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structure-function coupling and hierarchy-specific antidepressant response in major depressive disorder

PSYCHOLOGICAL MEDICINE 2024年第10期54卷 2688-2697页

作者： Wang, Xinyi Xue, Li Hua, Lingling Shao, Junneng Yan, Rui Yao, Zhijian Lu, Qing Southeast Univ Sch Biol Sci & Med Engn Nanjing Peoples R China Minist Educ Southeast Univ Key Lab Child Dev & Learning Sci Nanjing Peoples R China Nanjing Med Univ Affiliated Brain Hosp Departmentof Psychiat Nanjing Peoples R China Nanjing Univ Nanjing Brain Hosp Clin Teaching Hosp Med Sch Nanjing Peoples R China

Background. Extensive research has explored altered structural and functional networks in major depressive disorder (MDD). However, studies examining the relationships between structure and function yielded heterogeneous and inconclusive results. Recent work has suggested that the structure-function relationship is not uniform throughout the brain but varies across different levels of functional hierarchy. This study aims to investigate changes in structure-function couplings (SFC) and their relevance to antidepressant response in MDD from a functional hierarchical perspective. Methods. We compared regional SFC between individuals with MDD (n = 258) and healthy controls (HC, n = 99) using resting-state functional magnetic resonance imaging and diffusion tensor imaging. We also compared antidepressant non-responders (n = 55) and responders (n = 68, defined by a reduction in depressive severity of >50%). To evaluate variations in altered and response-associated SFC across the functional hierarchy, we ranked significantly different regions by their principal gradient values and assessed patterns of increase or decrease along the gradient axis. The principal gradient value, calculated from 219 healthy individuals in the Human Connectome Project, represents a region's position along the principal gradient axis. Results. Compared to HC, MDD patients exhibited increased SFC in unimodal regions (lower principal gradient) and decreased SFC in transmodal regions (higher principal gradient) (p < 0.001). Responders primarily had higher SFC in unimodal regions and lower SFC in attentional networks (median principal gradient) (p < 0.001). Conclusions. Our findings reveal opposing SFC alterations in low-level unimodal and high-level transmodal networks, underscoring spatial variability in MDD pathology. Moreover, hierarchy-specific antidepressant effects provide valuable insights into predicting treatment outcomes.

关键词： antidepressant response brain hierarchy functional connectivity gradient structure-function coupling

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structure-function coupling in white matter uncovers the hypoconnectivity in autism spectrum disorder

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MOLECULAR AUTISM 2024年第1期15卷 43页

作者： Qing, Peng Zhang, Xiaodong Liu, Qi Huang, Linghong Xu, Dan Le, Jiao Kendrick, Keith M. Lai, Hua Zhao, Weihua Univ Elect Sci & Technol China Sichuan Prov Peoples Hosp Ctr Psychosomat Med Sichuan Prov Ctr Mental Hlth Chengdu 611731 Peoples R China Univ Elect Sci & Technol China Chengdu Womens & Childrens Cent Hosp Sch Med Chengdu 611731 Peoples R China

BackgroundAutism Spectrum Disorder (ASD) is a neurodevelopmental disorder associated with alterations in structural and functional coupling in gray matter. However, despite the detectability and modulation of brain signals in white matter, the structure-function coupling in white matter in autism remains less *** this study, we investigated structural-functional coupling in white matter (WM) regions, by integrating diffusion tensor data that contain fiber orientation information from WM tracts, with functional connectivity tensor data that reflect local functional anisotropy information. Using functional and diffusion magnetic resonance images, we analyzed a cohort of 89 ASD and 63 typically developing (TD) individuals from the Autism Brain Imaging Data Exchange II (ABIDE-II). Subsequently, the associations between structural-functional coupling in WM regions and ASD severity symptoms assessed by Autism Diagnostic Observation Schedule-2 were examined via supervised machine learning in an independent test cohort of 29 ASD individuals. Furthermore, we also compared the performance of multi-model features (i.e. structural-functional coupling) with single-model features (i.e. functional or structural models alone).ResultsIn the discovery cohort (ABIDE-II), individuals with ASD exhibited widespread reductions in structural-functional coupling in WM regions compared to TD individuals, particularly in commissural tracts (e.g. corpus callosum), association tracts (sagittal stratum), and projection tracts (e.g. internal capsule). Notably, supervised machine learning analysis in the independent test cohort revealed a significant correlation between these alterations in structural-functional coupling and ASD severity scores. Furthermore, compared to single-model features, the integration of multi-model features (i.e., structural-functional coupling) performed best in predicting ASD severity *** work provides novel evidence for atypical structur

关键词： Autism spectrum disorder structure-function coupling White matter tracts Diffusion tensor functional connectivity tensor

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structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study

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CLINICAL NEUROPHYSIOLOGY 2023年第1期153卷 1-10页

作者： Rigoni, I. Queralt, J. Rue Glomb, K. Preti, M. G. Roehri, N. Tourbier, S. Spinelli, L. Seeck, M. Van De Ville, D. Hagmann, P. Vulliemoz, S. Univ Geneva Univ Hosp EEG & Epilepsy Unit Geneva Switzerland Univ Geneva Fac Med Geneva Geneva Switzerland Univ Lausanne Lausanne Univ Hosp Dept Radiol CHUVUNIL Lausanne Switzerland Univ Lausanne UNIL CHUV Lausanne Switzerland Berlin Inst Hlth Charite Brain Simulat Sect D-10098 Berlin Germany Ecole Polytech Fed Lausanne Neuro X Inst Sch Engn Geneva Switzerland Univ Geneva Fac Med Dept Radiol & Med Informat Geneva Switzerland CIBM Ctr Biomed Imaging Lausanne Switzerland

Objective: structure-function coupling remains largely unknown in brain disorders. We studied this coupling during interictal epileptic discharges (IEDs), using graph signal processing in temporal lobe epilepsy (TLE). Methods: We decomposed IEDs of 17 patients on spatial maps, i.e. network harmonics, extracted from a structural connectome. Harmonics were split in smooth maps (long-range interactions reflecting integration) and coarse maps (short-range interactions reflecting segregation) and were used to reconstruct the part of the signal coupled (Xc) and decoupled (Xd) from the structure, respectively. We analysed how Xc and Xd embed the IED energy over time, at global and regional level. Results: For Xc, the energy was smaller than for Xd before the IED onset (p <.001), but became larger around the first IED peak (p <.05, cluster 2, C2). Locally, the ipsilateral mesial regions were significantly coupled to the structure over the whole epoch. The ipsilateral hippocampus increased its coupling during C2 (p <.01). Conclusions: At whole-brain level, segregation gives way to integrative processes during the IED. Locally, brain regions commonly involved in the TLE epileptogenic network increase their reliance on long-range couplings during IED (C2). Significance: In TLE, integration mechanisms prevail during the IED and are localized in the ipsilateral mesial temporal regions. (c) 2023 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： Temporal lobe epilepsy EEG Graph signal processing structure-function coupling

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structure-function coupling in Human Brain Networks

Structure-Function Coupling in Human Brain Networks

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作者： Fotiadis, Panagiotis University of Pennsylvania

学位级别：Ph.D., Doctor of Philosophy

The human brain is a complex network; an intricately woven tapestry of neuronal and non-neuronal cells in constant communication with each other. Precisely how the anatomical wiring of the human brain gives rise to a repertoire of complex functions remains incompletely understood. To elucidate this intricate mapping, we employ tools from network neuroscience and control theory: the former allows us to quantify the structural and functional connectivity patterns across different brain regions, while the latter tells us how to drive the brain from an initial pattern of functional activation to a target pattern, using external input. First, to understand how flexible cognition emerges from the underlying anatomical connectivity of the brain, we analyze neuroimaging data acquired from humans and macaque monkeys and show that flexible cognition depends on the distribution of the underlying anatomical projections and the energetic costs required to switch between different patterns of functional activation. Secondly, to address how the relationship between structure and function varies across different brain regions and among individuals, we introduce the concept of structure-function coupling, a metric that quantifies how strongly a brain region’s functional expression patterns reflect the underlying structural connectivity. We review studies assessing the heterogeneous expression of structure-function coupling across brain regions, individuals, cognitive tasks, and over time, and its role in fostering flexible cognition. From a clinical perspective, we further collate studies showcasing how structure-function coupling becomes aberrant in the presence of neurological and psychiatric disorders. To investigate why structure-function coupling changes across the aforementioned dimensions, we draw insight from the fields of neurobiology and computational neuroscience. We then empirically demonstrate how different neurobiological properties operating at different timescales sy

关键词： Consciousness Control theory Hemodynamics Network neuroscience Neuroimaging structure-function coupling

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Amyloid pathology related to aberrant structure-function coupling of brain networks in Alzheimer's disease: insights from [¹⁸F]-florbetapir PET imaging

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EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2025年 1-12页

作者： Chen, Hao-Jie Zhang, Mingkai Wei, Min Yu, Xianfeng Wang, Yichen Yang, Jie Li, Ruixian Zhao, Weina Wang, Xuanqian Zhang, Shuyu Wang, Kexin Bai, Tianyu Huo, Yanxi Huang, Weijie Dai, Zhengjia Ma, Guolin Han, Ying Chen, Guanqun Shu, Ni Beijing Normal Univ State Key Lab Cognit Neurosci & Learning Beijing 100875 Peoples R China Beijing Normal Univ IDG McGovern Inst Brain Res Beijing 100875 Peoples R China Beijing Normal Univ BABRI Ctr Beijing 100875 Peoples R China Beijing Normal Univ Beijing Key Lab Brain Imaging & Connect Beijing 100875 Peoples R China Capital Med Univ Dept Neurol Xuanwu Hosp Beijing 100053 Peoples R China Ctr Mudanjiang North Med Resource Dev & Applicat C Mudanjiang 157000 Heilongjiang Peoples R China Mudanjiang Med Coll Hongqi Hosp Dept Neurol Mudanjiang 157000 Heilongjiang Peoples R China SunYat Sen Univ Dept Psychol Guangzhou Peoples R China China Japan Friendship Hosp Dept Radiol Beijing Peoples R China Chinese Acad Med Sci & Peking Union Med Coll China Japan Friendship Hosp Inst Clin Med Sci Beijing Peoples R China Hainan Univ Sch Biomed Engn Haikou 570228 Peoples R China Beijing Inst Brain Disorders Ctr Alzheimers Dis Beijing 100053 Peoples R China Natl Clin Res Ctr Geriatr Dis Beijing 100053 Peoples R China Cent Hosp Karamay Karamay 834000 Xinjiang Peoples R China Capital Med Univ Beijing Chao Yang Hosp Dept Neurol 8 Gongtinan Rd Beijing 100020 Peoples R China

Purpose Brain structure-function coupling (SFC), which reflects the degree to which anatomical structure supports neural function, is an emerging imaging marker in neurodegenerative diseases. However, its pathological underpinnings in Alzheimer's disease (AD) remain poorly understood. This study aimed to examine the association among amyloid pathology, SFC disruption and cognitive decline. Methods We included 173 participants from the SILCODE cohort, comprising cognitively unimpaired (CU) and cognitively impaired (CI) individuals. Amyloid pathology was quantified using [F-18]-florbetapir PET standardized uptake value ratios (SUVR). Structural connectivity (SC) was derived from diffusion-weighted MRI with probabilistic tractography, while functional connectivity (FC) was calculated from resting-state functional MRI. SFC was defined as the coefficient of determination from linear models predicting FC based on SC at regional level. Linear regression and mediation analyses were conducted to assess relationships between amyloid pathology, SFC, and multiple cognitive performances. Results Compared to CU individuals, CI participants exhibited increased regional SFC primarily within the default mode network regions (p < 0.05). In CI participants, amyloid pathology correlated with SFC across occipital lobe, precuneus and temporoparietal regions, which was specific by APOE epsilon 4 status (p < 0.05). Mediation analyses revealed that SFC partially mediated the relationship between amyloid pathology and cognitive impairment (ab(MoCA-B) = -0.14, 95% CI [-0.27, -0.02]). Similar findings were replicated with plasma markers. Conclusion Amyloid pathology may underlie SFC disruptions, contributing to cognitive decline in AD. These findings suggest that SFC may serve as a potential biomarker for amyloid-related neurodegeneration and cognitive impairment.

关键词： [(18)F]-florbetapir Amyloid Plasma biomarkers structure-function coupling Alzheimer's disease SILCODE

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Neural Correlates and Adaptive Mechanisms in Vascular Cognitive Impairment: Exploration of a structure-function coupling Network

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CNS NEUROSCIENCE & THERAPEUTICS 2025年第3期31卷 e70205页

作者： Jin, Jing Ma, Jie Wu, Jia-Jia Lu, Juan-Juan Lu, Hao-Yu Zheng, Mou-Xiong Hua, Xu-Yun Xu, Jian-Guang Shanghai Univ Tradit Chinese Med Sch Rehabil Sci Shanghai Peoples R China Shanghai Univ Tradit Chinese Med Yueyang Hosp Integrated Tradit Chinese & Western M Dept Rehabil Med Shanghai Peoples R China Shanghai Univ Tradit Chinese Med Shuguang Hosp Dept Traumatol & Orthoped Shanghai Peoples R China Minist Educ Engn Res Ctr Tradit Chinese Med Intelligent Rehabi Shanghai Peoples R China

Background: Cerebral small vessel disease exacerbates cognitive decline, yet the structural-functional coupling mechanisms in vascular cognitive impairment (VCI) remain unclear. Methods: This study included 121 participants, with 68 individuals with VCI and 53 healthy controls. Participants underwent neuropsychological assessments and multimodal imaging. We compared white matter integrity, structural network topology, and functional network topology between groups, exploring the relationship between structure-function coupling and cognitive function. Family-wise error (FWE) correction was applied to account for multiple comparisons. Results: VCI participants showed reduced fractional anisotropy and increased mean and radial diffusivity in white matter. Structural network analysis revealed lower global and local efficiency, reduced small-world properties, and increased characteristic path length. Nodal properties, particularly in key regions of the default mode and visual networks, were significantly altered in VCI participants. While no significant differences were observed in functional network topology, VCI participants exhibited enhanced structure-function coupling in critical nodes of the default mode and visual networks. This enhancement correlated with memory function and information processing speed in the temporal calcarine, insula, occipital, and lingual regions. Conclusions: The study identifies disrupted brain networks and enhanced compensatory mechanisms in VCI, offering insights into neuroplasticity in VCI and contributing to dementia prevention strategies.

关键词： function network structure network structure-function coupling vascular cognitive impairment white matter hyperintensity

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The overgrowth of structure-function coupling in premature brain during infancy

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DEVELOPMENTAL COGNITIVE NEUROSCIENCE 2025年 72卷 101535页

作者： Wang, Rong Fang, Tianyu Zhang, Yue Cheng, Yue Wang, Chunfang Chen, Yuanyuan Fan, Qiuyun Zhao, Xin Ming, Dong Tianjin Univ Fac Med Med Sch Tianjin Peoples R China Tianjin Univ State Key Lab Adv Med Mat & Devices Tianjin Peoples R China Haihe Lab Brain Comp Interact & Human Machine Inte Tianjin Peoples R China Tianjin Key Lab Brain Sci & Neuroengn Tianjin Peoples R China Tianjin First Cent Hosp Dept Radiol Tianjin 300192 Peoples R China Tianjin Rehabil Inst Tianjin 300121 Peoples R China

Although the rapid growth of brain structure and function during infancy has been well documented, relatively little is known about how these two developmental processes couple-an aspect that exhibits distinct patterns in adult brain. In this study, the multimodal MRI data from the dHCP database were used to investigate the coupling between brain structure and function in infants, with a particular focus on how prematurity influences this relationship. A similar pattern of the coupling distribution between preterm and full-term infants was identified with coupling index varying across unimodal cortices such as visual and sensorimotor regions and transmodal cortices including default mode network. Notably, a widespread overgrowth of structure-function coupling and a slow developmental trajectory towards full-term infants in preterm infants at term-equivalent age were found. Collectively, the study quantified the development of structure-function relationships in preterm infants, offering new insights into the information transmission processes and developmental patterns of the early-life brain.

关键词： Brain development structure-function coupling Infant functional MRI DTI

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Abnormal structure-function coupling in Major Depressive Disorder Patients With and Without Anhedonia

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DEPRESSION AND ANXIETY 2025年第1期2025卷 1925158页

作者： Mu, Qingli Wu, Congchong Chen, Yue Xu, Yuwei Zhang, Kejing Zhu, Ce Hu, Shaohua Huang, Manli Zhang, Peng Cui, Dong Lu, Shaojia Zhejiang Univ Affiliated Hosp 1 Zhejiang Engn Ctr Math Mental Hlth Sch MedDept PsychiatZhejiang Key Lab Precis Psyc Hangzhou Zhejiang Peoples R China Zhejiang Univ Fac Clin Med Sch Med Hangzhou Zhejiang Peoples R China Jinhua Municipal Cent Hosp Dept Psychiat Jinhua Zhejiang Peoples R China Zhejiang Xiaoshan Hosp Dept Psychiat Hangzhou Zhejiang Peoples R China Shandong First Med Univ & Shandong Acad Med Sci Sch Radiol Tai An Peoples R China

Background: As a core symptom of major depressive disorder (MDD), previous magnetic resonance studies have demonstrated that MDD with anhedonia may exhibit distinctive brain structural and functional alterations. Nevertheless, the impact of anhedonia on synchronized alterations in the structure and function of brain regions in MDD remains uncertain. Methods: A total of 92 individuals were enrolled in the study, including 29 MDD patients with anhedonia, 33 MDD patients without anhedonia, and 30 healthy controls (HCs). All subjects underwent structural and resting-state functional magnetic resonance imaging (MRI) scans. The structure-function coupling of cortical and subcortical regions was constructed by using the obtained structural and functional data to quantify the distributional similarity of gray matter volume (GMV) and amplitude of low-frequency fluctuations (ALFFs). Analysis of covariance (ANCOVA) was used to compare differences in structure-function coupling among the three groups. Partial correlation analyses were conducted to identify relationships between structure-function coupling and clinical features. Finally, receiver operating characteristic (ROC) curve and support vector machine (SVM) analysis were employed to verify the capacity to distinguish between MDD with anhedonia and MDD without anhedonia, MDD with anhedonia and HCs, and MDD without anhedonia and HCs. Results: The ANCOVA revealed significant differences in structure-function coupling among three groups in the bilateral precentral gyrus (PrG), right insular gyrus (INS), right cingulate gyrus (CG), right thalamus (Tha), left superior temporal gyrus (STG), and left middle temporal gyrus (MTG). Compared to HCs, both MDD groups showed reduced coupling in the right INS, bilateral PrG, while increased coupling in the right CG. Additionally, MDD with anhedonia showed reduced coupling in the right Tha, right PrG, and left MTG, while increased coupling in the left STG, compared to the other two group

关键词： anhedonia frontal lobe major depressive disorder ROC structure-function coupling temporal lobe thalamus

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Dynamic structure-function coupling across three major psychiatric disorders

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PSYCHOLOGICAL MEDICINE 2024年第8期54卷 1629-1640页

作者： Zhang, Zhe Wei, Wei Wang, Sujie Li, Mingli Li, Xiaojing Li, Xiaoyu Wang, Qiang Yu, Hua Zhang, Yamin Guo, Wanjun Ma, Xiaohong Zhao, Liansheng Deng, Wei Sham, Pak C. Sun, Yu Li, Tao Zhejiang Univ Dept Biomed Engn Hangzhou Peoples R China Zhejiang Univ Affiliated Mental Hlth Ctr Dept Neurobiol Key Lab Biomed EngnMinist Educ Hangzhou Peoples R China Zhejiang Univ Hangzhou Peoples Hosp 7 Hangzhou Peoples R China Hangzhou Normal Univ Sch Phys Hangzhou Peoples R China Hangzhou Normal Univ Inst Brain Sci Sch Basic Med Sci Hangzhou Peoples R China Zhejiang Univ Affiliated Mental Hlth Ctr Translat Psychiat Res Lab Sch Med Hangzhou Peoples R China Zhejiang Univ Hangzhou Peoples Hosp 7 Sch Med Hangzhou Peoples R China Zhejiang Univ MOE Frontier Sci Ctr Brain Sci & Brain Machine Int Liangzhu Lab Hangzhou Peoples R China Zhejiang Univ NHC & CAMS Key Lab Med Neurobiol Hangzhou Peoples R China Sichuan Univ West China Hosp Mental Hlth Ctr Chengdu Peoples R China Sichuan Univ West China Hosp Psychiat Lab Chengdu Peoples R China Univ Hong Kong Li Ka Shing Fac Med Dept Psychiat Hong Kong Peoples R China Univ Hong Kong Ctr Panor Sci Hong Kong Peoples R China Univ Hong Kong State Key Lab Brain & Cognit Sci Hong Kong Peoples R China Zhejiang Univ Sir Run Run Shaw Hosp Dept Neurol Sch Med Hangzhou Peoples R China

BackgroundConvergent evidence has suggested atypical relationships between brain structure and function in major psychiatric disorders, yet how the abnormal patterns coincide and/or differ across different disorders remains largely unknown. Here, we aim to investigate the common and/or unique dynamic structure-function coupling patterns across major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ).MethodsWe quantified the dynamic structure-function coupling in 452 patients with psychiatric disorders (MDD/BD/SZ = 166/168/118) and 205 unaffected controls at three distinct brain network levels, such as global, meso-, and local levels. We also correlated dynamic structure-function coupling with the topological features of functional networks to examine how the structure-function relationship facilitates brain information communication over *** dynamic structure-function coupling is preserved for the three disorders at the global network level. Similar abnormalities in the rich-club organization are found in two distinct functional configuration states at the meso-level and are associated with the disease severity of MDD, BD, and SZ. At the local level, shared and unique alterations are observed in the brain regions involving the visual, cognitive control, and default mode networks. In addition, the relationships between structure-function coupling and the topological features of functional networks are altered in a manner indicative of state *** findings suggest both transdiagnostic and illness-specific alterations in the dynamic structure-function relationship of large-scale brain networks across MDD, BD, and SZ, providing new insights and potential biomarkers into the neurodevelopmental basis underlying the behavioral and cognitive deficits observed in these disorders.

关键词： brain networks bipolar disorder cognitive deficits dynamic states illness-specific major depressive disorder neurodevelopment psychiatric disorders rich-club organization schizophrenia structure-function coupling transdiagnostic

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Discrepant changes in structure-function coupling in dancers and musicians

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CEREBRAL CORTEX 2024年第3期34卷 bhae068-bhae068页

作者： Gao, Kexin He, Hui Lu, Bao Xie, Qiushui Lu, Jing Yao, Dezhong Luo, Cheng Li, Gujing Univ Elect Sci & Technol China Chengdu Brain Sci Inst Ctr Informat Med MOE Key Lab NeuroinformatClin HospSch Life Sci & Xiyuan Ave Chengdu 611731 Sichuan Peoples R China Beijing Dance Acad Wanshousi Rd Beijing 100081 Peoples R China

Dance and music are well known to improve sensorimotor skills and cognitive functions. To reveal the underlying mechanism, previous studies focus on the brain plastic structural and functional effects of dance and music training. However, the discrepancy training effects on brain structure-function relationship are still blurred. Thus, proficient dancers, musicians, and controls were recruited in this study. The graph signal processing framework was employed to quantify the region-level and network-level relationship between brain function and structure. The results showed the increased coupling strength of the right ventromedial putamen in the dance and music groups. Distinctly, enhanced coupling strength of the ventral attention network, increased coupling strength of the right inferior frontal gyrus opercular area, and increased function connectivity of coupling function signal between the right and left middle frontal gyrus were only found in the dance group. Besides, the dance group indicated enhanced coupling function connectivity between the left inferior parietal lobule caudal area and the left superior parietal lobule intraparietal area compared with the music groups. The results might illustrate dance and music training's discrepant effect on the structure-function relationship of the subcortical and cortical attention networks. Furthermore, dance training seemed to have a greater impact on these networks.

关键词： structure-function coupling dance training music training attention network

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