Optogenetic self-stimulation in the nucleus accumbens: D1 reward versus D2 ambivalence

n=6 D1 ChR2; n=5 D2 ChR2; n=7 D1 EYFP & n=6 D2
achieving>500 laser spout touches per 30
non laser 16^th -30^th min; Friedman's, X^2=4.654, p=.031; Fig 2
D2 ChR2 vs EYFP, Day 6; Mann Whitney U, Z=2.563, p=.010, r=0.56
D1 ChR2 Distance=15.43cm SEM+/- 1.92 vs D2 ChR2 Distance=13.93cm SEM+/- 1.80
medial shell=~1600+- 802 laser spout touches one high individual D1 ChR2>4500; core=~274+-242 touches overall highest individual ~700. removedGRAPHIC D2 ChR2
D2 ChR2 stimulations both recruited similar>200%
D1 vs naïve Mann Whitney U, Z=2.22, p=.026, r=0.62
D2 ChR2 vs naïve Mann Whitney U, Z==1.87, p=.061, r=0.54
over longer>2 sec durations (<2 sec durations) [44]
D1=9 mice; D2=9 mice; EYFP=12 mice. Both D1

Comparison of autism spectrum disorder surveillance status based on two different diagnostic schemes: Findings from the Metropolitan Atlanta Developmental Disabilities Surveillance Program, 2012

cdc led workgroup of addm clinician reviewers

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Heterogeneous groups overcome the diffusion of responsibility problem in social norm enforcement

What's going on in my baby's mind? Mothers' executive functions contribute to individual differences in maternal mentalization during mother-infant interactions

Profiling of victimization, perpetration, and participation: A latent class analysis among people with severe mental illness

Assessing robustness against potential publication bias in Activation Likelihood Estimation (ALE) meta-analyses for fMRI

general principles of coordinate based meta analysis
therefore resembles classical meta analysis
context of ale coordinate based meta analysis

Accommodating exogenous variable and decision rule heterogeneity in discrete choice models: Application to bicyclist route choice

m x 1 column vector of estimable coefficient
random utility based multinomial logit model
random regret based multinomial logit model
lx1 column vector of estimable coefficient
random utility based mixed multinomial logit model
random regret based mixed multinomial logit model
random utility based latent multinomial logit model
random regret based latent multinomial logit model