脑白质个体化功能网络在儿童青少年注意缺陷多动障碍中的应用进展

杨皓涵; 侯俊林

doi:10.7499/j.issn.1008-8830.2604025

PDF(535 KB)

HTML

中国当代儿科杂志 ›› 2026, Vol. 28 ›› Issue (9) : 1157-1162. DOI: 10.7499/j.issn.1008-8830.2604025

综述

脑白质个体化功能网络在儿童青少年注意缺陷多动障碍中的应用进展

杨皓涵 (综述) ,
侯俊林 (审校)

作者信息 +

Advances in the application of individualized white-matter functional networks in children and adolescents with attention-deficit/hyperactivity disorder

Author information +

文章历史 +

摘要

脑白质个体化功能网络为解析儿童青少年注意缺陷多动障碍的个体差异与神经机制提供了新范式。该文综述脑白质个体化功能网络构建方法（聚类分析、独立成分分析等）及研究进展。注意缺陷多动障碍的群体水平研究发现，患儿默认模式网络及感觉运动网络相关的脑白质功能连接增强，注意网络相关的脑白质功能连接减弱，且这些网络连接异常与核心症状及执行功能损害相关。但群体水平分析会掩盖个体间的网络异质性，忽视灰质-白质功能耦合，阻碍临床转化。脑白质个体化功能网络有望成为儿童青少年注意缺陷多动障碍早期筛查与精准干预的潜在神经影像学标志物，但仍面临方法学标准不一、儿童数据获取困难等挑战。

Abstract

Individualized white-matter functional networks provide a new paradigm for parsing individual differences and neural mechanisms in attention-deficit/hyperactivity disorder (ADHD) among children and adolescents. This review summarizes construction approaches for such networks, including clustering analysis and independent component analysis, and synthesizes current progress. Group-level studies in children with ADHD have shown increased white-matter functional connectivity in the default mode and sensorimotor networks, but decreased white-matter functional connectivity in attention-related networks; these connectivity abnormalities are associated with core symptoms and impairments in executive function. However, group analyses can obscure inter-individual network heterogeneity and overlook gray-white matter functional coupling, limiting clinical translation. Individualized white-matter functional networks hold promise as potential neuroimaging markers for early screening and precision intervention in ADHD, yet challenges persist, including methodological inconsistency and the difficulty of acquiring pediatric data.

导出引用

杨皓涵, 侯俊林. 脑白质个体化功能网络在儿童青少年注意缺陷多动障碍中的应用进展[J]. 中国当代儿科杂志. 2026, 28(9): 1157-1162 https://doi.org/10.7499/j.issn.1008-8830.2604025

Hao-Han YANG, Jun-Lin HOU. Advances in the application of individualized white-matter functional networks in children and adolescents with attention-deficit/hyperactivity disorder[J]. Chinese Journal of Contemporary Pediatrics. 2026, 28(9): 1157-1162 https://doi.org/10.7499/j.issn.1008-8830.2604025

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	Thiebaut de Schotten M, Forkel SJ. The emergent properties of the connected brain[J]. Science, 2022, 378(6619): 505-510. DOI: 10.1126/science.abq2591 . https://www.ncbi.nlm.nih.gov/pubmed/36378968 本文引用 [1]

[2]	Heilbronner SR, Reid RC, Casta TK, et al. Reconstructing the human brain's wiring diagram from axons up[J]. Trends Neurosci, 2026, 49(1): 8-19. PMCID: PMC12695016. DOI: 10.1016/j.tins.2025.11.001 . https://www.ncbi.nlm.nih.gov/pubmed/41330839

[3]	Helmstaedter M. Synaptic-resolution connectomics: towards large brains and connectomic screening[J]. Nat Rev Neurosci, 2026, 27(2): 101-120. DOI: 10.1038/s41583-025-00998-z . https://www.ncbi.nlm.nih.gov/pubmed/41354710

[4]	Li J, Chen H, Liao W. Mapping the white-matter functional connectome: a personal perspective[J]. Psychoradiology, 2025, 5: kkaf028. PMCID: PMC12596274. DOI: 10.1093/psyrad/kkaf028 . https://www.ncbi.nlm.nih.gov/pubmed/41216611 本文引用 [1]

[5]	Albaugh MD, Ottino-Gonzalez J, Sidwell A, et al. Association of cannabis use during adolescence with neurodevelopment[J]. JAMA Psychiatry, 2021, 78(9): 1-11. PMCID: PMC8209561. DOI: 10.1001/jamapsychiatry.2021.1258 . https://www.ncbi.nlm.nih.gov/pubmed/34132750 本文引用 [1]

[6]	Patel PK, Leathem LD, Currin DL, et al. Adolescent neurodevelopment and vulnerability to psychosis[J]. Biol Psychiatry, 2021, 89(2): 184-193. PMCID: PMC9397132. DOI: 10.1016/j.biopsych.2020.06.028 . https://www.ncbi.nlm.nih.gov/pubmed/32896384 本文引用 [1]

[7]	Daviddi S, Santangelo V. The neural correlates of response inhibition with and without conflict in ADHD: an activation likelihood estimation meta-analysis[J]. Eur J Neurosci, 2025, 62(5): e70244. PMCID: PMC12411125. DOI: 10.1111/ejn.70244 . https://www.ncbi.nlm.nih.gov/pubmed/40908264 本文引用 [1]

[8]

Liu

, Jiang

, Li

, et al. Prevalence and comorbidity of attention deficit hyperactivity disorder in Chinese school-attending students aged 6-16: a national survey[J]. Ann Gen Psychiatry, 2025, 24(1): 23. PMCID: PMC11995565. DOI: 10.1186/s12991-025-00558-w .

https://www.ncbi.nlm.nih.gov/pubmed/40223102

[9]	Jung D. Attention-deficit/hyperactivity disorder: a comprehensive review[J]. Ann Child Neurol, 2026, 34(1): 32-40. DOI: 10.26815/acn.2025.01074 . 本文引用 [1]

[10]	Kulkarni S, Bassett DS. Toward principles of brain network organization and function[J]. Annu Rev Biophys, 2025, 54(1): 353-378. DOI: 10.1146/annurev-biophys-030722-110624 . https://www.ncbi.nlm.nih.gov/pubmed/39952667 本文引用 [1]

[11]	Mercier M. Beyond grey[J]. Brain, 2026, 149(1): 6-8. DOI: 10.1093/brain/awaf461 . https://www.ncbi.nlm.nih.gov/pubmed/41384361 本文引用 [1]

[12]	Gore JC, Li M, Schilling KG, et al. The nature and interpretation of BOLD signals in white matter: a review[J]. Magn Reson Imaging, 2026, 127: 110596. PMCID: PMC12755079. DOI: 10.1016/j.mri.2025.110596 . https://www.ncbi.nlm.nih.gov/pubmed/41412354

[13]	Ding Z, Xu L, Gao Y, et al. Cortical modulation of resting state BOLD signals in white matter[J]. Sci Rep, 2025, 15(1): 30056. PMCID: PMC12358592. DOI: 10.1038/s41598-025-14352-x . https://www.ncbi.nlm.nih.gov/pubmed/40820089 本文引用 [1]

[14]	Huang Y, Wei PH, Xu L, et al. Intracranial electrophysiological and structural basis of BOLD functional connectivity in human brain white matter[J]. Nat Commun, 2023, 14(1): 3414. PMCID: PMC10256794. DOI: 10.1038/s41467-023-39067-3 . https://www.ncbi.nlm.nih.gov/pubmed/37296147 本文引用 [1]

[15]	Revell AY, Jaskir M, Lucas A, et al. White matter signals reflect information transmission between brain regions during seizures[J]. Brain, 2026, 149(1): 77-89. PMCID: PMC12782170. DOI: 10.1093/brain/awaf444 . https://www.ncbi.nlm.nih.gov/pubmed/41340548 本文引用 [1]

[16]	Ding Z, Huang Y, Bailey SK, et al. Detection of synchronous brain activity in white matter tracts at rest and under functional loading[J]. Proc Natl Acad Sci U S A, 2018, 115(3): 595-600. PMCID: PMC5776967. DOI: 10.1073/pnas.1711567115 . https://www.ncbi.nlm.nih.gov/pubmed/29282320 本文引用 [2]

[17]	Peer M, Nitzan M, Bick AS, et al. Evidence for functional networks within the human brain's white matter[J]. J Neurosci, 2017, 37(27): 6394-6407. PMCID: PMC6596606. DOI: 10.1523/JNEUROSCI.3872-16.2017 . https://www.ncbi.nlm.nih.gov/pubmed/28546311 本文引用 [1]

[18]	Jiang Y, Luo C, Li X, et al. White-matter functional networks changes in patients with schizophrenia[J]. Neuroimage, 2019, 190: 172-181. DOI: 10.1016/j.neuroimage.2018.04.018 . https://www.ncbi.nlm.nih.gov/pubmed/29660513 本文引用 [1]

[19]	Suo X, Lei D, Li W, et al. Large-scale white matter network reorganization in posttraumatic stress disorder[J]. Hum Brain Mapp, 2019, 40(16): 4801-4812. PMCID: PMC6865776. DOI: 10.1002/hbm.24738 . https://www.ncbi.nlm.nih.gov/pubmed/31365184 本文引用 [1]

[20]	Nozais V, Forkel SJ, Petit L, et al. Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain[J]. Commun Biol, 2023, 6(1): 726. PMCID: PMC10349117. DOI: 10.1038/s42003-023-05107-3 . https://www.ncbi.nlm.nih.gov/pubmed/37452124 本文引用 [2]

[21]

Chiang

, Tseng

, Wey

, et al. Shared intrinsic functional connectivity alterations as a familial risk marker for ADHD: a resting-state functional magnetic resonance imaging study with sibling design[J]. Psychol Med, 2022, 52(9): 1736-1745. DOI: 10.1017/S0033291720003529 .

https://www.ncbi.nlm.nih.gov/pubmed/33046145

本文引用 [1]

[22]	Chen C, Lidstone D, Crocetti D, et al. Increased interhemispheric somatomotor functional connectivity and mirror overflow in ADHD[J]. Neuroimage Clin, 2021, 31: 102759. PMCID: PMC8319349. DOI: 10.1016/j.nicl.2021.102759 . https://www.ncbi.nlm.nih.gov/pubmed/34280835

[23]

Michael

, Mitchell

, Cascone

, et al. Reconfiguration of functional brain network organization and dynamics with changing cognitive demands in children with attention-deficit/hyperactivity disorder[J]. Biol Psychiatry Cogn Neurosci Neuroimaging, 2025, 10(8): 846-855. PMCID: PMC12084425. DOI: 10.1016/j.bpsc.2024.11.006 .

https://www.ncbi.nlm.nih.gov/pubmed/39561892

本文引用 [1]

[24]

Parlatini

, Itahashi

, Lee

, et al. White matter alterations in attention-deficit/hyperactivity disorder (ADHD): a systematic review of 129 diffusion imaging studies with meta-analysis[J]. Mol Psychiatry, 2023, 28(10): 4098-4123. PMCID: PMC10827669. DOI: 10.1038/s41380-023-02173-1 .

https://www.ncbi.nlm.nih.gov/pubmed/37479785

本文引用 [1]

[25]	史亚楠, 范松丽, 王立宁, 等. 基于3.0 MRI的注意缺陷多动障碍儿童脑白质网络结构变化与执行功能的关系[J]. 卒中与神经疾病, 2024, 31(2): 137-142. DOI: 10.3969/j.issn.1007-0478.2024.02.005 . 本文引用 [1]

[26]	谭凡, 胡瑞, 吴勇, 等. 自动纤维量化技术分析儿童注意缺陷多动障碍脑白质微观结构改变与执行功能缺陷的关系[J]. 中国医学影像技术, 2025, 41(7): 1056-1061. DOI: 10.13929/j.issn.1003-3289.2025.07.006 . 本文引用 [1]

[27]	Bu X, Liang K, Lin Q, et al. Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder[J]. Brain Commun, 2020, 2(2): fcaa113. PMCID: PMC7660033. DOI: 10.1093/braincomms/fcaa113 . https://www.ncbi.nlm.nih.gov/pubmed/33215081 本文引用 [3]

[28]

, Gao

, Liang

, et al. Investigation of white matter functional networks underlying different behavioral profiles in attention-deficit/hyperactivity disorder[J]. Psychoradiology, 2022, 2(3): 69-77. PMCID: PMC10917226. DOI: 10.1093/psyrad/kkac012 .

https://www.ncbi.nlm.nih.gov/pubmed/38665605

本文引用 [2]

[29]	胡瑞. 注意力缺陷多动障碍儿童脑白质微观结构、类淋巴系统及神经血管耦合功能改变的MRI研究[D]. 大连: 大连医科大学, 2024. 本文引用 [5]

[30]

Koshiyama

, Fukunaga

, Okada

, et al. White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals[J]. Mol Psychiatry, 2020, 25(4): 883-895. PMCID: PMC7156346. DOI: 10.1038/s41380-019-0553-7 .

https://www.ncbi.nlm.nih.gov/pubmed/31780770

本文引用 [2]

[31]	Kong R, Li J, Orban C, et al. Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion[J]. Cereb Cortex, 2019, 29(6): 2533-2551. PMCID: PMC6519695. DOI: 10.1093/cercor/bhy123 . https://www.ncbi.nlm.nih.gov/pubmed/29878084 本文引用 [1]

[32]	Li M, Wang D, Ren J, et al. Performing group-level functional image analyses based on homologous functional regions mapped in individuals[J]. PLoS Biol, 2019, 17(3): e2007032. PMCID: PMC6448916. DOI: 10.1371/journal.pbio.2007032 . https://www.ncbi.nlm.nih.gov/pubmed/30908490

[33]	Li C, Yu S, Cui Y. Parcellation of individual brains: from group level atlas to precise mapping[J]. Neurosci Biobehav Rev, 2025, 174: 106172. DOI: 10.1016/j.neubiorev.2025.106172 . https://www.ncbi.nlm.nih.gov/pubmed/40268077

[34]	Li J, Zhang Y, Wu X, et al. Development of areal-level individualized homologous functional parcellations in youth[J]. Commun Biol, 2025, 8(1): 1083. PMCID: PMC12280106. DOI: 10.1038/s42003-025-08509-7 . https://www.ncbi.nlm.nih.gov/pubmed/40691311 本文引用 [1]

[35]	Shi R, Xiang S, Jia T, et al. Investigating grey matter volumetric trajectories through the lifespan at the individual level[J]. Nat Commun, 2024, 15(1): 5954. PMCID: PMC11251262. DOI: 10.1038/s41467-024-50305-0 . https://www.ncbi.nlm.nih.gov/pubmed/39009591 本文引用 [1]

[36]

Leikauf

, Griffiths

, Clarke

, et al. Attention-deficit/hyperactivity disorder subtypes defined by cognition have a distinct neural and clinical profile and differ in response to atomoxetine[J]. J Am Acad Child Adolesc Psychiatry, 2026, 65(5): 697-711. PMCID: PMC12571044. DOI: 10.1016/j.jaac.2025.07.007 .

https://www.ncbi.nlm.nih.gov/pubmed/40681145

本文引用 [1]

[37]	Gao C, Wu X, Ma L, et al. Iterative prior-guided parcellation (iPGP) for capturing inter-subject and inter-nuclei variability in thalamic mapping[J]. Neuroimage, 2025, 318: 121399. DOI: 10.1016/j.neuroimage.2025.121399 . https://www.ncbi.nlm.nih.gov/pubmed/40714230 本文引用 [1]

[38]

Wang

, Jiang

, Chen

, et al. Assessing fine-granularity structural and functional connectivity in children with attention deficit hyperactivity disorder[J]. Front Hum Neurosci, 2020, 14: 594830. PMCID: PMC7691597. DOI: 10.3389/fnhum.2020.594830 .

https://www.ncbi.nlm.nih.gov/pubmed/33281588

本文引用 [1]

[39]

Sighinolfi

, Leemans

, Manners

, et al. Individualized functionnectome for the statistical assessment of white matter circuits underlying task-fMRI activations in glioma patients[J]. Neuroimage Clin, 2026, 49: 103940. PMCID: PMC12809737. DOI: 10.1016/j.nicl.2025.103940 .

https://www.ncbi.nlm.nih.gov/pubmed/41494449

本文引用 [1]

[40]	Jiang H, Tang Y, Wang S. Neural dynamics-informed pre-trained framework for personalized brain functional network construction[J]. arXiv[Preprint]. (2026-03-08) [2026-04-03]. https://arxiv.org/abs/2603.07524 本文引用 [1]

[41]	Guo B, Wang J, Li Y, et al. DMVFC: deep learning based functionally consistent tractography fiber clustering using multimodal diffusion MRI and functional MRI[J]. IEEE J Sel Top Signal Process, 2025, 19(8): 1920-1929. DOI: 10.1109/JSTSP.2025.3632542 . 本文引用 [1]

[42]	Zhao T, Ouyang M, Shou XJ, et al. Hierarchical maturation of structural brain connectomes from birth to childhood[J]. Nat Commun, 2026, 17(1): 1945. PMCID: PMC12929715. DOI: 10.1038/s41467-026-68704-w . https://www.ncbi.nlm.nih.gov/pubmed/41571660 本文引用 [2]

[43]

, Zhong

, Wang

, et al. White matter microstructural subgroups of children with ADHD: similar clinical presentations and distinct neuropsychological profiles[J]. J Psychiatr Res, 2025, 183: 197-203. DOI: 10.1016/j.jpsychires.2025.02.028 .

https://www.ncbi.nlm.nih.gov/pubmed/39983627

本文引用 [1]

[44]	Zhuo Z, Chai L, Wang Y, et al. Charting brain morphology in international healthy and neurological populations[J]. Nat Neurosci, 2026, 29(2): 420-434. DOI: 10.1038/s41593-025-02144-5 . https://www.ncbi.nlm.nih.gov/pubmed/41461930 本文引用 [1]

[45]	Zhang L, Xue G. Diverse and large-scale brain data in child development research[J]. Nat Hum Behav, 2025, 9(6): 1070-1072. DOI: 10.1038/s41562-025-02186-6 . https://www.ncbi.nlm.nih.gov/pubmed/40210702 本文引用 [1]