Saturday, November 02, 2019

Autistic people have symmetrical brain hemispheres

While it is known that the human brain is divided into 2 hemispheres, what is not known is that despite the 2 develop differently, symmetry is found in the brain of autistic people.

The left and right halves develop differently, as each ' specialises' in certain functions. But brain asymmetry is sometimes affected in people with developmental or psychiatric disorders like autism, which is characterised by impaired social cognition, repetitive behaviour and restricted interests.

Previous  studies have suggested that people with autism spectrum disorder are less likely to have the typical asymmetries for language dominance or hand preference, explained a researcher.

However, it has not been clear whether asymmetry of the brain's anatomy is affected in autism, because different studies have reported different findings, he added.

To find if people with autism have a more symmetrical brain, researchers decided to do a large-scale study, based in brain scan data from 1,774 people with autism and 1,808 healthy controls that were collected in different countries over more than 20 years.

They found that the left and right cerebral hemispheres of the brain are indeed more similar in people with autism.

In other words, people with ASD had less brain asymmetry. The reduced asymmetry was mostly found for cortical thickness, at various locations across the brain's surface.

In the healthy brain, the thickness of the cerebral cortex ( the think layer of gray matter that covers the brain) differs between the left and right hemispheres.

Importantly, the anatomical differences did not depend on age, sex IQ, the severity of symptoms or medication use.

The very small average differences in brain asymmetry between affected people and controls mean that changes of brain asymmetry will not be useful in terms of clinical prediction, said  a researcher.

The very small average differences in brain asymmetry between affected people and controls mean that changes of brain asymmetry will not be useful in terms of clinical prediction, said the researcher.

As the bulk of the data were from children, the findings suggest that altered development of the brain's left-right axis is involved in autism, affecting widespread brain regions with diverse functions.

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Saturday, December 22, 2018

AI system learns to diagnose, classify intracranial haemorrhage

Researchers have developed a system using Artificial Intelligence (AI) to quickly diagnose and classify brain hemorrhages and to provide the basis of its decisions from relatively small image datasets.

According to the researchers, such a system could become an indispensable tool for hospital emergency departments evaluating patients with symptoms of a potentially life-threatening stroke, allowing rapid application of the correct treatment.

"Some critics suggest that Machine Learning (ML) algorithms cannot be used in clinical practice because the algorithms do not provide justification for their decisions," said a doctor.

To train the system, the research team began with 904 head CT scans, each consisting of around 40 individual images that were labelled by a team of five neuro-radiologists as to whether they depicted one of the five hemorrhage sub-types, based on the location within the brain, or no hemorrhage.

To improve the accuracy of this deep-learning system, the team built in steps mimicking the way radiologists analyse images, suggested the study.


Once the model system was created, the team tested it on two separate sets of CT scans -- a retrospective set taken before the system was developed, consisting of 100 scans with and 100 without intracranial haemorrhage, and a prospective set of 79 scans with and 117 without hemorrhage, taken after the model was created.

In its analysis of the retrospective set, the model system was as accurate in detecting and classifying intracranial hemorrhages as the radiologists that had reviewed the scans had been, the team said.

In its analysis of the prospective set, it proved to be even better than non-expert human readers, they added.

  


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