Evidence map›Paper›PMID 38509925›Full record

ArticleHeliyon2024

Atrophy of hippocampal subfields and amygdala nuclei in subjects with mild cognitive impairment progressing to Alzheimer's disease.

Miriam Punzi, Carlo Sestieri, Eleonora Picerni, Antonio Maria Chiarelli, Caterina Padulo, Andrea Delli Pizzi, Maria Giulia Tullo, Annalisa Tosoni, Alberto Granzotto, Stefania Della Penna and 5 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Review
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  16. Medial Amygdalar Tau Is Associated With Mood Symptoms in Preclinical Alzheimer's Disease.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
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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

15 authors.

Miriam PunziDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Carlo SestieriDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Eleonora PicerniDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Antonio Maria ChiarelliDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Caterina PaduloDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Andrea Delli PizziDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Maria Giulia TulloDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Annalisa TosoniDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Alberto GranzottoDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Stefania Della PennaDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Marco OnofrjDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Antonio FerrettiDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Stefano Delli PizziDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Stefano L SensiDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. D'Annunzio of Chieti-Pescara", Chieti, 66100, Italy.
Alzheimer's Disease Neuroimaging Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hippocampus and amygdala are the first brain regions to show early signs of Alzheimer's Disease (AD) pathology. AD is preceded by a prodromal stage known as Mild Cognitive Impairment (MCI), a crucial crossroad in the clinical progression of the disease. The topographical development of AD has been the subject of extended investigation. However, it is still largely unknown how the transition from MCI to AD affects specific hippocampal and amygdala subregions. The present study is set to answer that question. We analyzed data from 223 subjects: 75 healthy controls, 52 individuals with MCI, and 96 AD patients obtained from the ADNI. The MCI group was further divided into two subgroups depending on whether individuals in the 48 months following the diagnosis either remained stable (N = 21) or progressed to AD (N = 31). A MANCOVA test evaluated group differences in the volume of distinct amygdala and hippocampal subregions obtained from magnetic resonance images. Subsequently, a stepwise linear discriminant analysis (LDA) determined which combination of magnetic resonance imaging parameters was most effective in predicting the conversion from MCI to AD. The predictive performance was assessed through a Receiver Operating Characteristic analysis. AD patients displayed widespread subregional atrophy. MCI individuals who progressed to AD showed selective atrophy of the hippocampal subiculum and tail compared to stable MCI individuals, who were undistinguishable from healthy controls. Converter MCI showed atrophy of the amygdala's accessory basal, central, and cortical nuclei. The LDA identified the hippocampal subiculum and the amygdala's lateral and accessory basal nuclei as significant predictors of MCI conversion to AD. The analysis returned a sensitivity value of 0.78 and a specificity value of 0.62. These findings highlight the importance of targeted assessments of distinct amygdala and hippocampus subregions to help dissect the clinical and pathophysiological development of the MCI to AD transition.

Indexed as

Alzheimer's disease (AD)AmygdalaHippocampusMagnetic resonance imaging (MRI)Mild cognitive impairment (MCI)Subfields

Identifiers

PMID38509925
PMCPMC10951508

What OpenQuestion holds

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Registered trials

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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.