ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2023, Vol. 31 ›› Issue (9): 1665-1675.doi: 10.3724/SP.J.1042.2023.01665

• 研究前沿 • 上一篇    下一篇

反应控制中运动系统抑制效应的全局性:证据、机制和争论

王立卉()   

  1. 上海交通大学心理与行为科学研究院;上海交通大学医学院附属精神卫生中心, 上海 200030
  • 收稿日期:2021-11-17 出版日期:2023-09-15 发布日期:2023-05-31
  • 通讯作者: 王立卉 E-mail:lihui.wang@sjtu.edu.cn
  • 基金资助:
    国家自然科学基金项目(32000779)

The global Inhibitory effect within the motor system in response control: Evidence, mechanism and controversy

WANG Lihui()   

  1. Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University;Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
  • Received:2021-11-17 Online:2023-09-15 Published:2023-05-31
  • Contact: WANG Lihui E-mail:lihui.wang@sjtu.edu.cn

摘要:

在反应控制的研究中, 长期以来的理论观点认为只有干扰当前目标的效应器会出现抑制效应。总结近年研究发现, 在反应控制过程中, 不仅干扰效应器出现了抑制效应, 与任务无关的效应器和任务要求效应器均出现了抑制效应; 与反应控制相关的抑制效应不仅仅局限于涉及反应冲突的任务, 而是广泛存在于涉及反应执行的任务, 即整个运动系统在多个情境下呈现抑制的全局性。双加工模型认为对不同效应器的抑制由不同脑区控制, 聚光灯模型则认为不同效应器的抑制源于同一个系统, 后者与计算神经科学领域的归一化模型一致。反应控制中抑制效应的全局性特征有助于从协同性和整体性的角度思考认知加工。同时, 当前研究对抑制效应全局性出现的条件也存在一些争论。未来研究应区分不同效应器, 结合计算模型阐明各效应器之间的协同作用机制、各效应器在运动皮层的计算机制, 以及这些机制异常与心理精神疾病人群反应控制失调的关系。

关键词: 反应控制, 全局性抑制, 运动系统, 认知灵活性

Abstract:

In daily life, we often encounter situations where we need to stop an ongoing response or suppress a response tendency. This process, termed response inhibition, has long been thought to occur at a response effector only when it interferes with the current task goal. However, a growing number of studies have shown that inhibition is associated with multiple response effectors, suggesting that global inhibition can occur across the entire motor system. In this review, we propose a new taxonomy of response inhibition based on the different response effectors of the motor system, and on the task contexts that engage inhibition. Specifically, we classify response effectors as task-interfering effectors, task-irrelevant effectors, and task-required effectors, where task contexts are classified as response-conflict tasks or non-conflict tasks. Based on this new taxonomy, we summarize evidence from recent studies showing inhibitory effects in the three classes of effectors for both conflict and non-conflict task contexts. The new taxonomy adds to the existing classification models of response inhibition by providing clearly defined boundaries between different kinds of inhibition.
Two alternative models proposed by recent studies are introduced to explain how the inhibition of multiple effectors is implemented in the brain. The dual process model proposes that the inhibitory processes at different effectors are controlled by different brain areas respectively, whereas the spot-light model proposes that they are controlled by a single system. We also examined the degree to which the spot-light model corresponds with the normalization model, which is a fundamental model of neural computation. The normalization model accounts for global inhibition of the motor system, and thus enhances its explanatory and predictive power of multiple cognitive functions such as visual selective attention, multisensory integration, and value-based decision-making. The collective evidence suggests that the normalization model is a common neural computational mechanism underlying a broad range of cognitive phenomena.
As empirical evidence regarding response control is lacking, in this review, we propose specific hypotheses that can be tested in future studies. One hypothesis is that the behavioral cost of inhibition is dependent on the competition strength between different response effectors. The other hypothesis is that the degree of inhibition of a specific response effector is dependent on the representational distance in the brain between this effector and the task-required response effector. In both hypotheses, the factors affecting the inhibitory effect are highly quantifiable and can be specified in the normalization model. In combination with the normalization model, the global inhibition framework can be tested using signals recorded at the molecular, cortical, and behavioral levels. Integrating evidence from multiple levels of neural processing may help to reveal the common mechanisms of response control.
The evidence reviewed here challenges the traditional view of response inhibition and demonstrates the scope of global inhibition within the motor system. The global inhibition framework provides an integrated explanation for the inhibitory effects of multiple effectors and multiple task contexts, and also offers a new perspective for treating response control as a coordinated and integrated process involving multiple response effectors. This new perspective highlights the cognitive flexibility and computational efficiency of the neural system, with significant applications in the clinical and industrial domains. Many mental conditions such as obsessive-compulsive disorder (OCD), attention-deficit hyperactivity disorder (ADHD), and addiction are characterized by deficits in motor inhibition. Dysfunctional global inhibition may be a sensitive biomarker that could be useful in diagnosing and predicting relapses of these mental conditions. Furthermore, according to the framework of global inhibition, the efficiency of response control is more likely to be improved by training schemes that focus on motor flexibility versus inhibition using a specific response effector. This inspires the industrial application to employ training schemes in more ecological situations rather than in highly controlled laboratory settings.

Key words: response control, global inhibition, motor system, cognitive flexibility

中图分类号: