{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T20:09:17Z","timestamp":1771618157695,"version":"3.50.1"},"reference-count":55,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82301300"],"award-info":[{"award-number":["82301300"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Capital\u2019s Funds for Health Improvement and Research","award":["2024-1-1091"],"award-info":[{"award-number":["2024-1-1091"]}]},{"name":"High-Level Public Health Technical Talent Training Plan"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Speech comprehension in noise depends on complex interactions between peripheral sensory and central cognitive systems. Despite having normal peripheral hearing, older adults show difficulties in speech comprehension. It remains unclear whether the brain\u2019s neural responses could indicate aging. The current study examined whether individual brain activation during speech perception in different listening environments could predict age. We applied functional near-infrared spectroscopy to 93 normal-hearing human adults (20 to 70\u00a0years old) during a sentence listening task, which contained a quiet condition and 4 different signal-to-noise ratios (SNR\u2009=\u200910, 5, 0, \u22125\u00a0dB) noisy conditions. A data-driven approach, the region-based brain-age predictive modeling was adopted. We observed a significant behavioral decrease with age under the 4 noisy conditions, but not under the quiet condition. Brain activations in SNR\u2009=\u200910\u00a0dB listening condition could successfully predict individual\u2019s age. Moreover, we found that the bilateral visual sensory cortex, left dorsal speech pathway, left cerebellum, right temporal\u2013parietal junction area, right homolog Wernicke\u2019s area, and right middle temporal gyrus contributed most to prediction performance. These results demonstrate that the activations of regions about sensory-motor mapping of sound, especially in noisy conditions, could be sensitive measures for age prediction than external behavior measures.<\/jats:p>","DOI":"10.1093\/cercor\/bhae178","type":"journal-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T05:10:12Z","timestamp":1715145012000},"source":"Crossref","is-referenced-by-count":4,"title":["Neural processing of speech comprehension in noise predicts individual age using fNIRS-based brain-behavior models"],"prefix":"10.1093","volume":"34","author":[{"given":"Yi","family":"Liu","sequence":"first","affiliation":[{"name":"Beijing Institute of Otolaryngology, Otolaryngology-Head and Neck Surgery, Key Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing Tongren Hospital, Capital Medical University , No. 17, Hougou Hutong, Dongcheng District, Beijing 100005 , 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