Harim Jeong, Tianqi Luo, Minjoo Kang, William Frederick Garvey, George Blankenau, Ji-Woo Suk, Mohadese Tarzaben, Soonjo Hwang
{"title":"青少年抑郁症的神经影像学发现:研究领域标准(RDoC)框架的回顾。","authors":"Harim Jeong, Tianqi Luo, Minjoo Kang, William Frederick Garvey, George Blankenau, Ji-Woo Suk, Mohadese Tarzaben, Soonjo Hwang","doi":"10.1016/j.pscychresns.2024.111917","DOIUrl":null,"url":null,"abstract":"<p><p>This review examines neuroimaging studies on adolescent depression (AD) within the Research Domain Criteria (RDoC) framework, focusing on fMRI, DTI, and EEG findings. The research highlights disrupted connectivity in several neural networks-such as the affective, reward processing, cognitive control, and default mode networks-that underpin emotional and cognitive dysfunctions in AD. Notably, hypoconnectivity in the affective and cognitive control networks correlates with deficits in emotional processing and executive functioning, while hyperactivity in the default mode network relates to excessive self-referential thoughts. Additionally, blunted reward responses and frontal-striatal connectivity are discussed alongside the therapeutic potential of cognitive behavioral therapy (CBT) to modulate these dysfunctional circuits. Despite these insights, variability in findings due to small sample sizes and diverse methodologies suggests a need for further research to validate neuroimaging biomarkers for treatment efficacy and to explore less studied treatments like ECT and TMS in this population. This review underscores the importance of integrating neuroimaging findings to enhance understanding and treatment of AD.</p>","PeriodicalId":20776,"journal":{"name":"Psychiatry Research: Neuroimaging","volume":"347 ","pages":"111917"},"PeriodicalIF":2.1000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neuroimaging findings of adolescent depression: A review by the Research Domain Criteria (RDoC) framework.\",\"authors\":\"Harim Jeong, Tianqi Luo, Minjoo Kang, William Frederick Garvey, George Blankenau, Ji-Woo Suk, Mohadese Tarzaben, Soonjo Hwang\",\"doi\":\"10.1016/j.pscychresns.2024.111917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This review examines neuroimaging studies on adolescent depression (AD) within the Research Domain Criteria (RDoC) framework, focusing on fMRI, DTI, and EEG findings. The research highlights disrupted connectivity in several neural networks-such as the affective, reward processing, cognitive control, and default mode networks-that underpin emotional and cognitive dysfunctions in AD. Notably, hypoconnectivity in the affective and cognitive control networks correlates with deficits in emotional processing and executive functioning, while hyperactivity in the default mode network relates to excessive self-referential thoughts. Additionally, blunted reward responses and frontal-striatal connectivity are discussed alongside the therapeutic potential of cognitive behavioral therapy (CBT) to modulate these dysfunctional circuits. Despite these insights, variability in findings due to small sample sizes and diverse methodologies suggests a need for further research to validate neuroimaging biomarkers for treatment efficacy and to explore less studied treatments like ECT and TMS in this population. This review underscores the importance of integrating neuroimaging findings to enhance understanding and treatment of AD.</p>\",\"PeriodicalId\":20776,\"journal\":{\"name\":\"Psychiatry Research: Neuroimaging\",\"volume\":\"347 \",\"pages\":\"111917\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychiatry Research: Neuroimaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.pscychresns.2024.111917\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychiatry Research: Neuroimaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.pscychresns.2024.111917","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Neuroimaging findings of adolescent depression: A review by the Research Domain Criteria (RDoC) framework.
This review examines neuroimaging studies on adolescent depression (AD) within the Research Domain Criteria (RDoC) framework, focusing on fMRI, DTI, and EEG findings. The research highlights disrupted connectivity in several neural networks-such as the affective, reward processing, cognitive control, and default mode networks-that underpin emotional and cognitive dysfunctions in AD. Notably, hypoconnectivity in the affective and cognitive control networks correlates with deficits in emotional processing and executive functioning, while hyperactivity in the default mode network relates to excessive self-referential thoughts. Additionally, blunted reward responses and frontal-striatal connectivity are discussed alongside the therapeutic potential of cognitive behavioral therapy (CBT) to modulate these dysfunctional circuits. Despite these insights, variability in findings due to small sample sizes and diverse methodologies suggests a need for further research to validate neuroimaging biomarkers for treatment efficacy and to explore less studied treatments like ECT and TMS in this population. This review underscores the importance of integrating neuroimaging findings to enhance understanding and treatment of AD.
期刊介绍:
The Neuroimaging section of Psychiatry Research publishes manuscripts on positron emission tomography, magnetic resonance imaging, computerized electroencephalographic topography, regional cerebral blood flow, computed tomography, magnetoencephalography, autoradiography, post-mortem regional analyses, and other imaging techniques. Reports concerning results in psychiatric disorders, dementias, and the effects of behaviorial tasks and pharmacological treatments are featured. We also invite manuscripts on the methods of obtaining images and computer processing of the images themselves. Selected case reports are also published.