The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A critical discussion of the role of neuroimaging in mild cognitive impairment*: Neuroimaging in MCI
Abstract
OBJECTIVE: In this paper, the current neuroimaging literature is reviewed with regard to characteristic findings in mild cognitive impairment (MCI). Particular attention is drawn to the possible value of neuroimaging modalities in the prediction and early diagnosis of Alzheimer's disease (AD). METHODS: First, the potential contribution of neuroimaging to an early, preclinical diagnosis of degenerative disorders is discussed at the background of our knowledge about the pathogenesis of AD. Second, relevant neuroimaging studies focusing on MCI are explored and summarized. Neuroimaging studies were found through Medline search and by systematically checking through the bibliographies of relevant articles. RESULTS: Structural volumetric magnetic resonance imaging (MRI) and positron emission tomography (PET)/single photon emission tomography (SPECT) are currently the most commonly used neuroimaging modalities in studies focusing on MCI. There were considerable variations in demographical and clinical characteristics across studies. However, significant hippocampal and entorhinal cortex volume reductions were consistently found in subjects with MCI as compared with cognitively unimpaired controls. While hippocampal and entorhinal cortex atrophy in subjects with MCI are also well-established risk factors for the development of AD, these measures cannot be regarded as being of high predictive value in an individual case. Evidence for other typical neuroimaging changes in MCI is still scarce. In PET and SPECT studies, reduced blood flow and/or glucose metabolism in temporoparietal association areas, posterior cingulate and hippocampus were associated with a higher risk of progressive cognitive decline in MCI. In quantitative electroencephalogram (QEEG), low beta, high theta, low alpha and slowed mean frequency were associated with development of dementia. CONCLUSIONS: Existing studies suggest that neuroimaging measures have the potential to become valuable tools in the early diagnosis of AD. To establish their value in routine use, larger studies, preferably with long prospective follow-up are needed.
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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Roth, M., Tym, E., Mountjoy, C. Q., Huppert, F. A., Hendrie, H., Verma, S., & Goddard, R. (1986) · British Journal of Psychiatry · doi:10.1192/bjp.149.6.698 · Cited by 2,090
Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease
Minoshima, S., Giordani, B., Berent, S., Frey, K. A., Foster, N. L., & Kuhl, D. E. (1997) · Annals of Neurology · doi:10.1002/ana.410420114 · Cited by 1,802
Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796 · cited 1×
“Neuron loss in AD predilection areas was reported to be as high as 87% in subregions of the hippocampus (16) and up to 60% in the entorhinal cortex (17), even in early disease stages.”
BackgroundKnopman, D. S., DeKosky, S. T., Cummings, J. L., Chui, H., Corey–Bloom, J., Relkin, N., Small, G. W., Miller, B., & Stevens, J. C. (2001) · Neurology · doi:10.1212/wnl.56.9.1143 · Cited by 1,410
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Reiman, E. M., Caselli, R. J., Yun, L. S., Chen, K., Bandy, D., Minoshima, S., Thibodeau, S. N., & Osborne, D. (1996) · New England Journal of Medicine · doi:10.1056/nejm199603213341202 · Cited by 1,366
Katzman, R., Terry, R., DeTeresa, R., Brown, T., Davies, P., Fuld, P., Renbing, X., & Peck, A. (1988) · Annals of Neurology · doi:10.1002/ana.410230206 · Cited by 1,225 · cited 1×
“In addition to constitutional reserve markers, such as genetic factors, age and brain volume (20), co-occurrant pathological conditions, primarily cerebrovascular lesions (21), may alter the individual reserve capacity.”
BackgroundMedial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y. C., Waring, S. C., O'Brien, P. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., & Kokmen, E. (1997) · Neurology · doi:10.1212/wnl.49.3.786 · Cited by 1,128
Cited by
CSF markers for incipient Alzheimer's disease
Blennow, K., & Hampel, H. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00530-1 · Cited by 1,291
Hippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment
Scheff, S. W., Price, D. A., Schmitt, F. A., & Mufson, E. J. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.012 · Cited by 1,017
Johnson, N. A., Jahng, G.-H., Weiner, M. W., Miller, B. L., Chui, H. C., Jagust, W. J., Gorno-Tempini, M. L., & Schuff, N. (2005) · Radiology · doi:10.1148/radiol.2343040197 · Cited by 587
Cognitive reserve and the neurobiology of cognitive aging
Whalley, L. J., Deary, I. J., Appleton, C. L., & Starr, J. M. (2004) · Ageing Research Reviews · doi:10.1016/j.arr.2004.05.001 · Cited by 460
Variation in neural development as a result of exposure to institutionalization early in childhood
Sheridan, M. A., Fox, N. A., Zeanah, C. H., McLaughlin, K. A., & Nelson, C. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1200041109 · Cited by 432
Metadata
- Authors
- Wolf, H., Jelic, V., Gertz, H.-J., Nordberg, A., Julin, P., & Wahlund, L.-O.
- Venue
- Acta Neurologica Scandinavica
- Publisher
- Wiley
- Published
- 2003-02
- Volume
- 107
- Pages
- 52-76
- ISSN
- 0001-6314 (ISSN-L)
- OpenAlex
- W2016158653
- Cited by
- 213
- References
- 22
- FWCI
- 13.24
- Type
- journal article
- Language
- en
- Open access
- closed
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: A critical discussion of the role of neuroimaging in mild cognitive impairment*: Neuroimaging in MCI. https://app.cochat.ai/papers/10.1034/j.1600-0404.107.s179.10.x
- The paper
- Wolf, H., Jelic, V., Gertz, H.-J., Nordberg, A., Julin, P., & Wahlund, L.-O. (2003). A critical discussion of the role of neuroimaging in mild cognitive impairment*: Neuroimaging in MCI. Acta Neurologica Scandinavica. https://doi.org/10.1034/j.1600-0404.107.s179.10.x
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.