TY - JOUR
T1 - Multimodal Neural Evidence on the Corticostriatal Underpinning of Suicidality in Late-Life Depression
AU - Shao, Robin
AU - Gao, Mengxia
AU - Lin, Chemin
AU - Huang, Chih Mao
AU - Liu, Ho Ling
AU - Toh, Cheng Hong
AU - Wu, Changwei
AU - Tsai, Yun Fang
AU - Qi, Di
AU - Lee, Shwu Hua
AU - Lee, Tatia M.C.
N1 - Publisher Copyright:
© 2022 Society of Biological Psychiatry
PY - 2022/9
Y1 - 2022/9
N2 - 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.
AB - 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.
KW - Caudate nucleus
KW - Dynamic causal modeling
KW - Late-life depression
KW - Magnetic resonance imaging
KW - Suicidality
KW - Ventrolateral prefrontal cortex
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U2 - 10.1016/j.bpsc.2021.11.011
DO - 10.1016/j.bpsc.2021.11.011
M3 - Article
C2 - 34861420
AN - SCOPUS:85124604092
SN - 2451-9022
VL - 7
SP - 905
EP - 915
JO - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
JF - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
IS - 9
ER -