• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在严重精神疾病的迟钝情感/言语障碍边界:对研究领域标准的影响。

On the boundaries of blunt affect/alogia across severe mental illness: implications for Research Domain Criteria.

机构信息

Department of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA 70803, USA.

出版信息

Schizophr Res. 2012 Sep;140(1-3):41-5. doi: 10.1016/j.schres.2012.07.001. Epub 2012 Jul 23.

DOI:10.1016/j.schres.2012.07.001
PMID:22831770
Abstract

There is growing awareness that reduced expressive behaviors (e.g., blunt affect, alogia, psychomotor retardation) are characteristic of a range of psychiatric conditions, including mood and schizophrenia-spectrum disorders. From a Research Domain Criteria (RDoC) perspective, it would be critical to determine whether these symptoms manifest similarly across diagnostic groups--as they may share common pathophysiological underpinnings. The present study employed computerized acoustic analysis of speech produced in reaction to a range of visual stimuli in 48 stable outpatients with schizophrenia and mood disorders to offer preliminary understanding of this issue. Speaking assessments were administered 1 week-apart to examine how temporal stability might vary as a function of clinical diagnosis and symptom severity. Speech characteristics generally did not differ between groups and were similarly, and for the most part, highly stable over time. Aspects of speech were significantly associated with severity of psychosis and negative symptoms, but not with clinical depression/anxiety severity. Moreover, stability of speech characteristics generally did not vary as a function of diagnostic group or clinical severity. The magnitudes of group differences were almost exclusively in the negligible to small range. Speech production was associated with social functioning deficits. In sum, these preliminary data suggest that speech variables tap a stable and clinically important facet of psychopathology that cut across diagnostic categories. Computerized acoustic analysis of speech appears to be a promising method for understanding the pathological manifestation of these variables.

摘要

人们越来越意识到,表达减少的行为(例如,情感迟钝、言语贫乏、运动迟缓)是一系列精神疾病的特征,包括情绪和精神分裂症谱系障碍。从研究领域标准(RDoC)的角度来看,确定这些症状是否在不同的诊断组中表现相似是至关重要的,因为它们可能具有共同的病理生理基础。本研究采用计算机化的语音分析技术,对 48 名稳定的精神分裂症和心境障碍门诊患者在一系列视觉刺激下产生的语音进行分析,初步探讨了这一问题。在 1 周的时间间隔内进行语音评估,以考察临床诊断和症状严重程度的变化如何影响时间稳定性。语音特征在组间没有差异,并且在很大程度上是相似的,并且在很长一段时间内都非常稳定。语音的某些方面与精神病和阴性症状的严重程度显著相关,但与临床抑郁/焦虑严重程度无关。此外,语音特征的稳定性通常不受诊断组或临床严重程度的影响。组间差异的幅度几乎完全在可忽略不计到小的范围内。言语产生与社交功能缺陷有关。总之,这些初步数据表明,言语变量反映了一种稳定且具有临床重要性的精神病理学特征,跨越了诊断类别。语音的计算机化声学分析似乎是理解这些变量病理性表现的一种很有前途的方法。

相似文献

1
On the boundaries of blunt affect/alogia across severe mental illness: implications for Research Domain Criteria.在严重精神疾病的迟钝情感/言语障碍边界:对研究领域标准的影响。
Schizophr Res. 2012 Sep;140(1-3):41-5. doi: 10.1016/j.schres.2012.07.001. Epub 2012 Jul 23.
2
Psychiatric symptom versus neurocognitive correlates of diminished expressivity in schizophrenia and mood disorders.精神症状与精神分裂症和心境障碍表达不足的神经认知相关性。
Schizophr Res. 2013 May;146(1-3):249-53. doi: 10.1016/j.schres.2013.02.002. Epub 2013 Mar 6.
3
[Frontal dementia or dementia praecox? A case report of a psychotic disorder with a severe decline].[额颞叶痴呆还是早发性痴呆?一例伴有严重衰退的精神障碍病例报告]
Encephale. 2003 Mar-Apr;29(2):172-80.
4
Disorganization of semantic memory underlies alogia in schizophrenia: an analysis of verbal fluency performance in Japanese subjects.语义记忆紊乱是精神分裂症言语迟缓的基础:对日本受试者言语流畅性表现的分析。
Schizophr Res. 2005 Apr 1;74(1):91-100. doi: 10.1016/j.schres.2004.05.011.
5
A comparison of clinical ratings with vocal acoustic measures of flat affect and alogia.临床评定与情感平淡和言语迟缓的嗓音声学测量的比较。
J Psychiatr Res. 2002 Sep-Oct;36(5):347-53. doi: 10.1016/s0022-3956(02)00016-x.
6
The relation between emotional awareness and hallucinations and delusions in acute psychiatric inpatients.急性精神病住院患者的情绪意识与幻觉及妄想之间的关系。
Schizophr Res. 2008 Apr;101(1-3):195-200. doi: 10.1016/j.schres.2008.01.012. Epub 2008 Feb 13.
7
What do we really know about blunted vocal affect and alogia? A meta-analysis of objective assessments.我们对言语情感平淡和言语迟缓究竟了解多少?一项客观评估的荟萃分析。
Schizophr Res. 2014 Nov;159(2-3):533-8. doi: 10.1016/j.schres.2014.09.013. Epub 2014 Sep 26.
8
Alogia and pressured speech do not fall on a continuum of speech production using objective speech technologies.刻板言语和言语急促并不会随着客观言语技术的使用而呈连续变化。
Schizophr Res. 2023 Sep;259:121-126. doi: 10.1016/j.schres.2022.07.004. Epub 2022 Jul 18.
9
Affective disturbances in psychometrically defined schizotypy across direct, but not indirect assessment modes.在直接评估模式而非间接评估模式下,心理计量学定义的精神分裂型特质中存在情感障碍。
Schizophr Res. 2011 May;128(1-3):136-42. doi: 10.1016/j.schres.2011.02.004. Epub 2011 Mar 5.
10
Characterization of affective domains within the nonaffective psychotic disorders.非情感性精神障碍中情感领域的特征描述。
Schizophr Res. 2009 Jun;111(1-3):61-9. doi: 10.1016/j.schres.2009.03.008. Epub 2009 Mar 24.

引用本文的文献

1
Method Matters: Enhancing Voice-Based Depression Detection With a New Data Collection Framework.方法很重要:利用新的数据收集框架增强基于语音的抑郁症检测
Depress Anxiety. 2025 May 20;2025:4839334. doi: 10.1155/da/4839334. eCollection 2025.
2
Disorganisation and depression: a re-examination of how we think and speak when depressed.混乱与抑郁:对抑郁时思维及言语方式的重新审视
Eur Arch Psychiatry Clin Neurosci. 2025 Apr 2. doi: 10.1007/s00406-025-01994-1.
3
Crisis of objectivity: using a personalized network model to understand maladaptive sensemaking in a patient with psychotic, affective, and obsessive-compulsive symptoms.
客观性危机:使用个性化网络模型理解一名具有精神病性、情感性和强迫症状患者的适应不良意义建构
Front Psychol. 2024 Aug 6;15:1383717. doi: 10.3389/fpsyg.2024.1383717. eCollection 2024.
4
Catatonia-like behavior and immune activation: a crosstalk between psychopathology and pathology in schizophrenia.类紧张症行为与免疫激活:精神分裂症中心理病理学与病理学之间的相互作用
Ann Gen Psychiatry. 2023 Oct 11;22(1):39. doi: 10.1186/s12991-023-00471-0.
5
Exploring the ability of vocal biomarkers in distinguishing depression from bipolar disorder, schizophrenia, and healthy controls.探索嗓音生物标志物在区分抑郁症与双相情感障碍、精神分裂症及健康对照方面的能力。
Front Psychiatry. 2023 Jul 20;14:1079448. doi: 10.3389/fpsyt.2023.1079448. eCollection 2023.
6
Speech biomarkers of risk factors for vascular dementia in people with mild cognitive impairment.轻度认知障碍患者血管性痴呆危险因素的言语生物标志物
Front Hum Neurosci. 2022 Dec 15;16:1057578. doi: 10.3389/fnhum.2022.1057578. eCollection 2022.
7
Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach.通过机器学习方法从视听行为指标中识别精神分裂症和抑郁症中的精神症状表现。
Schizophrenia (Heidelb). 2022 Nov 7;8(1):92. doi: 10.1038/s41537-022-00287-z.
8
Computerized analysis of facial expressions in serious mental illness.计算机分析严重精神疾病患者的面部表情。
Schizophr Res. 2022 Mar;241:44-51. doi: 10.1016/j.schres.2021.12.026. Epub 2022 Jan 22.
9
Sch-net: a deep learning architecture for automatic detection of schizophrenia.Sch-net:一种用于自动检测精神分裂症的深度学习架构。
Biomed Eng Online. 2021 Aug 3;20(1):75. doi: 10.1186/s12938-021-00915-2.
10
Using machine learning of computerized vocal expression to measure blunted vocal affect and alogia.利用计算机化语音表达的机器学习来测量语音情感迟钝和言语迟缓。
NPJ Schizophr. 2020 Sep 25;6(1):26. doi: 10.1038/s41537-020-00115-2.