Evidence map›Paper›PMID 35584784›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Graph-theoretical insights into the effects of aging on the speech production network.

Jana Schill, Kristina Simonyan, Maximilian Corsten, Christian Mathys, Christiane Thiel, Karsten Witt

Registry-linked trialAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03042962 (Brain Networks in Dystonia), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT03042962 recruitingnot on this map

Brain Networks in Dystonia

TypeobservationalSponsorMassachusetts Eye and Ear InfirmaryRan2015 to 2027Enrolled141ConditionsSpasmodic Dysphonia, Singer's Dystonia, Writer's Cramp, Musician's Focal Hand DystoniaArmsMRI, Blood draw
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors.

Jana SchillDepartment of Neurology, School of Medicine and Health Sciences, University of Oldenburg, Heiligengeisthöfe 4, 26121 Oldenburg, Germany.ORCID 0000-0003-0085-8050
Kristina SimonyanDepartment of Otolaryngology - Head & Neck Surgery, Harvard Medical School, Boston, 243 Charles Street, Boston, MA 02114, United States.ORCID 0000-0001-7444-0437
Maximilian CorstenDepartment of Neurology, School of Medicine and Health Sciences, University of Oldenburg, Heiligengeisthöfe 4, 26121 Oldenburg, Germany.
Christian MathysInstitute of Radiology and Neuroradiology, Evangelisches Krankenhaus, University of Oldenburg, Steinweg 13-17, 26122 Oldenburg, Germany.
Christiane ThielResearch Center Neurosensory Science, University of Oldenburg, Carl-von-Ossietzky-Straβe 9, 26129 Oldenburg, Germany.
Karsten WittDepartment of Neurology, School of Medicine and Health Sciences, University of Oldenburg, Heiligengeisthöfe 4, 26121 Oldenburg, Germany.

Funding

Imaging genetics of spasmodic dysphoniaR01DC011805 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Kristina Simonyan · 2012 to 2026
$8.8M
Voice tremor in spasmodic dysphonia: central mechanisms and treatment responseR01DC012545 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI SIMONYAN, KRISTINA · 2012 to 2021
$5.2M
Brain Networks in DystoniaR01NS088160 · NINDS · MASSACHUSETTS EYE AND EAR INFIRMARY · PI SIMONYAN, KRISTINA · 2015 to 2019
$2.4M
NIDCD NIH HHS R01 DC011805NIDCD NIH HHS R01 DC012545NINDS NIH HHS R01 NS088160
6 · The paper itself

Abstract

Speech production relies on the interplay of different brain regions. Healthy aging leads to complex changes in speech processing and production. Here, we investigated how the whole-brain functional connectivity of healthy elderly individuals differs from that of young individuals. In total, 23 young (aged 24.6 ± 2.2 years) and 23 elderly (aged 64.1 ± 6.5 years) individuals performed a picture naming task during functional magnetic resonance imaging. We determined whole-brain functional connectivity matrices and used them to compute group averaged speech production networks. By including an emotionally neutral and an emotionally charged condition in the task, we characterized the speech production network during normal and emotionally challenged processing. Our data suggest that the speech production network of elderly healthy individuals is as efficient as that of young participants, but that it is more functionally segregated and more modularized. By determining key network regions, we showed that although complex network changes take place during healthy aging, the most important network regions remain stable. Furthermore, emotional distraction had a larger influence on the young group's network than on the elderly's. We demonstrated that, from the neural network perspective, elderly individuals have a higher capacity for emotion regulation based on their age-related network re-organization.

Indexed as

AgingSpeechAgedBrainBrain MappingHumansMagnetic Resonance ImagingNeural Pathwaysemotional distractionfunctional magnetic resonance imaginghealthy agingnetwork analysisspeech production network

Identifiers

PMID35584784
PMCPMC9977355

What OpenQuestion holds

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Registered trials

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.