Time-resolved resting-state brain networks

Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single subject brain

Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319

Modularity and community structure in networks

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A default mode of brain function

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

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Complex network measures of brain connectivity: Uses and interpretations

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The human brain is intrinsically organized into dynamic, anticorrelated functional networks

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Distributed hierarchical processing in the primate cerebral cortex

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Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

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Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

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The WU-Minn Human Connectome Project: An overview

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Altered static and dynamic functional brain network in knee osteoarthritis: A resting-state functional magnetic resonance imaging study

Cheng, S., Zeng, F., Zhou, J., Dong, X., Yang, W., Yin, T., Huang, K., Liang, F., & Li, Z. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120599 · Cited by 17

Abnormal Insular Dynamic Functional Connectivity and Its Relation to Social Dysfunctioning in Children With Attention Deficit/Hyperactivity Disorder

Fateh, A. A., Huang, W., Mo, T., Wang, X., Luo, Y., Yang, B., Smahi, A., Fang, D., Zhang, L., Meng, X., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.890596 · Cited by 17

Spatial-temporal-spectral EEG patterns of BOLD functional network connectivity dynamics

Lamoš, M., Mareček, R., Slavicek, T., Mikl, M., Rektor, I., & Jan, J. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aab66b · Cited by 17

Neural decoding of visual stimuli varies with fluctuations in global network efficiency

Cocchi, L., Yang, Z., Zalesky, A., Stelzer, J., Hearne, L. J., Gollo, L. L., & Mattingley, J. B. (2017) · Human Brain Mapping · doi:10.1002/hbm.23574 · Cited by 16

Multi-frequency Dynamic Weighted Functional Connectivity Networks for Schizophrenia Diagnosis

Zou, H., & Yang, J. J. (2019) · Applied Magnetic Resonance · doi:10.1007/s00723-019-01117-9 · Cited by 16

Detecting spatio-temporal modes in multivariate data by entropy field decomposition

Frank, L. R., & Galinsky, V. L. (2016) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8113/49/39/395001 · Cited by 16

Structural Brain Connectivity Constrains within-a-Day Variability of Direct Functional Connectivity

Park, B., Eo, J., & Park, H. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00408 · Cited by 14

Regions of Interest as nodes of dynamic functional brain networks

Ryyppö, E., Glerean, E., Brattico, E., Saramäki, J., & Korhonen, O. (2018) · Network Neuroscience · doi:10.1162/netn_a_00047 · Cited by 16

Changes in Dynamics Within and Between Resting-State Subnetworks in Juvenile Myoclonic Epilepsy Occur at Multiple Frequency Bands

Zhang, Z., Liu, G., Yao, Z., Zheng, W., Xie, Y., Hu, T., Zhao, Y., Yu, Y., Zou, Y., Shi, J., et al. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00448 · Cited by 16

Brain Waves: Emergence of Localized, Persistent, Weakly Evanescent Cortical Loops

Galinsky, V. L., & Frank, L. R. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01611 · Cited by 18

Exploring spatiotemporal network transitions in task functional MRI

Scott, G., Hellyer, P. J., Hampshire, A., & Leech, R. (2014) · Human Brain Mapping · doi:10.1002/hbm.22706 · Cited by 16

Human cortical networking by probabilistic and frequency-specific coupling

Yan, Y., Qian, T., Xu, X., Han, H., Ling, Z., Zhou, W., Liu, H., & Hong, B. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116363 · Cited by 16

On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI

Omidvarnia, A., Liégeois, R., Amico, E., Preti, M. G., Zalesky, A., & Ville, D. V. D. (2022) · Entropy · doi:10.3390/e24081148 · Cited by 14

Aberrant Static and Dynamic Functional Brain Network in Depression Based on EEG Source Localization

Lin, X., Kong, W., Li, J., Shao, X., Jiang, C., Yu, R., Li, X., & Hu, B. (2022) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2022.3222592 · Cited by 14

Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer’s disease

Rodríguez-González, V., Nùñez, P., Gómez, C., Hoshi, H., Shigihara, Y., Hornero, R., & Poza, J. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.105512 · Cited by 13

Aberrant brain dynamics of large-scale functional networks across schizophrenia and mood disorder

Ishida, T., Yamada, S., Yasuda, K., Uenishi, S., Tamaki, A., Tabata, M., Ikeda, N., Takahashi, S., & Kimoto, S. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103574 · Cited by 15

A Winding Road: Alzheimer’s Disease Increases Circuitous Functional Connectivity Pathways

Suckling, J., Simas, T., Chattopadhyay, S., Tait, R. J., Su, L., Williams, G. B., Rowe, J. B., & O'Brien, J. T. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00140 · Cited by 15

A Method for Intertemporal Functional-Domain Connectivity Analysis: Application to Schizophrenia Reveals Distorted Directional Information Flow

Miller, R. L., Vergara, V. M., Keator, D. B., & Calhoun, V. D. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2600637 · Cited by 15

Dynamic local connectivity uncovers altered brain synchrony during propofol sedation

Bharath, R. D., Panda, R., Saini, J. S., Sriganesh, K., & Rao, G. S. U. (2017) · Scientific Reports · doi:10.1038/s41598-017-08135-2 · Cited by 15

Stereotypical modulations in dynamic functional connectivity explained by changes in BOLD variance

Glomb, K., Ponce‐Alvarez, A., Gilson, M., Ritter, P., & Deco, G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.074 · Cited by 16

Network neuroscience and the connectomics revolution

Betzel, R. F. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821861-7.00002-6 · Cited by 18

Network Neuroscience Methods for Studying Intelligence

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

Altered temporal reachability highlights the role of sensory perception systems in major depressive disorder

Zhao, Z., Zhang, Y., Chen, N., Li, Y., Guo, H., Guo, M., Yao, Z., & Hu, B. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110426 · Cited by 15

Multidimensional frequency domain analysis of full-volume fMRI reveals significant effects of age, gender, and mental illness on the spatiotemporal organization of resting-state brain activity

Miller, R. L., Erhardt, E. B., Agcaoglu, O., Allen, E. A., Michael, A. M., Turner, J. A., Bustillo, J., Ford, J. M., Mathalon, D. H., van Erp, T. G. M., et al. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00203 · Cited by 15

Co-evolving dynamics and topology in a coupled oscillator model of resting brain function

Pope, M., Seguin, C., Varley, T. F., Faskowitz, J., & Sporns, O. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120266 · Cited by 14

Modular subgraphs in large-scale connectomes underpin spontaneous co-fluctuation events in mouse and human brains

Ragone, E., Tanner, J., Jo, Y., Esfahlani, F. Z., Faskowitz, J., Pope, M., Coletta, L., Gozzi, A., & Betzel, R. F. (2024) · Communications Biology · doi:10.1038/s42003-024-05766-w · Cited by 16

Response inhibition in premotor cortex corresponds to a complex reshuffle of the mesoscopic information network

Bardella, G., Giuffrida, V., Giarrocco, F., Brunamonti, E., Pani, P., & Ferraina, S. (2024) · Network Neuroscience · doi:10.1162/netn_a_00365 · Cited by 14

Flexibility of brain dynamics is increased and predicts clinical impairment in relapsing–remitting but not in secondary progressive multiple sclerosis

Cipriano, L., Minino, R., Liparoti, M., Polverino, A., Romano, A., Bonavita, S., Pirozzi, M. A., Quarantelli, M., Jirsa, V., Sorrentino, G., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae112 · Cited by 14

Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders

Du, Y., Pearlson, G. D., He, H., Wu, L., Chen, J., & Calhoun, V. D. (2015) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2015.7163915 · Cited by 14

The anatomical scaffold underlying the functional centrality of known cortical hubs

de Pasquale, F., Penna, S. D., Sabatini, U., Caravasso, C. F., & Péran, P. (2017) · Human Brain Mapping · doi:10.1002/hbm.23721 · 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

Mesoscopic physiological interactions in the human brain reveal small-world properties

Wang, J., Tao, A., Anderson, W. S., Madsen, J. R., & Kreiman, G. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109585 · Cited by 13

Temporal and Spectral Signatures of the Default Mode Network

de Pasquale, F., & Marzetti, L. (2014) · Springer eBooks · doi:10.1007/978-3-642-33045-2_20 · Cited by 14

Connected brains and minds—The UMCD repository for brain connectivity matrices

Brown, J. A., & Horn, J. D. V. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.043 · Cited by 16

Slow Accumulations of Neural Activities in Multiple Cortical Regions Precede Self-Initiation of Movement: An Event-Related fMRI Study

Sakata, H., Itoh, K., Suzuki, Y., Nakamura, K., Watanabe, M., Igarashi, H., & Nakada, T. (2017) · eNeuro · doi:10.1523/eneuro.0183-17.2017 · Cited by 16

Breastfeeding improves dynamic reorganization of functional connectivity in preterm infants: a temporal brain network study

Niu, W., Xu, X., Zhang, H., Zhang, Y., Ni, S., Liu, T., Li, Q., Lai, C., & Sun, Y. (2020) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-020-02244-3 · Cited by 14

Dynamic Changes of Brain Networks during Working Memory Tasks in Schizophrenia

Yao, R., Xue, J., Yang, P., Wang, Q., Gao, P., Yang, X., Deng, H., Tan, S., & Li, H. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.11.007 · Cited by 14

An Introduction to Brain Networks

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Effects of virtual lesions on temporal dynamics in cortical networks based on personalized dynamic models

Wei, J., Wang, B., Yang, Y., Niu, Y., Yang, L., Guo, Y., & Xiang, J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119087 · Cited by 14

Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder

Guo, X., Zhai, G., Liu, J., Zhang, X., Zhang, T., Cui, D., Zhou, R., & Gao, L. (2023) · Autism Research · doi:10.1002/aur.3037 · Cited by 13

Brain flexibility increases during the peri-ovulatory phase as compared to early follicular phase of the menstrual cycle

Liparoti, M., Cipriano, L., Lopez, E. T., Polverino, A., Minino, R., Sarno, L., Sorrentino, G., Lucidi, F., & Sorrentino, P. (2024) · Scientific Reports · doi:10.1038/s41598-023-49588-y · Cited by 13

Cortical sites critical to language function act as connectors between language subnetworks

Hsieh, J. K., Prakash, P., Flint, R. D., Fitzgerald, Z. B., Mugler, E. M., Wang, Y., Crone, N. E., Templer, J. W., Rosenow, J. M., Tate, M. C., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-51839-z · Cited by 14

Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis

Li, C., Ma, K., Li, S.-R., Meng, X.-S., Wang, R., Zhang, D.-Q., & Zhu, Q. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121013 · Cited by 15

Studying Time-Resolved Functional Connectivity via Communication Theory: On the Complementary Nature of Phase Synchronization and Sliding Window Pearson Correlation

Wiafe, S.-L., Asante, N. O., Calhoun, V. D., & Faghiri, A. (2025) · Brain Connectivity · doi:10.1177/21580014251376733 · 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

Impact of In Utero Exposure to Antiepileptic Drugs on Neonatal Brain Function

Tokariev, A., Breakspear, M. J., Videman, M., Stjerna, S., Scholtens, L. H., van den Heuvel, M. P., Cocchi, L., & Vanhatalo, S. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab338 · Cited by 14

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

Aberrant functional connectivity and temporal variability of the dynamic pain connectome in patients with low back related leg pain

Pei, Y., Peng, J., Zhang, Y., Huang, M., & Zhou, F. (2022) · Scientific Reports · doi:10.1038/s41598-022-10238-4 · Cited by 12

Altered static and dynamic spontaneous neural activity in patients with ischemic pontine stroke

Wang, X., Wang, C., Liu, J., Guo, J., Miao, P., Wei, Y., Wang, Y., Li, Z., Li, J., Wang, K., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1131062 · Cited by 12

Leading basic modes of spontaneous activity drive individual functional connectivity organization in the resting human brain

Chen, X., Ren, H., Tang, Z., Zhou, K., Zhou, L., Zuo, Z., Cui, X., Chen, X., Liu, Z., Yong He, A., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-05262-7 · Cited by 12

Intrinsic neural timescales relate to the dynamics of infraslow neural waves

Ao, Y., Çatal, Y., Lechner, S., Hua, J., & Northoff, G. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120482 · 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

Improved dynamic connection detection power in estimated dynamic functional connectivity considering multivariate dependencies between brain regions

Balajoo, S. M., Asemani, D., Khadem, A. A., & Hamid Soltanian-zadeh, A. (2020) · Human Brain Mapping · doi:10.1002/hbm.25124 · Cited by 11

Aberrant global and local dynamic properties in schizophrenia with instantaneous phase method based on Hilbert transform

Sheng, D., Pu, W., Linli, Z., Tian, G., Guo, S., & Yu, F. (2021) · Psychological Medicine · doi:10.1017/s0033291721003895 · Cited by 12

Coactivation pattern analysis reveals altered whole-brain functional transient dynamics in autism spectrum disorder

Li, L., Zheng, Q., Yang, X., Bai, M., & Mu, Y. (2024) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-024-02474-y · Cited by 11

A method for unsupervised learning of coherent spatiotemporal patterns in multiscale data

Lapo, K., Ichinaga, S. M., & Kutz, J. N. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2415786122 · Cited by 15

Disentangling the Switching Behavior in Functional Connectivity Dynamics in Autism Spectrum Disorder: Insights from Developmental Cohort Analysis and Molecular‐Cellular Associations

Li, W., Qiu, X., Chen, J., Chen, K., Chen, M., Wang, Y., Sun, W., Su, J., Chen, Y., Liu, X., et al. (2025) · Advanced Science · doi:10.1002/advs.202403801 · Cited by 14

Realistic models of apparent dynamic changes in resting‐state connectivity in somatosensory cortex

Shi, Z., Rogers, B. P., Chen, L. M., Morgan, V. L., Mishra, A., Wilkes, D. M., & Gore, J. C. (2016) · Human Brain Mapping · doi:10.1002/hbm.23284 · Cited by 11

On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels

Olcay, B. O., Özgören, M., & Karaçalı, B. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.06.022 · Cited by 11

Dynamic reconfiguration of macaque brain networks during natural vision

Ortiz-Rios, M., Balezeau, F., Haag, M., Schmid, M. C., & Kaiser, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118615 · Cited by 11

Dynamic competition between large-scale functional networks differentiates fear conditioning and extinction in humans

Marstaller, L., Burianová, H., & Reutens, D. C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.008 · Cited by 11

Long-term stability of avalanche scaling and integrative network organization in prefrontal and premotor cortex

Miller, S. R., Yu, S. P., Pajevic, S., & Plenz, D. (2021) · Network Neuroscience · doi:10.1162/netn_a_00188 · Cited by 11

A data-informed mean-field approach to mapping of cortical parameter landscapes

Xiao, Z.-C., Lin, K. K., & Young, L.-S. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009718 · Cited by 11

Multi‐timepoint pattern analysis: Influence of personality and behavior on decoding context‐dependent brain connectivity dynamics

Ganesan, S., Lv, J., & Zalesky, A. (2021) · Human Brain Mapping · doi:10.1002/hbm.25732 · Cited by 11

Dynamic Functional Connectivity between Order and Randomness and its Evolution across the Human Adult LifespanPreprint

Battaglia, D. A., Boudou, T., Hansen, E. C. A., Lombardo, D., Chettouf, S., Daffertshofer, A., McIntosh, A. R., Zimmermann, J., Ritter, P., & Jirsa, V. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/107243 · Cited by 15

Resting-state EEG network variability predicts individual working memory behavior

Chen, C., Xu, S., Zhou, J., Yi, C., Yu, L., Yao, D., Zhang, Y., Li, F., & Xu, P. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121120 · Cited by 11

Atypical Resting-State Functional Connectivity Dynamics Correlate With Early Cognitive Dysfunction in HIV Infection

Nguchu, B. A., Zhao, J., Wang, Y., Li, Y., Wei, Y., Uwisengeyimana, J. D. D., Wang, X., Qiu, B., & Li, H. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2020.606592 · Cited by 10

Prediction of Epilepsy Based on Tensor Decomposition and Functional Brain Network

Li, H., Zhang, Q., Lin, Z., & Gao, F. (2021) · Brain Sciences · doi:10.3390/brainsci11081066 · Cited by 10

Validating dynamicity in resting state fMRI with activation‐informed temporal segmentation

Duda, M., Koutra, D., & Sripada, C. (2021) · Human Brain Mapping · doi:10.1002/hbm.25649 · Cited by 9

Spatiotemporally flexible subnetworks reveal the quasi-cyclic nature of integration and segregation in the human brain

Strindberg, M., Fransson, P., Cabral, J., & Ådén, U. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118287 · Cited by 10

Frontal and parietal background connectivity and their dynamic changes account for individual differences in the multisensory representation of peripersonal space

Spadone, S., Perrucci, M. G., Cosmo, G. D., Costantini, M., Penna, S. D., & Ferri, F. (2021) · Scientific Reports · doi:10.1038/s41598-021-00048-5 · Cited by 10

Whole-brain propagating patterns in human resting-state brain activities

Takeda, Y., Hiroe, N., & Yamashita, O. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118711 · Cited by 12

Static and dynamic topological organizations of the costly punishment network predict individual differences in punishment propensity

Li, T., Yang, Y., Krüeger, F., Feng, C., & Wang, J. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab462 · Cited by 10

Power spectrum of resting-state blood-oxygen-level-dependent signal

Pang, J. C. S., & Robinson, P. A. (2019) · Physical review. E · doi:10.1103/physreve.100.022418 · Cited by 10

The dynamics of functional brain network segregation in feedback-driven learning

Wang, X., Zwosta, K., Hennig, J., Boehm, I., Ehrlich, S., Wolfensteller, U., & Ruge, H. (2024) · Communications Biology · doi:10.1038/s42003-024-06210-9 · Cited by 10

The Brain Network Hub Degeneration in Alzheimer’s Disease

Jin, S., Wang, J., & Yong He, A. (2024) · Biophysics Reports · doi:10.52601/bpr.2024.230025 · Cited by 11

Recent trends in multiple metrics and multimodal analysis for neural activity and pupillometry

Nobukawa, S., Shirama, A., Takahashi, T., & Toda, S. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1489822 · Cited by 9

Alterations of triple network dynamic connectivity and repetitive behaviors after mini-basketball training program in children with autism spectrum disorder

Weike, Z., Cai, K., Xiong, X., Zhu, L., Sun, Z., Yang, S., Cheng, W. D., Mao, H., & Chen, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-87248-5 · Cited by 13

Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning

Lin, Y., Hou, J., Laurienti, P. J., & Guorong Wu, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59728-3_48 · Cited by 9

Brain morphometric similarity and flexibility

Vuksanović, V. (2022) · Cerebral Cortex Communications · doi:10.1093/texcom/tgac024 · Cited by 8

Cortical network formation based on subthalamic beta bursts in Parkinson's disease

Sure, M., Vesper, J., Schnitzler, A., & Florin, E. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119619 · Cited by 11

Effective connectivity in individuals with Alzheimer's disease and mild cognitive impairment: A systematic review

Kazemi-Harikandei, S.-Z., Shobeiri, P., Jelodar, M.-R. S., & Tavangar, S. M. (2022) · Neuroscience Informatics · doi:10.1016/j.neuri.2022.100104 · Cited by 9

Different interaction modes for the default mode network revealed by resting state functional magnetic resonance imaging

Zuo, N., Song, M., Fan, L., Eickhoff, S. B., & Jiang, T. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13112 · Cited by 9

Brain-State Extraction Algorithm Based on the State Transition (BEST): A Dynamic Functional Brain Network Analysis in fMRI Study

Lee, Y., Yoo, K., Roh, J. H., Moon, W., & Jeong, Y. (2019) · Brain Topography · doi:10.1007/s10548-019-00719-7 · Cited by 9

Time-resolved connectome of the five-factor model of personality

Passamonti, L., Riccelli, R., Indovina, I., Duggento, A., Terracciano, A., & Toschi, N. (2019) · Scientific Reports · doi:10.1038/s41598-019-51469-2 · Cited by 9

Dynamic visual cortical connectivity analysis based on functional magnetic resonance imaging

Zhao, L., Zeng, W., Shi, Y., Nie, W., & Yang, J. (2020) · Brain and Behavior · doi:10.1002/brb3.1698 · Cited by 9

Time-Varying Functional Connectivity Decreases as a Function of Acute Nicotine Abstinence

Fedota, J. R., Ross, T. J., Castillo, J., McKenna, M. R., Matous, A. L., Salmeron, B. J., Menon, V., & Stein, E. A. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.10.004 · Cited by 8

Connective profiles and antagonism between dynamic and static connectivity underlying generalized epilepsy

Jiang, S., Li, H., Pei, H., Liu, L., Li, Z., Chen, Y., Li, X., Li, Q., Yao, D., & Luo, C. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02248-1 · Cited by 9

Identification of community structure-based brain states and transitions using functional MRI

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Activity flow mapping over probabilistic functional connectivity

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Disruption of dynamic functional connectivity in children with developmental dyslexia

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Identifying Large-Scale Neural Networks Using fMRI

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Metastable States of Multiscale Brain Networks Are Keys to Crack the Timing Problem

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Propagations of spontaneous brain activity in awake rats

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Nonparametric Modeling of Dynamic Functional Connectivity in fMRI DataPreprint

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DySCo: A general framework for dynamic functional connectivity

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Interpretable Dynamic Brain Network Analysis With Functional and Structural Priors

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A Practical Introduction to Network Neuroscience for Communication Researchers

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Inter-individual differences in baseline dynamic functional connectivity are linked to cognitive aftereffects of tDCS

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Bibliometric and visualized analysis of dynamic balance and brain function using web of science and CiteSpace from 1995 to 2022

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Spontaneous functional network dynamics and associated structural substrates in the human brain

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Dynamic fluctuations in global brain network topology characterize functional states during rest and behaviorPreprint

Shine, J. M., Bell, P. T., Koyejo, S., Bissett, P. G., Gorgolewski, K. J., Moodie, C. A., & Poldrack, R. A. (2015) · arXiv (Cornell University)

A Dynamic Core Network and Global Efficiency in the Resting Human Brain

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Tracking whole-brain connectivity dynamics in the resting state

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Fast transient networks in spontaneous human brain activity

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