Social Working Memory: Neural Bases and Training
社会工作记忆:神经基础和训练
基本信息
- 批准号:8541647
- 负责人:
- 金额:$ 2.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-24 至 2014-06-14
- 项目状态:已结题
- 来源:
- 关键词:AddressAnxietyBase of the BrainBloodBrainCharacteristicsCognition DisordersCognitiveCognitive deficitsCompetenceDevelopmentDiseaseEducational InterventionEffectivenessFellowshipFriendsFunctional Magnetic Resonance ImagingFutureGoalsHumanIndividualIndividual DifferencesIntelligenceInterventionLeadLifeLinkMagnetic Resonance ImagingMeasuresMethodsMindNamesNational Research Service AwardsParticipantPatternPerformancePilot ProjectsPlasticsPopulationProcessRandomizedResearchSamplingScanningSchizophreniaShort-Term MemorySignal TransductionSocial InteractionSocial WorkStructureSystemTechniquesTestingThickTrainingWorkautism spectrum disorderbasedensitygray matterimprovedindexinginsightnovelpsychologicrelating to nervous systemresponsesocialsocial cognitionstandardize measuretrait
项目摘要
DESCRIPTION (provided by applicant): My overall research goals are to further understanding of 1) the brain mechanisms guiding human social intelligence, 2) how these mechanisms work in populations with social cognitive disorders, and 3) what aspects of these mechanisms are plastic and can be enhanced. Completion of the studies proposed in this NRSA would help me directly work towards these long-term goals. The primary objectives of the proposal are to test whether social working memory, which to date has been unexplored behaviorally and neurally, is a basic mechanism underlying social cognitive ability. Specific aim 1 is to examine the structural and functional neural correlates of social working memory and their association with social cognitive abilities. To address this aim, Study 1 uses A) functional MRI methods to measure blood oxygenated dependent (BOLD) signal in response to social working memory and cognitive working memory tasks B) structural MRI methods to measure how cortical thickness throughout the brain corresponds with functional activation during the working memory tasks and C) performance on a standardized measure of social cognitive ability to see how individual differences in social cognition correspond with functional and structural indices. Virtually no social cognitive neuroscientists are trained in structural analysis methods used in this proposal. Training in the cortical thickness analysis from co-sponsor Dr. Paul Thompson will be a huge benefit of receiving NRSA fellowship. Specific aim 2 is to determine whether social working memory training improves social cognitive ability. Study 2 achieves this aim with a neurally-inspired SWM training intervention. Participants in Study 2 will complete pre-training measures of social working memory and standardized social cognitive ability, a 12 day social working memory or control training intervention, and post-training measures of social working memory and standardized social cognitive ability. Many psychiatric conditions including autism spectrum disorder (ASD), schizophrenia, and social anxiety show dual or differential deficits in social cognition and cognitive working memory (Amir & Bomyea, 2011; Baron-Cohen et al., 1985; Couture et al., 2006; Dawson & Fernland, 1987; Goldman-Rakic, 1994; Pickup & Frith, 2001;), however no extant research has linked these two psychological processes. The proposed studies will offer insight as to how working memory and social cognition may interact behaviorally and neurally, which can lead to future hypotheses about how these systems may be impaired in disorders such as ASD, schizophrenia and/or social anxiety. Moreover, the interventions developed here could be used in individuals with these disorders to improve social cognitive ability.
描述(申请人提供):我的总体研究目标是进一步了解1)指导人类社会智力的大脑机制,2)这些机制如何在患有社会认知障碍的人群中发挥作用,以及3)这些机制的哪些方面是可塑性的,可以增强。完成这项NRSA中提出的研究将有助于我直接朝着这些长期目标努力。该提案的主要目的是测试社会工作记忆是否是社会认知能力的基本机制。迄今为止,社会工作记忆在行为和神经方面尚未得到研究。具体目标1是研究社会工作记忆的结构和功能神经联系,以及它们与社会认知能力的联系。为了达到这一目的,研究1)使用功能磁共振方法来测量对社会工作记忆和认知工作记忆任务的反应的血氧依赖(BOLD)信号,B)结构磁共振方法来测量整个大脑的皮质厚度如何与工作记忆任务中的功能激活相对应,以及C)在社会认知能力的标准化测量上的表现,以了解社会认知的个体差异如何与功能和结构指数相对应。实际上,没有一位社会认知神经学家接受过这项提议中使用的结构分析方法的培训。联合赞助人保罗·汤普森博士提供的皮质厚度分析培训将是获得NRSA奖学金的巨大好处。具体目标2是确定社会工作记忆训练是否能提高社会认知能力。研究2通过神经启发的SWM训练干预实现了这一目标。研究二完成训练前社会工作记忆和标准化社会认知能力的测量,12d社会工作记忆或对照训练干预,以及训练后社会工作记忆和标准化社会认知能力的测量。许多精神疾病,包括自闭症谱系障碍(ASD)、精神分裂症和社交焦虑,在社会认知和认知工作记忆方面表现出双重或不同的缺陷(Amir&Bomyea,2011;Baron-Cohen et al.,1985;Couture et al.,2006;Dawson&Fernland,1987;Goldman-Rakic,1994;Pick&Frith,2001;),然而,现有的研究尚未将这两个心理过程联系起来。拟议的研究将提供关于工作记忆和社会认知如何在行为和神经上相互作用的见解,这可能导致未来关于这些系统在自闭症、精神分裂症和/或社交焦虑等疾病中如何受损的假设。此外,这里开发的干预措施可以用于患有这些障碍的个人,以提高社会认知能力。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Meghan Leigh Meyer其他文献
Meghan Leigh Meyer的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Meghan Leigh Meyer', 18)}}的其他基金
Using the Brain to Reveal Mental Representations of Subjective Connection
用大脑揭示主观联系的心理表征
- 批准号:
10376187 - 财政年份:2021
- 资助金额:
$ 2.78万 - 项目类别:
Using the Brain to Reveal Mental Representations of Subjective Connection
用大脑揭示主观联系的心理表征
- 批准号:
10596552 - 财政年份:2021
- 资助金额:
$ 2.78万 - 项目类别:
Using the Brain to Reveal Mental Representations of Subjective Connection
用大脑揭示主观联系的心理表征
- 批准号:
10888790 - 财政年份:2021
- 资助金额:
$ 2.78万 - 项目类别:
Social Working Memory: Neural Bases and Training
社会工作记忆:神经基础和训练
- 批准号:
8313098 - 财政年份:2012
- 资助金额:
$ 2.78万 - 项目类别:
相似海外基金
Atomic Anxiety in the New Nuclear Age: How Can Arms Control and Disarmament Reduce the Risk of Nuclear War?
新核时代的原子焦虑:军控与裁军如何降低核战争风险?
- 批准号:
MR/X034690/1 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Fellowship
Clinitouch-360: A digital health platform enabling robust end-to-end care of patients in Primary Care with depression and anxiety
Clinitouch-360:数字健康平台,可为初级保健中的抑郁和焦虑患者提供强大的端到端护理
- 批准号:
10098274 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Collaborative R&D
Mental Health and Occupational Functioning in Nurses: An investigation of anxiety sensitivity and factors affecting future use of an mHealth intervention
护士的心理健康和职业功能:焦虑敏感性和影响未来使用移动健康干预措施的因素的调查
- 批准号:
10826673 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Visual analysis system to detect and predict the signs of anxiety in healthcare
用于检测和预测医疗保健中焦虑迹象的视觉分析系统
- 批准号:
2902083 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Studentship
Using generative AI combined with immersive technology to treat anxiety disorders
利用生成式人工智能结合沉浸式技术治疗焦虑症
- 批准号:
10109165 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Launchpad
Healthy Young Minds: co-producing a nature-based intervention with rural High School students to promote mental well-being and reduce anxiety
健康的年轻心灵:与农村高中生共同开展基于自然的干预措施,以促进心理健康并减少焦虑
- 批准号:
MR/Z503599/1 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Research Grant
"Flashforward" imagery and anxiety in young adults: Risk mechanisms and intervention development
年轻人的“闪现”意象和焦虑:风险机制和干预措施的发展
- 批准号:
MR/Y009460/1 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Fellowship
How parents manage climate anxiety: coping and hoping for the whole family
父母如何应对气候焦虑:全家人的应对和希望
- 批准号:
DP230101928 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Discovery Projects
An innovative biofeedback enhanced adaptive extended reality (XR) device to reduce perinatal pain and anxiety during and after childbirth
一种创新的生物反馈增强型自适应扩展现实 (XR) 设备,可减少分娩期间和分娩后的围产期疼痛和焦虑
- 批准号:
10097862 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Collaborative R&D
Application name Phase Space - VR hypnotherapy as early intervention for anxiety in students and young people
应用程序名称 Phase Space - VR 催眠疗法作为学生和年轻人焦虑的早期干预
- 批准号:
10055011 - 财政年份:2023
- 资助金额:
$ 2.78万 - 项目类别:
Collaborative R&D