1 |
Jessen F, Amariglio RE, Van Boxtel M, et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease [J]. Alzheimers Dement, 2014, 10(6): 844-852.
|
2 |
Mitchell AJ, Beaumont H, Ferguson D, et al. Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: meta-analysis [J]. Acta Psychiatr Scand, 2014, 130(6): 439-451.
|
3 |
Van Harten AC, Smits LL, Teunissen CE, et al. Preclinical AD predicts decline in memory and executive functions in subjective complaints [J]. Neurology, 2013, 81(16): 1409-1416.
|
4 |
Wolfsgruber S, Polcher A, Koppara A, et al. Cerebrospinal fluid biomarkers and clinical progression in patients with subjective cognitive decline and mild cognitive impairment [J]. J Alzheimers Dis, 2017, 58(3): 939-950.
|
5 |
Jack CR, Bennett DA, Blennow K, et al. NIA-AA Research Framework: toward a biological definition of Alzheimer's disease [J]. Alzheimers Dement, 2018, 14(4): 535-562.
|
6 |
Jessen F, Amariglio RE, Buckley RF, et al. The characterisation of subjective cognitive decline [J]. Lancet Neurol, 2020, 19(3): 271-278.
|
7 |
Verlinden VJA, Van Der Geest JN, De Bruijn R, et al. Trajectories of decline in cognition and daily functioning in preclinical dementia [J]. Alzheimers Dement, 2016, 12(2): 144-153.
|
8 |
Verfaillie SCJ, Timmers T, Slot RER, et al. Amyloid-beta load is related to worries, but not to severity of cognitive complaints in individuals with subjective cognitive decline: the SCIENCe project [J]. Front Aging Neurosci, 2019, 11: 7.
|
9 |
Nicholas CR, Dowling NM, Racine AM, et al. Longitudinal assessment of self- and informant-subjective cognitive complaints in a sample of healthy late-middle aged adults enriched with a family history of Alzheimer's disease [J]. J Int Neuropsychol Soc, 2017, 23(8): 617-626.
|
10 |
Moreno-Grau S, Rodriguez-Gomez O, Sanabria A, et al. Exploring APOE genotype effects on Alzheimer's disease risk and amyloid beta burden in individuals with subjective cognitive decline: The FundacioACE Healthy Brain Initiative (FACEHBI) study baseline results [J]. Alzheimers Dement, 2018, 14(5): 634-643.
|
11 |
Buckley RF, Hanseeuw B, Schultz AP, et al. Region-specific association of subjective cognitive decline with tauopathy independent of global beta-amyloid burden [J]. JAMA Neurol, 2017, 74(12): 1455-1463.
|
12 |
Jessen F, Wiese B, Bachmann C, et al. Prediction of dementia by subjective memory impairment: effects of severity and temporal association with cognitive impairment [J]. Arch Gen Psychiatry, 2010, 67(4): 414-422.
|
13 |
Mewton L, Sachdev P, Anderson T, et al. Demographic, clinical, and lifestyle correlates of subjective memory complaints in the Australian population [J]. Am J Geriatr Psychiatry, 2014, 22(11): 1222-1232.
|
14 |
Van Harten AC, Mielke MM, Swenson-Dravis DM, et al. Subjective cognitive decline and risk of MCI: The Mayo Clinic Study of Aging [J]. Neurology, 2018, 91(4): e300-e312.
|
15 |
Gifford KA, Liu D, 3rd Romano R, et al. Development of a subjective cognitive decline questionnaire using item response theory: a pilot study [J]. Alzheimers Dement (Amst), 2015, 1(4): 429-439.
|
16 |
Rami L, Mollica MA, Garcia-Sanchez C, et al. The Subjective Cognitive Decline Questionnaire (SCD-Q): a validation study [J]. J Alzheimers Dis, 2014, 41(2): 453-466.
|
17 |
Valech N, Sanchez-Benavides G, Tort-Merino A, et al. Associations between the subjective cognitive decline-questionnaire's scores, Gray matter volume, and amyloid-beta levels [J]. J Alzheimers Dis, 2019, 72(4): 1287-1302.
|
18 |
Hurt CS, Burns A, Brown RG, et al. Perceptions of subjective memory complaint in older adults: the Illness Perception Questionnaire-Memory (IPQ-M) [J]. Int Psychogeriatr, 2010, 22(5): 750-760.
|
19 |
Vogel A, Salem LC, Andersen BB, et al. Differences in quantitative methods for measuring subjective cognitive decline - results from a prospective memory clinic study [J]. Int Psychogeriatr, 2016, 28(9): 1513-1520.
|
20 |
Farias ST, Mungas D, Reed BR, et al. The measurement of everyday cognition (ECog): scale development and psychometric properties [J]. Neuropsychology, 2008, 22(4): 531-544.
|
21 |
Sanabria A, Alegret M, Rodriguez-Gomez O, et al. The Spanish version of Face-Name Associative Memory Exam (S-FNAME) performance is related to amyloid burden in Subjective Cognitive Decline [J]. Sci Rep, 2018, 8(1): 3828.
|
22 |
Peter J, Scheef L, Abdulkadir A, et al. Gray matter atrophy pattern in elderly with subjective memory impairment [J]. Alzheimers Dement, 2014, 10(1): 99-108.
|
23 |
Saykin AJ, Wishart HA, Rabin LA, et al. Older adults with cognitive complaints show brain atrophy similar to that of amnestic MCI [J]. Neurology, 2006, 67(5): 834-842.
|
24 |
Meiberth D, Scheef L, Wolfsgruber S, et al. Cortical thinning in individuals with subjective memory impairment [J]. J Alzheimers Dis, 2015, 45(1): 139-146.
|
25 |
Dore V, Villemagne VL, Bourgeat P, et al. Cross-sectional and longitudinal analysis of the relationship between Abeta deposition, cortical thickness, and memory in cognitively unimpaired individuals and in Alzheimer disease [J]. JAMA Neurol, 2013, 70(7): 903-911.
|
26 |
Zhao W, Wang X, Yin C, et al. Trajectories of the hippocampal subfields atrophy in the Alzheimer's disease: a structural imaging study [J]. Front Neuroinform, 2019, 13: 13.
|
27 |
Kantarci K, Murray ME, Schwarz CG, et al. White-matter integrity on DTI and the pathologic staging of Alzheimer's disease [J]. Neurobiol Aging, 2017, 56: 172-179.
|
28 |
Ohlhauser L, Parker AF, Smart CM, et al. White matter and its relationship with cognition in subjective cognitive decline [J]. Alzheimers Dement (Amst), 2019, 11: 28-35.
|
29 |
Selnes P, Aarsland D, Bjornerud A, et al. Diffusion tensor imaging surpasses cerebrospinal fluid as predictor of cognitive decline and medial temporal lobe atrophy in subjective cognitive impairment and mild cognitive impairment [J]. J Alzheimers Dis, 2013, 33(3): 723-736.
|
30 |
Li XY, Tang ZC, Sun Y, et al. White matter degeneration in subjective cognitive decline: a diffusion tensor imaging study [J]. Oncotarget, 2016, 7(34): 54405-54414.
|
31 |
Ryu SY, Lim EY, Na S, et al. Hippocampal and entorhinal structures in subjective memory impairment: a combined MRI volumetric and DTI study [J]. Int Psychogeriatr, 2017, 29(5): 785-792.
|
32 |
Shu N, Wang X, Bi Q, et al. Disrupted topologic efficiency of white matter structural connectome in individuals with subjective cognitive decline [J]. Radiology, 2018, 286(1): 229-238.
|
33 |
Sun Y, Dai Z, Li Y. Subjective cognitive decline: mapping functional and structural brain changes-A combined resting-state functional and structural MR imaging study [J]. 2016, 281(1): 185-192.
|
34 |
Bayram E, Caldwell JZK, Banks SJ. Current understanding of magnetic resonance imaging biomarkers and memory in Alzheimer's disease [J]. Alzheimers Dement (NY), 2018, 4: 395-413.
|
35 |
Kawagoe T, Onoda K, Yamaguchi S. Subjective memory complaints are associated with altered resting-state functional connectivity but not structural atrophy [J]. Neuroimage Clin, 2019, 21: 101675.
|
36 |
Rodda J, Dannhauser T, Cutinha DJ, et al. Subjective cognitive impairment: functional MRI during a divided attention task [J]. Eur Psychiatry, 2011, 26(7): 457-462.
|
37 |
Rodda JE, Dannhauser TM, Cutinha DJ, et al. Subjective cognitive impairment: increased prefrontal cortex activation compared to controls during an encoding task [J]. Int J Geriatr Psychiatry, 2009, 24(8): 865-874.
|
38 |
Li M, Zheng G, Zheng Y, et al. Alterations in resting-state functional connectivity of the default mode network in amnestic mild cognitive impairment: an fMRI study [J]. BMC Med Imaging, 2017, 17(1): 48.
|
39 |
Greicius MD, Srivastava G, Reiss AL, et al. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI [J]. Proc Natl Acad Sci U S A, 2004, 101(13): 4637-4642.
|
40 |
Krajcovicova L, Marecek R, Mikl M, et al. Disruption of resting functional connectivity in Alzheimer's patients and at-risk subjects [J]. Curr Neurol Neurosci Rep, 2014, 14(10): 491.
|
41 |
Wang Y, Risacher SL, West JD, et al. Altered default mode network connectivity in older adults with cognitive complaints and amnestic mild cognitive impairment [J]. J Alzheimers Dis, 2013, 35(4): 751-760.
|
42 |
Jones DT, Machulda MM, Vemuri P, et al. Age-related changes in the default mode network are more advanced in Alzheimer disease [J]. Neurology, 2011, 77(16): 1524-1531.
|
43 |
Ewers M, Brendel M, Rizk-Jackson A, et al. Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects [J]. Neuroimage Clin, 2014, 4: 45-52.
|
44 |
Scheef L, Spottke A, Daerr M, et al. Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment [J]. Neurology, 2012, 79(13): 1332-1339.
|
45 |
Mosconi L, De Santi S, Brys M, et al. Hypometabolism and altered cerebrospinal fluid markers in normal apolipoprotein E E4 carriers with subjective memory complaints [J]. Biol Psychiatry, 2008, 63(6): 609-618.
|
46 |
Sakr FA, Grothe MJ, Cavedo E, et al. Applicability of in vivo staging of regional amyloid burden in a cognitively normal cohort with subjective memory complaints: the INSIGHT-preAD study [J]. Alzheimers Res Ther, 2019, 11(1): 15.
|
47 |
Zwan MD, Villemagne VL, Dore V, et al. Subjective Memory Complaints in APOEvarepsilon4 Carriers are Associated with High Amyloid-beta Burden [J]. J Alzheimers Dis, 2016, 49(4): 1115-1122.
|
48 |
Hong YJ, Park KW, Kang DY. Prediction of Alzheimer's pathological changes in subjective cognitive decline using the self-report questionnaire and neuroimaging biomarkers [J]. Dement Neurocogn Disord, 2019, 18(1): 19-29.
|
49 |
Snitz BE, Lopez OL, Mcdade E, et al. Amyloid-beta imaging in older adults presenting to a memory clinic with subjective cognitive decline: a pilot study [J]. J Alzheimers Dis, 2015, 48 Suppl 1: S151-S159.
|
50 |
Hollands S, Lim YY, Buckley R, et al. Amyloid-beta related memory decline is not associated with subjective or informant rated cognitive impairment in healthy adults [J]. J Alzheimers Dis, 2015, 43(2): 677-86.
|
51 |
Shah TM, Weinborn M, Verdile G, et al. Enhancing cognitive functioning in healthly older adults: a systematic review of the clinical significance of commercially available computerized cognitive training in preventing cognitive decline [J]. Neuropsychol Rev, 2017, 27(1): 62-80.
|
52 |
Çinar N, Şahiner TAH. Effects of the online computerized cognitive training program BEYNEX on the cognitive tests of individuals with subjective cognitive impairment and Alzheimer's disease on rivastigmine therapy [J]. Turk J Med Sci, 2020, 50(1): 231-238.
|
53 |
Pereira-Morales AJ, Cruz-Salinas AF, Aponte J, et al. Efficacy of a computer-based cognitive training program in older people with subjective memory complaints: a randomized study [J]. Int J Neurosci, 2018, 128(1): 1-9.
|
54 |
Engvig A, Fjell AM, Westlye LT, et al. Effects of cognitive training on gray matter volumes in memory clinic patients with subjective memory impairment [J]. J Alzheimers Dis, 2014, 41(3): 779-791.
|
55 |
Bredesen DE. Reversal of cognitive decline: a novel therapeutic program [J]. Aging (Albany NY), 2014, 6(9): 707-717.
|
56 |
Keine D, Walker JQ, Kennedy BK, et al. Development, application, and results from a precision-medicine platform that personalizes multi-modal treatment plans for mild Alzheimer's disease and at-risk individuals [J]. Curr Aging Sci, 2018, 11(3): 173-181.
|
57 |
Orgeta V, Mukadam N, Sommerlad A, et al. The lancet commission on dementia prevention, intervention, and care: a call for action [J]. Ir J Psychol Med, 2019, 36(2): 85-88.
|