Resting-State Functional Magnetic Resonance Image to Analyze Electrical Biological Characteristics of Major Depressive Disorder Patients with Suicide Ideation

Overview

Journal Comput Math Methods Med

Publisher Hindawi

Specialty Medical Informatics

Date 2022 Jun 23

PMID 35734778

Authors

Cui He

Yeyan Wang

Hanping Bai

Ruiting Li

Xiangming Fang

Affiliations

Soon will be listed here.

Abstract

The study was aimed to explore the brain imaging characteristics of major depressive disorder (MDD) patients with suicide ideation (SI) through resting-state functional magnetic resonance imaging (rs-fMRI) and to investigate the potential neurobiological role in the occurrence of SI. 50 MDD patients were selected as the experimental group and 50 healthy people as the control group. The brain images of the patients were obtained by MRI. Extraction of EEG biological features was from rs-fMRI images. Since MRI images were disturbed by noise, the initial clustering center of FCM was determined by particle swarm optimization algorithm so that the noise of the collected images was cleared by adaptive median filtering. Then, the image images were processed by the optimized model. The correlation between brain mALFF and clinical characteristics was analyzed. It was found that the segmentation model based on the FCM algorithm could effectively eliminate the noise points in the image; that the zALFF values of the right superior temporal gyrus (R-STG), left middle occipital gyrus (L-MOG), and left middle temporal gyrus (L-MTG) in the observation group were significantly higher than those in the control group ( < 0.05); and that the average zALFF values of left thalamus (L-THA) and left middle frontal gyrus (L-MFG) decreased. The mean zALFF values of L-MFG and L-SFG demonstrated good identification value for SI in MDD patients. In summary, MRI images based on FCM had a good convergence rate, and electrical biological characteristics of brain regions were abnormal in MDD patients with SI, which can be applied to the diagnosis and treatment of patients with depression in clinical practice.

References

Proctor C, Best L . Social and psychological influences on satisfaction with life after brain injury. Disabil Health J. 2019; 12(3):387-393. DOI: 10.1016/j.dhjo.2019.01.001. View

Lan M, Rizk M, Pantazatos S, Rubin-Falcone H, Miller J, Sublette M . Resting-state amplitude of low-frequency fluctuation is associated with suicidal ideation. Depress Anxiety. 2019; 36(5):433-441. PMC: 6488362. DOI: 10.1002/da.22888. View

Chen M, Lin W, Tu P, Li C, Bai Y, Tsai S . Antidepressant and antisuicidal effects of ketamine on the functional connectivity of prefrontal cortex-related circuits in treatment-resistant depression: A double-blind, placebo-controlled, randomized, longitudinal resting fMRI study. J Affect Disord. 2019; 259:15-20. DOI: 10.1016/j.jad.2019.08.022. View

Rotenstein L, Ramos M, Torre M, Segal J, Peluso M, Guille C . Prevalence of Depression, Depressive Symptoms, and Suicidal Ideation Among Medical Students: A Systematic Review and Meta-Analysis. JAMA. 2016; 316(21):2214-2236. PMC: 5613659. DOI: 10.1001/jama.2016.17324. View

Li J, Duan X, Cui Q, Chen H, Liao W . More than just statics: temporal dynamics of intrinsic brain activity predicts the suicidal ideation in depressed patients. Psychol Med. 2018; 49(5):852-860. DOI: 10.1017/S0033291718001502. View

Rizk M, Rubin-Falcone H, Lin X, Keilp J, Miller J, Milak M . Gray matter volumetric study of major depression and suicidal behavior. Psychiatry Res Neuroimaging. 2018; 283:16-23. PMC: 6379131. DOI: 10.1016/j.pscychresns.2018.11.007. View

Dichter G, Gibbs D, Smoski M . A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder. J Affect Disord. 2014; 172:8-17. PMC: 4375066. DOI: 10.1016/j.jad.2014.09.028. View

Chen V, Kao C, Tsai Y, Cheok M, McIntyre R, Weng J . Assessment of Disrupted Brain Structural Connectome in Depressive Patients With Suicidal Ideation Using Generalized Q-Sampling MRI. Front Hum Neurosci. 2021; 15:711731. PMC: 8430248. DOI: 10.3389/fnhum.2021.711731. View

Wagner G, Li M, Sacchet M, Richard-Devantoy S, Turecki G, Bar K . Functional network alterations differently associated with suicidal ideas and acts in depressed patients: an indirect support to the transition model. Transl Psychiatry. 2021; 11(1):100. PMC: 7862288. DOI: 10.1038/s41398-021-01232-x. View

10.

Sun Y, Blumberger D, Mulsant B, Rajji T, Fitzgerald P, Barr M . Magnetic seizure therapy reduces suicidal ideation and produces neuroplasticity in treatment-resistant depression. Transl Psychiatry. 2018; 8(1):253. PMC: 6251931. DOI: 10.1038/s41398-018-0302-8. View

11.

Zhang R, Wei S, Chang M, Jiang X, Tang Y, Wang F . Dorsolateral and ventrolateral prefrontal cortex structural changes relative to suicidal ideation in patients with depression. Acta Neuropsychiatr. 2019; 32(2):84-91. DOI: 10.1017/neu.2019.45. View

12.

Ducharme S, Dols A, Laforce R, Devenney E, Kumfor F, Van den Stock J . Recommendations to distinguish behavioural variant frontotemporal dementia from psychiatric disorders. Brain. 2020; 143(6):1632-1650. PMC: 7849953. DOI: 10.1093/brain/awaa018. View

13.

Hu M, Zhong Y, Xie S, Lv H, Lv Z . Fuzzy System Based Medical Image Processing for Brain Disease Prediction. Front Neurosci. 2021; 15:714318. PMC: 8361453. DOI: 10.3389/fnins.2021.714318. View

14.

Li H, Chen Z, Gong Q, Jia Z . Voxel-wise meta-analysis of task-related brain activation abnormalities in major depressive disorder with suicide behavior. Brain Imaging Behav. 2019; 14(4):1298-1308. DOI: 10.1007/s11682-019-00045-3. View

15.

Dolsen E, Cheng P, Arnedt J, Swanson L, Casement M, Kim H . Neurophysiological correlates of suicidal ideation in major depressive disorder: Hyperarousal during sleep. J Affect Disord. 2017; 212:160-166. PMC: 5361570. DOI: 10.1016/j.jad.2017.01.025. View

16.

Hedley D, Uljarevic M, Foley K, Richdale A, Trollor J . Risk and protective factors underlying depression and suicidal ideation in Autism Spectrum Disorder. Depress Anxiety. 2018; 35(7):648-657. DOI: 10.1002/da.22759. View

17.

Basta M, Micheli K, Karakonstantis S, Koutra K, Dafermos V, Drakaki M . Suicidal ideation in adolescents and young adults in Greece: prevalence and association with sociodemographic variables, mental health and substance use. Eur Child Adolesc Psychiatry. 2021; 30(7):1129-1136. DOI: 10.1007/s00787-021-01747-0. View

18.

Zhou T, Thung K, Liu M, Shi F, Zhang C, Shen D . Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Med Image Anal. 2020; 60:101630. PMC: 8260095. DOI: 10.1016/j.media.2019.101630. View

19.

Yu X, Yang L, Song R, Jiaerken Y, Yang J, Lou M . Changes in structure and perfusion of grey matter tissues during recovery from Ischaemic subcortical stroke: a longitudinal MRI study. Eur J Neurosci. 2017; 46(7):2308-2314. DOI: 10.1111/ejn.13669. View

20.

Zhang J, Ma Z . Hybrid Fuzzy Clustering Method Based on FCM and Enhanced Logarithmical PSO (ELPSO). Comput Intell Neurosci. 2020; 2020:1386839. PMC: 7104327. DOI: 10.1155/2020/1386839. View