6.
Hong Y, Lee J
. Subjective Cognitive Decline and Alzheimer's Disease Spectrum Disorder. Dement Neurocogn Disord. 2019; 16(2):40-47.
PMC: 6427955.
DOI: 10.12779/dnd.2017.16.2.40.
View
7.
Wang Y, Risacher S, West J, McDonald B, Magee T, Farlow M
. Altered default mode network connectivity in older adults with cognitive complaints and amnestic mild cognitive impairment. J Alzheimers Dis. 2013; 35(4):751-60.
PMC: 3962306.
DOI: 10.3233/JAD-130080.
View
8.
Palmqvist S, Tideman P, Cullen N, Zetterberg H, Blennow K, Dage J
. Prediction of future Alzheimer's disease dementia using plasma phospho-tau combined with other accessible measures. Nat Med. 2021; 27(6):1034-1042.
DOI: 10.1038/s41591-021-01348-z.
View
9.
Zhang L, Xi J, Xu G, Shu H, Wang X, Li P
. Cortical dynamics of acoustic and phonological processing in speech perception. PLoS One. 2011; 6(6):e20963.
PMC: 3113809.
DOI: 10.1371/journal.pone.0020963.
View
10.
Hammerschmidt W, Kagan I, Kulke L, Schacht A
. Implicit reward associations impact face processing: Time-resolved evidence from event-related brain potentials and pupil dilations. Neuroimage. 2018; 179:557-569.
DOI: 10.1016/j.neuroimage.2018.06.055.
View
11.
Bessi V, Mazzeo S, Bagnoli S, Padiglioni S, Carraro M, Piaceri I
. The implication of BDNF Val66Met polymorphism in progression from subjective cognitive decline to mild cognitive impairment and Alzheimer's disease: a 9-year follow-up study. Eur Arch Psychiatry Clin Neurosci. 2019; 270(4):471-482.
DOI: 10.1007/s00406-019-01069-y.
View
12.
Murphy K, Birn R, Bandettini P
. Resting-state fMRI confounds and cleanup. Neuroimage. 2013; 80:349-59.
PMC: 3720818.
DOI: 10.1016/j.neuroimage.2013.04.001.
View
13.
Park D, Reuter-Lorenz P
. The adaptive brain: aging and neurocognitive scaffolding. Annu Rev Psychol. 2008; 60:173-96.
PMC: 3359129.
DOI: 10.1146/annurev.psych.59.103006.093656.
View
14.
Xue C, Yuan B, Yue Y, Xu J, Wang S, Wu M
. Distinct Disruptive Patterns of Default Mode Subnetwork Connectivity Across the Spectrum of Preclinical Alzheimer's Disease. Front Aging Neurosci. 2019; 11:307.
PMC: 6863958.
DOI: 10.3389/fnagi.2019.00307.
View
15.
Jessen F, Amariglio R, van Boxtel M, Breteler M, Ceccaldi M, Chetelat G
. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimers Dement. 2014; 10(6):844-52.
PMC: 4317324.
DOI: 10.1016/j.jalz.2014.01.001.
View
16.
Chiesa P, Cavedo E, Grothe M, Houot M, Teipel S, Potier M
. Relationship between Basal Forebrain Resting-State Functional Connectivity and Brain Amyloid-β Deposition in Cognitively Intact Older Adults with Subjective Memory Complaints. Radiology. 2018; 290(1):167-176.
DOI: 10.1148/radiol.2018180268.
View
17.
Fakhry-Darian D, Patel N, Khan S, Barwick T, Svensson W, Khan S
. Optimisation and usefulness of quantitative analysis of F-florbetapir PET. Br J Radiol. 2019; 92(1101):20181020.
PMC: 6732916.
DOI: 10.1259/bjr.20181020.
View
18.
Bessi V, Mazzeo S, Padiglioni S, Piccini C, Nacmias B, Sorbi S
. From Subjective Cognitive Decline to Alzheimer's Disease: The Predictive Role of Neuropsychological Assessment, Personality Traits, and Cognitive Reserve. A 7-Year Follow-Up Study. J Alzheimers Dis. 2018; 63(4):1523-1535.
DOI: 10.3233/JAD-171180.
View
19.
Yushkevich P, Pluta J, Wang H, Xie L, Ding S, Gertje E
. Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment. Hum Brain Mapp. 2014; 36(1):258-87.
PMC: 4313574.
DOI: 10.1002/hbm.22627.
View
20.
Lane C, Hardy J, Schott J
. Alzheimer's disease. Eur J Neurol. 2017; 25(1):59-70.
DOI: 10.1111/ene.13439.
View