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Editor’s Selections: Computer as Therapist, Nicotine and Body-Mass, and Another DSM-5 Proposal – Gambling Addiction

Here are my Research Blogging Editor’s Selections for this week. To start us off this week, Neuroskeptic discusses a new study that attempted to use a computer to translate therapists’ notes into psychiatric diagnoses.

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Here are my Research Blogging Editor's Selections for this week.

  • To start us off this week, Neuroskeptic discusses a new study that attempted to use a computer to translate therapists' notes into psychiatric diagnoses. Could it be that certain language used by therapists or their clients could predict the severity or duration of a mental illness? The study has problems, but it's an interesting idea to consider, more generally. Machine-Readable Psychiatry.

  • It is well known, according to Daniel Ocampo Daza of the Ego Sum Daniel blog, that "smokers tend to have a lower body-mass than non-smokers, and that smokers who quit have a tendency to gain weight." Until recently, the mechanism behind the relationship of body-mass and nicotine addiction was unknown, but some new studies shed some light. Nicotine, Appetite, and the Brain.

  • Here's the next in our continuing coverage of new proposals for DSM-5. Dirk Hanson at Addiction Inbox discusses the proposal for the inclusion of a "problem gambling" diagnosis.

That's it for this week... Check back next week for more great psychology and neuroscience blogging!

Jason G. Goldman is a science journalist based in Los Angeles. He has written about animal behavior, wildlife biology, conservation, and ecology for Scientific American, Los Angeles magazine, the Washington Post, the Guardian, the BBC, Conservation magazine, and elsewhere. He contributes to Scientific American's "60-Second Science" podcast, and is co-editor of Science Blogging: The Essential Guide (Yale University Press). He enjoys sharing his wildlife knowledge on television and on the radio, and often speaks to the public about wildlife and science communication.

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