Advanced MRI Scans May Help Predict Risk Of Schizophrenia

New scanning methods that map the wiring of the brain could prove to be a valuable tool to predict people at risk of schizophrenia, according to a new study.

Scientists have long known that the symptoms of schizophrenia are partly explained by disordered connectivity in the brain.

Now, Magnetic Resonance Imaging (MRI) has been used to identify, for the first time, how the brains of young people, who have some of the symptoms of schizophrenia, are wired differently.

The work was conducted by a team of scientists from Cardiff University Brain Research Imaging Centre (CUBRIC), the Institute of Psychiatry, Psychology and Neuroscience, Kings College London and the University of Bristol.

Professor Derek Jones, Director of CUBRIC, commented:

“We already know that the brains of people with schizophrenia are wired differently and are less efficient than healthy people.

However, until now, no study has tried to use this information to look at healthy individuals with some of the same symptoms but without actually having the condition.”

Information Transmission Reduced

Using diffusion-weighted MRI, which maps the wiring of the brain, the team scanned 123 people who have vulnerability to psychosis, and 125 people without vulnerability and compared the differences in the wiring of their brains.

The results, published in the journal Human Brain Mapping, showed the ability of the brain network in people vulnerable to schizophrenia to transmit information from one region to another was reduced and some information pathways were rerouted.

The team found that this affected certain central information hubs of the brain, which could lead to widespread problems in information processing in a similar way to schizophrenia.

Cardiff University’s Dr Mark Drakesmith, who led the research, said:

“The changes we’ve identified in the brain networks are extremely subtle.

However, using a specific type of Magnetic Resonance Imaging (MRI) which maps the wiring of the brain, we have made some key discoveries that would not have been detected using more established brain imaging techniques.

The technique employs a branch of mathematics called ‘graph theory‘, which allows us to examine complex architectural features of networks, such as efficiency of information transfer.

This approach is traditionally used in computer science, but is now giving neuroscientists and psychiatrists new insights into how configurations of brain networks are altered in mental illness.”

26 Million Affected Worldwide

Schizophrenia is a serious mental disorder, which causes hallucinations, delusions and disordered thought. It is a relapsing and remitting condition which can be controlled with medication.

Nevertheless, the World Health Organisation (WHO) estimates that schizophrenic disorders affect around 26M people worldwide and result in moderate or severe disability in sixty percent of cases.

The team hope their new analysis could provide a valuable insight into how the wiring of the brain gives rise to symptoms of schizophrenia, and crucially, offer a new tool for predicting future illness.

Professor Anthony David at Kings College London added:

“Understanding the way people’s brains become misconnected or connected less efficiently is crucial to understanding the illness. What we would like to find out is why for some people, these changes progress while in others they don’t — that’s the next challenge.”

Reference:

Mark Drakesmith, Karen Caeyenberghs, Anirban Dutt, Stanley Zammit, C. John Evans, Abraham Reichenberg, Glyn Lewis, Anthony S. David, Derek K. Jones.
Schizophrenia-like topological changes in the structural connectome of individuals with subclinical psychotic experiences.
Human Brain Mapping, 2015; DOI: 10.1002/hbm.22796

Photo: NIH

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