The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Functional connectivity tracks clinical deterioration in Alzheimer's disease
Open accessAbstract
While resting state functional connectivity has been shown to decrease in patients with mild/moderate Alzheimer’s disease, it is not yet known how functional connectivity changes in patients as the disease progresses. Furthermore, it has been noted that the default mode network is not as homogenous as previously assumed and several fractionations of the network have been proposed. Here, we separately investigated the modulation of three default mode sub-networks, as identified with group ICA, by comparing Alzheimer’s disease patients to healthy controls and by assessing connectivity changes over time. Our results showed decreased connectivity at baseline in patients versus controls in the posterior default mode network, and increased connectivity in the anterior and ventral default mode networks. At follow-up, functional connectivity decreased across all default mode systems in patients. Our results suggest that earlier in the disease, regions of the posterior default mode network start to disengage whereas regions within the anterior and ventral networks enhance their connectivity. However, as the disease progresses connectivity within all systems eventually deteriorates.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 1×
“The histological studies by Braak and Braak show that the pathology in Alzheimer's disease takes place in several stages, affecting the medial temporal lobe first followed by posterolateral cortical regions and moving in the latest stages into the frontal cortex (Braak and Braak, 1991).”
BackgroundAdvances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Zhang, Y., Brady, M., & Smith, S. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 6,982
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Cited by
Salience Network–Based Classification and Prediction of Symptom Severity in Children With Autism
Uddin, L. Q., Supekar, K., Lynch, C. J., Khouzam, A., Phillips, J., Feinstein, C., Ryali, S., & Menon, V. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.104 · Cited by 621
Resting-state functional connectivity in normal brain aging
Ferreira, L. K., & Busatto, G. F. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.017 · Cited by 593
Functional brain connectivity using fMRI in aging and Alzheimer’s disease
Dennis, E. L., & Thompson, P. M. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9249-6 · Cited by 583
The road to restoring neural circuits for the treatment of Alzheimer's disease
Canter, R. G., Penney, J., & Tsai, L.-H. (2016) · Nature · doi:10.1038/nature20412 · Cited by 565
Resting‐state network dysfunction in Alzheimer's disease: A systematic review and meta‐analysis
Badhwar, A., Tam, A., Dansereau, C., Orban, P., Hoffstaedter, F., & Bellec, P. (2017) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.03.007 · Cited by 438
Metadata
- Authors
- Damoiseaux, J. S., Prater, K. E., Miller, B. L., & Greicius, M. D.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2012-04
- Volume
- 33
- Issue
- 4
- Pages
- 828.e19-828.e30
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2042557239
- Cited by
- 506
- References
- 49
- FWCI
- 14.62
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Functional connectivity tracks clinical deterioration in Alzheimer's disease. https://app.cochat.ai/papers/10.1016/j.neurobiolaging.2011.06.024
- The paper
- Damoiseaux, J. S., Prater, K. E., Miller, B. L., & Greicius, M. D. (2012). Functional connectivity tracks clinical deterioration in Alzheimer's disease. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2011.06.024
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
