Modular Brain Networks

The Elements of Statistical Learning

Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970

Fast unfolding of communities in large networks

Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/10/p10008 · Cited by 21,424

Community structure in social and biological networks

Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502

Finding and evaluating community structure in networks

Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931

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

Complex network measures of brain connectivity: Uses and interpretations

Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522

Community detection in graphs

Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293

The organization of the human cerebral cortex estimated by intrinsic functional connectivity

Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182

Distributed hierarchical processing in the primate cerebral cortex

Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783

The Modularity of Mind

Fodor, J. A. (1983) · doi:10.7551/mitpress/4737.001.0001 · Cited by 7,734

A weighted generative model of the human connectome

Akarca, D., Schiavi, S., Achterberg, J., Genc, S., Jones, D. K., & Astle, D. E. (2023) · Conference on Cognitive Computational Neuroscience (CCN) · doi:10.32470/ccn.2023.1091-0 · Cited by 18

Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI

Wang, Q., Wu, M., Fang, Y., Wang, W., Qiao, L., & Liu, M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43907-0_5 · Cited by 16

Engineered modular neuronal networks-on-chip represent structure-function relationship

Habibey, R., Striebel, J., Meinert, M., Latiftikhereshki, R., Schmieder, F., Nasiri, R., & Latifi, S. (2024) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2024.116518 · Cited by 15

Hierarchical communities in the larval Drosophila connectome: Links to cellular annotations and network topology

Betzel, R. F., Puxeddu, M. G., & Seguin, C. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2320177121 · Cited by 17

Group-common and individual-specific effects of structure–function coupling in human brain networks with graph neural networks

Chen, P., Yang, H., Zheng, X., Jia, H., Hao, J., Xu, X., Li, C., He, X., Chen, R., Okubo, T. S., et al. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00378 · Cited by 15

A Novel Synchronization-Based Approach for Functional Connectivity Analysis

Lombardi, A., Tangaro, S., Bellotti, R., Bertolino, A., Blasi, G., Pergola, G., Taurisano, P., & Guaragnella, C. (2017) · Complexity · doi:10.1155/2017/7190758 · Cited by 15

Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment

Zhang, H., Giannakopoulos, P., Haller, S., Lee, S., Qiu, S., & Shen, D. G. (2019) · Neuroinformatics · doi:10.1007/s12021-018-9413-x · Cited by 16

Mapping the community structure of the rat cerebral cortex with weighted stochastic block modeling

Faskowitz, J., & Sporns, O. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01984-9 · Cited by 15

A.R. Luria's contribution to studies of the brain organization of language

Ardila, A., Akhutina, T. V., & Mikadze, Y. V. (2020) · Neurology neuropsychiatry Psychosomatics · doi:10.14412/2074-2711-2020-1-4-12 · Cited by 15

Adaptive Reconfiguration of Intrinsic Community Structure in Children with 5-Year Abacus Training.

Zhang, Y., Wang, C., Yao, Y., Zhou, C.-S., & Chen, F. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab010 · Cited by 15

Network Neuroscience Methods for Studying Intelligence

Hilger, K., & Sporns, O. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108635462.004 · Cited by 14

Negative symptoms are associated with modularity and thalamic connectivity in schizophrenia

Bayrakçı, A., Zorlu, N., Karakılıç, M., Gülyüksel, F., Yalınçetin, B., Oral, E., Gelal, F. M., & Bora, E. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01433-5 · Cited by 16

MRI and Clinical Biomarkers Overlap between Glaucoma and Alzheimer’s Disease

Martucci, A., Giuliano, F. D., Minosse, S., Pocobelli, G., Nucci, C., & Garaci, F. G. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914932 · Cited by 17

Heterogeneous Aging Effects on Functional Connectivity in Different Cortical Regions: A Resting-State Functional MRI Study Using Functional Data Analysis

Chen, P., Chiou, J., Yang, Y.-F., Chen, Y., Hsieh, H.-L., Chang, Y., & Tseng, W. I. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162028 · Cited by 15

Temporal non-local means filtering for studies of intrinsic brain connectivity from individual resting fMRI

Li, J., Choi, S., Joshi, A. A., Wisnowski, J. L., & Leahy, R. M. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101635 · Cited by 14

Static and dynamic aspects of cerebro-cerebellar functional connectivity are associated with self-reported measures of impulsivity: A resting-state fMRI study

Abdallah, M., Farrugia, N., Chirokoff, V., & Chanraud, S. (2020) · Network Neuroscience · doi:10.1162/netn_a_00149 · Cited by 16

Improving Functional Connectome Fingerprinting with Degree-Normalization

Chiêm, B., Abbas, K., Amico, E., Duong-Tran, D. A., Crevecoeur, F., & Goñi, J. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0968 · Cited by 14

The longitudinal neural dynamics changes of whole brain connectome during natural recovery from poststroke aphasia

Fan, L., Li, C., Huang, Z., Zhao, J., Wu, X., Liu, T., Li, Y., & Wang, J. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103190 · Cited by 14

Early development of the functional brain network in newborns

Nazari, R., & Salehi, M. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02681-4 · Cited by 16

High-level cognition is supported by information-rich but compressible brain activity patterns

Owen, L. L. W., & Manning, J. R. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2400082121 · Cited by 14

Structural and genetic determinants of zebrafish functional brain networks

Légaré, A., Lemieux, M., Boily, V., Poulin, S., Légaré, A., Desrosiers, P., & Koninck, P. D. (2025) · Science Advances · doi:10.1126/sciadv.adv7576 · Cited by 15

Hammering that Nail: Varied Praxis Motor Skills in Younger Autistic Children

Crucitti, J., Hyde, C. E., & Stokes, M. A. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04136-4 · Cited by 15

Computerized physical and cognitive training improves the functional architecture of the brain in adults with Down syndrome: A network science EEG study

Anagnostopoulou, A., Styliadis, C., Kartsidis, P. E., Romanopoulou, E. D., Zilidou, V. I., Karali, C., Karagianni, M. A., Klados, M. A., Paraskevopoulos, E., & Bamidis, P. D. (2021) · Network Neuroscience · doi:10.1162/netn_a_00177 · Cited by 15

Galvanic Vestibular Stimulation Improves Subnetwork Interactions in Parkinson’s Disease

Liu, A., Bi, H., Li, Y., Lee, S., Cai, J., Mi, T., Garg, S., Kim, J. L., Zhu, M., Chen, X., et al. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/6632394 · Cited by 14

Temporal stability of the ventral attention network and general cognition along the Alzheimer’s disease spectrum

Chumin, E. J., Risacher, S. L., West, J. D., Apostolova, L. G., Farlow, M. R., McDonald, B. C., Wu, Y., Saykin, A. J., & Sporns, O. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102726 · Cited by 14

Spatiotemporal topological correspondence between blood oxygenation and glucose metabolism revealed by simultaneous fPET-fMRI in brain’s white matter

Li, J., Wu, G., Shi, M., Xia, J., Meng, Y., Yang, S., Chen, H., & Liao, W. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad201 · Cited by 14

Evolution, immunity and the emergence of brain superautoantigens

Nataf, S. (2017) · F1000Research · doi:10.12688/f1000research.10950.1 · Cited by 13

Drawing Inspiration from Human Brain Networks: Construction of Interconnected Virtual Networks

Murakami, M., Kominami, D., Leibnitz, K., & Murata, M. (2018) · Sensors · doi:10.3390/s18041133 · Cited by 14

Comparison of Methods to Identify Modules in Noisy or Incomplete Brain Networks

Williams, N., Arnulfo, G., Wang, S. H., Nobili, L., Palva, S., & Palva, J. M. (2018) · Brain Connectivity · doi:10.1089/brain.2018.0603 · Cited by 12

Resting-state and vocabulary tasks distinctively inform on age-related differences in the functional brain connectome

Ferré, P., Benhajali, Y., Steffener, J., Stern, Y., Joanette, Y., & Bellec, P. (2019) · Language Cognition and Neuroscience · doi:10.1080/23273798.2019.1608072 · Cited by 14

Cognitive profiles and associated structural brain networks in a multimorbid sample of marginalized adults

Gicas, K. M., Jones, A. A., Panenka, W. J., Giesbrecht, C. J., Lang, D. J., Vila‐Rodriguez, F., Leonova, O., Barr, A. M., Procyshyn, R. M., Su, W., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218201 · Cited by 14

A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome

Yoo, K., Rosenberg, M. D., Kwon, Y. H., Scheinost, D., Constable, R. T., & Chun, M. M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119279 · Cited by 13

Modules in connectomes of phase-synchronization comprise anatomically contiguous, functionally related regions

Williams, N., Wang, S. H., Arnulfo, G., Nobili, L., Palva, S., & Palva, J. M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120036 · Cited by 14

Predicting modular functions and neural coding of behavior from a synaptic wiring diagramPreprint

Vishwanathan, A., Ramirez, A. D., Wu, J., Sood, A., Yang, R., Kemnitz, N., Ih, D., Turner, N. L., Lee, K., Tartavull, I., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.28.359620 · Cited by 14

Psychedelic Resting-state Neuroimaging: A Review and Perspective on Balancing Replication and Novel Analyses.Preprint

McCulloch, D., Knudsen, G., Barrett, F., Doss, M. K., Carhart-Harris, R. L., Rosas, F., Deco, G., Kringelbach, M., Preller, K., Ramaekers, J., et al. (2021) · Neuroscience and Biobehavioral Reviews · doi:10.31234/osf.io/64kyg · Cited by 106

Hallmarks of Brain Plasticity

Statsenko, Y. A., Kuznetsov, N. V., & Ljubisavljević, M. (2025) · Biomedicines · doi:10.3390/biomedicines13020460 · Cited by 19

Longitudinal manganese‐enhanced magnetic resonance imaging of neural projections and activity

Uselman, T. W., Medina, C. S., Gray, H. B., Jacobs, R. E., & Bearer, E. L. (2022) · NMR in Biomedicine · doi:10.1002/nbm.4675 · Cited by 14

Active Inference and Social Actors: Towards a Neuro-Bio-Social Theory of Brains and Bodies in Their Worlds

Cheadle, J. E., Davidson-Turner, K., & Goosby, B. J. (2024) · KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie · doi:10.1007/s11577-024-00936-4 · Cited by 14

Graph neural network with modular attention for identifying brain disorders

Si, W., Wang, G., Liu, L., Zhang, L., & Qiao, L. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107252 · Cited by 13

Spectral synchronicity in brain signals

Euán, C., Ombao, H., & Ortega, J. (2018) · Statistics in Medicine · doi:10.1002/sim.7695 · Cited by 13

Efficient communication dynamics on macro-connectome, and the propagation speed

Shimono, M., & Hatano, N. (2018) · Scientific Reports · doi:10.1038/s41598-018-20591-y · Cited by 12

Epileptic foci localization based on mapping the synchronization of dynamic brain network

Mei, T., Wei, X., Chen, Z., Tian, X., Dong, N., Li, D., & Zhou, Y. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0737-8 · Cited by 13

A comprehensive preclinical assessment of late-term imaging markers of radiation-induced brain injury

Tang, T. T., Zawaski, J. A., Kesler, S. R., Beamish, C. A., Reddick, W. E., Glass, J. O., Carney, D. H., Sabek, O. M., Grosshans, D. R., & Gaber, M. W. (2019) · Neuro-Oncology Advances · doi:10.1093/noajnl/vdz012 · Cited by 13

The Optimal Setting for Multilayer Modularity Optimization in Multilayer Brain Networks

Puxeddu, M. G., Petti, M., Mattia, D., & Astolfi, L. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8856674 · Cited by 13

Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI

Ting, C., Skipper, J. I., Noman, F. M., Small, S. L., & Ombao, H. (2021) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2021.3139428 · Cited by 13

Maladaptive brain organization at 1 month into abstinence as an indicator for future relapse in patients with alcohol use disorder

Muller, A. M., & Meyerhoff, D. J. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15161 · Cited by 17

Dynamic reconfiguration of human brain networks across altered states of consciousness

Liu, H., Hu, K., Peng, Y., Tian, X.-H., Wang, M., Ma, B., Wu, Y., Sun, W., Liu, B., Li, A., et al. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113685 · Cited by 14

Associations between repetitive negative thinking and resting-state network segregation among healthy middle-aged adults

Solé‐Padullés, C., Cattaneo, G., Marchant, N. L., Cabello‐Toscano, M. R., Mulet‐Pons, L., Sánchez, J. S., Bargalló, N., Tormos, J. M., Pascual‐Leone, Á., & Bartrés‐Faz, D. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1062887 · Cited by 14

Few temporally distributed brain connectivity states predict human cognitive abilities

Wehrheim, M. H., Faskowitz, J., Sporns, O., Fiebach, C. J., Kaschube, M., & Hilger, K. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120246 · Cited by 14

Morphological Brain Networks of White Matter: Mapping, Evaluation, Characterization, and Application

Li, J., Jin, S., Li, Z., Zeng, X., Yang, Y., Luo, Z., Xu, X., Cui, Z., Liu, Y., & Wang, J. (2024) · Advanced Science · doi:10.1002/advs.202400061 · Cited by 13

Modular topology emerges from plasticity in a minimalistic excitable network model

Damicelli, F., Hilgetag, C. C., Hütt, M. ‐., & Messé, A. (2017) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4979561 · Cited by 12

Contextual and Developmental Differences in the Neural Architecture of Cognitive Control

Petrican, R., & Grady, C. L. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0667-17.2017 · Cited by 14

Design of a self-organizing reciprocal modular neural network for nonlinear system modeling

Li, W., Li, M., Zhang, J., & Qiao, J. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.06.056 · Cited by 13

Topological reorganization of brain functional networks in patients with mitochondrial encephalomyopathy with lactic acidosis and stroke‐like episodes

Wang, R., Lin, J., Sun, C., Hu, B., Liu, X., Geng, D., Li, Y., & Yang, L. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102480 · Cited by 13

The impact of graph construction scheme and community detection algorithm on the repeatability of community and hub identification in structural brain networks

Dimitriadis, S. I., Messaritaki, E., & Jones, D. K. (2021) · Human Brain Mapping · doi:10.1002/hbm.25545 · Cited by 13

Dysfunctional brain network organization in neurodevelopmental disorders

Henry, T. R., & Cohen, J. R. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813838-0.00005-4 · Cited by 15

Case Studies in Network Community Detection

Shai, S., Stanley, N., Granell, C., Taylor, D., & Mucha, P. J. (2020) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190251765.013.16 · Cited by 21

Small-World Brain Networks RevisitedPreprint

Bassett, D. S., & Bullmore, E. T. (2016) · arXiv (Cornell University) · doi:10.17863/cam.4889 · Cited by 13

The human brain's network architecture is genetically encoded by modular pleiotropyPreprint

Bertolero, M. A., Blevins, A. S., Baum, G. L., Gur, R. C., Gur, R. E., Roalf, D. R., Satterthwaite, T. D., & Bassett, D. S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.07606 · Cited by 14

On the importance of being flexible: dynamic brain networks and their potential functional significancesPreprint

Safron, A., Klimaj, V., & Hipólito, I. (2021) · doi:10.31234/osf.io/x734w · Cited by 13

Open datasets and code for multi-scale relations on structure, function and neuro-genetics in the human brain

Jiménez-Marín, A., Diez, I. P., Erramuzpe, A., Stramaglia, S., Bonifazi, P., & Cortés, J. M. (2024) · Scientific Data · doi:10.1038/s41597-024-03060-2 · Cited by 13

Brain glucodynamic variability is an essential feature of the metabolism–cognition relationship

Deery, H. A., Liang, E. X., Moran, C., Egan, G. F., & Jamadar, S. D. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2510850123 · Cited by 11

Comparison of Cross-Correlation and Joint-Recurrence Quantification Analysis Based Methods for Estimating Coupling Strength in Non-linear Systems

Tolston, M. T., Funke, G. J., & Shockley, K. D. (2020) · Frontiers in Applied Mathematics and Statistics · doi:10.3389/fams.2020.00001 · Cited by 12

Regularized spectral clustering under the mixed membership stochastic block model

Qing, H., & Wang, J. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126490 · Cited by 12

Spatiotemporal motor learning with reward-modulated Hebbian plasticity in modular reservoir computing

Kawai, Y., & Asada, M. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126740 · Cited by 13

Resting-state EEG dynamics help explain differences in response control in ADHD: Insight into electrophysiological mechanisms and sex differences

Kember, J., Stepien, L., Panda, E., & Tekok-Kılıç, A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0277382 · Cited by 12

Sequentially activated discrete modules appear as traveling waves in neuronal measurements with limited spatiotemporal sampling

Orsher, Y., Rom, A., Perel, R., Lahini, Y., Blinder, P., & Idelson, M. S. (2023) · eLife · doi:10.7554/elife.92254 · Cited by 23

A systematic review of altered resting‐state networks in early deafness and implications for cochlear implantation outcomes

Jafari, Z., Kolb, B. E., & Mohajerani, M. H. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16295 · Cited by 14

Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains

Donner, C., Bartram, J., Hornauer, P., Kim, T., Roqueiro, D., Hierlemann, A. R., Obozinski, G., & Schröter, M. S. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011964 · Cited by 11

Catalyst for change: Psilocybin’s antidepressant mechanisms—A systematic review

Liebnau, J., Betzler, F., & Kerber, A. (2025) · Journal of Psychopharmacology · doi:10.1177/02698811241312866 · Cited by 13

Depthwise cortical iron relates to functional connectivity and fluid cognition in healthy aging

Merenstein, J. L., Zhao, J., & Madden, D. J. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.01.006 · Cited by 12

Entrainment by transcranial alternating current stimulation: Insights from models of cortical oscillations and dynamical systems theory

Asl, M. M., & Valizadeh, A. (2025) · Physics of Life Reviews · doi:10.1016/j.plrev.2025.03.008 · Cited by 14

Graph coarse‐graining reveals differences in the module‐level structure of functional brain networks

Kujala, R., Glerean, E., Pan, R. K., Jääskeläinen, I. P., Sams, M. E., & Saramäki, J. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13392 · Cited by 12

ANOCVA in R: A Software to Compare Clusters between Groups and Its Application to the Study of Autism Spectrum Disorder

Vidal, M. C., Sato, J. R., Balardin, J. B., Takahashi, D. Y., & Fujita, A. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00016 · Cited by 12

Modular architecture of metabolic brain network and its effects on the spread of perturbation impact

Zhang, T., Huang, Q., Jiao, C., Liu, H., Nie, B., Liang, S., Li, P., Sun, X., Feng, T., Xu, L., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.003 · Cited by 13

Brain Network Disruption in Whiplash

Higgins, J. P., Elliott, J. M., & Parrish, T. B. (2020) · American Journal of Neuroradiology · doi:10.3174/ajnr.a6569 · Cited by 13

Trait and state alterations in excitatory connectivity between subgenual anterior cingulate cortex and cerebellum in patients with current and remitted depression

Ji, S., Liu, B., Li, Y., Chen, N., Fu, Y., Shi, J., Zhao, Z., Yao, Z., & Hu, B. (2021) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2021.111356 · Cited by 12

Nodal Memberships to Communities of Functional Brain Networks Reveal Functional Flexibility and Individualized Connectome

Zhu, H., Jin, W., Zhou, J., Tong, S., Xu, X.-K., & Sun, J. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab144 · Cited by 12

Cognitive and Imaging Differences After Proton and Photon Whole Brain Irradiation in a Preclinical Model

Tang, T. T., Zawaski, J. A., Kesler, S. R., Beamish, C. A., Inoue, T., Perez, E. C., Bronk, L. F., Poenisch, F., Briere, T. M., Sabek, O. M., et al. (2021) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2021.09.005 · Cited by 12

The levels of cognitive engagement of lesson tasks designed by teacher education students and their use of knowledge of self-regulated learning in explanations for task design

Lawson, M. J., Deur, P. V., Scott, W., Stephenson, H., Kang, S. H. K., Wyra, M., Darmawan, I. G. N., Vosniadou, S., Murdoch, C., White, E., et al. (2023) · Teaching and Teacher Education · doi:10.1016/j.tate.2023.104043 · Cited by 23

Statistical models of complex brain networks: a maximum entropy approach

Dichio, V., & Fallani, F. D. V. (2023) · Reports on Progress in Physics · doi:10.1088/1361-6633/ace6bc · Cited by 15

Multiple neuron clusters on Micro-Electrode Arrays as an in vitro model of brain network

Brofiga, M., Losacco, S., Poggio, F., Zerbo, R. A., Milanese, M., Massobrio, P., & Burlando, B. (2023) · Scientific Reports · doi:10.1038/s41598-023-42168-0 · Cited by 12

Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity

Lee, H., Chung, M. K., Choi, H., Kang, H., Ha, S., Kim, Y. K., & Lee, D. S. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-10828-1_9 · Cited by 12

Intracortical Causal Information Flow of Oscillatory Activity (Effective Connectivity) at the Sleep Onset Transition

Guerrero, A. F., & Achermann, P. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00912 · Cited by 12

Functional differentiations in evolutionary reservoir computing networks

Yamaguti, Y., & Tsuda, I. (2021) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0019116 · Cited by 12

Exploring the Contribution of Thalamic and Hippocampal Input on Cortical Dynamics in a Brain-on-a-Chip Model

Brofiga, M., Pisano, M., Callegari, F., & Massobrio, P. (2021) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2021.3072234 · Cited by 12

Altered topographical organization of grey matter structural network in early-onset schizophrenia

Zhou, H., Shi, L., Shen, Y., Fang, Y.-M., He, Y., Li, H., Luo, X., Cheung, E. F. C., & Chan, R. C. K. (2021) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2021.111344 · Cited by 12

Age- and Episodic Memory-related Differences in Task-based Functional Connectivity in Women and Men

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