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Multimodal Neural Evidence on the Corticostriatal Underpinning of Suicidality in Late-Life Depression.
Shao, Robin; Gao, Mengxia; Lin, Chemin; Huang, Chih-Mao; Liu, Ho-Ling; Toh, Cheng-Hong; Wu, Changwei; Tsai, Yun-Fang; Qi, Di; Lee, Shwu-Hua; Lee, Tatia M C.
Afiliação
  • Shao R; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong.
  • Gao M; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong.
  • Lin C; Department of Psychiatry, Chang Gung Memorial Hospital, Keelung, Taiwan; Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan; College of Medicine, Chang Gung University, Taoyuan County, Taiwan.
  • Huang CM; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan; Center for Intelligent Drug Systems and Smart Bio-devices, National Chiao Tung University, Taipei, Taiwan.
  • Liu HL; Department of Imaging Physics, University of Texas M D Anderson Cancer Center, Houston, Texas.
  • Toh CH; Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Linkou, Taoyuan County, Taiwan.
  • Wu C; Brain and Consciousness Research Center, Shuang-Ho Hospital, New Taipei, Taiwan; Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan.
  • Tsai YF; School of Nursing, College of Medicine, Chang Gung University, Taoyuan City, Taiwan; Department of Nursing, Chang Gung University of Science and Technology, Taoyuan City, Taiwan.
  • Qi D; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong.
  • Lee SH; College of Medicine, Chang Gung University, Taoyuan County, Taiwan; Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan County, Taiwan. Electronic address: shlee@cgmh.org.tw.
  • Lee TMC; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou
Article em En | MEDLINE | ID: mdl-34861420
ABSTRACT

BACKGROUND:

Suicidality involves thoughts (ideations and plans) and actions related to self-inflicted death. To improve management and prevention of suicidality, it is essential to understand the key neural mechanisms underlying suicidal thoughts and actions. Following empirically informed neural framework, we hypothesized that suicidal thoughts would be primarily characterized by alterations in the default mode network indicating disrupted self-related processing, whereas suicidal actions would be characterized by changes in the lateral prefrontal corticostriatal circuitries implicating compromised action control.

METHODS:

We analyzed the gray matter volume and resting-state functional connectivity of 113 individuals with late-life depression, including 45 nonsuicidal patients, 33 with suicidal thoughts but no action, and 35 with past suicidal action. Between-group analyses revealed key neural features associated with suicidality. The functional directionality of the identified resting-state functional connectivity was examined using dynamic causal modeling to further elucidate its mechanistic nature. Post hoc classification analysis examined the contribution of the neural measures to suicide classification.

RESULTS:

As expected, reduced gray matter volumes in the default mode network and lateral prefrontal regions characterized patients with suicidal thoughts and those with past suicidal actions compared with nonsuicidal patients. Furthermore, region-of-interest analyses revealed that the directionality and strength of the ventrolateral prefrontal cortex-caudate resting-state functional connectivity were related to suicidal thoughts and actions. The neural features significantly improved classification of suicidal thoughts and actions over that based on clinical and suicide questionnaire variables.

CONCLUSIONS:

Gray matter reductions in the default mode network and lateral prefrontal regions and the ventrolateral prefrontal cortex-caudate connectivity alterations characterized suicidal thoughts and actions in patients with late-life depression.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Suicídio / Ideação Suicida Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Biol Psychiatry Cogn Neurosci Neuroimaging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Hong Kong

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Suicídio / Ideação Suicida Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Biol Psychiatry Cogn Neurosci Neuroimaging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Hong Kong