Advancing our understanding of emotional regulation with multimodal neuroimaging

Authors

  • Novi Susanti Sekolah Tinggi Ilmu Kesehatan Mitra Sejati, Sumatera Utara, Indonesia Author
  • Efi Satriana Silalahi Sekolah Tinggi Ilmu Kesehatan Mitra Sejati, Sumatera Utara, Indonesia Author

DOI:

https://doi.org/10.35335/82weyp94

Keywords:

Emotional Regulation, Multimodal Neuroimaging, Neural Mechanisms, Prefrontal Cortex, Psychiatric Disorders

Abstract

This Research examines the current state of research on the neural mechanisms underlying emotional regulation using multimodal neuroimaging techniques. A comprehensive search of databases including PubMed, Scopus, and PsycINFO yielded a total of 50 relevant studies. The review synthesized findings from studies employing functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET), and structural MRI to investigate the temporal dynamics, neural circuits, and neurochemical mechanisms involved in emotional regulation. Key findings highlight the involvement of prefrontal cortical regions, including the dorsolateral and ventromedial prefrontal cortex, in cognitive reappraisal and attentional control processes, as well as the role of subcortical structures such as the amygdala and anterior cingulate cortex in modulating emotional responses. Insights from structural and neurochemical imaging studies elucidate the structural correlates and neurotransmitter systems associated with emotional regulation abilities, offering potential biomarkers for assessing emotional well-being and predicting treatment outcomes in psychiatric disorders. The review underscores the importance of advancing neuroimaging techniques in understanding and treating emotional regulation disorders, offering new insights into the neural mechanisms underlying these conditions and paving the way for more effective and personalized interventions

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Published

2024-05-30

How to Cite

Advancing our understanding of emotional regulation with multimodal neuroimaging. (2024). BrainBridge: Neuroscience and Biomedical Engineering, 1(1), 68-83. https://doi.org/10.35335/82weyp94