Evidence map›Paper›PMID 25627959›Full record

ArticleHuman brain mapping2015

The intrinsic resting state voice network in Parkinson's disease.

Anneliese B New, Donald A Robin, Amy L Parkinson, Claudia R Eickhoff, Kathrin Reetz, Felix Hoffstaedter, Christian Mathys, Martin Sudmeyer, Christian Grefkes, Charles R Larson and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-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

21 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
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  4. Levodopa may modulate specific speech impairment in Parkinson's disease: an fMRI study.Journal of neural transmission (Vienna, Austria : 1996) · 2024
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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

13 authors at 9 institutions in 2 countries.

Anneliese B NewUniversity of Texas Health Science Center at San Antonio, Research Imaging Institute, San Antonio, Texas.
Donald A Robin
Amy L Parkinson
Claudia R Eickhoff
Kathrin Reetz
Felix Hoffstaedter
Christian Mathys
Martin Sudmeyer
Christian Grefkes
Charles R Larson
Loraine O Ramig
Peter T Fox
Simon B Eickhoff
Heinrich Heine University Düsseldorf · DEThe University of Texas Health Science Center at San Antonio · USDüsseldorf University Hospital · DEForschungszentrum Jülich · DENorthwestern University · USUniversitätsklinikum Aachen · DEUniversity Hospital Cologne · DEUniversity of Cologne · DEUniversity of Colorado Boulder · US

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
EFFICACY OF VOICE TREATMENT FOR PARKINSONS DISEASER01DC001150 · NIDCD · UNIVERSITY OF COLORADO AT BOULDER · PI RAMIG, LORRAINE O. · 1990 to 2011
$5.8M
Sensory Mechanisms of Voice ControlR01DC006243 · NIDCD · NORTHWESTERN UNIVERSITY · PI LARSON, CHARLES R · 2004 to 2013
$4.6M
Meta-analysis in human brain mappingR56MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2020 to 2020
$543k
NIDCD NIH HHS R01 DC001150NIDCD NIH HHS R01DC001150-20NIDCD NIH HHS R01 DC006243NIDCD NIH HHS R01DC006243NIMH NIH HHS R01 MH074457NIMH NIH HHS R01-MH074457-01A1NIMH NIH HHS R56 MH074457
6 · The paper itself

Abstract

Over 90 percent of patients with Parkinson's disease experience speech-motor impairment, namely, hypokinetic dysarthria characterized by reduced pitch and loudness. Resting-state functional connectivity analysis of blood oxygen level-dependent functional magnetic resonance imaging is a useful measure of intrinsic neural functioning. We utilized resting-state functional connectivity modeling to analyze the intrinsic connectivity in patients with Parkinson's disease within a vocalization network defined by a previous meta-analysis of speech (Brown et al., 2009). Functional connectivity of this network was assessed in 56 patients with Parkinson's disease and 56 gender-, age-, and movement-matched healthy controls. We also had item 5 and 18 of the UPDRS, and the PDQ-39 Communication subscale available for correlation with the voice network connectivity strength in patients. The within-group analyses of connectivity patterns demonstrated a lack of subcortical-cortical connectivity in patients with Parkinson's disease. At the cortical level, we found robust (homotopic) interhemispheric connectivity but only inconsistent evidence for many intrahemispheric connections. When directly contrasted to the control group, we found a significant reduction of connections between the left thalamus and putamen, and cortical motor areas, as well as reduced right superior temporal gyrus connectivity. Furthermore, most symptom measures correlated with right putamen, left cerebellum, left superior temporal gyrus, right premotor, and left Rolandic operculum connectivity in the voice network. The results reflect the importance of (right) subcortical nodes and the superior temporal gyrus in Parkinson's disease, enhancing our understanding of the neurobiological underpinnings of vocalization impairment in Parkinson's disease.

Indexed as

VoiceBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMotor ActivityNeural PathwaysParkinson DiseaseRestSeverity of Illness Indexfunctional connectivityneuroimagingParkinson's diseaseresting-statevoice network

Identifiers

PMID25627959
PMCPMC4782783
OpenAlexW1489794284

What OpenQuestion 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 OpenQuestion graph.