Supplementary information Results conditioning subjective ratings

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Supplementary information
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Results conditioning subjective ratings study 1
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Analyses of variance of the arousal ratings revealed significant main effects of CS-type
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(F1,58 = 101.56, p < .001) and conditioning phase (F2.62, 152.06 = 18.6, p < .001) as well as a significant
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phase x CS-type interaction (F2.38, 138.00 = 31.14, p < .001). Follow-up paired t-tests displayed arousal
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differentiation after acquisition 1 (t = 10.49, p < .001), acquisition 2 (t = 13.68, p < .001) as well as
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after extinction (t = 4.32, p < .001). Analyses of variance of the valence ratings revealed significant
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main effects of CS-type (F1,58 = 192.78, p < .001) and conditioning phase (F2.41, 139.62 = 13.14, p < .001)
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as well as a significant phase x CS-type interaction (F2.51, 145.84 = 61.50, p < .001). Follow-up paired t-
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tests displayed valence differentiation after habituation (t = -2.26, p = .03), acquisition 1 (t = 14.86,
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p < .001), acquisition 2 (t = 13.74, p < .001) as well as after extinction (t = 5.23, p < .001). Analyses of
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variance of the contingency ratings revealed significant main effects of CS-type (F1,58 = 236.18,
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p < .001) and conditioning phase (F3, 174 = 53.21, p < .001) as well as a significant phase x CS-type
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interaction (F2.47, 143.29 = 86.40, p < .001). Follow-up paired t-tests displayed contingency awareness
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after habituation (t = -2.06, p = .04), acquisition 1 (t = 14.30, p < .001), acquisition 2 (t = 22.33,
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p < .001) as well as after extinction (t = 3.57, p = .001). Interactions with between-subjects factor CS-
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duration were not significant for phase or CS-type nor was the three-way interaction phase x CS-type
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x CS-duration for any type of rating, indicating no influence of the differing CS-durations.
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Results morphological correlations without exclusion of subjects without acquisition SCR
(n = 10) study 1
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Table 1:
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Correlations between cortical thickness and the differential SCR of the first extinction block without
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exclusion of subjects that show no SCR during acquisition
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cluster
anatomical label
Brodman area
MNI*
# vertices Tpeak pclus
coordinates
[2, 18, -7]
376
4.29 < .001
1
right subgenual area
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2
left pars orbitalis
47
-
-
-
n.s.
3
right orbitofrontal
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[9, 8, -18]
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4.77
.016
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Results morphological correlations alternative extinction measures study 1
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To ensure that the significant correlations are not restricted to the specific extinction measure we chose
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(subdivision into three blocks), we repeated the analyses (GLM with age, gender and differential SCR
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during acquisition as nuisance factors) with alternative measures of extinction learning.
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Extinction learning index 2 covered the summed differential SCRs (CS+unpaired minus CS-) from the
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first two to up to nine trials of extinction learning separately (See Table 2). Results show the stability
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of the association of the right subgenual cluster with extinction learning over a varying number of
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trials.
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Table 2:
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Correlations between cortical thickness and the differential SCR of varying amount of extinction trials
# extinction
Cluster #1 right subgenual area
Cluster #2 left pars orbitalis
trials
(BA25)
(BA47)
1-2
[2, 23 -10]
272 vertices
Tpeak = 4.15, pclus = 0.0082
1-3
1-4
1-5
[3, 18, -8]
124 vertices
[-31, 14, -17]
12 vertices
Tpeak = 3.76, pclus = 0.0179
Tpeak = 5.93,
pclus = 0.0054
[3, 18, -9]
[-31, 14, -17]
11 vertices
65 vertices
Tpeak = 3.73, pclus = 0.032247
Tpeak = 5.78, pclus = 0.0092
[3, 18, -9]
[-31, 14, -17]
245 vertices
Tpeak = 3.9, pclus = 0.0014
1-7
[3, 17, -8]
8 vertices
Tpeak = 5.08, pclus = 0.055 (ns)
144 vertices
Tpeak = 4.51, pclus = 0.0000381
1-8
[3, 18, -8]
13 vertices
Tpeak = 4.83, pclus = 0.00444
1-9
[3, 18, -8]
16 vertices
Tpeak = 4.88, pclus = 0.0017
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Extinction learning index 3 was computed as the difference between early and late extinction SCRs
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(i.e., the mean differential SCR of the first 9 extinction trials minus the mean differential SCR of the
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last 9 extinction trials). Note that in line with the earlier extinction measures higher values for this
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measure represent a smaller amount of fear extinction, as a trial by trial inspection of SCR data (See
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Figure 1) shows that complete extinction is achieved in the first half of the extinction phase (and
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amount of acquired fear is already controlled for in the GLM). The GLM revealed a significant
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negative correlation with a small cluster of 8 vertices (T = 4.53, p = .045) in the right vmPFC (4, 8, -8)
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overlapping with cluster #1 that emerged with extinction learning index 1.
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Extinction learning index 4 was computed as the difference between peak acquisition and late
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extinction (i.e., the highest SCR to a CS+ unpaired during any acquisition trial minus the mean CS+ unpaired
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SCR during the last 9 extinction trials). The GLM (only correcting for age and gender) with this
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measure revealed no significant correlation with cortical thickness at any given vertex. Adding a mask
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encompassing the prefrontal regions of interest to lower significance thresholds did not reveal any
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association either. This might be due to the fact that index 4 does not take into account the pronounced
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interindividual variance during early extinction. As differentiation of SCRs during late extinction is
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minimal, this measure might primarily reflect interindividual differences in fear acquisition.
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0.18
CS+
0.16
CS-
0.14
SCR
0.12
0.10
0.08
0.06
0.04
0.02
0.00
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2
3
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5
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9 10 11 12 13 14 15 16 17 18
extinction trial
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Figure 1. Single trial SCRs of the extinction phase study 1
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Correlation between function and structure study 1
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To identify a potential association between structural properties and functional activation of a region
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we extracted the functional eigenvalues for the differential contrast CS+ > CS- during extinction for
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the three prefrontal clusters that emerged from the structural analyses (see Figure 4 main article).
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Bivariate correlation analyses revealed no association between cortical thickness and strength of
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activation in these clusters (see Figure 1).
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Figure 1. Scatterplot of mean cortical thickness and functional eigenvalues for the contrast CS+>CS-
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during extinction for the three prefrontal clusters (r = -0.11, p = .41; r = 0.15, p = .26; r = -0.45,
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p = .74 resp.).
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Table 3:
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Non-significant correlations of trait anxiety with fear acquisition, extinction learning and amygdalar
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volume in both samples
Early
Late
Extinction
Right
Left
acquisition a
acquisition a
learning b
amygdala c
amygdala c
Original sample
r=-.14
r = .04
r = .04
r = -.25
r = -.26
STAI
p = .35
p = .80
p = .74
p = .09
p = .08
Replication sample
r = -.02
r = .13
r = .06
r = -.01
r = .14
STAI
p = .88
p = .41
p = .66
p = .95
p = .40
M (SD)
32.9 (6.1)
M (SD)
36.9 (8.9)
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a
corrected for differential SCR during habituation
corrected for differential SCR during acquisition
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corrected for age, gender and intracranial volume.
b
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Replication study
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Methods
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Sixty-five subjects, likewise being paramedics in training from the same longitudinal study underwent
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the identical conditioning paradigm while the same subjective ratings and skin conductance responses
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were recorded and preprocessed in the same manner. Structural magnetic resonance imaging data were
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acquired on a 1.5 T MAGNETOM Vision whole body scanner (Siemens Medical Solutions, Erlangen,
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Germany) equipped with a head volume coil using a T1-weighted three-dimensional fast low angle
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shot (FLASH) sequence (TR 15 ms, TE 5 ms, field of view 220 x 220 mm2, 170 sagittal slices, voxel
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size, 0.86 x 0.86 x 0.86 mm3)). A non-local means filter (Coupe et al. 2006) was applied in order to
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minimize noise. Exclusion of subjects without skin conductance reactions (n = 12) resulted in a total
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of 53 healthy subjects (18 female, mean age = 21.83, SD = 2.98) in the replication study. As in
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study 1, we excluded participants with no SCR during either acquisition phase (n = 11) from
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extinction analyses.
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Results
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Identical to study 1 successful conditioning was observed in skin conductance and subjective ratings
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(data not shown). In line with the results of the main study, partial correlation analyses of the
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differential SCR during late acquisition and amygdala volume correcting for intracranial volume, age,
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gender and years of education yielded a significant positive correlation of fear acquisition with right
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amygdala volume (r = .36, p = .04) (See Figure 2). Linear regression analysis on the relative
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contribution of the SCRs to the CS+unpaired and the CS- during late acquisition again revealed a
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significant result (R2 = .102, F = 2.94, p = .04). Again the model gained its significance by including
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both CS+unpaired and CS-; the single individual predictors were not significant (CS+ unpaired: b = 0.27,
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t49 = 1.32, p = .132; CS-: b = -0.08, t49 = .392, p = .70).
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Only one additional subcortical structure correlated with the differential SCR of any acquisition phase
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(right caudate nucleus correlated negatively with acquisition 1 (r = -.29, p = .03).
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Figure 2. Scatterplot depicting the correlation of differential late fear acquisition with right amygdala
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volume (r = .30, p = .04) (n = 53)
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We used a similar vertex-wise general linear model controlling for age, gender and level of acquired
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fear with an additional mask encompassing the prefrontal region of interest from study number one,
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build up by the following regions: medial orbital frontal, rostral anterior cingulate and frontal pole
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(Desikan et al. 2006). Again we found a significant negative correlation of the differential SCR during
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the first extinction learning block with the thickness of a cluster within the medial prefrontal cortex of
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the right hemisphere containing 87 vertices located in the medial frontal gyrus (Brodman area 11)
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(peak: x = 5, y = 42, z = -16), T = 3.80, pclus = 0.02 (See Figure 3). Neither differential SCR of block 2
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or 3, nor differential SCR of the whole extinction phase exhibited any morphological correlate on the
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cortex. Without exclusion of subjects showing no SCRs during acquisition these parameters changed
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slightly (peak: x = 5, y = 42, z = -16, T = 3.94, pclus = 0.015, 124 vertices). Independent consideration
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of the extinction SCR to the CS+ and CS- of the first extinction block revealed no significant
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association between cortical thickness at any vertex and SCR to the CS+ or the CS-.
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A)
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Figure 3. Cortical thickness cluster correlating with extinction learning index; controlled for
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age, gender and level of acquired fear (n = 42). A) Significant cluster on the cortical surface (FWE-
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corrected for vmPFC mask) B) Correlation plot of extinction learning index and mean cortical
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thickness of this cluster (r = -.49, p < .001)
B)
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Coupe P, Yger P, Barillot C (2006) Fast non local means denoising for 3D MR images Med
Image Comput Comput Assist Interv 9:33-40
Desikan RS et al. (2006) An automated labeling system for subdividing the human cerebral
cortex on MRI scans into gyral based regions of interest Neuroimage 31:968-980
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