Baggio, H. C., Segura, B., Sala-Llonch, R., Marti, M. J., Valldeoriola, F., Compta, Y., & Junqué, C. (2015). Cognitive impairment and resting-state network connectivity in Parkinson’s disease. Human Brain Mapping, 36(1), 199–212. https://doi.org/10.1002/hbm.22622
Baldassarre, A., Ramsey, L., Rengachary, J., Zinn, K., Siegel, J. S., Metcalf, N. V., & Shulman, G. L. (2016). Dissociated functional connectivity profiles for motor and attention deficits in acute right-hemisphere stroke. Brain, 139(Pt 7), 2024–2038. https://doi.org/10.1093/brain/aww107
Article PubMed PubMed Central Google Scholar
Buckner, R. L., & DiNicola, L. M. (2019). The brain’s default network: Updated anatomy, physiology and evolving insights. Nature Reviews Neuroscience, 20(10), 593–608. https://doi.org/10.1038/s41583-019-0212-7
Article CAS PubMed Google Scholar
Chand, G. B., Wu, J., Hajjar, I., & Qiu, D. (2017). Interactions of the Salience Network and its subsystems with the default-Mode and the Central-Executive networks in normal aging and mild cognitive impairment. Brain Connectivity, 7(7), 401–412. https://doi.org/10.1089/brain.2017.0509
Article PubMed PubMed Central Google Scholar
Chen, H., Shi, M., Zhang, H., Zhang, Y. D., Geng, W., Jiang, L., & Yin, X. (2019). Different patterns of functional connectivity alterations within the default-Mode Network and Sensorimotor Network in basal ganglia and Pontine Stroke. Medical Science Monitor, 25, 9585–9593. https://doi.org/10.12659/msm.918185
Article PubMed PubMed Central Google Scholar
Cumming, T. B., Brodtmann, A., Darby, D., & Bernhardt, J. (2014). The importance of cognition to quality of life after stroke. Journal of Psychosomatic Research, 77(5), 374–379. https://doi.org/10.1016/j.jpsychores.2014.08.009
Dąbrowski, J., Czajka, A., Zielińska-Turek, J., Jaroszyński, J., Furtak-Niczyporuk, M., Mela, A., & Ziemba, A. (2019). Brain functional reserve in the context of neuroplasticity after stroke. Neural Plast, 2019, 9708905. https://doi.org/10.1155/2019/9708905
Ding, X., Li, C. Y., Wang, Q. S., Du, F. Z., Ke, Z. W., Peng, F., & Chen, L. (2014). Patterns in default-mode network connectivity for determining outcomes in cognitive function in acute stroke patients. Neuroscience, 277, 637–646. https://doi.org/10.1016/j.neuroscience.2014.07.060
Article CAS PubMed Google Scholar
Esposito, R., Cieri, F., Chiacchiaretta, P., Cera, N., Lauriola, M., Di Giannantonio, M., & Ferretti, A. (2018). Modifications in resting state functional anticorrelation between default mode network and dorsal attention network: Comparison among young adults, healthy elders and mild cognitive impairment patients. Brain Imaging Behav, 12(1), 127–141. https://doi.org/10.1007/s11682-017-9686-y
Foster, B. L., Koslov, S. R., Aponik-Gremillion, L., Monko, M. E., Hayden, B. Y., & Heilbronner, S. R. (2023). A tripartite view of the posterior cingulate cortex. Nature Reviews Neuroscience, 24(3), 173–189. https://doi.org/10.1038/s41583-022-00661-x
Article CAS PubMed Google Scholar
Friston, K. J., Harrison, L., & Penny, W. (2003). Dynamic causal modelling. Neuroimage, 19(4), 1273–1302.
Article CAS PubMed Google Scholar
Friston, K. J., Kahan, J., Biswal, B., & Razi, A. (2014). A DCM for resting state fMRI. Neuroimage, 94, 396–407.
Geng, W., Zhang, J., Shang, S., Chen, H., Shi, M., Jiang, L., & Chen, Y. C. (2022). Reduced functional network connectivity is associated with upper limb dysfunction in acute ischemic brainstem stroke. Brain Imaging Behav, 16(2), 802–810. https://doi.org/10.1007/s11682-021-00554-0
Ginestet, C. E., et al. (2017). Hypothesis testing for network data in functional neuroimaging. Annals of Applied Statistics, 11(2), 725–750. https://doi.org/10.1214/16-AOAS1015
Iadecola, C., Duering, M., Hachinski, V., Joutel, A., Pendlebury, S. T., Schneider, J. A., & Dichgans, M. (2019). Vascular cognitive impairment and dementia: JACC Scientific Expert Panel. Journal of the American College of Cardiology, 73(25), 3326–3344. https://doi.org/10.1016/j.jacc.2019.04.034
Article PubMed PubMed Central Google Scholar
Jiang, L., Geng, W., Chen, H., Zhang, H., Bo, F., Mao, C. N., & Yin, X. (2018). Decreased functional connectivity within the default-mode network in acute brainstem ischemic stroke. European Journal of Radiology, 105, 221–226. https://doi.org/10.1016/j.ejrad.2018.06.018
Jones, D. T., & Graff-Radford, J. (2021). Executive dysfunction and the Prefrontal Cortex. Continuum (Minneap Minn), 27(6), 1586–1601. https://doi.org/10.1212/con.0000000000001009
Katan, M., & Luft, A. (2018). Global Burden of Stroke. Seminars in Neurology, 38(2), 208–211. https://doi.org/10.1055/s-0038-1649503
Li, B., Daunizeau, J., Stephan, K. E., Penny, W., Hu, D., & Friston, K. (2011). Generalised filtering and stochastic DCM for fMRI. Neuroimage, 58(2), 442–457.
Li, C., Li, T., Chen, Y., Zhang, C., Ning, M., Qin, R., & Chen, L. (2023). Sex differences of the triple network model in children with autism: A resting-state fMRI investigation of effective connectivity. Autism Research, 16(9), 1693–1706. https://doi.org/10.1002/aur.2991
Li, C., Li, Y., Zheng, L., Zhu, X., Shao, B., Fan, G., & Wang, J. (2019). Abnormal Brain Network Connectivity in a triple-network model of Alzheimer’s Disease. Journal of Alzheimer’s Disease, 69(1), 237–252. https://doi.org/10.3233/jad-181097
Li, G., Liu, Y., Zheng, Y., Li, D., Liang, X., Chen, Y., & Zhang, H. (2020). Large-scale dynamic causal modeling of major depressive disorder based on resting‐state functional magnetic resonance imaging. Human Brain Mapping, 41(4), 865–881.
Li, L., Li, B., Bai, Y., Liu, W., Wang, H., Leung, H. C., & Tan, Q. (2017). Abnormal resting state effective connectivity within the default mode network in major depressive disorder: A spectral dynamic causal modeling study. Brain Behav, 7(7), e00732. https://doi.org/10.1002/brb3.732
Article PubMed PubMed Central Google Scholar
Liu, B., Wen, L., Ran, Q., Zhang, S., Hu, J., Gong, M., & Zhang, D. (2020). Dysregulation within the salience network and default mode network in hyperthyroid patients: A follow-up resting-state functional MRI study. Brain Imaging Behav, 14, 30–41.
Lu, L., Zhang, J., Li, F., Shang, S., Chen, H., Yin, X., & Chen, Y. C. (2022). Aberrant static and Dynamic Functional Network Connectivity in Acute mild traumatic Brain Injury with Cognitive Impairment. Clinical Neuroradiology, 32(1), 205–214. https://doi.org/10.1007/s00062-021-01082-6
Menon, V. (2011). Large-scale brain networks and psychopathology: A unifying triple network model. Trends in Cognitive Sciences, 15(10), 483–506.
Miao, G., Rao, B., Wang, S., Fang, P., Chen, Z., Chen, L., & Liao, W. (2021). Decreased functional connectivities of Low-Degree Level Rich Club Organization and Caudate in Post-stroke Cognitive Impairment based on resting-state fMRI and Radiomics features. Front Neurosci, 15, 796530. https://doi.org/10.3389/fnins.2021.796530
Mueller, F., Musso, F., London, M., de Boer, P., Zacharias, N., & Winterer, G. (2018). Pharmacological fMRI: Effects of subanesthetic ketamine on resting-state functional connectivity in the default mode network, salience network, dorsal attention network and executive control network. NeuroImage: Clinical, 19, 745–757.
Nakamoto, F. K., Tsutsumiuchi, M., Maeda, M. H., Uesaka, Y., & Takeda, K. (2015). Memory impairment following right cerebellar infarction: A case study. Neurocase, 21(5), 660–664. https://doi.org/10.1080/13554794.2014.969277
Nichols, T. E., et al. (2017). Best practices in data analysis and sharing in neuroimaging using MRI. Nature Neuroscience, 20(3), 299–303. https://doi.org/10.1038/nn.4500
Article CAS PubMed PubMed Central Google Scholar
Putcha, D., Ross, R. S., Cronin-Golomb, A., Janes, A. C., & Stern, C. E. (2016). Salience and Default Mode Network Coupling Predicts Cognition in Aging and Parkinson’s Disease. Journal of the International Neuropsychological Society, 22(2), 205–215. https://doi.org/10.1017/s1355617715000892
留言 (0)