ʵ

News

Listeners immerse themselves in audiobooks in very different ways – and this shows in the brain

In the future, a new brain research method could be used to study creativity
Tutkimuksessa arvioitiin, miten lähellä tai kaukana koehenkilöiden tuottamat sanalistaukset olivat merkityksen perusteella toisistaan. Kuva: Iiro Jääskeläinen.
estimations were made on how far the research subjects’ word lists were from each other. estimations were made on how far the research subjects’ word lists were from each other.

Researchers at Aalto University analysed how listeners immerse themselves in audiobooks by using functional magnetic resonance imaging (fMRI) and words that the story brings to mind. The study indicated that word lists resembling each other also predicted similarities in brain function.

In the study, 16 people listened to an audiobook written by Professor Iiro Jääskeläinen inside an fMRI device. After this, the same people listened to the story again in sections lasting between 3 and 5 seconds, and listed the words that came to their mind while they were listening.

For example, the following line in the story ‘went towards the bedroom door’ may, to some people, bring to mind a door handle, walking and a bedroom, while another person may recall a television, home and their favourite TV series. The visual images may also be different.

‘Instead of focusing on individual statements, the study examined immersion, or similarity in brain activity, in relation to the entire story’, Jääskeläinen says.

Word lists produced by the research subjects were assessed using a semantic tree and latent semantic analysis. In a semantic tree, dots represent concepts and arcs portray the relationships between concepts. For example, the words ‘dog’, ‘canine’ and ‘spaniel’ are close to each other in the tree, while ‘dog’ and ‘submarine’ are far apart. On the basis of this, estimations were made on how far the research subjects’ word lists were from each other.

Scientists discovered that similar words in the list predicted similarities in the test subjects’ brain activity, particularly in the area between the temporal and parietal lobe, which is important in language processing, and the visual cortex.

‘In the future, it will be interesting to see if this is caused by, for instance, cultural or personality differences’, Iiro Jääskeläinen says.

In meantime, the new method has various potential research applications: such as measuring creativity and its neural basis; or how people with different cultural backgrounds interpret the world in different ways.

Further information:

Iiro Jääskeläinen
Professor
Aalto University
iiro.jaaskelainen@aalto.fi
Phone: 050 560 9503

  • Updated:
  • Published:
Share
URL copied!

Read more news

Close-up of a complex scientific instrument with golden components and various wires, in a laboratory setting.
Press releases Published:

Time crystals could power future quantum computers

A time crystal, a long-life quantum system approaching perpetual motion, has been hooked up to its environment for the first time, unlocking an intriguing way to increase quantum computational and sensing power.
A person in black touches a large stone sculpture outside a brick building under a blue sky.
Campus, Research & Art, University Published:

Glitch artwork challenges to see art in a different light

Laura Könönen's sculpture was unveiled on 14 October at the Otaniemi campus.
Book cover of 'Nanoparticles Integrated Functional Textiles' edited by Md. Reazuddin Repon, Daiva Mikučioniene, and Aminoddin Haji.
Research & Art Published:

Nanoparticles in Functional Textiles

Dr. Md. Reazuddin Repon, Postdoctoral Researcher at the Textile Chemistry Group, Department of Bioproducts and Biosystems, Aalto University, has contributed as an editor to a newly published academic volume titled “Nanoparticles Integrated Functional Textiles”.
Person standing outdoors in autumn, wearing a grey hoodie and green jacket. Trees in the background with orange leaves.
Appointments Published:

Introducing Qi Chen: Trustworthy AI requires algorithms that can handle unexpected situations

AI developers must focus on safer and fairer AI methods, as the trust and equality of societies are at stake, says new ELLIS Institute Finland principal investigator Qi Chen