Brain Morphometry Normative Modeling—Omit Global Thickness
Author:
Affiliation:
1. Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco
Publisher
American Medical Association (AMA)
Link
https://jamanetwork.com/journals/jamapsychiatry/articlepdf/2820773/jamapsychiatry_hua_2024_le_240007_1721838768.57262.pdf
Reference5 articles.
1. Normative modeling of brain morphometry in clinical high risk for psychosis.;Haas;JAMA Psychiatry,2024
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3. Inferring pathobiology from structural MRI in schizophrenia and bipolar disorder: modeling head motion and neuroanatomical specificity.;Yao;Hum Brain Mapp,2017
4. Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 control subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) consortium.;van Erp;Biol Psychiatry,2018
5. Ge? R, Yu? Y, Qi? YX, . Normative modeling of brain morphometry across the lifespan using CentileBrain: algorithm benchmarking and model optimization.? bioRxiv? 2023:2023.01.30.523509. doi:10.1101/2023.01.30.523509
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Adjustment of Regional Cortical Thickness Measures for Global Cortical Thickness Obscures Deficits Across the Schizophrenia Spectrum: A Cautionary Note About Normative Modeling of Brain Imaging Data;Biological Psychiatry: Cognitive Neuroscience and Neuroimaging;2024-06
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