Application of functional near-infrared imaging for conflict monitoring: a preliminary study in 28 adults

Ye ZHANG; Li WANG; Jingna ZHANG; Pengyue LI; Qiannan WANG; Linqiong SANG; Mingguo QIU

doi:10.16016/j.1000-5404.202011128

您当前的位置：

首页 >

文章列表页 >

Application of functional near-infrared imaging for conflict monitoring: a preliminary study in 28 adults

Neurosciences | 更新时间：2026-01-09

- Application of functional near-infrared imaging for conflict monitoring: a preliminary study in 28 adults
- Journal of Third Military Medical University Vol. 43, Issue 7, Pages: 622-628(2021)
- 作者机构：
  
  400038 重庆，陆军军医大学（第三军医大学）生物医学工程与影像医学系医学图像学教研室
- 作者简介：
- 基金信息：
  
  the Young Scientists Development Program of Third Military Medical University(2017XQN04);the National Natural Science Foundation for Young Scholars of China(81802253)
- DOI：10.16016/j.1000-5404.202011128
  CLC： R319;R338.25;R445.7
- Received：13 November 2020，
  
  Revised：2020-12-13，
  
  Published：15 April 2021
- 稿件说明：
移动端阅览
Ye ZHANG, Li WANG, Jingna ZHANG, et al. Application of functional near-infrared imaging for conflict monitoring: a preliminary study in 28 adults[J]. Journal of Third Military Medical University, 2021, 43(7): 622-628.
DOI：

Ye ZHANG, Li WANG, Jingna ZHANG, et al. Application of functional near-infrared imaging for conflict monitoring: a preliminary study in 28 adults[J]. Journal of Third Military Medical University, 2021, 43(7): 622-628. DOI： 10.16016/j.1000-5404.202011128.

摘要

目的

运用近红外功能成像技术研究反应时不同的两组被试在冲突监测任务下大脑血氧反应的差异，探讨大脑冲突监测功能的神经机制。

方法

选取28名本校在校学生作为健康被试，其中男性16名，女性12名，年龄17~20（18.79±0.55）岁。运用近红外功能成像技术（functional near-infrared spectroscopy，fNIRS）采集被试Stroop任务下大脑的血氧浓度变化量。根据他们在Stroop任务中的反应时分为快组和慢组，每组14名。通过nirsLAB软件进行数据分析，对比两组被试大脑血氧反应的差异，并计算被试行为学指标与其大脑血氧浓度变化的相关关系。

结果

Stroop任务主要激活的脑区位于双侧背外侧前额叶（dorsolateral prefrontal cortex

DLPFC）和额极区。相比慢组，Stroop任务下快组的脱氧血红蛋白（Hb）浓度变化显著降低（

0.05），主要位于左侧DLPFC和额极区。同时，Ch4通道Hb的浓度变化值与被试反应时呈现正相关关系(

=0.422 3

=0.025 2)。

结论

实验结果验证了DLPFC在冲突监测功能中的核心作用，同时发现左侧额极区的Hb浓度变化可以作为反映大脑冲突监测功能的重要指标。

Abstract

Objective

To study the difference of cerebral blood oxygen response of subjects with different reaction speed under conflict task with the aid of functional near-infrared spectroscopy (fNIRS) in order to explore the neural mechanism of conflict monitoring.

Methods

Twenty-eight healthy students from our university were recruited as the subjects. They were 16 males and 12 females

at an age of 17~20 (18.79±0.55) years. The changes of blood oxygen concentration in the brain of these subjects during Stroop task were collected by fNIRS. According to their response time in Stroop task

they were assigned into fast group and slow group

with 14 students in each group. The data were analyzed by nirsLAB software to compare the changes of the relative concentration of oxygenated hemoglobin (HbO

) and the relative concentration of deoxygenated hemoglobin (Hb) between the 2 groups

and the correlation between the behavioral indexes and the changes of cerebral blood oxygen concentration was analyzed.

Results

Stroop task mainly activated bilateral dorsolateral prefrontal cortex (DLPFC) and frontal polar region. Compared with the slow group

the relative concentration of Hb was decreased significantly in the fast group under Stroop task

mainly located in the left DLPFC and frontal polar region (

0.05). Also

the relative concentration of Hb in Ch4 channel was positively correlated with the reaction time(

=0.422 3

=0.025 2).

Conclusion

Our results verify the core role of DLPFC in conflict monitoring

and find that the relative change of Hb concentration in the left frontal polar region can be regarded as an important indicator to reflect the conflict monitoring of the subjects.

关键词

Keywords

references

ARANEDA R, RENIER L, DRICOT L, et al . A key role of the prefrontal cortex in the maintenance of chronic tinnitus: an fMRI study using a Stroop task[J ] . Neuroimage Clin, 2018, 17: 325-334. DOI:10.1016/j.nicl.2017.10.029.

AARTS E, ROELOFS A, VAN TURENNOUT M. Attentional control of task and response in lateral and medial frontal cortex: brain activity and reaction time distributions[J]. Neuropsychologia, 2009, 47(10): 2089-2099. DOI:10.1016/j.neuropsychologia.2009.03.019.

ALEXANDER W H, BROWN J W. Medial prefrontal cortex asan action-outcome predictor[J]. Nat Neurosci, 2011, 14(10): 1338-1344. DOI:10.1038/nn.2921.

BOTVINICK M M. Conflict monitoring and decision making: reconciling two perspectives on anterior cingulate function[J]. Cogn Affect Behav Neurosci, 2007, 7(4): 356-366. DOI:10.3758/cabn.7.4.356.

DAVELAAR E J, STEVENS J. Sequential dependencies in the Eriksen flanker task: a direct comparison of two competing accounts[J]. Psychon Bull Rev, 2009, 16(1):121-126. DOI:10.3758/pbr.16.1.121.

GRINBAND J, SAVITSKAYA J, WAGER T D, et al . The dorsal medial frontal cortex is sensitive to time on task, not response conflict or error likelihood[J ] . NeuroImage, 2011, 57(2): 303-311. DOI:10.1016/j.neuroimage.2010.12.027.

FERRARI M, QUARESIMA V. A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application[J]. NeuroImage, 2012, 63(2): 921-935. DOI:10.1016/j.neuroimage.2012.03.049.

STROOP J R. Studies of interference in serial verbal reactions[J]. J Exp Psychol, 1935, 18(6): 643-662. DOI:10.1037/h0054651.

王莉, 桑林琼, 张晔, 等. 工作记忆任务的近红外脑功能成像研究[J]. 第三军医大学学报, 2019, 41(21): 2061-2068. DOI:DOI:10.16016/j.1000-5404.201907031.

WANG L, SANG L Q, ZHANG Y, et al . Near infrared brain functional imaging of working memory in health young individuals[J ] . J Third Mil Med Univ, 2019, 41(21): 2061-2068. DOI:DOI:10.16016/j.1000-5404.201907031.

LUU S, CHAU T. Decoding subjective preference from single-trial near-infrared spectroscopy signals[J]. J Neural Eng, 2009, 6(1): 016003. DOI:10.1088/1741-2560/6/1/016003.

张静娜, 王莉, 张晔, 等. 基于功能近红外光谱技术的镜像运动脑激活特征的初步研究[J]. 第三军医大学学报, 2018, 40(18): 1682-1687.

ZHANG J N, WANG L, ZHANG Y, et al . Brain activation characteristics during mirror movements in healthy subjects: findings by functional near-infrared spectroscopy [J ] . J Third Mil Med Univ, 2018, 40(18): 1682-1687. DOI:10.16016/j.1000-5404.201804010.

USMAN D, STORES F S. On some data pre-processing techniques for K-means clustering algorithm[J]. J Phys Conf Ser, 2020, 1489: 012029. DOI:10.1088/1742-6596/1489/1/012029.

LAGUË-BEAUVAIS M, BRUNET J, GAGNON L, et al . A fNIRS investigation of switching and inhibition during the modified Stroop task in younger and older adults[J ] . Neuroimage, 2013, 64: 485-495. DOI:10.1016/j.neuroimage.2012.09.042.

VANDERHASSELT M A, DE RAEDT R, BAEKEN C. Dorsolateral prefrontal cortex and Stroop performance: tackling the lateralization[J]. Psychon Bull Rev, 2009, 16(3): 609-612. DOI:10.3758/pbr.16.3.609.

XU X, DENG Z Y, HUANG Q, et al . Prefrontal cortex-mediated executive function as assessed by Stroop task performance associates with weight loss among overweight and obese adolescents and young adults[J ] . Behav Brain Res, 2017, 321: 240-248. DOI:10.1016/j.bbr.2016.12.040.

BOTVINICK M M, BRAVER T S, BARCH D M, et al . Conflict monitoring and cognitive control[J ] . Psychol Rev, 2001, 108(3): 624-652. DOI:10.1037/0033-295x.108.3.624.

PLENGER P, KRISHNAN K, CLOUD M, et al . fNIRS-based investigation of the Stroop task after TBI[J ] . Brain Imaging Behav, 2016, 10(2): 357-366. DOI:10.1007/s11682-015-9401-9.

NISHIZAWA Y, KANAZAWA T, KAWABATA Y, et al . fNIRS assessment during an emotional stroop task among patients with depression: replication and extension[J ] . Psychiatry Investig, 2019, 16(1): 80-86. DOI:10.30773/pi.2018.11.12.2.

SEMENDEFERI K, ARMSTRONG E, SCHLEICHER A, et al . Prefrontal cortex in humans and apes: a comparative study of area 10[J ] . Am J Phys Anthropol, 2001, 114(3): 224-241. DOI:10.1002/1096-8644(200103)114: 3224: aid-ajpa1022 > 3.0.co;2-i.

BOORMAN E D, BEHRENS T E, WOOLRICH M W, et al . How green is the grass on the other side? Frontopolar cortex and the evidence in favor of alternative courses of action[J ] . Neuron, 2009, 62(5): 733-743. DOI:10.1016/j.neuron.2009.05.014.

CHARRON S, KOECHLIN E. Divided representation of concurrent goals in the human frontal lobes[J]. Science, 2010, 328(5976): 360-363. DOI:10.1126/science.1183614.

MANSOURI F A, KOECHLIN E, ROSA M G P, et al . Managing competing goals-a key role for the frontopolar cortex[J ] . Nat Rev Neurosci, 2017, 18(11): 645-657. DOI:10.1038/nrn.2017.111.

PENG K, STEELE S C, BECERRA L, et al . Brodmann area 10: Collating, integrating and high level processing of nociception and pain[J ] . Prog Neurobiol, 2018, 161: 1-22. DOI:10.1016/j.pneurobio.2017.11.004.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰