Contrasting Chronic and Nonchronic Depression with Neuromelanin-sensitive MRI

Author: Maegan Diep, Class of 2029 Depression varies in traits and characteristics among individuals, making its causes and mechanisms difficult to treat. Though depression can be categorized into chronic and nonchronic courses, the issue of reliable diagnoses persists, as there is a lack of evidence in distinguishing the etiology and physiological processes of the condition. Thus, researchers from the Klein lab at Stony Brook University … Continue reading Contrasting Chronic and Nonchronic Depression with Neuromelanin-sensitive MRI

Food Insecurity and Adolescent Suicidal Behavior: Fighting The Cause

Laura Ladekarl, Class of 2025 Amid a growing mental health crisis, suicide is a leading cause of death in adolescents. It particularly affects those from a lower socio-economic status due to limited access to sufficient and nutritious food. Food insecurity can impact cognitive-affective states, and adolescents facing it often report social isolation and feelings of shame, sadness, and family strain. Dr. Steare and his colleagues … Continue reading Food Insecurity and Adolescent Suicidal Behavior: Fighting The Cause

Novel Implications of the Neuroimmune System in Major Depressive Disorder

Sean Krivitsky, Class of 2026 Every year, three million people in the United States alone are diagnosed with major depressive disorder (MDD). MDD is a serious form of mental illness that impacts countless facets of people’s lives, characterized by a persistently low mood and general impairment of daily routines. Interestingly, glial cells, generally known for their roles in regulation and support of neuronal networks in … Continue reading Novel Implications of the Neuroimmune System in Major Depressive Disorder

What do Machines Know of Depression? Explaining Past Failures of Clinical Algorithms About MDD

Author: Ishmam Khan, Class of 2025 Figure 1: MDD is a devastating, extremely common, and fast-growing disease in terms of suffering, mortality, and cost to society. Since COVID-19, the rates of mental health disorders have increased significantly. One such disorder is Major Depressive Disorder (MDD), a serious disorder affecting more than 8% of the US population. As of 2024, the remission rates, or rate of … Continue reading What do Machines Know of Depression? Explaining Past Failures of Clinical Algorithms About MDD

Understanding SSRI Withdrawal: Insights Into the Complex Journey

By: Marie Collison, Class of ‘25 Depression is a very common and impairing condition, often resulting in costly care. Selective serotonin reuptake inhibitors (SSRIs) are commonly prescribed as a part of treatment; however, 30–50% of individuals who are prescribed antidepressants do not take them long-term. There are many reasons why a patient may decide to stop taking their medication, such as experiencing negative side effects … Continue reading Understanding SSRI Withdrawal: Insights Into the Complex Journey

Orbitofrontal Cortex Studies May Pave the Way to Treating Social Anhedonia

Author: Kimberly Johnston, Class of 2026 Social anhedonia is a psychological condition characterized by a diminished ability to experience pleasure from social interactions and activities. It is associated with greater symptom severity and poorer response to treatment in individuals with Major Depressive Disorder (MDD). In individuals with MDD and social anhedonia, abnormalities in the orbitofrontal cortex (OFC) may hinder the brain’s ability to properly respond … Continue reading Orbitofrontal Cortex Studies May Pave the Way to Treating Social Anhedonia

Transgender and Gender Diverse Individuals at Greater Risk For Suicidal Ideation

Jessica George ’24 Suicide has been a long standing issue in the United States, with several socio-demographic and economic factors affecting an individual’s susceptibility to suicide risk. Transgender and gender diverse individuals (TGD) are at especially high risk. Given the high rates of suicide among TGD, as well as the lack of research in this area, it is important to address this gap. Dr. Kirakosian … Continue reading Transgender and Gender Diverse Individuals at Greater Risk For Suicidal Ideation

Brief Digital Interventions Can Alleviate Adolescent Depressive Symptoms

Vignesh Subramanian ’24 Depression is a mood disorder involving persistent feelings of dejection or hopelessness, difficulty with control of emotions, and loss of interest or pleasure in regular activities. As depressive disorders are increasingly recognized as a legitimate medical issue and treatment is destigmatized, younger generations in the United States have consistently reported higher rates of experiencing such conditions. However, less than half of afflicted … Continue reading Brief Digital Interventions Can Alleviate Adolescent Depressive Symptoms

Psychological Applications of Machine Learning: Quantifying the Risk of Prenatal Depression

Zhifei Zeng ’23 Current research suggests that factors such as socioeconomic deprivation, inadequate prenatal care, unplanned pregnancy, and psychosocial vulnerability such as stress may contribute to prenatal depression. PROMOTE is a newly developed screening tool that identifies psychosocial vulnerability in prenatal populations by assessing social determinants of health, social resources, stress and health behaviors. A research group led by Heidi Preis of Stony Brook University … Continue reading Psychological Applications of Machine Learning: Quantifying the Risk of Prenatal Depression

Depression as a Risk Factor for Severe COVID-19 Infection

Peter Gillespie ’25 Covid-19 has been at the forefront of concern for many since the pandemic struck, especially for patients with risk factors for severe diseases if infected by Covid-19. Respiratory and cardiovascular disease, old age, hypertension, and diabetes have already been established as high risk factors for severe Covid-19 infection. However, recent research from Dr. Sean Clouston and his colleagues has identified a new … Continue reading Depression as a Risk Factor for Severe COVID-19 Infection

Not A Coincidence: Adolescent Women Are More Likely To Suffer From Depression

Figure 1: Cambridge University research team finds adolescent women’s brain development and genes may make them more likely to suffer from depression. Zhifei Zeng ’23 Women are often perceived to be more prone to being sentimental. This apparent connection may not be coincidental, but rather related to the biological makeup of the female brain. Adolescence is a time of critical brain development, but it is … Continue reading Not A Coincidence: Adolescent Women Are More Likely To Suffer From Depression

Poor Mother-Child Relationships Play an Influential Role In The Intergenerational Transmission of Depression

Jessica George ’24 Depression is a multifactorial condition, shaped by a variety of social factors such as relationships with others. Early childhood is a pivotal time of an individual’s life in shaping future interactions and behaviors. During this stage in life, parents play a vital role in a child’s social development, which poses the question of how a parent-child relationship could affect a child’s vulnerability … Continue reading Poor Mother-Child Relationships Play an Influential Role In The Intergenerational Transmission of Depression