Evidence map›Paper›PMID 38826333›Full record

ArticlebioRxiv : the preprint server for biology2024

Medial temporal lobe atrophy patterns in early- versus late-onset amnestic Alzheimer's disease.

Anika Wuestefeld, Alexa Pichet Binette, Danielle van Westen, Olof Strandberg, Erik Stomrud, Niklas Mattsson-Carlgren, Shorena Janelidze, Ruben Smith, Sebastian Palmqvist, Hannah Baumeister and 5 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Anika WuestefeldClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0003-1779-3388
Alexa Pichet BinetteClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0001-5218-3337
Danielle van WestenDepartment of Diagnostic Radiology, Clinical Sciences, Lund University, 22242 Lund, Sweden.ORCID 0000-0001-8649-9874
Olof StrandbergClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.
Erik StomrudClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0002-0841-5580
Niklas Mattsson-CarlgrenClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0002-8885-7724
Shorena JanelidzeClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0003-2869-8378
Ruben SmithClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0001-7147-0112
Sebastian PalmqvistClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0002-9267-1930
Hannah BaumeisterGerman Center for Neurodegenerative Diseases (DZNE), 39120 Magdeburg, Germany.ORCID 0000-0001-5503-6308
David BerronClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0003-1558-1883
Paul A YushkevichPenn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia 19104, USA.ORCID 0000-0001-8543-4016
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0001-8467-7286
Nicola SpotornoClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, 22242 Lund, Sweden.ORCID 0000-0001-5404-8788
Laura Em WisseDepartment of Diagnostic Radiology, Clinical Sciences, Lund University, 22242 Lund, Sweden.ORCID 0000-0001-7504-3943

Funding

A harmonized medial temporal lobe subregion segmentation protocol: an essential element for dementia researchR01AG070592 · NIA · WAYNE STATE UNIVERSITY · PI Ana Marie Daugherty, Rosanna Kathleen Olsen · 2022 to 2026
$3.5M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsRF1AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2023 to 2023
$2.1M
Improving the sensitivity and specificity of MRI-based biomarkers in Alzheimer's diseaseR01AG069474 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A, YUSHKEVICH, PAUL A. · 2024 to 2025
$1.4M
NIA NIH HHS R01 AG069474NIA NIH HHS R01 AG070592NIA NIH HHS RF1 AG056014
6 · The paper itself

Abstract

Background: The medial temporal lobe (MTL) is hypothesized to be relatively spared in early-onset Alzheimer's disease (EOAD). Yet, detailed examination of MTL subfield volumes and drivers of atrophy in amnestic EOAD is lacking. Methods: BioFINDER-2 participants with memory impairment, abnormal amyloid-β status and tau-PET were included. Forty-one EOAD individuals aged ≤65 years and, as comparison, late-onset AD (LOAD, ≥70 years, n=154) and Aβ-negative cognitively unimpaired controls were included. MTL subregions and biomarkers of (co-)pathologies were measured. Results: AD groups showed smaller MTL subregions compared to controls. Atrophy patterns were similar across AD groups, although LOAD showed thinner entorhinal cortices compared to EOAD. EOAD showed lower WMH compared to LOAD. No differences in MTL tau-PET or transactive response DNA binding protein 43-proxy positivity was found. Conclusions: We found in vivo evidence for MTL atrophy in amnestic EOAD and overall similar levels to LOAD of MTL tau pathology and co-pathologies.

Indexed as

agingamnestic ADamygdala segmentation protocolamyloid-betaearly-onsetin vivolate-onsetmedial temporal lobe subregionsMRItau-PET imagingTPD-43

Identifiers

PMID38826333
PMCPMC11142072

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.