Treatment-Resistant Eating Disorders

Kim, Youl‐Ri; Kim, Jione

doi:10.1007/978-981-10-4358-1_17

Cited by 2 publications

(1 citation statement)

References 38 publications

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“…The identified biomarkers could result from treatment non-response or recurrence rather than a neural mechanism underlying these phenomena in MDD. Thus, untreated patients should be recruited in a study with a long-term follow-up design to elucidate the cause-and-effect relationship (Kim, 2018).…”

Section: Introductionmentioning

confidence: 99%

Modulation of resting-state functional connectivity in default mode network is associated with the long-term treatment outcome in major depressive disorder

Wang

Liu

et al. 2022

Psychol. Med.

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Background Treatment non-response and recurrence are the main sources of disease burden in major depressive disorder (MDD). However, little is known about its neurobiological mechanism concerning the brain network changes accompanying pharmacotherapy. The present study investigated the changes in the intrinsic brain networks during 6-month antidepressant treatment phase associated with the treatment response and recurrence in MDD. Methods Resting-state functional magnetic resonance imaging was acquired from untreated patients with MDD and healthy controls at baseline. The patients' depressive symptoms were monitored by using the Hamilton Rating Scale for Depression (HAMD). After 6 months of antidepressant treatment, patients were re-scanned and followed up every 6 months over 2 years. Traditional statistical analysis as well as machine learning approaches were conducted to investigate the longitudinal changes in macro-scale resting-state functional network connectivity (rsFNC) strength and micro-scale resting-state functional connectivity (rsFC) associated with long-term treatment outcome in MDD. Results Repeated measures of the general linear model demonstrated a significant difference in the default mode network (DMN) rsFNC change before and after the 6-month antidepressant treatment between remitters and non-remitters. The difference in the rsFNC change over the 6-month antidepressant treatment between recurring and stable MDD was also specific to DMN. Machine learning analysis results revealed that only the DMN rsFC change successfully distinguished non-remitters from the remitters at 6 months and recurring from stable MDD during the 2-year follow-up. Conclusion Our findings demonstrated that the intrinsic DMN connectivity could be a unique and important target for treatment and recurrence prevention in MDD.

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Section: Introductionmentioning

confidence: 99%

Modulation of resting-state functional connectivity in default mode network is associated with the long-term treatment outcome in major depressive disorder

Wang

Liu

et al. 2022

Psychol. Med.

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Suicide Risk in Bipolar Disorder: A Brief Review

2019

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Bipolar disorders (BDs) are prevalent mental health illnesses that affect about 1–5% of the total population, have a chronic course and are associated with a markedly elevated premature mortality. One of the contributors for the decreased life expectancy in BD is suicide. Accordingly, the rate of suicide among BD patients is approximately 10–30 times higher than the corresponding rate in the general population. Extant research found that up to 20% of (mostly untreated) BD subjects end their life by suicide, and 20–60% of them attempt suicide at least one in their lifetime. In our paper we briefly recapitulate the current knowledge on the epidemiological aspects of suicide in BD as well as factors associated with suicidal risk in BD. Furthermore, we also discuss concisely the possible means of suicide prevention in BD.

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Treatment-Resistant Eating Disorders

Cited by 2 publications

References 38 publications

Modulation of resting-state functional connectivity in default mode network is associated with the long-term treatment outcome in major depressive disorder

Modulation of resting-state functional connectivity in default mode network is associated with the long-term treatment outcome in major depressive disorder

Suicide Risk in Bipolar Disorder: A Brief Review

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