Evidence map›Paper›PMID 34751892›Full record

ArticleBrain imaging and behavior2022

Brain-behavior investigation of potential cognitive markers of Alzheimer's disease in middle age: a multi-modal imaging study.

Laura E Korthauer, Jenna K Blujus, Elizabeth Awe, Marijam Frahmand, Robert Prost, Ira Driscoll

Open access · greenAbstract read
In one paragraph

Article in Brain imaging and behavior, 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
0.2field-weighted citation impact, top 49% 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, 2 citations in OpenAlex.

  1. Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

6 authors at 3 institutions in 1 country.

Laura E KorthauerDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID http://orcid.org/0000-0002-6392-4898
Jenna K BlujusDepartment of Psychology, University of Wisconsin-Milwaukee, 2441 E. Hartford Ave., Milwaukee, WI, 53212, USA.
Elizabeth AweDepartment of Psychology, University of Wisconsin-Milwaukee, 2441 E. Hartford Ave., Milwaukee, WI, 53212, USA.
Marijam FrahmandDepartment of Psychology, University of Wisconsin-Milwaukee, 2441 E. Hartford Ave., Milwaukee, WI, 53212, USA.
Robert ProstDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Ira DriscollDepartment of Psychology, University of Wisconsin-Milwaukee, 2441 E. Hartford Ave., Milwaukee, WI, 53212, USA. driscoli@uwm.edu.
University of Wisconsin–Milwaukee · USMedical College of Wisconsin · USBrown University · US

Funding

The aging brain: Imaging genetics of brain structure and functionR00AG032361 · NIA · UNIVERSITY OF WISCONSIN MILWAUKEE · PI FRAHMAND, IRA · 2011 to 2013
$719k
Brain network connectivity and genetic risk for Alzheimer's diseaseF31AG050407 · NIA · UNIVERSITY OF WISCONSIN MILWAUKEE · PI KORTHAUER, LAURA · 2016 to 2016
$41k
NIA NIH HHS F31 AG050407NIA NIH HHS F31-AG050407NIA NIH HHS R00 AG032361NIA NIH HHS R00-AG032361
6 · The paper itself

Abstract

Early detection of Alzheimer's disease remains a challenge, and the development and validation of novel cognitive markers of Alzheimer's disease is critical to earlier disease detection. The goal of the present study is to examine brain-behavior relationships of translational cognitive paradigms dependent on the medial temporal lobes and prefrontal cortices, regions that are first to undergo Alzheimer's-associated changes. We employed multi-modal structural and functional MRI to examine brain-behavior relationships in a healthy, middle-aged sample (N = 133; 40-60 years). Participants completed two medial temporal lobe-dependent tasks (virtual Morris Water Task and Transverse Patterning Discriminations Task), and a prefrontal cortex-dependent task (Reversal Learning Task). No associations were found between various MRI measures of brain integrity and the Transverse Patterning or Reversal Learning tasks (p's > .05). We report associations between virtual Morris Water Task performance and medial temporal lobe volume, hippocampal microstructural organization, fornix integrity, and functional connectivity within the executive control and frontoparietal control resting state networks (all p's < 0.05; did not survive correction for multiple comparisons). This study suggests that virtual Morris Water Task performance is associated with medial temporal lobe integrity in middle age, a critical window for detection and prevention of Alzheimer's disease, and may be useful as an early cognitive marker of Alzheimer's disease risk.

Indexed as

Alzheimer DiseaseCognitive DysfunctionBrainCognitionHumansMagnetic Resonance ImagingMiddle AgedMultimodal ImagingWaterWaterMagnetic resonance imagingMiddle ageReversal learningTransverse patterningVirtual Morris water task

Identifiers

PMID34751892
PMCPMC10442137
OpenAlexW3213639130

What OpenQuestion holds

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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.