{"id":18969,"date":"2025-02-27T14:45:33","date_gmt":"2025-02-27T14:45:33","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=18969"},"modified":"2025-02-27T14:45:34","modified_gmt":"2025-02-27T14:45:34","slug":"new-ai-model-measures-the-speed-of-brain-aging","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-ai-model-measures-the-speed-of-brain-aging\/","title":{"rendered":"New AI Model Measures the Speed of Brain Aging"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">A new AI model by USC researchers offers a powerful non-invasive method to measure the pace of brain aging, potentially transforming dementia and cognitive decline treatments.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>An artificial intelligence model developed by researchers at the University of Southern California (USC) has made significant strides in measuring the speed at which the brain ages. This new tool offers hope for enhanced understanding, prevention and treatment of cognitive decline and dementia.<\/p>\n\n\n\n<p>&#8220;This is a novel measurement that could change the way we track brain health both in the research lab and in the clinic,&#8221; senior author Andrei Irimia, an associate professor at the USC Leonard Davis School of Gerontology, said in a <a href=\"https:\/\/gero.usc.edu\/2025\/02\/24\/new-ai-model-measures-how-fast-the-brain-ages\/\" target=\"_blank\" rel=\"noopener\" title=\"\">news release<\/a>. &#8220;Knowing how fast one\u2019s brain is aging can be powerful.&#8221;<\/p>\n\n\n\n<p><a href=\"https:\/\/www.pnas.org\/doi\/10.1073\/pnas.2413442122\" target=\"_blank\" rel=\"noopener\" title=\"\">Published<\/a> in the Proceedings of the National Academy of Sciences, the study details how this first-of-its-kind AI model analyzes magnetic resonance imaging (MRI) scans to non-invasively track brain changes over time.<\/p>\n\n\n\n<p>Irimia emphasizes the importance of this development, noting that faster brain aging is closely linked to a higher risk of cognitive impairment.<\/p>\n\n\n\n<p>Unlike traditional methods that rely on blood samples to measure biological age, this AI tool leverages advanced deep learning techniques to provide a more precise measure of brain aging. A key limitation of existing models is their inability to track changes over time, whereas this new model employs a longitudinal approach, comparing baseline and follow-up MRI scans from the same individual.<\/p>\n\n\n\n<p>The AI model, a three-dimensional convolutional neural network (3D-CNN), was developed in collaboration with Paul Bogdan, associate professor at the USC Viterbi School of Engineering. <\/p>\n\n\n\n<p>The researchers trained and validated the model using over 3,000 MRI scans of cognitively normal adults. By applying the model to a group of 104 cognitively healthy adults and 140 Alzheimer\u2019s patients, they found a close correlation between brain aging speed and cognitive test results, underlining the model\u2019s potential as a diagnostic tool.<\/p>\n\n\n\n<p>This model holds significant promise for characterizing both healthy aging and disease trajectories, and may one day enable personalized treatment plans based on individual aging rates, according to Bogdan.<\/p>\n\n\n\n<p>\u201cRates of brain aging are correlated significantly with changes in cognitive function,\u201d Irimia added. \u201cSo, if you have a high rate of brain aging, you\u2019re more likely to have a high rate of degradation in cognitive function, including memory, executive speed, executive function and processing speed.\u201d<\/p>\n\n\n\n<p>Further studies indicated that brain aging rates differed between brains of men and women, which may offer insights into varying risks for neurodegenerative disorders like Alzheimer&#8217;s between the sexes. <\/p>\n\n\n\n<p>Irimia noted that this model also has the potential to identify individuals with accelerated brain aging before symptoms of cognitive impairment arise, providing early intervention opportunities.<\/p>\n\n\n\n<p>\u201cOne thing that my lab is very interested in is estimating risk for Alzheimer\u2019s; we\u2019d like to one day be able to say, \u2018Right now, it looks like this person has a 30% risk for Alzheimer&#8217;s,\u2019\u201d Irimia added. \u201cI think this kind of measure will be very helpful to produce variables that are prognostic and can help to forecast Alzheimer&#8217;s risk. That would be really powerful, especially as we start developing potential drugs for prevention.\u201d<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>An artificial intelligence model developed by researchers at the University of Southern California (USC) has made significant strides in measuring the speed at which the brain ages. This new tool offers hope for enhanced understanding, prevention and treatment of cognitive decline and dementia. &#8220;This is a novel measurement that could change the way we track [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[40],"class_list":["post-18969","post","type-post","status-publish","format-standard","hentry","category-ai","tag-university-of-southern-california"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"An artificial intelligence model developed by researchers at the University of Southern California (USC) has made significant strides in measuring the speed at which the brain ages. This new tool offers hope for enhanced understanding, prevention and treatment of cognitive decline and dementia. &#8220;This is a novel measurement that could change the way we track&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/18969","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=18969"}],"version-history":[{"count":11,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/18969\/revisions"}],"predecessor-version":[{"id":19117,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/18969\/revisions\/19117"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=18969"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=18969"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=18969"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}