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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
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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
Wechsler Adult Intelligence Scale--Third Edition
Wechsler, D. (2019) · PsycTESTS Dataset · doi:10.1037/t49755-000 · Cited by 2,327
Squire, L. R. (1984) · Springer eBooks · doi:10.1007/978-3-642-70094-1_32 · Cited by 2,130
Petersen, R. C., Stevens, J. C., Ganguli, M., Tangalos, E. G., Cummings, J. L., & DeKosky, S. T. (2001) · Neurology · doi:10.1212/wnl.56.9.1133 · Cited by 2,065
Episodic memory, amnesia, and the hippocampal–anterior thalamic axis
Aggleton, J. P., & Brown, M. W. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99002034 · Cited by 1,879
Shunk, A. W., Davis, A. S., & Dean, R. S. (2006) · Applied Neuropsychology · doi:10.1207/s15324826an1304_9 · Cited by 1,540
California Verbal Learning Test
Delis, D. C., Freeland, J., Kramer, J. H., & Kaplan, E. (1987) · PsycTESTS Dataset · doi:10.1037/t48844-000 · Cited by 1,450
Jorm, A. F. (1994) · Psychological Medicine · doi:10.1017/s003329170002691x · Cited by 1,198
The biochemical pathway of neurofibrillary degeneration in aging and Alzheimer's disease.
Delacourte, A., David, J. P., Sergeant, N., Buée, L., Wattez, A., Vermersch, P., Ghozali, F., Fallet-Bianco, C., Pasquier, F., Lebert, F., et al. (1999) · Neurology · doi:10.1212/wnl.52.6.1158 · Cited by 828
In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease
Baron, J., Chételat, G., Desgranges, B., Perchey, G., Landeau, B., Sayette, V. D. L., & Eustache, F. (2001) · NeuroImage · doi:10.1006/nimg.2001.0848 · Cited by 699
Thomas, G., & Ordy, J. M. (1992) · Cited by 627
Development and Validation of a Model for Estimating Premorbid Verbal Intelligence in the Elderly
Grober, E. H., Sliwinsk, M., & Korey, S. R. (1991) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/01688639108405109 · Cited by 562
Chételat, G., Landeau, B., Eustache, F., Mézenge, F., Viader, F., de la Sayette, V., Desgranges, B., & Baron, J.-C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.015 · Cited by 526
Usefulness of MRI measures of entorhinal cortex versus hippocampus in AD
de Leon, M. J., Bobinski, M., Convit, A. J., Wolf, O. T., & Insausti, R. (2001) · Neurology · doi:10.1212/wnl.56.6.820 · Cited by 351
The Wechsler Memory Scale, Third Edition
Tulsky, D. S., Chiaravalloti, N. D., Palmer, B. W., & Chelune, G. J. (2003) · Elsevier eBooks · doi:10.1016/b978-012703570-3/50007-9 · Cited by 343
Usefulness of MRI measures of entorhinal cortex versus hippocampus in AD
Xu, Y., Jack, C. R., O’Brien, P. C., Kokmen, E., Smith, G. E., Ivnik, R. J., Boeve, B. F., Tangalos, R. G., & Petersen, R. C. (2000) · Neurology · doi:10.1212/wnl.54.9.1760 · Cited by 337
Callen, D. J., Black, S. E., Gao, F., Caldwell, C. B., & Szalai, J. P. (2001) · Neurology · doi:10.1212/wnl.57.9.1669 · Cited by 311
The Human Brain: Surface, Blood Supply, and Three-Dimensional Sectional Anatomy
Preul, M. C. (2001) · Neurosurgery · doi:10.1097/00006123-200104000-00067 · Cited by 309
Image processing for the study of brain structure and function: problems and programs
Andreasen, N. C., Cohen, G., Harris, G., Cizadlo, T., Parkkinen, J., Rezai, K., & Swayze, V. W. (1992) · Journal of Neuropsychiatry · doi:10.1176/jnp.4.2.125 · Cited by 262
Neuropsychology of memory, 2nd ed.
Squire, L. R., & Butters, N. (1992) · Cited by 227
A voxel based morphometry study on mild cognitive impairment
Pennanen, C. (2004) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2004.035600 · Cited by 218
A critical discussion of the role of neuroimaging in mild cognitive impairment*
Wolf, H., Jelić, V., Gertz, H., Nordberg, A. K., Julin, P., & Wahlund, L. (2003) · Acta Neurologica Scandinavica · doi:10.1034/j.1600-0404.107.s179.10.x · Cited by 213
Memory complaints in patients with normal cognition are associated with smaller hippocampal volumes
van der Flier, W. M., van Buchem, M. A., Weverling‐Rijnsburger, A. W. E., Mutsaers, E., Bollen, E. L. E. M., Behloul, F., Westendorp, R. J., & Middelkoop, H. A. M. (2004) · Journal of Neurology · doi:10.1007/s00415-004-0390-7 · Cited by 205
Fornix and hippocampal atrophy in traumatic brain injury.Preprint
Tate, D., & Bigler, E. (2000) · Learning & memory (Cold Spring Harbor, N.Y.) · doi:10.1101/lm.33000 · Cited by 203
Memory complaint after electroconvulsive therapy: assessment with a new self-rating instrument.
Squire, L. R., Wetzel, C., & Slater, P. C. (1979) · PubMed · Cited by 199
Charness, M. E., & DeLaPaz, R. L. (1987) · Annals of Neurology · doi:10.1002/ana.410220506 · Cited by 135
Mammillary Body and Cerebellar Shrinkage in Chronic Alcoholics with and without Amnesia
Shear, P. K., Sullivan, E. V., Lane, B., & Pfefferbaurn, A. (1996) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.1996.tb01153.x · Cited by 126
Regionally specific atrophy of the corpus callosum in AD, MCI and cognitive complaints
Wang, P. J., Saykin, A. J., Flashman, L. A., Wishart, H. A., Rabin, L. A., Santulli, R. B., McHugh, T., MacDonald, J. W., & Mamourian, A. C. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.035 · Cited by 116
Parker, A. J., & Gaffan, D. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.4.512 · Cited by 93
Quantitative MRI in temporal lobe epilepsy
Kuzniecky, R., Bilir, E., Gilliam, F. G., Faught, E., Martin, R. C., & Hugg, J. W. (1999) · Neurology · doi:10.1212/wnl.53.3.496 · Cited by 85
Fornix degeneration and memory in traumatic brain injury
Gale, S. D., Burr, R. B., Bigler, E. D., & Blatter, D. D. (1993) · Brain Research Bulletin · doi:10.1016/0361-9230(93)90198-k · Cited by 74
Longitudinal volumetric MRI study in first- and multiple-episode male schizophrenia patients
Whitworth, A. B., Kemmler, G., Honeder, M., Kremser, C., Felber, S., Hausmann, A., Walch, T., Wanko, C., Weiss, E. M., Stuppaeck, C., et al. (2005) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2005.07.006 · Cited by 70
What is a memory system? Horel's critique revisited
Gaffan, D. (2001) · Behavioural Brain Research · doi:10.1016/s0166-4328(01)00360-6 · Cited by 62
The Human Brain: Surface, Blood Supply, and Three-Dimensional Sectional Anatomy
Preul, M. C. (2001) · Neurosurgery · doi:10.1097/0006123-200104000-00067 · Cited by 62
Volumetric MRI of the limbic system: anatomic determinants
Bilir, E., Craven, W., Hugg, J. W., Gilliam, F. G., Martin, R. C., Faught, E., & Kuzniecky, R. (1998) · Neuroradiology · doi:10.1007/s002340050554 · Cited by 58
The role of volumetric MRI in understanding mild cognitive impairment and similar classifications
Anstey, K. J., & Maller, J. J. (2003) · Aging & Mental Health · doi:10.1080/1360786031000120732 · Cited by 57
Imaging of Alzheimer's Disease
Lee, B. C. P., Mintun, M. A., Buckner, R. L., & Morris, J. C. (2003) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2003.tb00179.x · Cited by 55
Saykin, A. J., Janssen, R. S., Sprehn, G. C., Kaplan, J. E., Spira, T. J., & O'Connor, B. (1991) · Journal of Neuropsychiatry · doi:10.1176/jnp.3.3.286 · Cited by 47
The role of the hippocampus-fornix-mammillary system in episodic memory.
Gaffan, D. (1992) · Cited by 46
The role of neuroimaging in dementia
DeCarli, C. S. (2001) · Clinics in Geriatric Medicine · doi:10.1016/s0749-0690(05)70068-9 · Cited by 39
Neuropsychological explorations of memory and cognition : essays in honor of Nelson Butters
Butters, N., & Cermak, L. S. (1994) · Plenum Press eBooks · Cited by 35
A quantitative MR measure of the fornix in schizophrenia
Zahajszky, J., Dickey, C. C., McCarley, R. W., Fischer, I. A., Nestor, P. G., Kikinis, R., & Shenton, M. E. (2001) · Schizophrenia Research · doi:10.1016/s0920-9964(00)00051-7 · Cited by 32
Mammillary Body Damage Results in Memory Impairment But Not Amnesia
Kapur, N., Crewes, H., Wise, R., Abbott, P., Carter, M., Millar, J. S., & Lang, D. A. (1998) · Neurocase · doi:10.1080/13554799808410643 · Cited by 26
The Mammillary Bodies Revisited
Kapur, N., Scholey, K. A., Moore, E. A., Barker, S., Mayes, A. R., Brice, J., & Fleming, J. S. (1994) · Critical issues in neuropsychology · doi:10.1007/978-1-4899-1196-4_12 · Cited by 23
Morphometry of the amygdala in patients with questionable dementia and mild dementia
Hensel, A., Wolf, H., Dieterlen, T., Riedel-Heller, S. G., Arendt, T., & Gertz, H. (2005) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2005.06.011 · Cited by 12
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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“…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).”
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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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