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Wade NE, McCabe CJ, Wallace AL, Gonzalez MR, Hoh E, Infante MA, Mejia MH, Haist F. Clouding up cognition?: Secondhand cannabis and tobacco exposure related to cognitive functioning in youth. Biological Psychiatry Global Open Science 2022; 3:233-242. [PMID: 37124351 PMCID: PMC10140452 DOI: 10.1016/j.bpsgos.2022.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 01/27/2022] [Accepted: 01/29/2022] [Indexed: 11/30/2022] Open
Abstract
Background Increasing legalization of cannabis, in addition to longstanding rates of tobacco use, raises concerns for possible cognitive decrements from secondhand smoke or environmental exposure, although little research exists. We investigate the relation between cognition and secondhand and environmental cannabis and tobacco exposure in youth. Methods The Adolescent Brain Cognitive Development (ABCD) Study year 2 follow-up (N = 5580; 48% female) cognitive performance and secondhand or environmental cannabis or tobacco exposure data were used. Principal components analysis identified a global cognition factor. Linear mixed-effects models assessed global cognition and individual cognitive task performance by cannabis and/or tobacco environmental exposure. Sociodemographics and other potential confounds were examined. p values were adjusted using the false discovery rate method. Results Global cognition was not related to any exposure group after testing corrections and considering confounds. Beyond covariates and family- and site-level factors, secondhand tobacco was related to poorer visual memory (p = .02), and environmental tobacco was associated with poorer visuospatial (p = .02) and language (p = .008) skills. Secondhand cannabis was related to cognition, but not after controlling for potential confounders (p > .05). Environmental cannabis was related to better oral reading (p = .01). Including covariates attenuated effect sizes. Conclusions Secondhand tobacco exposure was associated with poorer visual memory, while environmental tobacco exposure was related to poorer language and visuospatial skills. Secondhand cannabis was not related to cognition after controlling for sociodemographic factors, but environmental cannabis exposure was related to better reading. Because, to our knowledge, this is the first known study of its kind and thus preliminary, secondhand cannabis should continue to be investigated to confirm results.
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Affiliation(s)
- Natasha E. Wade
- Department of Psychiatry, University of California San Diego, San Diego, California
- Address correspondence to Natasha E. Wade, Ph.D.
| | - Connor J. McCabe
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Alexander L. Wallace
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
| | - Marybel R. Gonzalez
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Eunha Hoh
- School of Public Health, San Diego State University, San Diego, California
| | - M. Alejandra Infante
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Margie Hernandez Mejia
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Frank Haist
- Department of Psychiatry, University of California San Diego, San Diego, California
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2
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Infante MA, Eberson SC, Zhang Y, Brumback T, Brown SA, Colrain IM, Baker FC, Clark DB, De Bellis MD, Goldston D, Nagel BJ, Nooner KB, Zhao Q, Pohl KM, Sullivan EV, Pfefferbaum A, Tapert SF, Thompson WK. Adolescent Binge Drinking Is Associated With Accelerated Decline of Gray Matter Volume. Cereb Cortex 2021; 32:2611-2620. [PMID: 34729592 DOI: 10.1093/cercor/bhab368] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/27/2021] [Accepted: 08/28/2021] [Indexed: 11/12/2022] Open
Abstract
The age- and time-dependent effects of binge drinking on adolescent brain development have not been well characterized even though binge drinking is a health crisis among adolescents. The impact of binge drinking on gray matter volume (GMV) development was examined using 5 waves of longitudinal data from the National Consortium on Alcohol and NeuroDevelopment in Adolescence study. Binge drinkers (n = 166) were compared with non-binge drinkers (n = 82 after matching on potential confounders). Number of binge drinking episodes in the past year was linked to decreased GMVs in bilateral Desikan-Killiany cortical parcellations (26 of 34 with P < 0.05/34) with the strongest effects observed in frontal regions. Interactions of binge drinking episodes and baseline age demonstrated stronger effects in younger participants. Statistical models sensitive to number of binge episodes and their temporal proximity to brain volumes provided the best fits. Consistent with prior research, results of this study highlight the negative effects of binge drinking on the developing brain. Our results present novel findings that cortical GMV decreases were greater in closer proximity to binge drinking episodes in a dose-response manner. This relation suggests a causal effect and raises the possibility that normal growth trajectories may be reinstated with alcohol abstinence.
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Affiliation(s)
- M A Infante
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - S C Eberson
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Y Zhang
- Division of Biostatistics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, USA.,Population Neuroscience and Genetics Lab, University of California, San Diego, USA
| | - T Brumback
- Department of Psychological Science, Northern Kentucky University, Kentucky, USA
| | - S A Brown
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.,Department of Psychology, University of California, San Diego, La Jolla, CA, USA
| | - I M Colrain
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - F C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - D B Clark
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - M D De Bellis
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, USA
| | - D Goldston
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, USA
| | - B J Nagel
- Departments of Psychiatry and Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR, USA
| | - K B Nooner
- Department of Psychology, University of North Carolina Wilmington, Wilmington, NC, USA
| | - Q Zhao
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - K M Pohl
- Center for Health Sciences, SRI International, Menlo Park, CA, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - E V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - A Pfefferbaum
- Center for Health Sciences, SRI International, Menlo Park, CA, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - S F Tapert
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - W K Thompson
- Division of Biostatistics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, USA.,Population Neuroscience and Genetics Lab, University of California, San Diego, USA.,Department of Radiology, University of California, San Diego, USA
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3
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Kwarteng AE, Rahman MM, Gee DG, Infante MA, Tapert SF, Curtis BL. Child reward neurocircuitry and parental substance use history: Findings from the Adolescent Brain Cognitive Development Study. Addict Behav 2021; 122:107034. [PMID: 34246036 PMCID: PMC8328938 DOI: 10.1016/j.addbeh.2021.107034] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 06/23/2021] [Accepted: 06/26/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND Substance use research has focused on family history of alcohol use disorders but less on other addictions in biological family members. We examined how parental substance use history relates to reward system functioning, specifically nucleus accumbens (NAcc) and putamen activation at age 9-10 in the Adolescent Brain Cognitive Development (ABCD) Study. This research hopes to address limitations in prior literature by focusing analyses on a large, substance-naïve sample. METHOD We included ABCD participants with valid Monetary Incentive Delay task fMRI Baseline data and parent substance use history at project baseline from Data Release 2.0 (N = 10,622). Parent-history-positive (PH+) participants had one or both biological parents with a history of two+problems with alcohol (n = 741; PH+A) and/or other drugs (n = 638; PH+D). Of participants who were parent-history-negative (PH-) for alcohol and/or drugs, a stratified random sample based on six sociodemographic variables was created and matched to the PH+group (PH-A n = 699; PH-D n = 615). The contrast of interest was anticipation of a large reward vs. neutral response. RESULTS PH+A youth had more activation in the right NAcc during large reward anticipation than PH-A. PH+D youth showed enhanced left putamen activation during large reward anticipation than PH-D youth. Bayesian hypothesis testing showed moderate evidence (BF > 3) in favor of the null hypothesis. CONCLUSION These findings suggest that pre-adolescents whose biological parents had a history of substance-related problems show small differences in reward processing compared to their PH- peers.
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Affiliation(s)
- Amy E Kwarteng
- National Institutes of Health, National Institute on Drug Abuse, Bethesda, MD, USA
| | - Muhammad M Rahman
- National Institutes of Health, National Institute on Drug Abuse, Bethesda, MD, USA
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, CT, USA
| | - M Alejandra Infante
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Susan F Tapert
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Brenda L Curtis
- National Institutes of Health, National Institute on Drug Abuse, Bethesda, MD, USA.
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4
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Chaarani B, Hahn S, Allgaier N, Adise S, Owens MM, Juliano AC, Yuan DK, Loso H, Ivanciu A, Albaugh MD, Dumas J, Mackey S, Laurent J, Ivanova M, Hagler DJ, Cornejo MD, Hatton S, Agrawal A, Aguinaldo L, Ahonen L, Aklin W, Anokhin AP, Arroyo J, Avenevoli S, Babcock D, Bagot K, Baker FC, Banich MT, Barch DM, Bartsch H, Baskin-Sommers A, Bjork JM, Blachman-Demner D, Bloch M, Bogdan R, Bookheimer SY, Breslin F, Brown S, Calabro FJ, Calhoun V, Casey BJ, Chang L, Clark DB, Cloak C, Constable RT, Constable K, Corley R, Cottler LB, Coxe S, Dagher RK, Dale AM, Dapretto M, Delcarmen-Wiggins R, Dick AS, Do EK, Dosenbach NUF, Dowling GJ, Edwards S, Ernst TM, Fair DA, Fan CC, Feczko E, Feldstein-Ewing SW, Florsheim P, Foxe JJ, Freedman EG, Friedman NP, Friedman-Hill S, Fuemmeler BF, Galvan A, Gee DG, Giedd J, Glantz M, Glaser P, Godino J, Gonzalez M, Gonzalez R, Grant S, Gray KM, Haist F, Harms MP, Hawes S, Heath AC, Heeringa S, Heitzeg MM, Hermosillo R, Herting MM, Hettema JM, Hewitt JK, Heyser C, Hoffman E, Howlett K, Huber RS, Huestis MA, Hyde LW, Iacono WG, Infante MA, Irfanoglu O, Isaiah A, Iyengar S, Jacobus J, James R, Jean-Francois B, Jernigan T, Karcher NR, Kaufman A, Kelley B, Kit B, Ksinan A, Kuperman J, Laird AR, Larson C, LeBlanc K, Lessov-Schlagger C, Lever N, Lewis DA, Lisdahl K, Little AR, Lopez M, Luciana M, Luna B, Madden PA, Maes HH, Makowski C, Marshall AT, Mason MJ, Matochik J, McCandliss BD, McGlade E, Montoya I, Morgan G, Morris A, Mulford C, Murray P, Nagel BJ, Neale MC, Neigh G, Nencka A, Noronha A, Nixon SJ, Palmer CE, Pariyadath V, Paulus MP, Pelham WE, Pfefferbaum D, Pierpaoli C, Prescot A, Prouty D, Puttler LI, Rajapaske N, Rapuano KM, Reeves G, Renshaw PF, Riedel MC, Rojas P, de la Rosa M, Rosenberg MD, Ross MJ, Sanchez M, Schirda C, Schloesser D, Schulenberg J, Sher KJ, Sheth C, Shilling PD, Simmons WK, Sowell ER, Speer N, Spittel M, Squeglia LM, Sripada C, Steinberg J, Striley C, Sutherland MT, Tanabe J, Tapert SF, Thompson W, Tomko RL, Uban KA, Vrieze S, Wade NE, Watts R, Weiss S, Wiens BA, Williams OD, Wilbur A, Wing D, Wolff-Hughes D, Yang R, Yurgelun-Todd DA, Zucker RA, Potter A, Garavan HP. Baseline brain function in the preadolescents of the ABCD Study. Nat Neurosci 2021; 24:1176-1186. [PMID: 34099922 PMCID: PMC8947197 DOI: 10.1038/s41593-021-00867-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/30/2021] [Indexed: 02/05/2023]
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study® is a 10-year longitudinal study of children recruited at ages 9 and 10. A battery of neuroimaging tasks are administered biennially to track neurodevelopment and identify individual differences in brain function. This study reports activation patterns from functional MRI (fMRI) tasks completed at baseline, which were designed to measure cognitive impulse control with a stop signal task (SST; N = 5,547), reward anticipation and receipt with a monetary incentive delay (MID) task (N = 6,657) and working memory and emotion reactivity with an emotional N-back (EN-back) task (N = 6,009). Further, we report the spatial reproducibility of activation patterns by assessing between-group vertex/voxelwise correlations of blood oxygen level-dependent (BOLD) activation. Analyses reveal robust brain activations that are consistent with the published literature, vary across fMRI tasks/contrasts and slightly correlate with individual behavioral performance on the tasks. These results establish the preadolescent brain function baseline, guide interpretation of cross-sectional analyses and will enable the investigation of longitudinal changes during adolescent development.
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Affiliation(s)
- B Chaarani
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| | - S Hahn
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - N Allgaier
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Adise
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M M Owens
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A C Juliano
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D K Yuan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H Loso
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A Ivanciu
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M D Albaugh
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Dumas
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Mackey
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Laurent
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D J Hagler
- University of California, San Diego, La Jolla, CA, USA
| | - M D Cornejo
- Institute of Physics UC, Pontificia Universidad Catolica de Chile, Pontificia, Chile
| | - S Hatton
- University of California, San Diego, La Jolla, CA, USA
| | - A Agrawal
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - L Aguinaldo
- University of California, San Diego, La Jolla, CA, USA
| | - L Ahonen
- University of Pittsburgh, Pittsburgh, PA, USA
| | - W Aklin
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - A P Anokhin
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Arroyo
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S Avenevoli
- National Institute of Mental Health, Bethesda, MD, USA
| | - D Babcock
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - K Bagot
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - F C Baker
- SRI International, Menlo Park, CA, USA
| | - M T Banich
- University of Colorado, Boulder, CO, USA
| | - D M Barch
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H Bartsch
- Haukeland University Hospital, Bergen, Norway
| | | | - J M Bjork
- Virginia Commonwealth University, Richmond, VA, USA
| | - D Blachman-Demner
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - M Bloch
- National Cancer Institute, Bethesda, MD, USA
| | - R Bogdan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | | | - F Breslin
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - S Brown
- University of California, San Diego, La Jolla, CA, USA
| | - F J Calabro
- University of Pittsburgh, Pittsburgh, PA, USA
| | - V Calhoun
- University of Colorado, Boulder, CO, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | | | - L Chang
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D B Clark
- University of Pittsburgh, Pittsburgh, PA, USA
| | - C Cloak
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - K Constable
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R Corley
- University of Colorado, Boulder, CO, USA
| | | | - S Coxe
- Florida International University, Miami, FL, USA
| | - R K Dagher
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - A M Dale
- University of California, San Diego, La Jolla, CA, USA
| | - M Dapretto
- University of California, Los Angeles, CA, USA
| | | | - A S Dick
- Florida International University, Miami, FL, USA
| | - E K Do
- Virginia Commonwealth University, Richmond, VA, USA
| | - N U F Dosenbach
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - G J Dowling
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - S Edwards
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - T M Ernst
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Fair
- Oregon Health & Science University, Portland, OR, USA
| | - C C Fan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - E Feczko
- Oregon Health & Science University, Portland, OR, USA
| | | | | | - J J Foxe
- University of Rochester, Rochester, NY, USA
| | | | | | | | | | - A Galvan
- University of California, Los Angeles, CA, USA
| | - D G Gee
- Yale University, New Haven, CT, USA
| | - J Giedd
- University of California, San Diego, La Jolla, CA, USA
| | - M Glantz
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Glaser
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Godino
- University of California, San Diego, La Jolla, CA, USA
| | - M Gonzalez
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - R Gonzalez
- Florida International University, Miami, FL, USA
| | - S Grant
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K M Gray
- Medical University of South Carolina, Charleston, SC, USA
| | - F Haist
- University of California, San Diego, La Jolla, CA, USA
| | - M P Harms
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - S Hawes
- Florida International University, Miami, FL, USA
| | - A C Heath
- University of California, San Diego, La Jolla, CA, USA
| | - S Heeringa
- University of Michigan, Ann Arbor, MI, USA
| | | | - R Hermosillo
- Oregon Health & Science University, Portland, OR, USA
| | - M M Herting
- University of Southern California, Los Angeles, CA, USA
| | - J M Hettema
- Virginia Commonwealth University, Richmond, VA, USA
| | - J K Hewitt
- University of Colorado, Boulder, CO, USA
| | - C Heyser
- University of California, San Diego, La Jolla, CA, USA
| | - E Hoffman
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K Howlett
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R S Huber
- University of Utah, Salt Lake City, UT, USA
| | - M A Huestis
- Thomas Jefferson University, Philadelphia, PA, USA
| | - L W Hyde
- University of Michigan, Ann Arbor, MI, USA
| | - W G Iacono
- University of Minnesota, Minneapolis, MN, USA
| | - M A Infante
- University of California, San Diego, La Jolla, CA, USA
| | - O Irfanoglu
- National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA
| | - A Isaiah
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - S Iyengar
- National Endowment for the Arts, Washington DC, USA
| | - J Jacobus
- University of California, San Diego, La Jolla, CA, USA
| | - R James
- Virginia Commonwealth University, Richmond, VA, USA
| | - B Jean-Francois
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - T Jernigan
- University of California, San Diego, La Jolla, CA, USA
| | - N R Karcher
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - A Kaufman
- National Cancer Institute, Bethesda, MD, USA
| | - B Kelley
- National Institute of Justice, Washington DC, USA
| | - B Kit
- National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - A Ksinan
- Virginia Commonwealth University, Richmond, VA, USA
| | - J Kuperman
- University of California, San Diego, La Jolla, CA, USA
| | - A R Laird
- Florida International University, Miami, FL, USA
| | - C Larson
- University of Wisconsin, Milwaukee, WI, USA
| | - K LeBlanc
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - C Lessov-Schlagger
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - N Lever
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Lewis
- University of Pittsburgh, Pittsburgh, PA, USA
| | - K Lisdahl
- University of Wisconsin, Milwaukee, WI, USA
| | - A R Little
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Lopez
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Luciana
- University of Minnesota, Minneapolis, MN, USA
| | - B Luna
- University of Pittsburgh, Pittsburgh, PA, USA
| | - P A Madden
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H H Maes
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Makowski
- University of California, San Diego, La Jolla, CA, USA
| | - A T Marshall
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - M J Mason
- University of Tennessee, Knoxville, TN, USA
| | - J Matochik
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | | | - E McGlade
- University of Utah, Salt Lake City, UT, USA
| | - I Montoya
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - G Morgan
- National Cancer Institute, Bethesda, MD, USA
| | - A Morris
- Oklahoma State University, Stillwater, OK, USA
| | - C Mulford
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Murray
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - B J Nagel
- Oregon Health & Science University, Portland, OR, USA
| | - M C Neale
- Virginia Commonwealth University, Richmond, VA, USA
| | - G Neigh
- Virginia Commonwealth University, Richmond, VA, USA
| | - A Nencka
- Medical College of Wisconsin, Milwaukee, WI, USA
| | - A Noronha
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S J Nixon
- University of Florida, Gainesville, FL, USA
| | - C E Palmer
- University of California, San Diego, La Jolla, CA, USA
| | - V Pariyadath
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - W E Pelham
- Florida International University, Miami, FL, USA
| | | | - C Pierpaoli
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - A Prescot
- University of Utah, Salt Lake City, UT, USA
| | - D Prouty
- SRI International, Menlo Park, CA, USA
| | | | - N Rajapaske
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | | | - G Reeves
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - M C Riedel
- Florida International University, Miami, FL, USA
| | - P Rojas
- Florida International University, Miami, FL, USA
| | - M de la Rosa
- Florida International University, Miami, FL, USA
| | | | - M J Ross
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - M Sanchez
- Florida International University, Miami, FL, USA
| | - C Schirda
- University of Pittsburgh, Pittsburgh, PA, USA
| | - D Schloesser
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | | | - K J Sher
- University of Missouri, Columbia, MO, USA
| | - C Sheth
- University of Utah, Salt Lake City, UT, USA
| | - P D Shilling
- University of California, San Diego, La Jolla, CA, USA
| | - W K Simmons
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - E R Sowell
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - N Speer
- University of Colorado, Boulder, CO, USA
| | - M Spittel
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - L M Squeglia
- Medical University of South Carolina, Charleston, SC, USA
| | - C Sripada
- University of Michigan, Ann Arbor, MI, USA
| | - J Steinberg
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Striley
- University of Florida, Gainesville, FL, USA
| | | | - J Tanabe
- University of Colorado, Boulder, CO, USA
| | - S F Tapert
- University of California, San Diego, La Jolla, CA, USA
| | - W Thompson
- University of California, San Diego, La Jolla, CA, USA
| | - R L Tomko
- Medical University of South Carolina, Charleston, SC, USA
| | - K A Uban
- University of California, Irvine, CA, USA
| | - S Vrieze
- University of Minnesota, Minneapolis, MN, USA
| | - N E Wade
- University of California, San Diego, La Jolla, CA, USA
| | - R Watts
- Yale University, New Haven, CT, USA
| | - S Weiss
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - B A Wiens
- University of Florida, Gainesville, FL, USA
| | - O D Williams
- Florida International University, Miami, FL, USA
| | - A Wilbur
- SRI International, Menlo Park, CA, USA
| | - D Wing
- University of California, San Diego, La Jolla, CA, USA
| | - D Wolff-Hughes
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - R Yang
- University of California, San Diego, La Jolla, CA, USA
| | | | - R A Zucker
- University of Michigan, Ann Arbor, MI, USA
| | - A Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H P Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
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Wade NE, Palmer CE, Gonzalez MR, Wallace AL, Infante MA, Tapert SF, Jacobus J, Bagot KS. Risk factors associated with curiosity about alcohol use in the ABCD cohort. Alcohol 2021; 92:11-19. [PMID: 33434614 PMCID: PMC8026718 DOI: 10.1016/j.alcohol.2021.01.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 10/09/2020] [Accepted: 01/01/2021] [Indexed: 01/26/2023]
Abstract
Curiosity and intent to use alcohol in pre-adolescence is a risk factor for later experimentation and use, yet we know little of how curiosity about use develops. Here, we examine factors that may influence curiosity about alcohol use, as it may be an important predictor of later drinking behavior. Cross-sectional data on youth ages 10-11 from the ongoing Adolescent Brain Cognitive Development℠ (ABCD) Study Year 1 follow-up were used (n = 2,334; NDA 2.0.1). All participants were substance-naïve at time of assessment. Group factor analysis identified latent factors across common indicators of risk for early substance use (i.e., psychopathology and trait characteristics; substance use attitudes/behaviors; neurocognition; family and environment). Logistic mixed-effect models tested associations between latent factors of risk for early substance use and curiosity about alcohol use, controlling for demographics and study site. Two multidimensional factors were significantly inversely and positively associated with greater curiosity about alcohol use, respectively: 1) low internalizing and externalizing symptomatology coupled with low impulsivity, perceived neighborhood safety, negative parental history of alcohol use problems, and fewer adverse life experiences and family conflict; and 2) low perceived risk of alcohol use coupled with lack of peer disapproval of use. When assessing all risk factors in an overall regression, lack of perceived harm from trying alcohol once or twice was associated with greater likelihood of alcohol curiosity. Taken together, perceptions that alcohol use causes little harm and having peers with similar beliefs is related to curiosity about alcohol use among substance-naïve 10-11-year-olds. General mental health and environmental risk factors similarly increase the odds of curiosity for alcohol. Identification of multidimensional risk factors for early alcohol use may point to novel prevention and early intervention targets. Future longitudinal investigations in the ABCD cohort will determine the extent to which these factors and curiosity predict alcohol use among youth.
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Herting MM, Uban KA, Gonzalez MR, Baker FC, Kan EC, Thompson WK, Granger DA, Albaugh MD, Anokhin AP, Bagot KS, Banich MT, Barch DM, Baskin-Sommers A, Breslin FJ, Casey BJ, Chaarani B, Chang L, Clark DB, Cloak CC, Constable RT, Cottler LB, Dagher RK, Dapretto M, Dick AS, Dosenbach N, Dowling GJ, Dumas JA, Edwards S, Ernst T, Fair DA, Feldstein-Ewing SW, Freedman EG, Fuemmeler BF, Garavan H, Gee DG, Giedd JN, Glaser PEA, Goldstone A, Gray KM, Hawes SW, Heath AC, Heitzeg MM, Hewitt JK, Heyser CJ, Hoffman EA, Huber RS, Huestis MA, Hyde LW, Infante MA, Ivanova MY, Jacobus J, Jernigan TL, Karcher NR, Laird AR, LeBlanc KH, Lisdahl K, Luciana M, Luna B, Maes HH, Marshall AT, Mason MJ, McGlade EC, Morris AS, Nagel BJ, Neigh GN, Palmer CE, Paulus MP, Potter AS, Puttler LI, Rajapakse N, Rapuano K, Reeves G, Renshaw PF, Schirda C, Sher KJ, Sheth C, Shilling PD, Squeglia LM, Sutherland MT, Tapert SF, Tomko RL, Yurgelun-Todd D, Wade NE, Weiss SRB, Zucker RA, Sowell ER. Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study. Front Endocrinol (Lausanne) 2021; 11:549928. [PMID: 33679599 PMCID: PMC7930488 DOI: 10.3389/fendo.2020.549928] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 11/23/2020] [Indexed: 02/02/2023] Open
Abstract
Aim To examine individual variability between perceived physical features and hormones of pubertal maturation in 9-10-year-old children as a function of sociodemographic characteristics. Methods Cross-sectional metrics of puberty were utilized from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study-a multi-site sample of 9-10 year-olds (n = 11,875)-and included perceived physical features via the pubertal development scale (PDS) and child salivary hormone levels (dehydroepiandrosterone and testosterone in all, and estradiol in females). Multi-level models examined the relationships among sociodemographic measures, physical features, and hormone levels. A group factor analysis (GFA) was implemented to extract latent variables of pubertal maturation that integrated both measures of perceived physical features and hormone levels. Results PDS summary scores indicated more males (70%) than females (31%) were prepubertal. Perceived physical features and hormone levels were significantly associated with child's weight status and income, such that more mature scores were observed among children that were overweight/obese or from households with low-income. Results from the GFA identified two latent factors that described individual differences in pubertal maturation among both females and males, with factor 1 driven by higher hormone levels, and factor 2 driven by perceived physical maturation. The correspondence between latent factor 1 scores (hormones) and latent factor 2 scores (perceived physical maturation) revealed synchronous and asynchronous relationships between hormones and concomitant physical features in this large young adolescent sample. Conclusions Sociodemographic measures were associated with both objective hormone and self-report physical measures of pubertal maturation in a large, diverse sample of 9-10 year-olds. The latent variables of pubertal maturation described a complex interplay between perceived physical changes and hormone levels that hallmark sexual maturation, which future studies can examine in relation to trajectories of brain maturation, risk/resilience to substance use, and other mental health outcomes.
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Affiliation(s)
- Megan M. Herting
- Preventive Medicine, University of Southern California, Los Angeles, CA, United States
- Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Kristina A. Uban
- Public Health, University of California, Irvine, Irvine, CA, United States
- Institute for Interdisciplinary Salivary Bioscience Research, University of California, Irvine, Irvine, CA, United States
| | - Marybel Robledo Gonzalez
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Research on Children, Youth, and Families, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, United States
| | - Eric C. Kan
- Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
- Research on Children, Youth, and Families, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Wesley K. Thompson
- Division of Biostatistics, University of California, San Diego, La Jolla, CA, United States
| | - Douglas A. Granger
- Institute for Interdisciplinary Salivary Bioscience Research, University of California, Irvine, Irvine, CA, United States
- Social Ecology, University of California, Irvine, Irvine, CA, United States
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, CA, United States
| | - Matthew D. Albaugh
- Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University, St. Louis, MO, United States
| | - Kara S. Bagot
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Marie T. Banich
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Deanna M. Barch
- Department of Psychological and Brain Sciences, Washington University, St. Louis, MO, United States
| | | | | | - B. J. Casey
- Department of Psychology, University of Yale, New Haven, CT, United States
| | - Bader Chaarani
- Department of Psychiatry, University of Vermont, Burlington, VT, United States
| | - Linda Chang
- Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States
| | - Duncan B. Clark
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Christine C. Cloak
- Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States
| | - R. Todd Constable
- Radiology and Biomedical Imaging, University of Yale, New Haven, CT, United States
| | - Linda B. Cottler
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
| | - Rada K. Dagher
- Division of Scientific Programs, National Institute on Minority Health and Health Disparities, Bethesda, MD, United States
| | - Mirella Dapretto
- Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Anthony S. Dick
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Nico Dosenbach
- Department of Neurology, Washington University, St. Louis, MO, United States
| | - Gayathri J. Dowling
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MD, United States
| | - Julie A. Dumas
- Department of Psychiatry, University of Vermont, Burlington, VT, United States
| | - Sarah Edwards
- Department of Psychiatry, University of Maryland, Baltimore, MD, United States
| | - Thomas Ernst
- Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States
| | - Damien A. Fair
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
| | | | - Edward G. Freedman
- Department of Neuroscience, University of Rochester, Rochester, NY, United States
| | - Bernard F. Fuemmeler
- Health Behavior and Policy, Virginia Commonwealth University, Richmon, VA, United States
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, United States
| | - Dylan G. Gee
- Department of Psychology, University of Yale, New Haven, CT, United States
| | - Jay N. Giedd
- Department of Psychiatry, University of San Diego, La Jolla, CA, United States
| | - Paul E. A. Glaser
- Department of Psychiatry, Washington University, St. Louis, MO, United States
| | - Aimee Goldstone
- Center for Health Sciences, SRI International, Menlo Park, CA, United States
| | - Kevin M. Gray
- Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Samuel W. Hawes
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Andrew C. Heath
- Department of Psychiatry, Washington University, St. Louis, MO, United States
| | - Mary M. Heitzeg
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - John K. Hewitt
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Charles J. Heyser
- Center for Human Development, University of California, San Diego, La Jolla, CA, United States
| | - Elizabeth A. Hoffman
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MD, United States
| | - Rebekah S. Huber
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States
| | - Marilyn A. Huestis
- Medical Cannabis & Science Program, Thomas Jefferson University, Philadelphia, PA, United States
| | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States
| | - M. Alejandra Infante
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Masha Y. Ivanova
- Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Joanna Jacobus
- Department of Psychiatry, University of San Diego, La Jolla, CA, United States
| | - Terry L. Jernigan
- Department of Cognitive Science, University of San Diego, La Jolla, CA, United States
| | - Nicole R. Karcher
- Department of Psychiatry, Washington University, St. Louis, MO, United States
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, United States
| | - Kimberly H. LeBlanc
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MD, United States
| | - Krista Lisdahl
- Department of Psychology, University of Wisconsin, Milwaukee, WI, United States
| | - Monica Luciana
- Department of Psychology, University of Minnesota, Minneapolis, MN, United States
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Hermine H. Maes
- Human & Molecular Genetics, Virginia Commonwealth University, Richmond, VT, United States
| | - Andrew T. Marshall
- Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
- Department of Pediatrics, University of Southern California, Los Angeles, CA, United States
| | - Michael J. Mason
- Center for Behavioral Health Research, University of Tennessee, Knoxville, TN, United States
| | - Erin C. McGlade
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States
| | - Amanda S. Morris
- Laureate Institute for Brain Research, Tulsa, OK, United States
- Human Development and Family Science, Oklahoma State University, Tulsa, OK, United States
| | - Bonnie J. Nagel
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, United States
| | - Gretchen N. Neigh
- Anatomy & Neurobiology, Virginia Commonwealth University, Richmond, VT, United States
| | - Clare E. Palmer
- Center for Human Development, University of California, San Diego, La Jolla, CA, United States
| | | | - Alexandra S. Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, United States
| | - Leon I. Puttler
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Nishadi Rajapakse
- Division of Scientific Programs, National Institute on Minority Health and Health Disparities, Bethesda, MD, United States
| | - Kristina Rapuano
- Department of Psychology, University of Yale, New Haven, CT, United States
| | - Gloria Reeves
- Department of Psychiatry, University of Maryland, Baltimore, MD, United States
| | - Perry F. Renshaw
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Claudiu Schirda
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Kenneth J. Sher
- Department of Psychology, University of Missouri, Columbia, MO, United States
| | - Chandni Sheth
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Paul D. Shilling
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Lindsay M. Squeglia
- Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL, United States
| | - Susan F. Tapert
- Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Rachel L. Tomko
- Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Deborah Yurgelun-Todd
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Natasha E. Wade
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Susan R. B. Weiss
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MD, United States
| | - Robert A. Zucker
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - Elizabeth R. Sowell
- Research on Children, Youth, and Families, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
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7
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Moore EM, Glass L, Infante MA, Coles CD, Kable JA, Jones KL, Riley EP, Mattson SN. Cross-Sectional Analysis of Spatial Working Memory Development in Children with Histories of Heavy Prenatal Alcohol Exposure. Alcohol Clin Exp Res 2020; 45:215-223. [PMID: 33190244 DOI: 10.1111/acer.14506] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 09/24/2020] [Accepted: 10/22/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND In children with prenatal alcohol exposure, spatial working memory is affected and brain regions important for spatial working memory performance exhibit atypical neurodevelopment. We therefore hypothesized that children with prenatal alcohol exposure may also have atypical development of spatial working memory ability. METHODS We examined the relation between spatial working memory and age using a cross-sectional developmental trajectory approach in youth with and without histories of heavy prenatal alcohol exposure. The Cambridge Neuropsychological Test Automated Battery Spatial Working Memory subtest was administered to children 5.0 to 16.9 years old. RESULTS While the controls and children with prenatal alcohol exposure showed similar performance at younger ages, larger group differences were observed in older children. This effect was replicated in a separate sample. CONCLUSIONS The atypical brain development that has previously been reported in children with heavy prenatal alcohol exposure may have clinically relevant implications for cognitive development; however, longitudinal cognitive analyses are needed.
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Affiliation(s)
- Eileen M Moore
- From the, Department of Psychology, (EMM, LG, MAI, EPR, SNM), Center for Behavioral Teratology, San Diego State University, San Diego, California
| | - Leila Glass
- From the, Department of Psychology, (EMM, LG, MAI, EPR, SNM), Center for Behavioral Teratology, San Diego State University, San Diego, California.,Los Angeles Semel Institute for Neuroscience and Human Behavior, (LG), University of California, Los Angeles, California
| | - M Alejandra Infante
- From the, Department of Psychology, (EMM, LG, MAI, EPR, SNM), Center for Behavioral Teratology, San Diego State University, San Diego, California.,Department of Psychiatry, (MAI), University of California, San Diego, San Diego, La Jolla, California
| | - Claire D Coles
- Department of Psychiatry and Behavioral Sciences, (CDC), Emory University School of Medicine, Atlanta, Georgia.,Department of Pediatrics, (CDC, JAK), Emory University School of Medicine, Atlanta, Georgia
| | - Julie A Kable
- Department of Pediatrics, (CDC, JAK), Emory University School of Medicine, Atlanta, Georgia
| | - Kenneth L Jones
- Department of Pediatrics, (KLJ), School of Medicine, University of California, San Diego, La Jolla, California
| | - Edward P Riley
- From the, Department of Psychology, (EMM, LG, MAI, EPR, SNM), Center for Behavioral Teratology, San Diego State University, San Diego, California
| | - Sarah N Mattson
- From the, Department of Psychology, (EMM, LG, MAI, EPR, SNM), Center for Behavioral Teratology, San Diego State University, San Diego, California
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8
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Lees B, Aguinaldo L, Squeglia LM, Infante MA, Wade NE, Mejia MH, Jacobus J. Parental Family History of Alcohol Use Disorder and Neural Correlates of Response Inhibition in Children From the Adolescent Brain Cognitive Development (ABCD) Study. Alcohol Clin Exp Res 2020; 44:1234-1244. [PMID: 32333792 PMCID: PMC7323844 DOI: 10.1111/acer.14343] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 03/12/2020] [Accepted: 04/14/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Youth whose parents have alcohol use disorder (AUD) are at higher risk for earlier initiation and greater magnitude of alcohol use, and have a higher likelihood of developing an AUD than their peers without parental history of AUD. This increased risk may be partly attributable to altered development of inhibitory control and related neural circuitry. This study examined neural activation during a motor response inhibition Stop Signal Task (SST) in substance-naïve youth aged 9 to 10 years with and without parental family history of AUD. METHODS Baseline cross-sectional survey and functional magnetic resonance imaging (fMRI) data were drawn from 6,898 youth in the US-based Adolescent Brain Cognitive Development Study. Generalized additive mixed models were conducted to examine the association between maternal, paternal, and parental (both mother and father) family history of AUD with neural activation during successful and failed response inhibition. Family history interactions with sex and stratification by ethnicity were explored. RESULTS Of 6,898 participants, 951 (14%) were family history positive for any parental AUD. Paternal history of AUD was associated with greater activation for successful inhibition in the right medial orbital frontal gyrus, compared to youth with no family history. Maternal history of AUD was associated with greater activation for failed response inhibition among females in the cerebellum, compared to females with no such history. Parental history (both mother and father) of AUD was associated with greater activation during successful inhibition in the left paracentral gyri and left superior parietal lobule. Maternal history and parental history of AUD findings were accounted for by a family history of substance use disorder in general. All effect sizes were relatively small. CONCLUSIONS Substance-naïve children with a parental family history of AUD exhibit greater neural activation in some regions of the fronto-basal ganglia and cerebellar networks when they successfully or unsuccessfully inhibit a response as compared to children with no such family history. This unique neural response pattern could reflect a compensatory response and may represent an inherent neurobiological vulnerability to risk-related behaviors in these youth which will be examined in future longitudinal analyses of this cohort.
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Affiliation(s)
- Briana Lees
- University of Sydney, The Matilda Centre for Research in Mental Health and Substance Use
| | - Laika Aguinaldo
- University of California, San Diego, Department of Psychiatry
| | - Lindsay M. Squeglia
- Medical University of South Carolina, Department of Psychiatry and Behavioral Sciences
| | | | - Natasha E. Wade
- University of California, San Diego, Department of Psychiatry
| | - Margie Hernandez Mejia
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology
| | - Joanna Jacobus
- University of California, San Diego, Department of Psychiatry
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9
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Hagler DJ, Hatton SN, Cornejo MD, Makowski C, Fair DA, Dick AS, Sutherland MT, Casey BJ, Barch DM, Harms MP, Watts R, Bjork JM, Garavan HP, Hilmer L, Pung CJ, Sicat CS, Kuperman J, Bartsch H, Xue F, Heitzeg MM, Laird AR, Trinh TT, Gonzalez R, Tapert SF, Riedel MC, Squeglia LM, Hyde LW, Rosenberg MD, Earl EA, Howlett KD, Baker FC, Soules M, Diaz J, de Leon OR, Thompson WK, Neale MC, Herting M, Sowell ER, Alvarez RP, Hawes SW, Sanchez M, Bodurka J, Breslin FJ, Morris AS, Paulus MP, Simmons WK, Polimeni JR, van der Kouwe A, Nencka AS, Gray KM, Pierpaoli C, Matochik JA, Noronha A, Aklin WM, Conway K, Glantz M, Hoffman E, Little R, Lopez M, Pariyadath V, Weiss SRB, Wolff-Hughes DL, DelCarmen-Wiggins R, Ewing SWF, Miranda-Dominguez O, Nagel BJ, Perrone AJ, Sturgeon DT, Goldstone A, Pfefferbaum A, Pohl KM, Prouty D, Uban K, Bookheimer SY, Dapretto M, Galvan A, Bagot K, Giedd J, Infante MA, Jacobus J, Patrick K, Shilling PD, Desikan R, Li Y, Sugrue L, Banich MT, Friedman N, Hewitt JK, Hopfer C, Sakai J, Tanabe J, Cottler LB, Nixon SJ, Chang L, Cloak C, Ernst T, Reeves G, Kennedy DN, Heeringa S, Peltier S, Schulenberg J, Sripada C, Zucker RA, Iacono WG, Luciana M, Calabro FJ, Clark DB, Lewis DA, Luna B, Schirda C, Brima T, Foxe JJ, Freedman EG, Mruzek DW, Mason MJ, Huber R, McGlade E, Prescot A, Renshaw PF, Yurgelun-Todd DA, Allgaier NA, Dumas JA, Ivanova M, Potter A, Florsheim P, Larson C, Lisdahl K, Charness ME, Fuemmeler B, Hettema JM, Maes HH, Steinberg J, Anokhin AP, Glaser P, Heath AC, Madden PA, Baskin-Sommers A, Constable RT, Grant SJ, Dowling GJ, Brown SA, Jernigan TL, Dale AM. Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. Neuroimage 2019; 202:116091. [PMID: 31415884 PMCID: PMC6981278 DOI: 10.1016/j.neuroimage.2019.116091] [Citation(s) in RCA: 414] [Impact Index Per Article: 82.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 08/01/2019] [Accepted: 08/08/2019] [Indexed: 01/29/2023] Open
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing, nationwide study of the effects of environmental influences on behavioral and brain development in adolescents. The main objective of the study is to recruit and assess over eleven thousand 9-10-year-olds and follow them over the course of 10 years to characterize normative brain and cognitive development, the many factors that influence brain development, and the effects of those factors on mental health and other outcomes. The study employs state-of-the-art multimodal brain imaging, cognitive and clinical assessments, bioassays, and careful assessment of substance use, environment, psychopathological symptoms, and social functioning. The data is a resource of unprecedented scale and depth for studying typical and atypical development. The aim of this manuscript is to describe the baseline neuroimaging processing and subject-level analysis methods used by ABCD. Processing and analyses include modality-specific corrections for distortions and motion, brain segmentation and cortical surface reconstruction derived from structural magnetic resonance imaging (sMRI), analysis of brain microstructure using diffusion MRI (dMRI), task-related analysis of functional MRI (fMRI), and functional connectivity analysis of resting-state fMRI. This manuscript serves as a methodological reference for users of publicly shared neuroimaging data from the ABCD Study.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Feng Xue
- University of California, San Diego
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Megan Herting
- University of Southern California & Children’s Hospital Los Angeles
| | | | - Ruben P Alvarez
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yi Li
- University of California, San Francisco
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Michael E Charness
- VA Boston Healthcare System; Harvard Medical School; Boston University School of Medicine
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10
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Abstract
OBJECTIVE Changes in gray matter volume and thickness are associated with adolescent alcohol and cannabis use, but the impact of these substances on surface area remains unclear. The present study expands on previous findings to examine the impact of alcohol and cannabis on surface area before and after use initiation. METHOD Scans for 69 demographically similar youth were obtained at baseline (ages 12-14 years; before substance use) and at 6-year follow-up (ages 17-21 years). Participants were classified into three groups based on substance use: alcohol use initiators (ALC, n = 23), alcohol and cannabis use initiators (ALC+CU, n = 23), and individuals with minimal substance use (<3 lifetime alcohol and 0 marijuana use episodes; CON, n = 23). For each hemisphere, group differences in surface area across time (pre- and post-substance use initiation) and significant group-by-time interactions were examined individually for 34 cortical regions using repeated measures analysis of covariance. A vertex-wise analysis assessed group differences in surface area percent change. RESULTS A significant group-by-time interaction was found in three regions, bilateral medial orbitofrontal cortices and right insula. Although all regions showed decreases in surface area over time (ps < .05), a more substantial decrease was identified in the ALC group. Of note, the right medial orbitofrontal cortex survived the conservative vertex-wise analyses (p < .001), as a more substantial decrease was found in the ALC compared to the ALC+CU group in this region. CONCLUSIONS Surface area in the medial orbitofrontal cortex may be a useful intermediate phenotype for exploring the mechanisms underlying the effects of substance use on brain development.
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Affiliation(s)
- M Alejandra Infante
- Department of Psychiatry, University of California San Diego, La Jolla, California
| | - Kelly E Courtney
- Department of Psychiatry, University of California San Diego, La Jolla, California
| | - Norma Castro
- Department of Psychiatry, University of California San Diego, La Jolla, California
| | - Lindsay M Squeglia
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Joanna Jacobus
- Department of Psychiatry, University of California San Diego, La Jolla, California
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Nguyen-Louie TT, Simmons AN, Squeglia LM, Alejandra Infante M, Schacht JP, Tapert SF. Earlier alcohol use onset prospectively predicts changes in functional connectivity. Psychopharmacology (Berl) 2018; 235:1041-1054. [PMID: 29306963 PMCID: PMC5871543 DOI: 10.1007/s00213-017-4821-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Accepted: 12/21/2017] [Indexed: 11/28/2022]
Abstract
BACKGROUND Half of all new alcohol initiates are between 12 and 17 years old. This is a period of intense neurodevelopment, including changes in functional connectivity patterns among higher-order function areas. It is crucial to understand how alcohol-related neurotoxicity may be influenced by drinking onset age. DESIGN This study prospectively examined the effects of age of first drink on frontoparietal context-dependent functional connectivity (cdFC) during a visual working memory task. Youth 13.5 years of age (SD = 1.2) underwent a neuropsychological and neuroimaging session before drinking initiation and at follow-up 6 years later. Hierarchical linear regressions examined if youth with earlier ages of onset for first and weekly alcohol use showed higher follow-up cdFC between the dorsolateral prefrontal cortex and posterior parietal cortex regions of interest and whole-brain exploratory regions, controlling for pre-drinking cdFC. Higher follow-up cdFC was hypothesized to be correlated with poorer performances in neuropsychological performance. RESULTS Exploratory whole-brain analyses showed that, as hypothesized, earlier ages of weekly drinking onset were associated with higher cdFC between the bilateral posterior cingulate and cortical and subcortical areas implicated in attentional processes, which was in turn associated with poorer performance on neuropsychological tasks of attention, ps < .05. No relationship between age of onset and cdFC between the two ROIs were found. CONCLUSION Earlier ages of weekly alcohol use initiation may adversely affect neurodevelopment by reducing developmentally appropriate integration of attentional circuits during a cognitive challenge. Delaying the onset of weekly alcohol use patterns well after early adolescence may reduce the risk for harm of alcohol use on the brain.
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Affiliation(s)
- Tam T Nguyen-Louie
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Alan N Simmons
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive (0603), La Jolla, San Diego, CA, 92093, USA
| | - Lindsay M Squeglia
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - M Alejandra Infante
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive (0603), La Jolla, San Diego, CA, 92093, USA
| | - Joseph P Schacht
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Susan F Tapert
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive (0603), La Jolla, San Diego, CA, 92093, USA.
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12
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Infante MA, Moore EM, Bischoff-Grethe A, Tapert SF, Mattson SN, Riley EP. Altered functional connectivity during spatial working memory in children with heavy prenatal alcohol exposure. Alcohol 2017; 64:11-21. [PMID: 28965651 DOI: 10.1016/j.alcohol.2017.05.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Revised: 05/02/2017] [Accepted: 05/02/2017] [Indexed: 10/19/2022]
Abstract
Individuals prenatally exposed to alcohol often have impaired spatial working memory (SWM). This study examines functional connections of frontal and parietal regions that support SWM in children with and without prenatal alcohol exposure. Children ages 10 to 16 with histories of heavy prenatal alcohol exposure (AE group; n = 18) and controls (CON group; n = 19) underwent functional magnetic resonance imaging (fMRI) while performing a SWM task. Whole brain task-related functional connectivity of bilateral dorsolateral prefrontal cortex (DLPFC) and posterior parietal cortex (PPC) seed regions were estimated for each participant using a psychophysiological interaction approach. Children in the AE group were less accurate than children in the CON group when performing the SWM task (p = 0.008). Positive coupling between bilateral DLPFC seeds and regions within the fronto-parietal network was observed in the CON group, whereas the AE group showed negative connectivity. In contrast to the CON group, the AE group showed positive connectivity between PPC seeds and frontal lobe regions. Across seeds, decreased negative coupling with regions outside the fronto-parietal network (e.g., left middle occipital gyrus) were observed in the AE group relative to the CON group. Functional data clusters were considered significant at p < 0.05. Overall findings suggest that localized alterations in neural activity, aberrant fronto-parietal network synchrony, and poor coordination of neural responses with regions outside of this network may help explain SWM deficits in individuals with a history of heavy prenatal alcohol exposure.
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Moore EM, Infante MA, Migliorini R, Mattson SN, Riley EP. Pituitary lacks sexual dimorphism and displays reduced signal intensity on T1-weighted MRI in adolescents with histories of heavy prenatal alcohol exposure. Neurotoxicol Teratol 2016; 57:106-111. [PMID: 27616668 DOI: 10.1016/j.ntt.2016.09.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 08/22/2016] [Accepted: 09/07/2016] [Indexed: 12/01/2022]
Abstract
Prenatal alcohol exposure can interfere with endocrine function and have sex-specific effects on behavior. Disrupted development of the pituitary gland, which has been observed in rodent studies, may account for some of these effects. To determine if gestational exposure to alcohol produces measureable changes in the pituitary in human adolescents, we manually traced the pituitary in T1-weighted structural magnetic resonance images (MRI) from adolescents with (15 males, 11 females) and without (16 males, 11 females) heavy prenatal alcohol exposure. Pituitary gland volume and maximum signal intensity were examined for group differences. Control female adolescents presented with significantly greater pituitary volume compared to males, as has been previously reported. However, this sexual dimorphism was absent in adolescents with histories of prenatal alcohol exposure. Alcohol-exposed adolescents, regardless of sex, demonstrated reduced pituitary maximum signal intensity compared to controls. The lack of a sex difference in pituitary volumes within the alcohol-exposed group suggests such exposure may interfere with adolescent typical sexual dimorphism of the pituitary. Signal intensity in the posterior pituitary may reflect vasopressin storage. Our findings suggest vasopressin activity should be evaluated in alcohol-exposed adolescents.
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Affiliation(s)
- Eileen M Moore
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, United States; Department of Psychology, San Diego State University, San Diego, CA 92182, United States.
| | - M Alejandra Infante
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, United States; SDSU/UCSD Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120, United States
| | - Robyn Migliorini
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, United States; SDSU/UCSD Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120, United States
| | - Sarah N Mattson
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, United States; Department of Psychology, San Diego State University, San Diego, CA 92182, United States
| | - Edward P Riley
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, United States; Department of Psychology, San Diego State University, San Diego, CA 92182, United States
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14
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Infante MA, Moore EM, Bischoff-Grethe A, Migliorini R, Mattson SN, Riley EP. Atypical cortical gyrification in adolescents with histories of heavy prenatal alcohol exposure. Brain Res 2015; 1624:446-454. [PMID: 26275919 DOI: 10.1016/j.brainres.2015.08.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Revised: 08/01/2015] [Accepted: 08/03/2015] [Indexed: 02/02/2023]
Abstract
Prenatal alcohol exposure can adversely affect brain development, although little is known about the effects of prenatal alcohol exposure on gyrification. Gyrification reflects cortical folding complexity and is a process by which the surface of the brain creates sulci and gyri. Prior studies have shown that prenatal alcohol exposure is associated with reduced gyrification in childhood, but no studies have examined adolescents. Subjects (12-16 years) comprised two age-equivalent groups: 30 adolescents with histories of heavy prenatal alcohol exposure (AE) and 19 non-exposed controls (CON). A T1-weighted image was obtained for all participants. Local gyrification index (LGI) was estimated using FreeSurfer. General linear models were used to determine between group differences in LGI controlling for age and sex. Age-by-group interactions were also investigated while controlling for sex. The AE group displayed reduced LGI relative to CON in the bilateral superior parietal region, right postcentral region, and left precentral and lateral occipital regions (ps<.001). Significant age-by-group interactions were observed in the right precentral and lateral occipital regions, and in the left pars opercularis and inferior parietal regions (ps<.01). The AE group showed age-related reductions in gyrification in all regions whereas the CON group showed increased gyrification with age in the lateral occipital region only. While cross-sectional, the age-related reduction in gyrification observed in the AE group suggests alterations in cortical development throughout adolescence and provides further insight into the pathophysiology and brain maturation of adolescents prenatally exposed to alcohol.
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Affiliation(s)
- M Alejandra Infante
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA; San Diego State University / University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120-4913, USA.
| | - Eileen M Moore
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA
| | | | - Robyn Migliorini
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA; San Diego State University / University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120-4913, USA
| | - Sarah N Mattson
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA; San Diego State University / University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120-4913, USA
| | - Edward P Riley
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA; San Diego State University / University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120-4913, USA
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15
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Migliorini R, Moore EM, Glass L, Infante MA, Tapert SF, Jones KL, Mattson SN, Riley EP. Anterior cingulate cortex surface area relates to behavioral inhibition in adolescents with and without heavy prenatal alcohol exposure. Behav Brain Res 2015; 292:26-35. [PMID: 26025509 DOI: 10.1016/j.bbr.2015.05.037] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Revised: 04/28/2015] [Accepted: 05/22/2015] [Indexed: 12/11/2022]
Abstract
Prenatal alcohol exposure is associated with behavioral disinhibition, yet the brain structure correlates of this deficit have not been determined with sufficient detail. We examined the hypothesis that the structure of the anterior cingulate cortex (ACC) relates to inhibition performance in youth with histories of heavy prenatal alcohol exposure (AE, n = 32) and non-exposed controls (CON, n = 21). Adolescents (12-17 years) underwent structural magnetic resonance imaging yielding measures of gray matter volume, surface area, and thickness across four ACC subregions. A subset of subjects were administered the NEPSY-II Inhibition subtest. MANCOVA was utilized to test for group differences in ACC and inhibition performance and multiple linear regression was used to probe ACC-inhibition relationships. ACC surface area was significantly smaller in AE, though this effect was primarily driven by reduced right caudal ACC (rcACC). AE also performed significantly worse on inhibition speed but not on inhibition accuracy. Regression analyses with the rcACC revealed a significant group × ACC interaction. A smaller rcACC surface area was associated with slower inhibition completion time for AE but was not significantly associated with inhibition in CON. After accounting for processing speed, smaller rcACC surface area was associated with worse (i.e., slower) inhibition regardless of group. Examining processing speed independently, a decrease in rcACC surface area was associated with faster processing speed for CON but not significantly associated with processing speed in AE. Results support the theory that caudal ACC may monitor reaction time in addition to inhibition and highlight the possibility of delayed ACC neurodevelopment in prenatal alcohol exposure.
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Affiliation(s)
- Robyn Migliorini
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, 6330 Alvarado Court, Suite 100, San Diego, CA 92120, USA; San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, 6363 Alvarado Court, Suite 103, San Diego, CA 92120-4913, USA.
| | - Eileen M Moore
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, 6330 Alvarado Court, Suite 100, San Diego, CA 92120, USA
| | - Leila Glass
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, 6330 Alvarado Court, Suite 100, San Diego, CA 92120, USA; San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, 6363 Alvarado Court, Suite 103, San Diego, CA 92120-4913, USA
| | - M Alejandra Infante
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, 6330 Alvarado Court, Suite 100, San Diego, CA 92120, USA; San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, 6363 Alvarado Court, Suite 103, San Diego, CA 92120-4913, USA
| | - Susan F Tapert
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Dr., San Diego, CA 92037, USA; VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA
| | - Kenneth Lyons Jones
- University of California, San Diego, School of Medicine, Department of Pediatrics, 9500 Gilman Drive, San Diego, CA 92093, USA
| | - Sarah N Mattson
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, 6330 Alvarado Court, Suite 100, San Diego, CA 92120, USA
| | - Edward P Riley
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, 6330 Alvarado Court, Suite 100, San Diego, CA 92120, USA
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16
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Jacobus J, Squeglia LM, Infante MA, Castro N, Brumback T, Meruelo AD, Tapert SF. Neuropsychological performance in adolescent marijuana users with co-occurring alcohol use: A three-year longitudinal study. Neuropsychology 2015; 29:829-843. [PMID: 25938918 DOI: 10.1037/neu0000203] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE The effect of adolescent marijuana use on brain development remains unclear despite relaxing legal restrictions, decreased perceived harm, and increasing use rates among youth. The aim of this 3-year prospective study was to evaluate the long-term neurocognitive effects of adolescent marijuana use. METHOD Adolescent marijuana users with concomitant alcohol use (MJ + ALC, n = 49) and control teens with limited substance use histories (CON, n = 59) were given neuropsychological and substance use assessments at project baseline, when they were ages 16-19. They were then reassessed 18 and 36 months later. Changes in neuropsychological measures were evaluated with repeated measures analysis of covariance (ANCOVA), controlling for lifetime alcohol use, and examined the effects of group, time, and group by time interactions on cognitive functioning. RESULTS MJ + ALC users performed significantly worse than controls, across time points, in the domains of complex attention, memory, processing speed, and visuospatial functioning (ps <.05). Earlier age of marijuana use onset was associated with poorer processing speed and executive functioning by the 3-year follow-up (ps ≤.02). CONCLUSIONS Frequent marijuana use throughout adolescence and into young adulthood appeared linked to worsened cognitive performance. Earlier age of onset appears to be associated with poorer neurocognitive outcomes that emerge by young adulthood, providing further support for the notion that the brain may be uniquely sensitive to frequent marijuana exposure during the adolescent phase of neurodevelopment. Continued follow-up of adolescent marijuana users will determine the extent of neural recovery that may occur if use abates.
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Affiliation(s)
| | | | | | - Norma Castro
- Department of Psychiatry, University of California San Diego
| | - Ty Brumback
- Department of Psychiatry, University of California San Diego
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17
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Ware AL, Infante MA, O'Brien JW, Tapert SF, Jones KL, Riley EP, Mattson SN. An fMRI study of behavioral response inhibition in adolescents with and without histories of heavy prenatal alcohol exposure. Behav Brain Res 2014; 278:137-46. [PMID: 25281280 DOI: 10.1016/j.bbr.2014.09.037] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Revised: 09/21/2014] [Accepted: 09/23/2014] [Indexed: 11/18/2022]
Abstract
Heavy prenatal alcohol exposure results in a range of deficits, including both volumetric and functional changes in brain regions involved in response inhibition such as the prefrontal cortex and striatum. The current study examined blood oxygen level-dependent (BOLD) response during a stop signal task in adolescents (ages 13-16 y) with histories of heavy prenatal alcohol exposure (AE, n=21) and controls (CON, n=21). Task performance was measured using percent correct inhibits during three difficulty conditions: easy, medium, and hard. Group differences in BOLD response relative to baseline motor responding were examined across all inhibition trials and for each difficulty condition separately. The contrast between hard and easy trials was analyzed to determine whether increasing task difficulty affected BOLD response. Groups had similar task performance and demographic characteristics, except for full scale IQ scores (AE<CON). The AE group demonstrated greater BOLD response in frontal, sensorimotor, striatal, and cingulate regions relative to controls, especially as task difficulty increased. When contrasting hard vs. easy inhibition trials, the AE group showed greater medial/superior frontal and cuneus BOLD response than controls. Results were unchanged after demographics and FAS diagnosis were statistically controlled. This was the first fMRI study to utilize a stop signal task, isolating fronto-striatal functioning, to assess response inhibition and the effects task difficulty in adolescents with prenatal alcohol exposure. Results suggest that heavy prenatal alcohol exposure disrupts neural function of this circuitry, resulting in immature cognitive processing and motor-association learning and neural compensation during response inhibition.
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Affiliation(s)
- Ashley L Ware
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA
| | - M Alejandra Infante
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA
| | - Jessica W O'Brien
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA
| | - Susan F Tapert
- Department of Psychiatry, University of California, San Diego, San Diego, CA 92037, USA; VA San Diego Healthcare System, San Diego, CA 92161, USA
| | - Kenneth Lyons Jones
- University of California, San Diego, School of Medicine, Department of Pediatrics, San Diego, CA 92093, USA
| | - Edward P Riley
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA
| | - Sarah N Mattson
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, USA.
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18
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Abstract
Characterizing the effects of alcohol and marijuana use on adolescent brain development is important for understanding potential alterations in neurodevelopment. Several cross sectional studies have identified group differences in white matter integrity after initiation of heavy alcohol and marijuana use, however none have explored white matter trajectories in adolescents pre- and post initiation of use, particularly for marijuana users. This study followed 16 adolescents with minimal alcohol and marijuana use at ages 16–18 over three years. At follow-up, teens were 19–22 years old; half of the participants initiated heavy alcohol use and half initiated heavy alcohol and marijuana use. Repeated-measures ANOVA revealed 20 clusters in association and projection fibers tracts (p < 0.01) in which a group by time interaction was found. Most consistently, white matter integrity (i.e., fractional anisotropy) decreased for those who initiated both heavy alcohol and marijuana use over the follow-up interval. No effect of time or change in white matter integrity was seen for those who initiated alcohol use only in the majority of clusters. In most regions, at the baseline time point, teens who would later initiate both alcohol and marijuana use demonstrated white matter integrity greater than or equal to teens that initiated alcohol use only. Findings suggest poorer tissue integrity associated with combined initiation of heavy alcohol and marijuana use in late adolescence. While pre-existing differences may also be related to likelihood of substance use, the present data suggest an effect on tissue integrity for these teens transitioning to combined alcohol and marijuana use in later adolescence.
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Affiliation(s)
- Joanna Jacobus
- VA San Diego Healthcare System Psychology Service (116B), 3350 La Jolla Village Drive, San Diego, CA 92126, USA; E-Mails: (J.J.); (S.B.)
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive (0603), La Jolla, CA 92093, USA; E-Mails: (L.M.S.); (M.A.I.)
| | - Lindsay M. Squeglia
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive (0603), La Jolla, CA 92093, USA; E-Mails: (L.M.S.); (M.A.I.)
| | - M. Alejandra Infante
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive (0603), La Jolla, CA 92093, USA; E-Mails: (L.M.S.); (M.A.I.)
- San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, 6363 Alvarado Court, Suite 103, San Diego, CA 92120, USA
| | - Sunita Bava
- VA San Diego Healthcare System Psychology Service (116B), 3350 La Jolla Village Drive, San Diego, CA 92126, USA; E-Mails: (J.J.); (S.B.)
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive (0603), La Jolla, CA 92093, USA; E-Mails: (L.M.S.); (M.A.I.)
| | - Susan F. Tapert
- VA San Diego Healthcare System Psychology Service (116B), 3350 La Jolla Village Drive, San Diego, CA 92126, USA; E-Mails: (J.J.); (S.B.)
- Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive (0603), La Jolla, CA 92093, USA; E-Mails: (L.M.S.); (M.A.I.)
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +1-858-552-7563; Fax: +1-858-642-6340
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Abstract
Since the identification of Fetal Alcohol Syndrome over 40 years ago, much has been learned about the detrimental effects of prenatal alcohol exposure on the developing brain. This review highlights recent neuroimaging studies, within the context of previous work. Structural magnetic resonance imaging has described morphological differences in the brain and their relationships to cognitive deficits and measures of facial dysmorphology. Diffusion tensor imaging has elaborated on the relationship between white matter microstructure and behavior. Atypical neuromaturation across childhood and adolescence has been observed in longitudinal neuroimaging studies. Functional imaging has revealed differences in neural activation patterns underlying sensory processing, cognition and behavioral deficits. A recent functional connectivity analysis demonstrates reductions in global network efficiency. Despite this progress much remains unknown about the impact of prenatal alcohol exposure on the brain, and continued research efforts are essential.
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Affiliation(s)
- Eileen M Moore
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120
| | - Robyn Migliorini
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120 ; SDSU/UCSD Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120
| | - M Alejandra Infante
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120 ; SDSU/UCSD Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120
| | - Edward P Riley
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120 ; Department of Psychology, San Diego State University, San Diego, CA 92182
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Cardenas VA, Price M, Infante MA, Moore EM, Mattson SN, Riley EP, Fein G. Automated cerebellar segmentation: Validation and application to detect smaller volumes in children prenatally exposed to alcohol. Neuroimage Clin 2014; 4:295-301. [PMID: 25061566 PMCID: PMC4107371 DOI: 10.1016/j.nicl.2014.01.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2013] [Revised: 12/30/2013] [Accepted: 01/03/2014] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To validate an automated cerebellar segmentation method based on active shape and appearance modeling and then segment the cerebellum on images acquired from adolescents with histories of prenatal alcohol exposure (PAE) and non-exposed controls (NC). METHODS Automated segmentations of the total cerebellum, right and left cerebellar hemispheres, and three vermal lobes (anterior, lobules I-V; superior posterior, lobules VI-VII; inferior posterior, lobules VIII-X) were compared to expert manual labelings on 20 subjects, studied twice, that were not used for model training. The method was also used to segment the cerebellum on 11 PAE and 9 NC adolescents. RESULTS The test-retest intraclass correlation coefficients (ICCs) of the automated method were greater than 0.94 for all cerebellar volume and mid-sagittal vermal area measures, comparable or better than the test-retest ICCs for manual measurement (all ICCs > 0.92). The ICCs computed on all four cerebellar measurements (manual and automated measures on the repeat scans) to compare comparability were above 0.97 for non-vermis parcels, and above 0.89 for vermis parcels. When applied to patients, the automated method detected smaller cerebellar volumes and mid-sagittal areas in the PAE group compared to controls (p < 0.05 for all regions except the superior posterior lobe, consistent with prior studies). DISCUSSION These results demonstrate excellent reliability and validity of automated cerebellar volume and mid-sagittal area measurements, compared to manual measurements. These data also illustrate that this new technology for automatically delineating the cerebellum leads to conclusions regarding the effects of prenatal alcohol exposure on the cerebellum consistent with prior studies that used labor intensive manual delineation, even with a very small sample.
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Affiliation(s)
- Valerie A. Cardenas
- Neurobehavioral Research, Inc., Ala Moana Pacific Center, 1585 Kapiolani Blvd., Suite 1030, Honolulu, HI 96814, USA
| | - Mathew Price
- Neurobehavioral Research, Inc., Ala Moana Pacific Center, 1585 Kapiolani Blvd., Suite 1030, Honolulu, HI 96814, USA
| | - M. Alejandra Infante
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, USA
| | - Eileen M. Moore
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, USA
| | - Sarah N. Mattson
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, USA
- Department of Psychology, San Diego State University, San Diego, CA 92182, USA
| | - Edward P. Riley
- Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, USA
- Department of Psychology, San Diego State University, San Diego, CA 92182, USA
| | - George Fein
- Neurobehavioral Research, Inc., Ala Moana Pacific Center, 1585 Kapiolani Blvd., Suite 1030, Honolulu, HI 96814, USA
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21
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Abstract
When fetal alcohol syndrome (FAS) was initially described, diagnosis was based upon physical parameters including facial anomalies and growth retardation, with evidence of developmental delay or mental deficiency. Forty years of research has shown that FAS lies towards the extreme end of what are now termed fetal alcohol spectrum disorders (FASD). The most profound effects of prenatal alcohol exposure are on the developing brain and the cognitive and behavioral effects that ensue. Alcohol exposure affects brain development via numerous pathways at all stages from neurogenesis to myelination. For example, the same processes that give rise to the facial characteristics of FAS also cause abnormal brain development. Behaviors as diverse as executive functioning to motor control are affected. This special issue of Neuropsychology Review addresses these changes in brain and behavior highlighting the relationship between the two. A diagnostic goal is to recognize FAS as a disorder of brain rather than one of physical characteristics.
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Affiliation(s)
- Edward P Riley
- Department of Psychology, Center for Behavioral Teratology, San Diego State University, San Diego, CA 92120, USA.
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Squeglia LM, Spadoni AD, Infante MA, Myers MG, Tapert SF. "Initiating moderate to heavy alcohol use predicts changes in neuropsychological functioning for adolescent girls and boys": Correction to Squeglia et al. (2009). Psychology of Addictive Behaviors 2010. [DOI: 10.1037/a0019323] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Squeglia LM, Spadoni AD, Infante MA, Myers MG, Tapert SF. Initiating moderate to heavy alcohol use predicts changes in neuropsychological functioning for adolescent girls and boys. Psychol Addict Behav 2009; 23:715-22. [PMID: 20025379 PMCID: PMC2802333 DOI: 10.1037/a0016516] [Citation(s) in RCA: 165] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
This study prospectively examines the influence of alcohol on neuropsychological functioning in boys and girls characterized prior to initiating drinking (N = 76, ages 12-14). Adolescents who transitioned into heavy (n = 25; 11 girls, 14 boys) or moderate (n = 11; 2 girls, 9 boys) drinking were compared with matched controls who remained nonusers throughout the approximately 3-year follow-up period (N = 40; 16 girls, 24 boys). For girls, more past year drinking days predicted a greater reduction in visuospatial task performance from baseline to follow-up, above and beyond performance on equivalent measures at baseline (R2Delta = 10%, p < .05), particularly on tests of visuospatial memory (R2Delta = 8%, p < .05). For boys, a tendency was seen for more past year hangover symptoms to predict worsened sustained attention (R2Delta = 7%, p < .05). These preliminary longitudinal findings suggest that initiating moderately heavy alcohol use and incurring hangover during adolescence may adversely influence neurocognitive functioning. Neurocognitive deficits linked to heavy drinking during this critical developmental period may lead to direct and indirect changes in neuromaturational course, with effects that would extend into adulthood.
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Affiliation(s)
- Lindsay M Squeglia
- San Diego State University/University of San Diego Joint Doctoral Program in Clinical Psychology and VA San Diego Healthcare System, San Diego, California, USA
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