青少年普遍焦虑与社会情绪处理过程中的大脑激活状态

IF 22.5 1区 医学 Q1 PSYCHIATRY JAMA Psychiatry Pub Date : 2024-12-18 DOI:10.1001/jamapsychiatry.2024.4105
M. Catalina Camacho, Rebecca F. Schwarzlose, Michael T. Perino, Alyssa K. Labonte, Sanju Koirala, Deanna M. Barch, Chad M. Sylvester
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Data used in this study are from the first 9 releases (collected in a nonclinical research setting in the New York City metropolitan area from 2015 to 2020) and include 620 youths aged 5 to 15 years (53% of whom met criteria for a lifetime anxiety disorder diagnosis) who watched an emotional video during functional magnetic resonance imaging and completed questionnaires and clinical evaluation. Of those with functional magnetic resonance imaging data, 432 youths aged 7 to 15 years also self-reported on anxiety symptoms. Data were processed and analyzed between February 2020 and August 2024.Main Outcomes and MeasuresA hidden Markov model was trained to identify brain activation states across participants during video watching. Time spent in each state and the moment-to-moment probability of being in each state were extracted. Videos were annotated for emotion-specific and nonspecific information using the EmoCodes system. Self-reported anxiety symptoms were assessed using the Screen for Child Anxiety Related Disorders. Time spent in each state across the video and during and outside of peaks in negative content correlated with generalized and social anxiety scores.ResultsAmong the 620 youths in the overall analysis, 369 were male and the mean (SD) age was 10.4 (2.8) years. In the anxiety symptom analysis, 263 of 432 youths were male and the mean (SD) age was 11.5 (2.2) years. Three brain activation states were identified: a high somatomotor activation state (state 1), a high cingulo-opercular network activation state (state 2), and a high ventral attention and default mode state (state 3). The probability of being in state 3 was correlated with video content that was more negative, quieter, and with less visual motion (ρ &amp;amp;lt; 0.08; <jats:italic>P</jats:italic> &amp;amp;lt; .001). Increased generalized anxiety was associated with greater time in state 3 (B, 0.10; 95% CI, 0.01 to 0.20; false discovery rate [FDR]–corrected <jats:italic>P</jats:italic> = .048) and less time in state 2 (B, −0.11; 95% CI, −0.21 to −0.02; FDR-corrected <jats:italic>P</jats:italic> = .048) when negative social cues were present.Conclusions and RelevanceYouths entered 3 distinct brain activation states during movie watching, and youths with anxiety spent more time in a state with high ventral attention and default activation during negative socioemotional processing. Youths high in generalized anxiety may be more engaged in deeply processing negative emotional content, which may influence self-regulation. 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引用次数: 0

摘要

大脑进入不同的激活状态以支持不同的认知和情绪过程,但对于患有临床焦虑症的青少年大脑激活状态的差异知之甚少。目的探讨社会情绪加工(电影刺激)过程中大脑的激活状态,评估状态特征与电影特征和焦虑症状之间的关系。设计、环境和参与者健康大脑网络是一项正在进行的横断面研究,研究对象是5至21岁在学校遇到困难的个体,其中约45%符合终身焦虑障碍诊断标准。本研究中使用的数据来自前9个版本(在2015年至2020年期间在纽约市大都市区的非临床研究环境中收集),包括620名5至15岁的青少年(其中53%符合终身焦虑症诊断标准),他们在功能性磁共振成像期间观看了情感视频,并完成了问卷调查和临床评估。在那些有功能性磁共振成像数据的人中,432名年龄在7到15岁之间的年轻人也自我报告了焦虑症状。数据在2020年2月至2024年8月期间进行了处理和分析。主要结果和测量方法训练了一个隐马尔可夫模型来识别参与者在观看视频时的大脑激活状态。提取了在每种状态下所花费的时间和处于每种状态的瞬时概率。使用EmoCodes系统对视频进行情绪特异性和非特异性信息注释。使用儿童焦虑相关障碍筛查评估自我报告的焦虑症状。在视频中的每个状态以及负面内容高峰期间和之外花费的时间与广义焦虑和社交焦虑得分相关。结果620例青少年中,男性369例,平均(SD)年龄10.4(2.8)岁。在焦虑症状分析中,432名青少年中有263名为男性,平均(SD)年龄为11.5(2.2)岁。发现了三种大脑激活状态:躯体运动高激活状态(状态1)、扣谷-眼网络高激活状态(状态2)和腹侧注意和默认模式高激活状态(状态3)。处于状态3的概率与更消极、更安静、视觉运动更少的视频内容相关(ρ &lt;0.08;P, amp;肝移植;措施)。广泛性焦虑的增加与处于状态3的时间延长相关(B, 0.10;95% CI, 0.01 ~ 0.20;错误发现率[FDR]校正后的P = 0.048),处于状态2的时间更短(B, - 0.11;95% CI,−0.21 ~−0.02;fdr校正后的P = 0.048)。青少年在观影过程中进入3种不同的脑激活状态,焦虑青少年在负性社会情绪加工过程中处于腹侧高度注意和默认激活状态的时间更长。高广泛性焦虑的青少年可能更多地参与深度处理负面情绪内容,这可能影响自我调节。应考虑采取干预措施,重点改变焦虑青少年在消极社会交往中的生理和心理状态。
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Youth Generalized Anxiety and Brain Activation States During Socioemotional Processing
ImportanceThe brain enters distinct activation states to support differential cognitive and emotional processes, but little is known about how brain activation states differ in youths with clinical anxiety.ObjectiveTo characterize brain activation states during socioemotional processing (movie stimuli) and assess associations between state characteristics and movie features and anxiety symptoms.Design, Setting, and ParticipantsThe Healthy Brain Network is an ongoing cross-sectional study of individuals aged 5 to 21 years experiencing difficulties in school, of whom approximately 45% met criteria for a lifetime anxiety disorder diagnosis. Data used in this study are from the first 9 releases (collected in a nonclinical research setting in the New York City metropolitan area from 2015 to 2020) and include 620 youths aged 5 to 15 years (53% of whom met criteria for a lifetime anxiety disorder diagnosis) who watched an emotional video during functional magnetic resonance imaging and completed questionnaires and clinical evaluation. Of those with functional magnetic resonance imaging data, 432 youths aged 7 to 15 years also self-reported on anxiety symptoms. Data were processed and analyzed between February 2020 and August 2024.Main Outcomes and MeasuresA hidden Markov model was trained to identify brain activation states across participants during video watching. Time spent in each state and the moment-to-moment probability of being in each state were extracted. Videos were annotated for emotion-specific and nonspecific information using the EmoCodes system. Self-reported anxiety symptoms were assessed using the Screen for Child Anxiety Related Disorders. Time spent in each state across the video and during and outside of peaks in negative content correlated with generalized and social anxiety scores.ResultsAmong the 620 youths in the overall analysis, 369 were male and the mean (SD) age was 10.4 (2.8) years. In the anxiety symptom analysis, 263 of 432 youths were male and the mean (SD) age was 11.5 (2.2) years. Three brain activation states were identified: a high somatomotor activation state (state 1), a high cingulo-opercular network activation state (state 2), and a high ventral attention and default mode state (state 3). The probability of being in state 3 was correlated with video content that was more negative, quieter, and with less visual motion (ρ &amp;lt; 0.08; P &amp;lt; .001). Increased generalized anxiety was associated with greater time in state 3 (B, 0.10; 95% CI, 0.01 to 0.20; false discovery rate [FDR]–corrected P = .048) and less time in state 2 (B, −0.11; 95% CI, −0.21 to −0.02; FDR-corrected P = .048) when negative social cues were present.Conclusions and RelevanceYouths entered 3 distinct brain activation states during movie watching, and youths with anxiety spent more time in a state with high ventral attention and default activation during negative socioemotional processing. Youths high in generalized anxiety may be more engaged in deeply processing negative emotional content, which may influence self-regulation. Interventions that focus on changing physiological and psychological state during negative social interactions in youths with anxiety should be considered.
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来源期刊
JAMA Psychiatry
JAMA Psychiatry PSYCHIATRY-
CiteScore
30.60
自引率
1.90%
发文量
233
期刊介绍: JAMA Psychiatry is a global, peer-reviewed journal catering to clinicians, scholars, and research scientists in psychiatry, mental health, behavioral science, and related fields. The Archives of Neurology & Psychiatry originated in 1919, splitting into two journals in 1959: Archives of Neurology and Archives of General Psychiatry. In 2013, these evolved into JAMA Neurology and JAMA Psychiatry, respectively. JAMA Psychiatry is affiliated with the JAMA Network, a group of peer-reviewed medical and specialty publications.
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