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心理科学进展  2018, Vol. 26 Issue (8): 1450-1464    DOI: 10.3724/SP.J.1042.2018.01450
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自闭症谱系障碍者抑制控制的影响因素及神经机制
孙岩1(),房林1,王亭予1,崔丽2
1辽宁师范大学心理学院, 大连 116029
2大连小海豚自闭症儿童康复中心, 大连 116000
The influence factors and neural mechanisms of inhibitory control in autism spectrum disorders
Yan SUN1(),Lin FANG1,Tingyu WANG1,Li CUI2
1 Department of Psychology, Liaoning Normal University, Dalian 116029, China
2 Dalian Little Dolphin Autism Care Center, Dalian 116000, China
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摘要 

自闭症谱系障碍(ASD)是一种起源于儿童期的神经发育障碍, ASD的重复刻板行为与其抑制控制发展有密切关系。使用Go/No-go、Flanker及Stroop等范式的研究发现, ASD者抑制控制受损主要表现为反应抑制和干扰抑制能力存在缺陷; 其主要影响因素是任务状态、被试年龄及取样; 涉及的脑区和脑网络集中在前额皮层、前扣带回和基底神经节; 涉及的基因集中在谷氨酸盐、γ-氨基丁酸与5-羟色胺三种神经递质。未来应从脑机制研究入手, 综合考虑任务状态、个体特征对研究结果造成的影响, 并着力开发更有效的干预模式。

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孙岩
房林
王亭予
崔丽
关键词 自闭症谱系障碍抑制控制影响因素网络连接脑机制    
Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder in childhood. The repetitive behavior of people with ASD is closely related to the development of inhibitory control. The studies which used of Go/No-go, Flanker and Stroop tasks found that the inhibitory control of people with ASD was mainly manifested as a deficit in response inhibition and interference inhibition. Task status, subjects age and sampling were the main factors that affected inhibitory control of people with ASD. Previous studies have shown that inhibitory control correlated with brain regions including: prefrontal cortex, anterior cingulate cortex and basal ganglia. The genes related to inhibitory control including: glutamate, gamma aminobutyric acid and 5- serotonin. The future study should start with the research of brain mechanism, taking into account the influence of task status and individual characteristics on the research results, and put forth effort to the development of more effective intervention model.

Key wordsautism    inhibitory control    influential factors    network connection    brain mechanism
收稿日期: 2017-05-31      出版日期: 2018-07-02
ZTFLH:  B845  
  R395  
基金资助:教育部人文社会科学规划基金项目(17YJA190011)
通讯作者: 孙岩     E-mail: sun9199@163.com
引用本文:   
孙岩,房林,王亭予,崔丽. 自闭症谱系障碍者抑制控制的影响因素及神经机制[J]. 心理科学进展, 2018, 26(8): 1450-1464.
Yan SUN,Lin FANG,Tingyu WANG,Li CUI. The influence factors and neural mechanisms of inhibitory control in autism spectrum disorders. Advances in Psychological Science, 2018, 26(8): 1450-1464.
链接本文:  
http://journal.psych.ac.cn/xlkxjz/CN/10.3724/SP.J.1042.2018.01450      或      http://journal.psych.ac.cn/xlkxjz/CN/Y2018/V26/I8/1450
资料来源 被试及数量 年龄范围(岁) 任务范式 测量工具 研究结果
Schmitz
et al., 2006
ASD:8
正常组:10
18~52 Go/No-go任务
Stroop任务
fMRI ASD组左下眶额叶皮层、右IFG与左脑岛激活显著增加, 右侧额下回灰质密度增加
Kana et al.,
2007
ASD:12
正常组:12
19.1~34.5
19.3~25.7
包含有工作记忆成分的Go/No-go任务 fMRI ASD组ACC激活降低, 前脑岛激活减少; ACC与右侧额-顶抑制脑网络的同步性更低
Chan
et al., 2011
ASD:20
正常组:20
7~14
7~14
Go/No-go任务 EEG ASD组在No-go条件下的ACC激活显著低于正常组
Langen
et al., 2012
ASD:21
正常组:22
19~44
19~44
Go/No-go任务 sMRI (structural MRI)
DTI (diffusion
tensor imaging)
ASD大脑总体白质体积显著小于正常被试, 连接壳核与前额皮层之间的白质连接强度减弱
Duerden
et al., 2013
ASD:19
正常组:20
19.6~39.4
20.8~43.4
面孔表情识别的
Go/No-go任务
fMRI 正常组激活VLPFC、DLPFC、楔前叶、ACC、前脑岛、梭状回、顶下小叶和颞中回, ASD组的VLPFC和右侧梭状回激活更大
Daly
et al., 2014
ASD:14
正常组:14
18~44
20~42
Go/No-go任务 fMRI ASD组的额下皮质区、基底神经节、丘脑、小脑存在激活异常
Solomon
et al., 2014
ASD1:13
ASD2:14
正常组1:13
正常组2:14
12~15
16~18
12~15
16~18
准备执行优势反应抑制任务(Preparing to Overcome Prepotency “POP” Task ) fMRI 16~18岁组的ASD在VLPFC和双侧ACC之间的功能连接增强, 16~18岁组的ASD的左顶叶激活减少
Padmanabhan et al., 2015 ASD1: 8
ASD2: 11
正常组1:14
正常组2:9
19~33
13~17
18~31
12~17
反眼跳任务与视觉
引导任务(visually
guided saccade, VGS)
fMRI ASD青少年壳核与楔前叶激活更大, 顶下小叶的激活水平下降
Velasquez
et al., 2017
ASD: 19
正常组:22
18~35
20~46
面孔表情识别
Go/No-go任务
fMRI ASD组角回与梭状回激活更大, ASD组ACC与楔前叶激活降低
  ASD与正常被试抑制控制相关脑区激活的比较
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