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28 October 2020 | Story Nitha Ramnath


Lunchtime learning webinar series on Interdisciplinarity in Action

Mastering a musical instrument, such as the piano, requires the simultaneous integration of a multimodal, sensory system and motor information with multimodal, sensory feedback mechanisms that continuously monitor the performance. Performing intricate movements requires complex, sensory-motor programming of finger and hand movements, which can result in a reorganisation of the brain regarding functional and structural changes of existing and the establishment of new connections. Neuronal networks involved in music processing are adaptable and fast-changing. When motor skills are simplified to the most important action, it consists of nerve impulses sent to the muscles.

In this webinar, Dr Frelét de Villiers discusses the interdisciplinarity between the two fields of music and neuroscience. Promising preliminary data has been reported for applications of transcranial direct stimulation (tDCS) of the motor cortex, ranging from stroke rehabilitation to cognitive enhancement. These findings raise the alternative possibility that the fine motor control of pianists may be improved by stimulating the contralateral motor cortex. 

In our interdisciplinary study, we want to use the Halo Sport neurostimulation system (a physical training aid). This is a tDCS device, designed to optimise the efficiency of training sessions and accelerate gains in any physical skill, especially when the neurostimulation is complemented by focused repetitive training. The main questions of the study are the following: do pianists experience a noticeable difference in mastering repertoire with and without the HALO Sport device, and can functional and structural changes in the brain be observed after using the Halo Sport consistently over six months? Data collection will consist of EEG tests, fMRI scans, interviews, and analysis of performances by an expert panel. The value of the research is the possibility that practising with the HALO may improve the performance of the students and that changes in the brain may be observed. Interdisciplinary engagement is essential to conduct this research. If it is possible to establish that there are functional and structural changes in the brain and improvement in the performance of the pianists, the research can be extended to other disciplines with hopefully the same positive results.

This webinar is part of a series of three webinars on Interdisciplinarity that will be presented from November to December 2020 via Microsoft Teams for a duration of 45 minutes each. The webinar topics in the series will explore the intersection between Neuroscience and Music, between Science and Entrepreneurship, and between Science and Visual Arts.  

Date: Thursday 5 November 2020
Topic: The intersection between neuroscience and music 
Time: 13:00-13:45
RSVP: Alicia Pienaar, pienaaran1@ufs.ac.za by 4 November 2020 at 12:00
Platform: Microsoft Teams

Introduction and welcome
Prof Corli Witthuhn – Vice-Rector: Research at the University of the Free State 

Presenter
Dr Frelét de Villiers

Dr de Villiers is a Senior Lecturer at the Odeion School of Music. She is head of the Methodology modules, short learning programmes, lectures in piano, music pedagogy, arts management, and is a supervisor for postgraduate students. She is a member of the Faculty of the Humanities Research Committee, Interdisciplinary Centre for Digital Futures, Scientific Committee (Arts), and the Ethics Committee (the Humanities). Her field of expertise is piano technique, with particular emphasis on the influence of the brain and the whole-brain approach to music. Her passion is the use of technology in the music teaching situation – she developed a note-learning app, PianoBoost (available on Google Play).

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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