Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

A Nunes; HG Schnack; CRK Ching; I Agartz; TN Akudjedu; M Alda; Neeltje van Haren

doi:10.1038/s41380-018-0228-9

Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

A Nunes, HG Schnack, CRK Ching, I Agartz, TN Akudjedu, M Alda, Neeltje van Haren

Child and Adolescent Psychiatry / Psychology

Research output: Contribution to journal › Article › Academic › peer-review

94 Citations (Scopus)

15 Downloads (Pure)

Original language	English
Pages (from-to)	2130-2143
Number of pages	14
Journal	Molecular Psychiatry
Volume	25
Issue number	9
DOIs	https://doi.org/10.1038/s41380-018-0228-9
Publication status	Published - 2020

Research programs

EMC OR-01

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10.1038/s41380-018-0228-9

REPUB_110350-OA.pdfFinal published version, 2.91 MB

Cite this

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title = "Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group",

author = "A Nunes and HG Schnack and CRK Ching and I Agartz and TN Akudjedu and M Alda and {van Haren}, Neeltje",

year = "2020",

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AU - Nunes, A

AU - Schnack, HG

AU - Ching, CRK

AU - Agartz, I

AU - Akudjedu, TN

AU - Alda, M

AU - van Haren, Neeltje

PY - 2020

Y1 - 2020

U2 - 10.1038/s41380-018-0228-9

DO - 10.1038/s41380-018-0228-9

M3 - Article

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SN - 1359-4184

VL - 25

SP - 2130

EP - 2143

JO - Molecular Psychiatry

JF - Molecular Psychiatry

IS - 9

ER -