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Zhang Y, Li B, Zhang L, Cheng A, Long S, Wang J, Wen M, Li K, Liu C. Prefrontal brain activity and self-injurious behavior in adolescents with major depressive disorder: A functional near-infrared spectroscopy (fNIRS) study. J Psychiatr Res 2024; 176:248-253. [PMID: 38897055 DOI: 10.1016/j.jpsychires.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 05/25/2024] [Accepted: 06/04/2024] [Indexed: 06/21/2024]
Abstract
In clinical practice, accurately identifying self-injurious behavior among adolescents with major depressive disorder (MDD) is crucial for individualized treatment. This study aimed to examine the differences in prefrontal cortex activation using the functional near-infrared spectroscopy (fNIRS) during the verbal fluency task (VFT) assessment of adolescents with MDD and self-harm (SH) compared with those without SH. A total of 60 eligible patients were included for final analysis, with the SH group containing 36 participants, and the Non-SH group containing 24 participants. We found that right middle frontal gyrus (rMFG) was more activated in the SH group than that in the Non-SH group during the VFT assessments (z = -3.591, p = 0.004, FDR correction). The z-scores of beta values of rMFG exhibited a good discriminatory power with the area under the curve (AUC) in distinguishing the two groups (AUC = 0.775, p < 0.001). These findings reveal that the fNIRS-VFT paradigm may be a useful tool for discovering neurobiological differences among adolescents with MDD.
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Affiliation(s)
- Yunshu Zhang
- Clinical Medicine College, Hebei University, Baoding, China; Hebei Provincial Mental Health Center, Baoding, China
| | - Bing Li
- Clinical Medicine College, Hebei University, Baoding, China; Hebei Provincial Mental Health Center, Baoding, China
| | - Lili Zhang
- Hebei Provincial Mental Health Center, Baoding, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, China; The Sixth Clinical Medical College of Hebei University, Baoding, China
| | - Aobo Cheng
- Hebei Provincial Mental Health Center, Baoding, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, China; The Sixth Clinical Medical College of Hebei University, Baoding, China
| | - Shuaiyu Long
- Hebei Provincial Mental Health Center, Baoding, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, China; The Sixth Clinical Medical College of Hebei University, Baoding, China
| | - Jie Wang
- Hebei Provincial Mental Health Center, Baoding, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, China; The Sixth Clinical Medical College of Hebei University, Baoding, China
| | - Min Wen
- Hebei Provincial Mental Health Center, Baoding, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, China; The Sixth Clinical Medical College of Hebei University, Baoding, China
| | - Keqing Li
- Hebei Provincial Mental Health Center, Baoding, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, China; The Sixth Clinical Medical College of Hebei University, Baoding, China.
| | - Chaomeng Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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Kim S, Yoon H, Shin J, Yang CM. Classification of fNIRS signals from adolescents with MDD in suicide high- and low-risk groups using machine learning. J Affect Disord 2023; 340:379-386. [PMID: 37536425 DOI: 10.1016/j.jad.2023.07.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 08/05/2023]
Abstract
Prefrontal cortex activation is attenuated during cognitive tasks in patients with suicidal ideation or major depressive disorder (MDD). However, the apparent relationship between patients with MDD, especially suicide high-risk (SHR) adolescents, and the characteristics of their hemodynamic responses has not yet been elucidated. To investigate this relationship, we recruited 30 patients with MDD aged 13-19. Functional near-infrared spectroscopy (fNIRS) data were collected for all patients during a Stroop test. Through a ten-time iterative leave-one-out cross-validation via 1000 iterative random search-based feature selections, we achieved a generalized classification accuracy of 70.3±5.0 % (from min. 63.3 % to max. 76.7 %). From the results of random search-based feature selection, Ch08oxy and Ch09deoxy were identified as the two most relevant fNIRS channels. This finding implies that these fNIRS channels can be used as neurological biomarkers to distinguish SHR adolescents with MDD from suicide low-risk (SLR) adolescents. In addition, we determined the oxy-Hb channels of the SHR group, except for Ch01oxy, Ch02oxy, Ch11oxy, and Ch14oxy, were hyperactivated compared to the SLR group.
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Affiliation(s)
- Seonghyeon Kim
- Department of Psychiatry, School of Medicine, Wonkwang University, Iksan 54538, Republic of Korea
| | - Haram Yoon
- Department of Psychiatry, School of Medicine, Wonkwang University, Iksan 54538, Republic of Korea
| | - Jaeyoung Shin
- Department of Electronic Engineering, Wonkwang University, Iksan 54538, Republic of Korea.
| | - Chan-Mo Yang
- Department of Psychiatry, School of Medicine, Wonkwang University, Iksan 54538, Republic of Korea.
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Dorsolateral prefrontal activation in depressed young adults with and without suicidal ideation during an emotional autobiographical memory task: A fNIRS study. J Affect Disord 2023; 326:216-224. [PMID: 36736791 DOI: 10.1016/j.jad.2023.01.115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/20/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023]
Abstract
OBJECTIVE Previous studies have proved that there is a strong association between dorsolateral prefrontal cortex and mood symptoms. This study aimed at using functional near-infrared spectroscopy technology to invest brain activity in dlPFC of depressed individuals with and without suicidal ideation during emotional autobiographical memory test, and to understand their differences in brain cognitive mechanisms. It is helpful to improve our ability to predict and subsequently to prevent suicide. METHODS 85 young adults participated in the study by a simple random sampling method, with health control (34participants), depression with suicidal ideation (17participants), and depression without suicidal ideation (34participants). The average oxyhemoglobin in dlPFC of subjects during EAMT was collected by a 53-channel fNIRS imaging device. RESULTS A marginal significant difference was found between three groups in left dlPFC and right dlPFC. Post hoc analysis revealed that: (1) under negative emotion, depression without suicidal ideation group had higher activation than healthy control group in left dlPFC. (2) under positive emotion, depression with suicidal ideation group had lower activation than healthy control in right dlPFC. CONCLUSIONS Results indicated that the depressed individuals with suicidal ideation had some deficits in executive function in right dlPFC, while the depressed adults without suicidal ideation may have mechanism of resource compensatory recruitment in left dlPFC and the dlPFC abnormality involved in the pathophysiology, may localize within left hemisphere. The depressed individuals with and without suicidal ideation had the different mechanisms in dlPFC and fNIRS can be a neuroimaging biomarker characterizing or predicting suicidality in depressed individuals.
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Liu H, Wen Y, Liang X, Xu Y, Qiao D, Yang C, Han M, Li H, Ren T, Zhang X, Li G, Liu Z. Prefrontal cortex neural activity predicts reduction of non-suicidal self-injury in adolescents with major depressive disorder: An event related potential study. Front Neurosci 2022; 16:972870. [PMID: 36408379 PMCID: PMC9671107 DOI: 10.3389/fnins.2022.972870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 09/15/2022] [Indexed: 11/06/2022] Open
Abstract
Background Non-suicidal self-injury (NSSI) is common in adolescent MDD, which is also a risk factor for suicide. However, there is few research on biomarkers and predictors about treatment response of NSSI. The purpose of this study was to find the difference of P300 between adolescent MDD with NSSI and healthy controls, and to explore whether the baseline electrophysiological level can predict the change of NSSI after treatment. Methods We collected 62 first-episode drug-naïve MDD adolescents with NSSI (MDD with NSSI group) and 44 healthy controls (HC group). The demographic data, HAMD score, self-injury frequency and electrophysiological level of NSSI group and HC group were collected. The HAMD score, frequency of NSSI in was also collected after 8 weeks of antidepressant treatment. Results Compared to HC, the latency of the N2, P3a, and P3b components were significantly prolonged, whereas the amplitude of P3a and P3b were decreased in the MDD with NSSI group (P < 0.001). The frequency of self-injury decreased significantly after treatment (P < 0.001). Regression analysis showed that the amplitudes of P3b had a significant positive predictive effect on the rate of change of NSSI frequency after 8 weeks. Conclusion P3b at baseline can be used as potential predictor for the reduction of NSSI in adolescent MDD.
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Guo X, Jia J, Zhang Z, Miao Y, Wu P, Bai Y, Ren Y. Metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder. BMC Psychiatry 2022; 22:491. [PMID: 35869468 PMCID: PMC9306041 DOI: 10.1186/s12888-022-04079-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/20/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Non-suicidal self-injury (NSSI) is an important symptom of bipolar disorder (BD) and other mental disorders and has attracted the attention of researchers lately. It is of great significance to study the characteristic markers of NSSI. Metabolomics is a relatively new field that can provide complementary insights into data obtained from genomic, transcriptomic, and proteomic analyses of psychiatric disorders. The aim of this study was to identify the metabolic pathways associated with BD with NSSI and assess important diagnostic and predictive indices of NSSI in BD. METHOD Nuclear magnetic resonance spectrometry was performed to evaluate the serum metabolic profiles of patients with BD with NSSI (n = 31), patients with BD without NSSI (n = 46), and healthy controls (n = 10). Data were analyzed using an Orthogonal Partial Least Square Discriminant Analysis and a t-test. Differential metabolites were identified (VIP > 1 and p < 0.05), and further analyzed using Metabo Analyst 3.0 to identify associated metabolic pathways. RESULTS Eight metabolites in the serum and two important metabolic pathways, the urea and glutamate metabolism cycles, were found to distinguish patients with BD with NSSI from healthy controls. Eight metabolites in the serum, glycine and serine metabolism pathway, and the glucose-alanine cycle were found to distinguish patients with BD without NSSI from healthy controls. Five metabolites in the serum and the purine metabolism pathway were found to distinguish patients with BD with NSSI from those with BD without NSSI. CONCLUSIONS Abnormalities in the urea cycle, glutamate metabolism, and purine metabolism played important roles in the pathogenesis of BD with NSSI.
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Affiliation(s)
- Xiangjie Guo
- grid.263452.40000 0004 1798 4018Department of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Jiao Jia
- grid.470966.aDepartment of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 99 Longcheng street, Taiyuan, 030032 Shanxi China ,grid.412793.a0000 0004 1799 5032Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030 China
| | - Zhiyong Zhang
- grid.263452.40000 0004 1798 4018Department of Psychology, School of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, China
| | - Yuting Miao
- grid.263452.40000 0004 1798 4018Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Peng Wu
- grid.263452.40000 0004 1798 4018Department of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Yaqin Bai
- grid.263452.40000 0004 1798 4018Department of Forensic Medicine, Shanxi Medical University, Taiyuan, China
| | - Yan Ren
- Department of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 99 Longcheng street, Taiyuan, 030032, Shanxi, China. .,Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China. .,Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, Taiyuan, China.
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Lee YQ, Tay GWN, Ho CSH. Clinical Utility of Functional Near-Infrared Spectroscopy for Assessment and Prediction of Suicidality: A Systematic Review. Front Psychiatry 2021; 12:716276. [PMID: 34658955 PMCID: PMC8517226 DOI: 10.3389/fpsyt.2021.716276] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/07/2021] [Indexed: 12/25/2022] Open
Abstract
Introduction: Suicide is a pressing psychiatric concern worldwide with no established biomarker. While there is some evidence of the clinical utility of functional near-infrared spectroscopy (fNIRS) in assessing and predicting suicidality, no systematic review of such evidence has been conducted to date. Therefore, this review aimed to systematically review and gather evidence from existing studies that used fNIRS signals to assess suicidality and its associated changes in the brain, and those that examined how such signals correlated with suicide symptomatology. Methods: PubMed, EMBASE, and Cochrane Library databases were used in a systematic literature search for English-language articles published between 2000 and December 19, 2020 that focused on the utility of fNIRS for (i) assessing suicidality and its associated changes in the brain, and (ii) correlating with suicide symptomatology. Studies were included if they utilised fNIRS to evaluate variations in fNIRS-measured cerebral hemodynamic responses in patients with different mental disorders (e.g., major depressive disorder, schizophrenia), as well as in healthy controls, of any age group. Quality of evidence was assessed using the Newcastle-Ottawa quality assessment scale. Results: A total of 7 cross-sectional studies were included in this review, all of which had acceptable quality. Across all studies, fNIRS demonstrated reduced cerebral hemodynamic changes in suicidal individuals when compared to non-suicidal individuals. One study also demonstrated the potential of fNIRS signals in correlating with the severity of suicidality. Conclusions: This review provides a comprehensive, updated review of evidence supporting the clinical utility of fNIRS in the assessment and prediction of suicidality. Further studies involving larger sample sizes, standardised methodology, and longitudinal follow-ups are needed.
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Affiliation(s)
- Y Q Lee
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Gabrielle W N Tay
- Department of Psychological Medicine, National University Health System, Singapore, Singapore
| | - Cyrus S H Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Psychological Medicine, National University Health System, Singapore, Singapore
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