Evidence map›Paper›PMID 40069154›Full record

ArticleNature communications2025

Dopaminergic modulation and dosage effects on brain state dynamics and working memory component processes in Parkinson's disease.

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

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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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.

Byeongwook Lee *Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. bwlee89@stanford.edu.ORCID http://orcid.org/0000-0002-9732-5295
Christina B Young *Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9535-2137
Weidong CaiDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9581-7774
Rui YuanDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Sephira RymanDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Jeehyun KimDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Laurice YangDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Victor W HendersonDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1198-9240
Kathleen L PostonDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-3424-7143
Vinod MenonDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. menon@stanford.edu.ORCID http://orcid.org/0000-0003-1622-9857

Funding

Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI Victor Henderson · 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
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
Regional tau deposition and digital assessment of cognition in preclinical AD and MCIK99AG071837 · NIA · STANFORD UNIVERSITY · PI YOUNG, CHRISTINA B · 2022 to 2023
$256k
NIA NIH HHS K99 AG071837NIA 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

Parkinson's disease (PD) is primarily diagnosed through its characteristic motor deficits, yet it also encompasses progressive cognitive impairments that profoundly affect quality of life. While dopaminergic medications are routinely prescribed to manage motor symptoms in PD, their influence extends to cognitive functions as well. Here we investigate how dopaminergic medication influences aberrant brain circuit dynamics associated with encoding, maintenance and retrieval working memory (WM) task-phases processes. PD participants, both on and off dopaminergic medication, and healthy controls, performed a Sternberg WM task during fMRI scanning. We employ a Bayesian state-space computational model to delineate brain state dynamics related to different task phases. Importantly, a within-subject design allows us to examine individual differences in the effects of dopaminergic medication on brain circuit dynamics and task performance. We find that dopaminergic medication alters connectivity within prefrontal-basal ganglia-thalamic circuits, with changes correlating with enhanced task performance. Dopaminergic medication also restores engagement of task-phase-specific brain states, enhancing task performance. Critically, we identify an "inverted-U-shaped" relationship between medication dosage, brain state dynamics, and task performance. Our study provides valuable insights into the dynamic neural mechanisms underlying individual differences in dopamine treatment response in PD, paving the way for more personalized therapeutic strategies.

Indexed as

BrainDopamine AgentsMemory, Short-TermParkinson DiseaseAgedBasal GangliaBayes TheoremDopamineFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPrefrontal CortexThalamusDopamineDopamine Agents

Identifiers

PMID40069154
PMCPMC11897313

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.