Altered Whole‐Brain Functional Networks in Drug‐Naïve , First‐Episode Adolescents With Major Depression Disorder

2020 ◽  
Vol 52 (6) ◽  
pp. 1790-1798
Author(s):  
Baolin Wu ◽  
Xuekun Li ◽  
Jun Zhou ◽  
Meng Zhang ◽  
Qingyun Long
2021 ◽  
pp. 136178
Author(s):  
Mu-N Liu ◽  
Jakobus Gerick Pantouw ◽  
Kai-Chun Yang ◽  
Li-Yu Hu ◽  
Ying-Jay Liou ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Yiran Zhang ◽  
Yun Yang ◽  
Licheng Zhu ◽  
Qing Zhu ◽  
Yuxi Jia ◽  
...  

Background: Depression is a major psychiatric disorder and the leading cause of disability worldwide. Previous evidence suggested certain pattern of structural alterations were induced by major depression disorder (MDD) with heterogeneity due to patients' clinical characteristics and proposed that early impairment of fronto-limbic-striatal circuit was involved. Yet the hypothesis couldn't be replicated fully. Accordingly, this study aimed to validate this hypothesis in a new set of first-episode, drug naïve MDD patients and further explore the neuroimaging biomarker of illness severity using whole-brain voxel-based morphometry (VBM).Materials and Methods: A total of 93 participants, 30 patients with first-episode medication-naïve MDD, and 63 healthy controls were enrolled in the study. VBM was applied to analyze differences in the gray matter volume (GMV) between these two groups. The correlation between the GMV of the identified brain regions and the severity of clinical symptoms quantified by the Hamilton Depression Scale (HAMD) was further conducted in the post-hoc analysis to confirm the role of GMV structural alteration in clinical symptoms.Results: Our results revealed that the brain gray matter volume of the prefrontal lobe, limbic system, striatum, cerebellum, temporal lobe, and bilateral lingual gyri were significantly decreased in MDD patients compared with healthy controls. Besides, the HAMD scores were negatively correlated with GMV of the right insula and positively correlated with that of the right lingual gyrus.Conclusions: Our findings provide robust evidence that gray matter structural abnormalities within the prefronto-limbic-striatal circuit are implicated in the pathophysiology of MDD at an early stage without confounding influence of medication status. Besides, our data suggest that the cerebellum, lingual gyrus, and fusiform gyrus should also be integrated into the brain alterations in MDD. Future synthesis of individual neuroimaging studies and more advanced statistical analysis comparing subfields of the aforementioned regions are warranted to further shed light on the neurobiology of the disease and assist in the diagnosis of this burdensome disorder.


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257251
Author(s):  
Ana Cecília de Menezes Galvão ◽  
Raíssa Nobrega Almeida ◽  
Geovan Menezes de Sousa Júnior ◽  
Mário André Leocadio-Miguel ◽  
Fernanda Palhano-Fontes ◽  
...  

Background Molecular biomarkers are promising tools to be routinely used in clinical psychiatry. Among psychiatric diseases, major depression disorder (MDD) has gotten attention due to its growing prevalence and morbidity. Methods We tested some peripheral molecular parameters such as serum mature Brain-Derived Neurotrophic Factor (mBDNF), plasma C-Reactive Protein (CRP), serum cortisol (SC), and the salivary Cortisol Awakening Response (CAR), as well as the Pittsburgh sleep quality inventory (PSQI), as part of a multibiomarker panel for potential use in MDD diagnosis and evaluation of disease’s chronicity using regression models, and ROC curve. Results For diagnosis model, two groups were analyzed: patients in the first episode of major depression (MD: n = 30) and a healthy control (CG: n = 32). None of those diagnosis models tested had greater power than Hamilton Depression Rating Scale-6. For MDD chronicity, a group of patients with treatment-resistant major depression (TRD: n = 28) was tested across the MD group. The best chronicity model (p < 0.05) that discriminated between MD and TRD included four parameters, namely PSQI, CAR, SC, and mBDNF (AUC ROC = 0.99), with 96% of sensitivity and 93% of specificity. Conclusion These results indicate that changes in specific biomarkers (CAR, SC, mBDNF and PSQI) have potential on the evaluation of MDD chronicity, but not for its diagnosis. Therefore, these findings can contribute for further studies aiming the development of a stronger model to be commercially available and used in psychiatry clinical practice.


2013 ◽  
Vol 42 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Johanna Fiess ◽  
Astrid Steffen ◽  
Christian Pietrek ◽  
Brigitte Rockstroh

Theoretischer Hintergrund: Dissoziative Symptome treten bei verschiedenen psychischen Störungen auf und werden bei einigen Störungen mit traumatischen Erfahrungen assoziiert. Fragestellung: Wird der Zusammenhang zwischen dissoziativer Symptomatik und belastenden Erfahrungen moduliert durch die Art der Erfahrung und das Alter zum Zeitpunkt der Belastung? Methode: Bei 82 Patienten (Borderline-Persönlichkeitsstörung, BPS; Major Depression Disorder, MDD) und 54 gesunden Kontrollpersonen wurden per Interview belastende Erfahrungen während Kindheit und Jugend (3 – 16 Jahre) ermittelt. Zusammenhänge zwischen Belastung und dissoziativer Symptomatik wurden regressionsanalytisch unter Berücksichtigung von Diagnose und komorbider Posttraumatischer Belastungsstörung (PTBS) untersucht. Ergebnisse: Dissoziative Symptomatik korreliert bei BPD und MDD (mit komorbider PTBS) positiv mit emotionalem (neben sexuellem) Missbrauch und mit Belastungen in der Pubertät. Schlussfolgerung: Therapeutische Berücksichtigung emotionaler und pubertärer Belastung könnte die (Behandlung erschwerende) dissoziative Symptomatik reduzieren.


PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e82715 ◽  
Author(s):  
Guihua Jiang ◽  
Xue Wen ◽  
Yingwei Qiu ◽  
Ruibin Zhang ◽  
Junjing Wang ◽  
...  

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