Evidence map›Paper›PMID 29501966›Full record

ArticleNeurobiology of aging2018

Levodopa improves response inhibition and enhances striatal activation in early-stage Parkinson's disease.

Peter Manza, Guy Schwartz, Mala Masson, Sarah Kann, Nora D Volkow, Chiang-Shan R Li, Hoi-Chung Leung

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2018. 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
2.7field-weighted citation impact, top 11% 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, 34 citations in OpenAlex.

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  15. Frontiers in neuroscience · 2020
    Article
  16. Vinpocetine regulates levels of circulating TLRs in Parkinson's disease patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    Article
  17. 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

7 authors at 5 institutions in 2 countries.

Peter ManzaDepartment of Psychology, Integrative Neuroscience Program, Stony Brook University, Stony Brook, NY, USA. Electronic address: peter.manza@nih.gov.
Guy SchwartzDepartment of Neurology, Stony Brook University, Stony Brook, NY, USA.
Mala MassonDepartment of Psychology, Integrative Neuroscience Program, Stony Brook University, Stony Brook, NY, USA.
Sarah KannDepartment of Psychology, Integrative Neuroscience Program, Stony Brook University, Stony Brook, NY, USA.
Nora D VolkowNational Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, MD, USA; National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.
Chiang-Shan R LiDepartment of Psychiatry, Yale University, New Haven, CT, USA; Department of Neuroscience, Yale University, New Haven, CT, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA; Beijing Huilongguan Hospital, Beijing, China.
Hoi-Chung LeungDepartment of Psychology, Integrative Neuroscience Program, Stony Brook University, Stony Brook, NY, USA. Electronic address: hoi-chung.leung@stonybrook.edu.
Stony Brook University · USNational Institutes of Health · USStony Brook Medicine · USStony Brook School · USYale New Haven Hospital · US

Funding

Neurobiology of Substance Abuse and AddictionZIAAA000550 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI VOLKOW, NORA D. · 2009 to 2025
$115.1M
Cognitive control and cocaine dependence: thalamic noradrenergic processesR01DA023248 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2008 to 2018
$4.0M
Imaging the monoaminergic midbrain and cognitive control in cocaine addictionR21DA044749 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2018 to 2019
$704k
Aging and cerebral regulation of physiological responses to social emotionsR21MH113134 · NIMH · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2017 to 2018
$397k
Intramural NIH HHS Z99 AA999999NIDA NIH HHS R01 DA023248NIDA NIH HHS R21 DA044749NIMH NIH HHS R21 MH113134
6 · The paper itself

Abstract

Dopaminergic medications improve the motor symptoms of Parkinson's disease (PD), but their effect on response inhibition, a critical executive function, remains unclear. Previous studies primarily enrolled patients in more advanced stages of PD, when dopaminergic medication loses efficacy, and patients were typically on multiple medications. Here, we recruited 21 patients in early-stage PD on levodopa monotherapy and 37 age-matched controls to perform the stop-signal task during functional magnetic resonance imaging. In contrast to previous studies reporting null effects in more advanced PD, levodopa significantly improved response inhibition performance in our sample. No significant group differences were found in brain activations to pure motor inhibition or error processing (stop success vs. error trials). However, relative to controls, the PD group showed weaker striatal activations to salient events (infrequent vs. frequent events: stop vs. go trials) and fronto-striatal task-residual functional connectivity; both were restored with levodopa. Thus, levodopa appears to improve an important executive function in early-stage PD via enhanced salient signal processing, shedding new light on the role of dopaminergic signaling in response inhibition.

Indexed as

Inhibition, PsychologicalAgedCorpus StriatumDopamineDopamine AgentsExecutive FunctionFemaleHumansLevodopaMagnetic Resonance ImagingMaleMiddle AgedParkinson DiseaseSeverity of Illness IndexSignal TransductionDopamineDopamine AgentsLevodopaBasal gangliaCognitive controlDopamineExecutive functionMovement disordersStop-signal task

Identifiers

PMID29501966
PMCPMC6436810
OpenAlexW2793554120

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.