Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
批准号:
10320061
负责人:
Olusola A. Ajilore
金额:
$62.77万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-03-01 至 2024-12-31
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 symptommultimodal neuroimagingnetwork dysfunctionneuroimagingnovelprocessing speedprospectivescreeningtreatment responsevirtualwhite matter
中文摘要
项目摘要
心境障碍背景下的认知功能障碍与较差的治疗反应有关
并且是缓解后复发的关键危险因素。因此,准确、客观地评估认知
在情绪障碍患者中的功能是最重要的临床用途。这项研究将使用一本小说
智能手机技术(“BiAffect”),使用打字动力学和电机运动学,
被动地监测患有情绪障碍的跨诊断样本的认知功能,
(单相抑郁、I/II型双相情感障碍、心境恶劣)。BiAffect的核心技术是一种定制的
智能手机虚拟键盘,取代本地默认键盘,允许收集实时数据
具有真实的和潜在的临床相关性,而个体在其自然的
环境BiAffect将用于样本中,以预测1)与以下相关的改变的大脑网络特性:
心境障碍中的认知功能障碍和2)临床心境症状的前瞻性变化,
跨诊断样本的参与者与情绪障碍。
英文摘要
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.
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会议论文
Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics
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负责人:Olusola A. Ajilore
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依托单位:
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海外基金