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

Learning oriented physiotherapy (LOP) in anxiety and depression: an 18 months multicentre randomised controlled trial (RCT)

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

The hidden community architecture of human brain networks

Lee, B., Kang, U., Chang, H., & Cho, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-07570-0 · Cited by 5

Highly connected and highly variable: A Core brain network during resting state supports Propofol‐induced unconsciousness

Li, S., Chen, Y., Ren, P., Li, Z., Zhang, J., & Liang, X. (2022) · Human Brain Mapping · doi:10.1002/hbm.26103 · Cited by 6

Influence of goals on modular brain network organization during working memory

Gallen, C. L., Hwang, K., Chen, A. J.-W., Jacobs, E. G., Lee, T. G., & D’Esposito, M. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1128610 · Cited by 7

White matter fiber integrity and structural brain network topology: implications for balance function in postischemic stroke patients

Li, L., Wu, J., Ma, J., Li, Y., Xue, X., Li, K.-P., Jin, J., Hua, X., Zheng, M., & Xu, J. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad452 · Cited by 5

Contemporary neurocognitive models of memory: A descriptive comparative analysis

Zárate-Rochín, A. M. (2024) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2024.108846 · Cited by 5

Integrative role of attention networks in frequency-dependent modular organization of human brain

Neşe, H., Harı, E., Ay, U., Demıralp, T., & Ademoğlu, A. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02847-8 · Cited by 5

Task‐specific topology of brain networks supporting working memory and inhibition

Adamovich, T., Ismatullina, V. I., Chipeeva, N., Zakharov, I., Feklicheva, I. V., & Malykh, S. B. (2024) · Human Brain Mapping · doi:10.1002/hbm.70024 · Cited by 6

Oscillatory Networks: Insights from Piecewise-Linear Modeling

Coombes, S., Şaylı, M., Thul, R., Nicks, R., Porter, M. A., & Lai, Y. M. (2024) · SIAM Review · doi:10.1137/22m1534365 · Cited by 6

Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels

Agterberg, J., Lubberts, Z., & Arroyo, J. (2025) · Journal of the American Statistical Association · doi:10.1080/01621459.2025.2516201 · Cited by 5

Coming up short: Generative network models fail to accurately capture long-range connectivity

Oldham, S., Fornito, A., & Ball, G. (2025) · Network Neuroscience · doi:10.1162/netn.a.35 · Cited by 5

Memetics and neural models of conspiracy theories

Duch, W. (2021) · Patterns · doi:10.1016/j.patter.2021.100353 · Cited by 5

Similarity in functional brain architecture between rest and specific task modes: A model of genetic and environmental contributions to episodic memory

Petrican, R., & Levine, B. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.057 · Cited by 5

Graph Signal Processing of Human Brain Imaging Data

Huang, W., Bolton, T. A. W., Medaglia, J. D., Bassett, D. S., Ribeiro, A., & Ville, D. V. D. (2018) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2018.8461314 · Cited by 5

A brief exposure to rightward prismatic adaptation changes resting-state network characteristics of the ventral attentional system

Gudmundsson, L., Vohryzek, J., Fornari, E., Clarke, S., Hagmann, P., & Crottaz‐Herbette, S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0234382 · Cited by 5

Modular-level alterations of single-subject gray matter networks in schizophrenia

Guo, Y., Ma, Y., Wang, G., Li, T., Wang, T., Li, D., Xiang, J., Yan, T., Wang, B., & Liu, M. (2021) · Brain Imaging and Behavior · doi:10.1007/s11682-021-00571-z · Cited by 5

A Transcriptome Community-and-Module Approach of the Human Mesoconnectome

Paredes, O., López, J. B., Covantes-Osuna, C., Ocegueda-Hernández, V., Romo‐Vázquez, R., & Morales, J. A. (2021) · Entropy · doi:10.3390/e23081031 · Cited by 5

A Multimodal Multilevel Neuroimaging Model for Investigating Brain Connectome Development

Hu, Y., Zeydabadinezhad, M., Li, L., & Guo, Y. (2022) · Journal of the American Statistical Association · doi:10.1080/01621459.2022.2055559 · Cited by 5

Node Classification Using Deep Learning in Social Networks

Arya, A., Pandey, P. K., & Saxena, A. (2022) · Studies in big data · doi:10.1007/978-3-031-10869-3_1 · Cited by 7

Detecting Information Relays in Deep Neural Networks

Hintze, A., & Adami, C. (2023) · Entropy · doi:10.3390/e25030401 · Cited by 8

Activation network improves spatiotemporal modelling of human brain communication processes

Liu, X., Wang, Z., Liu, S., Gong, L., Valdes-Sosa, P. A., Becker, B., Jung, T., Dai, X., & Wan, F. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120472 · Cited by 5

Fusion Approaches to Predict Post-stroke Aphasia Severity from Multimodal Neuroimaging Data

Chennuri, S., Lai, S., Billot, A., Varkanitsa, M., Braun, E. J., Kiran, S., Venkataraman, A., Konrad, J., Ishwar, P., & Betke, M. (2023) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw60793.2023.00279 · Cited by 5

Electroconvulsive therapy “corrects” the neural architecture of visuospatial memory: Implications for typical cognitive-affective functioning

Petrican, R., Söderlund, H., Kumar, N., Daskalakis, Z. J., Flint, A. J., & Levine, B. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101816 · Cited by 5

Interactive effects of dopamine transporter genotype and aging on resting-state functional networks

Baeuchl, C., Chen, H.-Y., Su, Y.-S., Hämmerer, D., Klados, M. A., & Li, S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0215849 · Cited by 5

Enabling Large-Scale Simulations With the GENESIS Neuronal Simulator

Crone, J. C., Vindiola, M. M., Yu, A. B., Boothe, D. L., Beeman, D., Oie, K. S., & Franaszczuk, P. J. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00069 · Cited by 5

Strength Adjusted Multilayer Spectral Clustering

Karaaslanli, A., & Aviyente, S. (2019) · Machine learning for signal processing ... · doi:10.1109/mlsp.2019.8918845 · Cited by 5

Modelling the impact of structural directionality on connectome-based models of neural activity

Padmore, A., Nelson, M. R., Chuzhanova, N. A., & Crofts, J. J. (2020) · Journal of Complex Networks · doi:10.1093/comnet/cnaa033 · Cited by 6

Insights into cognition from network science analyses of human brain functional connectivity: Working memory as a test case

Dagenbach, D. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813838-0.00002-9 · Cited by 5

Multi-Scale Network Regression for Brain-Phenotype AssociationsPreprint

Xia, C. H., Ma, Z., Cui, Z., Bzdok, D., Bassett, D. S., Satterthwaite, T. D., Shinohara, R. T., & Witten, D. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/628651 · Cited by 5

The network architecture of the human brain is modularly encoded in the genomePreprint

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) · Cited by 5

BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)Preprint

Rosa, M., Afanasjeva, O., Andersson, S., Davidson, J., Guttenberg, N., Hlubuček, P., Poliak, M., Vítků, J., & Feyereisl, J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.01513 · Cited by 8

Distributed Subnetworks of Depression Defined by Direct Intracranial NeurophysiologyPreprint

Scangos, K. W., Khambhati, A. N., Daly, P., Owen, L., Manning, J., Ambrose, J., Austin, E., Dawes, H. E., Krystal, A., & Chang, E. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.14.943118 · Cited by 5

Puckered in pioneer neurons coordinates the motor activity of the Drosophila embryoPreprint

Karkali, K., Vernon, S. W., Baines, R., Panayotou, G., & Martín-Blanco, E. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/092486 · Cited by 5

Geometric constraints on the architecture of mammalian cortical connectomes

Normand, F., Gajwani, M., Cao, T. N., Cruddas, J., Sangchooli, A., Oldham, S., Holmes, A., Robinson, P. A., Pang, J. C. S., & Fornito, A. (2026) · Cell · doi:10.1016/j.cell.2026.05.048 · Cited by 4

Role of the amygdala in disrupted integration and effective connectivity of cortico-subcortical networks in apathy

Zeng, N., Aleman, A., Liao, C., Fang, H., Xu, P., & Luo, Y. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac267 · Cited by 5

Sex Differences in Hierarchical and Modular Organization of Functional Brain Networks: Insights from Hierarchical Entropy and Modularity Analysis

Chen, W.-Y., Ling, Z., & Jia, T. (2024) · Entropy · doi:10.3390/e26100864 · Cited by 4

Flexibility of Brain Networks May Curtail Cognitive Consequences of Poor Sleep

Zhou, X., Lauharatanahirun, N., Thurman, S. M., Vettel, J. M., Giesbrecht, B., Grafton, S. T., Elliott, J. C., Lawhern, V. J., Flynn‐Evans, E. E., Falk, E. B., et al. (2025) · Human Brain Mapping · doi:10.1002/hbm.70362 · Cited by 4

The biological role of local and global fMRI BOLD signal variability in multiscale human brain organization

Baracchini, G., Zhou, Y., Castanheira, J. D. S., Hansen, J. Y., Fenerci, C., Setton, R., Rieck, J. R., Turner, G. R., Grady, C. L., Mišić, B., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-68700-0 · Cited by 26

Impacts of FKBP5 variants on large-scale brain network connectivity in healthy adults

Zhang, H., Wang, Y. F., Zheng, L. J., Lin, L., Zhang, X. Y., Yang, Y. T., Liu, Y., Lu, G., & Zhang, L. J. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.04.007 · Cited by 4

Reduced Modular Segregation of White Matter Brain Networks in Attention Deficit Hyperactivity Disorder

He, W., Liu, W., Mao, M., Cui, X., Yan, T., Xiang, J., Wang, B., & Li, D. (2022) · Journal of Attention Disorders · doi:10.1177/10870547221085505 · Cited by 4

The organization of individually mapped structural and functional semantic networks in aging adults

Ketchabaw, W. T., DeMarco, A. T., Paul, S., Dvorak, E., van der Stelt, C. M., & Turkeltaub, P. E. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02544-4 · Cited by 7

Test-retest reliability of modular-relevant analysis in brain functional network

Wen, X., Yang, M., Hsu, L., & Zhang, D. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1000863 · Cited by 5

Brain’s Networks and Their Functional Significance in Cognition

Dragomir, A., & Omurtag, A. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_76 · Cited by 5

Using Connectivity to Explain Neuropsychiatric Conditions: The Example of Autism

Adamek, J. H., Luo, Y., & Ewen, J. B. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_90 · Cited by 4

Robustness of Sparsely Distributed Representations to Adversarial Attacks in Deep Neural Networks

Sardar, N., Khan, S., Hintze, A., & Mehra, P. (2023) · Entropy · doi:10.3390/e25060933 · Cited by 4

An effective algorithm for genealogical graph partitioning

Sheng, S., Zhang, Z., Zhou, P., & Wu, X. (2024) · Applied Intelligence · doi:10.1007/s10489-023-05265-1 · Cited by 4

Optimal navigability of weighted human brain connectomes in physical space

Barjuan, L., Soriano, J., & Serrano, M. Á. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120703 · Cited by 4

No sex difference in maturation of brain morphology during the perinatal period

Sheng, Y., Wang, Y., Wang, X., Zhang, Z., Zhu, D., & Zheng, W. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02828-x · Cited by 4

Comparing Connectivity-To-Reservoir Conversion Methods for Connectome-Based Reservoir Computing

Nishimura, R., & Fukushima, M. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10650803 · Cited by 4

Network structure and time delays shape synchronization patterns in brain network models

Pinder, I., Nelson, M. R., & Crofts, J. J. (2024) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0228813 · Cited by 4

Recovery of activation propagation and self-sustained oscillation abilities in stroke brain networks

Liu, Y., Wu, J., Xu, K., & Zheng, M. (2025) · Physical review. E · doi:10.1103/physreve.111.034309 · Cited by 4

Altered neural avalanche spreading in people with drug-resistant epilepsy✰

Sancetta, B. M., Matarrese, M. A. G., Ricci, L., Lanzone, J., Lippa, G., Nesta, M., Zappasodi, F., Brunetti, M., Lazzaro, V. D., Tombini, M., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121188 · Cited by 4

Full interhemispheric integration sustained by a fraction of posterior callosal fibers

Santander, T., Bekir, S., Paul, T., Simonson, J. M., Wiemer, V. M., Skinner, H. E., Hopf, J. L., Rada, A., Woermann, F. G., Kalbhenn, T., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2520190122 · Cited by 4

Directed adaptation of synchronization levels in oscillator communities

Fengler, E., Totz, J. F., Kaluza, P., & Engel, H. (2019) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5094490 · Cited by 4

Brain network modules of meaningful and meaningless objects

Rizkallah, J., Benquet, P., Wendling, F., Khalil, M. A., Mheich, A., Dufor, O., & Hassan, M. (2016) · Middle East Conference on Biomedical Engineering · doi:10.1109/mecbme.2016.7745402 · Cited by 4

Competitive suppression of synchronization and nonmonotonic transitions in oscillator communities with distributed time delay

Restrepo, J. G., & Skardal, P. S. (2019) · Physical Review Research · doi:10.1103/physrevresearch.1.033042 · Cited by 4

Brain Network Functional Connectivity in Alzheimer’s Disease and Frontotemporal Dementia

Zhou, J. H., Ng, K. K., & Liu, S. (2020) · Springer eBooks · doi:10.1007/978-3-030-41874-8_25 · Cited by 4

Nonverbal Neuropsychological Assessment

Wasserman, J. D. (2017) · Springer eBooks · doi:10.1007/978-3-319-50604-3_17 · Cited by 4

A tractometry principal component analysis of white matter tract network structure and relationships with cognitive function in relapsing-remitting multiple sclerosis

Jandric, D., Parker, G. J. M., Haroon, H. A., Tomassini, V., Muhlert, N., & Lipp, I. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.102995 · Cited by 4

The global neuronal workspace as a broadcasting network

Paz, A. W. (2022) · Network Neuroscience · doi:10.1162/netn_a_00261 · Cited by 5

Modular segregation drives causality of the dynamic oscillatory network responses during threat processing

González‐Escamilla, G., Chirumamilla, V. C., Koirala, N., Anwar, A. R., Tüscher, O., Vogt, J., Horstmann, P., Meyer, B., Bonanno, G. A., Groppa, S., et al. (2023) · Brain Communications · doi:10.1093/braincomms/fcad035 · Cited by 5

Hierarchical overlapping modular structure in the human cerebral cortex improves individual identification

Fan, Y., Wang, R., Yi, C., Zhou, L., & Wu, Y. (2023) · iScience · doi:10.1016/j.isci.2023.106575 · Cited by 4

A swarm intelligence-based hybrid approach for identifying network modules

Atay, Y., Aslan, M. S., & Kodaz, H. (2017) · Journal of Computational Science · doi:10.1016/j.jocs.2017.10.011 · Cited by 4

A Computational Framework for Controlling the Self-Restorative Brain Based on the Free Energy and Degeneracy Principles

Park, H., & Kang, J. (2021) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.590019 · Cited by 4

Comparison of Community Detection Algorithms on Contracts Networks

Xiong, P., Ping, W., & Chen, H. (2021) · Chinese Control Conference (CCC) · doi:10.23919/ccc52363.2021.9549569 · Cited by 4

Using Connectivity to Explain Neuropsychiatric Conditions: The Example of Autism

Adamek, J. H., Luo, Y., & Ewen, J. B. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_90-1 · Cited by 4

Time-sequential graph adversarial learning for brain modularity community detection

Gong, C., Xue, B., Jing, C., He, C., Wu, G., Lei, B., & Wang, S. (2022) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2022621 · Cited by 4

Weighted Network Estimation by the Use of Topological Graph Metrics

Spyrou, L., & Escudero, J. (2018) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2018.2849342 · Cited by 4

Multimodal, multiscale connectivity blueprints of the cerebral cortexPreprint

Hansen, J. Y., Shafiei, G., Voigt, K., Liang, E. X., Cox, S. M. L., Leyton, M., Jamadar, S. D., & Mišić, B. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.02.518906 · Cited by 4

Redefining the connectome: A multi-modal, asymmetric, weighted, and signed description of anatomical connectivityPreprint

Tanner, J., Faskowitz, J., Teixeira, A. S., Seguin, C., Coletta, L., Gozzi, A., Mišić, B., & Betzel, R. F. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.19.519033 · Cited by 4

Brain network estimation from dense EEG signals : application to neurological disorders

Kabbara, A. (2018) · theses.fr (ABES) · doi:10.70675/d3d377dbze714z4938z995cz0e931172cb78 · Cited by 4

Individual differences in medial temporal lobe functional network architecture predict the capacity for sleep-related consolidation of emotional memories in older adults

Chappel-Farley, M. G., Adams, J. N., Betzel, R. F., Sattari, N. S., Berisha, D. E., Meza, N. J., Janecek, J. T., Niknazar, H., Kim, S., Dave, A., et al. (2025) · SLEEP · doi:10.1093/sleep/zsaf117 · Cited by 4

Music-induced cognitive change and whole-brain network flexibility: a pilot study

Wu‐Chung, E. L., Bonomo, M. E., Brandt, A., Denny, B. T., Karmonik, C., Frazier, J. T., Blench, K., & Fagundes, C. P. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1567605 · Cited by 3

Evaluating topological and graph-theoretical approaches to extract complex multimodal brain connectivity patterns in multiple sclerosis

Bagén, T. L., Martínez‐Heras, E., Pontillo, G., Solana, E., Vivó, F., Petracca, M., Calvi, A., Garrido-Romero, S., Solé‐Ribalta, A., Llufriú, S., et al. (2025) · Health Information Science and Systems · doi:10.1007/s13755-025-00386-y · Cited by 3

Cognitive flexibility and brain network energy in healthy aging: An allostatic perspective from the SENECA model

Guichet, C., Achard, S., Mermillod, M., & Baciu, M. V. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.1091 · Cited by 4

Predicting rTMS treatment efficacy in depression based on modular flexibility of functional connectivity

Shao, Y., Zhou, Z., Mao, J., Xu, P., Luo, Y., Yu, F., & Wang, S. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121273 · Cited by 3

Embracing the suboptimal organization of the human brain

Fakhar, K., & Astle, D. E. (2026) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2026.04.008 · Cited by 4

Separate neural subsystems support goal-directed speech listening

Zhou, L.-F., Zhao, D., Cui, X., Guo, B., Zhu, F., Feng, C., Wang, J., & Meng, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119613 · Cited by 3

Large‐scale network dynamics underlying the first few hundred milliseconds after stimulus presentation: An investigation of visual recognition memory using iEEG

Kopál, J., Hlinka, J., Despouy, E., Valton, L., Denuelle, M., Sol, J., Curot, J., & Barbeau, E. J. (2023) · Human Brain Mapping · doi:10.1002/hbm.26477 · Cited by 9

Matrix-Variate Regression for Sparse, Low-Rank Estimation of Brain Connectivities Associated With a Clinical Outcome

Brzyski, D., Hu, X., Goñi, J., Ances, B. M., Randolph, T. W., & Harezlak, J. (2023) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2023.3336241 · Cited by 3

A Hybrid Routing Pattern in Human Brain Structural Network Revealed By Evolutionary Computation

Liang, Q., Ma, J., Chen, X., Lin, Q., Shu, N., Dai, Z., & Lin, Y. (2024) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2024.3351907 · Cited by 4

Dysfunctions of multiscale dynamic brain functional networks in subjective cognitive decline

Liu, M., Huang, Q., Huang, L., Ren, S., Cui, L., Zhang, H., Guan, Y., Guo, Q., Xie, F., & Shen, D. G. (2023) · Brain Communications · doi:10.1093/braincomms/fcae010 · Cited by 3

Shaping dynamical neural computations using spatiotemporal constraints

Kim, J. Z., Larsen, B., & Parkes, L. (2024) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2024.150302 · Cited by 3

Electrophysiological features of cortical 3D networks are deeply modulated by scaffold properties

Callegari, F., Brofiga, M., Tedesco, M., & Massobrio, P. (2024) · APL Bioengineering · doi:10.1063/5.0214745 · Cited by 3

IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis

Xia, J., Chan, Y. H., Girish, D., & Rajapakse, J. C. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72117-5_44 · Cited by 3

Whole-brain modular dynamics at rest predict sensorimotor learning performance

Standage, D., Gale, D. J., Nashed, J. Y., Flanagan, J. R., & Gallivan, J. P. (2024) · Network Neuroscience · doi:10.1162/netn_a_00420 · Cited by 3

Modularity Measures of Functional Brain Networks Predict Individual Differences in Long‐Term Memory

Zhou, M. B., Chun, M. M., & Lin, Q. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70052 · Cited by 3

The exponential distance rule-based network model predicts topology and reveals functionally relevant properties of the Drosophila projectome

Péntek, B., & Ercsey-Ravasz, M. (2025) · Network Neuroscience · doi:10.1162/netn_a_00455 · Cited by 3

Oceanic feelings and their relationship to spirituality and personality organization

Straßnig, S., Herzl, T., Latifi, A., Fuchshuber, J., Jiménez, P., & Unterrainer, ­. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1558537 · Cited by 4

Thoughtseeds: A Hierarchical and Agentic Framework for Investigating Thought Dynamics in Meditative States

Kavi, P. C., Zamora‐López, G., Friedman, D., & Patow, G. (2025) · Entropy · doi:10.3390/e27050459 · Cited by 5

Partial correlation as a tool for mapping functional-structural correspondence in human brain connectivity

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