{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T09:02:18Z","timestamp":1789722138836,"version":"4.0.1"},"reference-count":55,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T00:00:00Z","timestamp":1738886400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Aging Neurosci."],"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>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).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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\u201315 s) and late stage (15\u201330 s). We also measured participants\u2019 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>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 (<jats:italic>q<\/jats:italic> &amp;lt; 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 (<jats:italic>q<\/jats:italic> &amp;lt; 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 (<jats:italic>p<\/jats:italic> &amp;lt; 0.05). However, no correlation was found with behavioral performance.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fnagi.2025.1470747","type":"journal-article","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T06:52:49Z","timestamp":1738911169000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Brain compensatory activation during Stroop task in patients with mild cognitive impairment: a functional near-infrared spectroscopy study"],"prefix":"10.3389","volume":"17","author":[{"given":"Chenyu","family":"Fan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanfei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guohui","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyu","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haozheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,2,7]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1016\/j.neuropsychologia.2009.10.021","article-title":"Inhibition impairments in Alzheimer\u2019s disease, mild cognitive impairment and healthy aging: Effect of congruency proportion in a Stroop task.","volume":"48","author":"B\u00e9langer","year":"2010","journal-title":"Neuropsychologia"},{"key":"B2","doi-asserted-by":"publisher","first-page":"1562","DOI":"10.1006\/nimg.2002.1252","article-title":"Dissociable contributions of prefrontal and parietal cortices to response selection.","volume":"17","author":"Bunge","year":"2002","journal-title":"Neuroimage"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1016\/j.arr.2023.101992","article-title":"A promising tool to explore functional impairment in neurodegeneration: A systematic review of near-infrared spectroscopy in dementia.","volume":"90","author":"Butters","year":"2023","journal-title":"Ageing Res. 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