A study by Stanford university found that music attracted people’s attention.
Stanford university school of medicine, a research team using an obscure 18 th-century composer in listening to short symphonies brain images, got the brain valuable insights into how to distinguish the chaos of the world around.
The team showed that music involved areas of the brain involved in predicting and updating events in memory. Brain activity during rush hour occurs during a brief period of silence between the music movement – when nothing seems to have happened.
In addition to understanding the process of listening to music, their work has a profound impact on how the human brain understands events. Their findings appear in the Aug. 2 issue of the journal neuron.
The researchers used functional magnetic resonance imaging (fMRI) or functional magnetic resonance imaging (fMRI) to catch a glimpse of the brain, the functional magnetic resonance imaging (fMRI) provides a dynamic image, showing which parts of the brain are working during a particular activity. The aim of the study was to study how the brain classifies events, but the study also showed that the music technique used by the composer 200 years ago could help the brain organize incoming messages.
“For example, at a music, different people would listen to a music with popular attention, but at the turning point between the two movements, they were arrested.” The senior author of the paper, Dr. Vinod Menon, said that psychiatry is an associate professor of behavioral science and neuroscience.
Menon said: “I’m not sure whether the baroque composers would think so, but from the perspective of modern neuroscience, our research suggests that this is a personal moment of brain response in the form of closely synchronized.
The team used music to help study the continuous flow of information that the brain is trying to understand in the real world, a process known as event segmentation. The brain splits information into meaningful chunks by extracting the start, end, and boundary of events.
In the segmentation process, the conversion between the music movement provides an ideal environment to study the brain activity of landscape dynamic change, “India’s percussion neuroscience graduate Devarajan Sridharan, says lead author.
Researchers have not previously studied the problem of directly addressing the segmentation of events in auditory behavior, especially in music. To explore this area, the team chose music, which consists of several actions, which are separate parts that separate individual pieces into parts. They chose eight first by late baroque British composer William Boyce (William Boyce, 1711-79) of symphony, because his music style is familiar with, but not widely recognized, and in a relatively short transition between several specific actions.
The study focused on motion switching – when music was slower, it was interrupted by a short silence and began the next movement. These transition only takes a few seconds, even if is a musician is obvious, it is vital for their study, it is limited to no formal music training.
The researchers tried to mimic the daily activities of listening to music, while their subjects were prone to lie prone in large, noisy rooms of the MRI machine. Ten men and eight women entered the MRI scanner and noise-cancelling headphones, indicating a simple mute listening to music.
In the analysis of the participants’ brain scans, the researchers focused on the 10-second window before and after the shift. They identified two different neural networks, involved in the process of movement, in two different brain regions. They found a “striking” difference in activity levels between the left and right sides of the brain during the transition, with a significantly more active right.
In this basic study, the researchers concluded that the dynamic changes seen in fMRI scans reflected the brain’s evolving response to different phases of the symphony. Changes in an event – the termination of an action, a short pause, followed by the launch of a new movement, show the change of action – the activation of the first network, known as the ventral fronto-parietal network. Then, the second network-dorsum network turns attention to change and updates working memory at the beginning of the next event.
Dr Jonathan Berger, an associate professor and musician at music, one of the study’s authors, said: “this study suggests a possible evolutionary purpose for music. Music attracted the brain for a while, he said, and listening to music may be a way for the brain to improve its ability to predict events and continue to focus.
According to the researchers, their findings extend the expectations of previous functional brain imaging studies, which are at the heart of music experience. Even non-musicians, at least subconsciously, track the continuous development of music and make predictions about what will happen. Normally, at music, when things are going to be known because music has a basic rhythm, but what happens next is not well known, they say.
What the listener expects to hear is mismatched with what they actually hear – for example, if an unrelated chord follows consistent harmony – triggering a similar ventral region of the brain. Once activated, the region divides different chords into different segments with different boundaries.
The results of the study “may bring us closer to a cocktail party problem – how can we make a dialogue in a crowded room dialogue,” one of the co-authors, Daniel Levitin, said Dr. McGill university music psychologist, he wrote a book called “this is your music brain: man’s obsession with science” best-seller.
Dr Chris Chafe, a professor at Stanford university’s duka family, has also contributed to the work. This study obtained the natural sciences and engineering research council of Canada, the national science foundation, Ben and a. Jess Shenson fund, the national institutes of health and Stanford university graduate student scholarship fund. Functional magnetic resonance imaging (fmri) was performed at the Stanford cognitive and systems neuroscience laboratory.