New research examines how music could benefit treatment of depression, management of physical pain

New research into how music conveys emotion could benefit the treatment of depression and the management of physical pain.

Using an innovative combination of music psychology and leading-edge audio engineering the project is looking in more detail than ever before at how music conveys emotion.

The project, at Glasgow Caledonian University is supported by the Engineering and Physical Sciences Research Council (EPSRC).

The research could lead to advances in the use of music to help regulate a person's mood, and promote the development of music-based therapies to tackle conditions like depressive illnesses. It could help alleviate symptoms for people who are dealing with physical pain and even lead to doctors putting music on a prescription that is tailored to suit the needs of an individual.

"The impact of a piece of music on a person goes so much further than thinking that a fast tempo can lift a mood and a slow one can bring it down. Music expresses emotion as a result of many factors," says audio engineering specialist Dr Don Knox, project leader. "These include the tone, structure and other technical characteristics of a piece. Lyrics can have a big impact too. But so can purely subjective factors: where or when you first heard it, whether you associate it with happy or sad events and so on. Our project is the first step towards taking all of these considerations - and the way they interact with each other - on board."

Raymond MacDonald, Professor of Music Psychology at Glasgow Caledonian University, is also playing a central role in the initiative.

You can find out more about the research from the team involved on our Youtube channel.

The team has already carried out an unprecedentedly detailed audio analysis of pieces of music, identified as expressing a range of emotions by a panel of volunteers.

Each volunteer listens to pieces of previously unheard contemporary popular music* and assigns each one a position on a graph. One axis measures the type of feeling (positivity or negativity) that the piece communicates; the other measures the intensity or activity level of the music. The research team then assess the audio characteristics that the pieces falling into each part of the graph have in common.

"We look at parameters such as rhythm patterns, melodic range, musical intervals, length of phrases, musical pitch and so on," says Dr Knox. "For example, music falling into a positive category might have a regular rhythm, bright timbre and a fairly steady pitch contour over time. If tempo and loudness increase, for instance, this would place the piece in a more 'exuberant' or 'excited' region of the graph."

The team are now about to start their assessment of the impact of lyrics, and then hope to focus on how individuals use and experience music at a subjective level.

The ultimate aim is to develop a comprehensive mathematical model that explains music's ability to communicate different emotions. This could make it possible, within a few years, to develop computer programs which identify pieces of music that will influence a individual's mood (e.g. to motivate them when exercising or when revising for exams), meet their emotional needs and help them cope better with physical pain.

"By making it possible to search for music and organise collections according to emotional content, such programs could fundamentally change the way we interact with music," says Dr Knox. "Some online music stores already tag music according to whether a piece is 'happy' or 'sad'. Our project is refining this approach and giving it a firm scientific foundation, unlocking all kinds of possibilities and opportunities as a result".

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
New research explores how omega-3 and omega-6 fatty acids may impact cancer rates