Aging-related microstructural alterations along the length of the cingulum bundle
Open accessAbstract
The aim of this study was to investigate the aging-related structural changes of the cingulum, one of the major components of the limbic network, which has a critical role in emotion, attention, and memory. Thirty-five healthy young adults (22.3 ± 2.7 years) and 33 healthy older adults (69.5 ± 3.5 years) were recruited. Diffusion weighted imaging data were acquired with a b-value = 2000 sec/mm2 and 61 diffusion directions and 4 non-weighted images. The fiber directions in each voxel were based on the constrained spherical deconvolution model. The cingulum was segmented into three branches using deterministic tractography (subgenual, retrosplenial, and parahippocampal), using a region-of-interest-based approach. Atlas-based tractography was the method used to obtain the output tracts of each branch of the cingulum. Along-tract analysis was performed on each branch. We found a statistically significant change with aging in the left subgenual branch of the cingulum with a decrease in fractional anisotropy and axial diffusivity, as well as an increase in radial diffusivity. No statistically significant differences were found between young and older groups in the other two branches. This study adds to knowledge about how the cingulum changes structurally along its entire length during aging in a more detailed way, thanks to an advanced methodological approach.
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
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.
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?
Some evidence is consistent with an age-related gradient along the long axis of the cingulum, in which frontal parts of the bundle appear most affected.
“Some of the evidence is consistent with an age-related gradient along the long axis of the cingulum, in which frontal parts of the bundle appear most affected (Catheline et al., 2010; Mårtensson et al., 2018; Sibilia et al., 2017; Yoon et al., 2008; see for review Chua et al., 2008).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Sibilia et al., 2017
The available passages contain the title and publication metadata but no findings about which part of the cingulum is most affected. Searches for frontal, anterior–posterior, and age-related differences returned no results passage that could establish the claimed gradient. (LLM, conf=0.72)
Experimental — accuracy not yet measuredOlder versus younger adults exhibited lower FA and AD as well as increased RD in the left subgenual cingulum, but not in the retrosplenial or parahippocampal cingulum.
“For example, older versus younger adults exhibited lower FA and AD as well as increased RD in the left subgenual cingulum, but not in the retrosplenial or parahippocampal cingulum (Sibilia et al., 2017).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Sibilia et al., 2017
The passages available from our copy are bibliographic metadata (labeled Abstract, no page), not study results. Searches for FA, AD, RD, the left subgenual cingulum, and the retrosplenial and parahippocampal cingulum found no passage reporting the claimed comparison, so it cannot be verified from this copy. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Microstructural maturation of the human brain from childhood to adulthood
Lebel, C., Walker, L., Leemans, A., Phillips, L., & Beaulieu, C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.053 · Cited by 1,398 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740 · see citing works
“Some of the evidence is consistent with an age-related gradient along the long axis of the cingulum, in which frontal parts of the bundle appear most affected (Catheline et al., 2010; Mårtensson et al., 2018; Sibilia et al., 2017; Yoon et al., 2008; see for review Chua et al., 2008).”
- Authors
- Sibilia, F., Kehoe, E. G., Farrell, D., Kerskens, C., O'Neill, D., McNulty, J. P., Mullins, P., & Bokde, A. L. W.
- Affiliations
- Trinity College Dublin (IE)
- Trinity College Institute of Neuroscience, Dublin, Ireland.
- University College Dublin (IE)
- Bangor University (GB)
- Corresponding author
- Sibilia, Francesca
- Venue
- Brain Connectivity
- Publisher
- SAGE Publications
- Published
- 2017-08
- Volume
- 7
- Issue
- 6
- Pages
- 366-372
- ISSN
- 2158-0014 (ISSN-L)
- 2158-0022
- OpenAlex
- W2623655077
- Cited by
- 19
- References
- 1
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 5 · 2018: 2
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- Locations
- Brain Connectivity (publishedVersion)
- PubMed (publishedVersion)
- Bangor University Research Portal (Bangor University) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- cingulum, aging, white matter microstructure, fractional anisotropy, axial diffusivity, radial diffusivity, limbic system, deterministic tractography, constrained spherical deconvolution, older adults
- MeSH terms
- Aged, Aging, Analysis of Variance, Brain, Female, Humans, Male, Neural Pathways, Neuropsychological Tests, Diffusion Magnetic Resonance Imaging, Young Adult, Diffusion Tensor Imaging, White Matter
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
