even Sally Hawkins can’t make paranoid schizophrenia funny

Dir: Craig Roberts. Cast: Sally Hawkins, David Thewlis, Billie Piper, Penelope Wilton, Alice Lowe, Morfydd Clark, Robert Pugh. 15 cert, 94 min

Eternal Beauty is full of extremely talented people who aren’t quite sure what they’re doing. This dark comedy about depression – or put in another light, about a very British form of bottomless misery – cycles through an awful lot of tones and gimmicks. It’s as apt to remind you of Ingmar Bergman’s Cries and Whispers, or Roman Polanski’s Repulsion, as anything strictly funny – ambitious reference points, at the very least, for its young writer-director Craig Roberts, best-known for his lead role in Richard Ayoade’s Submarine (2010).

Roberts made his directing debut at a mere 24 years old, with the coming-of-age flick Just Jim (2015), and here rolls his sleeves up with a close-to-impossible assignment: giving us a brightly-coloured indie take on paranoid schizophrenia. He’s also wrangling

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Computer model explains altered decision making in schizophrenia

Credit: Pixabay/CC0 Public Domain

Scientists have built a computer ‘brain circuit’, or artificial neural network, that mirrors human decision-making processes and sheds light on how circuits might be altered in psychiatric diseases, a new study published today in eLife reports.

The model identifies a potential mechanism for the impaired decision making that is commonly seen in schizophrenia, involving the reduced activity of molecules in the brain called NDMA receptors. These results provide new insight that may inform the development of future treatments for neuropsychiatric conditions.

“A major challenge in psychiatry is to relate changes that occur at nerve synapses in the brain to the cognitive processes that cause symptoms of disorders such as schizophrenia,” explains lead author Dr. Sean Cavanagh, who is an MBPhD student at the UCL Queen Square Institute of Neurology, London, UK. “Computational modeling of brain circuits can fill in these gaps. By altering the circuit model

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