Minor physical anomalies in unipolar depression

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Sneh Babhulkar ◽  
DurvaBalkrishna Sail ◽  
Ninad Waghmare ◽  
Krishna Kadam
Keyword(s):  
Unipolar Depression ◽  
Minor Physical Anomalies

Minor physical anomalies in women with recurrent unipolar depression

2010 ◽  
Vol 176 (1) ◽  
pp. 22-25 ◽  
Author(s):  
Jadranka Čulav-Sumić ◽  
Vlado Jukić
Keyword(s):  
Unipolar Depression ◽  
Minor Physical Anomalies

Investigating the Dynamics of Suicidal Ideation

Crisis ◽  
2018 ◽  
Vol 39 (1) ◽  
pp. 65-69 ◽  
Author(s):  
Nina Hallensleben ◽  
Lena Spangenberg ◽  
Thomas Forkmann ◽  
Dajana Rath ◽  
Ulrich Hegerl ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Small Sample Size ◽  
Unipolar Depression ◽  
Small Sample ◽  
History Of ◽  
Severity Of Depression ◽  
Ecological Momentary ◽  
Depressive Episodes ◽  
Ema Method ◽  
Shed Light

Abstract. Background: Although the fluctuating nature of suicidal ideation (SI) has been described previously, longitudinal studies investigating the dynamics of SI are scarce. Aim: To demonstrate the fluctuation of SI across 6 days and up to 60 measurement points using smartphone-based ecological momentary assessments (EMA). Method: Twenty inpatients with unipolar depression and current and/or lifetime suicidal ideation rated their momentary SI 10 times per day over a 6-day period. Mean squared successive difference (MSSD) was calculated as a measure of variability. Correlations of MSSD with severity of depression, number of previous depressive episodes, and history of suicidal behavior were examined. Results: Individual trajectories of SI are shown to illustrate fluctuation. MSSD values ranged from 0.2 to 21.7. No significant correlations of MSSD with several clinical parameters were found, but there are hints of associations between fluctuation of SI and severity of depression and suicidality. Limitations: Main limitation of this study is the small sample size leading to low power and probably missing potential effects. Further research with larger samples is necessary to shed light on the dynamics of SI. Conclusion: The results illustrate the dynamic nature and the diversity of trajectories of SI across 6 days in psychiatric inpatients with unipolar depression. Prediction of the fluctuation of SI might be of high clinical relevance. Further research using EMA and sophisticated analyses with larger samples is necessary to shed light on the dynamics of SI.

Bipolar and Unipolar Depression: Based on MMPI-2

2011 ◽  
Vol 30 (1) ◽  
pp. 325-336 ◽  
Author(s):  
구민정 ◽  
지연경 ◽  
Sungwon Choi
Keyword(s):  
Unipolar Depression

An audit and insights from clinical exome sequencing in psychiatry: genotype-phenotype correlation

2020 ◽  
Author(s):  
Jayant Mahadevan ◽  
Reeteka Sud ◽  
Ravi Kumar Nadella ◽  
Vani P ◽  
Anand G Subramaniam ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Psychiatric Symptoms ◽  
Pathogenic Variant ◽  
Clinical Exome Sequencing ◽  
Mapt Gene ◽  
Nf1 Gene ◽  
Novel Variant ◽  
History Of ◽  
Atypical Presentations ◽  
Minor Physical Anomalies

BACKGROUND:Psychiatric syndromes have polymorphic symptomatology, and are known to be heritable. Psychiatric symptoms (and even syndromes) often occur as part of the clinical presentation in rare Mendelian syndromes. Clinical exome sequencing reports may help with refining diagnosis and influence treatment decisions, in addition to providing a window into the biology of brain and behaviour. We describe a clinical audit of 12 individuals who sought treatment at our hospital, and for whom targeted sequencing was ordered. Three cases are discussed in detail to demonstrate correlations between genotype and phenotype in the clinic.METHODS:Targeted Next-Generation Sequencing (NGS) was done using Clinical Exome Panel (TruSight One, Illumina) covering coding exons and flanking intronic sequences of 4811 genes associated with known inherited diseases. Variants detected were classified according to the American College for Medical Genetics (ACMG) recommendation for standards of interpretation and reporting of sequence variations.RESULTS:Ten out of twelve cases had at least one pathogenic variant. In one of these cases, we detected a known pathogenic variant in MAPT gene in a suspected FTD case, which helped us to confirm the diagnosis. In another case, we detected a novel variant predicted to be deleterious in NF1 gene. Identification of this mutation suggested a change in treatment for the patient, that was of benefit. The same patient also harboured a novel variant in the TRIO gene. This gene may be involved in biological processes that underlie the patient’s psychiatric illness.CONCLUSIONS:The cases discussed here exemplify different scenarios under which targeted exome sequencing can find meaningful application in the clinic: confirming diagnosis (MAPT variant), or modifying treatment (NF1). We suggest that clinical exome sequencing can be a helpful addition to a clinician’s toolkit when there are expediting factors to consider— such as early-onset, strong family history of mental illness, complex/atypical presentations and minor physical anomalies or neurocutaneous markers.

Co-Occurring Mood Problems in Autism Spectrum Disorder

2020 ◽  
pp. 27-51
Author(s):  
Virginia Carter Leno ◽  
Emily Simonoff
Keyword(s):  
Autism Spectrum Disorder ◽  
Service Use ◽  
Bipolar Depression ◽  
Behavioral Therapy ◽  
Treatment Options ◽  
Public Health Problem ◽  
Bipolar Disorders ◽  
Unipolar Depression ◽  
Autism Spectrum ◽  
Spectrum Disorder

Recent evidence suggests that individuals with autism spectrum disorder (ASD) experience depression at rates approximately four times greater than the general population. Co-occurring mood problems, including depressive and bipolar disorders, are associated with negative outcomes such as lower quality of life, increased adaptive behavior impairments, and greater service use. This chapter discusses what is known about the presentation of unipolar and bipolar depression in people with ASD and describes challenges to establishing sound prevalence estimates of mood disorders in ASD as they relate to methodological design issues and diagnostic assessment practices. It also provides an overview of potential vulnerability factors in the development of depression in this population; these areas of vulnerability include characteristics such as chronological age, cognitive ability, and ASD symptom severity, as well as those individual differences that may represent more direct mechanisms, for example, maladaptive coping styles, attentional biases, social reward profiles, and predisposition to rumination. The current research on interventions specifically designed to treat mood in people with ASD is very limited. However, promising treatments include adapted cognitive behavioral therapy and mindfulness-based approaches. Though most of this chapter focuses on unipolar depression in ASD as the more well-studied mood disorder, the chapter also summarizes the small research base on bipolar disorder in the context of ASD. It ends with a call for improved screening, assessment, and evidence-based treatment options to address this significant public health problem in this special population.

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