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TDBRAIN 数据库,二十年脑临床研究档案,洞察神经生理学。

The two decades brainclinics research archive for insights in neurophysiology (TDBRAIN) database.

机构信息

Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands.

Faculty of Psychology & Neuroscience, Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands.

出版信息

Sci Data. 2022 Jun 14;9(1):333. doi: 10.1038/s41597-022-01409-z.

DOI:10.1038/s41597-022-01409-z
PMID:35701407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9198070/
Abstract

In neuroscience, electroencephalography (EEG) data is often used to extract features (biomarkers) to identify neurological or psychiatric dysfunction or to predict treatment response. At the same time neuroscience is becoming more data-driven, made possible by computational advances. In support of biomarker development and methodologies such as training Artificial Intelligent (AI) networks we present the extensive Two Decades-Brainclinics Research Archive for Insights in Neurophysiology (TDBRAIN) EEG database. This clinical lifespan database (5-89 years) contains resting-state, raw EEG-data complemented with relevant clinical and demographic data of a heterogenous collection of 1274 psychiatric patients collected between 2001 to 2021. Main indications included are Major Depressive Disorder (MDD; N = 426), attention deficit hyperactivity disorder (ADHD; N = 271), Subjective Memory Complaints (SMC: N = 119) and obsessive-compulsive disorder (OCD; N = 75). Demographic-, personality- and day of measurement data are included in the database. Thirty percent of clinical and treatment outcome data will remain blinded for prospective validation and replication purposes. The TDBRAIN database and code are available on the Brainclinics Foundation website at www.brainclinics.com/resources and on Synapse at www.synapse.org/TDBRAIN .

摘要

在神经科学中,脑电图 (EEG) 数据通常用于提取特征(生物标志物)以识别神经或精神功能障碍,或预测治疗反应。与此同时,神经科学变得越来越依赖于数据,这得益于计算技术的进步。为了支持生物标志物的开发和人工智能 (AI) 网络等方法,我们提出了广泛的二十年脑临床研究档案,用于神经生理学洞察(TDBRAIN)EEG 数据库。这个临床寿命数据库(5-89 岁)包含静息状态、原始 EEG 数据,并补充了 1274 名精神科患者的相关临床和人口统计学数据,这些患者是在 2001 年至 2021 年间收集的。主要的适应症包括重度抑郁症(MDD;N=426)、注意力缺陷多动障碍(ADHD;N=271)、主观记忆抱怨(SMC:N=119)和强迫症(OCD;N=75)。数据库中包括人口统计学、人格和测量日数据。为了前瞻性验证和复制的目的,30%的临床和治疗结果数据将保持盲态。TDBRAIN 数据库和代码可在 Brainclinics 基金会的网站 www.brainclinics.com/resources 上以及 Synapse 上 www.synapse.org/TDBRAIN 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/233b198937b4/41597_2022_1409_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/d2d787af3850/41597_2022_1409_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/2efe25f878ec/41597_2022_1409_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/45e6ba52966d/41597_2022_1409_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/d156c1b3f8df/41597_2022_1409_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/b1d36a1f1510/41597_2022_1409_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/233b198937b4/41597_2022_1409_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/d2d787af3850/41597_2022_1409_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/2efe25f878ec/41597_2022_1409_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/45e6ba52966d/41597_2022_1409_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/d156c1b3f8df/41597_2022_1409_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/b1d36a1f1510/41597_2022_1409_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de42/9198070/233b198937b4/41597_2022_1409_Fig6_HTML.jpg

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