Markers of positive affect and brain state synchrony discriminate melancholic from non-melancholic depression using naturalistic stimuli.

IF 9.6 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Psychiatry Pub Date : 2024-08-27 DOI:10.1038/s41380-024-02699-y
Philip E Mosley, Johan N van der Meer, Lachlan H W Hamilton, Jurgen Fripp, Stephen Parker, Jayson Jeganathan, Michael Breakspear, Richard Parker, Rebecca Holland, Brittany L Mitchell, Enda Byrne, Ian B Hickie, Sarah E Medland, Nicholas G Martin, Luca Cocchi
{"title":"Markers of positive affect and brain state synchrony discriminate melancholic from non-melancholic depression using naturalistic stimuli.","authors":"Philip E Mosley, Johan N van der Meer, Lachlan H W Hamilton, Jurgen Fripp, Stephen Parker, Jayson Jeganathan, Michael Breakspear, Richard Parker, Rebecca Holland, Brittany L Mitchell, Enda Byrne, Ian B Hickie, Sarah E Medland, Nicholas G Martin, Luca Cocchi","doi":"10.1038/s41380-024-02699-y","DOIUrl":null,"url":null,"abstract":"<p><p>Melancholia has been proposed as a qualitatively distinct depressive subtype associated with a characteristic symptom profile (psychomotor retardation, profound anhedonia) and a better response to biological therapies. Existing work has suggested that individuals with melancholia are blunted in their display of positive emotions and differ in their neural response to emotionally evocative stimuli. Here, we unify these brain and behavioural findings amongst a carefully phenotyped group of seventy depressed participants, drawn from an established Australian database (the Australian Genetics of Depression Study) and further enriched for melancholia (high ratings of psychomotor retardation and anhedonia). Melancholic (n = 30) or non-melancholic status (n = 40) was defined using a semi-structured interview (the Sydney Melancholia Prototype Index). Complex facial expressions were captured whilst participants watched a movie clip of a comedian and classified using a machine learning algorithm. Subsequently, the dynamics of sequential changes in brain activity were modelled during the viewing of an emotionally evocative movie in the MRI scanner. We found a quantitative reduction in positive facial expressivity amongst participants with melancholia, combined with differences in the synchronous expression of brain states during positive epochs of the movie. In non-melancholic depression, the display of positive affect was inversely related to the activity of cerebellar regions implicated in the processing of affect. However, this relationship was reduced in those with a melancholic phenotype. Our multimodal findings show differences in evaluative and motoric domains between melancholic and non-melancholic depression through engagement in ecologically valid tasks that evoke positive emotion. These findings provide new markers to stratify depression and an opportunity to support the development of targeted interventions.</p>","PeriodicalId":19008,"journal":{"name":"Molecular Psychiatry","volume":null,"pages":null},"PeriodicalIF":9.6000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41380-024-02699-y","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Melancholia has been proposed as a qualitatively distinct depressive subtype associated with a characteristic symptom profile (psychomotor retardation, profound anhedonia) and a better response to biological therapies. Existing work has suggested that individuals with melancholia are blunted in their display of positive emotions and differ in their neural response to emotionally evocative stimuli. Here, we unify these brain and behavioural findings amongst a carefully phenotyped group of seventy depressed participants, drawn from an established Australian database (the Australian Genetics of Depression Study) and further enriched for melancholia (high ratings of psychomotor retardation and anhedonia). Melancholic (n = 30) or non-melancholic status (n = 40) was defined using a semi-structured interview (the Sydney Melancholia Prototype Index). Complex facial expressions were captured whilst participants watched a movie clip of a comedian and classified using a machine learning algorithm. Subsequently, the dynamics of sequential changes in brain activity were modelled during the viewing of an emotionally evocative movie in the MRI scanner. We found a quantitative reduction in positive facial expressivity amongst participants with melancholia, combined with differences in the synchronous expression of brain states during positive epochs of the movie. In non-melancholic depression, the display of positive affect was inversely related to the activity of cerebellar regions implicated in the processing of affect. However, this relationship was reduced in those with a melancholic phenotype. Our multimodal findings show differences in evaluative and motoric domains between melancholic and non-melancholic depression through engagement in ecologically valid tasks that evoke positive emotion. These findings provide new markers to stratify depression and an opportunity to support the development of targeted interventions.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用自然刺激,积极情绪标记和大脑状态同步可区分忧郁抑郁症和非忧郁抑郁症。
忧郁症被认为是一种与众不同的抑郁亚型,它具有独特的症状特征(精神运动迟缓、深度失神),对生物疗法的反应较好。现有研究表明,忧郁症患者的积极情绪表现迟钝,对情绪唤起性刺激的神经反应也不同。在这里,我们将这些大脑和行为研究结果统一到一个经过仔细表型的七十名抑郁症患者群体中,该群体来自于一个已建立的澳大利亚数据库(澳大利亚抑郁症遗传学研究),并进一步富集了忧郁症患者(精神运动迟滞和厌食症评分较高)。通过半结构化访谈(悉尼忧郁症原型指数)确定忧郁症状态(30 人)或非忧郁症状态(40 人)。在参与者观看喜剧演员的电影片段时捕捉复杂的面部表情,并使用机器学习算法进行分类。随后,在核磁共振成像扫描仪上观看唤起情绪的电影时,对大脑活动的动态连续变化进行建模。我们发现,在患有忧郁症的参与者中,积极的面部表情定量减少,而且在电影的积极片段中,大脑状态的同步表达也存在差异。在非忧郁症抑郁症患者中,积极情绪的表现与小脑区域的活动成反比,而小脑区域与情绪处理有关联。然而,这种关系在有忧郁症表型的人身上却有所减弱。我们的多模态研究结果表明,通过参与唤起积极情绪的生态有效任务,忧郁抑郁症和非忧郁抑郁症患者在评价和运动领域存在差异。这些发现为抑郁症的分层提供了新的标记,并为有针对性的干预措施的开发提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Molecular Psychiatry
Molecular Psychiatry 医学-精神病学
CiteScore
20.50
自引率
4.50%
发文量
459
审稿时长
4-8 weeks
期刊介绍: Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.
期刊最新文献
Both GEF domains of the autism and developmental epileptic encephalopathy-associated Trio protein are required for proper tangential migration of GABAergic interneurons Psychedelics and schizophrenia: a double-edged sword Impaired emotion recognition in Cntnap2-deficient mice is associated with hyper-synchronous prefrontal cortex neuronal activity A randomized proof-of-mechanism trial of TNF antagonism for motivational deficits and related corticostriatal circuitry in depressed patients with high inflammation Acute COVID-19 severity markers predict post-COVID new-onset psychiatric disorders: A 2-year cohort study of 34,489 patients
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1