关于在神经精神病学实践中引入心理生理生物标志物的谨慎观察

IF 1.2 Q4 PSYCHIATRY
P. Rapp, C. Cellucci, David M. Darmon, D. Keyser
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引用次数: 0

摘要

统计学习技术与大型心理生理数据数据库的结合,对未来的临床应用产生了浓厚的兴趣。本文认为,在将心理生理学措施系统地引入神经精神病学实践之前,必须克服重大障碍,才能缓和这种热情。本研究的目的是确定这一努力面临的挑战。心理生理指标的非特异性使其在诊断中的应用复杂化。低测试-重测信度使纵向评估的使用复杂化,定量心理生理测量可以在安慰剂干预后正常化。提出了十条告诫性意见,并在某些情况下提出了可能的补救方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cautionary Observations Concerning the Introduction of Psychophysiological Biomarkers into Neuropsychiatric Practice
The combination of statistical learning technologies with large databases of psychophysiological data has appropriately generated enthusiastic interest in future clinical applicability. It is argued here that this enthusiasm should be tempered with the understanding that significant obstacles must be overcome before the systematic introduction of psychophysiological measures into neuropsychiatric practice becomes possible. The objective of this study is to identify challenges to this effort. The nonspecificity of psychophysiological measures complicates their use in diagnosis. Low test-retest reliability complicates use in longitudinal assessment, and quantitative psychophysiological measures can normalize in response to placebo intervention. Ten cautionary observations are introduced and, in some instances, possible directions for remediation are suggested.
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来源期刊
CiteScore
1.90
自引率
0.00%
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0
审稿时长
11 weeks
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