adolescent brain development: understanding the impact of
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Adolescent Brain Development: Understanding the Impact of Substance UseAdolescent Substance Abuse, Treatment Outcomes
and Cognitive FunctioningCONGRESSIONAL BRIEFING OCTOBER 2014
Sandra A. BrownVice Chancellor for Research
Distinguished Professor of Psychology and PsychiatryUniversity of California‐ San Diego
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Underage Drinking Research: Early Work
•Early Neuroscience FOAs for NIAAA(1990‐2002)• ‐ Recognized intersection of adolescent alcohol use and
neurodevelopment • ‐ Division of Basic Research FOAs for both animal and human research
•Epidemiology ‐ (1991‐1992 )• ‐ First National Longitudinal Alcohol Epidemiology Survey (NLAES) • ‐ Association between early drinking and later dependence.1
•Underage Drinking Research Initiative (2003‐2004)• ‐ Interdisciplinary Steering Committee to advise NIAAA • ‐ Broad range of experts: adolescent development; child health; brain
imaging; genetics; neuroscience; prevention research; public policy; health communications
1 Grant & Dawson, JSA
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Underage Drinking Initiative: Highlights
• Clear: Underage Drinking is a Developmental Issue• Alcohol abuse and alcoholism emerge from developmental processes• Reframing has influenced across federal agencies (e.g. NIAAA, SAMHSA, CDC, NHTSA, ED)
• Adolescence in all its complexity is a primary locus for studying the gene environment interplay that NIAAA addresses
• Pediatrics Supplement, Underage Drinking: Understanding and Reducing risk in the Context of Human Development, and A Parallel Issue of Alcohol Research and Health (2008)
• Developmental Framework• Science organized by age group (under 10,10‐15,16‐20) reports• Prevention and Treatment reviews
• Surgeon General’s Call to Action to Prevent and Reduce Underage Drinking
• 2007 ‐ National release with the SG’s office and State roll‐outs • Governors’ Spouses Leadership in their respective states
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Underage Alcohol Use and the Developing Brain: Key Questions
• Short and long‐term consequences of alcohol exposure on brain, cognitive, and emotional/regulatory development during preadolescence and adolescence;
• Effects of timing, dose and duration of alcohol on brain and cognitive development;
• Recovery of neural and behavioral function to determine if the plasticity of the adolescent brain makes it more or less vulnerable to alcohol’s acute and chronic effects;
• Risk and vulnerability factors in alcohol’s effects on the brain; and
• Identify early neural, cognitive, and affective markers that may predict alcohol abuse and dependence during adolescence and/or adulthood.
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Research on Underage Alcohol Use and the Developing Brain:
A Two‐Phase Research Initiative in humans:• Phase I: five R21 projects in humans (2007) to assess the practicability of moving forward with a large scale project
• Phase II: Multisite longitudinal study to evaluate alcohol’s effects on the developing adolescent brain (2012) before and as youth begin to have experience with alcohol.
Animal studies to clarify human research:• Studies on alcohol, puberty, and adolescent brain development• Neurobiology of Adolescent Drinking in Adulthood (NADIA) consortium is studying the effects of adolescent alcohol use on the adult brain.
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Brain Architecture and Functioning Changes Throughout Childhood &
Adolescence
Large volume of brain cells prior to adolescenceBegin to “Sculpt” Neural connections about age 11‐12‐activate or eliminate‐posterior to anterior sequence
Gotay et al, 2004
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Brain Regulatory Systems Critical to Adolescent Success Begin to Develop
Before Age 11
• Emotional Control• Social Regulation• Behavioral Control & Social Rules
• Regulation of Sleep & Activation Cycles• Regulation of Stress Response
Zucker, 2006
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Alcohol Treatment Teens Remember 10% Less Than Community Teens After 20 Minutes
Brown, et al. ACER. 2000
75%
80%
85%
90%
95%
100%
VerbalInformation
NonverbalInformation
Ret
entio
n R
ate
AlcoholDependent
NonabusingComparisons
•Gender•Age •Grade •SES•FH
10% 10%
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Neurocognitive Functioning Deteriorates with Continued Alcohol Use After Treatment
20
25
30
35
40
45
50
55
60
Treatment Four-Year Follow-Up
Timepoint
Visu
ospa
tial T
-sco
re Good treatmentoutcome
Post-txwithdrawal butNo recent use
Post-txwithdrawal andRecent use
Tapert & Brown (1999)
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Long Term Course of Treated Youth Varies Markedly :
Abstention, Regular use, Age Dependent Problems and Chronic Problems
Abstain
Late Adolescent Resurgence
Young Adult Heavy Use
Heavy Drinkers
Chronic Severe
Heavy Drk/Drug Dep
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Memory Performance over 10‐Years: Concern for Heavy Drinkers & Drug Users
Hansen et al 2010
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Memory Performance over 10‐Years: Concern for Heavy Drinkers & Drug Users
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Alcohol and Drug Trajectories from Adolescence to Mid‐Twenties
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Adolescent Binge Drinkers Display Learning and Memory Problems During Early Abstinence: Memory
Errors
0
2
4
6
8
10
12
1 2 3
Timepoint
Num
ber o
f Rep
etiti
on E
rror
s
ControlsAlcohol
2 weeks 4 weeks 6 weeksWinward et al 2014
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Adolescent Binge Drinkers Display Learning and Memory Problems During Early Abstinence: Visuospatial Ability
50
55
60
65
70
1 2 3
Timepoint
Bloc
k De
sign
Raw
Sco
re
ControlsAlcohol
2 weeks 4 weeks 6 weeksWinward et 2014
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Adolescent Binge Drinkers Display Learning and Memory Problems During Early Abstinence:
Visuospatial Accuracy
20
25
30
35
1 2 3
Copy
Acc
urac
y Sc
ore
Controls
Alcohol
2 weeks 4 weeks 6 weeks
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Brain Functioning: Multiple Methods to Understand Structure and Function
• Structural MRI
• DTI
• fMRI
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White Matter Change in Late Adolescence
18
Significant fiber improvement, age 17.5 to 19NC performance correlated with DTI changes
Bava, Thayer, Jacobus, Ward, Jernigan, & Tapert
Right Frontal-Parietal+11%
Frontal+8%
Left Frontal-Parietal
+5%
R thalamic fibers+10%
R posterior limb of internal capsule
+5%
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Cerebellar Volume
19
Lisdahl et al., 2013, Psychiatry Research
Teens: higher peak drinks predicted smaller left cerebellar gray (p=.02) and white matter (p=.02) and right cerebellar gray matter (p=.006).
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L PCR Splenium R PCR R SLF R STG
Increased Drinking Worse White Matter
20
Bava et al., 2013, ACER
• Users showed poorer white matter integrity than Controls in 7 tracts (p<.01)
0.5
0.55
0.6
0.65
0 200 400 600Mea
n D
iffus
ivity
<-
-bet
ter -
-wor
se --
>
Drinking Days Between Scans
Right Superior Longitudinal Fasciculus Integrity, Time 2
More drinking during followup predicted
worsened white matter
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Neurocognitive Performance in relation to age of onset of MJ
4
6
8
10
12
14
16
18
8 10 12 14 16 18 20
Scal
ed S
core
s
MJ Age of Onset
Trails Number Sequencing
21
4
6
8
10
12
14
16
18
8 10 12 14 16 18 20
MJ Age of Onset
Digit Symbol Coding
r = .33 to .44
Jacobus et al.
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Alcohol Cue Reactivity of Heavy Drinking Adolescents compared to Controls
Non-Alcohol Pictures
++
Alcohol Pictures
+
+ +
Tapert et al (2003)
Matched:ColorLight
ContentValence
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AUD Adolescent Response to Alcohol Cues is Pronounced Even with Abstinence
• Orange: AUD teens had greater increase in response to alcohol pictures relative to other beverages
LEFT HEMISPHERE
Tapert et al (2003)
EmotionInterestCravingReward
Anterior Cingulate& NAc
Orbital/Prefrontal
Posterior cingulate/Precuneous
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Teen Substance Use & Brain
Tapert & Jacobus, 2013 24
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National Consortium on Alcohol and Neurodevelopment in Adolescence: NCANDA
SRI/Stanford Pittsburgh
DukeUC San Diego
Ken Sher
Andrea Hussong
Raquel Gur
DolfPfefferbaum
Torsten Rohlfing
Ian Colrain Fiona Baker
Susan Tapert
Sandra Brown
Mike DeBellis
Duncan Clark
OHSUPortland
Bonnie Nagel
Sites Advisors Collaborations
Robert Zucker
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>7,500 screened
830 baseline MRIs completed
50% Representative
50% High Risk
3 annual follow-ups:Interview, Neuropsych, MRI
(~25% heavy drinkers)
>50,000 school and communityrecruitment
5 Sites, 830 Adolescents
Administration:•Sandy Brown - Coordinator•Susan TapertData:•Dolf Pfefferbaum•Kilian Pohl•Edie SullivanSites:•U Pittsburgh – Duncan Clark•SRI – Ian Colrain & Fiona Baker•Duke Univ – Mike DeBellis•OHSU – Bonnie Nagel•UCSD – Susan Tapert
26
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Data ManagementNCANDA CONCEPTUAL MODEL
Brain Development
Structure Function
Adolescent Alcohol Consumption
Dose/Duration/Timing
Developmental ContextGenetics
Age/Gender/PubertyRisks Environment
BehaviorNeurocog FunctioningAlcohol Problems/AUD
PsychopathologyMaturation
Real Life Functioning830+ 12‐21yr olds followed annually for 3 years
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NCANDA Sample (Ages 12‐21): Build a sample representative of American youth
Race N %White 616 74%AA/Black 100 12%Asian 63 7.5%Native American 3 0.4%Pacific Islander 5 0.6%Multiple/Other 47 5.5%Hispanic/Latino 99 12%
Gender Size %
Female 411 49%
Male 423 51%
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• Most Youth are Alcohol Naïve (70%)• Most Youth are Binge Naïve (85%)• Small Sample with Regular Drinking (6%)
OVERALL FOLLOW‐UP RATE: 90%1 Year Follow‐ups = 90% Mid‐year interview (every 6 months) = 89%
Special focus: Inhibitory Response DysregulationSleep DisruptionNeural Network AbnormalitiesRecoverability of Cognitive Deficits
NCANDA Sample and Success
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IR‐Prep SPGR vs. MPRAGE
GE GE GESiemens Siemens
There are difference in the images across different scanners.
NCANDA:
Data combined across sites with precision
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NCANDA: Maturation of white matter microstructure
Three dimensional rendering of the regions of greatest magnitude of white matter maturation in the adolescent brain derived from Diffusion Tensor Imaging (DTI).
Unpublished preliminary data.
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NCANDA: White matter integrity by age suggest that boys and girls mature at a similar rate.Unpublished preliminary data.
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Technology to Link Biological & Behavioral Systems
Treat, Mutchler, Schick, 2014
Increased sensitivity of biological and radiological measures
Increasedvisualization Capacity to articulate Multiple system/functioning