High misdiagnosis rates between bipolar and major depressive disorder cause real harm to patients and services. This new neuroimaging study tested whether brain connectivity and machine learning could do a better job of telling the two apart, with interesting but limited results.
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Millie Lowther, Isabel Luetkenherm, Carlos Mena and Alexandra Pike summarise a recent fMRI meta-analysis, which finds that activation in brain circuits related to salience, interoception and emotional processing were found to predict a positive response to CBT in anxiety disorders.
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Rachel Symons summarises a recent study, which shows that poor connectivity between brain regions may be an indicator of non-suicidal self-injury in young people.
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Shubhangi Karmaker on a recent resting-state fMRI study that explores neural network disturbances that underpin the emergence of emotional symptoms in adolescent girls.
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Matthew Broome appraises a recent cohort study that looks at neural markers of resilience in young women at familial risk for major depressive disorder.
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Dan Joyce publishes his debut blog on a recent paper in the British Journal of Psychiatry that considers the feasibility and clinical utility of magnetic resonance imaging in first-episode psychosis.
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Samei Huda steps into George Clooney’s shoes to discuss baseline striatal functional connectivity as a predictor of response to antipsychotic drug treatment.
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Does a mouse think like a human? Does a cat? Does a macaque monkey? These are fascinating questions to ask on a philosophical level, but they are also of immense practical importance. Current regulations on drug development mean that animal research plays a huge role in deciding what substances might be safe and beneficial to humans. [read the full story…]
At the start of using neuroimaging to try and understand mental health problems, the focus was on a specific area of the brain that might be different. As the methods have become more sophisticated, the ability to look at how different areas of the brain are linked into functional networks has developed. Whilst damage to [read the full story…]
After recent posts delving off into dark woodlands of some methodologically challenging brain imaging studies, we are coming back to a more simple idea: repeatedly scanning the same people from before they develop a disorder through to receiving a diagnosis. What is different about this study is that it was done with infants aged 6-36 [read the full story…]
