Now, bibliometric methods in Citespace have been widely used in medical fields, such as acupuncture and regenerative medicine. However, despite progress in the use of MRI to study mood disorders, accompanying bibliometric analysis is lacking.īibliometrics is a statistical analysis and quantitative tool for identifying research hotspots and frontiers in a particular field within a short time by extracting quantitative information on study distributions by country/region, institution, author, and journal. Advances in this technology will enable quantification of biochemical components of a functioning brain that are not detectable. In particular, MRI is now widely used to evaluate mood disorders, such as depression and premenstrual dysphoric disorder. However, magnetic resonance imaging (MRI), one of the neuroimaging techniques that are widely used in neuroscience to visualize neural activities, and to identify mental disease biomarkers has unique advantages. There are various clinical imaging techniques, such as PET, DTI, ASL, and 1H-MRS. Advances in in vivo neuroimaging techniques have, therefore, greatly improved our understanding of mood disorder pathophysiology. Neuroimaging has revealed that brain networks that control emotional behaviors can also influence mood disorder pathophysiology. These structures modulate an individual’s emotional and cognitive function, and mood disorder manifestation. In affective disorders, brain morphological alterations largely occur on the fronto-limbic cortex, hippocampus and amygdala. Therefore, mood disorders may result from negative feelings that leave a lasting influence on mental processes associated with perception, cognition and motor systems. Moreover, it is influenced by genetic and environmental factors that may disrupt neurotransmitter homeostasis. The pathophysiology of mood disorders is complex and not properly elucidated. Previous studies have reported the clinical prevalence of mood disorders, with children, adolescents, elderly people and patients with neurological conditions being prone to depressive disorders. Globally, mood disorders affect > 300 million people with devastating consequences. This group of disorders include depression, bipolar disorder, premenstrual syndrome, premenstrual dysphoric disorder, and the autism spectrum of disorders among others. Mood disorders are a class of psychiatric conditions that alter moods, energy and motivation. Conclusionīrain structure and network, sex differences, and treatment-associated brain changes are key topics of future research. Keyword analysis indicated that studies on depression, bipolar disorders, and schizophrenia, with a focus on specific brain regions, including amygdala, prefrontal cortex and anterior cingulate cortex are key research topics. Biological psychiatry is the core journal that has extensively published on this topic, while the UNIV PITTSBURGH, USA, has the highest published papers on this topic. Since it was first reported in 1999, the use of magnetic resonance imaging in studies on mood disorders has been increasing. The bibliometric method, CiteSpace V and key words analysis were used to visualize the collaboration network and identify research trends, respectively. Data extracted from these publications include, publication year, journal names, countries of origin, institutions, author names and research areas. MethodsĪ literature search in the web of science core collection (WoSCC) for the period between 19 returned 3073 results. However, bibliometric analyses of the state of this field are lacking. Globally, mood disorders are highly prevalent, and are associated with increased morbidity and mortalities. Magnetic resonance imaging is widely used in the study of mood disorders.
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