• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Saturday, August 2, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home Headlines

Thickness of grey matter predicts ability to recognize faces and…

Bioengineer.org by Bioengineer.org
January 19, 2018
in Headlines, Health, Science News
Reading Time: 2 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram
IMAGE

When you see a familiar face, when a bird-watcher catches a glimpse of a rare bird perched on a limb, or when a car-fancier spots a classic auto driving past, the same small region in the brain becomes engaged.

For almost two decades, neuroscientists have known that this area, called the fusiform face area (FFA), plays a vital role in the brain's ability to recognize faces and objects that an individual has learned to identify.

Now a new study, accepted for publication by the Journal of Cognitive Neuroscience, has taken this a step further by finding that the thickness of the cortex in the FFA – as measured using magnetic resonance imaging – can predict a person's ability to recognize faces and objects.

"It is the first time we have found a direct relationship between brain structure and visual expertise," said Isabel Gauthier, David K. Wilson Professor of Psychology at Vanderbilt University, who directed the study. "It shows more clearly than ever that this part of the brain is relevant to both face and object recognition abilities."

Surprising twist on cortical thickness

Relationships between cortical thickness and other types of processes, such as motor learning and acquisition of musical skills, have been observed before. The relationship seems relatively straightforward: the process of learning to type faster or play a violin causes the neurons in the relevant area of the cortex to make new connections, which causes the cortex to appear thicker. However, the link between cortical thickness and how well we recognize faces and objects turns out to have a surprising twist.

To establish this surprising relationship, Gauthier and her co-authors, post-doctoral fellow Rankin McGugin and Ana Van Gulick from Carnegie Mellon University, measured the ability of 27 men to identify objects from several different categories divided into two groups: living and non-living. They also tested subjects' ability at recognizing faces.

Using advanced brain-mapping techniques, the researchers were able to pinpoint the exact location of the FFA in each individual and to measure its cortical thickness. When they analyzed the results, the researchers found that the men with thicker FFA cortex performed generally better at identifying non-living objects while those having thinner FFA cortex performed better at identifying faces and living objects.

"It was really a surprise to find that the effects are in opposite directions for faces and non-living objects," said Gauthier. "One possibility that we are exploring is that we acquire expertise for faces much earlier than we learn about cars, and brain development is quite different earlier versus later in life."

There are significant sex differences in facial and object recognition, so the researchers would like to repeat the experiment using women to see if this same relation holds true. They would also like to start with a group of non-experts and then track how the thickness of their FFA cortex changes as they undergo the training process to become experts.

###

This research was supported by National Science Foundation grant SBE-0542013 and National Eye Institute grant R01-EY013441-06A2.

Share12Tweet7Share2ShareShareShare1

Related Posts

Predicting Lung Infections After Brain Hemorrhage

Predicting Lung Infections After Brain Hemorrhage

August 2, 2025
blank

Impact of Morphology and Location on Aneurysms

August 2, 2025

Unraveling EMT’s Role in Colorectal Cancer Spread

August 2, 2025

Gut γδ T17 Cells Drive Brain Inflammation via STING

August 2, 2025
Please login to join discussion

POPULAR NEWS

  • Blind to the Burn

    Overlooked Dangers: Debunking Common Myths About Skin Cancer Risk in the U.S.

    60 shares
    Share 24 Tweet 15
  • Dr. Miriam Merad Honored with French Knighthood for Groundbreaking Contributions to Science and Medicine

    46 shares
    Share 18 Tweet 12
  • Neuropsychiatric Risks Linked to COVID-19 Revealed

    40 shares
    Share 16 Tweet 10
  • Study Reveals Beta-HPV Directly Causes Skin Cancer in Immunocompromised Individuals

    38 shares
    Share 15 Tweet 10

About

BIOENGINEER.ORG

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Predicting Lung Infections After Brain Hemorrhage

Impact of Morphology and Location on Aneurysms

Unraveling EMT’s Role in Colorectal Cancer Spread

  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.