Evidence map›Paper›PMID 38975207›Full record

ArticleHeliyon2024

Cortical neurite microstructural correlates of time perception in healthy older adults.

Trudy Kim, Ali Rahimpour Jounghani, Elveda Gozdas, S M Hadi Hosseini

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  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

4 authors.

Trudy KimC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 1520 Page Mill Rd., Stanford, CA, 94304-5795, United States.
Ali Rahimpour JounghaniC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 1520 Page Mill Rd., Stanford, CA, 94304-5795, United States.
Elveda GozdasC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 1520 Page Mill Rd., Stanford, CA, 94304-5795, United States.
S M Hadi HosseiniC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 1520 Page Mill Rd., Stanford, CA, 94304-5795, United States.

Funding

Microstructural changes in gray and white matter in aging and ADR01AG073362 · NIA · STANFORD UNIVERSITY · PI Hadi Hosseini · 2022 to 2026
$3.7M
Interactive Effects of Aging and AD on Brain NetworksR01AG072470 · NIA · STANFORD UNIVERSITY · PI Hadi Hosseini · 2022 to 2026
$2.9M
A Novel Neuromonitoring Guided Cognitive Intervention for Targeted Enhancement of Working MemoryR61MH119289 · NIMH · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2021
$787k
The influence of multi-domain cognitive training on large-scale structural and functional brain networks in MCIK25AG050759 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2016 to 2020
$739k
A Wearable Optical Imaging System for Daily Monitoring of Prefrontal Activity in ADHDR21MH123873 · NIMH · STANFORD UNIVERSITY · PI BOWDEN, AUDREY KYNSELLA, HOSSEINI, HADI · 2020 to 2020
$443k
Development of a cost-effective and neurobiologically valid VR assessment tool for early detection of ADR21AG073973 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2021 to 2022
$433k
Multi-dimensional network framework for AD detection and progressionR21AG064263 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2020
$430k
NIA NIH HHS K25 AG050759NIA NIH HHS R01 AG072470NIA NIH HHS R01 AG073362NIA NIH HHS R21 AG064263NIA NIH HHS R21 AG073973NIMH NIH HHS R21 MH123873NIMH NIH HHS R61 MH119289
6 · The paper itself

Abstract

The human experience is significantly impacted by timing as it structures how information is processed. Nevertheless, the neurological foundation of time perception remains largely unresolved. Understanding cortical microstructure related to timing is crucial for gaining insight into healthy aging and recognizing structural alterations that are typical of neurodegenerative diseases associated with age. Given the importance, this study aimed to determine the brain regions that are accountable for predicting time perception in older adults using microstructural measures of the brain. In this study, elderly healthy adults performed the Time-Wall Estimation task to measure time perception through average error time. We used support vector regression (SVR) analyses to predict the average error time using cortical neurite microstructures derived from orientation dispersion and density imaging based on multi-shell diffusion magnetic resonance imaging (dMRI). We found significant correlations between observed and predicted average error times for neurite arborization (ODI) and free water (FISO). Neurite arborization and free water properties in specific regions in the medial and lateral prefrontal, superior parietal, and medial and lateral temporal lobes were among the most significant predictors of timing ability in older adults. Further, our results revealed that greater branching along with lower free water in cortical structures result in shorter average error times. Future studies should assess whether these same networks are contributing to time perception in older adults with mild cognitive impairment (MCI) and whether degeneration of these networks contribute to early diagnosis or detection of dementia.

Indexed as

Cortical microstructurefMRINODDISVRTime perceptionTimeWall

Identifiers

PMID38975207
PMCPMC11225759

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.