MARCH 20 Flashcards

1
Q

recap of an affective module

A

an affective module should be dedicated to a SINGLE AFFECTIVE FUNCTION and this must be STABLE across a wide range of conditions

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2
Q

recap of an affective mode

A

operation of an affective mode can be inferred if an AFFECTIVE MODULE SWITCHES its AFFECTIVE FUNCTIONS under particular conditions

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3
Q

paper: “brain representations of affective _______ and ________ in sustained ________ and _______”

A

brain representations of affective VALENCE and INTENSITY in sustained PLEASURE and PAIN

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4
Q

pleasure and pain have opposite what?

A

valence

(pleasure is positive, pain is negative)

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5
Q

pleasure and pain interact in what?

A

in our SUBJECTIVE INTERPRETATION of our CURRENT HEDONIC STATE

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6
Q

examples of how pleasure and pain interact

A
  1. giving flowers to a sick friend
  2. a massage
  3. getting a lollipop after a shot
  4. experiencing pain can dull ability to experience pleasure
  5. relieving pain can itself be a pleasurable experience
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7
Q

what do we know about how pleasure and pain interact in the brain?

A

painful and pleasant sensations are PROCESSED in DISTINCT SPINAL and PERIPHERAL CIRCUITS

(but less is known about how these signals are integrated centrally in the brain in affective experience)

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8
Q

T/F: large overlap in brain regions that process pleasure & pain

A

true

many brain regions are involved in processing both pleasure and pain

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9
Q

gap this paper tries to fill

A

most of the evidence on pleasure and pain comes from studies that have looked at EITHER pain or pleasure,

but NOT BOTH in the SAME INDIVIDUAL

how do brain regions that are activated both by both pain and pleasure encode these experiences?

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10
Q

pain pleasure continuum possibility

A

it’s possible that brain regions could represent affective valence ranging from positive to negative on a continuum with PAIN and PLEASURE at OPPOSITE ENDS

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11
Q

populations of neurons that respond to BOTH positive and negative valence in the same way may be representing WHAT?

A

may be representing AROUSAL or SALIENCE

this can be thought of as AFFECTIVE INTENSITY

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12
Q

what did the study examine?

A

how the brain represents VALENCE and INTENSITY across PLEASURE and PAIN

used fMRI in human participants

imaged while tasting PLEASANT or PAINFUL substances

to determine which brain regions represent pleasure and pain

used brain scans to identify brain regions that encode which stimuli were presented, as well as to predict the Ps subjective ratings of intensity of pain and pleasure

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13
Q

specific research questions

A
  1. which BRAIN REGIONS contain info about pleasure and pain?
  2. can we identify PREDICTIVE MODELS of AFFECTIVE VALENCE and INTENSITY within the overlapping brain regions?
  3. which LARGE-SCALE BRAIN NETWORKS are CORRELATED With these predicate models?
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14
Q

their axiomatic approach

A

AXIOM 1:

^ brain regions encoding information for sustained pain or pleasure must SIGNIFICANTLY PREDICT RATINGS of subjective pain or pleasure

AXIOM 2:

^ of the brain regions identified in axiom 1, those encoding AFFECTIVE INTENSITY should predict both pain and pleasure ratings, IRRESPECTIVE of the POLARITY of the rating

AXIOM 3:

^ of the brain regions identified in axiom 1, those encoding AFFECTIVE VALENCE should predict the DIRECTIONAL SIGN of both PAIN and PLEASURE ratings

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15
Q

study design

A

fMRI with 58 Ps in study 1, 62 Ps in study 2

Ps CONTINUOUSLY RATE subjective pleasantness/unpleasantness while experiencing SUSTAINED PLEASURE and PAIN

pleasure and pain = induced by delivering CHOCOLATE or CAPSAICIN liquid to the mouth

study 1: data used to make the predictive models

study 2: data used to test the predictive models

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16
Q

continuous pleasantness/unpleasantness rating

A

from “strongest imaginable unpleasantness of any kind” to “strongest imaginable pleasantness of any kind”

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17
Q

difference in timing between chocolate and capsaicin delivery

A

capsaicin delivery was shorter than chocolate delivery

but the subjective experience of unpleasantness was still MORE INTENSE and MORE SUSTAINED than the subjective experience of the chocolate

18
Q

what brain regions did they look at?

A

limited it to 48 brain regions of interest (ROIs)

based on prior literature to increase statistical power

(to minimize ‘false positives’, they’re only looking at brain regions where they expect to see a signal)

19
Q

how did they identify brain regions that encode info about pleasure and pain?

A

by using fMRI data to train pattern-based models to predict the PLEASANTNESS-UNPLEASANTNESS RATINGS SEPARATELY for pain and pleasure conditions

20
Q

brain regions - do some predict only pain? others only pleasure? what about both?

A
  1. some regions significantly predict ONLY PAIN ratings
  2. some regions predict ONLY PLEASURE ratings
  3. some regions predict BOTH
21
Q

they developed predictive models of INTENSITY and VALENCE based on what hypothesis?

A

hypothesis that INTENSITY and VALENCE are 2 fundamental affective dimensions SHARED ACROSS PAIN AND PLEASURE

22
Q

details of their model

A

MULTIPLE-REGION BASED MODEL

^ leads to better prediction than models based on single regions

23
Q

how did they train the model?

A

used COMBINED DATA from CAPSAICIN, CHOCOLATE and CONTROL Conditions

and fMRI data from the 7 OVERLAPPING brain regions

24
Q

was their model able to predict affective valence and intensity in the data?

A

yes

correlations between model predictions and actual behavioural data were ALL SIGNIFICANT

for both VALENCE and AROUSAL

25
T/F: for both the intensity and valence models, predictions conformed reasonably well with the training data set
true
26
findings: green versus red versus blue regions
green: INTENSITY red: VALENCE blue: BOTH find almost no blue - even though these areas are implicated in BOTH intensity and valence, there are specific SUB-REGIONS involved in encoding valence and intensity separately
27
what does the fact that they found almost no blue mean?
even though these areas are implicated in BOTH intensity and valence, there are specific SUB-REGIONS involved in encoding valence and intensity separately
28
can we identify predictive models of affective valence and intensity within these overlapping brain regions?
YES - we can can predict both intensity and valence from activity of these 7 regions that rep both pleasure & pain
29
among the 7 brain regions, affective intensity and valence seem to be repped how?
by distinction sub-populations of voxels INSULA preferentially predicts INTENSITY VENTROMEDIAL PFC preferentially predicts VALENCE
30
insula preferentially predicts what?
intensity
31
ventromedial PCF preferentially predicts what?
valence
32
which large-scale brain networks are correlated with the predictive maps of intensity and valence? PROCESS
how do patterns of brain activity that encode valence and intensity integrate into FUNCTIONAL CONNECTIVITY NETWORKS? calculate the CORRELATION between pattern expression values for intensity and valence, and WHOLE BRAIN fMRI DATA generate whole-brain connectivity maps for each participant, with 7 overlapping pleasure & pain ROIs as seeds determine where functional connectivity is sig greater than zero
33
functional connectivity networks - intensity model significantly correlates with what?
insula anterior midcingulate cortex these regions are part of the VENTRAL ATTENTION (SALIENCE) NETWORK
34
functional connectivity networks - valence model significantly correlates with what?
ventromedial PFC posterior cingulate cortex these are part of the DEFAULT MODE NETWORK
35
ventral attention (salience) network correlated with what?
intensity model
36
default mode network correlated with what?
valence model
37
conclusions
1. fMRI analyses identified subset of brain regions activated by both pleasure and pain (7 regions) 2. predictive models using brain activity from these regions significantly predict valence and intensity 3. spatial patterns of brain network activity associated with valence and intensity are distinct
38
intensity is primarily associated with what network? what about valence?
ventral attention (salience) network default mode network
39
while valence and intensity are encoded in brain regions that process both pain and pleasure, the evidence suggests that...
the SPECIFIC SUB REGIONS as well as broader FUNCTIONAL CONNECTIVITY networks are distinct this suggests that intensity and valence are processed in DISTINCT BRAIN CIRCUITS so it should be possible to DISSOCIATE these processes
40
limitations
1. the predictive models didn't take into account functional connectivity and used only brain activation patterns 2. affective experience may induced global and enduring changes, suggesting there may be additional info carried in functional connectivity patterns 3. pain and pleasure experiences were unbalanced - pain was overall more intense 4. using diff stimuli (diff modalities?) will be important to test generalizability of these results