Ahn, D., Kyeong, S., Kang, H., & Kim, D. H. (2019). Bihemispheric changes associated with cognition in patients with chronic brainstem stroke. NeuroReport, 30(18), 1278–1283. https://doi.org/10.1097/WNR.0000000000001356

Article  PubMed  Google Scholar 

Ball, E. L., Sutherland, R., Squires, C., Mead, G. E., Religa, D., Lundström, E., et al. (2022b). Predicting post-stroke cognitive impairment using acute CT neuroimaging: A systematic review and meta-analysis. International Journal of Stroke : Official Journal of the International Stroke Society, 17(6), 618–627. https://doi.org/10.1177/17474930211045836

Article  PubMed  Google Scholar 

Ball, E. L., Shah, M., Ross, E., Sutherland, R., Squires, C., Mead, G. E., et al. (2022a). Predictors of post-stroke cognitive impairment using acute structural MRI neuroimaging: A systematic review and meta-analysis. International journal of stroke : official journal of the International Stroke Society. https://doi.org/10.1177/17474930221120349

Balthazar, M. L. F., Pereira, F. R. S., Lopes, T. M., da Silva, E. L., Coan, A. C., Campos, B. M., et al. (2014). Neuropsychiatric symptoms in Alzheimer’s disease are related to functional connectivity alterations in the salience network. Human Brain Mapping, 35(4), 1237–1246. https://doi.org/10.1002/hbm.22248

Article  PubMed  Google Scholar 

Borserio, B. J., Sharpley, C. F., Bitsika, V., Sarmukadam, K., Fourie, P. J., & Agnew, L. L. (2021). Default mode network activity in depression subtypes. Reviews in the Neurosciences, 32(6), 597–613. https://doi.org/10.1515/revneuro-2020-0132

Article  PubMed  Google Scholar 

Bournonville, C., Hénon, H., Dondaine, T., Delmaire, C., Bombois, S., Mendyk, A. M., et al. (2018). Identification of a specific functional network altered in poststroke cognitive impairment. Neurology, 90(21), e1879–e1888. https://doi.org/10.1212/WNL.0000000000005553

Article  PubMed  Google Scholar 

Bowren, J. M., Bruss, J., Manzel, K., Edwards, D., Liu, C., Coberta, M., Tranel, D., & Boes, A. D. (2022). Post-stroke outcomes predicted from multivariate lesion-behaviour and lesion network mapping. Brain, 145(4), 1338–1353. https://doi.org/10.1093/brain/awac010

Article  PubMed  PubMed Central  Google Scholar 

Cai, H., Zhao, Z., Ni, L., Han, G., Hu, X., Wu, D., et al. (2021). Structural and functional deficits in patients with poststroke dementia: A multimodal MRI study. Neural Plasticity, 2021. https://doi.org/10.1155/2021/3536234

Casolla, B., Caparros, F., Cordonnier, C., Bombois, S., Hénon, H., Bordet, R., et al. (2019). Biological and imaging predictors of cognitive impairment after stroke: A systematic review. Journal of Neurology, 266(11), 2593–2604. https://doi.org/10.1007/S00415-018-9089-Z

Article  PubMed  Google Scholar 

Dacosta-Aguayo, R., Graña, M., Savio, A., Fernández-Andújar, M., Millán, M., López-Cancio, E., et al. (2014). Prognostic value of changes in resting-state functional connectivity patterns in cognitive recovery after stroke: A 3T fMRI pilot study. Human Brain Mapping, 35(8), 3819–3831. https://doi.org/10.1002/hbm.22439

Article  PubMed  PubMed Central  CAS  Google Scholar 

Dacosta-Aguayo, R., Graña, M., Iturria-Medina, Y., Fernández-Andújar, M., López-Cancio, E., Cáceres, C., et al. (2015). Impairment of functional integration of the default mode network correlates with cognitive outcome at three months after stroke. Human Brain Mapping, 36(2), 577–590. https://doi.org/10.1002/hbm.22648

Article  PubMed  Google Scholar 

Ding, X., Li, C. Y., Wang, Q. S., Du, F. Z., Ke, Z. W., Peng, F., et al. (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  PubMed  CAS  Google Scholar 

Fan, L., Hu, J., Ma, W., Wang, D., Yao, Q., & Shi, J. (2019). Altered baseline activity and connectivity associated with cognitive impairment following acute cerebellar infarction: A resting-state fMRI study. Neuroscience Letters, 692, 199–203. https://doi.org/10.1016/J.NEULET.2018.11.007

Article  PubMed  CAS  Google Scholar 

Ferrarini, L., Van Lew, B., Reiber, J. H. C., Gandin, C., Galluzzo, L., Scafato, E., et al. (2014). Hippocampal atrophy in people with memory deficits: Results from the population-based IPREA study. International Psychogeriatrics, 26(7), 1067–1081. https://doi.org/10.1017/S1041610213002627

Article  PubMed  Google Scholar 

Gabrieli, J. D. E. (1996). Memory systems analyses of mnemonic disorders in aging and age-related diseases. Proceedings of the National Academy of Sciences of the United States of America, 93(24), 13534–13540. https://doi.org/10.1073/pnas.93.24.13534

Article  PubMed  PubMed Central  CAS  Google Scholar 

Grefkes, C., & Fink, G. R. (2011). Reorganization of cerebral networks after stroke: New insights from neuroimaging with connectivity approaches. Brain : A Journal of Neurology, 134(Pt 5), 1264–1276. https://doi.org/10.1093/BRAIN/AWR033

Article  PubMed  Google Scholar 

Harikumar, A., Evans, D. W., Dougherty, C. C., Carpenter, K. L. H., & Michael, A. M. (2021). A Review of the Default Mode Network in Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder. Brain Connectivity, 11(4), 253–263. https://doi.org/10.1089/brain.2020.0865

Article  PubMed  PubMed Central  Google Scholar 

Huang, K. L., Hsiao, I. T., Ho, M. Y., Hsu, J. L., Chang, Y. J., Chang, T. Y., et al. (2020). Investigation of reactive astrogliosis effect on post-stroke cognitive impairment. Journal of neuroinflammation, 17(1). https://doi.org/10.1186/S12974-020-01985-0

Jiang, L., Geng, W., Chen, H., Zhang, H., Bo, F., Mao, C. N., et al. (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

Article  PubMed  Google Scholar 

Jung, J. Y., Laverick, R., Nader, K., Brown, T., Morris, H., Wilson, M., et al. (2021). Altered hippocampal functional connectivity patterns in patients with cognitive impairments following ischaemic stroke: A resting-state fMRI study. NeuroImage: Clinical, 32, 102742. https://doi.org/10.1016/j.nicl.2021.102742

Article  PubMed  Google Scholar 

Kliper, E., Ben Assayag, E., Korczyn, A. D., Auriel, E., Shopin, L., Hallevi, H., et al. (2016). Cognitive state following mild stroke: A matter of hippocampal mean diffusivity. Hippocampus, 26(2), 161–169. https://doi.org/10.1002/hipo.22500

Article  PubMed  Google Scholar 

Li, Y., Seger, C., Chen, Q., & Mo, L. (2020a). Left Inferior Frontal Gyrus Integrates Multisensory Information in Category Learning. Cerebral Cortex, 30(8), 4410–4423. https://doi.org/10.1093/cercor/bhaa029

Article  PubMed  Google Scholar 

Li, Y., Luo, H., Yu, L., Yin, L., Li, K., Li, Y., Fu, J. (2020b). Cerebral functional manipulation of repetitive transcranial magnetic stimulation in cognitive impairment patients after stroke: An fMRI Study. Front Neurol 11:977. https://doi.org/10.3389/fneur.2020.00977

Liu, J., Qin, W., Wang, H., Zhang, J., Rong, X., Zhang, X., & Yu, C. (2014). Altered spontaneous activity in the default-mode network and cognitive decline in chronic subcortical stroke. Journal Of The Neurological ScienceS, 347(1–2), 193–198. https://doi.org/10.1016/j.jns.2014.08.049

Article  PubMed  Google Scholar 

Liu, Jiao, Wang, Q., Liu, F., Song, H., Liang, X., Lin, Z., et al. (2017). Altered functional connectivity in patients with post-stroke memory impairment: A resting fMRI study. Experimental And Therapeutic Medicine, 14(3, A), 1919–1928. https://doi.org/10.3892/etm.2017.4751

Article  PubMed  PubMed Central  Google Scholar 

Lopes, R., Bournonville, C., Kuchcinski, G., Dondaine, T., Mendyk, A.-M., Viard, R., et al. (2021). Prediction of long-term cognitive function after minor stroke using functional connectivity. Neurology, 96(8), e1167–e1179. https://doi.org/10.1212/WNL.0000000000011452

Article  PubMed  Google Scholar 

Miao, G., Rao, B., Wang, S., Fang, P., Chen, Z., Chen, L., et al. (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. Frontiers in Neuroscience, 15, 796530. https://doi.org/10.3389/fnins.2021.796530

Article  PubMed  Google Scholar 

Min, Y., Liu, C., Zuo, L., Wang, Y., & Li, Z. (2022). The relationship between altered degree centrality and cognitive function in mild subcortical stroke: A resting-state fMRI study. Brain Research, 1798, 148125. https://doi.org/10.1016/j.brainres.2022.148125

Article  PubMed  CAS  Google Scholar 

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical Research ed.), 372. https://doi.org/10.1136/BMJ.N71

Park, J.-Y., Kim, Y.-H., Chang, W. H., Park, C.-H., Shin, Y. I. L., Kim, S. T., & Pascual-Leone, A. (2014). Significance of longitudinal changes in the default-mode network for cognitive recovery after stroke. The European Journal of Neuroscience, 40(4), 2715–2722. https://doi.org/10.1111/ejn.12640

Article  PubMed  Google Scholar 

Parsons, N., Bowden, S. C., Vogrin, S., & D’Souza, W. J. (2020). Default mode network dysfunction in idiopathic generalised epilepsy. Epilepsy Research, 159. https://doi.org/10.1016/j.eplepsyres.2019.106254

Pendlebury, S. T., & Rothwell, P. M. (2009). Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: A systematic review and meta-analysis. The Lancet Neurology, 8(11), 1006–1018. https://doi.org/10.1016/S1474-4422(09)70236-4

Article  PubMed  Google Scholar 

Peng, C.-Y., Chen, Y.-C., Cui, Y., Zhao, D.-L., Jiao, Y., Tang, T.-Y., et al. (2016). Regional coherence alterations revealed by resting-state fMRI in post-stroke patients with cognitive dysfunction. PLOS ONE, 11(7). https://doi.org/10.1371/journal.pone.0159574

Sexton, E., McLoughlin, A., Williams, D. J., Merriman, N. A., Donnelly, N., Rohde, D., et al. (2019). Systematic review and meta-analysis of the prevalence of cognitive impairment no dementia in the first year post-stroke. European Stroke Journal, 4(2), 160–171. https://doi.org/10.1177/2396987318825484