{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T17:37:43Z","timestamp":1793813863863,"version":"4.6.1"},"reference-count":84,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T00:00:00Z","timestamp":1695772800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T00:00:00Z","timestamp":1695772800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Zhejiang Provincial Traditional Chinese Medicine Science Plan","award":["2020ZB028"],"award-info":[{"award-number":["2020ZB028"]}]},{"DOI":"10.13039\/501100017594","name":"Medical Science and Technology Project of Zhejiang Province","doi-asserted-by":"publisher","award":["2022KY067"],"award-info":[{"award-number":["2022KY067"]}],"id":[{"id":"10.13039\/501100017594","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["82272592"],"award-info":[{"award-number":["82272592"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Imaging and Behavior"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s11682-023-00805-2","type":"journal-article","created":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T01:02:13Z","timestamp":1695776533000},"page":"764-777","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Disentangling in-vivo microstructural changes of white and gray matter in mild cognitive impairment and Alzheimer\u2019s disease: a systematic review and meta-analysis"],"prefix":"10.1007","volume":"17","author":[{"given":"Shuchang","family":"Zhong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Lou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenyu","family":"Shu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ye","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangming","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,9,27]]},"reference":[{"key":"805_CR1","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1093\/brain\/awp257","volume":"133","author":"J Acosta-Cabronero","year":"2010","unstructured":"Acosta-Cabronero, J., Williams, G. B., Pengas, G., & Nestor, P. J. (2010). Absolute diffusivities define the landscape of white matter degeneration in Alzheimer\u2019s disease. Brain, 133, 529\u2013539. https:\/\/doi.org\/10.1093\/brain\/awp257","journal-title":"Brain"},{"key":"805_CR2","doi-asserted-by":"publisher","first-page":"941","DOI":"10.1007\/s12311-019-01060-2","volume":"18","author":"N Ahmadian","year":"2019","unstructured":"Ahmadian, N., van Baarsen, K., van Zandvoort, M., & Robe, P. A. (2019). The cerebellar cognitive affective syndrome-a meta-analysis. Cerebellum, 18, 941\u2013950. https:\/\/doi.org\/10.1007\/s12311-019-01060-2","journal-title":"Cerebellum"},{"key":"805_CR3","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1017\/s1092852918001347","volume":"24","author":"ND Anderson","year":"2019","unstructured":"Anderson, N. D. (2019). State of the science on mild cognitive impairment (MCI). CNS Spectrums, 24, 78\u201387. https:\/\/doi.org\/10.1017\/s1092852918001347","journal-title":"CNS Spectrums"},{"key":"805_CR4","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.neurobiolaging.2017.02.010","volume":"54","author":"AL Aziz","year":"2017","unstructured":"Aziz, A. L., Giusiano, B., Joubert, S., Duprat, L., Didic, M., Gueriot, C., Koric, L., Boucraut, J., Felician, O., Ranjeva, J. P., Guedj, E., & Ceccaldi, M. (2017). Difference in imaging biomarkers of neurodegeneration between early and late-onset amnestic Alzheimer\u2019s disease. Neurobiology of Aging, 54, 22\u201330. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2017.02.010","journal-title":"Neurobiology of Aging"},{"key":"805_CR5","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1002\/nbm.783","volume":"15","author":"PJ Basser","year":"2002","unstructured":"Basser, P. J., & Jones, D. K. (2002). Diffusion-tensor MRI: Theory, experimental design and data analysis - a technical review. NMR in Biomedicine, 15, 456\u2013467. https:\/\/doi.org\/10.1002\/nbm.783","journal-title":"NMR in Biomedicine"},{"key":"805_CR6","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1007\/s00259-019-04461-x","volume":"47","author":"C Bastin","year":"2020","unstructured":"Bastin, C., Bahri, M. A., Meyer, F., Manard, M., Delhaye, E., Plenevaux, A., Becker, G., Seret, A., Mella, C., Giacomelli, F., Degueldre, C., Balteau, E., Luxen, A., & Salmon, E. (2020). In vivo imaging of synaptic loss in Alzheimer\u2019s disease with [18F]UCB-H positron emission tomography. European Journal of Nuclear Medicine and Molecular Imaging, 47, 390\u2013402. https:\/\/doi.org\/10.1007\/s00259-019-04461-x","journal-title":"European Journal of Nuclear Medicine and Molecular Imaging"},{"key":"805_CR7","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1093\/brain\/awaa068","volume":"143","author":"D Berron","year":"2020","unstructured":"Berron, D., van Westen, D., Ossenkoppele, R., Strandberg, O., & Hansson, O. (2020). Medial temporal lobe connectivity and its associations with cognition in early Alzheimer\u2019s disease. Brain, 143, 1233\u20131248. https:\/\/doi.org\/10.1093\/brain\/awaa068","journal-title":"Brain"},{"key":"805_CR8","doi-asserted-by":"publisher","first-page":"2771","DOI":"10.1093\/brain\/awab114","volume":"144","author":"D Berron","year":"2021","unstructured":"Berron, D., Vogel, J. W., Insel, P. S., Pereira, J. B., Xie, L., Wisse, L. E. M., Yushkevich, P. A., Palmqvist, S., Mattsson-Carlgren, N., Stomrud, E., Smith, R., Strandberg, O., & Hansson, O. (2021). Early stages of tau pathology and its associations with functional connectivity, atrophy and memory. Brain, 144, 2771\u20132783. https:\/\/doi.org\/10.1093\/brain\/awab114","journal-title":"Brain"},{"key":"805_CR9","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.neubiorev.2018.05.008","volume":"92","author":"EJ Bubb","year":"2018","unstructured":"Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018). The cingulum bundle: Anatomy, function, and dysfunction. Neuroscience and Biobehavioral Reviews, 92, 104\u2013127. https:\/\/doi.org\/10.1016\/j.neubiorev.2018.05.008","journal-title":"Neuroscience and Biobehavioral Reviews"},{"key":"805_CR10","doi-asserted-by":"publisher","first-page":"e12218","DOI":"10.1002\/dad2.12218","volume":"13","author":"ML Carlson","year":"2021","unstructured":"Carlson, M. L., Toueg, T. N., Khalighi, M. M., Castillo, J., Shen, B., Azevedo, E. C., DiGiacomo, P., Mouchawar, N., Chau, G., Zaharchuk, G., James, M. L., Mormino, E. C., & Zeineh, M. M. (2021). Hippocampal subfield imaging and fractional anisotropy show parallel changes in Alzheimer\u2019s disease tau progression using simultaneous tau-PET\/MRI at 3T. Alzheimer\u2019s Dement (Amst), 13, e12218. https:\/\/doi.org\/10.1002\/dad2.12218","journal-title":"Alzheimer\u2019s Dement (Amst)"},{"key":"805_CR11","doi-asserted-by":"publisher","first-page":"S18","DOI":"10.3174\/ajnr.A3895","volume":"35","author":"SF Carter","year":"2014","unstructured":"Carter, S. F., Embleton, K. V., Anton-Rodriguez, J. M., Burns, A., Ralph, M. A., & Herholz, K. (2014). Regional neuronal network failure and cognition in late-onset sporadic Alzheimer disease. AJNR. American Journal of Neuroradiology, 35, S18-30. https:\/\/doi.org\/10.3174\/ajnr.A3895","journal-title":"AJNR. American Journal of Neuroradiology"},{"key":"805_CR12","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.biopsycho.2013.05.008","volume":"94","author":"L Chaddock-Heyman","year":"2013","unstructured":"Chaddock-Heyman, L., Erickson, K. I., Voss, M. W., Powers, J. P., Knecht, A. M., Pontifex, M. B., Drollette, E. S., Moore, R. D., Raine, L. B., Scudder, M. R., Hillman, C. H., & Kramer, A. F. (2013). White matter microstructure is associated with cognitive control in children. Biological Psychology, 94, 109\u2013115. https:\/\/doi.org\/10.1016\/j.biopsycho.2013.05.008","journal-title":"Biological Psychology"},{"key":"805_CR13","doi-asserted-by":"publisher","first-page":"750154","DOI":"10.3389\/fnagi.2021.750154","volume":"13","author":"L Chauveau","year":"2021","unstructured":"Chauveau, L., Kuhn, E., Palix, C., Felisatti, F., Ourry, V., de La Sayette, V., Ch\u00e9telat, G., & de Flores, R. (2021). Medial temporal lobe subregional atrophy in aging and Alzheimer\u2019s disease: A longitudinal study. Front Aging Neurosci, 13, 750154. https:\/\/doi.org\/10.3389\/fnagi.2021.750154","journal-title":"Front Aging Neurosci"},{"key":"805_CR14","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1016\/j.neurobiolaging.2008.06.015","volume":"31","author":"IH Choo","year":"2010","unstructured":"Choo, I. H., Lee, D. Y., Oh, J. S., Lee, J. S., Lee, D. S., Song, I. C., Youn, J. C., Kim, S. G., Kim, K. W., Jhoo, J. H., & Woo, J. I. (2010). Posterior cingulate cortex atrophy and regional cingulum disruption in mild cognitive impairment and Alzheimer\u2019s disease. Neurobiology of Aging, 31, 772\u2013779. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2008.06.015","journal-title":"Neurobiology of Aging"},{"key":"805_CR15","doi-asserted-by":"publisher","first-page":"102804","DOI":"10.1016\/j.nicl.2021.102804","volume":"32","author":"J Contador","year":"2021","unstructured":"Contador, J., P\u00e9rez-Mill\u00e1n, A., Tort-Merino, A., Balasa, M., Falg\u00e0s, N., Olives, J., Castellv\u00ed, M., Borrego-\u00c9cija, S., Bosch, B., Fern\u00e1ndez-Villullas, G., Ramos-Campoy, O., Antonell, A., Bargall\u00f3, N., Sanchez-Valle, R., Sala-Llonch, R., & Llad\u00f3, A. (2021). Longitudinal brain atrophy and CSF biomarkers in early-onset Alzheimer\u2019s disease. Neuroimage Clinical, 32, 102804. https:\/\/doi.org\/10.1016\/j.nicl.2021.102804","journal-title":"Neuroimage Clinical"},{"key":"805_CR16","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1007\/s00062-019-00805-0","volume":"30","author":"X Fu","year":"2020","unstructured":"Fu, X., Shrestha, S., Sun, M., Wu, Q., Luo, Y., Zhang, X., Yin, J., & Ni, H. (2020). Microstructural white matter alterations in mild cognitive impairment and Alzheimer\u2019s disease: Study Based on Neurite Orientation Dispersion and Density Imaging (NODDI). Clinical Neuroradiology, 30, 569\u2013579. https:\/\/doi.org\/10.1007\/s00062-019-00805-0","journal-title":"Clinical Neuroradiology"},{"key":"805_CR17","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1007\/s00062-022-01226-2","volume":"33","author":"X Fu","year":"2023","unstructured":"Fu, X., Wang, X., Zhang, Y., Li, T., Tan, Z., Chen, Y., Zhang, X., & Ni, H. (2023). Brain microstructural changes in patients with amnestic mild cognitive impairment: Detected by Neurite Orientation Dispersion and Density Imaging (NODDI) combined with machine learning. Clinical Neuroradiology, 33, 445\u2013453. https:\/\/doi.org\/10.1007\/s00062-022-01226-2","journal-title":"Clinical Neuroradiology"},{"key":"805_CR18","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1016\/j.neuroimage.2018.02.017","volume":"182","author":"H Fukutomi","year":"2018","unstructured":"Fukutomi, H., Glasser, M. F., Zhang, H., Autio, J. A., Coalson, T. S., Okada, T., Togashi, K., Van Essen, D. C., & Hayashi, T. (2018). Neurite imaging reveals microstructural variations in human cerebral cortical gray matter. NeuroImage, 182, 488\u2013499. https:\/\/doi.org\/10.1016\/j.neuroimage.2018.02.017","journal-title":"NeuroImage"},{"key":"805_CR19","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1002\/alz.12410","volume":"18","author":"A Garnier-Crussard","year":"2022","unstructured":"Garnier-Crussard, A., Bougacha, S., Wirth, M., Dautricourt, S., Sherif, S., Landeau, B., Gonneaud, J., De Flores, R., de la Sayette, V., Vivien, D., Krolak-Salmon, P., & Ch\u00e9telat, G. (2022). White matter hyperintensity topography in Alzheimer\u2019s disease and links to cognition. Alzheimer\u2019s & Dementia, 18, 422\u2013433. https:\/\/doi.org\/10.1002\/alz.12410","journal-title":"Alzheimer's & Dementia"},{"key":"805_CR20","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/978-3-319-70046-5_12","volume":"225","author":"R Gattass","year":"2018","unstructured":"Gattass, R., Soares, J. G. M., & Lima, B. (2018). The role of the Pulvinar in spatial visual attention. Advances in Anatomy, Embryology and Cell Biology, 225, 57\u201360. https:\/\/doi.org\/10.1007\/978-3-319-70046-5_12","journal-title":"Advances in Anatomy, Embryology and Cell Biology"},{"key":"805_CR21","doi-asserted-by":"publisher","first-page":"5570","DOI":"10.1093\/cercor\/bhab180","volume":"31","author":"E Gozdas","year":"2021","unstructured":"Gozdas, E., Fingerhut, H., Dacorro, L., Bruno, J. L., & Hosseini, S. M. H. (2021). Neurite imaging reveals widespread alterations in gray and white matter neurite morphology in healthy aging and amnestic mild cognitive impairment. Cerebral Cortex, 31, 5570\u20135578. https:\/\/doi.org\/10.1093\/cercor\/bhab180","journal-title":"Cerebral Cortex"},{"key":"805_CR22","doi-asserted-by":"publisher","first-page":"2912","DOI":"10.1093\/brain\/awx247","volume":"140","author":"T Granberg","year":"2017","unstructured":"Granberg, T., Fan, Q., Treaba, C. A., Ouellette, R., Herranz, E., Mangeat, G., Louapre, C., Cohen-Adad, J., Klawiter, E. C., Sloane, J. A., & Mainero, C. (2017). In vivo characterization of cortical and white matter neuroaxonal pathology in early multiple sclerosis. Brain, 140, 2912\u20132926. https:\/\/doi.org\/10.1093\/brain\/awx247","journal-title":"Brain"},{"key":"805_CR23","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1016\/j.neuroimage.2018.01.082","volume":"172","author":"X Guell","year":"2018","unstructured":"Guell, X., Gabrieli, J. D. E., & Schmahmann, J. D. (2018). Triple representation of language, working memory, social and emotion processing in the cerebellum: Convergent evidence from task and seed-based resting-state fMRI analyses in a single large cohort. NeuroImage, 172, 437\u2013449. https:\/\/doi.org\/10.1016\/j.neuroimage.2018.01.082","journal-title":"NeuroImage"},{"key":"805_CR24","doi-asserted-by":"publisher","first-page":"1642","DOI":"10.3174\/ajnr.A6209","volume":"40","author":"A Hagiwara","year":"2019","unstructured":"Hagiwara, A., Kamagata, K., Shimoji, K., Yokoyama, K., Andica, C., Hori, M., Fujita, S., Maekawa, T., Irie, R., Akashi, T., Wada, A., Suzuki, M., Abe, O., Hattori, N., & Aoki, S. (2019). White matter abnormalities in multiple sclerosis evaluated by quantitative synthetic MRI, diffusion tensor imaging, and neurite orientation dispersion and density imaging. AJNR. American Journal of Neuroradiology, 40, 1642\u20131648. https:\/\/doi.org\/10.3174\/ajnr.A6209","journal-title":"AJNR. American Journal of Neuroradiology"},{"key":"805_CR25","doi-asserted-by":"publisher","first-page":"179","DOI":"10.3233\/jad-210495","volume":"84","author":"F He","year":"2021","unstructured":"He, F., Zhang, Y., Wu, X., Li, Y., Zhao, J., Fang, P., Fan, L., Li, C., Liu, T., & Wang, J. (2021). Early microstructure changes of white matter fiber bundles in patients with amnestic mild cognitive impairment predicts progression of mild cognitive impairment to Alzheimer\u2019s disease. Journal of Alzheimer\u2019s Disease, 84, 179\u2013192. https:\/\/doi.org\/10.3233\/jad-210495","journal-title":"Journal of Alzheimer's Disease"},{"key":"805_CR26","doi-asserted-by":"publisher","first-page":"8461235","DOI":"10.1155\/2022\/8461235","volume":"2022","author":"P He","year":"2022","unstructured":"He, P., Qu, H., Cai, M., Liu, W., Gu, X., & Ma, Q. (2022). Structural alteration of medial temporal lobe subfield in the amnestic mild cognitive impairment stage of Alzheimer\u2019s disease. Neural Plasticity, 2022, 8461235. https:\/\/doi.org\/10.1155\/2022\/8461235","journal-title":"Neural Plasticity"},{"key":"805_CR27","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1016\/j.nicl.2017.10.005","volume":"17","author":"J Henf","year":"2018","unstructured":"Henf, J., Grothe, M. J., Brueggen, K., Teipel, S., & Dyrba, M. (2018). Mean diffusivity in cortical gray matter in Alzheimer\u2019s disease: The importance of partial volume correction. Neuroimage Clin, 17, 579\u2013586. https:\/\/doi.org\/10.1016\/j.nicl.2017.10.005","journal-title":"Neuroimage Clin"},{"key":"805_CR28","unstructured":"Higgins, J., Thomas, J., Li, T., Page, M., Welch, V. Cumpston, M. (2011). Cochrane handbook for systematic reviews of interventions. Version 5.1.0. Available from\u00a0http:\/\/handbook.cochrane.org\/. Accessed 15 March 2022"},{"key":"805_CR29","doi-asserted-by":"publisher","first-page":"3576","DOI":"10.1002\/hbm.25455","volume":"42","author":"E Iannopollo","year":"2021","unstructured":"Iannopollo, E., & Garcia, K. (2021). Enhanced detection of cortical atrophy in Alzheimer\u2019s disease using structural MRI with anatomically constrained longitudinal registration. Human Brain Mapping, 42, 3576\u20133592. https:\/\/doi.org\/10.1002\/hbm.25455","journal-title":"Human Brain Mapping"},{"key":"805_CR30","doi-asserted-by":"publisher","first-page":"1556","DOI":"10.4103\/1673-5374.255977","volume":"14","author":"SH Jang","year":"2019","unstructured":"Jang, S. H., Kim, S. H., & Lee, H. D. (2019). Traumatic axonal injury of the cingulum in patients with mild traumatic brain injury: A diffusion tensor tractography study. Neural Regeneration Research, 14, 1556\u20131561. https:\/\/doi.org\/10.4103\/1673-5374.255977","journal-title":"Neural Regeneration Research"},{"key":"805_CR31","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.2174\/1567205015666180813145935","volume":"15","author":"Z Jiang","year":"2018","unstructured":"Jiang, Z., Yang, H., & Tang, X. (2018). Deformation-based statistical shape analysis of the corpus callosum in mild cognitive impairment and Alzheimer\u2019s disease. Current Alzheimer Research, 15, 1151\u20131160. https:\/\/doi.org\/10.2174\/1567205015666180813145935","journal-title":"Current Alzheimer Research"},{"key":"805_CR32","doi-asserted-by":"publisher","first-page":"108908","DOI":"10.1016\/j.jneumeth.2020.108908","volume":"346","author":"K Kamiya","year":"2020","unstructured":"Kamiya, K., Hori, M., & Aoki, S. (2020). NODDI in clinical research. Journal of Neuroscience Methods, 346, 108908. https:\/\/doi.org\/10.1016\/j.jneumeth.2020.108908","journal-title":"Journal of Neuroscience Methods"},{"key":"805_CR33","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1186\/s40478-022-01319-6","volume":"10","author":"K Kantarci","year":"2022","unstructured":"Kantarci, K., Whitwell, J. L., Josephs, K. A., Jack, C. R., Jr., & Vemuri, P. (2022). White matter damage due to vascular, tau, and TDP-43 pathologies and its relevance to cognition. Acta Neuropathologica Communications, 10, 16. https:\/\/doi.org\/10.1186\/s40478-022-01319-6","journal-title":"Acta Neuropathologica Communications"},{"key":"805_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neures.2017.04.005","volume":"121","author":"T Kitamura","year":"2017","unstructured":"Kitamura, T. (2017). Driving and regulating temporal association learning coordinated by entorhinal-hippocampal network. Neuroscience Research, 121, 1\u20136. https:\/\/doi.org\/10.1016\/j.neures.2017.04.005","journal-title":"Neuroscience Research"},{"key":"805_CR35","doi-asserted-by":"publisher","first-page":"135349","DOI":"10.1016\/j.neulet.2020.135349","volume":"738","author":"D Koshiyama","year":"2020","unstructured":"Koshiyama, D., Fukunaga, M., Okada, N., Morita, K., Nemoto, K., Yamashita, F., Yamamori, H., Yasuda, Y., Matsumoto, J., Fujimoto, M., Kudo, N., Azechi, H., Watanabe, Y., Kasai, K., & Hashimoto, R. (2020). Association between the superior longitudinal fasciculus and perceptual organization and working memory: A diffusion tensor imaging study. Neuroscience Letters, 738, 135349. https:\/\/doi.org\/10.1016\/j.neulet.2020.135349","journal-title":"Neuroscience Letters"},{"key":"805_CR36","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1111\/ene.13439","volume":"25","author":"CA Lane","year":"2018","unstructured":"Lane, C. A., Hardy, J., & Schott, J. M. (2018). Alzheimer\u2019s disease. European Journal of Neurology, 25, 59\u201370. https:\/\/doi.org\/10.1111\/ene.13439","journal-title":"European Journal of Neurology"},{"key":"805_CR37","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.brainresbull.2018.09.010","volume":"143","author":"Y Li","year":"2018","unstructured":"Li, Y., Feng, F., Lin, P., Huang, Z. G., Liu, T., Zhou, B., Yao, H., Zheng, L., Li, C., Wang, P., Zhang, Z., Guo, Y., Wang, L., An, N., Zhu, X., Zhang, X., & Wang, J. (2018). Cognition-related white matter integrity dysfunction in Alzheimer\u2019s disease with diffusion tensor image. Brain Research Bulletin, 143, 207\u2013216. https:\/\/doi.org\/10.1016\/j.brainresbull.2018.09.010","journal-title":"Brain Research Bulletin"},{"key":"805_CR38","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.brainres.2014.03.012","volume":"1562","author":"KM Madhavan","year":"2014","unstructured":"Madhavan, K. M., McQueeny, T., Howe, S. R., Shear, P., & Szaflarski, J. (2014). Superior longitudinal fasciculus and language functioning in healthy aging. Brain Research, 1562, 11\u201322. https:\/\/doi.org\/10.1016\/j.brainres.2014.03.012","journal-title":"Brain Research"},{"key":"805_CR39","doi-asserted-by":"publisher","first-page":"739","DOI":"10.3389\/fneur.2017.00739","volume":"8","author":"J Manuello","year":"2017","unstructured":"Manuello, J., Nani, A., Premi, E., Borroni, B., Costa, T., Tatu, K., Liloia, D., Duca, S., & Cauda, F. (2017). The pathoconnectivity profile of Alzheimer\u2019s disease: A morphometric coalteration network analysis. Frontiers in Neurology, 8, 739. https:\/\/doi.org\/10.3389\/fneur.2017.00739","journal-title":"Frontiers in Neurology"},{"key":"805_CR40","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/b978-0-444-63916-5.00017-3","volume":"159","author":"JF Marsden","year":"2018","unstructured":"Marsden, J. F. (2018). Cerebellar ataxia. Handbook of Clinical Neurology, 159, 261\u2013281. https:\/\/doi.org\/10.1016\/b978-0-444-63916-5.00017-3","journal-title":"Handbook of Clinical Neurology"},{"key":"805_CR41","doi-asserted-by":"publisher","first-page":"974","DOI":"10.1002\/alz.12097","volume":"16","author":"AP Mecca","year":"2020","unstructured":"Mecca, A. P., Chen, M. K., O\u2019Dell, R. S., Naganawa, M., Toyonaga, T., Godek, T. A., Harris, J. E., Bartlett, H. H., Zhao, W., Nabulsi, N. B., Wyk, B. C. V., Varma, P., Arnsten, A. F. T., Huang, Y., Carson, R. E., & van Dyck, C. H. (2020). In vivo measurement of widespread synaptic loss in Alzheimer\u2019s disease with SV2A PET. Alzheimer\u2019s & Dementia, 16, 974\u2013982. https:\/\/doi.org\/10.1002\/alz.12097","journal-title":"Alzheimer's & Dementia"},{"key":"805_CR42","doi-asserted-by":"publisher","first-page":"17612","DOI":"10.1523\/jneurosci.3299-12.2012","volume":"32","author":"C Metzler-Baddeley","year":"2012","unstructured":"Metzler-Baddeley, C., Jones, D. K., Steventon, J., Westacott, L., Aggleton, J. P., & O\u2019Sullivan, M. J. (2012). Cingulum microstructure predicts cognitive control in older age and mild cognitive impairment. Journal of Neuroscience, 32, 17612\u201317619. https:\/\/doi.org\/10.1523\/jneurosci.3299-12.2012","journal-title":"Journal of Neuroscience"},{"key":"805_CR43","doi-asserted-by":"publisher","first-page":"102367","DOI":"10.1016\/j.nicl.2020.102367","volume":"28","author":"K Misquitta","year":"2020","unstructured":"Misquitta, K., Dadar, M., Louis Collins, D., & Tartaglia, M. C. (2020). White matter hyperintensities and neuropsychiatric symptoms in mild cognitive impairment and Alzheimer\u2019s disease. Neuroimage Clinical, 28, 102367. https:\/\/doi.org\/10.1016\/j.nicl.2020.102367","journal-title":"Neuroimage Clinical"},{"key":"805_CR44","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1111\/j.1600-0447.2008.01326.x","volume":"119","author":"AJ Mitchell","year":"2009","unstructured":"Mitchell, A. J., & Shiri-Feshki, M. (2009). Rate of progression of mild cognitive impairment to dementia\u2013meta-analysis of 41 robust inception cohort studies. Acta Psychiatrica Scandinavica, 119, 252\u2013265. https:\/\/doi.org\/10.1111\/j.1600-0447.2008.01326.x","journal-title":"Acta Psychiatrica Scandinavica"},{"key":"805_CR45","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.jalz.2017.09.013","volume":"14","author":"V Montal","year":"2018","unstructured":"Montal, V., Vilaplana, E., Alcolea, D., Pegueroles, J., Pasternak, O., Gonz\u00e1lez-Ortiz, S., Clarim\u00f3n, J., Carmona-Iragui, M., Ill\u00e1n-Gala, I., Morenas-Rodr\u00edguez, E., Ribosa-Nogu\u00e9, R., Sala, I., S\u00e1nchez-Saudin\u00f3s, M. B., Garc\u00eda-Sebastian, M., Villan\u00faa, J., Izagirre, A., Estanga, A., Ecay-Torres, M., Iriondo, A., \u2026 Fortea, J. (2018). Cortical microstructural changes along the Alzheimer\u2019s disease continuum. Alzheimer\u2019s & Dementia, 14, 340\u2013351. https:\/\/doi.org\/10.1016\/j.jalz.2017.09.013","journal-title":"Alzheimer's & Dementia"},{"key":"805_CR46","doi-asserted-by":"publisher","unstructured":"Park, C. H., Kim, S. H.Jung, H. Y. (2019). Characteristics of the uncinate fasciculus and cingulum in patients with mild cognitive impairment: Diffusion tensor tractography study. Brain Science, 9. https:\/\/doi.org\/10.3390\/brainsci9120377","DOI":"10.3390\/brainsci9120377"},{"key":"805_CR47","doi-asserted-by":"publisher","first-page":"3005","DOI":"10.1002\/hbm.24056","volume":"39","author":"TD Parker","year":"2018","unstructured":"Parker, T. D., Slattery, C. F., Zhang, J., Nicholas, J. M., Paterson, R. W., Foulkes, A. J. M., Malone, I. B., Thomas, D. L., Modat, M., Cash, D. M., Crutch, S. J., Alexander, D. C., Ourselin, S., Fox, N. C., Zhang, H., & Schott, J. M. (2018). Cortical microstructure in young onset Alzheimer\u2019s disease using neurite orientation dispersion and density imaging. Human Brain Mapping, 39, 3005\u20133017. https:\/\/doi.org\/10.1002\/hbm.24056","journal-title":"Human Brain Mapping"},{"key":"805_CR48","doi-asserted-by":"publisher","first-page":"118749","DOI":"10.1016\/j.neuroimage.2021.118749","volume":"245","author":"CS Parker","year":"2021","unstructured":"Parker, C. S., Veale, T., Bocchetta, M., Slattery, C. F., Malone, I. B., Thomas, D. L., Schott, J. M., Cash, D. M., & Zhang, H. (2021). Not all voxels are created equal: Reducing estimation bias in regional NODDI metrics using tissue-weighted means. Neuroimage, 245, 118749. https:\/\/doi.org\/10.1016\/j.neuroimage.2021.118749","journal-title":"Neuroimage"},{"key":"805_CR49","doi-asserted-by":"publisher","first-page":"638","DOI":"10.1007\/978-3-319-66182-7_73","volume":"10433","author":"P Parvathaneni","year":"2017","unstructured":"Parvathaneni, P., Rogers, B. P., Huo, Y., Schilling, K. G., Hainline, A. E., Anderson, A. W., Woodward, N. D., & Landman, B. A. (2017). Gray Matter Surface based Spatial Statistics (GS-BSS) in diffusion microstructure. Medical Image Computing and Computer-Assist Intervention, 10433, 638\u2013646. https:\/\/doi.org\/10.1007\/978-3-319-66182-7_73","journal-title":"Medical Image Computing and Computer-Assist Intervention"},{"key":"805_CR50","doi-asserted-by":"publisher","first-page":"1435","DOI":"10.1007\/s13760-020-01322-5","volume":"121","author":"L Qin","year":"2021","unstructured":"Qin, L., Guo, Z., McClure, M. A., & Mu, Q. (2021). White matter changes from mild cognitive impairment to Alzheimer\u2019s disease: a meta-analysis. Acta Neurol Belg, 121, 1435\u20131447. https:\/\/doi.org\/10.1007\/s13760-020-01322-5","journal-title":"Acta Neurol Belg"},{"key":"805_CR51","doi-asserted-by":"publisher","first-page":"949","DOI":"10.3233\/jad-200721","volume":"77","author":"TT Quach","year":"2020","unstructured":"Quach, T. T., Moutal, A., Khanna, R., Deems, N. P., Duchemin, A. M., & Barrientos, R. M. (2020). Collapsin response mediator proteins: Novel targets for Alzheimer\u2019s disease. Journal of Alzheimer\u2019s Disease, 77, 949\u2013960. https:\/\/doi.org\/10.3233\/jad-200721","journal-title":"Journal of Alzheimer's Disease"},{"key":"805_CR52","doi-asserted-by":"publisher","first-page":"fcab106","DOI":"10.1093\/braincomms\/fcab106","volume":"3","author":"S Raghavan","year":"2021","unstructured":"Raghavan, S., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Graff-Radford, J., Schwarz, C. G., Knopman, D. S., Mielke, M. M., Machulda, M. M., Petersen, R. C., Jack, C. R., Jr., & Vemuri, P. (2021). Diffusion models reveal white matter microstructural changes with ageing, pathology and cognition. Brain Communications, 3, fcab106. https:\/\/doi.org\/10.1093\/braincomms\/fcab106","journal-title":"Brain Communications"},{"key":"805_CR53","doi-asserted-by":"publisher","first-page":"482","DOI":"10.1016\/j.nicl.2015.01.014","volume":"7","author":"F R\u00e9my","year":"2015","unstructured":"R\u00e9my, F., Vayssi\u00e8re, N., Saint-Aubert, L., Barbeau, E., & Pariente, J. (2015). White matter disruption at the prodromal stage of Alzheimer\u2019s disease: Relationships with hippocampal atrophy and episodic memory performance. Neuroimage Clinical, 7, 482\u2013492. https:\/\/doi.org\/10.1016\/j.nicl.2015.01.014","journal-title":"Neuroimage Clinical"},{"key":"805_CR54","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1002\/jmri.21231","volume":"27","author":"SE Rose","year":"2008","unstructured":"Rose, S. E., Janke, A. L., & Chalk, J. B. (2008). Gray and white matter changes in Alzheimer\u2019s disease: A diffusion tensor imaging study. Journal of Magnetic Resonance Imaging, 27, 20\u201326. https:\/\/doi.org\/10.1002\/jmri.21231","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"805_CR55","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.conb.2014.10.008","volume":"32","author":"T Sasaki","year":"2015","unstructured":"Sasaki, T., Leutgeb, S., & Leutgeb, J. K. (2015). Spatial and memory circuits in the medial entorhinal cortex. Current Opinion in Neurobiology, 32, 16\u201323. https:\/\/doi.org\/10.1016\/j.conb.2014.10.008","journal-title":"Current Opinion in Neurobiology"},{"key":"805_CR56","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.neulet.2018.07.005","volume":"688","author":"JD Schmahmann","year":"2019","unstructured":"Schmahmann, J. D. (2019). The cerebellum and cognition. Neuroscience Letters, 688, 62\u201375. https:\/\/doi.org\/10.1016\/j.neulet.2018.07.005","journal-title":"Neuroscience Letters"},{"key":"805_CR57","doi-asserted-by":"publisher","first-page":"102567","DOI":"10.1016\/j.nicl.2021.102567","volume":"29","author":"TM Setiadi","year":"2021","unstructured":"Setiadi, T. M., Martens, S., Opmeer, E. M., Marsman, J. C., Tumati, S., Reesink, F. E., De Deyn, P. P., Aleman, A., & \u0106ur\u010di\u0107-Blake, B. (2021). Widespread white matter aberration is associated with the severity of apathy in amnestic Mild Cognitive Impairment: Tract-based spatial statistics analysis. Neuroimage Clinical, 29, 102567. https:\/\/doi.org\/10.1016\/j.nicl.2021.102567","journal-title":"Neuroimage Clinical"},{"key":"805_CR58","doi-asserted-by":"publisher","first-page":"2322.e5","DOI":"10.1016\/j.neurobiolaging.2010.05.019","volume":"32","author":"CE Sexton","year":"2011","unstructured":"Sexton, C. E., Kalu, U. G., Filippini, N., Mackay, C. E., & Ebmeier, K. P. (2011). A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer\u2019s disease. Neurobiology of Aging, 32, 2322.e5\u201318. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2010.05.019","journal-title":"Neurobiology of Aging"},{"key":"805_CR59","doi-asserted-by":"publisher","first-page":"fcac051","DOI":"10.1093\/braincomms\/fcac051","volume":"4","author":"AT Shafer","year":"2022","unstructured":"Shafer, A. T., Williams, O. A., Perez, E., An, Y., Landman, B. A., Ferrucci, L., & Resnick, S. M. (2022). Accelerated decline in white matter microstructure in subsequently impaired older adults and its relationship with cognitive decline. Brain Communications, 4, fcac051. https:\/\/doi.org\/10.1093\/braincomms\/fcac051","journal-title":"Brain Communications"},{"key":"805_CR60","doi-asserted-by":"publisher","first-page":"2149","DOI":"10.1093\/brain\/awac138","volume":"145","author":"SS Shahid","year":"2022","unstructured":"Shahid, S. S., Wen, Q., Risacher, S. L., Farlow, M. R., Unverzagt, F. W., Apostolova, L. G., Foroud, T. M., Zetterberg, H., Blennow, K., Saykin, A. J., & Wu, Y. C. (2022). Hippocampal-subfield microstructures and their relation to plasma biomarkers in Alzheimer\u2019s disease. Brain, 145, 2149\u20132160. https:\/\/doi.org\/10.1093\/brain\/awac138","journal-title":"Brain"},{"key":"805_CR61","doi-asserted-by":"publisher","first-page":"218","DOI":"10.12015\/issn.1674-8034.2016.03.011","volume":"7","author":"H Shao","year":"2016","unstructured":"Shao, H. (2016). A new diffusion imaging technique was used to study the effect of aging on brain microstructure. Chinese Journal of Magnetic Resonance Imaging, 7, 218\u2013225. https:\/\/doi.org\/10.12015\/issn.1674-8034.2016.03.011","journal-title":"Chinese Journal of Magnetic Resonance Imaging"},{"key":"805_CR62","doi-asserted-by":"publisher","first-page":"2674","DOI":"10.1038\/s41380-022-01531-9","volume":"27","author":"DW Sirkis","year":"2022","unstructured":"Sirkis, D. W., Bonham, L. W., Johnson, T. P., La Joie, R., & Yokoyama, J. S. (2022). Dissecting the clinical heterogeneity of early-onset Alzheimer\u2019s disease. Molecular Psychiatry, 27, 2674\u20132688. https:\/\/doi.org\/10.1038\/s41380-022-01531-9","journal-title":"Molecular Psychiatry"},{"key":"805_CR63","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.neurobiolaging.2017.04.021","volume":"57","author":"CF Slattery","year":"2017","unstructured":"Slattery, C. F., Zhang, J., Paterson, R. W., Foulkes, A. J. M., Carton, A., Macpherson, K., Mancini, L., Thomas, D. L., Modat, M., Toussaint, N., Cash, D. M., Thornton, J. S., Henley, S. M. D., Crutch, S. J., Alexander, D. C., Ourselin, S., Fox, N. C., Zhang, H., & Schott, J. M. (2017). ApoE influences regional white-matter axonal density loss in Alzheimer\u2019s disease. Neurobiology of Aging, 57, 8\u201317. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2017.04.021","journal-title":"Neurobiology of Aging"},{"key":"805_CR64","doi-asserted-by":"publisher","first-page":"e12125","DOI":"10.1002\/dad2.12125","volume":"12","author":"D Sone","year":"2020","unstructured":"Sone, D., Shigemoto, Y., Ogawa, M., Maikusa, N., Okita, K., Takano, H., Kato, K., Sato, N., & Matsuda, H. (2020). Association between neurite metrics and tau\/inflammatory pathology in Alzheimer\u2019s disease. Alzheimer\u2019s & Dementia (Amst), 12, e12125. https:\/\/doi.org\/10.1002\/dad2.12125","journal-title":"Alzheimer\u2019s & Dementia (Amst)"},{"key":"805_CR65","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1007\/s10654-010-9491-z","volume":"25","author":"A Stang","year":"2010","unstructured":"Stang, A. (2010). Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. European Journal of Epidemiology, 25, 603\u2013605. https:\/\/doi.org\/10.1007\/s10654-010-9491-z","journal-title":"European Journal of Epidemiology"},{"key":"805_CR66","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1111\/psyg.12498","volume":"20","author":"M Takahashi","year":"2020","unstructured":"Takahashi, M., Kitamura, S., Matsuoka, K., Yoshikawa, H., Yasuno, F., Makinodan, M., Kimoto, S., Miyasaka, T., Kichikawa, K., & Kishimoto, T. (2020). Uncinate fasciculus disruption relates to poor recognition of negative facial emotions in Alzheimer\u2019s disease: A cross-sectional diffusion tensor imaging study. Psychogeriatrics, 20, 296\u2013303. https:\/\/doi.org\/10.1111\/psyg.12498","journal-title":"Psychogeriatrics"},{"key":"805_CR67","doi-asserted-by":"publisher","first-page":"1875","DOI":"10.1002\/hbm.23491","volume":"38","author":"X Tang","year":"2017","unstructured":"Tang, X., Qin, Y., Zhu, W., & Miller, M. I. (2017). Surface-based vertexwise analysis of morphometry and microstructural integrity for white matter tracts in diffusion tensor imaging: With application to the corpus callosum in Alzheimer\u2019s disease. Human Brain Mapping, 38, 1875\u20131893. https:\/\/doi.org\/10.1002\/hbm.23491","journal-title":"Human Brain Mapping"},{"key":"805_CR68","doi-asserted-by":"publisher","first-page":"1687","DOI":"10.1177\/1352458517730132","volume":"24","author":"SM Tobyne","year":"2018","unstructured":"Tobyne, S. M., Ochoa, W. B., Bireley, J. D., Smith, V. M., Geurts, J. J., Schmahmann, J. D., & Klawiter, E. C. (2018). Cognitive impairment and the regional distribution of cerebellar lesions in multiple sclerosis. Multiple Sclerosis, 24, 1687\u20131695. https:\/\/doi.org\/10.1177\/1352458517730132","journal-title":"Multiple Sclerosis"},{"key":"805_CR69","doi-asserted-by":"publisher","first-page":"615","DOI":"10.3233\/jad-191125","volume":"74","author":"S Toniolo","year":"2020","unstructured":"Toniolo, S., Serra, L., Olivito, G., Caltagirone, C., Mercuri, N. B., Marra, C., Cercignani, M., & Bozzali, M. (2020). Cerebellar white matter disruption in Alzheimer\u2019s Disease patients: A diffusion tensor imaging study. Journal of Alzheimer\u2019s Disease, 74, 615\u2013624. https:\/\/doi.org\/10.3233\/jad-191125","journal-title":"Journal of Alzheimer's Disease"},{"key":"805_CR70","doi-asserted-by":"publisher","first-page":"705","DOI":"10.3233\/jad-210173","volume":"83","author":"LA van de Mortel","year":"2021","unstructured":"van de Mortel, L. A., Thomas, R. M., & van Wingen, G. A. (2021). Grey matter loss at different stages of cognitive decline: A role for the thalamus in developing Alzheimer\u2019s disease. Journal of Alzheimer\u2019s Disease, 83, 705\u2013720. https:\/\/doi.org\/10.3233\/jad-210173","journal-title":"Journal of Alzheimer's Disease"},{"key":"805_CR71","doi-asserted-by":"publisher","first-page":"fcab272","DOI":"10.1093\/braincomms\/fcab272","volume":"3","author":"T Veale","year":"2021","unstructured":"Veale, T., Malone, I. B., Poole, T., Parker, T. D., Slattery, C. F., Paterson, R. W., Foulkes, A. J. M., Thomas, D. L., Schott, J. M., Zhang, H., Fox, N. C., & Cash, D. M. (2021). Loss and dispersion of superficial white matter in Alzheimer\u2019s disease: a diffusion MRI study. Brain Communications, 3, fcab272. https:\/\/doi.org\/10.1093\/braincomms\/fcab272","journal-title":"Brain Communications"},{"key":"805_CR72","doi-asserted-by":"publisher","first-page":"3301","DOI":"10.1093\/brain\/awq203","volume":"133","author":"N Villain","year":"2010","unstructured":"Villain, N., Fouquet, M., Baron, J. C., M\u00e9zenge, F., Landeau, B., de La Sayette, V., Viader, F., Eustache, F., Desgranges, B., & Ch\u00e9telat, G. (2010). Sequential relationships between grey matter and white matter atrophy and brain metabolic abnormalities in early Alzheimer\u2019s disease. Brain, 133, 3301\u20133314. https:\/\/doi.org\/10.1093\/brain\/awq203","journal-title":"Brain"},{"key":"805_CR73","doi-asserted-by":"publisher","first-page":"2948","DOI":"10.1093\/cercor\/bhz286","volume":"30","author":"NM Vogt","year":"2020","unstructured":"Vogt, N. M., Hunt, J. F., Adluru, N., Dean, D. C., Johnson, S. C., Asthana, S., Yu, J. J., Alexander, A. L., & Bendlin, B. B. (2020). Cortical microstructural alterations in mild cognitive impairment and Alzheimer\u2019s disease dementia. Cerebral Cortex, 30, 2948\u20132960. https:\/\/doi.org\/10.1093\/cercor\/bhz286","journal-title":"Cerebral Cortex"},{"key":"805_CR74","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.jpsychires.2015.02.005","volume":"63","author":"XD Wang","year":"2015","unstructured":"Wang, X. D., Ren, M., Zhu, M. W., Gao, W. P., Zhang, J., Shen, H., Lin, Z. G., Feng, H. L., Zhao, C. J., & Gao, K. (2015). Corpus callosum atrophy associated with the degree of cognitive decline in patients with Alzheimer\u2019s dementia or mild cognitive impairment: A meta-analysis of the region of interest structural imaging studies. Journal of Psychiatric Research, 63, 10\u201319. https:\/\/doi.org\/10.1016\/j.jpsychires.2015.02.005","journal-title":"Journal of Psychiatric Research"},{"issue":"26\u201330","key":"805_CR75","doi-asserted-by":"publisher","first-page":"36","DOI":"10.12015\/issn.1674-8034.2022.02.006","volume":"13","author":"Z Wei","year":"2022","unstructured":"Wei, Z., Wang, H., Ju, C., & Liu, Y. (2022). A study on the microstructure of hippocampus in Alzheimer\u2019s disease and amnestic mild cognitive impairment based on NODDI. Chinese Journal of Magnetic Resonance Imaging, 13(26\u201330), 36. https:\/\/doi.org\/10.12015\/issn.1674-8034.2022.02.006","journal-title":"Chinese Journal of Magnetic Resonance Imaging"},{"key":"805_CR76","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1016\/j.dadm.2019.06.003","volume":"11","author":"Q Wen","year":"2019","unstructured":"Wen, Q., Mustafi, S. M., Li, J., Risacher, S. L., Tallman, E., Brown, S. A., West, J. D., Harezlak, J., Farlow, M. R., Unverzagt, F. W., Gao, S., Apostolova, L. G., Saykin, A. J., & Wu, Y. C. (2019). White matter alterations in early-stage Alzheimer\u2019s disease: A tract-specific study. Alzheimer\u2019s & Dementia (Amst), 11, 576\u2013587. https:\/\/doi.org\/10.1016\/j.dadm.2019.06.003","journal-title":"Alzheimer\u2019s & Dementia (Amst)"},{"key":"805_CR77","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1503\/jpn.140154","volume":"40","author":"T Wolfers","year":"2015","unstructured":"Wolfers, T., Onnink, A. M., Zwiers, M. P., Arias-Vasquez, A., Hoogman, M., Mostert, J. C., Kan, C. C., Slaats-Willemse, D., Buitelaar, J. K., & Franke, B. (2015). Lower white matter microstructure in the superior longitudinal fasciculus is associated with increased response time variability in adults with attention-deficit\/ hyperactivity disorder. Journal of Psychiatry and Neuroscience, 40, 344\u2013351. https:\/\/doi.org\/10.1503\/jpn.140154","journal-title":"Journal of Psychiatry and Neuroscience"},{"key":"805_CR78","doi-asserted-by":"publisher","first-page":"84","DOI":"10.3389\/fnana.2016.00084","volume":"10","author":"Y Wu","year":"2016","unstructured":"Wu, Y., Sun, D., Wang, Y., Wang, Y., & Ou, S. (2016). Segmentation of the cingulum bundle in the human brain: A new perspective based on DSI tractography and fiber dissection study. Frontiers in Neuroanatomy, 10, 84. https:\/\/doi.org\/10.3389\/fnana.2016.00084","journal-title":"Frontiers in Neuroanatomy"},{"key":"805_CR79","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.jns.2012.02.010","volume":"316","author":"J Yang","year":"2012","unstructured":"Yang, J., Pan, P., Song, W., Huang, R., Li, J., Chen, K., Gong, Q., Zhong, J., Shi, H., & Shang, H. (2012). Voxelwise meta-analysis of gray matter anomalies in Alzheimer\u2019s disease and mild cognitive impairment using anatomic likelihood estimation. Journal of the Neurological Sciences, 316, 21\u201329. https:\/\/doi.org\/10.1016\/j.jns.2012.02.010","journal-title":"Journal of the Neurological Sciences"},{"key":"805_CR80","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1023\/a:1022318921994","volume":"13","author":"KK Zakzanis","year":"2003","unstructured":"Zakzanis, K. K., Graham, S. J., & Campbell, Z. (2003). A meta-analysis of structural and functional brain imaging in dementia of the Alzheimer\u2019s type: A neuroimaging profile. Neuropsychology Review, 13, 1\u201318. https:\/\/doi.org\/10.1023\/a:1022318921994","journal-title":"Neuropsychology Review"},{"key":"805_CR81","doi-asserted-by":"publisher","first-page":"2454","DOI":"10.1177\/0271678x19893600","volume":"40","author":"W Zeng","year":"2020","unstructured":"Zeng, W., Chen, Y., Zhu, Z., Gao, S., Xia, J., Chen, X., Jia, J., & Zhang, Z. (2020). Severity of white matter hyperintensities: Lesion patterns, cognition, and microstructural changes. Journal of Cerebral Blood Flow and Metabolism, 40, 2454\u20132463. https:\/\/doi.org\/10.1177\/0271678x19893600","journal-title":"Journal of Cerebral Blood Flow and Metabolism"},{"key":"805_CR82","doi-asserted-by":"publisher","first-page":"1000","DOI":"10.1016\/j.neuroimage.2012.03.072","volume":"61","author":"H Zhang","year":"2012","unstructured":"Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012). NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage, 61, 1000\u20131016. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.03.072","journal-title":"NeuroImage"},{"key":"805_CR83","doi-asserted-by":"publisher","first-page":"1876","DOI":"10.1002\/alz.12819","volume":"19","author":"P Zhang","year":"2023","unstructured":"Zhang, P., Hou, Y., Tu, W., Campbell, N., Pieper, A. A., Leverenz, J. B., Gao, S., Cummings, J., & Cheng, F. (2023). Population-based discovery and Mendelian randomization analysis identify telmisartan as a candidate medicine for Alzheimer\u2019s disease in African Americans. Alzheimer\u2019s & Dementia, 19, 1876\u20131887. https:\/\/doi.org\/10.1002\/alz.12819","journal-title":"Alzheimer's & Dementia"},{"key":"805_CR84","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/j.neuron.2015.11.034","volume":"89","author":"H Zhou","year":"2016","unstructured":"Zhou, H., Schafer, R. J., & Desimone, R. (2016). Pulvinar-Cortex Interactions in Vision and Attention. Neuron, 89, 209\u2013220. https:\/\/doi.org\/10.1016\/j.neuron.2015.11.034","journal-title":"Neuron"}],"container-title":["Brain Imaging and Behavior"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-023-00805-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11682-023-00805-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-023-00805-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T07:15:03Z","timestamp":1703056503000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11682-023-00805-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,27]]},"references-count":84,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["805"],"URL":"https:\/\/doi.org\/10.1007\/s11682-023-00805-2","relation":{},"ISSN":["1931-7557","1931-7565"],"issn-type":[{"value":"1931-7557","type":"print"},{"value":"1931-7565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,27]]},"assertion":[{"value":"14 September 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 September 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"This article does not contain any studies with human participants performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"All authors have no conflicts of interest related to this work.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}