The DOI matches its Crossref record.
Clinical Neurology of Aging
Abstract
This resource features 60 chapters written by the world's elite clinicians from neurology, geriatrics and research on all aspects of geriatric neurology, and the authors have incorporated the geriatric care perspective and a quality-oriented approach to health care throughout, resulting in the definitive reference for all clinicians caring for older people as well as for those who set policies that affect research and clinical practice.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Differential aging of the brain: Patterns, cognitive correlates and modifiers
Raz, N., & Rodrigue, K. M. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.07.001 · Cited by 1,195
DeCarli, C., Massaro, J., Harvey, D., Hald, J., Tullberg, M., Au, R., Beiser, A., D’Agostino, R., & Wolf, P. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.05.004 · Cited by 680
Diffusion tensor imaging and aging
Sullivan, E. V., & Pfefferbaum, A. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.002 · Cited by 649
Hippocampal formation glucose metabolism and volume losses in MCI and AD
De Santi, S., de Leon, M. J., Rusinek, H., Convit, A., Tarshish, C. Y., Roche, A., Tsui, W. H., Kandil, E., Boppana, M., Daisley, K., et al. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00230-5 · Cited by 548
Alzheimer's disease as homeostatic responses to age-related myelin breakdown
Bartzokis, G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.08.007 · Cited by 546
Neuroanatomical correlates of cognitive aging: Evidence from structural magnetic resonance imaging.
Raz, N., Gunning-Dixon, F. M., Head, D., Dupuis, J. H., & Acker, J. D. (1998) · Neuropsychology · doi:10.1037/0894-4105.12.1.95 · Cited by 454
Specific Hippocampal Volume Reductions in Individuals at Risk for Alzheimer’s Disease
Convit, A., De Leon, M. J., Tarshish, C., De Santi, S., Tsui, W., Rusinek, H., & George, A. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00001-8 · Cited by 427
Convit, A., de Asis, J., de Leon, M. J., Tarshish, C. Y., De Santi, S., & Rusinek, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(99)00107-4 · Cited by 359
Sullivan, E. V., Rohlfing, T., & Pfefferbaum, A. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.04.007 · Cited by 346
Neural correlates of cognitive efficiency
Rypma, B., Berger, J. S., Prabhakaran, V., Martin Bly, B., Kimberg, D. Y., Biswal, B. B., & D'Esposito, M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.065 · Cited by 334
Preservation of limbic and paralimbic structures in aging
Grieve, S. M., Clark, C. R., Williams, L. M., Peduto, A. J., & Gordon, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20115 · Cited by 293
Callaghan, M. F., Freund, P., Draganski, B., Anderson, E., Cappelletti, M., Chowdhury, R., Diedrichsen, J., FitzGerald, T. H. B., Smittenaar, P., Helms, G., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.02.008 · Cited by 292
The effects of normal aging on sleep spindle and K-complex production
Crowley, K. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00237-7 · Cited by 256
Myelin breakdown and iron changes in Huntington's disease: pathogenesis and treatment implications
Bartzokis, G., Lu, P. H., Tishler, T. A., Fong, S. M., Oluwadara, B., Finn, J. P., Huang, D., Bordelon, Y., Mintz, J., & Perlman, S. (2007) · Neurochemical Research · doi:10.1007/s11064-007-9352-7 · Cited by 238
Liu, Y., Spulber, G., Lehtimäki, K. K., Könönen, M., Hallikainen, I., Gröhn, H., Kivipelto, M., Hallikainen, M., Vanninen, R., & Soininen, H. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.10.006 · Cited by 236
The role of executive functioning in CBT: a pilot study with anxious older adults
Mohlman, J., & Gorman, J. M. (2005) · Behaviour Research and Therapy · doi:10.1016/j.brat.2004.03.007 · Cited by 229
Treatment of sleep disturbance in Alzheimer's disease
McCurry, S. M., Reynolds, C. F., Ancoli-Israel, S., Teri, L., & Vitiello, M. V. (2000) · Sleep Medicine Reviews · doi:10.1053/smrv.2000.0127 · Cited by 170
Relating imaging indices of white matter integrity and volume in healthy older adults
Hugenschmidt, C. E., Peiffer, A. M., Kraft, R. A., Casanova, R., Deibler, A. R., Burdette, J. H., Maldjian, J. A., & Laurienti, P. J. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm080 · Cited by 166
Bartzokis, G., Lu, P. H., Heydari, P., Couvrette, A., Lee, G. J., Kalashyan, G., Freeman, F., Grinstead, J. W., Villablanca, P., Finn, J. P., et al. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.07.010 · Cited by 152
A comparison of methods for measuring cognitive change in older adults
FRERICHS, R., & TUOKKO, H. (2005) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2004.08.002 · Cited by 112
Age-related myelin dynamics revealed by increased oligodendrogenesis and short internodes
Lasiene, J., Matsui, A., Sawa, Y., Wong, F., & Horner, P. J. (2009) · Aging Cell · doi:10.1111/j.1474-9726.2009.00462.x · Cited by 111
Bartzokis, G., Lu, P. H., Geschwind, D. H., Tingus, K., Huang, D., Mendez, M. F., Edwards, N., & Mintz, J. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.03.024 · Cited by 109
Khedr, E., Hamed, S. A., Elbeih, E., El-Shereef, H., Ahmad, Y., & Ahmed, S. (2008) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-008-0822-y · Cited by 76
Midlife aging, open-ended planning, and laboratory measures of executive function.
Garden, S. E., Phillips, L. H., & MacPherson, S. E. (2001) · Neuropsychology · doi:10.1037/0894-4105.15.4.472 · Cited by 66
Acetylcholinesterase inhibitors may improve myelin integrity
Bartzokis, G. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.08.020 · Cited by 41
Cognitive function in late versus early postmenopausal stage
Elsabagh, S., Hartley, D. E., & File, S. E. (2007) · Maturitas · doi:10.1016/j.maturitas.2006.06.007 · Cited by 40
Decision and stress: cognition and e-accessibility in the information workplace
Adams, R. (2007) · Universal Access in the Information Society · doi:10.1007/s10209-006-0061-9 · Cited by 37
Staging Neurodegenerative Disorders: Structural, Regional, Biomarker, and Functional Progressions
Archer, T., Kostrzewa, R. M., Beninger, R. J., & Palomo, T. (2011) · Neurotoxicity Research · doi:10.1007/s12640-010-9190-2 · Cited by 34
Tirto, A. R., & Turnip, S. S. (2019) · HUMANITAS: Indonesian Psychological Journal · doi:10.26555/humanitas.v16i1.10143 · Cited by 7
Metadata
- Venue
- Oxford University Press eBooks
- Publisher
- Oxford University Press
- Published
- 2010-12
- OpenAlex
- W2021960402
- Cited by
- 358
- References
- 0
- FWCI
- 14.31
- Type
- book
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
