Lane CA, Hardy J, Schott JM. Alzheimer’s illness. Eur J Neurol. 2018;25(1):59–70.
Lin CH, Wu RM. Biomarkers of cognitive decline in Parkinson’s illness. Parkinsonism Relat Disord. 2015;21(5):431–43.
Zhou Y, Tune Z, Han X, Li H, Tang X. Prediction of Alzheimer’s Illness Development primarily based on magnetic resonance imaging. ACS Chem Neurosci. 2021;12(22):4209–23.
Parvizi J. Corticocentric myopia: previous bias in new cognitive sciences. Traits Cogn Sci. 2009;13(8):354–9.
Catani M, Dell’acqua F, Bizzi A, Forkel SJ, Williams SC, Simmons A, Murphy DG. Thiebaut De Schotten M. Past cortical localization in clinico-anatomical correlation. Cortex. 2012 Nov-Dec;48(10):1262–87.
Li W, Zhao Z, Liu M, Yan S, An Y, Qiao L, Wang G, Qi Z, Lu J. Multimodal classification of Alzheimer’s illness and amnestic gentle cognitive impairment: Built-in 18F-FDG PET and DTI research. J Alzheimers Dis. 2022;85(3):1063–75.
Nowrangi MA, Rosenberg PB. The fornix in gentle cognitive impairment and Alzheimer’s illness. Entrance Growing old Neurosci. 2015;7:1.
Huang S, Huang C, Li M, Zhang H, Liu J. White Matter Abnormalities and cognitive deficit after gentle traumatic mind Damage: evaluating DTI, DKI, and NODDI. Entrance Neurol. 2022;13:803066.
Zhang J, Zheng W, Shang D, Chen Y, Zhong S, Ye J, Li L, Yu Y, Zhang L, Cheng R, He F, Wu D, Ye X, Luo B. Fixel-based proof of microstructural harm in crossing pathways improves language mapping in post-stroke aphasia. Neuroimage Clin. 2021;31:102774.
Zhou Z, Wang JB, Zang YF, Pan G. PAIR comparability between two within-group situations of resting-state fMRI improves classification accuracy. Entrance Neurosci. 2018;11:740.
Li F, Lu L, Shang S, Hu L, Chen H, Wang P, Zhang H, Chen YC, Yin X. Disrupted practical community connectivity predicts cognitive impairment after acute gentle traumatic mind harm. CNS Neurosci Ther. 2020;26(10):1083–91.
Esposito S, Trojsi F, Cirillo G, de Stefano M, Di Nardo F, Siciliano M, Caiazzo G, Ippolito D, Ricciardi D, Buonanno D, Atripaldi D, Pepe R, D’Alvano G, Mangione A, Bonavita S, Santangelo G, Iavarone A, Cirillo M, Esposito F, Sorbi S, Tedeschi G. Repetitive Transcranial Magnetic Stimulation (rTMS) of Dorsolateral Prefrontal Cortex Might Affect Semantic Fluency and Useful Connectivity in Fronto-Parietal Community in gentle cognitive impairment (MCI). Biomedicines. 2022;10(5):994.
Zhou B, Liu Y, Zhang Z, An N, Yao H, Wang P, Wang L, Zhang X, Jiang T. Impaired practical connectivity of the thalamus in Alzheimer’s illness and gentle cognitive impairment: a resting-state fMRI research. Curr Alzheimer Res. 2013;10(7):754–66.
Cremers LG, de Groot M, Hofman A, Krestin GP, van der Lugt A, Niessen WJ, Vernooij MW, Ikram MA. Altered tract-specific white matter microstructure is said to poorer cognitive efficiency: the Rotterdam Research. Neurobiol Growing old. 2016;39:108–17.
Hilal S, Liu S, Wong TY, Vrooman H, Cheng CY, Venketasubramanian N, Chen CL, Zhou JH. White matter community harm mediates affiliation between cerebrovascular illness and cognition. J Cereb Blood Circulation Metab. 2021;41(8):1858–72.
Wen MC, Thiery A, Tseng WI, Kok T, Xu Z, Chua ST, Tan LCS. Apathy is related to white matter community disruption and particular cognitive deficits in Parkinson’s illness. Psychol Med. 2022;52(2):264–73.
Ye C, Mori S, Chan P, Ma T. Connectome-wide community evaluation of white matter connectivity in Alzheimer’s illness. Neuroimage Clin. 2019;22:101690.
Savarraj JPJ, Kitagawa R, Kim DH, Choi HA. White matter connectivity for early prediction of Alzheimer’s illness. Technol Well being Care. 2022;30(1):17–28.
Rolls ET, Joliot M, Tzourio-Mazoyer N. Implementation of a brand new parcellation of the orbitofrontal cortex within the automated anatomical labeling atlas. NeuroImage. 2015;122:1–5.
Xu J, Tang B, He H, Man H. Semisupervised characteristic choice primarily based on relevance and redundancy standards. IEEE Trans Neural Netw Be taught Syst. 2017;28(9):1974–84.
Buch G, Schulz A, Schmidtmann I, Strauch Okay, Wild PS. A scientific overview and analysis of statistical strategies for group variable choice. Stat Med. 2023;42(3):331–52.
Li Okay, Yao S, Zhang Z, Cao B, Wilson CM, Kalos D, Kuan PF, Zhu R, Wang X. Environment friendly gradient boosting for prognostic biomarker discovery. Bioinformatics. 2022;38(6):1631–8.
Rathore S, Habes M, Iftikhar MA, Shacklett A, Davatzikos C. A overview on neuroimaging-based classification research and related characteristic extraction strategies for Alzheimer’s illness and its prodromal phases. NeuroImage. 2017;155:530–48.
Ansart M, Epelbaum S, Bassignana G, Bône A, Bottani S, Cattai T, Couronné R, Faouzi J, Koval I, Louis M, Thibeau-Sutre E, Wen J, Wild A, Burgos N, Dormont D, Colliot O, Durrleman S. Predicting the development of gentle cognitive impairment utilizing machine studying: a scientific, quantitative and significant overview. Med Picture Anal. 2021;67:101848.
Pedroche F, Romance M, Criado R. A biplex method to PageRank centrality: from traditional to multiplex networks. Chaos. 2016;26(6):065301.
Wu Z, Gao Y, Potter T, Benoit J, Shen J, Schulz PE, Zhang Y. And the Alzheimer’s Illness Neuroimaging Initiative. Interactions between growing older and Alzheimer’s Illness on Structural Mind Networks. Entrance Growing old Neurosci. 2021;13:639795.
Chang YL, Chao RY, Hsu YC, Chen TF, Tseng WI. White matter community disruption and cognitive correlates underlying impaired reminiscence consciousness in gentle cognitive impairment. Neuroimage Clin. 2021;30:102626.
Li JQ, Tan L, Wang HF, Tan MS, Tan L, Xu W, Zhao QF, Wang J, Jiang T, Yu JT. Danger elements for predicting development from gentle cognitive impairment to Alzheimer’s illness: a scientific overview and meta-analysis of cohort research. J Neurol Neurosurg Psychiatry. 2016;87(5):476–84.
Koutsodendris N, Nelson MR, Rao A, Huang Y. Apolipoprotein E and Alzheimer’s Illness: findings, hypotheses, and potential mechanisms. Annu Rev Pathol. 2022;17:73–99.
Kueper JK, Speechley M, Montero-Odasso M. The Alzheimer’s Illness Evaluation Scale-Cognitive Subscale (ADAS-Cog): modifications and responsiveness in Pre-dementia populations. Narrative Rev J Alzheimers Dis. 2018;63(2):423–44.
Lin Y, Huang Okay, Xu H, Qiao Z, Cai S, Wang Y, Huang L. Alzheimer’s Illness Neuroimaging Initiative. Predicting the development of gentle cognitive impairment to Alzheimer’s illness by longitudinal magnetic resonance imaging-based dictionary studying. Clin Neurophysiol. 2020;131(10):2429–39.
Minhas S, Khanum A, Riaz F, Khan SA, Alvi A. Predicting Development from gentle cognitive impairment to Alzheimer’s Illness utilizing Autoregressive Modelling of Longitudinal and Multimodal biomarkers. IEEE J Biomed Well being Inf. 2018;22(3):818–25.