Amy E Ramage1, Ai-Ling Lin2, Rene L Olvera3, Peter T Fox4, Douglas E Williamson5. 1. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States. Electronic address: ramagea@uthscsa.edu. 2. Sanders-Brown Center on Aging and Department of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY, United States. 3. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States. 4. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; Departments of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; Departments of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; Departments of Physiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States. 5. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States; Departments of Epidemiology & Biostatistics, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.
Abstract
BACKGROUND: Adolescence is a period of developmental flux when brain systems are vulnerable to influences of early substance use, which in turn relays increased risk for substance use disorders. Our study intent was to assess adolescent regional cerebral blood flow (rCBF) as it relates to current and future alcohol use. The aim was to identify brain-based predictors for initiation of alcohol use and onset of future substance use disorders. METHODS: Quantitative rCBF was assessed in 100 adolescents (age 12-15). Prospective behavioral assessments were conducted annually over a three-year follow-up period to characterize onset of alcohol initiation, future drinking patterns and use disorders. Comparisons amongst use groups (i.e., current-, future-, and non-alcohol using adolescents) identified rCBF associated with initiation of alcohol use. Regression by future drinking patterns identified rCBF predictive of heavier drinking. Survival analysis determined whether or not baseline rCBF predicted later development of use disorders. RESULTS: Baseline rCBF was decreased to the parietal cortex and increased to mesolimbic regions in adolescents currently using alcohol as well as those who would use alcohol in the future. Higher baseline rCBF to the left fusiform gyrus and lower rCBF to the right inferior parietal cortex and left cerebellum was associated with future drinking patterns as well as predicted the onset of alcohol and substance use disorders in this cohort. CONCLUSIONS: Variations in resting rCBF to regions within reward and default mode or control networks appear to represent trait markers of alcohol use initiation and are predictive of future development of use disorders.
BACKGROUND: Adolescence is a period of developmental flux when brain systems are vulnerable to influences of early substance use, which in turn relays increased risk for substance use disorders. Our study intent was to assess adolescent regional cerebral blood flow (rCBF) as it relates to current and future alcohol use. The aim was to identify brain-based predictors for initiation of alcohol use and onset of future substance use disorders. METHODS: Quantitative rCBF was assessed in 100 adolescents (age 12-15). Prospective behavioral assessments were conducted annually over a three-year follow-up period to characterize onset of alcohol initiation, future drinking patterns and use disorders. Comparisons amongst use groups (i.e., current-, future-, and non-alcohol using adolescents) identified rCBF associated with initiation of alcohol use. Regression by future drinking patterns identified rCBF predictive of heavier drinking. Survival analysis determined whether or not baseline rCBF predicted later development of use disorders. RESULTS: Baseline rCBF was decreased to the parietal cortex and increased to mesolimbic regions in adolescents currently using alcohol as well as those who would use alcohol in the future. Higher baseline rCBF to the left fusiform gyrus and lower rCBF to the right inferior parietal cortex and left cerebellum was associated with future drinking patterns as well as predicted the onset of alcohol and substance use disorders in this cohort. CONCLUSIONS: Variations in resting rCBF to regions within reward and default mode or control networks appear to represent trait markers of alcohol use initiation and are predictive of future development of use disorders.
Authors: Jiongjiong Wang; David C Alsop; Hee Kwon Song; Joseph A Maldjian; Kathy Tang; Alana E Salvucci; John A Detre Journal: Magn Reson Med Date: 2003-09 Impact factor: 4.668
Authors: B Birmaher; N D Ryan; D E Williamson; D A Brent; J Kaufman; R E Dahl; J Perel; B Nelson Journal: J Am Acad Child Adolesc Psychiatry Date: 1996-11 Impact factor: 8.829
Authors: P Cohen; J Cohen; S Kasen; C N Velez; C Hartmark; J Johnson; M Rojas; J Brook; E L Streuning Journal: J Child Psychol Psychiatry Date: 1993-09 Impact factor: 8.982
Authors: Reagan R Wetherill; Sunita Bava; Wesley K Thompson; Veronique Boucquey; Carmen Pulido; Tony T Yang; Susan F Tapert Journal: Brain Res Date: 2011-11-11 Impact factor: 3.252
Authors: Andria L Norman; Carmen Pulido; Lindsay M Squeglia; Andrea D Spadoni; Martin P Paulus; Susan F Tapert Journal: Drug Alcohol Depend Date: 2011-07-22 Impact factor: 4.492
Authors: E Serap Monkul; Leandro A P Silva; Shalini Narayana; Marco A M Peluso; Frank Zamarripa; Fabiano G Nery; Pablo Najt; John Li; Jack L Lancaster; Peter T Fox; Beny Lafer; Jair C Soares Journal: Hum Brain Mapp Date: 2011-03-09 Impact factor: 5.038
Authors: Nourhan M Elsayed; M Justin Kim; Kristina M Fields; Rene L Olvera; Ahmad R Hariri; Douglas E Williamson Journal: J Am Acad Child Adolesc Psychiatry Date: 2018-06-18 Impact factor: 8.829
Authors: Eseosa T Ighodaro; Erin L Abner; David W Fardo; Ai-Ling Lin; Yuriko Katsumata; Frederick A Schmitt; Richard J Kryscio; Gregory A Jicha; Janna H Neltner; Sarah E Monsell; Walter A Kukull; Debra K Moser; Frank Appiah; Adam D Bachstetter; Linda J Van Eldik; Peter T Nelson Journal: J Cereb Blood Flow Metab Date: 2016-01-06 Impact factor: 6.200
Authors: Marisa M Silveri; Alecia D Dager; Julia E Cohen-Gilbert; Jennifer T Sneider Journal: Neurosci Biobehav Rev Date: 2016-07-01 Impact factor: 8.989
Authors: Briana Lees; Alexis M Garcia; Jennifer Debenham; Anna E Kirkland; Brittany E Bryant; Louise Mewton; Lindsay M Squeglia Journal: Neuropharmacology Date: 2021-02-16 Impact factor: 5.250