The Self II: Optimism & the Human Brain Flashcards

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1
Q

THE SELF THUS FAR

A
  • above average effect/superiority illusion
  • most rank themselves above average
  • logically impossible; most cannot be better than most; blind to illusions
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2
Q

OPTIMISM BIAS

A
  • dif between person’s expectations/outcome
  • if expectations = better > reality -> bias = optimistic
    SHAROT (2012)
  • in charge of keeping minds at ease/bodies healthy
  • moves us forward rather than up
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3
Q

SOCIAL COGNITIVE NEUROSCIENCE ON OPTIMISM

A
  • queries of:
    1. how brain mediates OB?
    2. why we still show unrealistic optimism (UO) despite reality disagreeing?
    3. does research resist scrutiny?
    4. is OB always occurring?
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4
Q

SHAROT ET AL (2007): METHOD

A
  • fMRI collected while pps thought autobiographical events from past/future
  • rated memories/projections on 6 factors linkes to subjective experience (ie. arousal/vividness)
  • completed Life Orientation Test Revised (LOT-R) measuring trait optimism; eg:
    1. if something can go wrong, it will
    2. i’m always optimistic about the future
    3. i rarely count on good things happening
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5
Q

SHAROT ET AL (2007): PRELIM FINDINGS

A
  • future positive events rated ^ positive > future negatives; imagined in closer temporal proximity > future negatives
  • negative futures = < strongly experienced than positive futures
  • the more optimistic pps (LOT-R score) the more likely to expect positives to occur before/more strongly than negatives
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6
Q

SHAROT ET AL (2007): FMRI FINDINGS

A
  • several regions of interest (ROIs) identified:
  • rostral anterior cingulate cortex (rACC)
  • ventral medial prefrontal cortex
  • posterior cingulate cortex
  • dorsal medial prefrontal cortex
  • ALL key in autobiographical memory retrieval/imagining future events
  • amygdala (emotions in autobiographical memory) also found as ROI
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7
Q

SHAROT ET AL (2007): NEXT STEPS

A
  • questioned if changes in brain regions correlate w/LOT-R scores aka. do optimistic people’s brains show dif activation patterns?
  • evidence of relation between LOT-R scores/rACC ONLY
  • correlation between rACC/amygdala activity when imagining future positives (weaker for negatives)
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8
Q

SHAROT ET AL (2007): CONCLUSIONS

A
  • we can’t do much about the past but there’s flexibility in future interpretation
  • evidence of distancing ourselves from negatives closer to positive events esp. in ^ trait optimism
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9
Q

SHAROT ET AL (2007): POSSIBLE MECHANISM UNDERLYING OPTIMISM BIAS

A
  • reduced blood oxygen level dependent (BOLD) signal observed in amygdala/rACC during future negative imagining related to future positives
  • = optimism bias related to reduction in negative future thought
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10
Q

SHAROT ET AL (2007): SPECULATIONS

A
  • rACC activity thinking about futures = suggestive of self-regulatory focus underpinning attention/vigilance bias towards positives over negatives
  • possible link w/mechanisms underlying depression; do depressed individuals imagine future dif? is this reflected in brain acitivity?
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10
Q

SHAROT ET AL (2007): SPECULATIONS

A
  • rACC activity thinking about futures = suggestive of self-regulatory focus underpinning attention/vigilance bias towards positives over negatives
  • possible link w/mechanisms underlying depression; do depressed individuals imagine future dif? is this reflected in brain acitivity?
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11
Q

SHAROT ET AL (2011)

A
  • UO = not always adaptive
  • persists even when reality provides info challenging beliefs
  • influential learning theories suggest we should adjust in response to this BUT…
  • data suggests we don’t always do so
  • experts show OB; financial analysts expect improbably high profits/family law attorneys underestimate negative divorce consequences
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12
Q

SHAROT ET AL (2011): METHOD

A
  • combined learning procedure w/fMRI
  • fMRI data obtained while pps estimated experiencing adverse life events likelihood (ie. cancer diagnosis, robbery etc.)
  • told average individual experiencing event prob after each trial
  • allowed researchers to see how much pps adjusted beliefs w/new info
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13
Q

SHAROT ET AL (2011): RESULTS

A
  • selective updating = pps learned greater extent from info offering optimistic expectation chance > info challenging rosy outlook
  • ^ likely to update beliefs when average prob of experiencing negative event = lower than own prob
  • 79% pps
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14
Q

SHAROT ET AL (2011): RESULTS CRITIQUE

A
  • BUT…
  • down to weighing desirable info > in memory?
    NO: memory = for positive/negative items
  • down to emotional arousal difs?
    NO
  • down to underlying event base rate difs?
    NO
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15
Q

SHAROT ET AL (2011): CONCLUSIONS

A
  • beh findings suggest likely computational principle mediating UO
  • point to estimation errors; providing learning signal whose impact depends on new info needs optimistic/pessimistic direction update
16
Q

SHAROT ET AL (2011): BRAIN ACITIVITY RESULTS

A
  • looked at brain activity when desirable (prob < likely than thought) VS undesirable (prob > likely than thought)
  • updates provided
  • brain activity ^ when prob = ^ desirable than estimates
  • more for those scoring ^ on LOT-R
17
Q

SHAROT ET AL (2011): OVERALL CONCLUSIONS

A
  • findings offer mechanistic account of how unrealistic optimism persists despite challenging info
  • optimism = related to diminished coding of undesirable info about future in frontal cortex (sensitive to negative estimation errors)
  • pps w/^ trait optimism scores = worse at tracking undesirable errors in region than lower scores
18
Q

FURTHER UNREALISTIC OPTIMISM CRITIQUE

A

SHAH ET AL (2017)
- suggested Sharot et al (2007; 2011) findings = statistical artefact
- tests used do not adequately allow knowing if OB is occurring
- own research used task analyses/simulations
- experimental studies showed no OB evidence

19
Q

SHAH ET AL (2017): SHAROT’S RESPONSE

A
  • looked at experiments/simulations in Shah (2017)
  • reanalysed own data using new stats methods
  • found confounds in Shah’s studies
  • took issue w/some Shah procedures
  • after correcting for confound, STILL FOUND OB EVIDENCE IN DATA
20
Q

DOES SELECTIVE UPDATING VANISH DURING THREAT?

A

GARRETT ET AL (2018)
- in safe surrounding w/low potential harm, asymmetry in info integration may lead to biased expectations
- BUT in environments rife w/threat, psychological/psychology response may trigger changes to how info is integrated -> more balanced info integration
- adaptive in environments w/potentially high threat risks

21
Q

GARRETT ET AL (2018): LAB STUDY

A
  • threat manipulated/assessed via self-reported trait anxiety/skin conductance/cortisol levels
  • belief updating task similar to previous studies
  • low threat environment = individuals integrated info asymmetrically; incorporated good news/disregarded bad news
  • perceived threat = pps showed ^ capacity to integrate bad news into prior beliefs
  • increased physiological arousal/self-reported anxiety correlated w/enhanced integration of unfavourable info into beliefs
22
Q

GARRET ET AL (2018): FIELD STUDY

A
  • fire department setting
  • firefighters on duty reporting ^ stage anxiety = greater selective integration of bad news
  • ruled out other explanations in both studies (ie. general learning improvement/attentional difs)
23
Q

GARRETT ET AL (2018): CONCLUSIONS

A
  • shows selective updating may be adaptive
  • evidence = asymmetric info integration not set but changes acutely w/environment ie. decreasing w/perceived threat
  • flexibility could be adaptive -> potentially enhancing likelihood to warning responses w/caution in environments w/^ future costs BUT…
  • enables maintenance of positive beliefs otherwise
  • strategy which increases well-being on balance
24
Q

! SUMMARY !

A
  • recent brain research suggests dif activity patterns to imagined positive/negative life events AND bias in updating beliefs allowing bias to persist
  • some research hasn’t found OB BUT still fairly reliable finding as a general rule