利用磁共振成像（MRI）评估心理健康未来结果风险的进展——我们能实现吗？ - Suppr

Advances in Using MRI to Estimate the Risk of Future Outcomes in Mental Health - Are We Getting There?

作者信息

Solanes Aleix, Radua Joaquim

机构信息

Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.

Department of Psychiatry and Forensic Medicine, School of Medicine, Autonomous University of Barcelona, Barcelona, Spain.

出版信息

Front Psychiatry. 2022 Apr 12;13. doi: 10.3389/fpsyt.2022.826111. eCollection 2022.

DOI:10.3389/fpsyt.2022.826111

PMID:35492715

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9039205/

Abstract

摘要

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ba1/9039205/58c0894d1554/fpsyt-13-826111-g001.jpg

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Advances in Using MRI to Estimate the Risk of Future Outcomes in Mental Health - Are We Getting There?

作者信息

Solanes Aleix, Radua Joaquim

机构信息

Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.

Department of Psychiatry and Forensic Medicine, School of Medicine, Autonomous University of Barcelona, Barcelona, Spain.

出版信息

Front Psychiatry. 2022 Apr 12;13. doi: 10.3389/fpsyt.2022.826111. eCollection 2022.

DOI:10.3389/fpsyt.2022.826111

PMID:35492715

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9039205/

Abstract

摘要

相似文献

Advances in Using MRI to Estimate the Risk of Future Outcomes in Mental Health - Are We Getting There?

Front Psychiatry. 2022 Apr 12;13. doi: 10.3389/fpsyt.2022.826111. eCollection 2022.

Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.

Neuroimage. 2018 Dec;183:401-411. doi: 10.1016/j.neuroimage.2018.08.040. Epub 2018 Aug 18.

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Adv Exp Med Biol. 2021;1305:57-69. doi: 10.1007/978-981-33-6044-0_4.

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Bipolar Disord. 2020 Jun;22(4):334-355. doi: 10.1111/bdi.12895. Epub 2020 Mar 20.

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Schizophr Res. 2022 May;243:330-341. doi: 10.1016/j.schres.2021.06.011. Epub 2021 Jun 28.

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Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Sep;3(9):798-808. doi: 10.1016/j.bpsc.2018.04.004. Epub 2018 Apr 22.

Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.

J Clin Neurosci. 2021 Jul;89:177-198. doi: 10.1016/j.jocn.2021.04.043. Epub 2021 May 13.

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J Neurosci Methods. 2017 Jan 30;276:46-55. doi: 10.1016/j.jneumeth.2016.11.005. Epub 2016 Nov 17.

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Mol Psychiatry. 2021 Jan;26(1):23-25. doi: 10.1038/s41380-020-00931-z. Epub 2020 Nov 10.

引用本文的文献

Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia?

Schizophrenia (Heidelb). 2025 Feb 28;11(1):32. doi: 10.1038/s41537-025-00583-4.

本文引用的文献

Discriminative Analysis of Schizophrenia Patients Using Topological Properties of Structural and Functional Brain Networks: A Multimodal Magnetic Resonance Imaging Study.

Front Neurosci. 2022 Jan 11;15:785595. doi: 10.3389/fnins.2021.785595. eCollection 2021.

Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials.

Schizophr Bull. 2022 Mar 1;48(2):425-436. doi: 10.1093/schbul/sbab134.

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Sensors (Basel). 2021 Nov 12;21(22):7528. doi: 10.3390/s21227528.

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Comput Biol Med. 2021 Sep;136:104697. doi: 10.1016/j.compbiomed.2021.104697. Epub 2021 Jul 31.

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Brain Imaging Behav. 2022 Feb;16(1):281-290. doi: 10.1007/s11682-021-00501-z. Epub 2021 Jul 27.

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Int J Environ Res Public Health. 2021 Jun 5;18(11):6099. doi: 10.3390/ijerph18116099.

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Eur Neuropsychopharmacol. 2021 Sep;50:115-117. doi: 10.1016/j.euroneuro.2021.05.006. Epub 2021 Jun 8.

Biased accuracy in multisite machine-learning studies due to incomplete removal of the effects of the site.

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Mol Psychiatry. 2022 Jan;27(1):281-295. doi: 10.1038/s41380-021-01161-7. Epub 2021 Jun 2.

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Psychiatry Res Neuroimaging. 2021 Jul 30;313:111303. doi: 10.1016/j.pscychresns.2021.111303. Epub 2021 May 16.

Advances in Using MRI to Estimate the Risk of Future Outcomes in Mental Health - Are We Getting There?

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