Salzman T, Laurin E, Thibault C, Farrell P, Fraser S
Alzheimers Dement (Amst). 2025; 17(1):e70054.
PMID: 39822294
PMC: 11736712.
DOI: 10.1002/dad2.70054.
Tang W, Zeng Q, Xie K, Cui X, Jin X, Han Y
Alzheimers Dement. 2024; 21(2):e14431.
PMID: 39732511
PMC: 11848185.
DOI: 10.1002/alz.14431.
Corriveau-Lecavalier N, Adams J, Fischer L, Molloy E, Maass A
Brain Commun. 2024; 6(6):fcae376.
PMID: 39513091
PMC: 11542485.
DOI: 10.1093/braincomms/fcae376.
Liu M, Huang Q, Huang L, Ren S, Cui L, Zhang H
Brain Commun. 2024; 6(1):fcae010.
PMID: 38304005
PMC: 10833653.
DOI: 10.1093/braincomms/fcae010.
Mizuno A, Karim H, Ly M, Lopresti B, Cohen A, Ali A
Front Psychiatry. 2023; 14:1242822.
PMID: 37743995
PMC: 10511647.
DOI: 10.3389/fpsyt.2023.1242822.
Novelty-Related fMRI Responses of Precuneus and Medial Temporal Regions in Individuals at Risk for Alzheimer Disease.
Billette O, Ziegler G, Aruci M, Schutze H, Kizilirmak J, Richter A
Neurology. 2022; 99(8):e775-e788.
PMID: 35995589
PMC: 9484732.
DOI: 10.1212/WNL.0000000000200667.
Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer's disease: a preliminary study.
Chen H, Li W, Sheng X, Ye Q, Zhao H, Xu Y
Eur Radiol. 2021; 32(1):448-459.
PMID: 34109489
DOI: 10.1007/s00330-021-08080-9.
Impaired cerebral vascular and metabolic responses to parametric N-back tasks in subjective cognitive decline.
Zhang Y, Du W, Yin Y, Li H, Liu Z, Yang Y
J Cereb Blood Flow Metab. 2021; 41(10):2743-2755.
PMID: 33951945
PMC: 8504959.
DOI: 10.1177/0271678X211012153.
Dynamics and Concordance Abnormalities Among Indices of Intrinsic Brain Activity in Individuals With Subjective Cognitive Decline: A Temporal Dynamics Resting-State Functional Magnetic Resonance Imaging Analysis.
Yang Y, Zha X, Zhang X, Ke J, Hu S, Wang X
Front Aging Neurosci. 2021; 12:584863.
PMID: 33568986
PMC: 7868384.
DOI: 10.3389/fnagi.2020.584863.
A quadratic function of activation in individuals at risk of Alzheimer's disease.
Corriveau-Lecavalier N, Duchesne S, Gauthier S, Hudon C, Kergoat M, Mellah S
Alzheimers Dement (Amst). 2021; 12(1):e12139.
PMID: 33521234
PMC: 7817778.
DOI: 10.1002/dad2.12139.
Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease.
Wang X, Huang W, Su L, Xing Y, Jessen F, Sun Y
Mol Neurodegener. 2020; 15(1):55.
PMID: 32962744
PMC: 7507636.
DOI: 10.1186/s13024-020-00395-3.
A Novel Connectome-Based Electrophysiological Study of Subjective Cognitive Decline Related to Alzheimer's Disease by Using Resting-State High-Density EEG EGI GES 300.
Lazarou I, Georgiadis K, Nikolopoulos S, Oikonomou V, Tsolaki A, Kompatsiaris I
Brain Sci. 2020; 10(6).
PMID: 32575641
PMC: 7349850.
DOI: 10.3390/brainsci10060392.
The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline.
Chen H, Sheng X, Luo C, Qin R, Ye Q, Zhao H
Transl Neurodegener. 2020; 9(1):21.
PMID: 32460888
PMC: 7254770.
DOI: 10.1186/s40035-020-00201-6.
Functional neuroimaging in subjective cognitive decline: current status and a research path forward.
Viviano R, Damoiseaux J
Alzheimers Res Ther. 2020; 12(1):23.
PMID: 32151277
PMC: 7063727.
DOI: 10.1186/s13195-020-00591-9.
White Matter Microstructural Damage as an Early Sign of Subjective Cognitive Decline.
Luo C, Li M, Qin R, Chen H, Yang D, Huang L
Front Aging Neurosci. 2020; 11:378.
PMID: 32047428
PMC: 6997435.
DOI: 10.3389/fnagi.2019.00378.
Resting State BOLD Variability Is Linked to White Matter Vascular Burden in Healthy Aging but Not in Older Adults With Subjective Cognitive Decline.
Scarapicchia V, Garcia-Barrera M, MacDonald S, Gawryluk J
Front Hum Neurosci. 2020; 13:429.
PMID: 31920589
PMC: 6936515.
DOI: 10.3389/fnhum.2019.00429.
Neuroimaging in aging and neurologic diseases.
Risacher S, Saykin A
Handb Clin Neurol. 2019; 167:191-227.
PMID: 31753134
PMC: 9006168.
DOI: 10.1016/B978-0-12-804766-8.00012-1.
Evidence of parietal hyperactivation in individuals with mild cognitive impairment who progressed to dementia: A longitudinal fMRI study.
Corriveau-Lecavalier N, Mellah S, Clement F, Belleville S
Neuroimage Clin. 2019; 24:101958.
PMID: 31357150
PMC: 6664199.
DOI: 10.1016/j.nicl.2019.101958.
Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive deficits.
Kim D, Lee S, Choi M, Youn H, Suh S, Jeong H
Neurol Sci. 2019; 40(11):2333-2342.
PMID: 31243597
DOI: 10.1007/s10072-019-03981-6.
Refining the metamemory in adulthood questionnaire: a 20-item version of change and capacity designed for research and clinical settings.
McDonough I, McDougall G, LaRocca M, Dalmida S, Arheart K
Aging Ment Health. 2019; 24(7):1054-1063.
PMID: 30957531
PMC: 6779492.
DOI: 10.1080/13607863.2019.1594160.