Evidence map›Paper›PMID 34627994›Full record

ArticleProgress in neurobiology2022

Latent brain state dynamics and cognitive flexibility in older adults.

Byeongwook Lee, Weidong Cai, Christina B Young, Rui Yuan, Sephira Ryman, Jeehyun Kim, Veronica Santini, Victor W Henderson, Kathleen L Poston, Vinod Menon

Open access · greenAbstract read
In one paragraph

Article in Progress in neurobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 33 citations in OpenAlex.

  1. Bayesian dynamical system analysis of the effects of methylphenidate in children with attention-deficit/hyperactivity disorder: a randomized trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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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

10 authors at 3 institutions in 1 country.

Byeongwook LeeDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, United States. Electronic address: bwlee89@stanford.edu.
Weidong CaiDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, United States.
Christina B YoungDepartment of Neurology & Neurological Sciences, Stanford University, Stanford, CA, 94305, United States.
Rui YuanDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, United States.
Sephira RymanDepartment of Neurology & Neurological Sciences, Stanford University, Stanford, CA, 94305, United States.
Jeehyun KimDepartment of Neurology & Neurological Sciences, Stanford University, Stanford, CA, 94305, United States.
Veronica SantiniDepartment of Neurology & Neurological Sciences, Stanford University, Stanford, CA, 94305, United States.
Victor W HendersonDepartment of Neurology & Neurological Sciences, Stanford University, Stanford, CA, 94305, United States; Department of Epidemiology & Population Health, Stanford University, Stanford, CA, 94305, United States.
Kathleen L PostonDepartment of Neurology & Neurological Sciences, Stanford University, Stanford, CA, 94305, United States; Department of Neurosurgery, Stanford University, Stanford, CA, 94305, United States; Stanford Neurosciences Institute, Stanford University, Stanford, CA, 94305, United States.
Vinod MenonDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305, United States; Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, 94305, United States; Stanford Neurosciences Institute, Stanford University, Stanford, CA, 94305, United States. Electronic address: menon@stanford.edu.
Stanford University · USNeurosciences Institute · USStanford Health Care · US

Funding

Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI Jennifer Kaci Fairchild · 2020 to 2026
$29.0M
Working Memory in Parkinson Disease: A Cognitive & Systems Neuroscience ApproachP50AG047366 · NIA · STANFORD UNIVERSITY · PI HENDERSON, VICTOR · 2015 to 2019
$7.9M
Stanford Medicine Center for Longevity and Healthy Aging Research Education CoreP30AG059307 · NIA · STANFORD UNIVERSITY · PI ZOU, JAMES · 2018 to 2025
$4.9M
Integrative computational models of latent behavioral and neural constructs in children: a longitudinal developmental big-data approachR01MH121069 · NIMH · STANFORD UNIVERSITY · PI MENON, VINOD · 2019 to 2023
$3.9M
Methods for Dynamic Causal Interactions in Human Brain Function and DysfunctionR01NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2014 to 2025
$3.9M
Computational modeling of dynamic causal brain circuits underlying cognitive dysfunction in Alzheimer's diseaseRF1NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2021 to 2021
$2.0M
Novel Bayesian linear dynamical systems-based methods for discovering human brain circuit dynamics in health and diseaseR01EB022907 · NIBIB · STANFORD UNIVERSITY · PI MENON, VINOD · 2016 to 2018
$1.6M
NIA NIH HHS P30 AG059307NIA NIH HHS P30 AG066515NIA NIH HHS P50 AG047366NIBIB NIH HHS R01 EB022907NIMH NIH HHS R01 MH121069NINDS NIH HHS R01 NS086085NINDS NIH HHS RF1 NS086085
6 · The paper itself

Abstract

Cognitive impairment in older adults is a rapidly growing public health concern as the elderly population dramatically grows worldwide. While it is generally assumed that cognitive deficits in older adults are associated with reduced brain flexibility, quantitative evidence has been lacking. Here, we investigate brain flexibility in healthy older adults (ages 60-85) using a novel Bayesian switching dynamical system algorithm and ultrafast temporal resolution (TR = 490 ms) whole-brain fMRI data during performance of a Sternberg working memory task. We identify latent brain states and characterize their dynamic temporal properties, including state transitions, associated with encoding, maintenance, and retrieval. Crucially, we demonstrate that brain inflexibility is associated with slower and more fragmented transitions between latent brain states, and that brain inflexibility mediates the relation between age and cognitive inflexibility. Our study provides a novel neurocomputational framework for investigating latent dynamic circuit processes underlying brain flexibility and cognition in the context of aging.

Indexed as

BrainCognitionAgedAged, 80 and overAgingBayes TheoremHumansMagnetic Resonance ImagingMemory, Short-TermMiddle AgedBayesian modelsCognitive agingCognitive flexibilityLatent brain state dynamicsMediationSternberg working memory task

Identifiers

PMID34627994
PMCPMC9585912
OpenAlexW3205550483

What OpenQuestion holds

Textmetadata
LicenceTDM
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.