The time Anna stayed up all night

Almost precisely a decade ago, a young Atlanta lawyer named Anna was returning to work, after being treated for an extraordinary sleep disorder. Her story has been told here at Emory and by national media outlets. Fast forward a decade to Idiopathic Hypersomnia Awareness Week 2018 (September 3-9), organized by Hypersomnolence Australia. What this post deals with is essentially the correction of a date at the tail end of Anna’s story, but one with long-term implications Read more

Mini-monsters of cardiac regeneration

Jinhu Wang’s lab is not producing giant monsters. They are making fish with fluorescent hearts. Lots of cool Read more

Why is it so hard to do good science?

Last week, Lab Land put out a Twitter poll, touching on the cognitive distortions that make it difficult to do high-quality science. Lots of people (almost 50) responded! Thank you! We had to be vague about where all this came from, because it was before the publication of the underlying research paper. Ray Dingledine, in Emory’s Department of Pharmacology, asked us to do the Twitter poll first, to see what answers people would give. Dingledine’s Read more

psychiatric disorders

Big data with heart, for psychiatric disorders

Imagine someone undergoing treatment by a psychiatrist. How do we know the treatment is really working or should be modified?

To assess whether the patient’s condition is objectively improving, the doctor could ask him or her to take home a heart rate monitor and wear it continuously for 24 hours. An app connected to the monitor could then track how much the patient’s heart rate varies over time and how much the patient moves.

Heart rate variability can be used to monitor psychiatric disorders

MD/PhD student Erik Reinertsen is the first author on two papers in Physiological Measurement advancing this approach, working under the supervision of Gari Clifford, interim chair of Emory’s Department of Biomedical Informatics.

Clifford’s team has been evaluating heart rate variability and activity as a tool for monitoring both PTSD (post-traumatic stress disorder) and schizophrenia. Clifford says his team’s research is expanding to look at treatment-resistant depression and other mental health issues.

For clinical applications, Clifford emphasizes that his plans focus on tracking disease severity for patients who are already diagnosed, rather than screening for new diagnoses. His team is involved in much larger studies in which heart rate data is being combined with physical activity data from smart watches, body patches, and clinical questionnaires, as well as other behavioral and exposure data collected through smartphone usage patterns.

Intuitively, heart rate variability makes sense for monitoring PTSD, because one of the core symptoms is hyperarousal, along with flashbacks and avoidance or numbness. However, it turns out that the time that provides the most information is when heart rate is lowest and study participants are most likely asleep, or at their lowest ebb during the night.

Home sleep tests generate a ton of information, which can be mined. This approach also fits into a trend for wearable medical technology, recently highlighted in STAT by Max Blau (subscription needed).

The research on PTSD monitoring grows out of work by cardiologists Amit Shah and Viola Vaccarino on heart rate variability in PTSD-discordant twin veterans (2013 Biological Psychiatry paper). Shah and Vaccarino had found that low frequency heart rate variability is much less (49 percent less) in the twin with PTSD. Genetics influences heart rate variability quite a bit, so studying twins allows those factors to be accounted for. Read more

Posted on by Quinn Eastman in Heart, Neuro Leave a comment