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Analysis of institutional authors

Platero, CCorresponding AuthorStrange, BAuthor

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Estimating Dementia Onset: AT(N) Profiles and Predictive Modeling in Mild Cognitive Impairment Patients

Publicated to:Current Alzheimer Research. 20 (11): 778-790 - 2024-02-28 20(11), DOI: 10.2174/0115672050295317240223162312

Authors: Platero, C; Tohka, J; Strange, B

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Abstract

Background Mild Cognitive Impairment (MCI) usually precedes the symptomatic phase of dementia and constitutes a window of opportunities for preventive therapies.Objectives The objective of this study was to predict the time an MCI patient has left to reach dementia and obtain the most likely natural history in the progression of MCI towards dementia.Methods This study was conducted on 633 MCI patients and 145 subjects with dementia through 4726 visits over 15 years from Alzheimer Disease Neuroimaging Initiative (ADNI) cohort. A combination of data from AT(N) profiles at baseline and longitudinal predictive modeling was applied. A data-driven approach was proposed for categorical diagnosis prediction and timeline estimation of cognitive decline progression, which combined supervised and unsupervised learning techniques.Results A reduced vector of only neuropsychological measures was selected for training the models. At baseline, this approach had high performance in detecting subjects at high risk of converting from MCI to dementia in the coming years. Furthermore, a Disease Progression Model (DPM) was built and also verified using three metrics. As a result of the DPM focused on the studied population, it was inferred that amyloid pathology (A+) appears about 7 years before dementia, and tau pathology (T+) and neurodegeneration (N+) occur almost simultaneously, between 3 and 4 years before dementia. In addition, MCI-A+ subjects were shown to progress more rapidly to dementia compared to MCI-A- subjects.Conclusion Based on proposed natural histories and cross-sectional and longitudinal analysis of AD markers, the results indicated that only a single cerebrospinal fluid sample is necessary during the prodromal phase of AD. Prediction from MCI into dementia and its timeline can be achieved exclusively through neuropsychological measures.

Keywords

AgedAged, 80 and overAlzheimer's diseaseAlzheimers-diseaseAlzheimer’s diseaseAssociationAt(n) biomarkersBiomarkerCognitive dysfunctionCohort studiesConversionDeclineDefinitionDementiaDementia.DiagnosisDisease progressionDisease progression modelingDisease progression modeling.FemaleHumansLongitudinal studiesMaleMciMild cognitive impairmentNeuroimagingNeuropsychological testsPredictive modelsProgressionTau

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Current Alzheimer Research, and although the journal is classified in the quartile Q3 (Agencia WoS (JCR)), its regional focus and specialization in Neurosciences, give it significant recognition in a specific niche of scientific knowledge at an international level.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-04:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 13.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 10 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 22.

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Finland.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (PLATERO DUEÑAS, CARLOS) and Last Author (STRANGE, BRYAN).

the author responsible for correspondence tasks has been PLATERO DUEÑAS, CARLOS.