The California Cognitive Assessment Battery (CCAB).
The California Cognitive Assessment Battery (CCAB).
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DOI：
10.3389/fnhum.2023.1305529
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发表时间：
2023
影响因子：
2.9
通讯作者：
Baldo, Juliana
中科院分区：
文献类型：
--
作者：
Woods, David;Pebler, Peter;Johnson, David K.;Herron, Timothy;Hall, Kat;Blank, Mike;Geraci, Kristi;Williams, Garrett;Chok, Jas;Lwi, Sandy;Curran, Brian;Schendel, Krista;Spinelli, Maria;Baldo, Juliana
关键词：
我们正在开发加州认知评估组合（CCAB），为因成本、容量、移动性和交通障碍而无法进行测试的患者提供神经心理学评估。CCAB由15个非语言和17个语言子测试组成，用于远程医疗评估。CCAB在实验室或参与者家中通过蜂窝或Wi-Fi连接在校准的平板电脑上运行。口头指令和口头刺激通过耳机使用自然主义的文本到语音的声音传递。言语响应会进行真实的评分，并使用共识自动语音识别进行离线记录和转录，该识别结合了七个商业ASR引擎的转录，生成比任何单个ASR引擎更准确的带时间戳的转录。CCAB是专为监督自我管理使用网络浏览器应用程序，审查员。检查员允许检查员记录观察结果，真实的时间查看子测试性能，启动视频聊天，并纠正潜在的错误条件（例如，培训和性能故障等）多个参与者同时参与。在这里，我们描述了（1）CCAB在老年（50至89岁）参与者中的可用性;（2）基于415名老年参与者的规范性数据的CCAB心理测量特性;（3）家庭与实验室CCAB测试结果的比较;（4）我们还对COVID-19感染对性能的影响进行了初步分析。CCAB子测试的平均z分数显示，在排除年龄、教育和性别（AEG）的影响后，COVID+参与者的表现比COVID-参与者受损。然而，当使用综合模型分析性能时，队列间差异不再显著，该模型排除了区分COVID+和COVID-队列的其他预先存在的人口统计学因素的影响（例如，词汇、抑郁、种族等）。相比之下，与AEG评分不同，综合评分与COVID感染的严重程度显著相关。(5)最后，我们发现评分模型影响了轻度认知障碍（MCI，z分数< -1.50）个体参与者的分类，其中综合模型的方差是AEG模型的两倍多，并减少了MCI分类中的种族偏见。CCAB承诺为服务不足的城市，郊区和农村人口提供可扩展的实验室质量的神经诊断评估。
We are developing the California Cognitive Assessment Battery (CCAB) to provide neuropsychological assessments to patients who lack test access due to cost, capacity, mobility, and transportation barriers. The CCAB consists of 15 non-verbal and 17 verbal subtests normed for telemedical assessment. The CCAB runs on calibrated tablet computers over cellular or Wi-Fi connections either in a laboratory or in participants’ homes. Spoken instructions and verbal stimuli are delivered through headphones using naturalistic text-to-speech voices. Verbal responses are scored in real time and recorded and transcribed offline using consensus automatic speech recognition which combines the transcripts from seven commercial ASR engines to produce timestamped transcripts more accurate than those of any single ASR engine. The CCAB is designed for supervised self-administration using a web-browser application, the Examiner. The Examiner permits examiners to record observations, view subtest performance in real time, initiate video chats, and correct potential error conditions (e.g., training and performance failures, etc.,) for multiple participants concurrently. Here we describe (1) CCAB usability with older (ages 50 to 89) participants; (2) CCAB psychometric properties based on normative data from 415 older participants; (3) Comparisons of the results of at-home vs. in-lab CCAB testing; (4) We also present preliminary analyses of the effects of COVID-19 infection on performance. Mean z-scores averaged over CCAB subtests showed impaired performance of COVID+ compared to COVID- participants after factoring out the contributions of Age, Education, and Gender (AEG). However, inter-cohort differences were no longer significant when performance was analyzed with a comprehensive model that factored out the influences of additional pre-existing demographic factors that distinguished COVID+ and COVID- cohorts (e.g., vocabulary, depression, race, etc.,). In contrast, unlike AEG scores, comprehensive scores correlated significantly with the severity of COVID infection. (5) Finally, we found that scoring models influenced the classification of individual participants with Mild Cognitive Impairment (MCI, z-scores < –1.50) where the comprehensive model accounted for more than twice as much variance as the AEG model and reduced racial bias in MCI classification. The CCAB holds the promise of providing scalable laboratory-quality neurodiagnostic assessments to underserved urban, exurban, and rural populations.
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DOI：
10.1080/13854046.2018.1484518
发表时间：
2019-04
期刊：
The Clinical neuropsychologist
影响因子：
--
作者：
Duff K;Suhrie KR;Dalley BCA;Anderson JS;Hoffman JM
通讯作者：
Hoffman JM
影响因子：
3.9
作者：
Kurniadi, Natalie E.;Davis, Jeremy J.
通讯作者：
Davis, Jeremy J.
DOI：
10.1002/alz.12773
发表时间：
2023-03
期刊：
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子：
--
作者：
Jutten RJ;Papp KV;Hendrix S;Ellison N;Langbaum JB;Donohue MC;Hassenstab J;Maruff P;Rentz DM;Harrison J;Cummings J;Scheltens P;Sikkes SAM
通讯作者：
Sikkes SAM
影响因子：
2.4
作者：
Killion, MC;Niquette, PA;Banerjee, S
通讯作者：
Banerjee, S
影响因子：
5.4
作者：
Plant, Richard R.
通讯作者：
Plant, Richard R.