Evidence map›Paper›PMID 36186727›Full record

ArticleJournal of Alzheimer's disease reports2022

Temporal Cortical Thickness and Cognitive Associations among Typical and Atypical Phenotypes of Alzheimer's Disease.

Alissa M Butts, Mary M Machulda, Peter Martin, Scott A Przybelski, Joseph R Duffy, Jonathan Graff-Radford, David S Knopman, Ronald C Petersen, Clifford R Jack, Val J Lowe and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of Alzheimer's disease reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
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

12 authors at 4 institutions in 1 country.

Alissa M ButtsDepartment of Neurology, Division of Neuropsychology, Medical College of Wisconsin, Milwaukee, WI, USA.
Mary M MachuldaDepartment of Psychiatry and Psychology, Division of Neuropsychology, Mayo Clinic, Rochester, MN, USA.
Peter MartinDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Scott A PrzybelskiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Joseph R DuffyDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Val J LoweDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Keith A JosephsDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Jennifer L WhitwellDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · USMayo Clinic in Florida · USMayo Clinic · USMedical College of Wisconsin · US

Funding

Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI Walter K. Kremers · 2019 to 2026
$33.5M
PREDICTING ALZHEIMERS DISEASE WITH MAGNETIC RESONANCER01AG011378 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R. · 1993 to 2017
$12.1M
Molecular and structural imaging in atypical Alzheimer's disease: a longitudinal studyR01AG050603 · NIA · MAYO CLINIC ROCHESTER · PI WHITWELL, JENNIFER LOUISE · 2016 to 2025
$5.9M
PIB PET Scanning in Speech and Language Based DementiasR01DC010367 · NIDCD · MAYO CLINIC ROCHESTER · PI JOSEPHS, KEITH A · 2010 to 2014
$1.7M
NIA NIH HHS P30 AG062677NIA NIH HHS R01 AG011378NIA NIH HHS R01 AG050603NIDCD NIH HHS R01 DC010367
6 · The paper itself

Abstract

Background: The hippocampus and temporal lobe are atrophic in typical amnestic Alzheimer's disease (tAD) and are used as imaging biomarkers in treatment trials. However, a better understanding of how temporal structures differ across atypical AD phenotypes and relate to cognition is needed. Objective: Our goal was to compare temporal lobe regions between tAD and two atypical AD phenotypes (logopenic progressive aphasia (LPA) and posterior cortical atrophy (PCA)), and assess cognitive associations. Methods: We age and gender-matched 77 tAD participants to 50 LPA and 27 PCA participants, all of which were amyloid-positive. We used linear mixed-effects models to compare FreeSurfer-derived hippocampal volumes and cortical thickness of entorhinal, inferior and middle temporal, and fusiform gyri, and to assess relationships between imaging and memory, naming, and visuospatial function across and within AD phenotype. Results: Hippocampal volume and entorhinal thickness were smaller bilaterally in tAD than LPA and PCA. PCA showed greater right inferior temporal and bilateral fusiform thinning and LPA showed greater left middle and inferior temporal and left fusiform thinning. Atypical AD phenotypes differed with greater right hemisphere thinning in PCA and greater left hemisphere thinning in LPA. Verbal and visual memory related most strongly to hippocampal volume; naming related to left temporal thickness; and visuospatial related to bilateral fusiform thickness. Fewer associations remained when examined within AD group. Conclusion: Atypical AD phenotypes are associated with greater thinning of lateral temporal structures, with relative sparing of medial temporal lobe, compared to tAD. These findings may have implications for future clinical trials in AD.

Indexed as

Alzheimer’s diseaseatypical Alzheimer’s diseasecortical thicknesshippocampal volumeslogopenic progressive aphasiamemoryneuropsychological functioningobject namingposterior cortical atrophyvisual spatial

Identifiers

PMID36186727
PMCPMC9484150
OpenAlexW4288715275

What OpenQuestion holds

Textmetadata
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.