A cross-disorder connectome landscape of brain dysconnectivity

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

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

Insel, 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

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Mapping the structural core of human cerebral cortex

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The economy of brain network organization

Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284

The 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

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

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

Network neuroscience

Bassett, D. S., & Sporns, O. (2017) · Nature Neuroscience · doi:10.1038/nn.4502 · Cited by 2,398

Brain Connectivity Signature Extractions from TMS Invoked EEGs

Gupta, D., Du, X. M., Summerfelt, A. T., Hong, L. E., & Choa, F. (2023) · Sensors · doi:10.3390/s23084078 · Cited by 3

Diffusion-Based Graph Super-Resolution with Application to Connectomics

Rajadhyaksha, N., & Rekik, I. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-46005-0_9 · Cited by 3

Modeling brain network flexibility in networks of coupled oscillators: a feasibility study

Chinichian, N., Lindner, M., Yanchuk, S., Schwalger, T., Schöll, E., & Berner, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-55753-8 · Cited by 3

Alterations in Topological Structure and Modular Interactions in Pediatric Patients with Complete Spinal Cord Injury: A Functional Brain Network Study

Wang, Y., Wang, L., Yang, B., Xin, H., Qi, Q., Jia, Y., Guo, X., Zheng, W., Chen, X., Fang, L., et al. (2025) · Journal of Neurotrauma · doi:10.1089/neu.2024.0560 · Cited by 3

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification

Chen, M., Yu, X., Zhang, J., Chen, T., Cao, C., Zhuang, Y., Lyu, Y., Zhang, L., Liu, T., & Zhu, D. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-05162-2_23 · Cited by 3

A narrative review of ablative neurosurgery in refractory mental disorders

Whitehead, T., & Alvaro Barrera, P. (2022) · BJPsych Advances · doi:10.1192/bja.2022.51 · Cited by 3

Postoperative MRI Applications in Patients with DBS

Germann, J., Gouveia, F. V., Wong, E. H. Y., & Horn, A. (2022) · Springer eBooks · doi:10.1007/978-3-031-16348-7_6 · Cited by 2

Letter: Elucidating the Principles of Brain Network Organization Through Neurosurgery

Poologaindran, A., John Suckling, A., & Sughrue, M. E. (2020) · Neurosurgery · doi:10.1093/neuros/nyaa094 · Cited by 3

Patterns of neurodegeneration in dementia reflect a global functional state spacePreprint

Jones, D. T., Lowe, V. J., Graff-Radford, J., Botha, H., Wiepert, D. A., Murphy, M. C., Murray, M. E., Senjem, M. L., Gunter, J. L., Wiste, H. J., et al. (2020) · medRxiv · doi:10.1101/2020.11.09.20228676 · Cited by 3

Transdiagnostic neuroimaging markers of psychiatric risk: a narrative reviewPreprint

Vanes, L. D., & Dolan, R. J. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/qwjhc · Cited by 5

Identification of a diagnosis-selective neurobiological substrate for bipolar disorder, major depressive disorder, and schizophrenia: A meta-analysis of 57,717 subjects

Liloia, D., Rocca, P., Brasso, C., Tanaka, M., Manuello, J., Crocetta, A., Duca, S., Costa, T., & Cauda, F. (2026) · Psychological Medicine · doi:10.1017/s0033291726103511 · Cited by 4

Connectome embedding in multidimensional graph spaces

Mach, M., Amico, E., Liégeois, R., Preti, M. G., Griffa, A., Ville, D. V. D., & Pedersen, M. (2024) · Network Neuroscience · doi:10.1162/netn_a_00393 · Cited by 2

Mendelian Randomization Analysis of the Relationship between Neurotransmitter-related Genes and Cancer: Insights from Multi-omics Data

Yuan, Q., Xi, Y., Yu, H., Ye, R., Wang, N., Yu, G., & Niu, M. (2026) · Current Topics in Medicinal Chemistry · doi:10.2174/0115680266436608260406113212 · Cited by 2

A brain health framework with application to the study of neurodegeneration

Duchesne, S., Potvin, O., Hudon, C., & Bocti, C. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251364867 · Cited by 2

Altered putamen connectivity in patients with neurological post-COVID condition

Schlenker, L. S., Hartung, T. J., Klabunn, P., Schwichtenberg, K., Heine, J., Adam, L. C., Franke, C., & Finke, C. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf291 · Cited by 2

An integrated computational approach for diversity-sensitive personalized medicine

Coronel‐Oliveros, C., Gatica, M., Herzog, R. A., & Neri, M. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.08.019 · Cited by 3

Structural connectomic signatures of childhood maltreatment across affective and psychotic disorders

Bonnekoh, L. M., Gruber, M., Thams, C., Flinkenflügel, K., Meinert, S., Goltermann, J., Grotegerd, D., Hubbert, J. M., Krieger, J., Jurischka, C., et al. (2025) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2025.09.009 · Cited by 2

Spatial Metabolic Covariance Networks in Progressive Supranuclear Palsy: Implications for Symptomatology and Their Neural Basis

Wang, B., Wang, H., Kang, Y., Wu, S., Jin, N., Wang, H., Cen, Z., Yang, D., Chen, X., Dou, X., et al. (2025) · Movement Disorders · doi:10.1002/mds.70099 · Cited by 2

Neurogenic organ dysfunction syndrome after acute brain injury

Zhang, H., Chen, W., Chao, Y., Su, N., Robba, C., Czosnyka, M., Smielewski, P. S., Czosnyka, Z. H., He, W. W., Hu, X., et al. (2025) · Military Medical Research · doi:10.1186/s40779-025-00662-8 · Cited by 2

Multi-modal dynamic brain graph representation learning for brain disorder diagnosis via temporal sequence model

Lang, J., Yang, L.-Z., & Li, H. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.131509 · Cited by 2

Network-based analysis of differential white matter connectivity in major depressive disorder with and without comorbid anxiety

Gruber, M., Schulte, J., Mauritz, M., Ahrens, K. F., Rehm, P., von Werthern, N. M., Staub, H., Fischer, S., Timm, F., Libedinsky, I., et al. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-025-02312-y · Cited by 2

Energy inefficiency underpinning brain state dysregulation in individuals with major depressive disorder

Liu, Q., Xiong, H., Shi, W., Di, S., Cheng, X., Liu, N., Luo, N., Zhang, Y., & Jiang, T. (2026) · Nature Mental Health · doi:10.1038/s44220-025-00583-4 · Cited by 3

Hierarchical neurocognitive model of externalizing and internalizing comorbidity

Xie, C., Xiang, S., Zheng, Y., Shen, C., Li, Y., Cheng, W., Vaidya, N., Zhang, Z., Robinson, L., Winterer, J. M., et al. (2026) · Nature Mental Health · doi:10.1038/s44220-025-00577-2 · Cited by 2

Brain multigraph prediction using topology-aware adversarial graph neural network

Bessadok, A., Mahjoub, M. A., & Rekik, I. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102090 · Cited by 2

A personalized cortical atlas for functional regions of interest

Molloy, M. F., & Osher, D. E. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00108.2023 · Cited by 2

Multiscale characterization of cortical signatures in positive and negative schizotypy: a worldwide ENIGMA study

Kirschner, M., Hodzic-Santor, B. H., Kennedy, L., Hansen, J. Y., Antoniades, M., Nenadić, I., Kircher, T. T. J., Krug, A., Meller, T., Dannlowski, U., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03547-x · Cited by 3

Chronic cannabis use associated with subcortical topological reorganization of structural connectivity in adults

Bell, R. P., Cohen, J. R., Towe, S., Gadde, S., Al‐Khalil, K., Costello, A., Song, A. W., & Meade, C. S. (2024) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2024.111405 · Cited by 2

Hub disruption in HIV disease and cocaine use: A connectomics analysis of brain function

Al‐Khalil, K., Bell, R. P., Towe, S. L., Cohen, J. R., Gadde, S., Mu, J., Hall, S. A., & Meade, C. S. (2024) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2024.112416 · Cited by 2

DynGNN: Dynamic Memory-Enhanced Generative GNNs for Predicting Temporal Brain Connectivity

Xiao, S., & Rekik, I. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-74561-4_10 · Cited by 2

Patients with dementia with Lewy bodies display a signature alteration of their cognitive connectome

Yánez-Pérez, R., García-Cabello, E., Habich, A., Cedrés, N., Diaz‐Galvan, P., Ruiz, C. A., Toledo, J. B., Barroso, J., & Ferreira, D. (2025) · Scientific Reports · doi:10.1038/s41598-024-84946-4 · Cited by 2

Altered Connectome Topology in Newborns at Risk for Cognitive Developmental Delay: A Cross‐Etiologic Study

Speckert, A., Payette, K., Knirsch, W., von Rhein, M., Grehten, P., Kottke, R., Hagmann, C. F., Natalucci, G., Moehrlen, U., Mazzone, L., et al. (2025) · Human Brain Mapping · doi:10.1002/hbm.70084 · Cited by 4

Cortical structural degeneration and functional network connectivity changes in patients with subcortical vascular cognitive impairment

Mao, H., Shi, Y., Gao, Q., Xu, M., Hu, X., Wang, F., & Fang, X. (2025) · Neuroradiology · doi:10.1007/s00234-025-03550-z · Cited by 2

Regional, but not brain-wide, graph theoretic measures are robustly and reproducibly linked to general cognitive ability

Molloy, M. F., Taxali, A., Angstadt, M., Greathouse, T., Toda-Thorne, K., McCurry, K. L., Weigard, A. S., Kardan, O., Burchell, L., Dziubinski, M., et al. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf074 · Cited by 2

Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling

Sağlam, M., & Rekik, I. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60365-6_14 · Cited by 2

Multilevel Neuron Model Construction Related to Structural Brain Changes Using Hypergraph

Ramanathan, S., & Ramasundaram, M. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-6353-9_19 · Cited by 2

Functional and Effective Connectivity Characterization of Absence Seizures

Tenorio, V. S. G. M., de Assis, J. M., & de Assis, F. (2020) · International Conference on Systems, Signals and Image Processing · doi:10.1109/iwssip48289.2020.9145352 · Cited by 2

Human connectome research and speech disorders

Kemstach, V. V., Игоревна, Б. С., & Sakovskiy, I. V. (2020) · Psychology in Education · doi:10.33910/2686-9527-2020-2-2-182-187 · Cited by 2

Topological alterations in older adults with temporal lobe epilepsy are distinct from amnestic mild cognitive impairment

Kaestner, E. J., Reyes, A., Wang, Z. I., Drane, D. L., Punia, V., Hermann, B. P., Busch, R. M., McDonald, C. R., & Initiative, A. D. N. (2020) · Epilepsia · doi:10.1111/epi.16703 · Cited by 2

Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot Classification

Pala, F., & Rekik, I. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-16919-9_18 · Cited by 2

Modeling psychopathology: 4D multiplexes to the rescue

Kästner, L. (2022) · Synthese · doi:10.1007/s11229-022-04008-y · Cited by 5

Tinnitus and the Somatosensory System

Møller, A. R., & Ridder, D. D. (2024) · Springer eBooks · doi:10.1007/978-3-031-35647-6_12 · Cited by 2

Reproducible functional connectivity endophenotype confers high risk of ASD diagnosis in a subset of individualsPreprint

Urchs, S. G. W., Nguyen, H. D., Moreau, C. A., Dansereau, C. L., Tam, A., Evans, A. C., & Bellec, P. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.01.127688 · Cited by 1

Differential impact of transdiagnostic, dimensional psychopathology on multiple scales of functional connectivityPreprint

Seok, D., Beer, J. C., Jaskir, M., Smyk, N. J., Jaganjac, A., Makhoul, W., Cook, P. A., Elliott, M. A., Shinohara, R. T., & Sheline, Y. I. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.05.434151 · Cited by 2

Individual Variability in the Innate Functional Organization of the Human BrainPreprint

Molloy, M. F., & Saygin, Z. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.24.436788 · Cited by 2

Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain DataPreprint

Gharsallaoui, M. A., & Rekik, I. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.02248 · Cited by 2

Functional Reorganization across Four Episodes in Bipolar DisorderPreprint

Liu, X., Wan, B., Zhang, X.-H., Cui, R., Long, S., Ge, R., Liu, L., Xiao, J., Liu, Z.-Q., Yan, J., et al. (2024) · medRxiv · doi:10.1101/2024.09.03.24312957 · Cited by 2

Potential of focal cortical dysplasia in migraine pathogenesis

Fila, M., Przysło, Ł., Derwich, M., Pawlowska, E., & Błasiak, J. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae158 · Cited by 1

Exploring dynamic hubs for face perception in the brain: A graph theoretical measure approach

Gupta, S., & Gandhi, T. K. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.107863 · Cited by 1

Neural Dynamics Under Stress: Advanced Statistical Validation and Correlation of EEG-Based Time-Varying Effective Connectivity Features

Acharya, S., Khosravi, A., & Creighton, D. (2025) · IEEE International Conference on Digital Signal Processing (DSP) · doi:10.1109/dsp65409.2025.11075091 · Cited by 1

Atlas-independent brain connectome analysis at voxel-level granularity: graph convolutional networks for etiology classification in newborns

Speckert, A., Gianinazzi, L., Kollmorgen, S., Hagmann, C. F., Grehten, P., Kottke, R., Natalucci, G., Latal, B., Knirsch, W., Tuura, R., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121568 · Cited by 1

Early structural hub disruption leads to premature functional adaption in multiple sclerosis

Stellmann, J., Maarouf, A., Nicolescu, M., Boutière, C., Rico, A., Zaaraoui, W., Guye, M., Pelletier, J., Ranjeva, J., & Audoin, B. (2025) · Brain Structure and Function · doi:10.1007/s00429-025-03023-2 · Cited by 1

Divergence unveils further distinct phenotypic traits of human brain connectomics fingerprint

Uddin, M. K., Nguyen, N. H., Huang, H., Duong-Tran, D. A., & Zheng, J. (2025) · iScience · doi:10.1016/j.isci.2025.114282 · Cited by 1

From pairwise to higher-order brain community detection: A hypergraph signal processing approach on brain functional connectivity analysis

Bispo, B. C., Neto, J. R. D. O., Lima, J. B., & Santos, F. A. N. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111409 · Cited by 1

Hippocampal-prefrontal connectivity relates to inter-individual differences and training gains in distinguishing similar memories

Iliopoulos, P., Güsten, J., Molloy, E. N., Cichy, R. M., Krohn, F., Maass, A., & Düzel, E. (2025) · Communications Biology · doi:10.1038/s42003-025-09408-7 · Cited by 1

Decreased sleep is linked longitudinally and directionally to alterations in the brain’s intrinsic functional architecture

Molloy, M. F., Taxali, A., Angstadt, M., Toda-Thorne, K., McCurry, K. L., Weigard, A. S., Kardan, O., Lehrmann, C., Vens, J., Michael, C., et al. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101668 · Cited by 2

Transcranial photobiomodulation with near‐infrared laser induces analgesia in rats

Wang, Z., Wu, A., Liu, H., & Peng, Y. B. (2026) · The Journal of Physiology · doi:10.1113/jp289109 · Cited by 1

Advances on the application of the Human Brainnetome Atlas in obsessive-compulsive disorder

Chen, A., Chen, F., Zhang, C. Z., Li, R. N., Qian, L., Zhou, C., Wang, B., & Li, K. (2026) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2026.112149 · Cited by 1

Neural vulnerability to stress in adolescents: a longitudinal study using polyconnectomic scoring of depression risk

Liu, Y., Li, M., Chen, C., Wang, S., Gao, Y., Jing, Y., Zhou, Y., Xie, M., Zhang, C., Liu, Z., et al. (2026) · BMC Medicine · doi:10.1186/s12916-026-04704-3 · Cited by 2

Opening the black box of neural variability: From noise to mechanisms

Rentzeperis, I., Li, J., Bauer, R., & van Leeuwen, C. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106661 · Cited by 2

Cross-disorder brain morphological similarity in schizophrenia: Associations with symptom severity and treatment outcome

Wei, Y., Huang, Y., Cui, H., Xu, L., Wei, Y., Tang, X., Tang, Y., Hu, H., Zhang, T., Liu, Y., et al. (2026) · Schizophrenia Research · doi:10.1016/j.schres.2026.04.011 · Cited by 1

Functional connectivity disruptions and topological structure alterations centered around the sensorimotor network in disorders of consciousness: A functional near-infrared spectroscopy study

Wang, Y. Q., Yao, P., Liu, Y., Zou, L., Bai, Y., & Feng, Z. (2026) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2026.111934 · Cited by 1

A synthetic resilience framework for stabilizing dynamical neural networks in neurodegeneration

Nirmal, A. K., Dayalan, H., Ayyar, G., Nithiananthan, G., & Thiruvengadam, H. (2026) · Discover Neuroscience · doi:10.1186/s13064-026-00301-5 · Cited by 1

Neuroanatomical and Neurophysiological Underpinnings of Cognition and Behavior: Cerebral Networks and Intrinsic Brain Networks

Hoffmann, M. W. (2020) · Springer eBooks · doi:10.1007/978-3-030-46324-3_2 · Cited by 1

Tarihteki İlk İzleri ile Şizofreni

KARAGÜLLEOĞLU, Z. Y., & Çarhan, A. (2021) · Mersin Üniversitesi Tıp Fakültesi Lokman Hekim Tıp Tarihi ve Folklorik Tıp Dergisi · doi:10.31020/mutftd.872400 · Cited by 1

Measurement of Immunological Parameters to Assess Human Body Readiness for Physical Load

Myagkova, M. А., Orlova, E. A., Николаевна, П. С., Bobrova, Z. V., & Бачурин, С. О. (2021) · Bulletin of Experimental Biology and Medicine · doi:10.1007/s10517-021-05366-2 · Cited by 1

Discernible interindividual patterns of global efficiency decline during theoretical brain surgery

Lin, Y., Dadario, N. B., Tang, S. J., Crawford, L. S., Tanglay, O., Dow, H.-K., Young, I. M., Ahsan, S. A., Doyen, S., & Sughrue, M. E. (2024) · Scientific Reports · doi:10.1038/s41598-024-64845-4 · Cited by 1

Fibre Population-guided Pre-training for 3D Spatial Super-Resolution on Multimodal Brain Diffusion MR Imaging

Tang, Z., Wang, X.-Y., Cabezas, M., D'Souza, A., Barnett, M., Calamante, F., Cai, W., & Wang, C.-Y. (2024) · ACM Multimedia Asia · doi:10.1145/3696409.3700288 · Cited by 1

Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints

Gürler, Z., & Rekik, I. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-16919-9_1 · Cited by 1

Cultural cures for the disconnected mind

Gorelik, G. (2024) · Culture and Evolution · doi:10.1556/2055.2022.00021 · Cited by 1

Approaches to the Use of Graph Theory to Study the Human EEG in Health and Cerebral Pathology

Vigasina, K. D., Proshina, E. A., Gotovtsev, P. M., Sharova, E. V., Bordiug, V. A., Машеров, Е. Л., & Knyazev, G. G. (2023) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-023-01437-1 · Cited by 1

Preparing for a second attack: a lesion simulation study on network resilience after strokePreprint

van Assche, M., Klug, J., Dirren, E., Richiardi, J., & Carrera, E. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.21.461167 · Cited by 1

A Pipeline for a Primate Projectome: mapping every individual myelinated axon across the whole brainPreprint

Wildenberg, G. A., Boergens, K. M., Nikitin, V., Deriy, A. L., Carlo, F. D., Andrade, V. D., Xiao, X., & Kasthuri, N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.23.563679 · Cited by 1

Review of the Brain Behaviour after Injury and Disease for Its Application in an Agent Based Model (ABM)Preprint

Varela, L. I., Benítez, J. M., Montáns, F. J., & Saucedo‐Mora, L. (2023) · Preprints.org · doi:10.20944/preprints202312.0489.v1 · Cited by 1

Structure-Function Relationship in Electrical and Hemodynamic Brain Networks: Insights from EEG and fNIRS during Rest and Task StatesPreprint

Blanco, R., Preti, M. G., Koba, C., Ville, D. V. D., & Crimi, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.27.591444 · Cited by 1

Accurate and Interpretable Prediction of Antidepressant Treatment Response from Receptor-informed NeuroimagingPreprint

Tolle, H. M., Luppi, A. I., Lawn, T., Roseman, L., Nutt, D., Carhart-Harris, R. L., & Mediano, P. A. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.02.662710 · Cited by 1

Autism Mutations Preferentially Target Distributed Brain Circuits and Cell Types Associated with Sensory Integration and Decision MakingPreprint

Wang, J., Chang, J., Chiang, A. H., & Vitkup, D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.13.670113 · Cited by 1

Disrupted hierarchical organization in disorders of consciousness revealed by fluctuation-dissipation deviationsPreprint

Martínez-Marín, M., Vohryzek, J., Escrichs, A., Manasova, D., Sitt, J. D., Kringelbach, M. L., Perl, Y. S., & Deco, G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.02.679992 · Cited by 2

Unravelling the Parkinson’s disease network: Taking the connectome beyond the brain

Geraedts, V. J., van Hilten, J. J., Contarino, M. F., & Tannemaat, M. R. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.08.013

Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain ConnectivityPreprint

Isallari, M., & Rekik, I. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.00425

Prenatal Risk Factors, Developmental Outcomes, and the Human Brain in utero: Maternal BMI and Fetal Brain Functional Connectivity

Norr, M. E. (2020) · eScholarship (California Digital Library)

Connecting the dots: Structural and functional connections in healthy and diseased brain

Straathof, M. (2021) · Utrecht University Repository (Utrecht University) · doi:10.33540/877

Notes on Techniques

ten Donkelaar, H. J., Doorduin, J., Catani, M., & van den Heuvel, M. P. (2020) · Springer eBooks · doi:10.1007/978-3-030-41878-6_3

Editorial: Cross-disorder Genetics in Neuropsychiatry

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Structural brain abnormalities in bipolar disorder

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Psychiatric disorders

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DCP: a pipeline toolbox for diffusion connectomePreprint

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Cortical tracking of spoken and written language structures in (dys)fluent readers

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

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Evolution of Brain Networks

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Are human connectomes heritable?Preprint

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Machine learning classification of patients with major depressive disorder and healthy controls using magnetic resonance imaging data

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Quantifying brain connectivity signatures by means of polyconnectomic scoringPreprint

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Template-Based Federated Multiview Domain Alignment for Predicting Heterogeneous Brain Graph Evolution Trajectories from Baseline

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The Cognitive Connectome in Dementia with Lewy BodiesPreprint

Yánez-Pérez, R., García-Cabello, E., Habich, A., Cedrés, N., Diaz‐Galvan, P., Ruiz, C. A., Toledo, J. B., Barroso, J., & Ferreira, D. (2023) · medRxiv · doi:10.1101/2023.11.14.23298515

Biomarcadores moleculares e de neuroimagem em pacientes com comprometimento cognitivo leve

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Increased core-periphery connectivity in ticker-tape synesthetes

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Brain stimulation techniques

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Large-scale mechanism hypothesis and research prospects of cognitive impairment in schizophrenia based on magnetic resonance imaging

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Overview: Research on the Genetic Architecture of the Developing Cerebral Cortex in Norms and Diseases

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Below the surface

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Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders

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Meta-Connectomic Analysis Reveals Commonly Disrupted Functional Architectures in Network Modules and Connectors across Brain Disorders

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Towards network substrates of brain disorders

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Public health and the world economic crisis

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Opportunities and Challenges for Psychiatry in the Connectomic Era

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