{"id":885,"date":"2024-02-08T05:23:40","date_gmt":"2024-02-08T05:23:40","guid":{"rendered":"https:\/\/cifasd.org\/?page_id=885"},"modified":"2024-02-08T17:32:31","modified_gmt":"2024-02-08T17:32:31","slug":"brain-growth-chart-identifies-more-children-affected-by-prenatal-alcohol-exposure","status":"publish","type":"page","link":"https:\/\/cifasd.org\/news\/brain-growth-chart-identifies-more-children-affected-by-prenatal-alcohol-exposure\/","title":{"rendered":"Brain Growth Chart Identifies More Children Affected by Prenatal Alcohol Exposure"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-883\" src=\"https:\/\/cifasd.org\/wp-content\/uploads\/2024\/02\/250-brain-growth.jpg\" alt=\"Brain Growth\" width=\"250\" height=\"150\" \/><\/p>\n<p><strong>CIFASD investigator, Dr. Jeff Wozniak, uses brain growth chart to improve identification of individuals with FASD.<\/strong><\/p>\n<p>Diagnosis of FASD depends on determining if there is a brain growth anomaly. By applying a large normative database of brain MRI images, we are able to better identify some children with FASD who might not otherwise be able to be classified as having a true brain growth anomaly.<\/p>\n<p>This method may also help us to track individual brain growth over time in a much more sophisticated manner. This approach may help improve the accuracy of diagnosis and may provide a way to track brain development over time in a detailed manner (to measure recovery, response to treatment, etc.).<\/p>\n<p>See: <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38065282\/\" rel=\"noopener\" target=\"_blank\">Gimbel, et al., Normative Magnetic Resonance Imaging Data Increase the Sensitivity to Brain Volume Abnormalities in the Classification of Fetal Alcohol Spectrum Disorder, The Journal of Pediatrics, Vol. 266, 113868<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>CIFASD investigator, Dr. Jeff Wozniak, uses brain growth chart to improve identification of individuals with FASD. Diagnosis of FASD depends on determining if there is a brain growth anomaly. By applying a large normative database of brain MRI images, we are able to better identify some children with FASD who might not otherwise be able [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":47,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"_links":{"self":[{"href":"https:\/\/cifasd.org\/wp-json\/wp\/v2\/pages\/885"}],"collection":[{"href":"https:\/\/cifasd.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cifasd.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cifasd.org\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cifasd.org\/wp-json\/wp\/v2\/comments?post=885"}],"version-history":[{"count":6,"href":"https:\/\/cifasd.org\/wp-json\/wp\/v2\/pages\/885\/revisions"}],"predecessor-version":[{"id":898,"href":"https:\/\/cifasd.org\/wp-json\/wp\/v2\/pages\/885\/revisions\/898"}],"up":[{"embeddable":true,"href":"https:\/\/cifasd.org\/wp-json\/wp\/v2\/pages\/47"}],"wp:attachment":[{"href":"https:\/\/cifasd.org\/wp-json\/wp\/v2\/media?parent=885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}