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IMAGING THE LONG-TERM EFFECTS OF DRUG EXPOSURE IN UTERO
Claire D. Coles, Ph.D.Departments of Psychiatry and Behavioral Sciences and PediatricsEmory University School of Medicine, Atlanta, GA
International Society for Magnetic Resonance in Medicine, Montreal, Canada
May 10, 2011
Dr. Coles’ Affiliations
Departments of Psychiatry and Behavioral Sciences and Pediatrics, Emory University School of Medicine
Fetal Alcohol and Drug Exposure Center, at the Marcus Autism Center of Children’s Health Care of Atlanta
Colleagues Biomedical Imaging
Technology Center, Wallace H. Coulter Center
Emory University & Georgia Institute of Technology
Xiaoping P. Hu, Ph.D.
(Director)
Zhihao Li, Ph.D.
Longchaun Li, Ph.D.
Xiangchuan Chen, PhD.
Priya Santhanam, PhD
Gopikrishna Deshpande, PhD (Auburn University)
Maternal Substance Use and Child Development LaboratoryEmory University School of Medicine
Mary Ellen Lynch, Ph.D.
Julie A. Kable, Ph.D.
Department of Neurology
Felicia Goldstein, PhD.
Department of Psychology
Stephan Hamann, Ph.D.
Some of the Research discussed today was supported by:
National Institute on Alcoholism and Alcohol Abuse, R01
AA014373
National Institute on Drug Abuse, R01-DA 07362
Georgia Department of Human Resources
Acknowledgments
Drug Use During Pregnancy(% Women Reorting Use)
Ebrahim, SH, & Gfroerer, J (2003) Obstetrics and Gynecology, 101, p374-378
%
TM
U.S. Virgin Islands
State-Specific Weighted Prevalence Estimates of Alcohol Use
(Percentage of Any Use/Binge Drinking)
Among Women Aged 18 – 44 Years — BRFSS, 2008
State-Specific Weighted Prevalence Estimates of Alcohol Use
(Percentage of Any Use/Binge Drinking)
Among Women Aged 18 – 44 Years — BRFSS, 2008
Puerto Rico
53.1
14.8
53.1
14.8
53.0
12.9
53.0
12.9
43.3
12.8
43.3
12.8
51.7
18.0
51.7
18.0
45.0
12.9
45.0
12.9
54.4
19.3
54.4
19.3
49.1
15.0
49.1
15.0
56.6
14.7
56.6
14.7
42.6
10.0
42.6
10.0
20.4
6.5
20.4
6.5
51.6
15.5
51.6
15.5
54.0
23.0
54.0
23.0
57.0
19.4
57.0
19.4
53.2
18.9
53.2
18.9
49.2
12.8
49.2
12.8
43.6
11.6
43.6
11.6
40.9
11.3
40.9
11.346.1
12.0
46.1
12.0
56.9
19.3
56.9
19.3
58.2
22.9
58.2
22.9
49.2
16.0
49.2
16.0
39.8
11.1
39.8
11.1
45.6
10.7
45.6
10.7
35.3
8.9
35.3
8.9
31.7
8.0
31.7
8.0
38.0
9.9
38.0
9.9
55.4
19.4
55.4
19.4
68.4
23.9
68.4
23.9 58.8
18.7
58.8
18.7
47.6
12.3
47.6
12.3
54.5
16.3
54.5
16.328.8
6.9
28.8
6.9
38.1
9.5
38.1
9.547.1
12.5
47.1
12.5
40.8
11.4
40.8
11.4
40.4
11.8
40.4
11.8
49.5
14.7
49.5
14.7
51.1
12.8
51.1
12.8
52.5
18.9
52.5
18.9
58.7
18.2
58.7
18.264.0
17.9
64.0
17.9
61.2
12.5
61.2
12.5
63.9
16.0
63.9
16.0
58.0
18.1
58.0
18.1
63.1
19.5
63.1
19.5
55.2
17.1
55.2
17.153.8
14.9
53.8
14.9
62.1
21.9
62.1
21.9
Washington, D.C.
52.3
14.9
52.3
14.9
47.7
10.9
47.7
10.944.7
15.5
44.7
15.5
25.2
7.7
25.2
7.7
41.7
6.1
41.7
6.1
Any Use
Binge
CA
DE
MD
RICT
MA
ME
NH
VT
NJ
NY
PAOH
WV
VAKY
INIL
MI
WI
MN
TNNC
SC
GA
IA
HI
AK
NV
ND
SD
OR
WA MT
AZ
ID
WY
UT
CO
NM
OK
TX
NE
KS
ALMS
LA
MO
AR
FL
28.6
7.1
Guam
Epidemiology: Tobacco
27-33% of women of childbearing age
20-25% of expectant mothers continue use
27% were able to immediately quit use when told that they were pregnant
An additional 12% were able to quit by the third trimester of pregnancy
MANY, DIFFERENT, DEVELOPMENTAL AND BEHAVIOR PROBLEMS ARE NOTED IN CHILDREN, ADOLESCENTS, AND ADULTS EXPOSED TO ALCOHOL AND DRUGS PRENATALLY
The goal(s) of neuroimaging in the study of the effects of prenatal exposure…
Identify specific teratogenic outcomes of drugs of abuse and of the abuse of specific drugs….
Establish the brain basis for behavioral changes observed in affected individuals
Facilitate diagnosis of the effects of prenatal exposure.
Many other factors that may affect outcomes……………..
Genetic differences that characterize women who use drugs/alcohol during pregnancy
Social factors, like nutrition, post natal environment, social class, ethnic group…
Polydrug exposure prenatally and postnatally
Experimental characteristics-sample selection, research design, and so forth
Focus of Presentation
Specific Drugs of Abuse
Alcohol
Stimulants (Cocaine/Methamphetamine)
Methods-Status of knowledge
sMRI
DTI
fMRI
And, yes, there are lots of other methods….
Recent reviews of Imaging literature on Alcohol Exposure (Neuropsychology Review, 2011, 21 (2)
Coles CD; Li Z (2011) Functional neuroimaging in the examination of effects of prenatal alcohol exposure.
Lebel C; Roussotte F; Sowell ER (2011) Imaging the impact of prenatal alcohol expsure on the structure of the developing human brain.
Wozniak JR; Muetzel RL (2011) What does diffusion tensor imaging reveal about the brain and cognition in fetal alcohol spectrum disorders?
Prenatal Alcohol Exposure and Brain Structure (see Lebel,et al, 2011)
20 years of research Brain Volume -Smaller in Diagnosed cases and
prenatal exposure With total BV controlled, specific effects noted in
corpus callosum, caudate, hippocampus, cerebellum. Other areas also noted.
Both white and grey matter affected but white more affected.
Sowell and colleagues-cortical thickening Reductions found more often in frontal, parietal.
Other areas less studied.
Structural effects of Prenatal Alcohol Exposure: an example
Young adults identified prenatally and followed longitudinally. Matched for ethnicity and SES.
96 separate measurements of brain volume, ranging from total Intracranial volume to subcortical stuctures(e.g.,hippocampus)using Free surfer Examined:
Cortical regions Subcortical Corpus Callosum
Compared: Alcohol exposure vs Nonexposed Controls Alcohol “affected” vs “non-affected” vs Controls Male and female differences in alcohol effects
SFr: Superiorfrontal
RMF: Rostralmiddlefrontal
CMF: Caudalmiddlefrontal
PTr: Parstriangularis
POr: Parsorbitalis
LOF: Lateralorbitofrontal
PrC: Precentral
PoC: Postcentral
SuM: Supramarginal
SPa: Superiorparietal
STe: Superiortemporal
ITe: Inferiortemporal
LOc: Lateraloccipital,
CAC: Caudalanteriorcingulate
PCu: Precuneus
Cun: Cuneus
PCa: Pericalcarine
Lin: Lingual
Fus: Fusiform
PHi: Parahippocampal
RAC: Rostralanteriorcingulate
IPa: Inferiorparietal
POp: Parsopercularis.
Chen, et al., (2011) ) Understanding Specific Effects of Prenatal Alcohol
Exposure on Brain Structure in Young Adults, Human Brain Mapping
Cortical regions exhibiting PAE effects
Cbr: Cerebral Cortex
Cbe: Cerebellum
Cortex
Tha: Thalamus Proper
Hip: Hippocampus
Put: Putamen
Pal: Pallidum
Amy: Amygdala
Cau: Caudate
Acu: Accumbens
Area.
R: Right Hemisphere,
L: Left Hemisphere.
Sub-cortical regions exhibiting PAE effects
. Segmentation of the corpus callosum (A), in which some
portions (1, 4 and 5) exhibited the general PAE effect (B). 1:
Anterior, 2: Mid-Anterior, 3: Central, 4: Mid-Posterior, 5:
Posterior.
Effects of Prenatal Alcohol Exposure on Corpus Callosum Volume
•Chen, X., C.D. Coles, M.E. Lynch, X. Hu (2011, in Pre ) Understanding Specific Effects of
Prenatal Alcohol Exposure on Brain Structure in Young Adults, Human Brain Mapping ss
Cortex and Cerebellum volume in Alcohol Affected Adults and two control groups (N=78)
0
50000
100000
150000
200000
250000
LC Cortex RC Cortex LCB C'tex RCB C'tex
Control
EtOH
DYSM
SpecED
Brain Region
p<.02 p<.03 p<.04 p<.04
In Cerebral
Cortex,
Dysm<Controls,
Left, p<.008;
Right, p<.05, no
other groups are
significantly
different.
Coles, Li, et al. 2008
White matter volume in alcohol-exposed adults and controls
(N=78).
0
50000
100000
150000
200000
250000
Lcerebral Rcerebral Lc'bellum Rc'bellum
Control
EtOH
DYSM
SpecED
Brain Region
p<006 P<.008 p=.07 p=.09
In Cerebral
Cortex,
both
alcohol
groups
differ from
both
control
groups and
not from
each other.
Coles, Li, et al. 2008
Prenatal Alcohol Exposure and DTI (see, Wozniak & Muetzel, 2011)
7 Studies, 2 with adults, 5 with older children and adolescents.
Microstructural anomalies found in many regions studied, but particularly, Corpus Callosum
Structural and functional deficits appear related
DTI seems sensitive to teratogenic effects of alcohol; however, effects are not specific but similar to those in other disorders
Lack of developmental norms makes interpretation difficult.
Skeletonized FA difference between Control and Non-Dysmorphic PAE groups
(green=skeleton, purple=anatomically defined ROI, pink=region of significant
difference). Similar differences were seen between control and dysmorphic PAE
groups.
Santhanam, et al, 2011, in press
Using TBSS for DTI analysis, voxel-wise statistics on the skeletonized FA data reveal
subregions of the cingulum with significantly lower FA values in both PAE groups
versus control subjects.
TBSS results for bilateral cingulum. ROI shows significant differences between
(a) Control and Non Dysmorphic PAE groups
(b) Control and Dysmorphic PAE groups in FA.
Green indicates mean FA skeleton and red indicates regions of significant difference between groups, with thickened red-yellow for the bilateral cingulum ROI. Axial slices shown are z=107 to z=112.
Prenatal Alcohol Exposure and Functional Imaging(see, Coles & Li, 2011) Limited research (ERP=5 studies; fMRI=9 studies)
Overall-global decrement in processing resources/neural efficiency
Regional localization not best way to understand alcohol-related deficits?
Experimental parameters affect activation(e.g., subject characteristics, task difficulty)
Specific issues (e.g., microcephaly, IQ, comorbidities)
fMRI results: Spatial Working MemoryFunctional brain
activation differences (bottom frame) between the PAE (top-left frame) and control (top-right frame) subjects in a spatial working memory task. The exposed group exhibited greater activation in extended brain regions.
This figure is adapted from Spadoni, et al, 2009 with permission.
Spadoni, A. D., Bazinet, A. D., Fryer, S. L., Tapert, S. F., Mattson, S. N., & Riley, E. P. (2009). BOLD response during spatial working memory in youth with heavy prenatal alcohol exposure. Alcoholism: Clinical And Experimental Research, 33(12), 2067-2076.
Studied DMN in Alcohol Exposed young adults during Math Task
Reduced DMN deactivations found in other clinical conditions, particularly those associated with attentional deficits
Activities of this network can be used to examine functional synchrony (fMRI)
Functional correlations in DMN can be correlated with evidence of Structural connectivity identified using DTI
Hypotheses regarding Effects of Alcohol
DMN deactivation reduced in Alcohol-affected groups
White matter integrity in DMN reduced
Synchonization reduced between MPFC and PCC (fMRI activation)
Correlation between FA (DTI) and fMRI results reduction associated with PAE
Regions of default mode deactivation during arithmetic task (using letter-matching task as baseline). MPFC and PCC clusters from these group average activation maps were used for subsequent resting-state analysis. Color bar indicates these regions are negatively activated.
Figure 1
Resting-state functional connectivity (correlation) group maps (a) with and (b) without global signal regression. At threshold p<0.001, only positive correlation (red-yellow was noted with the seeding region regardless of regression method. Seeding was in the PCC region defined in Figure 1.
Resting State DMN correlations and Task Based DMN Deactivation
Control ARND Dysm
% Signal change in PCC
-0.585
(0.06)
-0.536
(0.05)
-0.425
(0.06)
Mean Corr. Coeff in MPFC
0.285
(0.03)
0.190*
(0.03)
0.206*
(0.03
*Significantly different from Controls, p<.05
Resuts: Default Mode
Task related deactivity in DMN affected by PAE
Structural Connectivity lower (DTI)
Functional Connectivity affected (fMRI)
Implies that structural connectivity deficit affects functional network in system that modulates attention and cognition
Effects of Prenatal Stimulant Exposure: Reviews
Roussotte F, Soderberg L, Sowell E. Structural, metabolic and functional abnormalities as a result of prenatal exposure to drugs of abuse: Evidence from neuroimaging. Neuropsychol Rev. 2010 Dec;20(4):376-97.
Derauf C, Kekatpure M, Neyzi N, Lester B, Kosofsky B. Neuroimaging of children following prenatal drug exposure. Semin Cell Dev Biol. 2009 Jun;20(4):441-54.
Stimulant Studies
Published studies of Cocaine very limited; Methamphetamine even fewer.
Results are inconsistent
In most studies reductions are noted in Brain Volume
Polydrug use is very common; Often effects of stimulants do not persist when other drugs are controlled.
Program #: 4344 PCE Effects on Brain Structures
Cortical regions affected by Prenatal Cocaine Exposure
• Left hemisphereA: Frontal Pole, B: Rostral Middle Frontal Gyrus, C: Precentral Gyrus, D: Inferior Parietal Lobule, E: Precuneus Cortex
• Right hemisphereF: Caudal Middle Frontal Gyrus, G: Rostral Middle Frontal Gyrus, H: Pars Triangularis, I: Pars Opercularis, J: Medial Orbital Frontal Cortex, K: Caudal Anterior Cingulate Cortex, L: Precuneus Cortex
Chen, X, Coles, CD, Lynch, ME, Li, Z, Hu, X (2011) Effects of prenatal cocaine exposure on human brain structures, Poster # 4344, Montreal, CA
Prenatal cocaine exposure and emotional arousal in adolescents: Neuroimaging and N-Back task
Bilateral amygdala area(brain images) comparing activation between Cocaine exposed and Controls (bar graphs). Activation level is the produce of mean regression coefficient (representing the fMRI signal amplitude) and number of activated voxelsin the ROI (representing the activation volume). With “NEU0” value as the baseline (zero). The error bars represent standard error.
Li, Z, Coles, CD, Lynch, ME, Hamann, S., Pelter, S, LaConte, S & Hu, X (2009) Prenatal cocaine exposure alters emotional arousal regulation and its effects on working memory, Neurotoxicology and Teratology, 31 (6), 342-348.
Cocaine exposed adolescents do not show the usual balance between cognitive and emotional arousal
Left dorsal lateral prefrontal area(brain images) and the activation amount comparison between groups (bar graphs). As in the previous slide, there is an interaction between Condition (Neuo.Neg) and Exposure Group.
Li, Z, Coles, CD, Lynch, ME, Hamann, S., Pelter, S, LaConte, S & Hu, X (2009) Prenatal cocaine exposure alters emotional arousal regulation and its effects on working memory, Neurotoxicology and Teratology, 31 (6),
342-348.
Summary The study of effects of prenatal exposure is in the
early stages (Alcohol>Cocaine>other drugs) There is a great deal of similarity in outcomes (e.g.,
reduced brain volume, inefficient neural processing on fMRI) that suggest non-specific effects or polydrug effects.
Sample sizes are not yet large enough to control for potentially confounding genetic and environmental factors.
“developmental norms” are not yet available to allow interpretation of some findings.
Current research findings based on group differences; Methods are not yet appropriate for diagnostic purposes