Aggleton, J. P. (2012). Multiple anatomical systems embedded within the primate medial temporal lobe: Implications for hippocampal function. Neuroscience & Biobehavioral Reviews, 36(7), 1579–1596. https://doi.org/10.1016/j.neubiorev.2011.09.005
Alexander, A. L., Hurley, S. A., Samsonov, A. A., Adluru, N., Hosseinbor, A. P., Mossahebi, P.,…Field, A. S. (2011). Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains. Brain Connect, 1(6), 423–446.
Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007). Diffusion tensor imaging of the brain. Neurotherapeutics, 4(3), 316–329. https://doi.org/10.1016/j.nurt.2007.05.011
Article PubMed PubMed Central Google Scholar
Assaf, Y., & Pasternak, O. (2008). Diffusion tensor imaging (DTI)-based white matter mapping in brain research: A review. Journal of Molecular Neuroscience, 34(1), 51–61. https://doi.org/10.1007/s12031-007-0029-0
Article CAS PubMed Google Scholar
Association, C. M. D. (2019). A guideline for the diagnosis and treatment of Chinese vascular cognitive impairment in 2019 [@@]. Chinese Medicine, 99(35), 2737–2744. https://doi.org/10.3760/cma.j.issn.0376-2491.2019.35.005
Baijot, J., Van Laethem, D., Denissen, S., Costers, L., Cambron, M., D'Haeseleer, M.,…Van Schependom, J. (2022). Radial diffusivity reflects general decline rather than specific cognitive deterioration in multiple sclerosis. Scientific reports, 12(1), 21771–21771. https://doi.org/10.1038/s41598-022-26204-z
Basser, P. J., Mattiello, J., & Lebihan, D. (1994). Estimation of the effective self-diffusion tensor from the NMR spin echo. Journal of Magnetic Resonance, Series B, 103(3), 247–254. https://doi.org/10.1006/jmrb.1994.1037
Article CAS PubMed Google Scholar
Beaulieu, C. (2002). The basis of anisotropic water diffusion in the nervous system – a technical review. NMR in Biomedicine, 15(7–8), 435–455. https://doi.org/10.1002/nbm.782
Blum, S., Luchsinger, J. A., Manly, J. J., Schupf, N., Stern, Y., Brown, T. R.,…Brickman, A. M. (2012). Memory after silent stroke. Neurology, 78(1), 38–46. https://doi.org/10.1212/WNL.0b013e31823ed0cc
Burke, M. J., Nelson, L., Slade, J. Y., Oakley, A. E., Khundakar, A. A., & Kalaria, R. N. (2014). Morphometry of the hippocampal microvasculature in post-stroke and age-related dementias [Journal Article; Research Support, Non-U.S. Gov’t]. Neuropathology and Applied Neurobiology, 40(3), 284–295. https://doi.org/10.1111/nan.12085
Article CAS PubMed PubMed Central Google Scholar
Cagol, A., Schaedelin, S., Barakovic, M., Benkert, P., Todea, R.-A., Rahmanzadeh, R.,…Granziera, C. (2022). Association of brain atrophy with disease progression independent of relapse activity in patients with relapsing multiple sclerosis. JAMA Neurology, 79(7), 682. https://doi.org/10.1001/jamaneurol.2022.1025
Chen, Z., Venkat, P., Seyfried, D., Chopp, M., Yan, T., & Chen, J. (2017). Brain-heart interaction. Circulation Research, 121(4), 451–468. https://doi.org/10.1161/circresaha.117.311170
Article CAS PubMed PubMed Central Google Scholar
Cuellar-Partida, G., Tung, J. Y., Eriksson, N., Albrecht, E., Aliev, F., Andreassen, O. A.,…Medland, S. E. (2021). Genome-wide association study identifies 48 common genetic variants associated with handedness. Nature Human Behaviour, 5(1), 59–70. https://doi.org/10.1038/s41562-020-00956-y
Debette, S., Seshadri, S., Beiser, A., Au, R., Himali, J. J., Palumbo, C.,…DeCarli, C. (2011). Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline. Neurology, 77(5), 461–468. https://doi.org/10.1212/WNL.0b013e318227b227
de Flores, R., La Joie, R., & Chételat, G. (2015). Structural imaging of hippocampal subfields in healthy aging and Alzheimer’s disease. Neuroscience, 309, 29–50. https://doi.org/10.1016/j.neuroscience.2015.08.033
Article CAS PubMed Google Scholar
Duering, M., Righart, R., Wollenweber, F. A., Zietemann, V., Gesierich, B., & Dichgans, M. (2015). Acute infarcts cause focal thinning in remote cortex via degeneration of connecting fiber tracts. Neurology, 84(16), 1685–1692. https://doi.org/10.1212/wnl.0000000000001502
Article PubMed PubMed Central Google Scholar
Ezama, L., Hernandez-Cabrera, J. A., Seoane, S., Pereda, E., & Janssen, N. (2021). Functional connectivity of the hippocampus and its subfields in resting-state networks [Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov’t]. European Journal of Neuroscience, 53(10), 3378–3393. https://doi.org/10.1111/ejn.15213
Article CAS PubMed Google Scholar
Feigin, V. L., Brainin, M., Norrving, B., Martins, S., Sacco, R. L., Hacke, W.,…Lindsay, P. (2022). World Stroke Organization (WSO): Global stroke fact sheet 2022. International Journal of Stroke, 17(1), 18–29. https://doi.org/10.1177/17474930211065917
Feldman, H. M., Yeatman, J. D., Lee, E. S., Barde, L. H., & Gaman-Bean, S. (2010). Diffusion tensor imaging: A review for pediatric researchers and clinicians. Journal of Developmental and Behavioral Pediatrics, 31(4), 346–356. https://doi.org/10.1097/DBP.0b013e3181dcaa8b
Article PubMed PubMed Central Google Scholar
Fjell, A. M., Westlye, L. T., Greve, D. N., Fischl, B., Benner, T., van der Kouwe, A. J. W.,…Walhovd, K. B. (2008). The relationship between diffusion tensor imaging and volumetry as measures of white matter properties. NeuroImage, 42(4), 1654–1668. https://doi.org/10.1016/j.neuroimage.2008.06.005
Gemmell, E., Bosomworth, H., Allan, L., Hall, R., Khundakar, A., Oakley, A. E.,…Kalaria, R. N. (2012). Hippocampal neuronal atrophy and cognitive function in delayed poststroke and aging-related dementias. Stroke, 43(3), 808–814. https://doi.org/10.1161/strokeaha.111.636498
Genon, S., Bernhardt, B. C., La Joie, R., Amunts, K., & Eickhoff, S. B. (2021). The many dimensions of human hippocampal organization and (dys)function. Trends in Neurosciences, 44(12), 977–989. https://doi.org/10.1016/j.tins.2021.10.003
Article CAS PubMed PubMed Central Google Scholar
He, Y., Hong, Y., & Wu, Y. (2024). Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome. NeuroImage, 303, 120904. https://doi.org/10.1016/j.neuroimage.2024.120904
Iglesias, J. E., Augustinack, J. C., Nguyen, K., Player, C. M., Player, A., Wright, M.,…Van Leemput, K. (2015). A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. NeuroImage, 115, 117–137. https://doi.org/10.1016/j.neuroimage.2015.04.042
Jack, C. R., Petersen, R. C., Xu, Y., O Brien, P. C., Smith, G. E., Ivnik, R. J.,…Kokmen, E. (2000). Rates of hippocampal atrophy correlate with change in clinical status in aging and AD. Neurology, 55(4), 484–490. https://doi.org/10.1212/wnl.55.4.484
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage, 17(2), 825–841.
Jung, J., Laverick, R., Nader, K., Brown, T., Morris, H., Wilson, M.,…Hosseini, A. A. (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
Khlif, M. S., Werden, E., Bird, L. J., Egorova-Brumley, N., & Brodtmann, A. (2022). Atrophy of ipsilesional hippocampal subfields vary over first year after ischemic stroke [Journal Article; Research Support, Non-U.S. Gov’t]. Journal of Magnetic Resonance Imaging, 56(1), 273–281. https://doi.org/10.1002/jmri.28009
Klawiter, E. C., Schmidt, R. E., Trinkaus, K., Liang, H.-F., Budde, M. D., Naismith, R. T.,…Benzinger, T. L. (2011). Radial diffusivity predicts demyelination in ex vivo multiple sclerosis spinal cords. NeuroImage, 55(4), 1454–1460. https://doi.org/10.1016/j.neuroimage.2011.01.007
Kuchcinski, G., Munsch, F., Lopes, R., Bigourdan, A., Su, J., Sagnier, S.,…Tourdias, T. (2017). Thalamic alterations remote to infarct appear as focal iron accumulation and impact clinical outcome [Journal Article]. Brain (London, England : 1878), 140(7), 1932–1946. https://doi.org/10.1093/brain/awx114
La Joie, R., Perrotin, A., de La Sayette, V., Egret, S., Doeuvre, L., Belliard, S.,…Chételat, G. (2013). Hippocampal subfield volumetry in mild cognitive impairment, Alzheimer's disease and semantic dementia. NeuroImage: Clinical, 3, 155–162. https://doi.org/10.1016/j.nicl.2013.08.007
Lansberg, M. G., O’Brien, M. W., Tong, D. C., Moseley, M. E., & Albers, G. W. (2001). Evolution of cerebral infarct volume assessed by diffusion-weighted magnetic resonance imaging. Archives of Neurology, 58(4), 613–617. https://doi.org/10.1001/archneur.58.4.613
Article CAS PubMed Google Scholar
Liang, L., Zhao, L., Wei, Y., Mai, W., Duan, G., Su, J.,…Kong, J. (2020). Structural and functional hippocampal changes in subjective cognitive decline from the community [Original Research]. Frontiers in Aging Neuroscience, 12. https://doi.org/10.3389/fnagi.2020.00064
Liew, S.-L., Zavaliangos-Petropulu, A., Jahanshad, N., Lang, C. E., Hayward, K. S., Lohse, K. R.,…Thompson, P. M. (2022). The ENIGMA stroke recovery working group: Big data neuroimaging to study brain–behavior relationships after stroke. Human Brain Mapping, 43(1), 129–148. https://doi.org/10.1002/hbm.25015
Liu, L., Xu, M., Marshall, I. J., Wolfe, C. D., Wang, Y., & O’Connell, M. D. (2023). Prevalence and natural history of depression after stroke: A systematic review and meta-analysis of observational studies. PLoS Medicine, 20(3), e1004200. https://doi.org/10.1371/journal.pmed.1004200
Article PubMed PubMed Central Google Scholar
Mehrabian, S., Raycheva, M., Petrova, N., Janyan, A., Petrova, M., & Traykov, L. (2015). Neuropsychological and neuroimaging markers in prediction of cognitive impairment after ischemic stroke: A prospective follow-up study [Journal Article]. Neuropsychiatric Disease and Treatment, 11, 2711–2719. https://doi.org/10.2147/ndt.S86366
Article PubMed PubMed Central Google Scholar
Mifsud, G., Zammit, C., Muscat, R., Di Giovanni, G., & Valentino, M. (2014). Oligodendrocyte pathophysiology and treatment strategies in cerebral ischemia. CNS Neuroscience & Therapeutics, 20(7), 603–612. https://doi.org/10.1111/cns.12263
Mijajlović, M. D., Pavlović, A., Brainin, M., Heiss, W.-D., Quinn, T. J., Ihle-Hansen, H. B.,…Bornstein, N. M. (2017). Post-stroke dementia – a comprehensive review. BMC Medicine, 15(1). https://doi.org/10.1186/s12916-017-0779-7
Mok, V. C. T., Lam, B. Y. K., Wong, A., Ko, H., Markus, H. S., & Wong, L. K. S. (2017). Early-onset and delayed-onset poststroke dementia — revisiting the mechanisms. Nature Reviews Neurology, 13(3), 148–159. https://doi.org/10.1038/nrneurol.2017.16
Moscovitch, M., Cabeza, R., Winocur, G., & Nadel, L. (2016). Episodic memory and beyond: The hippocampus and neocortex in transformation. Annual Review of Psychology, 67(1), 105–134. https://doi.org/10.1146/annurev-psych-113011-143733
Article PubMed PubMed Central Google Scholar
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
Comments (0)