Group-common and individual-specific effects of structure–function coupling in human brain networks with graph neural networks
The human cerebral cortex is organized into functionally segregated but synchronized regions bridged by the structural connectivity of white matter pathways. While structure–function coupling has been implicated in cognitive development and neuropsychiatric disorders, it remains unclear to what exte...
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| Veröffentlicht in: | Imaging neuroscience (Cambridge, Mass.) Jg. 2 |
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02.12.2024
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| Abstract | The human cerebral cortex is organized into functionally segregated but synchronized regions bridged by the structural connectivity of white matter pathways. While structure–function coupling has been implicated in cognitive development and neuropsychiatric disorders, it remains unclear to what extent the structure–function coupling reflects a group-common characteristic or varies across individuals, at both the global and regional brain levels. By leveraging two independent, high-quality datasets, we found that the graph neural network accurately predicted unseen individuals’ functional connectivity from structural connectivity, reflecting a strong structure–function coupling. This coupling was primarily driven by network topology and was substantially stronger than that of the correlation approaches. Moreover, we observed that structure–function coupling was dominated by group-common effects, with subtle yet significant individual-specific effects. The regional group and individual effects of coupling were hierarchically organized across the cortex along a sensorimotor-association axis, with lower group and higher individual effects in association cortices. These findings emphasize the importance of considering both group and individual effects in understanding cortical structure–function coupling, suggesting insights into interpreting individual differences of the coupling and informing connectivity-guided therapeutics. |
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| AbstractList | The human cerebral cortex is organized into functionally segregated but synchronized regions bridged by the structural connectivity of white matter pathways. While structure-function coupling has been implicated in cognitive development and neuropsychiatric disorders, it remains unclear to what extent the structure-function coupling reflects a group-common characteristic or varies across individuals, at both the global and regional brain levels. By leveraging two independent, high-quality datasets, we found that the graph neural network accurately predicted unseen individuals' functional connectivity from structural connectivity, reflecting a strong structure-function coupling. This coupling was primarily driven by network topology and was substantially stronger than that of the correlation approaches. Moreover, we observed that structure-function coupling was dominated by group-common effects, with subtle yet significant individual-specific effects. The regional group and individual effects of coupling were hierarchically organized across the cortex along a sensorimotor-association axis, with lower group and higher individual effects in association cortices. These findings emphasize the importance of considering both group and individual effects in understanding cortical structure-function coupling, suggesting insights into interpreting individual differences of the coupling and informing connectivity-guided therapeutics.The human cerebral cortex is organized into functionally segregated but synchronized regions bridged by the structural connectivity of white matter pathways. While structure-function coupling has been implicated in cognitive development and neuropsychiatric disorders, it remains unclear to what extent the structure-function coupling reflects a group-common characteristic or varies across individuals, at both the global and regional brain levels. By leveraging two independent, high-quality datasets, we found that the graph neural network accurately predicted unseen individuals' functional connectivity from structural connectivity, reflecting a strong structure-function coupling. This coupling was primarily driven by network topology and was substantially stronger than that of the correlation approaches. Moreover, we observed that structure-function coupling was dominated by group-common effects, with subtle yet significant individual-specific effects. The regional group and individual effects of coupling were hierarchically organized across the cortex along a sensorimotor-association axis, with lower group and higher individual effects in association cortices. These findings emphasize the importance of considering both group and individual effects in understanding cortical structure-function coupling, suggesting insights into interpreting individual differences of the coupling and informing connectivity-guided therapeutics. The human cerebral cortex is organized into functionally segregated but synchronized regions bridged by the structural connectivity of white matter pathways. While structure–function coupling has been implicated in cognitive development and neuropsychiatric disorders, it remains unclear to what extent the structure–function coupling reflects a group-common characteristic or varies across individuals, at both the global and regional brain levels. By leveraging two independent, high-quality datasets, we found that the graph neural network accurately predicted unseen individuals’ functional connectivity from structural connectivity, reflecting a strong structure–function coupling. This coupling was primarily driven by network topology and was substantially stronger than that of the correlation approaches. Moreover, we observed that structure–function coupling was dominated by group-common effects, with subtle yet significant individual-specific effects. The regional group and individual effects of coupling were hierarchically organized across the cortex along a sensorimotor-association axis, with lower group and higher individual effects in association cortices. These findings emphasize the importance of considering both group and individual effects in understanding cortical structure–function coupling, suggesting insights into interpreting individual differences of the coupling and informing connectivity-guided therapeutics. |
| Author | Hao, Jiachang Yang, Hang Chen, Runsen Okubo, Tatsuo S. He, Xiaosong Chen, Peiyu Zheng, Xin Li, Chao Xu, Xiaoyu Jia, Hai Cui, Zaixu |
| AuthorAffiliation | Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom Chinese Institute for Brain Research, Beijing, China State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China Department of Psychology, School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, China Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China Vanke School of Public Health, Tsinghua University, Beijing, China |
| AuthorAffiliation_xml | – name: Vanke School of Public Health, Tsinghua University, Beijing, China – name: Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China – name: Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom – name: Chinese Institute for Brain Research, Beijing, China – name: State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China – name: Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States – name: Department of Psychology, School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, China – name: Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom |
| Author_xml | – sequence: 1 givenname: Peiyu surname: Chen fullname: Chen, Peiyu organization: Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States – sequence: 2 givenname: Hang surname: Yang fullname: Yang, Hang organization: Chinese Institute for Brain Research, Beijing, China – sequence: 3 givenname: Xin surname: Zheng fullname: Zheng, Xin organization: Chinese Institute for Brain Research, Beijing, China – sequence: 4 givenname: Hai surname: Jia fullname: Jia, Hai organization: Chinese Institute for Brain Research, Beijing, China – sequence: 5 givenname: Jiachang surname: Hao fullname: Hao, Jiachang organization: Chinese Institute for Brain Research, Beijing, China – sequence: 6 givenname: Xiaoyu surname: Xu fullname: Xu, Xiaoyu organization: State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China – sequence: 7 givenname: Chao surname: Li fullname: Li, Chao organization: Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom – sequence: 8 givenname: Xiaosong surname: He fullname: He, Xiaosong organization: Department of Psychology, School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, China – sequence: 9 givenname: Runsen surname: Chen fullname: Chen, Runsen organization: Vanke School of Public Health, Tsinghua University, Beijing, China – sequence: 10 givenname: Tatsuo S. surname: Okubo fullname: Okubo, Tatsuo S. email: tatsuo.okubo@cibr.ac.cn organization: Chinese Institute for Brain Research, Beijing, China – sequence: 11 givenname: Zaixu surname: Cui fullname: Cui, Zaixu email: cuizaixu@cibr.ac.cn organization: Chinese Institute for Brain Research, Beijing, China |
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| Cites_doi | 10.1038/s41593-018-0195-0 10.1016/j.neuroimage.2014.07.061 10.1038/s41583-022-00601-9 10.1038/s41467-022-29770-y 10.1126/science.1065103 10.1016/j.neuroimage.2022.119299 10.1073/pnas.1903403116 10.1038/s41398-019-0467-9 10.1016/j.neuroimage.2022.119323 10.1109/TMI.2010.2046908 10.1006/nimg.2002.1132 10.1073/pnas.0811168106 10.1007/s00429-024-02796-2 10.1152/jn.00338.2011 10.1073/pnas.1608282113 10.1371/journal.pbio.0060159 10.1016/j.neuron.2021.06.016 10.1016/j.neuron.2019.01.017 10.1016/j.neuroimage.2012.01.021 10.1038/s42003-020-01622-9 10.1038/s41592-021-01185-5 10.1038/s42256-021-00376-1 10.1002/mrm.26054 10.1038/s41467-022-29886-1 10.1016/j.neuroimage.2020.117609 10.1093/cercor/1.1.1 10.1162/imag_a_00257 10.1146/annurev-psych-122414-033634 10.1016/j.neuroimage.2012.06.005 10.1111/j.1749-6632.2010.05888.x 10.1016/j.dcn.2023.101314 10.1016/j.neuroimage.2013.05.041 10.1038/s41467-021-25184-4 10.1016/j.neuron.2012.12.028 10.1038/s41386-020-0753-5 10.1038/s41593-022-01215-1 10.3389/fninf.2011.00004 10.1016/j.neuroimage.2013.04.127 10.1016/j.aiopen.2021.01.001 10.1038/s41467-023-36736-1 10.1016/j.tics.2020.01.008 10.1016/j.tics.2017.11.002 10.1073/pnas.1912034117 10.1038/nrn.2017.149 10.1016/j.neuroimage.2016.08.016 10.1073/pnas.2003383117 10.1016/j.neuroimage.2009.10.003 10.1523/JNEUROSCI.1091-13.2013 10.1016/j.neuroimage.2019.116137 10.1038/s41551-022-00951-w 10.1162/netn_a_00055 10.1016/j.neuron.2015.05.035 10.1038/s41593-020-00719-y 10.1073/pnas.1219562110 10.1073/pnas.1001229107 10.1016/j.neuroimage.2018.05.070 10.1038/s41562-017-0260-9 10.1126/sciadv.abn5803 10.1038/s41583-023-00718-5 10.1016/j.tics.2013.09.012 10.1016/j.neuroimage.2016.06.058 10.1038/s42254-019-0040-8 10.1038/s41398-023-02546-8 10.1016/j.neuroimage.2018.08.050 10.1038/s41380-022-01524-8 10.1016/j.neuroimage.2016.09.053 10.1016/j.neuroimage.2017.03.020 10.1146/annurev.ne.11.030188.001033 10.1093/cercor/bhw089 10.1016/j.neuroimage.2015.06.092 10.1093/cercor/bhx179 10.1016/j.neuron.2023.01.027 10.1177/1073858406293182 10.1038/s41551-019-0404-5 10.1038/nn.3862 10.1016/j.neuron.2018.03.035 10.1007/s00429-021-02403-8 10.1016/j.neuroimage.2004.07.051 10.3389/fnimg.2022.850266 |
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| Keywords | diffusion MRI functional MRI graph neural networks individual effects sensorimotor-association cortical axis structure–function coupling |
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| References | Alexander-Bloch (2025081119494100400_b1) 2018; 178 Kipf (2025081119494100400_b37) 2017 Smith (2025081119494100400_b60) 2004; 23 Van Essen (2025081119494100400_b74) 2013; 80 Lynn (2025081119494100400_b39) 2019; 1 Ciric (2025081119494100400_b10) 2017; 154 Gratton (2025081119494100400_b21) 2018; 98 Hill (2025081119494100400_b25) 2010; 107 Zhou (2025081119494100400_b84) 2020; 1 Marcus (2025081119494100400_b40) 2011 Sydnor (2025081119494100400_b68) 2022; 8 Misic (2025081119494100400_b46) 2015; 86 Suárez (2025081119494100400_b66) 2020; 24 Avena-Koenigsberger (2025081119494100400_b3) 2017; 19 Deco (2025081119494100400_b11) 2013; 33 Mehta (2025081119494100400_b44) 2024; 2 Jenkinson (2025081119494100400_b31) 2002; 17 Glasser (2025081119494100400_b19) 2013; 80 Margulies (2025081119494100400_b41) 2016; 113 Tournier (2025081119494100400_b70) 2019; 202 Neudorf (2025081119494100400_b49) 2022; 227 Raut (2025081119494100400_b50) 2020; 117 Zarkali (2025081119494100400_b83) 2021; 4 Medaglia (2025081119494100400_b43) 2018; 2 Smith (2025081119494100400_b59) 2015; 119 Sporns (2025081119494100400_b65) 2016; 67 Hong (2025081119494100400_b27) 2023; 64 Betzel (2025081119494100400_b7) 2019; 3 Wu (2025081119494100400_b78) 2022; 6 Cieslak (2025081119494100400_b9) 2021; 18 Gao (2025081119494100400_b17) 2023; 14 Huang (2025081119494100400_b28) 2023 Valk (2025081119494100400_b72) 2022; 13 Bassett (2025081119494100400_b4) 2006; 12 Seguin (2025081119494100400_b57) 2023; 24 Suárez (2025081119494100400_b67) 2021; 3 Kellner (2025081119494100400_b35) 2016; 76 Demirtas (2025081119494100400_b12) 2019; 101 Hermundstad (2025081119494100400_b24) 2013; 110 Andersson (2025081119494100400_b2) 2016; 141 Sporns (2025081119494100400_b64) 2011; 1224 Vasa (2025081119494100400_b75) 2022; 23 Hagmann (2025081119494100400_b23) 2008; 6 Faskowitz (2025081119494100400_b14) 2020; 23 Tustison (2025081119494100400_b71) 2010; 29 Zimmermann (2025081119494100400_b85) 2019; 3 Jiang (2025081119494100400_b33) 2020; 45 Maslov (2025081119494100400_b42) 2002; 296 Huntenburg (2025081119494100400_b29) 2018; 22 Mueller (2025081119494100400_b47) 2013; 77 Sarwar (2025081119494100400_b53) 2021; 226 Seguin (2025081119494100400_b55) 2023; 111 Misic (2025081119494100400_b45) 2016; 26 Yeo (2025081119494100400_b79) 2011; 106 Smith (2025081119494100400_b58) 2012; 62 Vazquez-Rodriguez (2025081119494100400_b76) 2019; 116 Benkarim (2025081119494100400_b6) 2022; 257 Jiang (2025081119494100400_b34) 2019; 9 You (2025081119494100400_b80) 2021 Ge (2025081119494100400_b18) 2023; 26 Zalesky (2025081119494100400_b81) 2024 Schaefer (2025081119494100400_b54) 2018; 28 Sydnor (2025081119494100400_b69) 2021; 109 Klooster (2025081119494100400_b38) 2022; 7 Soman (2025081119494100400_b62) 2023; 13 Fischl (2025081119494100400_b16) 2012; 62 Gu (2025081119494100400_b22) 2021; 12 Baum (2025081119494100400_b5) 2020; 117 Jeurissen (2025081119494100400_b32) 2014; 103 Hyde (2025081119494100400_b30) 2022; 27 Rubinov (2025081119494100400_b52) 2010; 52 Deslauriers-Gauthier (2025081119494100400_b13) 2022; 1 Zamani Esfahlani (2025081119494100400_b82) 2022; 13 Kingma (2025081119494100400_b36) 2017 Veraart (2025081119494100400_b77) 2016; 142 Goldman-Rakic (2025081119494100400_b20) 1988; 11 Roberts (2025081119494100400_b51) 2017; 145 Smolders (2025081119494100400_b61) 2024; 229 Murray (2025081119494100400_b48) 2014; 17 Honey (2025081119494100400_b26) 2009; 106 Seguin (2025081119494100400_b56) 2022; 257 Felleman (2025081119494100400_b15) 1991; 1 van den Heuvel (2025081119494100400_b73) 2013; 17 Somerville (2025081119494100400_b63) 2018; 183 Burt (2025081119494100400_b8) 2018; 21 38045396 - bioRxiv. 2024 Sep 18:2023.11.22.568257. doi: 10.1101/2023.11.22.568257. |
| References_xml | – volume: 21 start-page: 1251 issue: 9 year: 2018 ident: 2025081119494100400_b8 article-title: Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography publication-title: Nat Neurosci doi: 10.1038/s41593-018-0195-0 – year: 2017 ident: 2025081119494100400_b37 article-title: Semi-Supervised Classification with Graph Convolutional Networks publication-title: arXiv:1609.02907 – volume: 103 start-page: 411 year: 2014 ident: 2025081119494100400_b32 article-title: Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data publication-title: Neuroimage doi: 10.1016/j.neuroimage.2014.07.061 – volume: 23 start-page: 493 issue: 8 year: 2022 ident: 2025081119494100400_b75 article-title: Null models in network neuroscience publication-title: Nat Rev Neurosci doi: 10.1038/s41583-022-00601-9 – volume: 13 start-page: 2053 issue: 1 year: 2022 ident: 2025081119494100400_b82 article-title: Local structure-function relationships in human brain networks across the lifespan publication-title: Nat Commun doi: 10.1038/s41467-022-29770-y – volume: 296 start-page: 910 issue: 5569 year: 2002 ident: 2025081119494100400_b42 article-title: Specificity and stability in topology of protein networks publication-title: Science doi: 10.1126/science.1065103 – volume: 257 start-page: 119299 year: 2022 ident: 2025081119494100400_b6 article-title: A Riemannian approach to predicting brain function from the structural connectome publication-title: Neuroimage doi: 10.1016/j.neuroimage.2022.119299 – volume: 116 start-page: 21219 issue: 42 year: 2019 ident: 2025081119494100400_b76 article-title: Gradients of structure-function tethering across neocortex publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1903403116 – volume: 9 start-page: 136 issue: 1 year: 2019 ident: 2025081119494100400_b34 article-title: Connectome analysis of functional and structural hemispheric brain networks in major depressive disorder publication-title: Transl Psychiatry doi: 10.1038/s41398-019-0467-9 – volume: 257 start-page: 119323 year: 2022 ident: 2025081119494100400_b56 article-title: Network communication models narrow the gap between the modular organization of structural and functional brain networks publication-title: Neuroimage doi: 10.1016/j.neuroimage.2022.119323 – volume: 29 start-page: 1310 issue: 6 year: 2010 ident: 2025081119494100400_b71 article-title: N4ITK: Improved N3 Bias Correction publication-title: IEEE Trans Med Imaging doi: 10.1109/TMI.2010.2046908 – volume: 17 start-page: 825 issue: 2 year: 2002 ident: 2025081119494100400_b31 article-title: Improved optimization for the robust and accurate linear registration and motion correction of brain images publication-title: Neuroimage doi: 10.1006/nimg.2002.1132 – volume: 106 start-page: 2035 issue: 6 year: 2009 ident: 2025081119494100400_b26 article-title: Predicting human resting-state functional connectivity from structural connectivity publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.0811168106 – volume: 229 start-page: 1209 issue: 5 year: 2024 ident: 2025081119494100400_b61 article-title: Can structure predict function at individual level in the human connectome? publication-title: Brain Struct Funct doi: 10.1007/s00429-024-02796-2 – volume: 106 start-page: 1125 issue: 3 year: 2011 ident: 2025081119494100400_b79 article-title: The organization of the human cerebral cortex estimated by intrinsic functional connectivity publication-title: J Neurophysiol doi: 10.1152/jn.00338.2011 – start-page: 1 year: 2024 ident: 2025081119494100400_b81 article-title: Predicting an individual’s functional connectivity from their structural connectome: Evaluation of evidence, recommendations and future prospects publication-title: Netw Neurosci – volume: 113 start-page: 12574 issue: 44 year: 2016 ident: 2025081119494100400_b41 article-title: Situating the default-mode network along a principal gradient of macroscale cortical organization publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1608282113 – volume: 6 start-page: e159 issue: 7 year: 2008 ident: 2025081119494100400_b23 article-title: Mapping the structural core of human cerebral cortex publication-title: PLoS Biol doi: 10.1371/journal.pbio.0060159 – volume: 109 start-page: 2820 issue: 18 year: 2021 ident: 2025081119494100400_b69 article-title: Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology publication-title: Neuron doi: 10.1016/j.neuron.2021.06.016 – volume: 101 start-page: 1181.e3 issue: 6 year: 2019 ident: 2025081119494100400_b12 article-title: Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics publication-title: Neuron doi: 10.1016/j.neuron.2019.01.017 – volume: 62 start-page: 774 issue: 2 year: 2012 ident: 2025081119494100400_b16 article-title: FreeSurfer publication-title: Neuroimage doi: 10.1016/j.neuroimage.2012.01.021 – volume: 4 start-page: 86 issue: 1 year: 2021 ident: 2025081119494100400_b83 article-title: Organisational and neuromodulatory underpinnings of structural-functional connectivity decoupling in patients with Parkinson’s disease publication-title: Commun Biol doi: 10.1038/s42003-020-01622-9 – volume: 18 start-page: 775 issue: 7 year: 2021 ident: 2025081119494100400_b9 article-title: QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI data publication-title: Nature Methods doi: 10.1038/s41592-021-01185-5 – volume: 3 start-page: 771 issue: 9 year: 2021 ident: 2025081119494100400_b67 article-title: Learning function from structure in neuromorphic networks publication-title: Nat Mach Intell doi: 10.1038/s42256-021-00376-1 – volume: 76 start-page: 1574 issue: 5 year: 2016 ident: 2025081119494100400_b35 article-title: Gibbs-ringing artifact removal based on local subvoxel-shifts publication-title: Magn Reson Med doi: 10.1002/mrm.26054 – volume: 13 start-page: 2341 issue: 1 year: 2022 ident: 2025081119494100400_b72 article-title: Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex publication-title: Nat Commun doi: 10.1038/s41467-022-29886-1 – volume: 226 start-page: 117609 year: 2021 ident: 2025081119494100400_b53 article-title: Structure-function coupling in the human connectome: A machine learning approach publication-title: Neuroimage doi: 10.1016/j.neuroimage.2020.117609 – volume: 1 start-page: 1 issue: 1 year: 1991 ident: 2025081119494100400_b15 article-title: Distributed hierarchical processing in the primate cerebral cortex publication-title: Cereb Cortex doi: 10.1093/cercor/1.1.1 – volume: 2 start-page: 1 year: 2024 ident: 2025081119494100400_b44 article-title: XCP-D: A robust pipeline for the post-processing of fMRI data publication-title: Imaging Neurosci doi: 10.1162/imag_a_00257 – volume: 67 start-page: 613 year: 2016 ident: 2025081119494100400_b65 article-title: Modular brain networks publication-title: Annu Rev Psychol doi: 10.1146/annurev-psych-122414-033634 – volume: 62 start-page: 1924 issue: 3 year: 2012 ident: 2025081119494100400_b58 article-title: Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information publication-title: Neuroimage doi: 10.1016/j.neuroimage.2012.06.005 – volume: 1224 start-page: 109 issue: 1 year: 2011 ident: 2025081119494100400_b64 article-title: The human connectome: A complex network publication-title: Ann N Y Acad Sci doi: 10.1111/j.1749-6632.2010.05888.x – volume: 64 start-page: 101314 year: 2023 ident: 2025081119494100400_b27 article-title: Structural and functional connectome relationships in early childhood publication-title: Dev Cogn Neurosci doi: 10.1016/j.dcn.2023.101314 – volume: 80 start-page: 62 year: 2013 ident: 2025081119494100400_b74 article-title: The WU-Minn Human Connectome Project: An overview publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.05.041 – volume: 12 start-page: 4894 issue: 1 year: 2021 ident: 2025081119494100400_b22 article-title: Heritability and interindividual variability of regional structure-function coupling publication-title: Nat Commun doi: 10.1038/s41467-021-25184-4 – volume: 77 start-page: 586 issue: 3 year: 2013 ident: 2025081119494100400_b47 article-title: Individual variability in functional connectivity architecture of the human brain publication-title: Neuron doi: 10.1016/j.neuron.2012.12.028 – volume: 45 start-page: 1735 issue: 10 year: 2020 ident: 2025081119494100400_b33 article-title: Structural-functional decoupling predicts suicide attempts in bipolar disorder patients with a current major depressive episode publication-title: Neuropsychopharmacology doi: 10.1038/s41386-020-0753-5 – volume: 26 start-page: 163 issue: 1 year: 2023 ident: 2025081119494100400_b18 article-title: Increasing diversity in connectomics with the Chinese Human Connectome Project publication-title: Nat Neurosci doi: 10.1038/s41593-022-01215-1 – year: 2011 ident: 2025081119494100400_b40 article-title: Informatics and data mining tools and strategies for the human connectome project publication-title: Front Neuroinform doi: 10.3389/fninf.2011.00004 – volume: 80 start-page: 105 year: 2013 ident: 2025081119494100400_b19 article-title: The minimal preprocessing pipelines for the human connectome project publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.04.127 – volume: 1 start-page: 57 year: 2020 ident: 2025081119494100400_b84 article-title: Graph neural networks: A review of methods and applications publication-title: AI open doi: 10.1016/j.aiopen.2021.01.001 – volume: 14 start-page: 1093 issue: 1 year: 2023 ident: 2025081119494100400_b17 article-title: Hierarchical graph learning for protein-protein interaction publication-title: Nat Commun doi: 10.1038/s41467-023-36736-1 – volume: 24 start-page: 302 issue: 4 year: 2020 ident: 2025081119494100400_b66 article-title: Linking structure and function in macroscale brain networks publication-title: Trends Cogn Sci doi: 10.1016/j.tics.2020.01.008 – volume: 22 start-page: 21 issue: 1 year: 2018 ident: 2025081119494100400_b29 article-title: Large-scale gradients in human cortical organization publication-title: Trends Cogn Sci doi: 10.1016/j.tics.2017.11.002 – volume: 117 start-page: 771 issue: 1 year: 2020 ident: 2025081119494100400_b5 article-title: Development of structure-function coupling in human brain networks during youth publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1912034117 – volume: 19 start-page: 17 issue: 1 year: 2017 ident: 2025081119494100400_b3 article-title: Communication dynamics in complex brain networks publication-title: Nat Rev Neurosci doi: 10.1038/nrn.2017.149 – volume: 142 start-page: 394 year: 2016 ident: 2025081119494100400_b77 article-title: Denoising of diffusion MRI using random matrix theory publication-title: Neuroimage doi: 10.1016/j.neuroimage.2016.08.016 – volume: 117 start-page: 20890 issue: 34 year: 2020 ident: 2025081119494100400_b50 article-title: Hierarchical dynamics as a macroscopic organizing principle of the human brain publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.2003383117 – year: 2017 ident: 2025081119494100400_b36 article-title: Adam: A Method for Stochastic Optimization publication-title: arXiv:1412.6980 – volume: 52 start-page: 1059 issue: 3 year: 2010 ident: 2025081119494100400_b52 article-title: Complex network measures of brain connectivity: Uses and interpretations publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.10.003 – volume: 33 start-page: 11239 issue: 27 year: 2013 ident: 2025081119494100400_b11 article-title: Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations publication-title: J Neurosci doi: 10.1523/JNEUROSCI.1091-13.2013 – volume: 202 start-page: 116137 year: 2019 ident: 2025081119494100400_b70 article-title: MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation publication-title: Neuroimage doi: 10.1016/j.neuroimage.2019.116137 – volume: 6 start-page: 1435 issue: 12 year: 2022 ident: 2025081119494100400_b78 article-title: Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens publication-title: Nat Biomed Eng doi: 10.1038/s41551-022-00951-w – volume: 3 start-page: 90 issue: 1 year: 2019 ident: 2025081119494100400_b85 article-title: Subject specificity of the correlation between large-scale structural and functional connectivity publication-title: Netw Neurosci doi: 10.1162/netn_a_00055 – volume: 86 start-page: 1518 issue: 6 year: 2015 ident: 2025081119494100400_b46 article-title: Cooperative and competitive spreading dynamics on the human connectome publication-title: Neuron doi: 10.1016/j.neuron.2015.05.035 – volume: 7 start-page: 536 issue: 6 year: 2022 ident: 2025081119494100400_b38 article-title: Personalizing repetitive transcranial magnetic stimulation parameters for depression treatment using multimodal neuroimaging publication-title: Biol Psychiatry Cogn Neurosci Neuroimaging – volume: 23 start-page: 1644 issue: 12 year: 2020 ident: 2025081119494100400_b14 article-title: Edge-centric functional network representations of human cerebral cortex reveal overlapping system-level architecture publication-title: Nat Neurosci doi: 10.1038/s41593-020-00719-y – volume: 110 start-page: 6169 issue: 15 year: 2013 ident: 2025081119494100400_b24 article-title: Structural foundations of resting-state and task-based functional connectivity in the human brain publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1219562110 – volume: 107 start-page: 13135 issue: 29 year: 2010 ident: 2025081119494100400_b25 article-title: Similar patterns of cortical expansion during human development and evolution publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1001229107 – year: 2023 ident: 2025081119494100400_b28 article-title: Individual variability in the structural connectivity architecture of the human brain publication-title: bioRxiv – volume: 178 start-page: 540 year: 2018 ident: 2025081119494100400_b1 article-title: On testing for spatial correspondence between maps of human brain structure and function publication-title: Neuroimage doi: 10.1016/j.neuroimage.2018.05.070 – volume: 2 start-page: 156 issue: 2 year: 2018 ident: 2025081119494100400_b43 article-title: Functional alignment with anatomical networks is associated with cognitive flexibility publication-title: Nat Hum Behav doi: 10.1038/s41562-017-0260-9 – volume: 8 start-page: eabn5803 issue: 25 year: 2022 ident: 2025081119494100400_b68 article-title: Cortical-subcortical structural connections support transcranial magnetic stimulation engagement of the amygdala publication-title: Sci Adv doi: 10.1126/sciadv.abn5803 – volume: 24 start-page: 557 issue: 9 year: 2023 ident: 2025081119494100400_b57 article-title: Brain network communication: Concepts, models and applications publication-title: Nat Rev Neurosci doi: 10.1038/s41583-023-00718-5 – volume: 17 start-page: 683 issue: 12 year: 2013 ident: 2025081119494100400_b73 article-title: Network hubs in the human brain publication-title: Trends Cogn Sci doi: 10.1016/j.tics.2013.09.012 – volume: 141 start-page: 556 year: 2016 ident: 2025081119494100400_b2 article-title: Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images publication-title: Neuroimage doi: 10.1016/j.neuroimage.2016.06.058 – volume: 1 start-page: 318 issue: 5 year: 2019 ident: 2025081119494100400_b39 article-title: The physics of brain network structure, function and control publication-title: Nat Rev Phys doi: 10.1038/s42254-019-0040-8 – volume: 13 start-page: 252 issue: 1 year: 2023 ident: 2025081119494100400_b62 article-title: Cortical structural and functional coupling during development and implications for attention deficit hyperactivity disorder publication-title: Transl Psychiatry doi: 10.1038/s41398-023-02546-8 – volume: 183 start-page: 456 year: 2018 ident: 2025081119494100400_b63 article-title: The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5–21 year olds publication-title: Neuroimage doi: 10.1016/j.neuroimage.2018.08.050 – volume: 27 start-page: 2709 issue: 6 year: 2022 ident: 2025081119494100400_b30 article-title: Efficacy of neurostimulation across mental disorders: Systematic review and meta-analysis of 208 randomized controlled trials publication-title: Mol Psychiatry doi: 10.1038/s41380-022-01524-8 – volume: 145 start-page: 118 issue: Pt A year: 2017 ident: 2025081119494100400_b51 article-title: Consistency-based thresholding of the human connectome publication-title: Neuroimage doi: 10.1016/j.neuroimage.2016.09.053 – volume: 154 start-page: 174 year: 2017 ident: 2025081119494100400_b10 article-title: Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity publication-title: Neuroimage doi: 10.1016/j.neuroimage.2017.03.020 – volume: 11 start-page: 137 year: 1988 ident: 2025081119494100400_b20 article-title: Topography of cognition: Parallel distributed networks in primate association cortex publication-title: Annu Rev Neurosci doi: 10.1146/annurev.ne.11.030188.001033 – volume: 26 start-page: 3285 issue: 7 year: 2016 ident: 2025081119494100400_b45 article-title: Network-level structure-function relationships in human neocortex publication-title: Cereb Cortex doi: 10.1093/cercor/bhw089 – volume: 119 start-page: 338 year: 2015 ident: 2025081119494100400_b59 article-title: SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography publication-title: Neuroimage doi: 10.1016/j.neuroimage.2015.06.092 – volume: 28 start-page: 3095 issue: 9 year: 2018 ident: 2025081119494100400_b54 article-title: Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI publication-title: Cerebral Cortex doi: 10.1093/cercor/bhx179 – year: 2021 ident: 2025081119494100400_b80 article-title: Design Space for Graph Neural Networks publication-title: arXiv:2011.08843 – volume: 111 start-page: 1391 issue: 9 year: 2023 ident: 2025081119494100400_b55 article-title: Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation publication-title: Neuron doi: 10.1016/j.neuron.2023.01.027 – volume: 12 start-page: 512 issue: 6 year: 2006 ident: 2025081119494100400_b4 article-title: Small-world brain networks publication-title: Neuroscientist doi: 10.1177/1073858406293182 – volume: 3 start-page: 902 issue: 11 year: 2019 ident: 2025081119494100400_b7 article-title: Structural, geometric and genetic factors predict interregional brain connectivity patterns probed by electrocorticography publication-title: Nat Biomed Eng doi: 10.1038/s41551-019-0404-5 – volume: 17 start-page: 1661 issue: 12 year: 2014 ident: 2025081119494100400_b48 article-title: A hierarchy of intrinsic timescales across primate cortex publication-title: Nat Neurosci doi: 10.1038/nn.3862 – volume: 98 start-page: 439.e5 issue: 2 year: 2018 ident: 2025081119494100400_b21 article-title: Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation publication-title: Neuron doi: 10.1016/j.neuron.2018.03.035 – volume: 227 start-page: 331 issue: 1 year: 2022 ident: 2025081119494100400_b49 article-title: Structure can predict function in the human brain: A graph neural network deep learning model of functional connectivity and centrality based on structural connectivity publication-title: Brain Struct Funct doi: 10.1007/s00429-021-02403-8 – volume: 23 start-page: S208 year: 2004 ident: 2025081119494100400_b60 article-title: Advances in functional and structural MR image analysis and implementation as FSL publication-title: Neuroimage doi: 10.1016/j.neuroimage.2004.07.051 – volume: 1 start-page: 850266 year: 2022 ident: 2025081119494100400_b13 article-title: A riemannian revisiting of structure–function mapping based on eigenmodes publication-title: Front Neuroimaging doi: 10.3389/fnimg.2022.850266 – reference: 38045396 - bioRxiv. 2024 Sep 18:2023.11.22.568257. doi: 10.1101/2023.11.22.568257. |
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