2015
DOI: 10.3389/fnins.2015.00007
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Resting-state functional connectivity and pitch identification ability in non-musicians

Abstract: Previous studies have used task-related fMRI to investigate the neural basis of pitch identification (PI), but no study has examined the associations between resting-state functional connectivity (RSFC) and PI ability. Using a large sample of Chinese non-musicians (N = 320, with 56 having prior musical training), the current study examined the associations among musical training, PI ability, and RSFC. Results showed that musical training was associated with increased RSFC within the networks for multiple cogni… Show more

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Cited by 14 publications
(19 citation statements)
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References 74 publications
(93 reference statements)
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“…The first 10 volumes of each subject were discarded to allow participants to adapt to the scanning environment. The remaining data were preprocessed including slice timing, head motion correction, and spatial normalization to the standard Montreal Neurological Institute (MNI) space (resampling to 3 × 3 × 3 mm 3 ) [25]. Subsequently, the images were spatially smoothed with a 6 mm full-width at half-maximum (FWHM) Gaussian kernel.…”
Section: Methodsmentioning
confidence: 99%
“…The first 10 volumes of each subject were discarded to allow participants to adapt to the scanning environment. The remaining data were preprocessed including slice timing, head motion correction, and spatial normalization to the standard Montreal Neurological Institute (MNI) space (resampling to 3 × 3 × 3 mm 3 ) [25]. Subsequently, the images were spatially smoothed with a 6 mm full-width at half-maximum (FWHM) Gaussian kernel.…”
Section: Methodsmentioning
confidence: 99%
“…Resting-state analyses have recently provided powerful insights into functional anomalies of various pathologies, including neurodevelopmental disorders such as dyslexia (Schurz et al 2015). Furthermore, first studies investigating brain connectivity at rest in musicians (Fauvel et al 2014;Hou et al 2015;Luo et al 2012) have suggested that experience as a music performer modifies intrinsic brain connectivity, notably by enhancing functional connectivity in the motor and the multisensory cortices, as well as in multiple cognitive networks. For amusia, based on previously reported anatomic abnormalities (Loui et al 2009) and functional coupling changes during auditory protocols (Albouy et al 2013a(Albouy et al , 2015Hyde et al 2011), we predicted underconnectivity of the frontotemporal network at rest.…”
Section: New and Noteworthymentioning
confidence: 99%
“…Functional connectivity in ACC and MCC has been shown to be more developed in musicians when compared to nonmusicians (Zamorano et al, 2017). Also, Hou and colleagues (Hou, Chen, & Dong, 2015) observed a higher RS‐FC between numerous brain regions, including motor areas and inferior temporal gyrus, middle frontal gyrus, and superior medial frontal cortex in adult nonmusician depending on previous music practice. As previously reported, unlike full‐term newborns, preterm infants are exposed to higher variability of ex‐utero auditory stimulations earlier, including different and unfamiliar adult voices and potentially lullabies or songs.…”
Section: Discussionmentioning
confidence: 96%