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Peter C. Whybrow

Researcher at Semel Institute for Neuroscience and Human Behavior

Publications -  183
Citations -  10544

Peter C. Whybrow is an academic researcher from Semel Institute for Neuroscience and Human Behavior. The author has contributed to research in topics: Bipolar disorder & Mood. The author has an hindex of 47, co-authored 176 publications receiving 9643 citations. Previous affiliations of Peter C. Whybrow include University of Pennsylvania & University of California, Los Angeles.

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Do antidepressants influence mood patterns? A naturalistic study in bipolar disorder

TL;DR: Patients with bipolar disorder who were taking antidepressants—overwhelmingly not tricyclics and with a concurrent mood stabilizer—did not experience an increase in the rate of switches to mania or rapid cycling compared to those not taking antidepressants.
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Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis

TL;DR: Comparing the network properties of whole-brain structural connectomes of euthymic PBD patients with psychosis, a variant of PBD, and matched healthy controls reveals that PBD with psychosis is associated with significant widespread changes in structural network topology, thus strengthening the hypothesis of a reduced capacity for integrative processing of information across brain regions.
Journal Article

Does the use of an automated tool for self-reporting mood by patients with bipolar disorder bias the collected data?

TL;DR: Results from studies of patients using ChronoRecord software on a home computer to report mood can be generalized, as with studies using paper-based self-reporting, as the use of a computer does not seem to bias sample data.
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Increasing Cybercrime Since the Pandemic: Concerns for Psychiatry.

TL;DR: In this article, a narrative review examines the changing use of technology, societal impacts of the pandemic, how cybercrime is evolving, individual vulnerabilities to cybercrime, and special concerns for those with mental illness.
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Comparison of sleep/wake parameters for self-monitoring bipolar disorder.

TL;DR: This analysis further investigated whether sleep duration, sleep onset or sleep offset was the most useful sleep/wake parameter to monitor for an oncoming mood change and recommended self-monitoring of sleep duration for patients with bipolar disorder.