TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry.
TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry.
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DOI：
10.3389/fpsyt.2021.680811
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发表时间：
2021
影响因子：
4.7
通讯作者：
Stephan KE
中科院分区：
文献类型：
--
作者：
Frässle S;Aponte EA;Bollmann S;Brodersen KH;Do CT;Harrison OK;Harrison SJ;Heinzle J;Iglesias S;Kasper L;Lomakina EI;Mathys C;Müller-Schrader M;Pereira I;Petzschner FH;Raman S;Schöbi D;Toussaint B;Weber LA;Yao Y;Stephan KE
精神病学面临的基本挑战与机械引导的鉴别诊断，以及预测的临床轨迹和治疗反应的个别病人。这激发了两个紧密交织的领域的起源：（i）翻译神经建模（TN），其开发用于从神经成像，电生理和行为数据推断患者特定疾病过程的“计算测定”;和（ii）计算精神病学（CP），其目标是将计算测定纳入日常实践中的临床决策。为了作为临床常规的客观和可靠的工具，计算分析需要从原始数据（输入）到临床有用信息（输出）的端到端管道。虽然这些尚未在临床实践中建立，但正在开发这种通用端到端管道的各个组件，并公开提供给社区使用。在本文中，我们提出了翻译算法的精神病学推进科学（TAPAS）软件包，一个开源的收集积木的计算分析在精神病学。总的来说，TAPAS中的工具目前涵盖了所需端到端管道的几个重要方面，包括：（i）在数据采集之前定制实验设计和优化测量策略，（ii）数据采集期间的质量控制，以及（iii）数据采集后的伪影校正，统计推断和临床应用。在这里，我们回顾了TAPAS中的不同工具，并说明这些工具如何帮助更深入地了解疾病的神经和认知机制，最终目标是建立自动化管道来预测个体患者。我们希望TAPAS中公开可用的工具将有助于TN/CP的进一步发展，并促进将计算神经科学的进展转化为临床相关的计算分析。
Psychiatry faces fundamental challenges with regard to mechanistically guided differential diagnosis, as well as prediction of clinical trajectories and treatment response of individual patients. This has motivated the genesis of two closely intertwined fields: (i) Translational Neuromodeling (TN), which develops “computational assays” for inferring patient-specific disease processes from neuroimaging, electrophysiological, and behavioral data; and (ii) Computational Psychiatry (CP), with the goal of incorporating computational assays into clinical decision making in everyday practice. In order to serve as objective and reliable tools for clinical routine, computational assays require end-to-end pipelines from raw data (input) to clinically useful information (output). While these are yet to be established in clinical practice, individual components of this general end-to-end pipeline are being developed and made openly available for community use. In this paper, we present the Translational Algorithms for Psychiatry-Advancing Science (TAPAS) software package, an open-source collection of building blocks for computational assays in psychiatry. Collectively, the tools in TAPAS presently cover several important aspects of the desired end-to-end pipeline, including: (i) tailored experimental designs and optimization of measurement strategy prior to data acquisition, (ii) quality control during data acquisition, and (iii) artifact correction, statistical inference, and clinical application after data acquisition. Here, we review the different tools within TAPAS and illustrate how these may help provide a deeper understanding of neural and cognitive mechanisms of disease, with the ultimate goal of establishing automatized pipelines for predictions about individual patients. We hope that the openly available tools in TAPAS will contribute to the further development of TN/CP and facilitate the translation of advances in computational neuroscience into clinically relevant computational assays.
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影响因子：
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作者：
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