Key

RS Measures

fpnetwork - mean network connectivity for fp network defined by Power (2011) rnetwork - mean network connectivity for “limping” reward network partially defined by Power’s coordiates lOFC_lIFG - ROI to ROI connectivtiy between left OFC and IFG

fMRI Measures

l_OFC- Activation for flavored e-cigarette ads over unflavored e-cigarette ads in the left OFC l_IFG- Activation for flavored e-cigarette ads over unflavored e-cigarette ads in the left IFG

DTI Measures

FA_thr50 - FA connectivity values between lIFG and lOFC thresholded at 50% FA_thr75 - FA connectivity values between lIFG and lOFC thresholded at 75%

ET Measures

DTDiff - % Dwell time on Flavored minus Unflavored e-cig ads zDTDiff - z scored % Dwell time on Flavored minus Unflavored e-cig ads

Other Measures

Age_Months - age in months BMI - BMI calucluated from self reported hight and weight

FP Network Mean Cors

Rest and fMRI

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$fpnetwork and indiffrest$l_OFC
## t = 1.7349, df = 35, p-value = 0.09156
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.04689653  0.55482897
## sample estimates:
##       cor 
## 0.2813984

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## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$fpnetwork and indiffrest$l_IFG
## t = 1.3515, df = 35, p-value = 0.1852
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1091903  0.5099297
## sample estimates:
##       cor 
## 0.2227081

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Rest and DTI (outlier corrected)

## 
##  Pearson's product-moment correlation
## 
## data:  outcorrDTI$fpnetwork and outcorrDTI$FA_thr50
## t = -2.3337, df = 34, p-value = 0.02566
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.62394325 -0.04902504
## sample estimates:
##       cor 
## -0.371576

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## 
##  Pearson's product-moment correlation
## 
## data:  outcorrDTI$fpnetwork and outcorrDTI$FA_thr75
## t = -1.9585, df = 34, p-value = 0.05842
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.58567077  0.01132044
## sample estimates:
##        cor 
## -0.3183995

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Rest and ET

NOTE - Currently not outlier corrected

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$fpnetwork and indiffrest$zDTDiff
## t = 2.2047, df = 35, p-value = 0.03414
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.0283994 0.6047923
## sample estimates:
##      cor 
## 0.349205

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## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$fpnetwork and indiffrest$DTDiff
## t = 1.8813, df = 35, p-value = 0.06827
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.02326177  0.57099378
## sample estimates:
##       cor 
## 0.3030413

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Rest and Age

NOTE - Need to set up this correlation differently

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$fpnetwork and indiffrest$Age_Months
## t = 2.271, df = 35, p-value = 0.0294
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.03887403 0.61140105
## sample estimates:
##       cor 
## 0.3583789

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Rest and BMI

## 
##  Pearson's product-moment correlation
## 
## data:  outcorrBMI$fpnetwork and outcorrBMI$BMI
## t = 1.1301, df = 34, p-value = 0.2664
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1474908  0.4882785
## sample estimates:
##       cor 
## 0.1902644

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Bad Reward Network Mean Cors

Rest and fMRI

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rnetwork and indiffrest$l_OFC
## t = -1.1945, df = 35, p-value = 0.2403
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.4904799  0.1347455
## sample estimates:
##        cor 
## -0.1979144

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## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rnetwork and indiffrest$l_IFG
## t = 0.28444, df = 35, p-value = 0.7777
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.2803572  0.3663428
## sample estimates:
##        cor 
## 0.04802435

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Rest and DTI (outlier corrected)

## 
##  Pearson's product-moment correlation
## 
## data:  outcorrDTI$rnetwork and outcorrDTI$FA_thr50
## t = -0.088392, df = 34, p-value = 0.9301
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.3419901  0.3149467
## sample estimates:
##         cor 
## -0.01515741

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## 
##  Pearson's product-moment correlation
## 
## data:  outcorrDTI$rnetwork and outcorrDTI$FA_thr75
## t = -0.4481, df = 34, p-value = 0.6569
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.3952091  0.2584190
## sample estimates:
##         cor 
## -0.07662193

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Rest and ET

NOTE - Currently not outlier corrected

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rnetwork and indiffrest$zDTDiff
## t = -0.75555, df = 35, p-value = 0.455
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.4329310  0.2057831
## sample estimates:
##        cor 
## -0.1266828

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## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rnetwork and indiffrest$DTDiff
## t = -0.78821, df = 35, p-value = 0.4359
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.4373687  0.2005347
## sample estimates:
##        cor 
## -0.1320655

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Rest and Age

NOTE - Need to set up this correlation differently

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rnetwork and indiffrest$Age_Months
## t = 1.1983, df = 35, p-value = 0.2389
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1341321  0.4909542
## sample estimates:
##       cor 
## 0.1985146

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Rest and BMI

## 
##  Pearson's product-moment correlation
## 
## data:  outcorrBMI$rnetwork and outcorrBMI$BMI
## t = 0.17003, df = 34, p-value = 0.866
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.3022835  0.3542899
## sample estimates:
##        cor 
## 0.02914679

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Rest and Rest

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rnetwork and indiffrest$fpnetwork
## t = 0.40728, df = 35, p-value = 0.6863
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.2611509  0.3841499
## sample estimates:
##       cor 
## 0.0686796

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## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rslIFG_lOFC and indiffrest$fpnetwork
## t = 1.1202, df = 35, p-value = 0.2703
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1468279  0.4810620
## sample estimates:
##      cor 
## 0.186042

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ROI to ROI FC

Rest and fMRI

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rslIFG_lOFC and indiffrest$l_OFC
## t = -0.26181, df = 35, p-value = 0.795
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.3630291  0.2838750
## sample estimates:
##        cor 
## -0.0442105

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## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rslIFG_lOFC and indiffrest$l_IFG
## t = 0.23201, df = 35, p-value = 0.8179
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.2884956  0.3586516
## sample estimates:
##       cor 
## 0.0391865

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Rest and DTI (outlier corrected)

## 
##  Pearson's product-moment correlation
## 
## data:  outcorrDTI$rslIFG_lOFC and outcorrDTI$FA_thr50
## t = -0.83687, df = 34, p-value = 0.4085
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.4496161  0.1955995
## sample estimates:
##        cor 
## -0.1420656

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## 
##  Pearson's product-moment correlation
## 
## data:  outcorrDTI$rslIFG_lOFC and outcorrDTI$FA_thr75
## t = -1.0951, df = 34, p-value = 0.2811
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.4837858  0.1532401
## sample estimates:
##        cor 
## -0.1845887

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Rest and ET

NOTE - Currently not outlier corrected

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rslIFG_lOFC and indiffrest$zDTDiff
## t = 1.2264, df = 35, p-value = 0.2282
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1295602  0.4944774
## sample estimates:
##       cor 
## 0.2029799

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## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rslIFG_lOFC and indiffrest$DTDiff
## t = 1.2888, df = 35, p-value = 0.2059
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1194020  0.5022329
## sample estimates:
##       cor 
## 0.2128519

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Rest and Age

NOTE - Need to set up this correlation differently

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$rslIFG_lOFC and indiffrest$Age_Months
## t = -0.40433, df = 35, p-value = 0.6884
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.3837264  0.2616137
## sample estimates:
##         cor 
## -0.06818518

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Rest and BMI

## 
##  Pearson's product-moment correlation
## 
## data:  outcorrBMI$rslIFG_lOFC and outcorrBMI$BMI
## t = 1.1389, df = 34, p-value = 0.2627
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1460289  0.4894155
## sample estimates:
##       cor 
## 0.1917039

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Taking a Closer look at Age

Age and fMRI

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$Age_Months and indiffrest$l_OFC
## t = -0.28995, df = 35, p-value = 0.7736
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.3671478  0.2794999
## sample estimates:
##         cor 
## -0.04895235

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## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$Age_Months and indiffrest$l_IFG
## t = 1.0975, df = 35, p-value = 0.2799
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1505128  0.4781607
## sample estimates:
##       cor 
## 0.1824018

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Age and DTI (outlier corrected)

## 
##  Pearson's product-moment correlation
## 
## data:  outcorrDTI$Age_Months and outcorrDTI$FA_thr50
## t = -0.37904, df = 34, p-value = 0.707
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.3851952  0.2694086
## sample estimates:
##         cor 
## -0.06486866

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## 
##  Pearson's product-moment correlation
## 
## data:  outcorrDTI$Age_Months and outcorrDTI$FA_thr75
## t = -0.22609, df = 34, p-value = 0.8225
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.3626641  0.2935273
## sample estimates:
##         cor 
## -0.03874473

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Age and ET

NOTE - Currently not outlier corrected

## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$Age_Months and indiffrest$zDTDiff
## t = 0.83048, df = 35, p-value = 0.4119
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1937315  0.4430753
## sample estimates:
##       cor 
## 0.1390138

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## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$Age_Months and indiffrest$DTDiff
## t = 0.91734, df = 35, p-value = 0.3652
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1797135  0.4546730
## sample estimates:
##      cor 
## 0.153228

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Is age a factor in some of these things?

cor.test(indiffrest$zDTDiff,indiffrest$fpnetwork, data=indiffrest)
## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$zDTDiff and indiffrest$fpnetwork
## t = 2.2047, df = 35, p-value = 0.03414
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.0283994 0.6047923
## sample estimates:
##      cor 
## 0.349205
cor.test(indiffrest$zDTDiff,indiffrest$FA_thr50, data=indiffrest)
## 
##  Pearson's product-moment correlation
## 
## data:  indiffrest$zDTDiff and indiffrest$FA_thr50
## t = -1.4865, df = 35, p-value = 0.1461
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.5261631  0.0872155
## sample estimates:
##        cor 
## -0.2436901
m1 <- lm(zDTDiff ~ fpnetwork, data=indiffrest)
summary(m1)
## 
## Call:
## lm(formula = zDTDiff ~ fpnetwork, data = indiffrest)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.60853 -0.42971 -0.00543  0.67840  2.14151 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)  
## (Intercept)  -1.5708     0.7386  -2.127   0.0406 *
## fpnetwork     6.2927     2.8542   2.205   0.0341 *
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.007 on 35 degrees of freedom
## Multiple R-squared:  0.1219, Adjusted R-squared:  0.09686 
## F-statistic: 4.861 on 1 and 35 DF,  p-value: 0.03414
m2 <-lm(zDTDiff ~ FA_thr50 + fpnetwork, data=indiffrest)
summary(m2)
## 
## Call:
## lm(formula = zDTDiff ~ FA_thr50 + fpnetwork, data = indiffrest)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.63221 -0.58665  0.00761  0.74030  2.09939 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)  
## (Intercept)    1.312      4.274   0.307   0.7608  
## FA_thr50      -6.200      9.052  -0.685   0.4981  
## fpnetwork      5.400      3.158   1.710   0.0963 .
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.015 on 34 degrees of freedom
## Multiple R-squared:  0.1339, Adjusted R-squared:  0.08295 
## F-statistic: 2.628 on 2 and 34 DF,  p-value: 0.08684

Maybe