Aging of Amateur Singers and Non-singers: From Behavior to Resting-state Connectivity

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Description:
This datasets includes resting-state functional connectivity (RSFC) group data from 41 healthy singers and 43 non-singers, measured in five networks: auditory, speech, language, default mode and dorsal attention, as well as its relationship to auditory cognitive aging. The dataset includes the analytical the scripts and the group-level results. The original individual data (behavioural and MRI) cannot be shared because participants did not consent to individual data sharing at the time.
Author(s):
Tremblay, Pascale

Tremblay, Pascale

Université Laval
0000-0001-7161-9255
 and Xiyue, Zhang

Xiyue, Zhang

Université Laval
0000-0002-3133-6434
Contributor(s):
Tremblay, Pascale
Source Repository:
Dataverse de l'Université Laval
Series:
Pascale Tremblay 9255
Publisher(s):
Borealis
Access:
Public
URL:
https://doi.org/10.5683/SP3/PSNGYT
Publication date:
2023-10-11
Subjects:
Other, Medicine, Health and Life Sciences
Keywords:
Aging, Singing, Brain plasticity, Magnetic resonance imaging, Resting-state functional connectivity, fMRI, Brain imaging, and RVMFAST
Identifier:
https://doi.org/10.5683/SP3/PSNGYT

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Citation

APA Citation:
Tremblay, P., & Xiyue, Z. (2023). Aging of Amateur Singers and Non-singers: From Behavior to Resting-state Connectivity [Data set]. Dataverse de l'Université Laval. https://doi.org/10.5683/SP3/PSNGYT
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