Prefrontal Cortex Definitions and Their Use in Distinguishing Pornography Addicted Juveniles
Prawiroharjo, P.; Edison, R. E.; Ellydar, H.; Pratama, P.; Suaidy, S. E. I.; Amani, N. Z.; Carissima, D.; Hatta, G. F.
Show abstract
Background and aimsIncreasing popularity of Internet has exposed our children pornography addiction. As in other types of addiction, it affects a brain region known as prefrontal cortex (PFC), which is important in executive functions and inhibitory control. However, this region was loosely defined, and there was no consensus for that definition. We aimed to use volumetric MRI in finding the defining region of PFC which would be suitable in distinguishing pornography addicted juveniles. MethodsWe enrolled 30 juveniles (12-16 y.o.) consisting of 15 pornography addiction and 15 non-addiction subjects. We proposed several models of PFC definition from mix-and-matched subregions, consisting of orbitofrontal (OFC), inferior frontal gyrus (IFG; pars orbitalis, opercularis, and triangularis), dorsolateral PFC (DLPFC), and anterior cingulate (ACC). Suitable PFC definition was defined as models which volume statistically different between both groups. Brain volumetric was measured using 3D-T1 3T MRI images and analyzed using FreeSurfer(R) for automatic cortical reconstruction and brain segmentation (recon-all command). ResultsWe found significant differences between groups in 6 models, which mainly included OFC, ACC, and DLPFC, with models devoid of DLPFC had lowest mean differences. ConclusionThe most suitable definition of PFC for pornography addiction study should consist of OFC, ACC, and especially DLPFC. Inferior frontal gyrus pars orbitalis was not necessary for this purpose, but may increase effect size if it is included.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Correlation between religiosity and family functioning among secondary school students in high-risk residing areas and factors associated with substance use 95%
- Association Study Of Six Candidate Genes With Major Depressive Disorder In The North-Western Population Of Pakistan 94%
- Personality traits and other factors associated with psychotropic medication non-adherence at two hospitals in Uganda. A cross-sectional study 93%
Similar papers in this journal
- Lower nerve growth factor levels in major depression and suicidal behaviors: effects of adverse childhood experiences and recurrence of illness 93%
- Abnormal Functional Network Topology and its Dynamics during Sustained Attention Processing Significantly Implicate Post-TBI Attention Deficits in Children 92%
- Possible association of nucleobindin-1 protein with depressive disorder in patients with HIV infection 92%
Similar papers in this journal
- Multimodal MRI Reveals Brain Structural Differences and Executive Dysfunction in Early Methamphetamine Abstinence 92%
- Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning analysis 91%
- Diagnosis of Schizophrenia and its Subtypes Using MRI and Machine Learning 91%
Similar papers in this journal
- The cerebellum as a moderator of negative bias of facial expression processing in depressive patients 90%
- Predictors of black fungus fear during the COVID-19 pandemic among the Bangladeshi health workers: a cross-sectional study 89%
- Depression polygenic scores are associated with major depressive disorder diagnosis and depressive episode in Mexican adolescents 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.