The DOI matches its Crossref record; 210 of the 210 references it cites were found in a registry or an index.
A cross-disorder connectome landscape of brain dysconnectivity
Open accessAbstract
Many human brain disorders are associated with characteristic alterations in the structural and functional connectivity of the brain. In this article, we explore how commonalities and differences in connectome alterations can reveal relationships across disorders. We survey recent literature on connectivity changes in neurological and psychiatric disorders in the context of key organizational principles of the human connectome and observe that several disturbances to network properties of the human brain have a common role in a wide range of brain disorders and point towards potentially shared network mechanisms underpinning disorders. We hypothesize that the distinct dimensions along which connectome networks are organized (for example, 'modularity' and 'integration') provide a general coordinate system that allows description and categorization of relationships between seemingly disparate disorders. We outline a cross-disorder 'connectome landscape of dysconnectivity' along these principal dimensions of network organization that may place shared connectome alterations between brain disorders in a common framework.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“High levels of psychiatric comorbidity and heterogeneity, fluid symptom trajectories, cross-diagnostic overlap in genetic and neurobiological factors, and the limited efficacy of many psychiatric treatments restrict our understanding of the neurobiology of mental illness based on categorical diagnoses [3–6].”
From Toward a neurocircuit-based taxonomy to guide treatment of obsessive-compulsive disorder (2021) · cites this paper as [5]
In the citing paper
“the complex phenomenology of the condition likely reflects widespread abnormalities across multiple brain regions and circuits encompassing a variety of emotional, cognitive, and behavioral domains, like most psychiatric disorders [5, 7].”
From Toward a neurocircuit-based taxonomy to guide treatment of obsessive-compulsive disorder (2021) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
Self-citationInsel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173
Self-citationThe economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284
Self-citationThe Human Connectome: A Structural Description of the Human Brain
Sporns, O., Tononi, G., & Kötter, R. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010042 · Cited by 3,260
Self-citationBuckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862
Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity
Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., Papademetris, X., & Constable, R. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4135 · Cited by 2,747
Bassett, D. S., & Sporns, O. (2017) · Nature Neuroscience · doi:10.1038/nn.4502 · Cited by 2,398
Self-citation
Research works printed but not linked: 1
- Wolf, D. A. & Mash, E. J. (eds) Behavioral and Emotional Disorders in Adolescents: Nature, Assessment, and Treatment (Guilford Press, 2008).
Cited by
Sorted by citations
Items 201–300 of 462
DCP : A pipeline toolbox for diffusion connectome
Huang, W., Dong, X., Zhao, T., Kucikova, L., Fu, A., & Shu, N. (2024) · Human Brain Mapping · doi:10.1002/hbm.26626 · Cited by 7
Kirimtat, A., Krejcar, O., Marešová, P., Selamat, A., & Kuča, K. (2024) · IEEE Access · doi:10.1109/access.2024.3484928 · Cited by 8
Zuo, C., Liu, W., Lan, H., Chen, L., Li, N. N., Yan, Y., Li, L., Luo, C., Kemp, G. J., Lui, S., et al. (2026) · npj Digital Medicine · doi:10.1038/s41746-025-02301-x · Cited by 10
Goekoop, R., & de Kleijn, R. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105402 · Cited by 10
Valencia, N., Seeger, F. R., Seitz, K. I., Carius, L., Nkrumah, R. O., Schmitz, M., Bertsch, K., & Herpertz, S. C. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.07.022 · Cited by 10
Magalhães, T. N. C., Gerbelli, C. L. B., Pimentel‐Silva, L. R., de Campos, B. M., de Rezende, T. J. R., Rizzi, L., Joaquim, H. P. G., Talib, L. L., Forlenza, O. V., Cendes, F., et al. (2021) · Neuroradiology · doi:10.1007/s00234-021-02760-5 · Cited by 8
Küçükerden, M., Schuster, U. E., Röckle, I., Álvarez-Bolado, G., Schwabe, K., & Hildebrandt, H. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01816-1 · Cited by 8
Brain network modulation in Alzheimer’s disease: clinical phenotypes and windows of opportunity
Pini, L. (2022) · Neural Regeneration Research · doi:10.4103/1673-5374.340410 · Cited by 8
Pan, N., Ma, T., Liu, Y., Zhang, S., Hu, S., Shekara, A., Cao, H., Gong, Q., & Chen, Y. (2024) · Psychological Medicine · doi:10.1017/s003329172400285x · Cited by 7
“…various task paradigms due to their many-to-one relationship, pooling findings across experiments in the cognitive domain might be an objective approach that facilitates the comprehensive investigation of functional responses of ADHD medications (Janiri et al., 2020; van den Heuvel & Sporns, 2019).”
Structural connectome alterations in anxious dogs: a DTI-based study
Chen, Q., Xu, Y., Christiaen, E., Wu, G., Witte, S. D., Vanhove, C., Saunders, J. H., Peremans, K. Y., & Baeken, C. (2023) · Scientific Reports · doi:10.1038/s41598-023-37121-0 · Cited by 8
Zhou, J., Chen, W., Jiang, W., Wu, Q., Lu, J., Chen, H., Liu, H., Xu, X., Wu, F., & Hu, H. (2024) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgae062 · Cited by 8
Advances in neuroimaging in disorders of consciousness
Sala, A., Gosseries, O., Laureys, S., & Annen, J. (2025) · Handbook of clinical neurology · doi:10.1016/b978-0-443-13408-1.00008-7 · Cited by 8
Guo, Y., Liu, S., Poletti, S., Liu, W., Liu, Y., Zhao, J., Xiong, Q., Zheng, H., Wei, D., Li, J., et al. (2025) · Psychological Medicine · doi:10.1017/s0033291725100780 · Cited by 7
Lucchetti, F., Céléreau, E., Steullet, P., Alemán‐Gómez, Y., Hagmann, P., Klauser, A., & Klauser, P. (2025) · Nature Communications · doi:10.1038/s41467-025-66124-w · Cited by 7
Yalçin, A., & Rekik, I. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.109014 · Cited by 7
Schulz, M., Petersen, M., Cheng, B., & Thomalla, G. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1291162 · Cited by 9
Altered topology in cortical morphometric similarity network in recurrent major depressive disorder
Xu, Z., Zhou, Z., Tao, W., Lai, W., Qian, L., Cui, W., Peng, B., Zhang, Y., & Hou, G. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.11.038 · Cited by 7
Functional Systems and Brain Functional Units Beyond Luria, With Luria: Anatomical Aspects
Peña‐Casanova, J., & Sigg-Alonso, J. (2020) · Lurian Journal · doi:10.15826/lurian.2020.1.1.6 · Cited by 7
The effect of density thresholding on the EEG network construction
Zakharov, I., Adamovich, T., Олеговна, Т. А., Ismatullina, V. I., & Malykh, S. B. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1727/1/012009 · Cited by 7
Intelligent algorithm for dynamic functional brain network complexity from CN to AD
Zhang, C., Cui, X., Lian, S., Xiao, R., Qiao, H., Li, S., Lou, Y., Feng, Y., Zhuang, L., Du, J., et al. (2021) · International Journal of Intelligent Systems · doi:10.1002/int.22737 · Cited by 7
Imaging Clinical Subtypes and Associated Brain Networks in Alzheimer’s Disease
Herholz, K. (2022) · Brain Sciences · doi:10.3390/brainsci12020146 · Cited by 8
Altered brain network topology during speech tracking in developmental dyslexia
Zhang, M., Riecke, L., Fraga-González, G., & Bonte, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119142 · Cited by 4
Duran, F. S., Beyaz, A., & Rekik, I. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-16431-6_29 · Cited by 7
𝓗1 persistent features of the resting-state connectome in healthy subjects
Martínez, D., Gonzalez, F. A., & Gómez, F. (2022) · Network Neuroscience · doi:10.1162/netn_a_00280 · Cited by 7
Body Image: Neural Basis of ‘Negative’ Phantom Limbs
Longo, M. R. (2020) · Current Biology · doi:10.1016/j.cub.2020.04.006 · Cited by 7
Xiao, G., Li, H., Hu, X., Niu, X., Xu, Q., Yang, Y., & Tao, Y. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113383 · Cited by 7
Preparing for a Second Attack: A Lesion Simulation Study on Network Resilience After Stroke
van Assche, M., Klug, J., Dirren, E., Richiardi, J., & Carrera, E. (2022) · Stroke · doi:10.1161/strokeaha.121.037372 · Cited by 7
Lv, M., Yang, X., Zhou, X., Chen, J., Wei, H., Du, D., Lin, H., & Xia, J. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.922199 · Cited by 7
Dahhan, N. Z. A., Powanwe, A. S., Ismail, M., Cox, E., Tseng, J., de Medeiros, C. B., Laughlin, S., Bouffet, É., Lefebvre, J., & Mabbott, D. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103678 · Cited by 6
Cocuzza, C. V., Chopra, S., Segal, A., Labache, L., Chin, R., Joss, K., & Holmes, A. J. (2026) · Nature Communications · doi:10.1038/s41467-026-75585-6 · Cited by 9
Clinical connectomics: Mapping structural brain networks in disease
Zalesky, A., & Biase, M. A. D. (2026) · Neuron · doi:10.1016/j.neuron.2026.02.007 · Cited by 7
Simulated Attack Reveals How Lesions Affect Network Properties in Poststroke Aphasia
Medaglia, J. D., Erickson, B. A., Pustina, D., Kelkar, A. S., DeMarco, A. T., Dickens, J. V., & Turkeltaub, P. E. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1163-21.2022 · Cited by 9
Irastorza-Valera, L., Gómez, E. S., Benítez, J. M., Montáns, F. J., & Saucedo‐Mora, L. (2024) · Biomimetics · doi:10.3390/biomimetics9060362 · Cited by 7
Demirbilek, O., & Rekik, I. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87234-2_55 · Cited by 6
Zhu, J. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112904 · Cited by 6
Chen, G., Wang, W., Wu, H., Zhao, X., Kang, X., Ren, J., Zhang, J., Sun, Y., He, J., Sun, S., et al. (2024) · SLEEP · doi:10.1093/sleep/zsae002 · Cited by 6
Vadinova, V., Sihvonen, A. J., Wee, F., Garden, K. L., Ziraldo, L., Roxbury, T., O’Brien, K. M., Copland, D. A., McMahon, K. L., & Brownsett, S. L. E. (2024) · Human Brain Mapping · doi:10.1002/hbm.26568 · Cited by 7
Semi-automatic Extraction of Functional Dynamic Networks Describing Patient's Epileptic Seizures
Frusque, G., Borgnat, P., Gonçalvès, P., & Jung, J. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.579725 · Cited by 6
McPherson, B., & Pestilli, F. (2021) · Communications Biology · doi:10.1038/s42003-021-02451-0 · Cited by 7
Constraining functional coactivation with a cluster-based structural connectivity network
Kang, I., Galdo, M., & Turner, B. M. (2022) · Network Neuroscience · doi:10.1162/netn_a_00242 · Cited by 6
Warren, A. (2022) · Frontiers in Dementia · doi:10.3389/frdem.2022.983331 · Cited by 6
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis
Mhiri, I., Mahjoub, M. A., & Rekik, I. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87589-3_15 · Cited by 6
Tissink, E., Werme, J., de Lange, S. C., Savage, J. E., Wei, Y., de Leeuw, C., Nagel, M., Danielle Posthuma, B., & van den Heuvel, M. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.31.494125 · Cited by 6
Georgiadis, F., Larivière, S., Glahn, D. C., Hong, L. E., Kochunov, P. V., Mowry, B. J., Loughland, C. M., Pantelis, C., Henskens, F. A., Green, M. J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.12.527904 · Cited by 6
Liloia, D., Costa, T., Cauda, F., & Manuello, J. (2024) · Advances in Clinical and Experimental Medicine · doi:10.17219/acem/186816 · Cited by 5
Chromatin modifiers in neurodevelopment
Rezazadeh, S., Ji, H., & Giulivi, C. (2025) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2025.1551107 · Cited by 7
Liu, X., Wan, B., Zhang, X.-H., Cui, R., Long, S., Ge, R., Liu, L., Xiao, J., Liu, Z.-Q., Yan, J., et al. (2025) · BMC Medicine · doi:10.1186/s12916-025-04277-7 · Cited by 8
Early functional changes in lewy body dementia: roles of dynamics, locus coeruleus, and compensation
Mitterová, K., Výtvarová, E., Kovářová, A., Lamoš, M., Fousek, J., & Rektorová, I. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01828-1 · Cited by 6
Wang, L., Liu, Q., Zheng, Z., Chen, W., Shen, Y., Li, T., & Feng, C. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03760-2 · Cited by 6
an, K., Zhang, D., Gao, M., Zhang, Y., Zhang, Q., Jiang, Y., Qian, Y., & Zhu, J. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107363 · Cited by 6
Siems, M., Tünnerhoff, J., Ziemann, U., & Siegel, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119752 · Cited by 5
Current status, challenges and future prospects in computational psychiatry: a narrative review
Васильченко, К. Ф., & Chumakov, E. M. (2023) · Consortium Psychiatricum · doi:10.17816/cp11244 · Cited by 8
Chen, C., Chen, Z., Hu, M., Zhou, S., Xu, S., Zhou, G., Zhou, J., Li, Y., Chen, B., Yao, D., et al. (2024) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2024.110881 · Cited by 5
Lv, K., Hu, Y., Cao, X., Xie, Y., Fu, J., Chen, H., Xiong, J., Zhu, L., Geng, D., & Zhang, J. (2024) · Neuroradiology · doi:10.1007/s00234-024-03300-7 · Cited by 5
Simone, L., Pierotti, E., Satta, E., Becchio, C., & Turella, L. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70082 · Cited by 5
Roell, L., Wunderlich, S., Roell, D., Raabe, F. J., Wagner, E. M., Shi, Z., Schmitt, A., Falkai, P., Stoecklein, S., & Keeser, D. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121195 · Cited by 7
Bratberg, G. H., Leira, K., Granan, L., Jonsbu, E., Fadnes, B. L., Thuland, S. F., & Myklebust, T. Å. (2020) · European Journal of Physiotherapy · doi:10.1080/21679169.2020.1739747 · Cited by 5
Ribeiro, F. L., dos Santos, F. R. C., Sato, J. R., Pinaya, W. H. L., & Biazoli, C. E. (2021) · Network Neuroscience · doi:10.1162/netn_a_00189 · Cited by 5
Li, J., Huang, M., Pan, F., Li, Z., Shen, Z., Jin, K., Zhao, H., Lu, S., Shang, D., Xu, Y., et al. (2021) · Brain Connectivity · doi:10.1089/brain.2021.0088 · Cited by 4
Fan, Z., Fan, Z., Qiu, T., Hu, L., Shi, Y. L. Z., Xia, Y., Sun, X., Liu, Y., Li, S., Xia, M., et al. (2022) · Brain Imaging and Behavior · doi:10.1007/s11682-022-00658-1 · Cited by 5
Bagonis, M., Cornea, E. A., Girault, J. B., Stephens, R. L., Kim, S., Prieto, J. C., Styner, M. A., & Gilmore, J. H. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.09.005 · Cited by 5
Belov, V., Kozyrev, V., Singh, A., Sacchet, M. D., & Goya‐Maldonado, R. (2023) · Scientific Reports · doi:10.1038/s41598-023-38946-5 · Cited by 5
Courson, J., Quoy, M., Timofeeva, Y., & Manos, T. (2024) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2024.1360009 · Cited by 5
Haas, A., Chung, J., Kent, C. D., Mills, B., & McCoy, M. (2024) · Cureus · doi:10.7759/cureus.56223 · Cited by 6
Michael, C., Mitchell, M. E., Cascone, A., Fogleman, N. D., Rosch, K. S., Cutts, S. A., Pekar, J. J., Sporns, O., Mostofsky, S. H., & Cohen, J. R. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.11.006 · Cited by 10
Self-citationSchirmer, M. D., & Chung, A. W. (2019) · DZNE Pub · Cited by 5
Differentially Describing Groups of Graphs
Coupette, C., Dalleiger, S., & Vreeken, J. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i4.20312 · Cited by 5
Cinar, E., Haseki, S. E., Bessadok, A., & Rekik, I. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-21083-9_9 · Cited by 5
Qiu, X., Sun, Y., Shi, Y., Duan, X., Wang, F., & Ma, J. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103664 · Cited by 6
Rauscher, B. C., Fomin-Thunemann, N., Kura, S., Doran, P. R., Pérez, P. D., Kılıç, K., Martin, E. A., Balog, D., Chai, N. X., Froio, F. A., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02239-7 · Cited by 6
Disinhibition in dementia related to reduced morphometric similarity of cognitive control network
Jenkins, L. M., Heywood, A. A., Gupta, S. M., Kouchakidivkolaei, M., Sridhar, J., Rogalski, E. J., Weıntraub, S., Popuri, K., Rosen, H. J., Wang, L., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae124 · Cited by 4
Zhang, R., Ren, J., Fu, L., Lei, X., Wang, Y., Guo, C., Teng, X., Wu, Z., Yu, L., Wu, Y., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119388 · Cited by 4
Yang, C., Zhang, L., Liu, J., Li, K., Li, S., Yang, Z., Bishop, J. R., Deng, W., Yao, L., Lui, S., et al. (2024) · Schizophrenia Bulletin · doi:10.1093/schbul/sbae231 · Cited by 4
Deep generation of personalized connectomes based on individual attributes
Liu, Y., Seguin, C., Sina Mansour, L., Tian, Y., Biase, M. A. D., & Zalesky, A. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103761 · Cited by 5
Cortico-subcortical converging organization at rest
Jallepalli, D., & Dang, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-18023-9 · Cited by 6
Zhang, H., Tehlan, K., Ille, S., Schwendner, M. J., Gong, Z., Schroeder, A., Meyer, B., & Krieg, S. M. (2023) · Neurosurgical FOCUS · doi:10.3171/2023.3.focus2363 · Cited by 4
Smullen, D., Bagshaw, A. P., Shalev, L., Tsafrir, S., Kolodny, T., & Mevorach, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-02326-y · Cited by 4
Contributions of Imaging to Neuromodulatory Treatment of Drug-Refractory Epilepsy
Foit, N. A., Bernasconi, N., & Bernasconi, N. (2020) · Brain Sciences · doi:10.3390/brainsci10100700 · Cited by 4
Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine
Gharsallaoui, M. A., Tornacı, F., & Rekik, I. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87602-9_10 · Cited by 4
A voxel-level brain-wide association study of cortisol at 8 a.m.: Evidence from Cushing's disease
Zhang, Y., Zhou, T., Feng, S., Liu, X., Wang, F., Sha, Z., & Yu, X. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100414 · Cited by 4
A fast parameter estimator for large complex networks
Guzmán, G. E. C., Takahashi, D. Y., & Fujita, A. (2022) · Journal of Complex Networks · doi:10.1093/comnet/cnac022 · Cited by 4
Effect of Extremely Preterm Birth on Adolescent Brain Network Organization
Molloy, M. F., Yu, E. J., Mattson, W. I., Hoskinson, K. R., Taylor, H. G., Osher, D. E., Nelson, E. E., & Saygin, Z. M. (2023) · Brain Connectivity · doi:10.1089/brain.2022.0077 · Cited by 6
Connectome analysis and psychiatric disorders
Crossley, N. A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-85280-7.00001-4 · Cited by 3
Stevens, R. H., & Galloway, T. L. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.606823 · Cited by 4
Li, C., Ke Cheng, X. U., Dong, M., Wei, Y., Duan, J., Han, S., Feng, R., Zhang, L., Zhao, P., Chen, Y., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/670562 · Cited by 3
Molecular and connectomic vulnerability shape cross-disorder cortical abnormalitiesPreprint
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) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.21.476409 · Cited by 4
Maliske, L., Lehmann, K., Schurz, M., Hildebrandt, M. K., Jauk, E., & Kanske, P. (2023) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/c6gsz · Cited by 4
Attention for Causal Relationship Discovery from Biological Neural DynamicsPreprint
Lu, Z., Tabassum, A., Kulkarni, S., Lu, M., Kutz, J. N., Shea‐Brown, E., & Lim, S. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2311.06928 · Cited by 9
Modeling brain reorganization after hemispherectomyPreprint
Seoane, L. F., & Solé, R. V. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.25.424412 · Cited by 4
Electrophysiological effects of deep brain stimulation in anorexia nervosa
Oudijn, M. S., Sargent, K., Lok, A., Schuurman, P. R., van den Munckhof, P., Elburg, A. A. V., Mocking, R. J. T., Smit, D. J. A., & Denys, D. A. J. P. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.03.043 · Cited by 3
Shin, D., Jung, M., Park, J., Kang, Y., Ham, B., Auer, D. P., Jung, J., & Han, K. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120123 · Cited by 3
Clarke, N., Urchs, S. G. W., Nguyen, H. D., Moreau, C. A., Dansereau, C. L., Tam, A., Evans, A. C., & Bellec, P. (2025) · GigaScience · doi:10.1093/gigascience/giaf091 · Cited by 3
Chen, S., Guo, X., Liu, X., Liu, S., & Ming, D. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120189 · Cited by 3
Zhang, H.-B., Green, J., Dwivedi, S., & Chou, Y. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2025.11.019 · Cited by 3
The genetic landscape of human functional brain connectivity
Maciel, B. D. A. P. C., Schipper, M., Romero, C., de Leeuw, C., Helwegen, K., Posthuma, D., Savage, J. E., & van den Heuvel, M. P. (2026) · Nature Communications · doi:10.1038/s41467-026-69442-9 · Cited by 3
Xia, X., Gao, F., Xu, S., Li, K., Zhu, Q., He, Y., Zeng, X., Hua, L., Huang, S., & Yuan, Z. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121205 · Cited by 3
Vriend, C., Fitzsimmons, S., Aarts, I., Broekhuizen, A., van der Werf, Y. D., Douw, L., Visser, H. A. D., Thomaes, K., & van den Heuvel, O. A. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103870 · Cited by 3
Schirmer, M. D., & Chung, A. W. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32391-2_6 · Cited by 6
Yan, Y., Fan, G., Liao, X., & Zhao, X. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1046562 · Cited by 5
Peralta-Malváez, L., Turnbull, A. G., Anthony, M., Adeli, E., & Lin, F. V. (2023) · GeroScience · doi:10.1007/s11357-023-00730-8 · Cited by 3
Metadata
- Authors
- van den Heuvel, M. P., & Sporns, O.
- Affiliations
- Indiana University Bloomington (US)
- ORCID
- Sporns, Olaf
- Venue
- Nature Reviews Neuroscience
- Published
- 2019-05-24
- Volume
- 20
- Issue
- 7
- Pages
- 435-446
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC8864539
- OpenAlex
- W2945032471
- Cited by
- 462
- References
- 207
- Citations by year
- 2026: 58 · 2025: 73 · 2024: 60 · 2023: 55 · 2022: 75 · 2021: 76 · 2020: 56 · 2019: 9
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- green
- pure.amsterdamumc.nl
- Licence
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (452-16-015, VIDI-452-16-015, ALWOP.179)
- National Institutes of Health
- National Center for Complementary and Integrative Health (R01AT009036)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- brain dysconnectivity, connectome, cross-disorder analysis, structural connectivity, functional connectivity, network modularity, network integration, neurological disorders, mental illness
- MeSH terms
- Animals, Brain, Brain Diseases, Humans, Nerve Net, Connectome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review