Lindh-Knuutila,&nbsp;Marijn van Vliet,&nbsp;Riitta Salmelin","doi":"10.1002/hbm.70247","DOIUrl":"https://doi.org/10.1002/hbm.70247","url":null,"abstract":"<p>Literate humans can effortlessly interpret tens of thousands of words, even when the words are sometimes written incorrectly. This phenomenon suggests a flexible nature of reading that can endure a certain amount of noise. In this study, we investigated where and when brain responses diverged for conditions where misspelled words were resolved as real words or not. We used magnetoencephalography (MEG) to track the cortical activity as the participants read words with different degrees of misspelling that were perceived to range from real words to complete pseudowords, as confirmed by their behavioral responses. In particular, we were interested in how lexical information survives (or not) along the uncertainty spectrum, and how the corresponding brain activation patterns evolve spatiotemporally. We identified three brain regions that were notably modulated by misspellings: left ventral occipitotemporal cortex (vOT), superior temporal cortex (ST), and precentral cortex (pC). This suggests that resolving misspelled words into stored concepts involves an interplay between orthographic, semantic, and phonological processing. Temporally, these regions showed fairly late and sustained responses selectively to misspelled words. Specifically, an increasing level of misspelling increased the response in ST from 300 ms after stimulus onset; a functionally fairly similar but weaker effect was observed in pC. In vOT, misspelled words were sharply distinguished from real words, notably later, after 700 ms. A linear mixed effects (LME) analysis further showed that pronounced and long-lasting misspelling effects appeared first in ST and then in pC, with shorter-lasting activation also observed in vOT. We conclude that reading misspelled words engages brain areas typically associated with language processing, but in a manner that cannot be interpreted merely as a rapid feedforward mechanism. Instead, feedback interactions likely contribute to the late effects observed during misspelled-word reading.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 8","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70247","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144264672","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":"ComBatLS: A Location- and Scale-Preserving Method for Multi-Site Image Harmonization","authors":"Margaret Gardner,&nbsp;Russell T. Shinohara,&nbsp;Richard A. I. Bethlehem,&nbsp;Rafael Romero-Garcia,&nbsp;Varun Warrier,&nbsp;Lena Dorfschmidt,&nbsp;Lifespan Brain Chart Consortium,&nbsp;Sheila Shanmugan,&nbsp;Paul Thompson,&nbsp;Jakob Seidlitz,&nbsp;Aaron F. Alexander-Bloch,&nbsp;Andrew A. Chen","doi":"10.1002/hbm.70197","DOIUrl":"https://doi.org/10.1002/hbm.70197","url":null,"abstract":"<p>Recent study has leveraged massive datasets and advanced harmonization methods to construct normative models of neuroanatomical features and benchmark individuals' morphology. However, current harmonization tools do not preserve the effects of biological covariates including sex and age on features' variances; this failure may induce error in normative scores, particularly when such factors are distributed unequally across sites. Here, we introduce a new extension of the popular ComBat harmonization method, ComBatLS, that preserves biological variance in features' locations and scales. We use UK Biobank data to show that ComBatLS robustly replicates individuals' normative scores better than other ComBat methods when subjects are assigned to sex-imbalanced synthetic “sites.” Additionally, we demonstrate that ComBatLS significantly reduces sex biases in normative scores compared to traditional methods. Finally, we show that ComBatLS successfully harmonizes consortium data collected across over 50 studies. R implementation of ComBatLS is available at https://github.com/andy1764/ComBatFamily.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 8","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70197","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255907","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":"Microstructural Characterization of Short Association Fibers Related to Long-Range White Matter Tracts in Normative Development","authors":"Chloe Cho,&nbsp;Maxime Chamberland,&nbsp;Francois Rheault,&nbsp;Daniel Moyer,&nbsp;Bennett A. Landman,&nbsp;Kurt G. Schilling","doi":"10.1002/hbm.70255","DOIUrl":"https://doi.org/10.1002/hbm.70255","url":null,"abstract":"<p>Short association fibers (SAFs) in the superficial white matter play a key role in mediating local cortical connections but have not been well-studied as innovations in whole-brain diffusion tractography have only recently been developed to study superficial white matter. Characterizing SAFs and their relationship to long-range white matter tracts is crucial to advance our understanding of neurodevelopment during the period from childhood to young adulthood. This study aims to (1) map SAFs in relation to long-range white matter tracts, (2) characterize typical neurodevelopmental changes across these white matter pathways, and (3) investigate the relationship between microstructural changes in SAFs and long-range white matter tracts. Leveraging a cohort of 616 participants ranging in age from 5.6 to 21.9 years old, we performed quantitative diffusion tractography and advanced diffusion modeling with diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Robust linear regression models were applied to analyze microstructural features, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), intracellular volume fraction (ICVF), isotropic volume fraction (ISOVF), and orientation dispersion index (ODI). Our results reveal that both SAFs and long-range tracts exhibit similar overall developmental patterns, characterized by negative associations of MD, AD, and RD with age and positive associations of FA, ICVF, ISOVF, and ODI with age. Notably, FA, AD, and ODI exhibit significant differences between SAFs and long-range tracts, suggesting distinct neurodevelopmental trajectories between superficial and deep white matter. In addition, significant differences were found in MD, RD, and ICVF between males and females, highlighting variations in neurodevelopment. This normative study provides insights into typical microstructural changes of SAFs and long-range white matter tracts during development, laying a foundation for future research to investigate atypical development and dysfunction in disease pathology.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 8","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144244639","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}