Evidence map›Paper›PMID 37085647›Full record

ArticleExperimental brain research2023

Cortical thickness is related to cognitive-motor automaticity and attention allocation in individuals with Alzheimer's disease: a regions of interest study.

Jason K Longhurst, Karthik R Sreenivasan, Jemma Kim, Jeffrey L Cummings, Samantha E John, Brach Poston, Dietmar Cordes, John V Rider, Merrill R Landers

Abstract read
PubMed Publisher
In one paragraph

Article in Experimental brain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

9 authors at 4 institutions in 1 country.

Jason K LonghurstDepartment of Physical Therapy and Athletic Training, Saint Louis University, 3437 Caroline Mall Suite 1026, Saint Louis, MO, 63104, USA. Jason.longhurst@health.slu.edu.ORCID http://orcid.org/0000-0003-1853-6949
Karthik R SreenivasanCleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.
Jemma KimDepartment of Physical Therapy and Athletic Training, Saint Louis University, 3437 Caroline Mall Suite 1026, Saint Louis, MO, 63104, USA.
Jeffrey L CummingsChambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas, USA.
Samantha E JohnDepartment of Brain Health, University of Nevada, Las Vegas, USA.
Brach PostonDepartment of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, USA.
Dietmar CordesCleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.
John V RiderSchool of Occupational Therapy, Touro University, Henderson, NV, USA.
Merrill R LandersDepartment of Physical Therapy, University of Nevada, Las Vegas, USA.
University of Nevada, Las Vegas · USCleveland Clinic · USSaint Louis University · USTouro University Nevada · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is characterized by a distinct pattern of cortical thinning and resultant changes in cognition and function. These result in prominent deficits in cognitive-motor automaticity. The relationship between AD-related cortical thinning and decreased automaticity is not well-understood. We aimed to investigate the relationship between cortical thickness regions-of-interest (ROI) and automaticity and attention allocation in AD using hypothesis-driven and exploratory approaches. We performed an ROI analysis of 46 patients with AD. Data regarding MR images, demographic characteristics, cognitive-motor dual task performance, and cognition were extracted from medical records. Cortical thickness was calculated from MR T1 images using FreeSurfer. Data from the dual task assessment was used to calculate the combined dual task effect (cDTE), a measure of cognitive-motor automaticity, and the modified attention allocation index (mAAI). Four hierarchical multiple linear regression models were conducted regressing cDTE and mAAI separately on (1) hypothesis-generated ROIs and (2) exploratory ROIs. For cDTE, cortical thicknesses explained 20.5% (p = 0.014) and 25.9% (p = 0.002) variability in automaticity in the hypothesized ROI and exploratory models, respectively. The dorsal lateral prefrontal cortex (DLPFC) (β =  - 0.479, p = 0.018) and superior parietal cortex (SPC) (β = 0.467, p = 0.003), and were predictors of automaticity. For mAAI, cortical thicknesses explained 20.7% (p = 0.025) and 28.3% (p = 0.003) variability in attention allocation in the hypothesized ROI and exploratory models, respectively. Thinning of SPC and fusiform gyrus were associated with motor prioritization (β =  - 0.405, p = 0.013 and β =  - 0.632, p = 0.004, respectively), whereas thinning of the DLPFC was associated with cognitive prioritization (β = 0.523, p = 0.022). Cortical thinning in AD was related to cognitive-motor automaticity and task prioritization, particularly in the DLPFC and SPC. This suggests that these regions may play a primary role in automaticity and attentional strategy during dual-tasking.

Indexed as

Alzheimer DiseaseCadmium CompoundsQuantum DotsAttentionCerebral CortexCerebral Cortical ThinningCognitionHumansMagnetic Resonance ImagingTelluriumCadmium Compoundscadmium tellurideTelluriumAlzheimer’s diseaseAutomaticityCognitive-motor interferenceDual task interferencePrefrontal cortexSuperior parietal cortex

Identifiers

PMID37085647
OpenAlexW4366609535

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.