DANIEL BARRON
DANIEL BARRON
SCIENCE WRITING
PAIN MEDICINE
PSYCHIATRY
DANIEL BARRON
Daniel Barron is a board-certified psychiatrist and pain physician. He completed his medical training and psychiatry residency at Yale University and is currently a Pain Medicine fellow at University of Washington, where he explores multi-modal pain treatment. He is a frequent contributor to Scientific American and author of Reading Our Minds: The Rise of Big Data Psychiatry.
SCIENCE WRITING
PAIN MEDICINE
CLINICAL RESEARCH
NEW RELEASE
Reading Our Minds:
The Rise of Big Data Psychiatry
Columbia Global Reports (April 20, 2021)
What, exactly, is psychiatry? How do psychiatrists diagnose a patient’s mental disorders? The mental status exam is the bedrock of psychiatric clinical assessment, and it begins with, “Can you help me understand what’s going on?” But the mental status exam relies on a patient’s self-reporting and and a doctor’s subjective judgment. Lab results, blood tests, and physical exam measures heralded the Big Data approach to medicine decades ago. It is time that psychiatry undergoes the same transformation.
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PATIENT CARE & RESEARCH
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ONGOING STUDIES
Back Pain and Psychiatric Care
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Beyond Medication: Pain and Music
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PAIN CLINIC
Health Care Workers Don't Want to Be Heroes
Scientific American, June 21, 2020
We’re forced to fill that role because our government has failed to mount an adequate response to COVID-19.
When Chronic Pain Leads to a Dangerous Addiction
Scientific American, June 21, 2020
Can clinicians help their patients even in the absence of certainty?
Has Telemedicine's Day Finally Come?
Scientific American, March 21, 2020
With the arrival of the COVID-19 pandemic, remote medical consultation seems like a no-brainer—but it’s not that simple.
Psychiatry's Inevitable Hubris
Scientific American, May 8, 2019
Can clinicians help their patients even in the absence of certainty?
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SCHOLARLY
PUBLICATIONS
Salehi M, Karbasi A, Barron DS, Scheinost D, Constable RT (2020). State-specific individualized functional networks form a predictive signature of brain state. Neuroimage, 206: 116233.
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Makary MM, Polosecki P, Cecchi GA, DeAraujo IE, Barron DS, Constable TR, Whang PG, Thomas DA, Mowafi H,
Small DM, Geha P (2020). Loss of nucleus accumbens low-frequency fluctuations is a signature of chronic pain. Proceedings of the National Academy of Sciences, 117: 18, 10015-10023
Barron DS, Gao S, Dadashkarimi J, Green AS, Span MN, Noble S, Lake E, Krystal J, Constable RT, Scheinost D. Task-Based Functional Connectomes Predict Phenotypic Traits Across Psychiatric Diagnosis. Posted on bioRxiv: https://www.biorxiv.org/content/biorxiv/early/2019/05/16/638825.full.pdf In review, Cerebral Cortex (10/2020)
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Barron D, Heisig S, Norel R, Agurto C, Quagan B, Powers A, et al. (2020): Preliminary Phenotypic Feature Capture During Clinical Interaction. Biol Psychiat 87: S212–S213. (Formal manuscript in preparation)
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