The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Gray matter atrophy pattern in elderly with subjective memory impairment
Abstract
Background: Individuals with subjective memory impairment (SMI) report worsening of memory without impairment in cognitive tests. Despite normal cognitive performance, they may be at higher risk of cognitive decline compared with individuals without SMI. Methods: We used a discriminative function (a support vector machine) trained on an independent data set of 226 healthy control subjects and 191 patients with probable Alzheimer's disease (AD) dementia to characterize the baseline gray matter patterns of 24 individuals with SMI and 53 control subjects. We tested for associations of these gray matter patterns with SMI presence, cognitive performance at baseline, and cognitive decline at follow‐up. Results: Individuals with SMI showed greater similarity to an AD gray matter pattern compared with control subjects without SMI. In addition, episodic memory decline was associated with an AD gray matter pattern in the SMI group. Conclusions: Our results indicate a link between the gray matter atrophy pattern of patients with AD and the presence of SMI. Furthermore, multivariate pattern recognition approaches seem to be a sensitive method for identifying subtle brain changes that correspond to future memory decline in SMI.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The researchers trained a classifier to separate individuals with dementia due to AD from HCs and found that the gray matter atrophy pattern of a subject with SCD was similar to the brain of a patient with dementia due to AD but was significantly different from an HC. The voxels with greatest contributions to the classification were mainly distributed in hippocampal and parahippocampal areas.”
From Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease (2020) · cites this paper as [95]
In the citing paper
“Peter and colleagues used similar methods and showed that the extracted index was higher in individuals with SCD than in HCs [95].”
From Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease (2020) · cites this paper as [95]
Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
The Scree Test For The Number Of Factors
Cattell, R. B. (1966) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr0102_10 · Cited by 13,554
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
An overview of statistical learning theory
Vapnik, V. N. (1999) · IEEE Transactions on Neural Networks · doi:10.1109/72.788640 · Cited by 6,420
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Moms, J. C., Heyman, A., Mohs, R. C., Hughes, J. P., van Belle, G., Fillenbaum, G., Mellits, E. D., & Clark, C. (1989) · Neurology · doi:10.1212/wnl.39.9.1159 · Cited by 4,130
Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI.
Hixson, J., & Vernier, D. (1990) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)43176-1 · Cited by 2,933
Consortium to Establish a Registry for Alzheimer's Disease (CERAD)
Fillenbaum, G., & Heyman, A. (2002) · doi:10.1002/0470846410.ch42(iii · Cited by 2,859
The relation of the Trail Making Test to organic brain damage.
Reitan, R. M. (1955) · Journal of Consulting Psychology · doi:10.1037/h0044509 · Cited by 1,817
Life-Span Development and Behavior
Baltes, P. B., Featherman, D. L., Lerner, R. M., Brim, O. G., & Perlmutter, M. C. (1984) · Medical Entomology and Zoology · Cited by 1,805
Some necessary conditions for common-factor analysis
Guttman, L. (1954) · Psychometrika · doi:10.1007/bf02289162 · Cited by 1,689
Morris, J. C., Mohs, R. C., Rogers, H., Fillenbaum, G. G., & Heyman, A. (1988) · PubMed · Cited by 1,131
Franke, K., Ziegler, G., Klöppel, S., & Gaser, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.005 · Cited by 836
Self-citationJessen, F. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.30 · Cited by 702
Self-citationSubjective Memory Complaints and Cognitive Impairment in Older People
Reid, L. M., & MacLullich, A. M. J. (2006) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000096295 · Cited by 633
Brain Glucose Hypometabolism and Oxidative Stress in Preclinical Alzheimer's Disease
Mosconi, L., Pupi, A., & de Leon, M. J. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1427.007 · Cited by 616
Older adults with cognitive complaints show brain atrophy similar to that of amnestic MCI
Saykin, A. J., Wishart, H. A., Rabin, L. A., Santulli, R. B., Flashman, L. A., West, J. D., McHugh, T., & Mamourian, A. C. (2006) · Neurology · doi:10.1212/01.wnl.0000234032.77541.a2 · Cited by 594
Outcome over seven years of healthy adults with and without subjective cognitive impairment
Reisberg, B., Shulman, M. B., Torossian, C., Leng, L., & Zhu, W. (2010) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2009.10.002 · Cited by 568
Subjective cognitive complaints and amyloid burden in cognitively normal older individuals
Amariglio, R. E., Becker, J. A., Carmasin, J., Wadsworth, L. P., Lorius, N., Sullivan, C., Maye, J. E., Gidicsin, C., Pepin, L. C., Sperling, R. A., et al. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.08.011 · Cited by 472
Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
Vemuri, P., Gunter, J. L., Senjem, M. L., Whitwell, J. L., Kantarci, K., Knopman, D. S., Boeve, B. F., Petersen, R. C., & Jack, C. R. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.073 · Cited by 465
The Memory Functioning Questionnaire for assessment of memory complaints in adulthood and old age.
Gilewski, M. J., Zelinski, E. M., & Schaie, K. W. (1990) · Psychology and Aging · doi:10.1037//0882-7974.5.4.482 · Cited by 464
Evans, D. A., Hebert, L. E., Beckett, L. A., Scherr, P. A., Albert, M. S., Chown, M. J., Pilgrim, D. M., & Taylor, J. O. (1997) · Archives of Neurology · doi:10.1001/archneur.1997.00550230066019 · Cited by 435
Assessment of Memory Complaint in Age-Associated Memory Impairment: The MAC-Q
Crook, T. H., Feher, E. P., & Larrabee, G. J. (1992) · International Psychogeriatrics · doi:10.1017/s1041610292000991 · Cited by 434
SKID. Strukturiertes Klinisches Interview für DSM-IV. Achse I und II. Handanweisung
Wïttchen, H., Zaudig, M., & Fydrich, T. (1997) · Max Planck Institute for Plasma Physics · Cited by 325
Davatzikos, C., Xu, F., An, Y., Fan, Y., & Resnick, S. M. (2009) · Brain · doi:10.1093/brain/awp091 · Cited by 315
Perrotin, A. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.666 · Cited by 300
Face-name associative memory performance is related to amyloid burden in normal elderly
Rentz, D. M., Amariglio, R. E., Becker, J. A., Frey, M., Olson, L. E., Frishe, K., Carmasin, J. S., Maye, J. E., Johnson, K. A., & Sperling, R. A. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.06.006 · Cited by 285
Verbaler Lern- und Merkfähigkeitstest
Helmstaedter, C., Lendt, M., & Lux, S. (2001) · Cited by 282
Diagnostic neuroimaging across diseases
Klöppel, S., Abdulkadir, A., Jack, C. R., Koutsouleris, N., Mourão-Miranda, J., & Vemuri, P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.002 · Cited by 279
Self-citationGlucose metabolism, gray matter structure, and memory decline in subjective memory impairment
Scheef, L., Spottke, A., Daerr, M., Joe, A., Striepens, N., Kölsch, H., Popp, J., Daamen, M., Gorris, D., Heneka, M. T., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c1a8d · Cited by 277
Self-citationVolume reduction of the entorhinal cortex in subjective memory impairment
Jessen, F., Feyen, L., Freymann, K., Tepest, R., Maier, W., Heun, R., Schild, H. H., & Scheef, L. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.10.010 · Cited by 276
Self-citationAccuracy of dementia diagnosis: a direct comparison between radiologists and a computerized method
Kloppel, S., Stonnington, C. M., Barnes, J., Chen, F., Chu, C., Good, C. D., Mader, I., Mitchell, L. A., Patel, A. C., Roberts, C. C., et al. (2008) · Brain · doi:10.1093/brain/awn239 · Cited by 271
Self-citationPredicting clinical scores from magnetic resonance scans in Alzheimer's disease
Stonnington, C. M., Chu, C., Klöppel, S., Jack, C. R., Ashburner, J., & Frackowiak, R. S. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.051 · Cited by 263
Self-citationRabin, L. A., Paré, N., Saykin, A. J., Brown, M. J., Wishart, H. A., Flashman, L. A., & Santulli, R. B. (2009) · Aging, Neuropsychology, and Cognition · doi:10.1080/13825580902825220 · Cited by 256
Teipel, S. J., Born, C., Ewers, M., Bokde, A. L. W., Reiser, M. F., Möller, H., & Hampel, H. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.008 · Cited by 204
van Harten, A. C., Visser, P. J., Pijnenburg, Y. A. L., Teunissen, C. E., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.08.004 · Cited by 197
The value of informant versus individual’s complaints of memory impairment in early dementia
Carr, D. B., Gray, S. G., Baty, J., & Morris, J. C. (2000) · Neurology · doi:10.1212/wnl.55.11.1724 · Cited by 195
Stewart, R. J., Godin, O., Crivello, F., Maillard, P., Mazoyer, B. M., Tzourio, C., & Dufouil, C. (2011) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.110.078683 · Cited by 154
Endpoints for trials in Alzheimer's disease: a European task force consensus
Vellas, B. J., Andrieu, S., Sampaio, C., Coley, N., & Wilcock, G. K. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70087-5 · Cited by 152
Smith, G. E., Petersen, R. C., Ivnik, R. J., Malec, J. F., & Tangalos, E. G. (1996) · Psychology and Aging · doi:10.1037//0882-7974.11.2.272 · Cited by 149
APOE Genotype, Family History of Dementia, and Alzheimer Disease Risk
Huang, W., Qiu, C., Strauss, E. I. V., Winblad, B. G., & Fratiglioni, L. (2004) · Archives of Neurology · doi:10.1001/archneur.61.12.1930 · Cited by 134
Selnes, P., Aarsland, D., Bjørnerud, A., Gjerstad, L., Wallin, A., Hessen, E., Reinvang, I., Grambaitė, R., Auning, E., Kjærvik, V. K., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-121603 · Cited by 103
Leube, D., Weis, S., Freymann, K., Erb, M., Jessen, F., Heun, R., Grodd, W., & Kircher, T. T. J. (2008) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2036 · Cited by 89
Self-citationEffects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier
Abdulkadir, A., Mortamet, B., Vemuri, P., Jack, C. R., Krüger, G., & Klöppel, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.029 · Cited by 88
Self-citationReid, M., Parkinson, L., Gibson, R. E., Schofield, P. W., D’Este, C. A., Attia, J., Tavener, M., & Byles, J. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2011.06.006 · Cited by 52
Longitudinal Models of Growth and Survival Applied to the Early Detection of Alzheimer’s Disease
McArdle, J. J., Small, B. J., Bäckman, L., & Fratiglioni, L. (2005) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988705281879 · Cited by 51
Temporal selection and factor invariance in the study of development and change.
Nesselroade, J. R. (1983) · Europe PMC (PubMed Central) · Cited by 37
Nho, K. T., Shen, L., Kim, S., Risacher, S. L., West, J. D., Foroud, T., Jack, C. R., Weiner, M. W., & Saykin, A. J. (2010) · PubMed Central · Cited by 27
Helmstaedter, C., Hufnagel, A., & Elger, C. E. (1992) · Epilepsia · doi:10.1111/j.1528-1157.1992.tb02197.x · Cited by 21
Buckley, R. F., Saling, M. M., Ellis, K. A., Lautenschlager, N. T., Maruff, P. T., Martins, R. N., Masters, C. L., Rowe, C. C., Savage, G. R., Szoeke, C. E. I., et al. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.677 · Cited by 2
Research works printed but not linked: 4
- 10.1037/0882-7974.11.2.272 · DOI
- 10.1037/0882-7974.5.4.482 · DOI · Paper page
- Aschenbrenner A., 2000, RWT Regensburger Wortflüssigkeits‐test
- Fürntratt E., 1969, Zur Bestimmung der Anzahl interpretierbarer gemeinsamer Faktoren in Faktorenanalysen psychologischer Daten, Diagnostica, 15, 62
Cited by
Sorted by citations
Jessen, F., Amariglio, R. E., van Boxtel, M., Breteler, M., Ceccaldi, M., Chételat, G., Dubois, B., Dufouil, C., Ellis, K. A., van der Flier, W. M., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.01.001 · Cited by 3,014
Self-citationMemory loss in Alzheimer's disease
Jahn, H. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.4/hjahn · Cited by 653
Subjective Cognitive Decline in Preclinical Alzheimer's Disease
Rabin, L. A., Smart, C. M., & Amariglio, R. E. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045136 · Cited by 590
Lewczuk, P., Riederer, P. F., O’Bryant, S. E., Verbeek, M. M., Dubois, B., Visser, P. J., Jellinger, K. A., Engelborghs, S., Ramírez, A., Parnetti, L., et al. (2017) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2017.1375556 · Cited by 318
Self-citationNeuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease
Wang, X., Huang, W., Su, L., Xing, Y., Jessen, F., Sun, Y., Shu, N., & Han, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00395-3 · Cited by 265
Self-citation
Metadata
- Authors
- Peter, J., Scheef, L., Abdulkadir, A., Boecker, H., Heneka, M., Wagner, M., Koppara, A., Klöppel, S., Jessen, F., & Initiative, A. D. N.
- Affiliations
- University of Freiburg (DE)
- University Hospital Bonn (DE)
- University of Bonn (DE)
- University Medical Center Freiburg (DE)
- Corresponding author
- Peter, Jessica
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2013-07-17
- Volume
- 10
- Issue
- 1
- Pages
- 99-108
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W2062151508
- Cited by
- 165
- References
- 53
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 14 · 2023: 6 · 2022: 12 · 2021: 19 · 2020: 15 · 2019: 20 · 2018: 15 · 2017: 17 · 2016: 13 · 2015: 12 · 2014: 9 · 2013: 1
- FWCI
- 8.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Open Repository and Bibliography (University of Luxembourg) (submittedVersion)
- DZNE Pub (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (KL 2415/2‐1)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- subjective memory impairment, gray matter atrophy
- MeSH terms
- Aged, Atrophy, Brain, Cognition Disorders, Cross-Sectional Studies, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Memory Disorders, Middle Aged, Neuropsychological Tests, ROC Curve, Imaging, Three-Dimensional, Support Vector Machine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
