scholarly journals Frontal EEG Asymmetry in Major Depression, Dysthymia and Bipolar Disorder

2021 ◽  
Vol 168 ◽  
pp. S145
Author(s):  
Chiara Spironelli ◽  
Francesca Fusina ◽  
Alessandro Angrilli
Keyword(s):  
Bipolar Disorder ◽  
Major Depression ◽  
Eeg Asymmetry ◽  
Frontal Eeg Asymmetry

Resting frontal EEG asymmetry in adolescents with major depression: Impact of disease state and comorbid anxiety disorder

2018 ◽  
Vol 129 (12) ◽  
pp. 2577-2585 ◽  
Author(s):  
Lisa Feldmann ◽  
Charlotte E. Piechaczek ◽  
Barbara D. Grünewald ◽  
Verena Pehl ◽  
Jürgen Bartling ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Major Depression ◽  
Disease State ◽  
Eeg Asymmetry ◽  
Frontal Eeg Asymmetry ◽  
Comorbid Anxiety

Resting frontal EEG asymmetry patterns in adolescents with and without major depression

2018 ◽  
Vol 132 ◽  
pp. 212-216 ◽  
Author(s):  
Barbara D. Grünewald ◽  
Ellen Greimel ◽  
Monika Trinkl ◽  
Jürgen Bartling ◽  
Nicola Großheinrich ◽  
...  
Keyword(s):  
Major Depression ◽  
Eeg Asymmetry ◽  
Frontal Eeg Asymmetry

scholarly journals EEG Frontal Asymmetry in Dysthymia, Major Depressive Disorder and Euthymic Bipolar Disorder

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2414
Author(s):  
Chiara Spironelli ◽  
Francesca Fusina ◽  
Marco Bortolomasi ◽  
Alessandro Angrilli
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Mood Disorders ◽  
Quantitative Eeg ◽  
Beta Activity ◽  
Major Depressive ◽  
Eeg Asymmetry ◽  
Frontal Asymmetry ◽  
Frontal Eeg Asymmetry

In the last few decades, the incidence of mood disorders skyrocketed worldwide and has brought an increasing human and economic burden. Depending on the main symptoms and their evolution across time, they can be classified in several clinical subgroups. A few psychobiological indices have been extensively investigated as promising markers of mood disorders. Among these, frontal asymmetry measured at rest with quantitative EEG has represented the main available marker in recent years. Only a few studies so far attempted to distinguish the features and differences among diagnostic types of mood disorders by using this index. The present study measured frontal EEG asymmetry during a 5-min resting state in three samples of patients with bipolar disorder in a Euthymic phase (EBD, n = 17), major depressive disorder (MDD, n = 25) and persistent depressive disorder (PDD, n = 21), once termed dysthymia. We aimed to test the hypothesis that MDD and PDD lack the typical leftward asymmetry exhibited by normal as well as EBD patients, and that PDD shows greater clinical and neurophysiological impairments than MDD. Clinical scales revealed no symptoms in EBD, and significant larger anxiety and depression scores in PDD than in MDD patients. Relative beta (i.e., beta/alpha ratio) EEG asymmetry was measured from lateral frontal sites and results revealed the typical greater left than right frontal beta activity in EBD, as well as a lack of asymmetry in both MDD and PDD. The last two groups also had lower bilateral frontal beta activity in comparison with the EBD group. Results concerning group differences were interpreted by taking into account both the clinical and the neurophysiological domains.

scholarly journals Frontal EEG asymmetry in infants observing separation and comforting events: The role of infants’ attachment relationship

2021 ◽  
Vol 48 ◽  
pp. 100941
Author(s):  
Szilvia Biro ◽  
Mikko J. Peltola ◽  
Rens Huffmeijer ◽  
Lenneke R.A. Alink ◽  
Marian J. Bakermans-Kranenburg ◽  
...  
Keyword(s):  
Eeg Asymmetry ◽  
Frontal Eeg Asymmetry ◽  
Attachment Relationship

scholarly journals Reply to “Replication of association of 3p21.1 with susceptibility to bipolar disorder but not major depression”

2010 ◽  
Vol 43 (1) ◽  
pp. 5-5 ◽  
Author(s):  
Francis J McMahon ◽  
Nirmala Akula ◽  
Sven Cichon ◽  
Sevilla D Detera-Wadleigh ◽  
Howard Edenberg ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depression

scholarly journals Prediction of response to drug therapy in psychiatric disorders

Open Biology ◽  
2018 ◽  
Vol 8 (5) ◽  
pp. 180031 ◽  
Author(s):  
Shani Stern ◽  
Sara Linker ◽  
Krishna C. Vadodaria ◽  
Maria C. Marchetto ◽  
Fred H. Gage
Keyword(s):  
Autism Spectrum Disorder ◽  
Bipolar Disorder ◽  
Major Depression ◽  
Personalized Medicine ◽  
Psychiatric Disorders ◽  
Association Studies ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Genome Wide Association Studies ◽  
Patient Reported

Personalized medicine has become increasingly relevant to many medical fields, promising more efficient drug therapies and earlier intervention. The development of personalized medicine is coupled with the identification of biomarkers and classification algorithms that help predict the responses of different patients to different drugs. In the last 10 years, the Food and Drug Administration (FDA) has approved several genetically pre-screened drugs labelled as pharmacogenomics in the fields of oncology, pulmonary medicine, gastroenterology, haematology, neurology, rheumatology and even psychiatry. Clinicians have long cautioned that what may appear to be similar patient-reported symptoms may actually arise from different biological causes. With growing populations being diagnosed with different psychiatric conditions, it is critical for scientists and clinicians to develop precision medication tailored to individual conditions. Genome-wide association studies have highlighted the complicated nature of psychiatric disorders such as schizophrenia, bipolar disorder, major depression and autism spectrum disorder. Following these studies, association studies are needed to look for genomic markers of responsiveness to available drugs of individual patients within the population of a specific disorder. In addition to GWAS, the advent of new technologies such as brain imaging, cell reprogramming, sequencing and gene editing has given us the opportunity to look for more biomarkers that characterize a therapeutic response to a drug and to use all these biomarkers for determining treatment options. In this review, we discuss studies that were performed to find biomarkers of responsiveness to different available drugs for four brain disorders: bipolar disorder, schizophrenia, major depression and autism spectrum disorder. We provide recommendations for using an integrated method that will use available techniques for a better prediction of the most suitable drug.

Emotional availability in women with bipolar disorder and major depression: A longitudinal pregnancy cohort study

2021 ◽  
pp. 000486742199879
Author(s):  
Pavitra Aran ◽  
Andrew J Lewis ◽  
Stuart J Watson ◽  
Thinh Nguyen ◽  
Megan Galbally
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Major Depression ◽  
Depressive Disorder ◽  
Emotional Availability ◽  
Major Depressive ◽  
Interaction Quality ◽  
Pregnancy Cohort ◽  
The Impact

Objective: Poorer mother–infant interaction quality has been identified among women with major depression; however, there is a dearth of research examining the impact of bipolar disorder. This study sought to compare mother–infant emotional availability at 6 months postpartum among women with perinatal major depressive disorder, bipolar disorder and no disorder (control). Methods: Data were obtained for 127 mother–infant dyads from an Australian pregnancy cohort. The Structured Clinical Interview for the DSM-5 was used to diagnose major depressive disorder ( n = 60) and bipolar disorder ( n = 12) in early pregnancy (less than 20 weeks) and review diagnosis at 6 months postpartum. Prenatal and postnatal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale, along with self-report psychotropic medication use. Mother and infant’s interaction quality was measured using the Emotional Availability Scales when infants reached 6 months of age. Multivariate analyses of covariance examining the effects of major depressive disorder and bipolar disorder on maternal emotional availability (sensitivity, structuring, non-intrusiveness, non-hostility) and child emotional availability (responsiveness, involvement) were conducted. Results: After controlling for maternal age and postpartum depressive symptoms, perinatal disorder (major depressive disorder, bipolar disorder) accounted for 17% of the variance in maternal and child emotional availability combined. Compared to women with major depressive disorder and their infants, women with bipolar disorder and their infants displayed lower ratings across all maternal and child emotional availability qualities, with the greatest mean difference seen in non-intrusiveness scores. Conclusions: Findings suggest that perinatal bipolar disorder may be associated with additional risk, beyond major depressive disorder alone, to a mother and her offspring’s emotional availability at 6 months postpartum, particularly in maternal intrusiveness.

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