A5023132139- Menstrual Health and Disorders
- Functional Brain Connectivity Studies
- Maternal Mental Health During Pregnancy and Postpartum
- Mental Health Research Topics
- Neuroendocrine regulation and behavior
- Schizophrenia research and treatment
- Stress Responses and Cortisol
- Suicide and Self-Harm Studies
- Behavioral Health and Interventions
- Neural and Behavioral Psychology Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Tryptophan and brain disorders
- Heart Rate Variability and Autonomic Control
- Cardiovascular Health and Risk Factors
- Health and Wellbeing Research
- Prenatal Substance Exposure Effects
- Advanced Neuroimaging Techniques and Applications
- Child and Adolescent Psychosocial and Emotional Development
- Advanced MRI Techniques and Applications
- Endometriosis Research and Treatment
- Decision-Making and Behavioral Economics
University of Illinois Chicago
2023-2024
Roosevelt University
2024
Johns Hopkins University
2021-2024
Center for Translational Research in Neuroimaging and Data Science
2024
Georgia Institute of Technology
2024
Georgia State University
2024
Emory University
2024
Johns Hopkins Medicine
2021
Cross-sectional and preliminary longitudinal findings suggest that cyclical ovarian hormone fluctuations influence acute suicide risk. The authors provide the first analyses in females with suicidality to investigate which daily symptoms covary suicidal ideation planning thoughts, role of menstrual cycle symptom variation, how mediate cycle-suicidality relationship, these associations vary across individuals.
The fluctuating ovarian hormones of the menstrual cycle can affect psychiatric symptom patterns almost any disorder, ranging from mild, transient symptoms (often termed “premenstrual syndrome”), to clinically significant exacerbation a chronic underlying disorder (perimenstrual exacerbation), severe that arise exclusively prior menses and remit completely (premenstrual dysphoric disorder). Regardless severity or diagnosis, each these examples represent manifestation Menstrual Cycle Affective...
Circadian rhythms are an integral feature of human cognition and psychopathology but difficult to measure outside laboratory conditions over long timescales. Smartphones other wearables ubiquitous in daily life therefore uniquely positioned these non-invasively continuously via digital phenotyping. Here, we propose a phenotyping framework quantify circadian passive data collected unobtrusively from such devices. First, use our approach map the sleep-wake cycle clinical, female outpatient...
Abstract While digital phenotyping provides opportunities for unobtrusive, real-time mental health assessments, the integration of its modalities is not trivial due to high dimensionalities and discrepancies in sampling frequencies. We provide an integrated pipeline that solves these issues by transforming all same time unit, applying temporal independent component analysis (ICA) high-dimensional modalities, fusing with linear mixed-effects models. applied our approach integrate...
Abstract Background Females who misuse alcohol experience high rates of negative physical and mental health consequences. Existing findings are inconsistent but suggest a relationship between ovarian hormones use. We aim to clarify how use drinking motives vary across the menstrual cycle in female psychiatric outpatients using luteinizing hormone (LH)‐confirmed phase. Methods Daily self‐reports ( n = 3721) were collected from 94 naturally cycling females, recruited for past‐month suicidal...
<h3>Background:</h3> Recent reports have indicated that symptom exacerbation after a period of improvement, referred to as relapse, in early-stage psychosis could result brain changes and poor disease outcomes. We hypothesized substantial neuroimaging alterations may exist among patients who experience relapse psychosis. <h3>Methods:</h3> studied with within 2 years the first psychotic event healthy controls. divided into groups, namely those did not between onset magnetic resonance imaging...
Increased sensitivity to ovarian hormone changes is implicated in the etiology of reproductive mood disorders across female lifespan, including menstrually-related disorders, perinatal and perimenopausal depression. Developing a method accurately quantify endogenous fluctuations may therefore facilitate prediction prevention these mental health conditions. Here, we propose one such applying synchrony analysis compute time-lagged cross-correlations between repeated assessments levels...
Abstract Background Affective responses to the menstrual cycle vary widely. Some individuals experience severe symptoms like those with premenstrual dysphoric disorder, while others have minimal changes. The reasons for these differences are unclear, but prior studies suggest stressor exposure may play a role. However, research in at-risk psychiatric samples is lacking. Methods In large clinical sample, we conducted prospective study of how lifetime stressors relate degree affective change...
Background: Across several patient cohorts recruited for recent suicidal ideation (SI), current affective disorder, and natural menstrual cycles, we have observed a dimensional (present to varying degrees) perimenstrual (PM) worsening of SI depressed mood, specifically relative an early luteal (EL) nadir. In our prior crossover trial, PM administration combined estradiol (E2) progesterone (P4) reduced this exacerbation depressive symptoms versus placebo (PBO). This three-period trial...
Abstract Treatment resistant (TR) psychosis is considered to be a significant cause of disability and functional impairment. Numerous efforts have been made identify the clinical predictors TR. However, exploration molecular biological markers still at an early stage. To understand TR condition potential markers, we analyzed demographic information, data, structural brain imaging data in 7 Tesla magnetic resonance spectroscopy, from first episode cohort that includes 138 patients. Age,...
Event-related potentials (ERPs) are widely employed as measures of transdiagnostic cognitive processes that thought to underlie various clinical disorders (Hajcak et al., 2019). Despite their prevalent use individual difference measures, the effects within-person processes, such human menstrual cycle, on a broad range ERPs poorly understood. The present study leveraged within-subject design characterize between- and variance in well contribution cycle two frequently studied associated with...
This paper discusses the scientific rationale and methodological considerations for incorporating menstrual cycle as a time-varying intra-individual factor in personalized medicine models, such Just-In-Time Adaptive Interventions (JITAIs). Among patients, accumulating evidence suggests that normal hormone fluctuations of represent can trigger or exacerbate psychiatric symptoms, including but not limited to affective dysregulation, suicidality, irritability. While only minority general female...
While digital phenotyping provides opportunities for unobtrusive, real-time mental health assessments, the integration of its modalities is not trivial due to high dimensionalities and discrepancies in sampling frequencies. We provide an integrated pipeline that solves these issues by transforming all same time unit, applying temporal independent component analysis (ICA) high-dimensional modalities, fusing with linear mixed-effects models. applied our approach integrate high-quality, daily...
ABSTRACT Recent reports have indicated that the occurrence of symptom exacerbation in early-stage psychosis could result brain changes. Such a is frequently called relapse, which underlies poorer disease outcome. Thus, it important to identify neuroimaging alterations are specifically seen patients who experience relapse psychosis. We hypothesized this specific patient group may be more homogenous disease-associated signatures likely linked compared with overall group. sub-stratified and...