Trait impulsivity is not related to post-commissural putamen volumes: A replication study in healthy men.
Fernando CaravaggioPontus Plavén-SigrayGranville James MathesonEric PlitmanM Mallar ChakravartyJacqueline BorgAriel Graff-GuerreroSimon CervenkaPublished in: PloS one (2018)
High levels of trait impulsivity are considered a risk factor for substance abuse and drug addiction. We recently found that non-planning trait impulsivity was negatively correlated with post-commissural putamen volumes in men, but not women, using the Karolinska Scales of Personality (KSP). Here, we attempted to replicate this finding in an independent sample using an updated version of the KSP: the Swedish Universities Scales of Personality (SSP). Data from 88 healthy male participants (Mean Age: 28.16±3.34), who provided structural T1-weighted magnetic resonance images (MRIs) and self-reported SSP impulsivity scores, were analyzed. Striatal sub-region volumes were acquired using the Multiple Automatically Generated Templates (MAGeT-Brain) algorithm. Contrary to our previous findings trait impulsivity measured using SSP was not a significant predictor of post-commissural putamen volumes (β = .14, df = 84, p = .94). A replication Bayes Factors analysis strongly supported this null result. Consistent with our previous findings, secondary exploratory analyses found no relationship between ventral striatum volumes and SSP trait impulsivity (β = -.05, df = 84, p = .28). An exploratory analysis of the other striatal compartments showed that there were no significant associations with trait impulsivity. While we could not replicate our previous findings in the current sample, we believe this work will aide future studies aimed at establishing meaningful brain biomarkers for addiction vulnerability in healthy humans.
Keyphrases
- obsessive compulsive disorder
- borderline personality disorder
- genome wide
- magnetic resonance
- functional connectivity
- resting state
- deep brain stimulation
- deep learning
- parkinson disease
- machine learning
- magnetic resonance imaging
- gene expression
- middle aged
- emergency department
- dna methylation
- type diabetes
- spinal cord
- adipose tissue
- cerebral ischemia
- spinal cord injury
- polycystic ovary syndrome
- brain injury
- skeletal muscle
- blood brain barrier
- optical coherence tomography
- pregnancy outcomes
- subarachnoid hemorrhage
- current status
- insulin resistance
- artificial intelligence
- psychometric properties
- neural network
- adverse drug
- breast cancer risk