Evidence map›Paper›PMID 32060334›Full record

ArticleScientific reports2020

Fractional Anisotropy changes in Parahippocampal Cingulum due to Alzheimer's Disease.

Josué Luiz Dalboni da Rocha, Ivanei Bramati, Gabriel Coutinho, Fernanda Tovar Moll, Ranganatha Sitaram

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 62 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Josué Luiz Dalboni da RochaFaculté de psychologie et des sciences de l'éducation, University of Geneva, Geneva, Switzerland. Josue.Dalboni@unige.ch.ORCID http://orcid.org/0000-0001-8939-6395
Ivanei BramatiD'Or Institute for Research and Education, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0001-8721-9053
Gabriel CoutinhoD'Or Institute for Research and Education, Rio de Janeiro, Brazil.
Fernanda Tovar MollD'Or Institute for Research and Education, Rio de Janeiro, Brazil.
Ranganatha SitaramInstitute for Biological and Medical Engineering, Department of Psychiatry, and Section of Neuroscience, Pontificia Universidad Católica de Chile, Santiago, Chile. rasitaram@uc.cl.
D’Or Institute for Research and Education · BRPontificia Universidad Católica de Chile · CLUniversidade Federal do Rio de Janeiro · BRUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current treatments for Alzheimer's disease are only symptomatic and limited to reduce the progression rate of the mental deterioration. Mild Cognitive Impairment, a transitional stage in which the patient is not cognitively normal but do not meet the criteria for specific dementia, is associated with high risk for development of Alzheimer's disease. Thus, non-invasive techniques to predict the individual's risk to develop Alzheimer's disease can be very helpful, considering the possibility of early treatment. Diffusion Tensor Imaging, as an indicator of cerebral white matter integrity, may detect and track earlier evidence of white matter abnormalities in patients developing Alzheimer's disease. Here we performed a voxel-based analysis of fractional anisotropy in three classes of subjects: Alzheimer's disease patients, Mild Cognitive Impairment patients, and healthy controls. We performed Support Vector Machine classification between the three groups, using Fisher Score feature selection and Leave-one-out cross-validation. Bilateral intersection of hippocampal cingulum and parahippocampal gyrus (referred as parahippocampal cingulum) is the region that best discriminates Alzheimer's disease fractional anisotropy values, resulting in an accuracy of 93% for discriminating between Alzheimer's disease and controls, and 90% between Alzheimer's disease and Mild Cognitive Impairment. These results suggest that pattern classification of Diffusion Tensor Imaging can help diagnosis of Alzheimer's disease, specially when focusing on the parahippocampal cingulum.

Indexed as

AgedAlzheimer DiseaseAnisotropyCase-Control StudiesFemaleHippocampusHumansMaleOrgan SpecificitySupport Vector Machine

Identifiers

PMID32060334
PMCPMC7021702
OpenAlexW3005550859

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.