Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

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Procedural Learning among HIV+ and HIV- individuals with Substance Dependence R. Gonzalez, J. Jacobus, J.W. Rodriguez, E.H. Fakhoury, E.M. Martin

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Procedural Learning among HIV+ and HIV- individuals with Substance Dependence. R. Gonzalez, J. Jacobus, J.W. Rodriguez, E.H. Fakhoury, E.M. Martin. Brief Background. HIV is associated with striatal damage Substance use affects striatal systems Striatum is critical for procedural learning - PowerPoint PPT Presentation

Transcript of Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

Page 1: Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

R. Gonzalez, J. Jacobus, J.W. Rodriguez,

E.H. Fakhoury, E.M. Martin

Page 2: Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

Brief Background

• HIV is associated with striatal damage

• Substance use affects striatal systems

• Striatum is critical for procedural learning

• Procedural learning in HIV & substance use – A. Martin et al., (1993)– Kalechstein et al., (1998)– Van Gorp et al., (1999)– Waldrop et al., (2001)

Page 3: Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

PL Measures

Pursuit Rotor (PR)

• Trace star seeing only mirror image– Go quickly, stay inside lines

– 4 trial blocks, 2 trials each

– DV = time to complete

• Follow light around circle– 55 rpm

– 4 trial blocks, 2 20s trials each

– DV = seconds on target

Mirror Tracing (MT)

Weather Prediction (WP)

• Try to guess “sun” or “rain” based on cards – Participants are not told probability structure

– 4 trial blocks, 50 cards each

Page 4: Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

Performance on PL Tasks

Performance Indices

| General Deficit(Main Effect)

| PL Deficit(Group X Time)

| # Errors

Time (Trial Blocks)

Per

form

ance

Control Group

Clinical Group

Lea

rnin

g

Page 5: Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

Hypotheses

• HIV+ participants:– poorer performance, overall, on measures of PL

• General Deficit

– less improvement in performance over time on PL tasks• PL Deficit

• More severe substance use:– poorer performance overall and with poorer PL

• Interaction between HIV and substance use

Page 6: Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

Participants

• 79 adults with history of cocaine and/or heroin dependence– HIV- : n = 33– HIV+: n = 46

• Negative u-tox & alcohol breath test

• No cocaine or heroin use in last 7 days

• No current abuse or dependence for EtOH and other drugs

• No history of severe thought disorder or unmedicated bipolar disorder

• No history of significant loss of consciousness or neurological problems

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Demographics HIV – (n = 33) HIV + (n = 46)

Age 45.8 (7.9) 44.2 (6.6) yrs of education 12.3 (1.8) 11.9 (1.7) AmNART 102.6 (9.3) 100.6 (7.6) % men 87.9% 71.7% Ethnicity/Race Caucasian 9% 2% Hispanic 3% 5% African American 88% 91% Other 0 2%

Psychiatric & Medical HIV – (n = 33) HIV + (n = 46) BDI-2 12 (10.6) 14 (12.6) STAI 38.8 (13.3) 37.7 (13.5) WURS 32.8 (19.1) 30.6 (16.6) % on psych meds 21% 36% HCV+ 30% 43% On methadone 36% 4% CD4 | 396 (206) %AIDS (CD4) | 16% plasma viral load (Md, IQR) | 399 [75, 4970] % detectable viral load | 58% on HAART | 48%

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Substance Use Parameters

HIV – (n = 33) HIV + (n = 46) yrs drug use 22.5 (9.1) 22.0 (8.7) dys since last use 120 [64, 263] 182 [86, 373] History of SCID-SAM Dx Alcohol 88% 91% Cocaine 91% 96% Heroin 79% 46% Cannabis 94% 72% Stimulants 7% 24% Hallucinogens 10% 24% Sedatives 17% 29% Injection drug use 42% 46% KMSK (peak) Cocaine + Heroin M, SD 19.5 (6.2) 18 (5.6) Md, Range 19 [6, 29] 16 [9, 28] dys since peak use (Md, IQR) 1095 [240, 2980] 1095 [365, 2351]

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Summary of Results

Pursuit Rotor Mirror Tracing Weather Prediction Main Effects HIV .16 < .01 .12 KMSK ns ns ns Time < .01 < .01 ns Interactions HIV x KMSK ns ns ns HIV x Time ns ns ns KMSK x Time ns .08 ns HIV x KMSK x Time .03 .01 .10

5

7

9

11

13

15

Block 1 Block 2 Block 3 Block 4

Pursuit Rotor

se

co

nd

s

HIV- HIV+

10

12

14

16

18

20

22

24

Block 1 Block 2 Block 3 Block 4

Mirror Tracing

se

co

nd

s

HIV- HIV+

Mirror Tracing HIV Main Effect: Hedges ES = 0.65, 95%CI [0.20, 1.11]Significant 3-way interactions

25

27

29

31

33

Block 1 Block 2 Block 3 Block 4

Weather Prediction

# c

orr

ec

t

HIV- HIV+

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PR Interaction Effect

-4

-2

0

2

4

6

8

10

12

PR

4/4-

PR

1/1

5 10 15 20 25 30KMSKpeak-tobalcmj

-4

-2

0

2

4

6

8

10

12

PR

4/4-

PR

1/1

5 10 15 20 25 30KMSKpeak-tobalcmjKMSK KMSK

PR

ch

an

ge

PR

ch

an

ge

HIV – HIV +

n = 33 n = 46R2 = .16, p = .02 R2 = .03, p = .24

↑ improvement in PR was associated with history of ↑ severe drug use[only for HIV- subjects]

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0

5

10

15

20

ST

Mt1

/4-4

/4

5 10 15 20 25 30KMSKpeak-tobalcmj

MT Interaction Effect

0

5

10

15

20

ST

Mt1

/4-4

/4

5 10 15 20 25 30KMSKpeak-tobalcmj

HIV – HIV +

n = 33 n = 46R2 = .12, p = .05 R2 = .03, p = .26

KMSK

MT

ch

an

ge

MT

ch

an

ge

↑ improvement in MT was associated with history of ↑ severe drug use [only for HIV- subjects]

KMSK

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Summary• HIV+ subjects generally performed worse,

overall, on PL tasks– Significant differences on Mirror Tracing– Evidence suggests general deficit

• History of substance use severity and HIV serostatus interacted to affect procedural learning

Page 13: Procedural Learning among HIV+ and HIV- individuals with Substance Dependence

Possible Explanations• Supersensitivity of striatal dopamine receptors

– Process disrupted by HIV

• HIV+ participants fairly “healthy”

• Control group consisted of individuals with substance dependence

• Amount of striatal damage not sufficient for functional deficits

• HIV deficits are “spotty” affecting multiple systems

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Acknowledgements• NIDA

– F32 DA018522 (RG)– R01 DA12828 (EMM)

• University of Illinois Chicago, Dept. of Psychiatry

• HIV & Addictions Neuroscience– Eileen Martin, PhD– Jasmin Vassileva, PhD– Pyrai Vaughn– Elizabeth Walczak– Leslie Ladd– Sarah Wicks