We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Imaging May Aid Communication with People in Vegetative States

By MedImaging International staff writers
Posted on 19 Jul 2012
Researchers have devised new imaging applications that may enable people who are wholly incapable of speaking or moving at all to nonetheless achieve unscripted back-and-forth conversation. The solution to such quiet and motionless communication is the first real-time, brain-scanning speller.

The study’s findings were published online on June 28, 2012, in the journal Current Biology. The new technology builds on cutting-edge earlier uses of functional magnetic resonance imaging (fMRI) brain scans to evaluate consciousness in individuals designated as being in an unconscious, vegetative state and to enable them to answer yes and no questions. fMRI is usually employed for clinical and research purposes to monitor brain activity by measuring blood flow.

“The work…led me to wonder whether it might even become possible to use fMRI, mental tasks, and appropriate experimental designs to freely encode thoughts, letter-by-letter, and therewith enable back-and-forth communication in the absence of motor behavior,” said Dr. Bettina Sorger, from Maastricht University (The Netherlands).

The new data reveal that the solution to that thought question is yes. Dr. Sorger’s team came up with a letter-encoding technique that entails nearly no pretraining. Study Participants voluntarily chose letters on a screen, which guided the letter encoding; for each specific character, participants were asked to perform a specific mental task for a set period of time. That generated 27 distinctive brain patterns corresponding to each letter of the alphabet and the equivalent of a space bar, which could be automatically decoded in real-time using newly developed data analysis methods.

In each communication experiment, study participants had a small conversation consisting of two open questions and answers. Everyone the researchers tested was able to effectively generate answers within a single one-hour session. The study’s findings considerably extend earlier uses of fMRI, which allowed individuals to answer the equivalent of multiple-choice questions having four or fewer possible answers, by enabling free-letter spelling. That could make all the difference for people who are completely paralyzed and unable to take advantage other ways of alternative communication, according to Dr. Sorger.

Eventually, Dr. Sorger reported that their goal is to convert the fMRI technology they have developed to a more portable and affordable method for measuring blood flow, such as functional near-infrared spectroscopy (fNIRS).

Related Links:

Maastricht University


New
Mammography System (Analog)
MAM VENUS
Ultrasonic Pocket Doppler
SD1
Pocket Fetal Doppler
CONTEC10C/CL
New
Half Apron
Demi

Channels

Nuclear Medicine

view channel
Image: The diagnostic tool could improve diagnosis and treatment decisions for patients with chronic lung infections (Photo courtesy of SNMMI)

Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections

Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.