Brain compensatory activation during Stroop task in patients with mild cognitive impairment: a functional near-infrared spectroscopy study

被引：0
作者：
Fan, Chenyu [1 ]
Li, Hanfei [2 ,3 ]
Chen, Ke [2 ,3 ]
Yang, Guohui [1 ]
Xie, Hongyu [1 ]
Li, Haozheng [1 ]
Wu, Yi [1 ]
Li, Meng [2 ,3 ,4 ]
机构：
[1] Fudan Univ, Huashan Hosp, Dept Rehabil Med, Shanghai, Peoples R China
[2] Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, State Key Lab Transducer Technol, Shanghai, Peoples R China
[3] Univ Chinese Acad Sci, State Key Lab Transducer Technol, Beijing, Peoples R China
[4] INSIDE Inst Biol & Artificial Intelligence, Shanghai, Peoples R China
来源：
FRONTIERS IN AGING NEUROSCIENCE | 2025年 / 17卷
基金：
中国国家自然科学基金;
关键词：
mild cognitive impairment; fNIRS; executive function; Stroop task; cortical compensatory activation; FMRI; INTERFERENCE; ASYMMETRY; CONFLICT; SYSTEM; CORTEX;
D O I：
10.3389/fnagi.2025.1470747
中图分类号：
R592 [老年病学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 100203 ;
摘要：
Purpose This study investigated the disparities in brain activation patterns during the Stroop task among individuals with mild cognitive impairment (MCI) and those without any cognitive impairments (healthy controls, HCs) using functional near-infrared spectroscopy (fNIRS). Methods We analyzed the cortical activation patterns of 73 patients with MCI and 63 HC individuals as they completed the Stroop task, employing fNIRS. The regions of interest (ROIs) included the dorsal prefrontal cortex (dPFC), ventrolateral prefrontal cortex (VLPFC), and parietal lobe (PL). The Stroop task is divided into early stage (0-15 s) and late stage (15-30 s). We also measured participants' behavior during the Stroop task, analyzed variations in cortical activation intensity at different experiment stages, and performed correlation analysis between Montreal Cognitive Assessment (MoCA) scores, Stroop performance, and oxygenation levels. Results Our analysis revealed that individuals with MCI and HC demonstrated elevated cortical activation in the dPFC, VLPFC, and PL areas while performing the Stroop task (q < 0.05, FDR-corrected). The MCI group displayed longer response latencies compared to the HC group while demonstrating comparable accuracy performance across both congruent and incongruent Stroop trials. The MCI group showed compensatory activation in the VLPFC, and PL regions compared to the HC group during the late stage of the Stroop task (q < 0.05, FDR-corrected). Correlational analysis revealed a negative association between MoCA scores and oxygenation levels in the dPFC, VLPFC, and PL regions during the late stage of the Stroop task (p < 0.05). However, no correlation was found with behavioral performance. Conclusion Mild cognitive impairment patients demonstrated effective compensation for their cognitive impairments at a partial behavioral level by engaging compensatory activation in the prefrontal, and parietal regions while performing the Stroop task.
引用
收藏
页数：12
相关论文
共 55 条
  • [41] Stojan R., Mack M., Bock O., Voelcker-Rehage C., Inefficient frontal and parietal brain activation during dual-task walking in a virtual environment in older adults, Neuroimage, 273, (2023)
  • [42] Stroop J.R., Studies of interference in serial verbal reactions, J. Exp. Psychol, 18, 643, (1935)
  • [43] Ung W.C., Yap K.H., Ebenezer E.G.M., Chin P.S., Nordin N., Chan S.C., Et al., Assessing neural compensation with visuospatial working memory load using near-infrared imaging, IEEE Trans. Neural Syst. Rehabil. Eng, 28, pp. 13-22, (2020)
  • [44] van Veen V., Carter C.S., Separating semantic conflict and response conflict in the stroop task: A functional MRI study, Neuroimage, 27, pp. 497-504, (2005)
  • [45] Vernooij M.W., Smits M., Wielopolski P.A., Houston G.C., Krestin G.P., van der Lugt A., Fiber density asymmetry of the arcuate fasciculus in relation to functional hemispheric language lateralization in both right- and left-handed healthy subjects: A combined fMRI and DTI study, Neuroimage, 35, pp. 1064-1076, (2007)
  • [46] Vincent J.L., Kahn I., Snyder A.Z., Raichle M.E., Buckner R.L., Evidence for a frontoparietal control system revealed by intrinsic functional connectivity, J. Neurophysiol, 100, pp. 3328-3342, (2008)
  • [47] West R.L., An application of prefrontal cortex function theory to cognitive aging, Psychol. Bull, 120, pp. 272-292, (1996)
  • [48] Westfall J., Kenny D.A., Judd C.M., Statistical power and optimal design in experiments in which samples of participants respond to samples of stimuli, J. Exp. Psychol. Gen, 143, pp. 2020-2045, (2014)
  • [49] Yang D., Hong K., Yoo S., Kim C., Evaluation of neural degeneration biomarkers in the prefrontal cortex for early identification of patients with mild cognitive impairment: An fNIRS study, Front. Hum. Neurosci, 13, 317, (2019)
  • [50] Yang D., Huang R., Yoo S., Shin M., Yoon J.A., Shin Y., Et al., Detection of mild cognitive impairment using convolutional neural network: Temporal-feature maps of functional near-infrared spectroscopy, Front. Aging Neurosci, 12, 141, (2020)
123456