Literature DB >> 30639332

Univariate and multivariate analyses of functional networks in absolute pitch.

Christian Brauchli1, Simon Leipold2, Lutz Jäncke3.   

Abstract

Absolute pitch (AP) refers to the rare ability to identify the pitch of any given tone without an external reference tone. Previous studies have shown that during auditory processing, AP musicians activate the auditory cortex (AC), the prefrontal cortex (PFC), and parietal areas of the brain. Therefore, it has been hypothesized that AP is sustained by a widespread functional network. In the present functional magnetic resonance imaging (fMRI) study, we tested this hypothesis by employing a mass-univariate analysis of resting-state functional connectivity within the AC, the PFC, and parietal areas in a large sample of musicians with and without AP (N = 100). AP musicians showed increased functional connectivity in the left middle frontal gyrus (MFG), left intraparietal sulcus (IPS), and right superior parietal lobule (SPL). These results provide the first evidence for an AP-specific network characterized by increased functional connections in higher-order cognitive areas. Interestingly, AP was not associated with increases in functional connectivity of the AC, but AP was successfully decoded from functional connectivity patterns in the left AC using multi-voxel pattern analysis (MVPA, also known as multivariate pattern analysis), with group classification accuracy being highest for the left Heschl's gyrus (HG). MVPA can capture fine-grained patterns in the brain connectivity profile of AP musicians, whilst a mass-univariate analysis is sensitive to macroscopic trends in the data. The successful differentiation of AP musicians by MVPA but not by a mass-univariate analysis of connectivity in the AC thus indicates that AP musicians differ in the fine-grained rather than the macroscopic AC function. Based on our findings, and in light of current literature, we propose pitch-label associations, tonal working memory, pitch categorization, and multimodal integration as potential mechanisms underlying the AP ability. This set of psychological functions is controlled by a distributed functional network and a particular AC connectivity pattern only present in AP musicians.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Absolute pitch; Functional connectivity; MVPA; Machine learning; Resting-state fMRI

Mesh:

Year:  2019        PMID: 30639332     DOI: 10.1016/j.neuroimage.2019.01.021

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  9 in total

1.  Perception and Cognition in Absolute Pitch: Distinct yet Inseparable.

Authors:  Simon Leipold; Marielle Greber; Stefan Elmer
Journal:  J Neurosci       Date:  2019-07-24       Impact factor: 6.167

2.  Musical Expertise Shapes Functional and Structural Brain Networks Independent of Absolute Pitch Ability.

Authors:  Simon Leipold; Carina Klein; Lutz Jäncke
Journal:  J Neurosci       Date:  2021-01-25       Impact factor: 6.167

3.  Innate frequency-discrimination hyperacuity in Williams-Beuren syndrome mice.

Authors:  Christopher M Davenport; Brett J W Teubner; Seung Baek Han; Mary H Patton; Tae-Yeon Eom; Dusan Garic; Benjamin J Lansdell; Abbas Shirinifard; Ti-Cheng Chang; Jonathon Klein; Shondra M Pruett-Miller; Jay A Blundon; Stanislav S Zakharenko
Journal:  Cell       Date:  2022-09-23       Impact factor: 66.850

4.  Neocortical substrates of feelings evoked with music in the ACC, insula, and somatosensory cortex.

Authors:  Stefan Koelsch; Vincent K M Cheung; Sebastian Jentschke; John-Dylan Haynes
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

5.  Suppression of Pitch Labeling: No Evidence for an Impact of Absolute Pitch on Behavioral and Neurophysiological Measures of Cognitive Inhibition in an Auditory Go/Nogo Task.

Authors:  Marielle Greber; Lutz Jäncke
Journal:  Front Hum Neurosci       Date:  2020-11-12       Impact factor: 3.169

6.  Use of explicit priming to phenotype absolute pitch ability.

Authors:  Jane E Bairnsfather; Margaret S Osborne; Catherine Martin; Miriam A Mosing; Sarah J Wilson
Journal:  PLoS One       Date:  2022-09-14       Impact factor: 3.752

7.  Strategies Used by Musicians to Identify Notes' Pitch: Cognitive Bricks and Mental Representations.

Authors:  Alain Letailleur; Erica Bisesi; Pierre Legrain
Journal:  Front Psychol       Date:  2020-07-07

Review 8.  How far musicality and perfect pitch are derived from genetic factors?

Authors:  Krzysztof Szyfter; Michał P Witt
Journal:  J Appl Genet       Date:  2020-06-12       Impact factor: 3.240

Review 9.  A Complex Systems Perspective on Neuroimaging Studies of Behavior and Its Disorders.

Authors:  Federico E Turkheimer; Fernando E Rosas; Ottavia Dipasquale; Daniel Martins; Erik D Fagerholm; Paul Expert; František Váša; Louis-David Lord; Robert Leech
Journal:  Neuroscientist       Date:  2021-02-16       Impact factor: 7.235

  9 in total

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