Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
基本信息
- 批准号:10115131
- 负责人:
- 金额:$ 57.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-03-01 至 2024-12-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAffective SymptomsAppleAttentionBiological MarkersBipolar DisorderBrainCellular PhoneClinicalClinical assessmentsCognitionCognitiveCollectionConsumptionCustomDataDevicesDiffusionDiseaseDisease remissionDysthymic DisorderEcological momentary assessmentEnvironmentFinancial costFunctional ImagingHealth Care CostsImageImpaired cognitionImpairmentImprove AccessIndividualLinkLiteratureManicMeasuresMediatingMethodsMonitorMood DisordersMoodsMotorNeuropsychological TestsNodalOutcomeParticipantPatientsPilot ProjectsPropertyRecurrenceResearchRestRisk FactorsSamplingSecureStructureSymptomsTabletsTechnologyTimeUnipolar DepressionUnited Statesassociated symptombaseclinically relevantcognitive functioncomputer human interactioncost effectivedepressive symptomsevidence basehandheld mobile deviceinterestkinematicsmood symptommultimodalitynetwork dysfunctionneuroimagingnovelprocessing speedprospectivescreeningtreatment responsevirtualwhite matter
项目摘要
PROJECT SUMMARY
Cognitive dysfunction in the context of mood disorders has been associated with poorer treatment response
and is a key risk factor for recurrence after remission. Thus, accurate, objective assessment of cognitive
function in patients with mood disorders is of paramount clinical utility. The proposed study will use a novel
smartphone technology (“BiAffect”) that uses typing dynamics and motor kinematics to unobtrusively, securely,
and passively monitor cognitive function in a transdiagnostic sample of participants with mood disorders
(unipolar depression, bipolar disorder type I/II, dysthymia). The core technology of BiAffect is a custom-built
smartphone virtual keyboard that replaces the native default keyboard, allowing the collection of real-time data
of real and potential clinical relevance while individuals interact with their device as usual within their natural
environment. BiAffect will be used in the sample to predict 1) altered brain network properties associated with
cognitive dysfunction in mood disorders and 2) prospective changes in clinical mood symptoms in a
transdiagnostic sample of participants with mood disorders.
项目概要
情绪障碍背景下的认知功能障碍与较差的治疗反应有关
是缓解后复发的关键危险因素。因此,准确、客观的认知评估
情绪障碍患者的功能具有重要的临床实用性。拟议的研究将使用一种新颖的
智能手机技术(“BiAffect”)利用打字动力学和运动运动学,不显眼地、安全地、
并被动监测情绪障碍参与者的跨诊断样本的认知功能
(单相抑郁症、I/II 型双相情感障碍、心境恶劣)。 BiAffect的核心技术是定制的
智能手机虚拟键盘取代原生默认键盘,允许收集实时数据
当个人在其自然范围内像往常一样与设备进行交互时,具有真实和潜在的临床相关性
环境。 BiAffect 将在样本中用于预测 1) 与以下相关的大脑网络特性的改变
情绪障碍中的认知功能障碍以及 2) 临床情绪症状的前瞻性变化
患有情绪障碍的参与者的跨诊断样本。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Olusola A. Ajilore其他文献
When ChatGPT Met RDoC: Leveraging Artificial Intelligence to Bridge the Gap Between Data and Prognosis
当ChatGPT遇上研究领域标准(RDoC):利用人工智能弥合数据与预后之间的差距
- DOI:
10.1016/j.biopsych.2024.09.020 - 发表时间:
2024-12-15 - 期刊:
- 影响因子:9.000
- 作者:
Olusola A. Ajilore - 通讯作者:
Olusola A. Ajilore
Altered Effective Connectivity During Threat Anticipation in Individuals With Alcohol Use Disorder
酒精使用障碍患者在威胁预期期间的有效连接改变
- DOI:
10.1016/j.bpsc.2024.07.023 - 发表时间:
2025-02-01 - 期刊:
- 影响因子:4.800
- 作者:
Milena Radoman;K. Luan Phan;Olusola A. Ajilore;Stephanie M. Gorka - 通讯作者:
Stephanie M. Gorka
Olusola A. Ajilore的其他文献
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{{ truncateString('Olusola A. Ajilore', 18)}}的其他基金
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
- 批准号:
10406131 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
- 批准号:
10542659 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
3/3-Recurrence markers, cognitive burden and neurobiological homeostasis in late-life depression
3/3-晚年抑郁症的复发标记、认知负担和神经生物学稳态
- 批准号:
10532208 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
Study of a PST-Trained Voice-Enabled Artificial Intelligence Counselor (SPEAC) for Adults with Emotional Distress
针对患有情绪困扰的成年人的经过 PST 培训的语音人工智能咨询师 (SPEAC) 的研究
- 批准号:
10671735 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
Study of a PST-Trained Voice-Enabled Artificial Intelligence Counselor (SPEAC) for Adults with Emotional Distress
针对患有情绪困扰的成年人的经过 PST 培训的语音人工智能咨询师 (SPEAC) 的研究
- 批准号:
10611145 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
- 批准号:
10320061 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
使用键盘动力学对情感症状和认知进行不引人注目的监测
- 批准号:
9912649 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
Study of a PST-Trained Voice-Enabled Artificial Intelligence Counselor (SPEAC) for Adults with Emotional Distress
针对患有情绪困扰的成年人的经过 PST 培训的语音人工智能咨询师 (SPEAC) 的研究
- 批准号:
10031359 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
3/3-Recurrence markers, cognitive burden and neurobiological homeostasis in late-life depression
3/3-晚年抑郁症的复发标记、认知负担和神经生物学稳态
- 批准号:
10078636 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
3/3-Recurrence markers, cognitive burden and neurobiological homeostasis in late-life depression
3/3-晚年抑郁症的复发标记、认知负担和神经生物学稳态
- 批准号:
10304162 - 财政年份:2020
- 资助金额:
$ 57.94万 - 项目类别:
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