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How nicotine affects visual attention

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Title: How nicotine affects visual attention


1
How nicotine affects visual attention
RESEARCH IN COGNITIVE SCIENCE Sept. 14, 2009
Signe A. Vangkilde Cand.psych., Ph.d.-stip.
University of Copenhagen
Center
for Visual Cognition
2
Outline
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Introduction and objective
  • Experiment Nicotinic manipulation of visual
    attention
  • Methods and participants
  • Results
  • Controlling for confounding factors
  • Conclusions Nicotine and attention

3
Outline
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Introduction and objective
  • Experiment Nicotinic manipulation of visual
    attention
  • Methods and participants
  • Results
  • Controlling for confounding factors
  • Conclusions Nicotine and attention

4
Psychopharmacology of attention
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • 3 neurotransmitter systems have repeatedly been
    linked to attentional functions
  • Acetylcholine (Ach)
  • integrity of different memory systems
  • maintaining selective attention over time
    (sustained attention)
  • effects of selective attention on learning new
    information
  • Noradrenaline (NA)
  • effects of arousal on selective attention
  • distractibility
  • working memory functions of the prefrontal
    cortex
  • Dopamine (DA)
  • executive control

5
Acetylcholine and attention
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Cholinergic dysfunction has most often been
    associated with long term memory impairments but
    acetylcholine is probably equally linked to the
    integrity of our attentional functions
  • Nicotine is an important cholinergic
    neurotransmitter that has been linked to various
    cognitive functions
  • Several studies have observed attentional
    modulations after nicotine, but the exact roles
    played by nicotine and other cholinergic
    substances in attention remain unclear
  • Lack of studies manipulating nicotine levels in
    non-smokers
  • Lack of a common theoretical framework for
    understanding the findings

6
Psychopharmacology of TVA
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • General idea
  • Use the Theory of visual attention, TVA,
    (Bundesen, 1990) as a general framework for
    understanding the psychopharmacology of visual
    attention
  • General method
  • Compare drug-induced changes in the value of
    distinct TVA parameters in a double-blind,
    counter-balanced, within-subjects design
  • Objective of current experiment
  • To clarify at which point in the attentional
    process nicotine exerts its effects by
    identifying the attentional components that are
    affected by nicotine

7
Outline
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Introduction and objective
  • Experiment Nicotinic manipulation of visual
    attention
  • Methods and participants
  • Results
  • Controlling for confounding factors
  • Conclusions Nicotine and attention

8
Nicotinic manipulation of visual attention
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Participants
  • 20 healthy, non-smoking subjects (17 women),mean
    age 23.4
  • 2 experimental sessions (50 minutes, 432 trials)
  • Pharmacological manipulation (counter balanced)
  • 2 mg nicotine gum or placebo gum, chewed 30 min.
    prior to testing
  • Hypothesis
  • Nicotinic manipulation will affect parameters
    related to the perceptual threshold and/or speed
    of processing

9
Measures
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • TVA-based testing
  • Accuracy based test of visual attention(Bundesen,
    1990, Psych. Rev.)
  • VAS scales monitoring
  • Sleepiness
  • Dizziness
  • Nausea
  • Blurred vision
  • Dry mouth
  • Arousal level

10
TVA paradigm
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
Fixation cross in target colour(1000 ms)
Stimulus display(10-20-50-80-140-200 ms)
Interval(100 ms)
Mask(500 ms)
No interval
Subject reports(Inter-trial interval)
11
Demonstrationof TVA paradigm
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
12
(No Transcript)
13
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14
(No Transcript)
15
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
TVA paradigm
  • Main parameters
  • t0 threshold of conscious perception
  • C visual processing speed
  • K capacity of visual short term memory
  • a selectivity
  • w_index lateralization of attentional weights

16
TVA parameters graphically
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
17
VAS measures
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
18
VAS measures
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
Effect Sleepiness Dizziness Nausea Vision Mouth Arousal
Drug (main) ns
Time (main) ns
Drug x Time ns ns ns
In a repeated measures ANOVA with two within-subjects factorsDrug (Nicotine and Placebo) Time (Baseline, Pre-test, Post-test) p lt .05, p lt .01, ns non-significant In a repeated measures ANOVA with two within-subjects factorsDrug (Nicotine and Placebo) Time (Baseline, Pre-test, Post-test) p lt .05, p lt .01, ns non-significant In a repeated measures ANOVA with two within-subjects factorsDrug (Nicotine and Placebo) Time (Baseline, Pre-test, Post-test) p lt .05, p lt .01, ns non-significant In a repeated measures ANOVA with two within-subjects factorsDrug (Nicotine and Placebo) Time (Baseline, Pre-test, Post-test) p lt .05, p lt .01, ns non-significant In a repeated measures ANOVA with two within-subjects factorsDrug (Nicotine and Placebo) Time (Baseline, Pre-test, Post-test) p lt .05, p lt .01, ns non-significant In a repeated measures ANOVA with two within-subjects factorsDrug (Nicotine and Placebo) Time (Baseline, Pre-test, Post-test) p lt .05, p lt .01, ns non-significant In a repeated measures ANOVA with two within-subjects factorsDrug (Nicotine and Placebo) Time (Baseline, Pre-test, Post-test) p lt .05, p lt .01, ns non-significant
19
Nicotine and VSTM capacity (K)
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
Capacity of visual short term memory is
unaffected by nicotine,t(19) 1.78, p gt .05, r
.38
20
Nicotine and perceptual threshold (t0)
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
Nicotine induces a significant decrease in the
perceptual threshold, t(19) 2.31, p .032, r
.47
21
Nicotine and perceptual threshold (t0)
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
Nicotine induces a significant decrease in the
perceptual threshold, t(19) 2.31, p .032, r
.47
22
Nicotine and processing speed (C)
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
After nicotine processing speed is significantly
reduced, t(19) 3.86, p .001, r .66
23
Nicotine and processing speed (C)
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
After nicotine processing speed is significantly
reduced, t(19) 3.86, p .001, r .66
24
Nicotine and selectivity (a)
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
Nicotine significantly impairs selectivity, t(19)
-2.99, p .008, r .57
No selectivity
Perfectselectivity
25
Nicotine and selectivity (a)
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
Nicotine significantly impairs selectivity, t(19)
-2.99, p .008, r .57
Less selective
More selective
26
Nicotine and distribution of attention
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
After nicotine attention is more evenly
distributed, t(19) -2.96, p .008, r .56
Left-sidedbias
Right-sidedbias
27
Nicotine and distribution of attention
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
After nicotine attention is more evenly
distributed, t(19) -2.96, p .008, r .56
Left-sidedbias
Right-sidedbias
28
Controlling for confounding factors
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Retest reliability
  • Error rate
  • Drug order
  • Statistical assumptions

29
Retest reliability
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • 14 healthy young subjects (7 women, 7 men)
  • 2 sessions of TVA based testing(same paradigm, ¾
    number of trials)
  • Tested at least three weeks apart

  Session 1(mean) Session 2(mean) F(1,13) p
t0 0.012 0.012 0.529 0.48
K 3.32 3.36 4.298 0.06
C 38 40 0.281 0.61
alpha 0.59 0.48 2.717 0.12
w_index 0.45 0.44 0.974 0.34
30
Nicotine and error rates
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
Error rates are slightly and just significantly
increased after nicotine,t(19) -2.20, p .04,
r .45
31
Controlling for Error rate
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Are changes in error rate driving the observed
    effects?
  • Two groups based on increase in error rate after
    nicotine
  • Two-way repeated measures ANOVAs with Drug as
    within subjects factor (levels Nicotine
    Placebo) and Error group as between subjects
    factor (levels High Low Error group) were
    conducted for t0, C, alpha, w_index

  F(1,18) Main effect (Drug) F(1,18) Interaction effect(Drug x Nic session)
t0 5.066 0.037 0.007 0.805
C 14.497 0.001 0.527 0.163
alpha 9.330 0.009 1.839 0.659
w_index 10.010 0.005 3.760 0.068
32
Controlling for drug order
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Is the drug order influencing the effects?
  • Two-way repeated measures ANOVAs with Drug as the
    within subject factor (levels Nicotine
    Placebo) and Nicotine session as between subjects
    factor (levels Nic. in session 1 Nic. in
    session 2) were con-ducted for the relevant
    parameters t0, C, alpha, w_index, and error rate

  F(1,18) Main effect (Drug) F(1,18) Interaction effect(Drug x Nic session)
t0 6.095 0.024 1.656 0.214
C 14.101 0.001 1.345 0.261
alpha 8.450 0.009 0.012 0.913
w_index 8.403 0.010 0.084 0.775
Error rate 4.358 0.051 1.334 0.263
33
Non-parametric control
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Parametric tests were used for all analyses
  • With a sample size of 20 it is difficult to
    ascertain that the parametric assumptions are met
  • Possible solution ?use non-parametric tests (e.g.
    Wilcoxons Signed Ranks Test)

  PLA_mean NIC_mean T p r
t0 0.012 0.009 35 -0.49
K 3.57 3.44 51.5 ns -0.39
C 56.33 45.03 17 -0.73
alpha 0.4 0.52 38 0.56
w_index 0.47 0.5 38 0.56
Error rate 0.15 0.17 19 0.47
34
Outline
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Introduction and objective
  • Experiment Nicotinic manipulation of visual
    attention
  • Methods and participants
  • Results
  • Controlling for confounding factors
  • Conclusions Nicotine and attention

35
Nicotine and TVA
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Nicotine seems to
  • Decrease threshold of conscious perception (?t0
    30)
  • Slow down later visual processing (?C 18)
  • Decrease selectivity (?a 30)
  • Leave VSTM capacity unaffected (?K lt 3)
  • Even out distribution of attentional weights
    (?w_Index 7)
  • Median values

36
?t0 ?C ?a
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Attentional weights have to be calculated and
    allocated before the race towards encoding
    starts
  • The duration of t0 probably reflects the
    calculation and allocation of attentional weights
    (among other things)
  • Fast, but sloppy weight estimations would lead
    to
  • smaller t0, i.e. lower perceptual threshold
  • less precise resource allocation ? smaller C,
    i.e. effectively slower processing of information
  • less clear difference between of target weights
    and distractor weight ? higher a ? worse
    selectivity

37
Summary of findings
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • Increased levels of nicotine in the brain result
    in a lower perceptual threshold thus advancing
    the point in time at which encoding of
    information into visual short-term memory is
    begun.
  • However, a nicotine surplus also induces trade
    offs by
  • slowing down the speed of processing,
  • weakening the attentional selectivity thus
    making subjects more prone to spend
    valuable resources on irrelevant information, and
  • increasering the probability of making errors
  • Finally, nicotine does not seem to affect the
    capacity of visual short term memory.
  • Therefore, nicotine is modulating important
    aspects of attention but some attentional
    functions degrade by higher levels of nicotine.

38
Thanks!
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
39
A Theory of Visual Attention
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
RACE(between categorizations)
Visual inputs
Visualshort term memory
Visuallong term memory
40
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
D G C E B
F R J
p
ß
?1, ?2, ?3, ... ?n
w1, w2, w3, ... wn
v1, v2, v3, ... vn
VLTM
Rate
Race
VSTM
41
?t0 ?C ?a
S. VANGKILDE
CENTER FOR VISUAL COGNITION
UNIVERSITY OF
COPENHAGEN
  • The duration of t0 probably reflects the
    calculation of attentional weights (among other
    things)
  • Attentional weights have to be calculated and
    allocated before the race towards encoding
    starts
  • Sloppy weight estimations
  • smaller t0, i.e. lower perceptual threshold
  • less precise resource allocation ? smaller C,
    i.e. effectively slower processing of information
  • less clear difference between weights of targets
    and weights of distractors ? higher a ? worse
    selectivity
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