Diffusion tensor imaging and cognitive function in older adults with no dementia
Open accessAbstract
OBJECTIVE: To determine the patterns of diffusivity associated with cognitive domain functions in older adults without dementia. METHODS: We studied older adults without dementia (n = 220) who underwent neuropsychometric testing and a diffusion tensor imaging (DTI) examination at 3 T in a cross-sectional study. Memory, language, attention/executive function, and visual-spatial processing domains were assessed within 4 months of the MRI examination. A fluid-attenuated inversion recovery-based DTI sequence that enabled uncontaminated cortical diffusion measurements was performed. Associations between cortical mean diffusivity (MD) and cognitive function were tested using voxel-based regression analysis. Association between tract diffusivity and cognitive function was tested with regions of interest drawn on color-coded fractional anisotropy (FA) maps. RESULTS: Memory function was associated with the medial temporal lobe cortical MD on voxel-based analysis (p < 0.001, corrected for multiple comparisons), and inferior longitudinal fasciculus and posterior and anterior cingulum FA on tract-based analysis (p < 0.001). Language function was associated with the left temporal lobe cortical MD (p < 0.001, corrected for multiple comparisons), inferior longitudinal fasciculus, fornix, and posterior cingulum FA (p < 0.05). Attention and executive function was associated with the posterior and anterior cingulum FA, and visual-spatial function was associated with posterior cingulum FA (p < 0.01). CONCLUSION: Specific cognitive domain functions are associated with distinct patterns of cortical and white matter diffusivity in elderly with no dementia. Posterior cingulum tract FA was associated with all 4 cognitive domain functions, in agreement with the hypothesis that the posterior cingulate cortex is the main connectivity hub for cognitive brain networks. Microstructural changes identified on DTI may be associated with neurodegenerative pathologies underlying cognitive changes in older adults without dementia.
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Kantarci et al. (2011) found FA differences in the anterior cingulum correlate with differences in attention/executive and memory performance, while FA in the posterior dorsal cingulum appeared to contribute to all four cognitive domains.
“They found FA differences in the anterior cingulum to correlate with differences in attention/executive and memory performance, while FA in the posterior dorsal cingulum appeared to contribute to all four cognitive domains.”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Kantarci et al., 2011
The attention/executive results and Table 2 report correlations between anterior cingulum FA and both attention/executive and memory performance. The Abstract and Figure 1 passage report that posterior cingulum FA was associated with all four cognitive domains. The paper does not identify that posterior cingulum measurement as dorsal; its reference to a dorsal component concerns the superior longitudinal fasciculus. (LLM, conf=0.84)
Experimental — accuracy not yet measuredCingulum associations with episodic memory are not always observed in healthy older individuals nor are they always confined to its parahippocampal subdivision.
“However, such cingulum associations with episodic memory are not always observed in healthy older individuals (Metzler-Baddeley et al., 2011) nor are they always confined to its parahippocampal subdivision (e.g., Kantarci et al., 2011).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Kantarci et al., 2011
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References 40 · Cited by 182
Research works printed but not linked: 30
- Morris JC, Kimberly A, Quaid K, et al. Role of biomarkers in studies of presymptomatic Alzheimer's disease. Alzhei- mers Dement 2005;1:145-151.
- Ulug AM, Moore DF, Bojko AS, Zimmerman RD. Clini- cal use of diffusion-tensor imaging for diseases causing neuronal and axonal damage. AJNR Am J Neuroradiol 1999;20:1044 -1048.
- Roberts RO, Geda YE, Knopman DS, et al. The Mayo Clinic Study of Aging: design and sampling, participation, baseline measures and sample characteristics. Neuroepide- miology 2008;30:58 -69.
- Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med 2004;256:183-194.
- Lucas JA, Ivnik RJ, Smith GE, et al. Mayo's older Ameri- cans normative studies: category fluency norms. J Clin Exp Neuropsychol 1998;20:194 -200.
- Ivnik RJ, Malec JF, Smith GE, Tangalos EG, Petersen RC. Neuropsychological tests' norms above age 55: COWAT, BNT, MAE Token, WRAT-R Reading, AMNART, STROOP, TMT, and JLO. Clin Neuropsychol 1996;10: 262-278.
- Kwong KK, McKinstry RC, Chien D, Crawley AP, Pearlman JD, Rosen BR. CSF-suppressed quantitative single-shot diffu- sion imaging. Magn Reson Med 1991;21:157-163.
- Kantarci K, Avula R, Senjem ML, et al. Dementia with Lewy bodies and Alzheimer disease: neurodegenerative patterns characterized by DTI. Neurology 2010;74:1814 - 1821.
- Fellgiebel A, Muller MJ, Wille P, et al. Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment. Neurobiol Aging 2005;26: 1193-1198.
- Fellgiebel A, Dellani PR, Greverus D, Scheurich A, Stoeter P, Muller MJ. Predicting conversion to dementia in mild cognitive impairment by volumetric and diffusivity mea- surements of the hippocampus. Psychiatry Res 2006;146: 283-287.
- Medina D, DeToledo-Morrell L, Urresta F, et al. White matter changes in mild cognitive impairment and AD: a diffusion tensor imaging study. Neurobiol Aging 2006;27: 663-672.
- Zhang Y, Schuff N, Jahng GH, et al. Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease. Neurology 2007;68:13-19.
- Chen TF, Chen YF, Cheng TW, Hua MS, Liu HM, Chiu MJ. Executive dysfunction and periventricular diffusion tensor changes in amnesic mild cognitive impairment and early Alzheimer's disease. Hum Brain Mapp 2009;30: 3826 -3836.
- Grambaite R, Stenset V, Reinvang I, Walhovd KB, Fjell AM, Fladby T. White matter diffusivity predicts memory in patients with subjective and mild cognitive impairment and normal CSF total tau levels. J Int Neuropsychol Soc 2009;16:58 -69.
- Huang J, Friedland RP, Auchus AP. Diffusion tensor im- aging of normal-appearing white matter in mild cognitive impairment and early Alzheimer disease: preliminary evi- dence of axonal degeneration in the temporal lobe. AJNR Am J Neuroradiol 2007;28:1943-1948.
- Mielke MM, Kozauer NA, Chan KC, et al. Regionally- specific diffusion tensor imaging in mild cognitive impair- ment and Alzheimer's disease. Neuroimage 2009;46:47-55.
- Walhovd KB, Fjell AM, Amlien I, et al. Multimodal imag- ing in mild cognitive impairment: Metabolism, morphom- etry and diffusion of the temporal-parietal memory network. Neuroimage 2009;45:215-223.
- Carlesimo GA, Cherubini A, Caltagirone C, Spalletta G. Hippocampal mean diffusivity and memory in healthy el- derly individuals: a cross-sectional study. Neurology 2010; 74:194 -200.
- Bendlin BB, Fitzgerald ME, Ries ML, et al. White matter in aging and cognition: a cross-sectional study of micro- structure in adults aged eighteen to eighty-three. Dev Neu- ropsychol 2010;35:257-277.
- Westlye LT, Walhovd KB, Dale AM, et al. Life-span changes of the human brain White matter: diffusion tensor imaging (DTI) and volumetry. Cereb Cortex 2010;20: 2055-2068.
- Bendlin BB, Ries ML, Canu E, et al. White matter is al- tered with parental family history of Alzheimer's disease. Alzheimers Dement 2010;6:394 -403.
- Chao LL, Haxby JV, Martin A. Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects. Nat Neurosci 1999;2:913-919.
- Schwartz MF, Kimberg DY, Walker GM, et al. Anterior temporal involvement in semantic word retrieval: voxel- based lesion-symptom mapping evidence from aphasia. Brain 2009;132:3411-3427.
- Birn RM, Kenworthy L, Case L, et al. Neural systems sup- porting lexical search guided by letter and semantic cate- gory cues: a self-paced overt response fMRI study of verbal fluency. Neuroimage 2010;49:1099 -1107.
- Fellgiebel A, Schermuly I, Gerhard A, et al. Functional relevant loss of long association fibre tracts integrity in early Alzheimer's disease. Neuropsychologia 2008;46: 1698 -1706.
- Grieve SM, Williams LM, Paul RH, Clark CR, Gordon E. Cognitive aging, executive function, and fractional anisot- ropy: a diffusion tensor MR imaging study. AJNR Am J Neuroradiol 2007;28:226 -235.
- Benarroch E. Basic Neurosciences with Clinical Applica- tions. Philadelphia: Elsevier; 2006.
- Greicius MD, Supekar K, Menon V, Dougherty RF. Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb Cortex 2009;19:72-78.
- Knopman DS, Parisi JE, Salviati A, et al. Neuropathology of cognitively normal elderly. J Neuropathol Exp Neurol 2003;62:1087-1095.
- Bourgeat P, Chetelat G, Villemagne VL, et al. Beta- amyloid burden in the temporal neocortex is related to hippocampal atrophy in elderly subjects without dementia. Neurology 2010;74:121-127.
- Authors
- Kantarci, K., Senjem, M. L., Avula, R., Zhang, B., Samikoglu, A. R., Weigand, S. D., Przybelski, S. A., Edmonson, H. A., Vemuri, P., Knopman, D. S., Boeve, B. F., Ivnik, R. J., Smith, G. E., Petersen, R. C., & Jack, C. R.
- Affiliations
- Mayo Clinic (US)
- ORCID
- Venue
- Neurology
- Published
- 2011-07-05
- Volume
- 77
- Issue
- 1
- Pages
- 26-34
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC3127333
- OpenAlex
- W2082533002
- Cited by
- 182
- References
- 40
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 8 · 2023: 18 · 2022: 9 · 2021: 10 · 2020: 17 · 2019: 14 · 2018: 4 · 2017: 10 · 2016: 12 · 2015: 10 · 2014: 18 · 2013: 21 · 2012: 15
- FWCI
- 13.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Alzheimer's Association
- Eli Lilly and Company
- Pfizer
- Baxter International
- Mayo Foundation for Medical Education and Research (AG16574)
- National Alliance for Research on Schizophrenia and Depression
- University of Oxford
- Eisai
- National Institutes of Health (AG11378, P50 AG16574/P1, R01 AG11378, AG16574)
- Forest Laboratories
- National Institute on Aging (R01AG11378, K23AG030935, P50‐AG16574, U01AG06786, AG-06786, P50 AG16574/P1, AG 16574, U01AG006786, R01AG011378, AG-11378, P50AG016574)
- National Institute of Mental Health
- National Institute of Neurological Disorders and Stroke
- National Institute of Biomedical Imaging and Bioengineering
- National Center for Research Resources (RR018898, C06RR018898)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- diffusion tensor imaging, cognitive function, older adults without dementia, mean diffusivity, fractional anisotropy, posterior cingulum, posterior cingulate cortex, inferior longitudinal fasciculus, fornix, white matter microstructure, memory, language, attention and executive function, visuospatial processing, neurodegeneration
- MeSH terms
- Aged, Aged, 80 and over, Aging, Brain Mapping, Cognition Disorders, Female, Humans, Image Processing, Computer-Assisted, Language Disorders, Male, Memory Disorders, Middle Aged, Nerve Fibers, Myelinated, Neuropsychological Tests, Space Perception, Anisotropy, Diffusion Tensor Imaging
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