Evidence map›Paper›PMID 26888617›Full record

ArticleJournal of the International Neuropsychological Society : JINS2016

Salience and Default Mode Network Coupling Predicts Cognition in Aging and Parkinson's Disease.

Deepti Putcha, Robert S Ross, Alice Cronin-Golomb, Amy C Janes, Chantal E Stern

Abstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

54 citing papers in PubMed, 102 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Deepti Putcha1Department of Psychological and Brain Sciences,Boston University,Boston,Massachusetts.
Robert S Ross1Department of Psychological and Brain Sciences,Boston University,Boston,Massachusetts.
Alice Cronin-Golomb1Department of Psychological and Brain Sciences,Boston University,Boston,Massachusetts.
Amy C Janes4Brain Imaging Center,McLean Hospital,Department of Psychiatry,Harvard Medical School,Belmont,Massachusetts.
Chantal E Stern1Department of Psychological and Brain Sciences,Boston University,Boston,Massachusetts.
Boston University · USMcLean Hospital · US

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Effects of Parkinson's Disease on Perception, Cognition, and GaitR01NS067128 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CRONIN-GOLOMB, ALICE · 2009 to 2013
$3.2M
Combined MRI/PET Imager for Simultaneous Acquisition of PET/MRI DataS10RR022976 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI JENKINS, BRUCE · 2007 to 2007
$2.0M
Training in Cognitive Function and Neuroimaging of Smoking-Related CuesK01DA029645 · NIDA · MCLEAN HOSPITAL · PI JANES, AMY C · 2011 to 2015
$853k
PET CAMERA FOR BRAIN IMAGING: SCHIZOPHRENIA, BIPOLAR DISORDERS10RR019933 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$500k
NCRR NIH HHS S10 RR019933NCRR NIH HHS S10RR019933NCRR NIH HHS S10 RR022976NCRR NIH HHS S10RR022976NIBIB NIH HHS P41 EB015896NIBIB NIH HHS P41EB015896NIDA NIH HHS K01 DA029645NIDA NIH HHS K01DA029645NINDS NIH HHS R01 NS067128
6 · The paper itself

Abstract

objectivesCognitive impairment is common in Parkinson's disease (PD). Three neurocognitive networks support efficient cognition: the salience network, the default mode network, and the central executive network. The salience network is thought to switch between activating and deactivating the default mode and central executive networks. Anti-correlated interactions between the salience and default mode networks in particular are necessary for efficient cognition. Our previous work demonstrated altered functional coupling between the neurocognitive networks in non-demented individuals with PD compared to age-matched control participants. Here, we aim to identify associations between cognition and functional coupling between these neurocognitive networks in the same group of participants.

methodsWe investigated the extent to which intrinsic functional coupling among these neurocognitive networks is related to cognitive performance across three neuropsychological domains: executive functioning, psychomotor speed, and verbal memory. Twenty-four non-demented individuals with mild to moderate PD and 20 control participants were scanned at rest and evaluated on three neuropsychological domains.

resultsPD participants were impaired on tests from all three domains compared to control participants. Our imaging results demonstrated that successful cognition across healthy aging and Parkinson's disease participants was related to anti-correlated coupling between the salience and default mode networks. Individuals with poorer performance scores across groups demonstrated more positive salience network/default-mode network coupling.

conclusionsSuccessful cognition relies on healthy coupling between the salience and default mode networks, which may become dysfunctional in PD. These results can help inform non-pharmacological interventions (repetitive transcranial magnetic stimulation) targeting these specific networks before they become vulnerable in early stages of Parkinson's disease.

Indexed as

Brain MappingAgedAgingCase-Control StudiesCognition DisordersExecutive FunctionFemaleHumansMaleMemoryMiddle AgedNeural PathwaysNeuropsychological TestsParkinson DiseasePsychomotor DisordersVerbal LearningCognitive impairmentDefault mode networkFunctional magnetic resonance imagingIntrinsic connectivity networksNeurodegenerationSalience network

Identifiers

PMID26888617
PMCPMC5467744
OpenAlexW2279759292

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.