Preclinical Learning Analyses

Effect of NE, excluding S’s with mild or higher symptom scores

GAD OR PHQ below 5

Exclusion Criteria: GAD-7 or PHQ-9 scores less than or equal to 5
Sample Size: 261

Grade Expectations

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	80.0928630	1.8865659	195.4925	42.454314	0.0000000
neurot	-0.2677525	0.1311357	225.7707	-2.041797	0.0423343

Grade PEs

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	-4.1598130	1.3792192	107.9124	-3.016064	0.0031936
neurot	0.2984445	0.0920018	124.8115	3.243899	0.0015131

Accuracy

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	8.6938036	1.4174362	423.33257	6.1334709	0.0000000
neurot	0.1161527	0.0656958	99.92274	1.7680393	0.0801065
exam	-0.5165625	0.3015311	456.05776	-1.7131315	0.0873680
unsigned_lag_pe_1	0.0378772	0.0413249	547.18355	0.9165702	0.3597717

Expectation Updating ~ NE x PE

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	3.2760160	1.2992051	160.3808	2.521554	0.0126594
pe_1	0.5744122	0.1032002	457.0216	5.565999	0.0000000
neurot	-0.2466839	0.0902759	100.6560	-2.732555	0.0074240
delta_grade	0.6423962	0.0303238	503.4510	21.184548	0.0000000
pe_1:neurot	0.0105676	0.0066255	372.3446	1.594993	0.1115623

Overlearning from small PEs

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	9.1730780	2.0000572	468.0433	4.5864078	0.0000058
PE1_sizeSmall	-1.5908101	2.6410696	485.5615	-0.6023356	0.5472320
neurot	0.1430653	0.1364876	242.2718	1.0481926	0.2955944
PE1_sign+	-0.4450433	2.7208694	490.7102	-0.1635666	0.8701397
exam	-0.4171330	0.3087201	492.9863	-1.3511688	0.1772611
PE1_sizeSmall:neurot	0.0880173	0.1862429	321.1620	0.4725942	0.6368237
PE1_sizeSmall:PE1_sign+	0.4762220	3.7268254	470.5043	0.1277822	0.8983759
neurot:PE1_sign+	-0.0662914	0.1859224	310.8061	-0.3565539	0.7216677
PE1_sizeSmall:neurot:PE1_sign+	-0.0816802	0.2538810	293.5043	-0.3217264	0.7478890

Effects of Bracing

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	2.7473043	1.3825614	284.9788	1.9871120	0.0478672
pe_2_lim50	0.5291994	0.1106769	492.8951	4.7814817	0.0000023
pred_adj	-0.5764284	0.2127238	467.5297	-2.7097502	0.0069808
neurot	-0.1804370	0.0962017	122.6239	-1.8756109	0.0630867
delta_grade	0.6222607	0.0302590	488.6590	20.5644828	0.0000000
pe_2_lim50:pred_adj	-0.0220191	0.0136422	435.3160	-1.6140466	0.1072419
pe_2_lim50:neurot	0.0082762	0.0072077	367.0668	1.1482448	0.2516153
pred_adj:neurot	0.0352380	0.0141173	496.4084	2.4960931	0.0128803
pe_2_lim50:pred_adj:neurot	0.0007318	0.0009410	495.4034	0.7776606	0.4371403

GAD AND PHQ below 5

Exclusion Criteria: GAD-7 and PHQ-9 scores less than or equal to 5
Sample Size: 181

Grade Expectations

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	78.8547256	2.1263421	171.9924	37.0846839	0.0000000
neurot	-0.1396473	0.1570869	129.6698	-0.8889813	0.3756593

Grade PEs

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	-4.5177151	1.7245957	99.62055	-2.619579	0.0101799
neurot	0.3199171	0.1280917	98.83442	2.497563	0.0141565

Accuracy

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	9.4995058	1.7839969	205.2612	5.3248443	0.0000003
neurot	0.1038974	0.0907254	44.7637	1.1451850	0.2582185
exam	-0.6613850	0.3704428	301.7992	-1.7853905	0.0752021
unsigned_lag_pe_1	0.0445142	0.0507050	379.8015	0.8779043	0.3805506

Expectation Updating ~ NE x PE

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	3.9858407	1.5358457	47.36904	2.5952091	0.0125465
pe_1	0.5828895	0.1188320	246.00666	4.9051557	0.0000017
neurot	-0.3145759	0.1135089	46.12411	-2.7713780	0.0080217
delta_grade	0.5692776	0.0366037	364.35242	15.5524701	0.0000000
pe_1:neurot	0.0034210	0.0080918	175.24088	0.4227772	0.6729762

Overlearning from small PEs

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	10.2979639	2.3523596	255.38885	4.3777166	0.0000175
PE1_sizeSmall	-3.4036443	3.1747000	285.34639	-1.0721152	0.2845742
neurot	0.0537262	0.1696477	95.22095	0.3166927	0.7521700
PE1_sign+	-0.7913360	3.2702475	305.87642	-0.2419805	0.8089575
exam	-0.5243367	0.3814701	335.33283	-1.3745158	0.1701995
PE1_sizeSmall:neurot	0.3005845	0.2420371	157.80975	1.2418943	0.2161181
PE1_sizeSmall:PE1_sign+	2.6992081	4.6404844	252.34285	0.5816652	0.5613115
neurot:PE1_sign+	0.0110554	0.2405742	173.57018	0.0459541	0.9633997
PE1_sizeSmall:neurot:PE1_sign+	-0.3430468	0.3452529	131.23988	-0.9936102	0.3222411

Effects of Bracing

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	2.7473043	1.3825614	284.9788	1.9871120	0.0478672
pe_2_lim50	0.5291994	0.1106769	492.8951	4.7814817	0.0000023
pred_adj	-0.5764284	0.2127238	467.5297	-2.7097502	0.0069808
neurot	-0.1804370	0.0962017	122.6239	-1.8756109	0.0630867
delta_grade	0.6222607	0.0302590	488.6590	20.5644828	0.0000000
pe_2_lim50:pred_adj	-0.0220191	0.0136422	435.3160	-1.6140466	0.1072419
pe_2_lim50:neurot	0.0082762	0.0072077	367.0668	1.1482448	0.2516153
pred_adj:neurot	0.0352380	0.0141173	496.4084	2.4960931	0.0128803
pe_2_lim50:pred_adj:neurot	0.0007318	0.0009410	495.4034	0.7776606	0.4371403

Effect of NE, excluding S’s with moderate or higher symptom scores

GAD OR PHQ below 10

Exclusion Criteria: GAD-7 or PHQ-9 scores less than or equal to 10
Sample Size: 386

Grade Expectations

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	79.3050586	1.6590307	167.6872	47.802045	0.0000000
neurot	-0.2435345	0.1067377	161.5446	-2.281616	0.0238177

Grade PEs

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	-4.0205429	1.238392	232.4867	-3.246583	0.0013402
neurot	0.2421522	0.079023	259.8999	3.064326	0.0024112

Accuracy

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	10.0664543	1.1654414	543.1368	8.6374609	0.0000000
neurot	0.0641316	0.0503210	145.1197	1.2744504	0.2045408
exam	-0.6452540	0.2448557	646.6302	-2.6352417	0.0086093
unsigned_lag_pe_1	0.0245671	0.0325470	796.6067	0.7548205	0.4505798

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: unsigned_pe_1 ~ neurot + exam + unsigned_lag_pe_1 + (1 + neurot |  
##     id)
##    Data: test.df.10lim.or
## 
## REML criterion at convergence: 5486.6
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.6385 -0.7268 -0.1952  0.5045  4.9763 
## 
## Random effects:
##  Groups   Name        Variance  Std.Dev. Corr 
##  id       (Intercept) 4.855e+00 2.20349       
##           neurot      1.954e-05 0.00442  -1.00
##  Residual             4.828e+01 6.94852       
## Number of obs: 806, groups:  id, 336
## 
## Fixed effects:
##                    Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)        10.06645    1.16544 543.13679   8.637  < 2e-16 ***
## neurot              0.06413    0.05032 145.11973   1.274  0.20454    
## exam               -0.64525    0.24486 646.63021  -2.635  0.00861 ** 
## unsigned_lag_pe_1   0.02457    0.03255 796.60671   0.755  0.45058    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) neurot exam  
## neurot      -0.631              
## exam        -0.668 -0.020       
## unsgnd_l__1 -0.335 -0.047  0.119
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see ?isSingular

Expectation Updating ~ NE x PE

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	2.8676928	1.1135375	181.3061	2.5752997	0.0108126
pe_1	0.6615019	0.0856610	771.3767	7.7223191	0.0000000
neurot	-0.1811732	0.0715827	137.2540	-2.5309625	0.0125030
delta_grade	0.6812215	0.0240891	571.1095	28.2792141	0.0000000
pe_1:neurot	0.0047023	0.0050873	706.1517	0.9243284	0.3556311

Overlearning from small PEs

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	11.2481970	1.6393802	723.7016	6.8612497	0.0000000
PE1_sizeSmall	-3.1142579	2.2012123	746.4719	-1.4147922	0.1575464
neurot	0.0021097	0.1011483	580.2987	0.0208578	0.9833663
PE1_sign+	-1.2230615	2.2410680	771.6700	-0.5457494	0.5853959
exam	-0.5271942	0.2503208	673.7188	-2.1060743	0.0355673
PE1_sizeSmall:neurot	0.2106011	0.1417251	735.2139	1.4859834	0.1377122
PE1_sizeSmall:PE1_sign+	1.2404764	3.0686306	772.8853	0.4042443	0.6861449
neurot:PE1_sign+	0.0324425	0.1391824	633.2473	0.2330936	0.8157640
PE1_sizeSmall:neurot:PE1_sign+	-0.1915280	0.1917571	624.0972	-0.9988049	0.3182763

Effects of Bracing

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	2.3305412	1.1589425	362.0367	2.0109205	0.0450748
pe_2_lim50	0.6604713	0.0931412	788.1168	7.0910781	0.0000000
pred_adj	-0.5014695	0.1693404	694.5511	-2.9613107	0.0031678
neurot	-0.1127504	0.0729933	173.6476	-1.5446686	0.1242469
delta_grade	0.6568934	0.0240331	658.3854	27.3328164	0.0000000
pe_2_lim50:pred_adj	-0.0204593	0.0120482	706.0595	-1.6981170	0.0899263
pe_2_lim50:neurot	-0.0013754	0.0055553	625.4280	-0.2475846	0.8045371
pred_adj:neurot	0.0269964	0.0101370	747.6044	2.6631457	0.0079080
pe_2_lim50:pred_adj:neurot	0.0009504	0.0007516	764.5894	1.2644769	0.2064442

GAD AND PHQ below 10

Exclusion Criteria: GAD-7 and PHQ-9 scores less than or equal to 10
Sample Size: 312

Grade Expectations

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	80.2829975	1.8445330	127.7740	43.524837	0.0000000
neurot	-0.2968091	0.1288828	130.3102	-2.302939	0.0228667

Grade PEs

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	-3.8527538	1.3679826	126.6122	-2.816376	0.0056357
neurot	0.2497595	0.0920962	158.6007	2.711942	0.0074271

Accuracy

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	9.1723783	1.2960648	314.87766	7.077098	0.0000000
neurot	0.1040028	0.0603728	78.53718	1.722676	0.0888829
exam	-0.6572918	0.2729281	534.08892	-2.408296	0.0163649
unsigned_lag_pe_1	0.0466101	0.0371918	642.76389	1.253236	0.2105756

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: unsigned_pe_1 ~ neurot + exam + unsigned_lag_pe_1 + (1 + neurot |  
##     id)
##    Data: test.df.10lim
## 
## REML criterion at convergence: 4414.6
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.8633 -0.6987 -0.2037  0.5079  4.8514 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  id       (Intercept)  5.18127 2.2762        
##           neurot       0.03699 0.1923   -0.79
##  Residual             48.68030 6.9771        
## Number of obs: 649, groups:  id, 276
## 
## Fixed effects:
##                    Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)         9.17238    1.29606 314.87766   7.077 9.61e-12 ***
## neurot              0.10400    0.06037  78.53718   1.723   0.0889 .  
## exam               -0.65729    0.27293 534.08892  -2.408   0.0164 *  
## unsigned_lag_pe_1   0.04661    0.03719 642.76389   1.253   0.2106    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) neurot exam  
## neurot      -0.639              
## exam        -0.684  0.011       
## unsgnd_l__1 -0.323 -0.039  0.098
## optimizer (nloptwrap) convergence code: 0 (OK)
## Model failed to converge with max|grad| = 0.00423989 (tol = 0.002, component 1)

Expectation Updating ~ NE x PE

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	2.5426893	1.2219664	142.6009	2.0808177	0.0392393
pe_1	0.6415766	0.0956455	502.2990	6.7078593	0.0000000
neurot	-0.1793714	0.0843970	100.3960	-2.1253281	0.0360131
delta_grade	0.6657123	0.0273753	583.6563	24.3179512	0.0000000
pe_1:neurot	0.0047546	0.0060907	399.1305	0.7806316	0.4354819

Overlearning from small PEs

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	10.0614159	1.8350342	416.6242	5.4829584	0.0000001
PE1_sizeSmall	-2.2725104	2.4355557	469.8441	-0.9330562	0.3512702
neurot	0.0803281	0.1237520	251.0861	0.6491053	0.5168636
PE1_sign+	-0.4953006	2.4946707	510.4955	-0.1985435	0.8426989
exam	-0.5795970	0.2783568	580.4891	-2.0822091	0.0377607
PE1_sizeSmall:neurot	0.1552918	0.1697315	353.8379	0.9149264	0.3608534
PE1_sizeSmall:PE1_sign+	0.8599024	3.4166462	505.7437	0.2516803	0.8013904
neurot:PE1_sign+	-0.0230538	0.1677401	334.7917	-0.1374374	0.8907677
PE1_sizeSmall:neurot:PE1_sign+	-0.1433854	0.2307618	348.5355	-0.6213568	0.5347710

Effects of Bracing

	Estimate	Std. Error	df	t value	Pr(>\|t\|)
(Intercept)	2.1289629	1.2901997	248.2339	1.6501034	0.1001865
pe_2_lim50	0.6138865	0.1036466	544.5726	5.9228823	0.0000000
pred_adj	-0.5337217	0.1922706	533.1183	-2.7758882	0.0056986
neurot	-0.1266947	0.0879002	124.3410	-1.4413473	0.1520003
delta_grade	0.6438971	0.0274897	586.9520	23.4231972	0.0000000
pe_2_lim50:pred_adj	-0.0133312	0.0129073	494.8195	-1.0328412	0.3021827
pe_2_lim50:neurot	0.0007797	0.0066149	362.6881	0.1178680	0.9062375
pred_adj:neurot	0.0284548	0.0123632	571.4453	2.3015828	0.0217175
pe_2_lim50:pred_adj:neurot	-0.0000352	0.0008726	559.9384	-0.0403011	0.9678675

Preclinical Learning Analyses

William Villano

11/30/2021

Effect of NE, excluding S’s with mild or higher symptom scores

GAD OR PHQ below 5

Grade Expectations

Grade PEs

Accuracy

Expectation Updating ~ NE x PE

Overlearning from small PEs

Effects of Bracing

GAD AND PHQ below 5

Grade Expectations

Grade PEs

Accuracy

Expectation Updating ~ NE x PE

Overlearning from small PEs

Effects of Bracing

Effect of NE, excluding S’s with moderate or higher symptom scores

GAD OR PHQ below 10

Grade Expectations

Grade PEs

Accuracy

Expectation Updating ~ NE x PE

Overlearning from small PEs

Effects of Bracing

GAD AND PHQ below 10

Grade Expectations

Grade PEs

Accuracy

Expectation Updating ~ NE x PE

Overlearning from small PEs

Effects of Bracing