Filtering by
- All Subjects: Neuroscience
- Creators: Department of Psychology
- Resource Type: Text
"No civil discourse, no cooperation; misinformation, mistruth." These were the words of former Facebook Vice President Chamath Palihapitiya who publicly expressed his regret in a 2017 interview over his role in co-creating Facebook. Palihapitiya shared that social media is ripping apart the social fabric of society and he also sounded the alarm regarding social media’s unavoidable global impact. He is only one of social media’s countless critics. The more disturbing issue resides in the empirical evidence supporting such notions. At least 95% of adolescents own a smartphone and spend an average time of two to four hours a day on social media. Moreover, 91% of 16-24-year-olds use social media, yet youth rate Instagram, Facebook, and Twitter as the worst social media platforms. However, the social, clinical, and neurodevelopment ramifications of using social media regularly are only beginning to emerge in research. Early research findings show that social media platforms trigger anxiety, depression, low self-esteem, and other negative mental health effects. These negative mental health symptoms are commonly reported by individuals from of 18-25-years old, a unique period of human development known as emerging adulthood. Although emerging adulthood is characterized by identity exploration, unbounded optimism, and freedom from most responsibilities, it also serves as a high-risk period for the onset of most psychological disorders. Despite social media’s adverse impacts, it retains its utility as it facilitates identity exploration and virtual socialization for emerging adults. Investigating the “user-centered” design and neuroscience underlying social media platforms can help reveal, and potentially mitigate, the onset of negative mental health consequences among emerging adults. Effectively deconstructing the Facebook, Twitter, and Instagram (i.e., hereafter referred to as “The Big Three”) will require an extensive analysis into common features across platforms. A few examples of these design features include: like and reaction counters, perpetual news feeds, and omnipresent banners and notifications surrounding the user’s viewport. Such social media features are inherently designed to stimulate specific neurotransmitters and hormones such as dopamine, serotonin, and cortisol. Identifying such predacious social media features that unknowingly manipulate and highjack emerging adults’ brain chemistry will serve as a first step in mitigating the negative mental health effects of today’s social media platforms. A second concrete step will involve altering or eliminating said features by creating a social media platform that supports and even enhances mental well-being.
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by the deterioration of upper and lower motor neurons in the brain, brain stem, and spinal cord. Multiple missense mutations have been connected to familial ALS, including those in the Matrin-3 protein. Matrin-3 is an RNA and DNA-binding protein encoded by the MATR3 gene. Normally found in the nuclear matrix, Matrin-3 plays several roles vital to RNA metabolism, including splicing, RNA degradation, mRNA transport, mRNA stability, and transcription. Mutations in MATR3 leading to familial ALS include P154S and S85C, but the mechanisms through which these mutations contribute to ALS pathology remain unknown. This makes mouse models particularly useful in elucidating pathology mechanisms, ultimately having the potential to serve as preclinical models for therapeutic drugs. Because of the importance of animal models, we worked to create ALS mouse models for the MATR3 P154S and S85C mutations. We specifically generated two CRISPR/Cas9 mediated knock-in mouse models containing the MATR3 P154S or S85C mutation expressed under the control of the endogenous promoter. Both the homozygous and heterozygous P154S mice developed no physical or motor defects or shortening of lifespan compared to the wildtype mice. They also exhibited no ALS-like pathology in either the muscle or spinal cord up to 24 months. In contrast, the homozygous S85C mice exhibited significant physical and motor differences, including smaller weight, impaired gait, and shortening of lifespan. Some ALS-like pathology was observed in the muscle, but pathology remained limited in the spinal cord of the homozygous mice up to 12 months. In conclusion, our data suggests that the MATR3 P154S mutation alone does not cause ALS in vivo, while the MATR3 S85C mutation induces significant motor deficits, with pathology in the spinal cord potentially beginning at older ages not examined in our study.
For my thesis, I conducted a study on a healthy pediatric cohort to investigate how DNA methylation of genes related to myelin may predict total white matter volume in a healthy pediatric cohort. The relatively new field of neuroimaging epigenetics investigates how methylation of genes in peripheral tissue samples is related to certain structural or functional features of the brain, as measured by neuroimaging data. Research has already demonstrated that methylation of genes in peripheral tissues is related to a variety of brain disorders. We hypothesized that methylation of myelin-related genes as measured in saliva samples would predict total white matter volume in a healthy pediatric cohort. After processing DNA methylation data from saliva samples from participants, multiple linear regressions were ran to determine if DNA methylation of myelin related genes was related to total white matter volume, as measured by data from structural MRIs. Results showed that these genes, which included MOG, MBP, and MYRF, significantly predicted total white matter volume. Two genes that were significant in our results have been previously shown to produce proteins that are essential to the structure of myelin.