Frontiers and advances in neuroimaging statistical modeling methods

REN Peng; JIANG Yuchao; YOU Jia; CHENG Wei

doi:10.19732/j.cnki.2096-6210.2024.02.004

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Frontiers and advances in neuroimaging statistical modeling methods

更新时间：2025-12-15

- Frontiers and advances in neuroimaging statistical modeling methods
- Vol. 33, Issue 2, Pages: 121-126(2024)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2024.02.004
  CLC：
- Published Online：10 May 2024，
  
  Published：10 May 2024
- 稿件说明：
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任鹏,蒋宇超,尤佳,等. 神经影像统计建模方法前沿与进展[J]. 肿瘤影像学, 2024, 33(2): 121-126 https://doi.

org/10.19732/j.cnki.2096-6210.2024.02.004
任鹏,蒋宇超,尤佳,等. 神经影像统计建模方法前沿与进展[J]. 肿瘤影像学, 2024, 33(2): 121-126 https://doi. DOI： 10.19732/j.cnki.2096-6210.2024.02.004.

org/10.19732/j.cnki.2096-6210.2024.02.004 DOI：

摘要

神经影像统计建模是神经科学和医学领域的一个关键分支，本文对近年来神经影像统计建模领域的重要方法学进展进行述评。首先，本文介绍了认知解码模型，重点讨论了如何利用正交分解方法和表征相似性分析来解析神经影像数据中潜在的认知加工过程。其次，本文探讨了神经影像个体化建模方法，包括规范性建模和个体脑功能剖分，以及它们在精神疾病研究中的应用。随后，本文讨论了数据驱动的疾病进展模型，阐述了如何利用机器学习和统计学工具推断出疾病生物标志物随时间而变化的进展模式，以及该方法在神经退行性疾病等领域的应用。最后，本文分析了基于人工智能的神经影像建模方法及其在神经影像领域中的应用。

Abstract

Neuroimaging statistical modeling is a critical branch in the fields of neuroscience and medicine. This article provided an overview of recent methodological advances in neuroimaging statistical models. Firstly

the article introduced cognitive decoding models

focusing on how orthogonal decomposition methods and representational similarity analysis can be used to resolve the underlying cognitive processes in neuroimaging data. Secondly

the article discussed methods for individualized neuroimaging modeling

including normative modeling and individual brain functional parcellation

along with their applications in psychiatric research. Subsequently

the article explored data-driven disease progression models

elucidating how machine learning and statistical tools can be utilized to infer the progression patterns of disease biomarkers over time

and their applications in fields such asneurodegenerative diseases. Finally

the article reviewed artificial intelligence-based neuroimaging modeling methods

along with their applications in neuroimaging analysis.

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Related Institution

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Department of Ultrasound, Shanghai Punan Hospital of Pudong New District

Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University

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