Networks of anatomical covariance

Evans, Alan C.

doi:10.1016/j.neuroimage.2013.05.054

Cited by 429Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Networks of anatomical covariance

Evans, Alan C.·2013·NeuroImage

DOI 10.1016/j.neuroimage.2013.05.054

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Abstract

Functional imaging or diffusion-weighted imaging techniques are widely used to understand brain connectivity at the systems level and its relation to normal neurodevelopment, cognition or brain disorders. It is also possible to extract information about brain connectivity from the covariance of morphological metrics derived from anatomical MRI. These covariance patterns may arise from genetic influences on normal development and aging, from mutual trophic reinforcement as well as from experience-related plasticity. This review describes the basic methodological strategies, the biological basis of the observed covariance as well as applications in normal brain and brain disease before a final review of future prospects for the technique.

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From simple graphs to the connectome: Networks in neuroimaging
Sporns, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.085 · Cited by 170 · see citing works
A weighted communicability measure applied to complex brain networks
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Thalamo–cortical network pathology in idiopathic generalized epilepsy: Insights from MRI-based morphometric correlation analysis
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Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18
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Global and regional brain metabolic scaling and its functional consequences.
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Age-related alterations in the modular organization of structural cortical network by using cortical thickness from MRI
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Tensorlines: advection-diffusion based propagation through diffusion tensor fields
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Modelling the development of cortical systems networks
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Brain structure in men remains highly heritable in the seventh and eighth decades of life☆
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Abnormal topological organization of structural brain networks in schizophrenia
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A Comparison of Heritability Maps of Cortical Surface Area and Thickness and the Influence of Adjustment for Whole Brain Measures: A Magnetic Resonance Imaging Twin Study
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Classes of network connectivity and dynamics
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Mapping brains without coordinates
Kötter, R., & Wanke, E. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1625 · Cited by 137 · see citing works
Cortical Thickness Is Influenced by Regionally Specific Genetic Factors
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Structural MRI covariance patterns associated with normal aging and neuropsychological functioning
Brickman, A. M., Habeck, C. G., Zarahn, E., Flynn, J., & Stern, Y. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.12.016 · Cited by 132 · see citing works
The impact of aging on gray matter structural covariance networks
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Genetic Influences on Cortical Regionalization in the Human Brain
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Incident major depression does not affect neuropsychological functioning in HIV-infected men
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Age-related networks of regional covariance in MRI gray matter: Reproducible multivariate patterns in healthy aging
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Spatial patterns of brain amyloid- burden and atrophy rate associations in mild cognitive impairment
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Imaging structural and functional brain development in early childhood
Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013 · see citing works
Functional connectomics from resting-state fMRI
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Mapping neurotransmitter systems to the structural and functional organization of the human neocortex
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Small-world human brain networks: Perspectives and challenges
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Altered cerebellar connectivity in autism and cerebellar-mediated rescue of autism-related behaviors in mice
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Developmental pathways to functional brain networks: emerging principles
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Adolescent Tuning of Association Cortex in Human Structural Brain Networks
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Studying neuroanatomy using MRI
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Network analysis for a network disorder: The emerging role of graph theory in the study of epilepsy
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Building connectomes using diffusion MRI: why, how and but
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Connectivity‐based parcellation: Critique and implications
Eickhoff, S. B., Thirion, B., Varoquaux, G. P., & Bzdok, D. (2015) · Human Brain Mapping · doi:10.1002/hbm.22933 · Cited by 267 · see citing works
Large-scale functional connectivity networks in the rodent brain
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How to Characterize the Function of a Brain Region
Genon, S., Reid, A., Langner, R., Amunts, K., & Eickhoff, S. B. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.01.010 · Cited by 221 · see citing works
Single‐subject morphological brain networks: connectivity mapping, topological characterization and test–retest reliability
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Null models in network neuroscience
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Relationship Between White Matter Hyperintensities, Cortical Thickness, and Cognition
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White matter development and early cognition in babies and toddlers
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Topographic organization of the cerebral cortex and brain cartography
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From maps to multi-dimensional network mechanisms of mental disorders
Braun, U., Schaefer, A., Betzel, R. F., Tost, H., Meyer-Lindenberg, A., & Bassett, D. S. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.007 · Cited by 177 · see citing works
Epidemic Spreading Model to Characterize Misfolded Proteins Propagation in Aging and Associated Neurodegenerative Disorders
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Structural and Maturational Covariance in Early Childhood Brain Development
Geng, X., Li, G., Lu, Z., Gao, W., Wang, L., Shen, D., Zhu, H., & Gilmore, J. H. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw022 · Cited by 175 · see citing works
Neuroanatomic differences associated with stress susceptibility and resilience
Anacker, C., Scholz, J., O’Donnell, K. J., Allemang-Grand, R., Diorio, J., Bagot, R. C., Nestler, E. J., Hen, R., Lerch, J. P., & Meaney, M. J. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.08.009 · Cited by 167 · see citing works
Waves of Maturation and Senescence in Micro-structural MRI Markers of Human Cortical Myelination over the Lifespan
Grydeland, H., Vértes, P. E., Váša, F., Romero-García, R., Whitaker, K. J., Alexander‐Bloch, A. F., Bjørnerud, A., Patel, A. X., Sederevičius, D., Tamnes, C. K., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy330 · Cited by 154 · see citing works
A Connectome Computation System for discovery science of brain
Xu, T., Yang, Z., Jiang, L., Xing, X.-X., & Zuo, X. (2015) · 中国科学通报：英文版 · doi:10.1007/s11434-014-0698-3 · Cited by 167 · see citing works
Irritable bowel syndrome in female patients is associated with alterations in structural brain networks
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Shaping brain structure: Genetic and phylogenetic axes of macroscale organization of cortical thickness
Valk, S. L., Xu, T., Margulies, D. S., Masouleh, S. K., Paquola, C., Goulas, A., Kochunov, P., Smallwood, J., Yeo, B. T. T., Bernhardt, B. C., et al. (2020) · Science Advances · doi:10.1126/sciadv.abb3417 · Cited by 153 · see citing works
Resolving heterogeneity in schizophrenia through a novel systems approach to brain structure: individualized structural covariance network analysis
Liu, Z., Palaniyappan, L. K., Wu, X., Zhang, K., Du, J., Zhao, Q., Xie, C., Tang, Y., Su, W., Wei, Y., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01229-4 · Cited by 146 · see citing works
Does prenatal stress alter the developing connectome?
Scheinost, D., Sinha, R., Cross, S., Kwon, S. H., Sze, G. K., Constable, R. T., & Ment, L. R. (2016) · Pediatric Research · doi:10.1038/pr.2016.197 · Cited by 143 · see citing works
Evidence for brainstem network disruption in temporal lobe epilepsy and sudden unexplained death in epilepsy
Mueller, S. G., Bateman, L. M., & Laxer, K. D. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.06.010 · Cited by 135 · see citing works
Local molecular and global connectomic contributions to cross-disorder cortical abnormalities
Hansen, J. Y., Shafiei, G., Vogel, J. W., Smart, K. A., Bearden, C. E., Hoogman, M., Franke, B., van Rooij, D., Buitelaar, J. K., McDonald, C. R., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32420-y · Cited by 125 · see citing works
Behavioral, neuroanatomical, and molecular correlates of resilience and susceptibility to maternal immune activation
Mueller, F. S., Scarborough, J., Schalbetter, S. M., Richetto, J., Kim, E., Couch, A. C. M., Yee, Y., Lerch, J. P., Vernon, A. C., Weber‐Stadlbauer, U., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00952-8 · Cited by 128 · see citing works
Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer’s disease
Iturria‐Medina, Y., Carbonell, F., Sotero, R. C., Chouinard-Decorte, F., & Evans, A. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.058 · Cited by 126 · see citing works
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Clustering Coefficients for Correlation Networks
Masuda, N., Sakaki, M., Ezaki, T., & Watanabe, T. (2018) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2018.00007 · Cited by 121 · see citing works
Structural brain development: A review of methodological approaches and best practices
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A Predictive Structural Model of the Primate Connectome
Beul, S. F., Barbas, H., & Hilgetag, C. C. (2017) · Scientific Reports · doi:10.1038/srep43176 · Cited by 119 · see citing works
Multimodal Parcellations and Extensive Behavioral Profiling Tackling the Hippocampus Gradient
Plachti, A., Eickhoff, S. B., Hoffstaedter, F., Patil, K. R., Laird, A. R., Fox, P. T., Amunts, K., & Genon, S. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy336 · Cited by 110 · see citing works
Progressive Reduction in Gray Matter in Patients with Schizophrenia Assessed with MR Imaging by Using Causal Network Analysis
Jiang, Y., Luo, C., Li, X., Duan, M., He, H., Chen, X., Yang, H., Gong, J., Chang, X., Woelfer, M., et al. (2018) · Radiology · doi:10.1148/radiol.2017171832 · Cited by 114 · see citing works
Towards a biologically annotated brain connectome
Bazinet, V., Hansen, J. Y., & Mišić, B. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00752-3 · Cited by 108 · see citing works
Socio-Cognitive Phenotypes Differentially Modulate Large-Scale Structural Covariance Networks
Valk, S. L., Bernhardt, B. C., Böckler, A., Trautwein, F., Kanske, P., & Singer, T. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv319 · Cited by 110 · see citing works
Surface-based single-subject morphological brain networks: Effects of morphological index, brain parcellation and similarity measure, sample size-varying stability and test-retest reliability
Li, Y., Wang, N., Wang, H., Lv, Y., Zou, Q., & Wang, J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118018 · Cited by 103 · see citing works
Brain volumetric and metabolic correlates of electroconvulsive therapy for treatment-resistant depression: a longitudinal neuroimaging study
Cano, M., Martínez‐Zalacaín, I., Bernabéu, Á., Contreras‐Rodríguez, O., Hernández‐Ribas, R., Via, E., de Arriba‐Arnau, A., Gálvez, V., Urretavizcaya, M., Pujol, J., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2016.267 · Cited by 106 · see citing works
Structural Covariance Networks in Children with Autism or ADHD
Bethlehem, R. A. I., Romero-García, R., Mak, E., Bullmore, E. T., & Baron‐Cohen, S. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx135 · Cited by 105 · see citing works
Hippocampus-associated causal network of structural covariance measuring structural damage progression in temporal lobe epilepsy
Zhang, Z., Liao, W., Xu, Q., Wei, W., Zhou, H. J., Sun, K., Yang, F., Mantini, D., Xueman, J., & Lu, G. (2016) · Human Brain Mapping · doi:10.1002/hbm.23415 · Cited by 103 · see citing works
Genetic Complexity of Cortical Structure: Differences in Genetic and Environmental Factors Influencing Cortical Surface Area and Thickness
Strike, L. T., Hansell, N. K., Couvy‐Duchesne, B., Thompson, P. M., de Zubicaray, G. I., McMahon, K. L., & Wright, M. J. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy002 · Cited by 99 · see citing works
Graph theoretical modeling of baby brain networks
Zhao, T., Xu, Y., & Yong He, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.038 · Cited by 104 · see citing works
Structural brain correlates of cognitive function in schizophrenia: A meta-analysis
Khalil, M., Hollander, P., Raucher‐Chéné, D., Lepage, M., & Lavigne, K. M. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.11.034 · Cited by 100 · see citing works
Construction of Individual Morphological Brain Networks with Multiple Morphometric Features
Li, W., Yang, C., Shi, F., Wu, S., Wang, Q., Nie, Y., & Zhang, X. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00034 · Cited by 98 · see citing works
Abnormalities in structural covariance of cortical gyrification in schizophrenia
Palaniyappan, L. K., Park, B., Balain, V., Dangi, R., & Liddle, P. F. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0772-2 · Cited by 92 · see citing works
Brain connectivity in normally developing children and adolescents
Khundrakpam, B. S., Lewis, J. D., Zhao, L., Chouinard-Decorte, F., & Evans, A. C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.062 · Cited by 91 · see citing works
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Altered Cerebral Blood Flow Covariance Network in Schizophrenia
Liu, F., Zhuo, C., & Yu, C. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00308 · Cited by 87 · see citing works
Volumetric grey matter alterations in adolescents and adults born very preterm suggest accelerated brain maturation
Karolis, V., Froudist-Walsh, S., Kroll, J., Brittain, P., Tseng, C., Nam, K., Reinders, A., Murray, R., Williams, S. C. R., Thompson, P., et al. (2017) · bioRxiv · doi:10.1016/j.neuroimage.2017.09.039 · Cited by 86 · see citing works
Community detection in weighted brain connectivity networks beyond the resolution limit
Nicolini, C., Bordier, C., & Bifone, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.026 · Cited by 86 · see citing works
Toward individualized connectomes of brain morphology
Wang, J., & Yong He, A. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.11.011 · Cited by 84 · see citing works
Interoperable atlases of the human brain
Amunts, K., Hawrylycz, M., Essen, D. C. V., Horn, J. D. V., Harel, N., Poline, J.-B., Martino, F. D., Bjaalie, J. G., Dehaene‐Lambertz, G., Dehaene, S., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.010 · Cited by 83 · see citing works
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Cortical Thinning and Altered Cortico-Cortical Structural Covariance of the Default Mode Network in Patients with Persistent Insomnia Symptoms
Suh, S. A., Kim, H., Dang‐Vu, T. T., Joo, E.-Y., & Shin, C. (2015) · SLEEP · doi:10.5665/sleep.5340 · Cited by 81 · see citing works
Linking DMN connectivity to episodic memory capacity: What can we learn from patients with medial temporal lobe damage?
McCormick, C., Protzner, A. B., Barnett, A. J., Cohn, M., Valiante, T. A., & McAndrews, M. P. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.05.008 · Cited by 79 · see citing works
Mapping neurotransmitter systems to the structural and functional organization of the human neocortexPreprint
Hansen, J. Y., Shafiei, G., Markello, R. D., Smart, K. A., Cox, S. M. L., Nørgaard, M., Beliveau, V., Wu, Y., Gallezot, J., Aumont, É., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.28.466336 · Cited by 81 · see citing works
Longitudinal structural brain development and externalizing behavior in adolescence
Bos, M. G. N., Wierenga, L. M., Blankenstein, N. E., Schreuders, E., Tamnes, C. K., & Crone, E. A. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12972 · Cited by 81 · see citing works
Source-based morphometry: a decade of covarying structural brain patterns
Gupta, C. N., Turner, J. A., & Calhoun, V. D. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01969-8 · Cited by 79 · see citing works
Brain structural alterations are distributed following functional, anatomic and genetic connectivity
Cauda, F., Nani, A., Manuello, J., Premi, E., Palermo, S., Tatu, K., Duca, S., Fox, P. T., & Costa, T. (2018) · Brain · doi:10.1093/brain/awy252 · Cited by 76 · see citing works
Multi-Feature Based Network Revealing the Structural Abnormalities in Autism Spectrum Disorder
Zheng, W., Eilam‐Stock, T., Wu, T., Spagna, A., Chen, C., Hu, B., & Fan, J. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2018.2890597 · Cited by 78 · see citing works
Individual‐level brain morphological similarity networks: Current methodologies and applications
Cai, M., Ma, J., Wang, Z., Zhao, Y., Zhang, Y., Wang, H., Xue, H., Chen, Y., Zhang, Y., Wang, C., et al. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14384 · Cited by 77 · see citing works
Cerebellar and Prefrontal Cortical Alterations in PTSD: Structural and Functional Evidence
Holmes, S. E., Scheinost, D., DellaGioia, N., Davis, M. T., Matuskey, D., Pietrzak, R. H., Hampson, M., Krystal, J. H., & Esterlis, I. (2018) · Chronic Stress · doi:10.1177/2470547018786390 · Cited by 78 · see citing works
Fibromyalgia is characterized by altered frontal and cerebellar structural covariance brain networks
Kim, H., Kim, J., Loggia, M. L., Cahalan, C., Garcia, R. G., Vangel, M. G., Wasan, A. D., Edwards, R. R., & Napadow, V. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.02.022 · Cited by 74 · see citing works
Pain-Evoked Reorganization in Functional Brain Networks
Zheng, W., Woo, C., Yao, Z., Goldstein, P., Atlas, L. Y., Roy, M., Schmidt, L., Krishnan, A., Jepma, M., Hu, B., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz276 · Cited by 79 · see citing works
Multimodal Investigation of Network Level Effects Using Intrinsic Functional Connectivity, Anatomical Covariance, and Structure-to-Function Correlations in Unmedicated Major Depressive Disorder
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Authors: Evans, A. C.
Affiliations: Montreal Neurological Institute and Hospital (CA)
Corresponding author: Evans, Alan C.
ORCID: Evans, Alan C.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2013-10
Volume: 80
Pages: 489-504
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2013.05.054
OpenAlex: W2081828863
Cited by: 429
References: 261
Citations by year: 2026: 35 · 2025: 28 · 2024: 29 · 2023: 34 · 2022: 30 · 2021: 43 · 2020: 38 · 2019: 29 · 2018: 41 · 2017: 34 · 2016: 33 · 2015: 36 · 2014: 15 · 2013: 4
FWCI: 2.50
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords: brain connectivity, morphometrics, anatomical MRI, brain development, brain aging, experience-dependent plasticity, brain disorders
MeSH terms: Animals, Brain, Brain Diseases, Humans, Models, Anatomic, Models, Neurological, Nerve Net, Models, Statistical, Connectome

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