The emerging modern face of mood disorders: a didactic editorial with a detailed presentation of data and definitions

Fountoulakis, Konstantinos Ν.

doi:10.1186/1744-859x-9-14

Cited by 21 publications

(15 citation statements)

References 227 publications

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“…Emotional reactivity/lability (increased) "Unstable and rapidly changing emotions due to hyper-reactivity to emotional stimuli" (Fountoulakis, 2010). Socio-emotional stimuli Emotional faces, voices, or images.…”

Section: Emotion Regulationmentioning

confidence: 99%

Social interactions, emotion and sleep: A systematic review and research agenda

Beattie

Kyle

Espie

et al. 2015

Sleep Medicine Reviews

186

120

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Sleep and emotion are closely linked, however the effects of sleep on socio-emotional task performance have only recently been investigated. Sleep loss and insomnia have been found to affect emotional reactivity and social functioning, although results, taken together, are somewhat contradictory. Here we review this advancing literature, aiming to 1) systematically review the relevant literature on sleep and socio-emotional functioning, with reference to the extant literature on emotion and social interactions, 2) summarize results and outline ways in which emotion, social interactions, and sleep may interact, and 3) suggest key limitations and future directions for this field. From the reviewed literature, sleep deprivation is associated with diminished emotional expressivity and impaired emotion recognition, and this has particular relevance for social interactions. Sleep deprivation also increases emotional reactivity; results which are most apparent with neuro-imaging studies investigating amygdala activity and its prefrontal regulation. Evidence of emotional dysregulation in insomnia and poor sleep has also been reported. In general, limitations of this literature include how performance measures are linked to self-reports, and how results are linked to socio-emotional functioning. We conclude by suggesting some possible future directions for this field.

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Section: Emotion Regulationmentioning

confidence: 99%

Social interactions, emotion and sleep: A systematic review and research agenda

Beattie

Kyle

Espie

et al. 2015

Sleep Medicine Reviews

186

120

View full text Add to dashboard Cite

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“…Bipolar disorder (BD) and major depressive disorder (MDD) are severe mood disorders often characterized by a perseverative course across the affected individuals' lifetimes (Fountoulakis, 2010;Grande, Berk, Birmaher, & Vieta, 2016;Hardeveld, Spijker, De Graaf, Nolen, & Beekman, 2010;Kessler et al, 2003). Often enough, it is most difficult to distinguish patients with BD and MDD as both disorders manifest themselves highly similar in depressive episodes.…”

Section: Introductionmentioning

confidence: 99%

Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder

et al. 2019

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Introduction Previous studies have established graph theoretical analysis of functional network connectivity (FNC) as a potential tool to detect neurobiological underpinnings of psychiatric disorders. Despite the promising outcomes in studies that examined FNC aberrancies in bipolar disorder (BD) and major depressive disorder (MDD), there is still a lack of research comparing both mood disorders, especially in a nondepressed state. In this study, we used graph theoretical network analysis to compare brain network properties of euthymic BD, euthymic MDD and healthy controls (HC) to evaluate whether these groups showed distinct features in FNC. Methods We collected resting‐state functional magnetic resonance imaging (fMRI) data from 20 BD patients, 15 patients with recurrent MDD as well as 30 age‐ and gender‐matched HC. Graph theoretical analyses were then applied to investigate functional brain networks on a global and regional network level. Results Global network analysis revealed a significantly higher mean global clustering coefficient in BD compared to HC. We further detected frontal, temporal and subcortical nodes in emotion regulation areas such as the limbic system and associated regions exhibiting significant differences in network integration and segregation in BD compared to MDD patients and HC. Participants with MDD and HC only differed in frontal and insular network centrality. Conclusion In conclusion, our findings indicate that a significantly altered brain network topology in the limbic system might be a trait marker specific to BD. Brain network analysis in these regions may therefore be used to differentiate euthymic BD not only from HC but also from patients with MDD.

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“…Although originally it has been suggested that the prevalence of manic depressive psychosis was approximately 1%, nowadays we are aware that the actual prevalence of the disorder depends on the definition 6 . Bipolar disorder type I (BD-I) and type II (BD-II) are both disabling conditions and show a combined prevalence rate of 3.7% 7,8 .…”

Section: Introductionmentioning

confidence: 99%

“…Recent international research results indicate that DSM-defined mixed episodes (including simultaneous manifestation of full blown mania and depression) are rather the exceptions than the rule 1 . Instead, there is usually a combination of manic and depressive symptoms in a clinical manifestation which does not meet the DSM criteria of manic, depressive or mixed episodes, leaving Not-Otherwise-Specified (NOS) mood episode as the only possible diagnosis 6 , which is a clinical picture manifesting with a simultaneous presence of symptoms of depression and mania, and exhibiting a fluctuating course 14,15 . Manic and especially hypomanic symptoms often remain unrecognised because the mood is irritable instead of hyperthymic.…”

Section: Introductionmentioning

confidence: 99%

The Role of Temperament in the Etiopathogenesis of Bipolar Spectrum Illness

Fountoulakis

Gonda

Koufaki

et al. 2016

Harvard Review of Psychiatry

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Bipolar disorder constitutes a challenge for clinicians in everyday clinical practice. Our knowledge concerning this clinical entity is incomplete and contemporary classification systems are unable to reflect the complexity of this disorder.. The concept of temperament which for the first time was described during antiquity constitutes a reasonable vehicle to synthesize our knowledge on how the human body works and what determines human behavior. Although it originally included philosophical and sociocultural approaches, today the biomedical model is dominant. It is possible that specific temperaments might constitute vulnerability factors, determine the clinical picture or constitute illness course modifiers and even act as a bridge between genes and clinical manifestations, thus giving birth to the concept of the bipolar spectrum with major implications for all aspects of mental health research and providing of care. More specifically it has been reported that the hyperthymic and the depressive temperaments are related to the more 'classic' bipolar disorder, while cyclothymic, anxious and irritable temperaments are related to more complex manifestations and might predict poor response to treatment, violent or suicidal behavior and high comorbidity. It seems reasonable to assume that the incorporating of the concept of temperament and the bipolar spectrum in the standard training of psychiatric residents might result in an improvement of everyday clinical practice.3

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The emerging modern face of mood disorders: a didactic editorial with a detailed presentation of data and definitions

Cited by 21 publications

References 227 publications

Social interactions, emotion and sleep: A systematic review and research agenda

Social interactions, emotion and sleep: A systematic review and research agenda

Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder

The Role of Temperament in the Etiopathogenesis of Bipolar Spectrum Illness

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