A cross-disorder connectome landscape of brain dysconnectivity

Complex brain networks: graph theoretical analysis of structural and functional systems

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Research domain criteria (RDoC): toward a new classification framework for research on mental disorders

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Correspondence of the brain's functional architecture during activation and rest

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The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods

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Mapping the structural core of human cerebral cortex

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The economy of brain network organization

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The Human Connectome: A Structural Description of the Human Brain

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Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease

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Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity

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Network neuroscience

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Gray matter abnormalities follow non-random patterns of co-alteration in autism: Meta-connectomic evidence

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Graph theoretical quantification of white matter reorganization after cortical stroke in mice

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Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint

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Brain Structural Network Connectivity of Formal Thought Disorder Dimensions in Affective and Psychotic Disorders

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Finding specificity in structural brain alterations through Bayesian reverse inference

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Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints

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Revealing the Selectivity of Neuroanatomical Alteration in Autism Spectrum Disorder via Reverse Inference

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Structural disconnectome mapping of cognitive function in poststroke patients

Kolskår, K. K., Ulrichsen, K. M., Richard, G., Dørum, E. S., de Schotten, M. T., Rokicki, J., Sánchez, J. M., Engvig, A., Hansen, H. I., Nordvik, J. E., et al. (2022) · Brain and Behavior · doi:10.1002/brb3.2707 · Cited by 24

Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones

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Tangent functional connectomes uncover more unique phenotypic traits

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Characterization of network switching in disorder of consciousness at multiple time scales

Cai, L., Wei, X., Wang, J., Yi, G., Lu, M., & Dong, Y. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab79f5 · Cited by 26

FDG-PET-based brain network analysis: a brief review of metabolic connectivity

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Functional and structural gradients reveal atypical hierarchical organization of Parkinson's disease

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Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study

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Transdiagnostic neuromodulation of impulsivity: current status and future trajectories

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Convergence of Brain Transcriptomic and Neuroimaging Patterns in Schizophrenia, Bipolar Disorder, Autism Spectrum Disorder, and Major Depressive Disorder

Ardesch, D. J., Libedinsky, I., Scholtens, L. H., Wei, Y., & van den Heuvel, M. P. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.12.013 · Cited by 25

Microfluidic cell engineering on high-density microelectrode arrays for assessing structure-function relationships in living neuronal networks

Sato, Y., Yamamoto, H., Kato, H., Tanii, T., Sato, S., & Hirano‐Iwata, A. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.943310 · Cited by 22

The Genetic Architectures of Functional and Structural Connectivity Properties within Cerebral Resting-State Networks

Tissink, E., Werme, J., de Lange, S. C., Savage, J. E., Wei, Y., de Leeuw, C., Nagel, M., Posthuma, D., & van den Heuvel, M. P. (2023) · eNeuro · doi:10.1523/eneuro.0242-22.2023 · Cited by 31

Role of Ash1l in Tourette syndrome and other neurodevelopmental disorders

Zhang, C., Xu, L., Zheng, X., Liu, S., & Che, F. (2020) · Developmental Neurobiology · doi:10.1002/dneu.22795 · Cited by 23

Genome‐wide association studies: utility and limitations for research in physiology

Ciochetti, N. P., Lugli‐Moraes, B., da Silva, B. S., & Rovaris, D. L. (2023) · The Journal of Physiology · doi:10.1113/jp284241 · Cited by 25

Heterogeneity of morphometric similarity networks in health and schizophrenia

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Cross-modal connectivity effects in age-related hearing loss

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Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review

Adebisi, A. T., & Veluvolu, K. C. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1039496 · Cited by 21

Human and chimpanzee shared and divergent neurobiological systems for general and specific cognitive brain functions

van den Heuvel, M. P., Ardesch, D. J., Scholtens, L. H., de Lange, S. C., van Haren, N. E. M., Sommer, I. E., Dannlowski, U., Repple, J., Preuss, T. M., Hopkins, W. D., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2218565120 · Cited by 21

Network analysis of neuroimaging in mice

Scharwächter, L., Schmitt, F. J., Pallast, N., Fink, G. R., & Aswendt, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119110 · Cited by 22

The hierarchical taxonomy of psychopathology and the search for neurobiological substrates of mental illness: A systematic review and roadmap for future research.

DeYoung, C. G., Blain, S. D., Latzman, R. D., Grazioplene, R. G., Haltigan, J. D., Kotov, R., Michelini, G., Venables, N. C., Docherty, A. R., Goghari, V. M., et al. (2024) · Journal of Psychopathology and Clinical Science · doi:10.1037/abn0000903 · Cited by 35

Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition

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Rich-club structure contributes to individual variance of reading skills via feeder connections in children with reading disabilities

Lou, C., Cross, A. M., Peters, L., Ansari, D., & Joanisse, M. F. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100957 · Cited by 20

Modelling brain dynamics by Boolean networks

Bertacchini, F., Scuro, C., Pantano, P., & Bilotta, E. (2022) · Scientific Reports · doi:10.1038/s41598-022-20979-x · Cited by 20

Genetic overlap between multivariate measures of human functional brain connectivity and psychiatric disorders

Roelfs, D., van der Meer, D., Alnæs, D., Frei, O., Shadrin, A. A., Loughnan, R. J., Fan, C. C., Dale, A. M., Andreassen, O. A., Westlye, L. T., et al. (2024) · Nature Mental Health · doi:10.1038/s44220-023-00190-1 · Cited by 18

Formation of spiral wave in Hodgkin-Huxley neuron networks with Gamma-distributed synaptic input

Kang, Y., Chen, Y., Fu, Y., Wang, Z., & Chen, G. (2019) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2019.105112 · Cited by 20

Flattened Structural Network Changes and Association of Hyperconnectivity With Symptom Severity in 2–7-Year-Old Children With Autism

Ouyang, M., Peng, Y., Sotardi, S. T., Hu, D., Zhu, T., Cheng, H., & Huang, H. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.757838 · Cited by 18

Multidimensional Assessment of Electroencephalography in the Neuromodulation of Disorders of Consciousness

Zhang, C., Han, S., Li, Z., Wang, X., Lv, C., Zou, X., Zhu, F., Zhang, K., Lu, S., Bie, L., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.903703 · Cited by 19

Associated Genetics and Connectomic Circuitry in Schizophrenia and Bipolar Disorder

Wei, Y., de Lange, S. C., Savage, J. E., Tissink, E., Qi, T., Repple, J., Gruber, M., Kircher, T. T. J., Dannlowski, U., Posthuma, D., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.11.006 · Cited by 17

Hemodynamic transient and functional connectivity follow structural connectivity and cell type over the brain hierarchy

Chuang, K., Li, Z., Huang, H., Gerdekoohi, S. K., & Athwal, D. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2202435120 · Cited by 19

Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity

Isallari, M., & Rekik, I. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102084 · Cited by 19

Cortical Networks Underpinning Compensation of Verbal Fluency in Normal Aging

Gonzalez‐Burgos, L., Pereira, J. B., Mohanty, R., Barroso, J., Westman, E., & Ferreira, D. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab052 · Cited by 19

Current Status of Electroencephalography Microstate in Psychiatric Disorders: A Systematic Review and Meta-Analysis

Vass, Á., Farkas, K., Lányi, O., Kói, T., Csukly, G., Réthelyi, J., & Baradits, M. (2025) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.04.001 · Cited by 19

The distinct disrupted plasticity in structural and functional network in mild stroke with basal ganglia region infarcts

Zhu, H., Zuo, L., Zhu, W., Jing, J., Zhang, Z., Ding, L., Wang, F., Cheng, J., Wu, Z., Wang, Y., et al. (2022) · Brain Imaging and Behavior · doi:10.1007/s11682-022-00689-8 · Cited by 20

Disentangling age‐ and disease‐related alterations in schizophrenia brain network using structural equation modeling: A graph theoretical study based on minimum spanning tree

Liu, X., Yang, H., Becker, B., Huang, X., Luo, C., Meng, C., & Biswal, B. B. (2021) · Human Brain Mapping · doi:10.1002/hbm.25403 · Cited by 19

A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis

Kang, E., Heo, D.-W., Lee, J., & Suk, H. (2023) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2023.3337074 · Cited by 17

Predisposing Variations in Fear-Related Brain Networks Prospectively Predict Fearful Feelings during the 2019 Coronavirus (COVID-19) Pandemic

Feng, P., Chen, Z., Becker, B., Liu, X., Zhou, F., He, Q., Qiu, J., Lei, X., Chen, H., & Feng, T. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab232 · Cited by 18

Genotypic effects of APOE -ε4 on resting-state connectivity in cognitively intact individuals support functional brain compensation

Cacciaglia, R., Operto, G., Falcón, C., Gónzalez‐de‐Echávarri, J. M., Sánchez‐Benavides, G., Brugulat‐Serrat, A., Milà‐Alomà, M., Blennow, K., Zetterberg, H., Molinuevo, J. L., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac239 · Cited by 19

Comparative survey of multigraph integration methods for holistic brain connectivity mapping

Chaari, N., Akdağ, H. C., & Rekik, I. (2023) · Medical Image Analysis · doi:10.1016/j.media.2023.102741 · Cited by 18

Shared and distinct structural brain networks related to childhood maltreatment and social support: connectome-based predictive modeling

Winter, A., Gruber, M., Thiel, K., Flinkenflügel, K., Meinert, S., Goltermann, J., Winter, N. R., Borgers, T., Stein, F., Jansen, A., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02252-3 · Cited by 17

Altered properties of brain white matter structural networks in patients with nasopharyngeal carcinoma after radiotherapy

Chen, Q., Lv, X., Zhang, S., Lin, J., Song, J., Cao, B., Weng, Y., Li, L., & Huang, R. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00224-2 · Cited by 15

Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph

Bessadok, A., Mahjoub, M. A., & Rekik, I. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59728-3_54 · Cited by 16

Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment

Douw, L., Reijneveld, J. C., & Mandal, A. S. (2025) · Nature Reviews Neurology · doi:10.1038/s41582-025-01171-x · Cited by 18

Common and differential connectivity profiles of deep brain stimulation and capsulotomy in refractory obsessive-compulsive disorder

Chen, X., Wang, Z., Lv, Q., Lv, Q., van Wingen, G. A., Fridgeirsson, E. A., Denys, D. A. J. P., Voon, V., & Wang, Z. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01358-w · Cited by 16

Altered brain functional connectivity in vegetative state and minimally conscious state

Yang, Y., Dai, Y., He, Q., Wang, S., Chen, X., Geng, X., He, J., & Duan, F. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1213904 · Cited by 15

Grey and white matter network disruption is associated with sensory deficits after stroke

Kessner, S. S., Schlemm, E., Gerloff, C. P., Thomalla, G., & Cheng, B. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102698 · Cited by 15

Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup

Alonso, S., Marsman, J.-B. C., Kringelbach, M. L., Deco, G., & Horst, G. J. T. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102299 · Cited by 15

Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review

Chan, Y. H., Girish, D., Gupta, S., Xia, J., Kasi, C., He, Y., Wang, C., & Rajapakse, J. C. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121422 · Cited by 17

Polyconnectomic Scoring of Functional Connectivity Patterns Across Eight Neuropsychiatric and Three Neurodegenerative Disorders

Libedinsky, I., Helwegen, K., Boonstra, J. T., Simón, L. G., Gruber, M., Repple, J., Kircher, T. T. J., Dannlowski, U., & van den Heuvel, M. P. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.10.007 · Cited by 14

Connectome-Based Predictive Modeling of PTSD Development Among Recent Trauma Survivors

Ben‐Zion, Z., Simon, A. J., Rosenblatt, M., Korem, N., Duek, O. A., Liberzon, I., Shalev, A. Y., Hendler, T., Levy, I., Harpaz‐Rotem, I., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.0331 · Cited by 14

Interpreting the Entire Connectivity of Individual Neurons in Micropatterned Neural Culture With an Integrated Connectome Analyzer of a Neuronal Network (iCANN)

Kim, J. H., Ryu, J. R., Lee, B., Chae, U., Son, J. W., Park, B. H., Cho, I., & Sun, W. (2021) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2021.746057 · Cited by 14

Template-based graph registration network for boosting the diagnosis of brain connectivity disorders

Gürler, Z., Gharsallaoui, M. A., & Rekik, I. (2022) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2022.102140 · Cited by 13

Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping

Mhiri, I., Nebli, A., Mahjoub, M. A., & Rekik, I. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-78191-0_16 · Cited by 14

Reconnecting Brain Networks After Stroke: A Scoping Review of Conventional, Neuromodulatory, and Feedback-Driven Rehabilitation Approaches

Kuipers, J. A., Hoffman, N., Carrick, F. R., & Jemni, M. (2025) · Brain Sciences · doi:10.3390/brainsci15111217 · Cited by 16

Neural correlates of sequence learning in children with developmental dyslexia

Hedenius, M., & Persson, J. (2022) · Human Brain Mapping · doi:10.1002/hbm.25868 · Cited by 13

Alterations in Dynamic Functional Connectivity in Patients with Cerebral Small Vessel Disease

Chen, F., Chen, Q., Zhu, Y., Long, C., Lu, J., Jiang, Y., Zhang, X., & Zhang, B. (2023) · Translational Stroke Research · doi:10.1007/s12975-023-01148-2 · Cited by 13

Out of the core: the impact of focal ischemia in regions beyond the penumbra

Koukalova, L., Chmelová, M., Amlerova, Z., & Vargová, L. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1336886 · Cited by 15

Cost-efficiency trade-offs of the human brain network revealed by a multiobjective evolutionary algorithm

Ma, J., Zhang, J., Lin, Y., & Dai, Z. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118040 · Cited by 12

Percolation Analysis of Brain Structural Network

Guo, S. X., Chen, X., Liu, Y., Kang, R., Liu, T., & Li, D. (2021) · Frontiers in Physics · doi:10.3389/fphy.2021.698077 · Cited by 11

Subthalamic and pallidal stimulation in Parkinson's disease induce distinct brain topological reconstruction

Chu, C., He, N., Zeljic, K., Zhang, Z., Wang, J., Li, J., Liu, Y., Zhang, Y., Sun, B., Li, D., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119196 · Cited by 12

GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes

Isallari, M., & Rekik, I. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59861-7_15 · Cited by 13

Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory

Tekin, A., Nebli, A., & Rekik, I. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87722-4_17 · Cited by 12

Alternations and Applications of the Structural and Functional Connectome in Gliomas: A Mini-Review

Chen, Z., Ye, N., Teng, C., & Li, X. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.856808 · Cited by 13

Identification of Young High-Functioning Autism Individuals Based on Functional Connectome Using Graph Isomorphism Network: A Pilot Study

Yang, S.-H., Jin, D.-Z., Liu, J., & He, Y. (2022) · Brain Sciences · doi:10.3390/brainsci12070883 · Cited by 12

Quantifying the reproducibility of graph neural networks using multigraph data representation

Nebli, A., Gharsallaoui, M. A., Gürler, Z., & Rekik, I. (2022) · Neural Networks · doi:10.1016/j.neunet.2022.01.018 · Cited by 17

Mapping the white-matter functional connectome: a personal perspective

Li, J., Chen, H., & Liao, W. (2025) · Psychoradiology · doi:10.1093/psyrad/kkaf028 · Cited by 12

Delineating disorder-general and disorder-specific dimensions of psychopathology from functional brain networks in a developmental clinical sample

Voldsbekk, I., Kjelkenes, R., Dahl, A., Holm, M. C., Lund, M. J., Kaufmann, T., Tamnes, C. K., Andreassen, O. A., Westlye, L. T., & Alnæs, D. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101271 · Cited by 14

White Matter Tract Integrity Is Reduced in Depression and in Individuals With Genetic Liability to Depression

Nothdurfter, D., Jawinski, P., & Markett, S. A. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.11.028 · Cited by 11

Big connectome imaging data in psychiatric disorders

Xia, M., Sun, X., Bu, X., Li, Q., & Yong He, A. (2024) · Medicine Plus · doi:10.1016/j.medp.2024.100038 · Cited by 11

Inference of monosynaptic connections from parallel spike trains: A review

Kobayashi, R., & Shinomoto, S. (2024) · Neuroscience Research · doi:10.1016/j.neures.2024.07.006 · Cited by 11

Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification

Banka, A., Buzi, I., & Rekik, I. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59354-4_10 · Cited by 12

Manifesto for an ECNP Neuromodulation Thematic Working Group (TWG): Non-invasive brain stimulation as a new Super-subspecialty

Pallanti, S., Marras, A. M., Dickson, S. L., Adan, R. A. H., Vieta, E., Osso, B. D., Arango, C., Fusar‐Poli, P., Soriano‐Mas, C., Carmi, L., et al. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2021.07.002 · Cited by 13

What kind of network is the brain?

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Trade-offs among cost, integration, and segregation in the human connectome

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