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DANIEL BARRON

SCIENCE WRITING

PAIN MEDICINE

PSYCHIATRY

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

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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?

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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.

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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.

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)

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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