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在存在人口统计学和临床因素的情况下,权衡神经因素对青少年快感缺失的预测作用。

Weighing the predictive role of neural factors for adolescent anhedonia in the presence of demographic and clinical factors.

作者信息

Reddy Anisha, Bertocci Michele, Gupta Tina, Eckstrand Kristen L, Rengasamy Manivel, Forbes Erika E

机构信息

Palo Alto University, Department of Psychology, Palo Alto, CA, USA.

University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA.

出版信息

J Mood Anxiety Disord. 2025 Mar 10;10:100116. doi: 10.1016/j.xjmad.2025.100116. eCollection 2025 Jun.

Abstract

Anhedonia, a transdiagnostic symptom of psychopathology associated with pernicious clinical course, has putative mechanisms in neural reward systems and emerges during adolescence. However, the relative contributions of neural, demographic, and clinical factors to its development are unclear. 73 adolescents (13-19 years) at varying familial risk for developing anhedonia reported demographic and clinical characteristics at study entry, reported anhedonia up to three times annually, and underwent fMRI during a monetary reward paradigm. Least absolute shrinkage and selection operator (LASSO) regression, which allows for a large number of intercorrelated predictors for feature selection, revealed that among demographic, clinical, and neural factors, 10 features predicted peak anhedonia over two years: impulsivity; activation in dorsal caudate, sub-gyral temporal lobe, and cuneus; and negative FC between the ventral striatum and six regions implicated in motor and/or decision-making aspects of reward. Neural factors explained an additional 40 % of variance above impulsivity. Findings indicate that in adolescents at risk for severe mental illness, disrupted motor and decision-making reward pathways could contribute to the development of anhedonia. Additionally, anhedonia should be defined in multiple domains, beyond mere phenomenology.

摘要

快感缺失是一种与不良临床病程相关的精神病理学跨诊断症状,在神经奖赏系统中存在假定机制,并在青春期出现。然而,神经、人口统计学和临床因素对其发展的相对贡献尚不清楚。73名有不同家族性快感缺失风险的青少年(13 - 19岁)在研究开始时报告了人口统计学和临床特征,每年报告多达三次快感缺失情况,并在金钱奖励范式期间接受功能磁共振成像(fMRI)检查。最小绝对收缩和选择算子(LASSO)回归允许大量相互关联的预测因子进行特征选择,结果显示,在人口统计学、临床和神经因素中,有10个特征可预测两年内的快感缺失峰值:冲动性;背侧尾状核、颞下回和楔叶的激活;以及腹侧纹状体与六个涉及奖赏的运动和/或决策方面区域之间的负功能连接(FC)。神经因素在冲动性之外还解释了另外40%的方差。研究结果表明,在有严重精神疾病风险的青少年中,运动和决策奖赏通路的破坏可能导致快感缺失的发展。此外,快感缺失应在多个领域进行定义,而不仅仅局限于现象学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35be/12244158/937a79d4c56a/gr1.jpg

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