Using machine learning to increase access to and engagement with trauma-focused interventions for posttraumatic stress disorder.

BACKGROUND: Post-traumatic stress disorder (PTSD) poses a global public health challenge. Evidence-based psychotherapies (EBPs) for PTSD reduce symptoms and improve functioning (Forbes et al., Guilford Press, 2020, 3). However, a number of barriers to access and engagement with these interventions prevail. As a result, the use of EBPs in community settings remains disappointingly low (Charney et al., Psychological Trauma: Theory, Research, Practice, and Policy, 11, 2019, 793; Richards et al., Community Mental Health Journal, 53, 2017, 215), and not all patients who receive an EBP for PTSD benefit optimally (Asmundson et al., Cognitive Behaviour Therapy, 48, 2019, 1). Advancements in artificial intelligence (AI) have introduced new possibilities for increasinfg access to and quality of mental health interventions. AIMS: The present paper reviews key barriers to accessing and engaging in EBPs for PTSD, discusses current applications of AI in PTSD treatment and provides recommendations for future AI integrations aimed at reducing barriers to access and engagement. DISCUSSION: We propose that AI may be utilized to (1) assess treatment fidelity; (2) elucidate novel predictors of treatment dropout and outcomes; and (3) facilitate patient engagement with the tasks of therapy, including therapy practice. Potential avenues for technological advancements are also considered.

East Asian Population.

This article explores the ways East Asian American (EAA) children and adolescents have experienced disparities in the United States throughout the COVID-19 pandemic. The history of racism toward Asian American and Pacific Islanders (AAPI) and the complexities of acculturation are reflected through this contemporary lens. Traditional East Asian (EA) values were disrupted during this period. Implications for children and families are discussed. Persistent underlying xenophobia and racism, such as the model minority myth or perpetual foreigner stereotype, rose to new prominence, furthering emotional distress in EA and EAA youths beyond those already experienced universally by AAPI families during the pandemic.

Advancing Antiracism in Community-Based Research Practices in Early Childhood and Family Mental Health.

Structural racism-the ways that institutional policies, practices, and other norms operate to create and sustain race-based inequities1-has historically been foundational to the operations of academic medical centers and research institutions. Since its inception, academic medicine has depended on the exploitation of vulnerable communities to achieve medical, educational, and research goals.2 Research practices have long ignored or taken advantage of the individuals purportedly benefiting from the research, a dynamic most manifestly true for Black, Indigenous, and People of Color (BIPOC) communities in the United States. Reflecting current practices in racial justice work, we intentionally use the term "BIPOC" to highlight shared experiences within racially and ethnically minoritized communities, given the history of White supremacy in the United States. We acknowledge limitations of this term, which collapses myriad unique communities and histories into one construct. Specifically, child and adolescent psychiatry has historically been driven by Eurocentric approaches, paradigms, and methodology. These nonparticipatory dominant research practices have contributed to a lack of culturally responsive interventions for BIPOC communities, a paucity of evidence-based practices with demonstrated effectiveness within BIPOC communities, and disparities in access and quality of care.3 Mental health research involving BIPOC communities has been replete with exploitation and inequality.2.

Educational Research: Why Medical Students Choose Neurology: A Computational Linguistics Analysis of Personal Statements.

OBJECTIVE: To understand medical students' motivations for choosing neurology and how applicants conceptualize the field, as this information can be used to enhance interest in neurology and develop educational programs to help identify, support, and recruit future neurologists. BACKGROUND: Applicants to neurology residencies submit personal statements describing themselves and their motivations. Textual analysis of personal statements has been performed in internal medicine and general surgery, but never before in neurology. We hypothesized that specific words and themes would be mentioned in residency personal statements with high frequencies indicating students' motivations. METHODS: We used computational linguistics software to assess key words and thereby study motivations, expectations, and themes present among neurology applicants. A total of 2,405 personal statements submitted over 5 years to our institution were de-identified and compiled into a database for evaluation through 3 computational linguistics software programs. We performed calculations of term frequencies (TF) and TF-inverse document frequencies and performed K-means clustering to identify unique words and common themes. RESULTS: Specific disease states were discussed. For example, stroke (TF 2,178), epilepsy (TF 970), and dementia (TF 944) were referenced more often than amyotrophic lateral sclerosis (TF 220) and carpal tunnel (TF 10). The most common proper names cited were Oliver Sacks (TF 94) and Sherlock Holmes (TF 41). Common themes included fascination with the brain, interest in research, desire to help patients, early interests in neurology, continued pursuit of learning, appreciation for time with patients, family history with neurologic illness, and intellectual curiosity. CONCLUSIONS: This first computational linguistic analysis of neurology personal statements provides understanding into medical students' motivations and interests. Ongoing subgroup and thematic analyses may inform educational strategies and enhance recruitment to our field.

Historical Perspectives: Unsilencing Suffering: Promoting Maternal Mental Health in Neonatal Intensive Care Units.

Mothers of infants in the NICU suffer higher rates of psychological distress, anxiety, and depression compared with the general population. Often, their mental health concerns remain underidentified and undertreated, which can have deleterious effects on the offspring, both in short-term outcomes while in the NICU as well as long-term neurodevelopmental and behavioral outcomes. In this review, we present an overview of existing empirical evidence about how maternal mental health affects the health of infants, special considerations regarding the mental health needs of NICU mothers, and the findings about existing and developing interventions to address mental health concerns in this vulnerable population.

Blast-Induced Tinnitus and Elevated Central Auditory and Limbic Activity in Rats: A Manganese-Enhanced MRI and Behavioral Study.

Blast-induced tinitus is the number one service-connected disability that currently affects military personnel and veterans. To elucidate its underlying mechanisms, we subjected 13 Sprague Dawley adult rats to unilateral 14 psi blast exposure to induce tinnitus and measured auditory and limbic brain activity using manganese-enhanced MRI (MEMRI). Tinnitus was evaluated with a gap detection acoustic startle reflex paradigm, while hearing status was assessed with prepulse inhibition (PPI) and auditory brainstem responses (ABRs). Both anxiety and cognitive functioning were assessed using elevated plus maze and Morris water maze, respectively. Five weeks after blast exposure, 8 of the 13 blasted rats exhibited chronic tinnitus. While acoustic PPI remained intact and ABR thresholds recovered, the ABR wave P1-N1 amplitude reduction persisted in all blast-exposed rats. No differences in spatial cognition were observed, but blasted rats as a whole exhibited increased anxiety. MEMRI data revealed a bilateral increase in activity along the auditory pathway and in certain limbic regions of rats with tinnitus compared to age-matched controls. Taken together, our data suggest that while blast-induced tinnitus may play a role in auditory and limbic hyperactivity, the non-auditory effects of blast and potential traumatic brain injury may also exert an effect.