Aberrant memory system connectivity and working memory performance in subjective cognitive decline
Open accessAbstract
Subjective cognitive decline, a perceived worsening of cognitive functioning without objective deficit on assessment, could indicate incipient dementia. However, the neural correlates of subjective cognitive decline as assessed by magnetic resonance imaging remain somewhat unclear. Here, we evaluated differences in functional connectivity across memory regions, and cognitive performance, between healthy older adults aged 50 to 85 with (n = 35, Age = 68.5 ± 7.7, 22 female), and without (n = 48, Age = 67.0 ± 8.8, 29 female) subjective cognitive decline. We also evaluated neurite density, fractional anisotropy, and mean diffusivity of the parahippocampal cingulum, cingulate gyrus cingulum, and uncinate fiber bundles in a subsample of participants (n = 37). Participants with subjective cognitive decline displayed lower average functional connectivity across regions of a putative posterior memory system, and lower retrosplenial-precuneus functional connectivity specifically, than those without memory complaints. Furthermore, participants with subjective cognitive decline performed poorer than controls on visual working memory. However, groups did not differ in cingulum or uncinate diffusion measures. Our results show differences in functional connectivity and visual working memory in participants with subjective cognitive decline that could indicate potential incipient dementia.
Integrity signals
Registry
Cites
Statistics
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?
Subjects with subjective cognitive decline exhibit higher functional connectivity in the retrosplenial cortex and precuneus and lower functional connectivity in the frontal-parietal cortex and putative posterior memory system.
“Subjects with SCD exhibited higher FC in the retrosplenial cortex and precuneus and lower FC in the frontal-parietal cortex and putative posterior memory system [115, 136, 137].”
From Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease (2020) · cites this paper as [115]
In individuals with SCD, significantly decreased FA and increased MD have been observed in the cerebrum, mainly in the hippocampal body, entorhinal cortex and parahippocampal gyrus, uncinated fasciculi, longitudinal fasciculi and corpus callosum, whereas some studies reported no statistically significant differences in diffusion metrics.
“In individuals with SCD, significantly decreased FA and increased MD have been observed in the cerebrum, mainly in the hippocampal body, entorhinal cortex and parahippocampal gyrus, uncinated fasciculi, longitudinal fasciculi and corpus callosum [77, 78, 109–113], whereas Kiuchi et al. and Viviano et al. reported no statistically significant differences in diffusion metrics [114, 115].”
From Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease (2020) · cites this paper as [115]
Cites
Beck, A. T., Steer, R. A., & Brown, G. (2011) · PsycTESTS Dataset · doi:10.1037/t00742-000 · Cited by 7,535 · see citing works
Working Memory: Theories, Models, and Controversies
Baddeley, A. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100422 · Cited by 4,271 · see citing works
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288 · see citing works
People thinking about thinking peopleThe role of the temporo-parietal junction in “theory of mind”
Saxe, R., & Kanwisher, N. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00230-1 · Cited by 2,316 · cited 1× · see citing works
“, precuneus, also have a role in self-referential processing and theory of mind (Buckner et al., 2008; Saxe and Kanwisher, 2003).”
BackgroundWhat does the retrosplenial cortex do?
Vann, S. D., Aggleton, J. P., & Maguire, E. A. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2733 · Cited by 1,409 · see citing works
Long-axis specialization of the human hippocampus
Poppenk, J., Evensmoen, H. R., Moscovitch, M., & Nadel, L. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.03.005 · Cited by 1,100 · see citing works
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 · see citing works
The pre-mild cognitive impairment, subjective cognitive impairment stage of Alzheimer’s disease.
Reisberg, B., Prichep, L., Mosconi, L., John, E. R., Glodzik‐Sobanska, L., Boksay, I., Monteiro, I., Torossian, C., Vedvyas, A., Ashraf, N., et al. (2008) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2007.11.017 · Cited by 312 · see citing works
White matter pathology isolates the hippocampal formation in Alzheimer's disease
Salat, D. H., Tuch, D. S., van der Kouwe, A. J. W., Greve, D. N., Pappu, V., Lee, S. Y., Hevelone, N. D., Zaleta, A. K., Growdon, J. H., Corkin, S., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.03.013 · Cited by 279 · see citing works
Gray matter atrophy pattern in elderly with subjective memory impairment
Peter, J., Scheef, L., Abdulkadir, A., Boecker, H., Heneka, M., Wagner, M., Koppara, A., Klöppel, S., Jessen, F., & Initiative, A. D. N. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.05.1764 · Cited by 165 · see citing works
White matter degeneration in subjective cognitive decline: a diffusion tensor imaging study
Li, X.-Y., Tang, Z.-C., Sun, Y., Tian, J., Liu, Z.-Y., & Han, Y. (2016) · Oncotarget · doi:10.18632/oncotarget.10091 · Cited by 65 · see citing works
Yasuno, F., Kazui, H., Yamamoto, A., Morita, N., Kajimoto, K., Ihara, M., Taguchi, A., Matsuoka, K., Kosaka, J., Tanaka, T., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.03.006 · Cited by 44 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Neuroimaging 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 · see citing works
Yang, L., Yan, Y., Wang, Y., Hu, X., Lu, J., Chan, P., Yan, T., & Han, Y. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00975 · Cited by 182 · see citing works
- Authors
- Viviano, R. P., Hayes, J. M., Pruitt, P. J., Fernandez, Z. J., van Rooden, S., van der Grond, J., Rombouts, S. A. R. B., & Damoiseaux, J. S.
- Affiliations
- Wayne State University (US)
- Leiden University (NL)
- Corresponding author
- Damoiseaux, Jessica S.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 185
- Pages
- 556-564
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2896182767
- Cited by
- 77
- References
- 12
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 8 · 2023: 14 · 2022: 9 · 2021: 13 · 2020: 13 · 2019: 6 · 2018: 1
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- NeuroImage (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Netherlands Organisation for Scientific Research (016.136.072)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- subjective cognitive decline, functional connectivity, visual working memory, uncinate fasciculus, white matter microstructure, diffusion MRI, older adults
- MeSH terms
- Aged, Aged, 80 and over, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Memory, Short-Term, Middle Aged, Nerve Net, Cognitive Dysfunction
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