The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
The fornix and mammillary bodies in older adults with Alzheimer’s disease, mild cognitive impairment, and cognitive complaints: A volumetric MRI study.
Abstract
The fornix and mammillary bodies are important limbic structures that have not been systematically investigated in the earliest stages of preclinical dementia. The present study examined volumetric changes in the fornix and mammillary bodies and improved previously established tracing guidelines to increase reliability and provide more comprehensive measurements. Volumetric measurements were made in euthymic older adults, including 16 patients with mild Alzheimer's disease (AD), 20 patients with amnestic mild cognitive impairment (MCI), 20 individuals with cognitive complaints (CC) but normal neuropsychological test performance, and 20 demographically matched healthy controls (HC). Structural magnetic resonance imaging included a T1-weighted 1.5-mm coronal volume, acquired on a GE 1.5T LX scanner. After adjustment for total intracranial volume (ICV), significant volume reductions were observed in the fornix and mammillary bodies in patients with AD as compared with HC, CC, and MCI participants. No volume differences were seen between the HC, CC, and MCI groups. Study findings are consistent with previous research showing volume decreases of the fornix and mammillary bodies in AD, and provide new data on the relative preservation of these structures in preclinical disease stages. Results suggest that atrophy of the fornix and mammillary bodies becomes apparent at the point of conversion from MCI to AD. Longitudinal assessments are needed to delineate the time course and extent of the observed volumetric changes.
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“The fornix is a white matter bundle belonging to the medial diencephalon and serves a vital role in memory functions (Copenhaver et al., 2006; Nowrangi and Rosenberg, 2015).”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Copenhaver et al., 2006
Citations
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. ‐., Nordberg, A., Bäckman, L., Albert, M., Almkvist, O., et al. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01380.x · Cited by 4,946
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
Wisconsin Card Sorting Test Manual – Revised and Expanded
Heaton, R. K., Chelune, C., Talley, J., Kay, G., & Curtiss, G. (1981) · Medical Entomology and Zoology · Cited by 2,975
Delis-Kaplan Executive Function System
Delis, D. C., Kaplan, E., & Kramer, J. H. (2012) · PsycTESTS Dataset · doi:10.1037/t15082-000 · Cited by 2,683
Research works printed but not linked: 2
- Rabin, 2004, Telephone-based screening for MCI and cognitive complaints: preliminary validation by comprehensive assessment, Proceedings of the International Neuropsychological Society, 32, 3
- Saykin, 2003, Relation of decreased gray matter volume to verbal learning and subjective memory complaints in healthy older adults and patients with mild cognitive impairment, Journal of Neuropsychiatry and Clinical Neuroscience, 15, 263
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Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
Initiative, T. A. D. N., Suk, H., Lee, S., & Shen, D. G. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0687-3 · Cited by 538
“…et al. 2013; Yao et al. 2012), superior parietal lobule, precuneus, cuneus (Bokde et al. 2006; Singh et al. 2006; Davatzikos et al. 2011), cingulate region (Mosconi 2005), anterior limb of internal capsule (Zhang et al. 2009), caudate nucleus (Dai et al. 2009), fornix (Copenhaver et al. 2006).”
BackgroundAging of cerebral white matter
Liu, H., Yang, Y., Xia, Y., Zhu, W., Leak, R. K., Wei, Z., Wang, J., & Hu, X. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.11.006 · Cited by 276
Ishii, M., & Iadecola, C. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.08.016 · Cited by 245
Deep Brain Stimulation Influences Brain Structure in Alzheimer's Disease
Sankar, T., Chakravarty, M. M., Bescós, A., Lara, M., Obuchi, T., Laxton, A. W., McAndrews, M. P., Tang‐Wai, D. F., Workman, C. I., Smith, G. S., et al. (2014) · Brain stimulation · doi:10.1016/j.brs.2014.11.020 · Cited by 225
Automated segmentation of the hypothalamus and associated subunits in brain MRI
Billot, B., Bocchetta, M., Todd, E. G., Dalca, A. V., Rohrer, J. D., & Iglesias, J. E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117287 · Cited by 229
Metadata
- Authors
- Copenhaver, B. R., Rabin, L. A., Saykin, A. J., Roth, R. M., Wishart, H. A., Flashman, L. A., Santulli, R. B., McHugh, T. L., & Mamourian, A. C.
- Affiliations
- Dartmouth College (US)
- Dartmouth–Hitchcock Medical Center (US)
- Corresponding author
- Saykin, Andrew J.
- Venue
- Psychiatry Research Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2006-10
- Volume
- 147
- Issue
- 2-3
- Pages
- 93-103
- ISSN
- 0925-4927 (ISSN-L)
- OpenAlex
- W1979535807
- Cited by
- 112
- References
- 54
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 4 · 2023: 4 · 2022: 8 · 2021: 7 · 2020: 9 · 2019: 5 · 2018: 4 · 2017: 4 · 2016: 7 · 2015: 4 · 2014: 5 · 2013: 11 · 2012: 3
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychiatry Research Neuroimaging (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Dartmouth-Hitchcock Medical Center
- National Institute on Aging (R01 AG19771, R01AG019771)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- fornix, mammillary bodies, Alzheimer's disease, mild cognitive impairment, cognitive complaints, preclinical dementia, limbic system, brain atrophy, volumetric MRI
- MeSH terms
- Aged, Alzheimer Disease, Cognition Disorders, Demography, Female, Humans, Magnetic Resonance Imaging, Male, Mammillary Bodies, Neuropsychological Tests, Severity of Illness Index, Fornix, Brain, Plaque, Amyloid
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