rebecca elliott - cambridge cognition

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The EMOTICOM battery: a new paradigm for assessing affective cognition Rebecca Elliott, University of Manchester

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Page 1: Rebecca Elliott - Cambridge Cognition

The EMOTICOM battery: a new paradigm for assessing affective cognition Rebecca Elliott, University of Manchester

Page 2: Rebecca Elliott - Cambridge Cognition

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Cognitive impairment: depression

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Page 3: Rebecca Elliott - Cambridge Cognition

Affective Cognition: Fundamental to the neurobehavioural pathology of psychiatric disorders.

Page 4: Rebecca Elliott - Cambridge Cognition

Developing a battery

• Standardised instrument for:

– Research

– Clinical trials

• Using CANTAB principles

– Reliable, repeatable

– Engaging tasks

– Easy to administer

– Multiple outcome measures

– Neural validity

Page 5: Rebecca Elliott - Cambridge Cognition
Page 6: Rebecca Elliott - Cambridge Cognition

FACE GO/NOGO TASK

GO! GO! NO GO!

Page 7: Rebecca Elliott - Cambridge Cognition

MONETARY INCENTIVE

High Win Low Win Neutral Low Loss High Loss

Well done!

You have won 50p

PRESS! WAIT… REWARD

Page 8: Rebecca Elliott - Cambridge Cognition

DELAY DISCOUNTING

Page 9: Rebecca Elliott - Cambridge Cognition

SOCIAL INFORMATION TASK

9

Page 10: Rebecca Elliott - Cambridge Cognition

ULTIMATUM GAME

0.0

0.2

0.4

0.6

0.8

1.0

10 20 30 40 50

% offered

Page 11: Rebecca Elliott - Cambridge Cognition

Validation study

• 200 healthy controls

• 100 men, 100 women

• 100 degree educated, 100 not

• Ethnically representative of UK

• Mean age 26.6

• 42 tested twice, 1-2 weeks apart

• Factor analysis

• Test-retest reliability

• Correlations with demographic factors

Page 12: Rebecca Elliott - Cambridge Cognition

1 2 3 4 5 6 7 8 9 10 11

Emotional Recognition

Eyes affective bias

Face affective bias

0.63

0.74

Intensity Morphing

Increasing affective bias

Decreasing affective bias

-0.66

0.62

Words affective Go/no-go

Affective bias (RT) 0.49

Reinforcement Learning

Loss learning rate

Win learning rate

-0.77

0.66

Faces affective Go/no-go

Affective bias (RT) -0.74

Ultimatum Game

Risk adjustment 0.78

Delay Discounting

Delay discounting

Probability discounting

-0.60

-0.49

Emotional memory

Retrieval affective bias 0.75

Cambridge Gambling Task

Win RA

Loss RA

0.79

0.82

Monetary incentive reward

Win-neutral RT

Loss-neutral RT

0.87

0.83

Moral Emotions

Guilt rating (agent)

Feeling “bad” rating

-0.87

0.89

Information Preference

Proportion thoughts

Outcome affective bias

-0.70

0.65

Prisoners Dilemma

Steal rate (%) -0.82

Ultimatum Game

Value of offers proposed 0.83

Inference and Integration

Effect of probability

Effect of computer choice

0.96

0.95

Test Factors

Page 13: Rebecca Elliott - Cambridge Cognition

Other Results

• Test-retest reliability (N=42)

– 10 measure >0.7

– 10 measures 0.4-0.7

– 5 measures below 0.4

• Demographic factors:

– Face recognition correlated positively with age

– Delay discounting with IQ

– Guilt in moral dilemmas with gender

Page 14: Rebecca Elliott - Cambridge Cognition

• Very little redundancy in factor structure

• Moderate to excellent test-retest reliability on most measures

• Limited correlations with age, sex or IQ

• Very well tolerated

• Can be done by children

• Several tasks need refining

• Need to show that tests are sensitive to neuropsychiatric disorders

• Need to show that tests are sensitive to interventions

• Need to consider cross-cultural validity

Page 15: Rebecca Elliott - Cambridge Cognition

EMOTICOM team: • Rebecca Elliott (Manchester) • Barbara Sahakian (Cambridge) • Trevor Robbins (Cambridge) • Jon Roiser (UCL) • Mitul Mehta (IoP) • Amy Bland • Thea Schei

COLLABORATORS: • Marcus Munafò, Ian Penton-Voak, • Valerie Voon, Daniel Campbell-Meiklejohn • Essi Viding • Richard Emsley

• CAMBRIDGE COGNITION