Diffusion tensor and volumetric magnetic resonance imaging findings in the brains of professional musicians

Acer, Niyazi; Bastepe-Gray, Serap; Sağiroğlu, Ayşe; Gümüş, Kazım; Değirmencioğlu, Levent; Zararsız, Gökmen; Özi̇ç, Muhammet Üsame

doi:10.1016/j.jchemneu.2017.11.003

Cited by 27 publications

(26 citation statements)

References 35 publications

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“…Another limitation is the heterogeneity of the stimuli. A right‐handed amateur ukulele player will present a different pattern of brain activity than a left‐handed piano virtuoso or a non‐musician instructed to tap on a drum, both in the motor activity required to play their instruments and in the organisation of their musical network (Acer et al., ; Oechslin, Van De Ville, Lazeyras, Hauert, & James, ). Developing a normative contrast condition is essential to identify differences related to instrument and expertise, which will help to strengthen the model's applicability.…”

Section: Future Directionsmentioning

confidence: 99%

Towards a standard model of musical improvisation

Faber

McIntosh

2019

Eur J of Neuroscience

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Musical improvisation is a sophisticated cognitive process that combines creativity, goal‐directed action, sensory monitoring and social interaction. With a renewed interest in quantifying creative processes facilitated by recent advances in neuroimaging technology, musical improvisation has emerged as an ideal paradigm to study creativity. However, many studies isolate the top‐down processes related to creativity from those related to production and auditory perception, leaving the question of how creative behaviours integrate sensory information with higher cognitive processes unanswered. The bottom‐up neural correlates of music perception have been extensively quantified, comprising networks for auditory processing and parsing semantic and syntactic content. In studies of spontaneously generated music and domain‐general creativity, executive control and goal‐directed movement networks are added to the perceptual foundation. This review summarises previous work on music perception and improvisation and presents a conceptual model of musical improvisation with known neural correlates. We make recommendations on future directions for the study of improvisation and discuss the challenges posed by this endeavour.

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Section: Future Directionsmentioning

confidence: 99%

Towards a standard model of musical improvisation

Faber

McIntosh

2019

Eur J of Neuroscience

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“…Another limitation is the heterogeneity of the stimuli. A right-handed amateur ukulele player will present a different pattern of brain activity than a left-handed piano virtuoso or a nonmusician instructed to tap on a drum, both in the motor activity required to play their instruments, and in the organization of their musical network (Oechslin et al, 2012;Acer et al, 2017). Developing a normative contrast condition is essential to identify differences related to instrument and expertise, which will help to strengthen the model's applicability.…”

Section: Future Directionsmentioning

confidence: 99%

Toward a standard model of musical improvisation

Faber

McIntosh

2019

Preprint

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Musical improvisation is a sophisticated cognitive process that shares many commonalities with language in stimulus features, social behavior, and neural demands . With a renewed interest in quantifying creative processes facilitated by recent advances in neuroimaging technology, musical improvisation has emerged as an ideal paradigm to study creativity. However, many studies isolate the top-down processes related to creativity from those related to production and auditory perception, leaving the question of how creative behaviours integrate sensory information with higher cognitive processes unanswered. The bottom-up neural correlates of music perception have been extensively quantified, often in tandem with language, comprising a common auditory processing network and analogous networks for parsing semantic and syntactic content from music and speech signals. In studies of spontaneously generated music and language, executive control and goal-directed movement networks are added to the perceptual foundation. This review summarizes previous work on music and speech perception and production, and presents a conceptual model of musical improvisation with known neural correlates. We make recommendations on future directions for the study of social interaction with music and language, and discuss the challenges posed by such endeavours.

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“…However, for three-dimensional tract reconstruction can use the Fiber Assignment by Continuous Tracking (FACT) algorithm that based on the multiple ROI "virtual dissection" technique for isolating specific anatomic pathways, remains the most popular approach for both clinical and scientific applications (9,10,11). For fiber tractography can perform using DTIStudio (13). The seed areas used for selective fiber tractography should select on 3D DTI color images (Fig 1).…”

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confidence: 99%

“…There are two main analytical methods voxel-based analysis (VBA) and region-of-interest (ROI) analysis that can be applied in the investigation of DTI measurements. Many recently published studies use the specific ROIs approach however the subjectivity of the choice and placement of ROIs brings some limitation for this method (13).…”

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confidence: 99%

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What does the water inside the brain tell us? Diffusion tensor imaging

Acer

Dundar

Bastepe-Gray

2018

The EuroBiotech Journal

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The brain consist of about 75 percent water. Diffusion tensor imaging (DTI) is an advanced magnetic resonance (MR) technique imaging that has been developed for diagnostic and research in medicine. It can be use DTI tractography to better understand degenerating axons of white matter lesions in some neurological diseases such as MS, AD, trauma, cerebral ischemia, epilepsy, brain tumors and metabolic disorders.

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Diffusion tensor and volumetric magnetic resonance imaging findings in the brains of professional musicians

Cited by 27 publications

References 35 publications

Towards a standard model of musical improvisation

Towards a standard model of musical improvisation

Toward a standard model of musical improvisation

What does the water inside the brain tell us? Diffusion tensor imaging

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