大脑模块化连接相互作用可以预测吸烟者在面对吸烟暗示时采取主动抑制
Haichao Zhao1, Mengjiao Ge1, Ofir Turel2,3
1Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China.
Addiction biology
|May 30, 2023
概括
积极抑制有助于吸烟者戒烟,通过管理对吸烟暗示的反应. 大脑网络动态,特别是涉及传感运动,认知控制和默认模式网络,对于这种能力至关重要.
科学领域:
- 神经科学是一个神经科学.
- 成研究 研究成研究
- 认知心理学 认知心理学
背景情况:
- 积极的抑制对于旨在减少或戒烟的吸烟者来说至关重要.
- 了解吸烟线索如何影响戒烟中的主动抑制和大脑网络是有限的.
研究的目的:
- 调查突出吸烟线索对吸烟者主动抑制行为和神经方面的影响.
- 在不同的提示条件下,分析在主动抑制任务期间大脑网络内部和大脑网络之间的动态相互作用.
主要方法:
- 26名吸烟者在中性和吸烟提示条件下完成了停止信号预测任务 (SSAT).
- 基于图形的模块化分析被用来检查大脑网络结构和功能连接.
- 行为表现与神经网络动态相关.
主要成果:
- 确定了三个稳定的大脑模块 (感官运动网络,认知控制网络,默认模式网络).
- 增加的任务要求改变这些网络内部和网络之间的功能连接.
- 吸烟线索破坏了动态交互,这些破坏预测了行为表现.
结论:
- 大脑网络动态在吸烟者的主动抑制中发挥着重要作用.
- 突出的吸烟线索损害了支持主动抑制的神经机制.
- 这些发现为开发针对戒烟的有针对性的干预措施提供了洞察力.
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