双相情感障碍与精神分裂症的神经电生理研究进展
Research Progress of Neuroelectrophysiology in Bipolar Disorder and Schizophrenia
摘要: 双相情感障碍及精神分裂症都是精神科常见疾病,二者之间症状存在重叠交叉,诊断容易混淆。患者发病后都可能出现认知,情感等多方面障碍。且二者都有着一定的自伤自残风险,对患者的社会功能也具有严重影响。因此对于此类疾病的早期识别和干预是极为重要的。而目前对于电子计算机与神经科学的结合使对于脑科学的研究也有了新的发展。事件相关电位,磁共振成像和人工神经网络的应用成为了针对各类神经精神疾病识别的重要课题。本片综述围绕探讨上述两种疾病的电生理学研究进展,进而提出更有针对性的病情评估策略,对未来精神障碍的诊断的客观化的依据提供线索。
Abstract: Bipolar disorder and schizophrenia are both common psychiatric disorders, and the symptoms overlap and overlap between the two, and the diagnosis is easily confused. Patients may develop cognitive, emotional, and other disorders after the onset of the disease. Both of them have a certain risk of self-injury and self-injury, and also have a serious impact on the social function of patients. Therefore, early identification and intervention of such diseases are extremely important. At present, the combination of computer science and neuroscience has led to new developments in the research of brain science. The application of event-related potentials, magnetic resonance imaging and artificial neural networks has become an important topic for the identification of various neuropsychiatric diseases. This review focuses on the progress of electrophysiology research on the above two diseases, and then proposes more targeted disease assessment strategies, so as to provide clues for the objectification of the diagnosis of mental disorders in the future.
文章引用:陈家慧, 傅松年. 双相情感障碍与精神分裂症的神经电生理研究进展[J]. 临床医学进展, 2024, 14(4): 192-197. https://doi.org/10.12677/acm.2024.1441005

参考文献

[1] Tahir, Y., Yang, Z., et al. (2019) Non-Verbal Speech Cues as Objective Measures for Negative Symptoms in Patients with Schizophrenia. PLOS ONE, 14, e0214314. [Google Scholar] [CrossRef] [PubMed]
[2] Charlson, F.J., Ferrari, A.J., Santomauro, D.F., et al. (2018) Global Epidemiology and Burden of Schizophrenia: Findings from the Global Burden of Disease Study 2016. Schizophrenia Bulletin, 44, 1195-1203. [Google Scholar] [CrossRef] [PubMed]
[3] Lewine, R. and Hart, M. (2020) Schizophrenia Spectrum and Other Psychotic Disorders. In: Handbook of Clinical Neurology, Vol. 175, Elsevier, Amsterdam, 315-333. [Google Scholar] [CrossRef
[4] Baygin, M., Barua, P.D., Chakraborty, S., et al. (2023) CCPNet136: Automated Detection of Schizophrenia Using Carbon Chain Pattern and Iterative TQWT Technique with EEG Signals. Physiological Measurement, 44, Article ID: 035008. [Google Scholar] [CrossRef] [PubMed]
[5] Bonnín, C.D.M., Reinares, M., Martínez-Arán, A., et al. (2019) Improving Functioning, Quality of Life, and Well-Being in Patients with Bipolar Disorder. International Journal of Neuropsychopharmacology, 22, 467-477. [Google Scholar] [CrossRef] [PubMed]
[6] Wada, M., Kurose, S., Miyazaki, T., et al. (2019) The P300 Event-Related Potential in Bipolar Disorder: A Systematic Review and Meta-Analysis. Journal of Affective Disorders, 256, 234-249. [Google Scholar] [CrossRef] [PubMed]
[7] Xu, Y., Chai, H., Zhang, B., et al. (2016) Event-Related Potentials Elicited By the Deutsch “High-Low” Word Illusion in the Patients with First-Episode Schizophrenia with Auditory Hallucinations. BMC Psychiatry, 16, Article No. 33. [Google Scholar] [CrossRef] [PubMed]
[8] Zhang, Y., Yang, T., He, Y., et al. (2023) Value of P300 Amplitude in the Diagnosis of Untreated First-Episode Schizophrenia and Psychosis Risk Syndrome in Children and Adolescents. BMC Psychiatry, 23, Article No. 743. [Google Scholar] [CrossRef] [PubMed]
[9] Mathalon, D.H., Ford, J.M. and Pfefferbaum, A. (2000) Trait and State Aspects of P300 Amplitude Reduction in Schizophrenia: A Retrospective Longitudinal Study. Biological Psychiatry, 47, 434-449. [Google Scholar] [CrossRef
[10] Bersani, F.S., Minichino, A., Fattapposta, F., et al. (2015) P300 Component in Euthymic Patients with Bipolar Disorder Type I, Bipolar Disorder Type II and Healthy Controls. NeuroReport, 26, 206-210. [Google Scholar] [CrossRef
[11] Symms, M. (2004) A Review of Structural Magnetic Resonance Neuroimaging. Journal of Neurology, Neurosurgery & Psychiatry, 75, 1235-1244. [Google Scholar] [CrossRef] [PubMed]
[12] Jacobsen, L.K., Giedd, J.N., Berquin, P.C., et al. (1997) Quantitative Morphology of the Cerebellum and Fourth Ventricle in Childhood-Onset Schizophrenia. American Journal of Psychiatry, 154, 1663-1669. [Google Scholar] [CrossRef] [PubMed]
[13] Spalletta, G., Piras, F., Piras, F., et al. (2014) The Structural Neuroanatomy of Metacognitive Insight in Schizophrenia and Its Psychopathological and Neuropsychological Correlates. Human Brain Mapping, 35, 4729-4740. [Google Scholar] [CrossRef] [PubMed]
[14] Walton, E., Hibar, D.P., Van Erp, T.G.M., et al. (2017) Prefrontal Cortical Thinning Links to Negative Symptoms in Schizophrenia via the ENIGMA Consortium. Psychological Medicine, 48, 82-94. [Google Scholar] [CrossRef
[15] Godwin, D., Alpert, K.I., Wang, L., et al. (2018) Regional Cortical Thinning in Young Adults with Schizophrenia but Not Psychotic or Non-Psychotic Bipolar I Disorder. International Journal of Bipolar Disorders, 6, Article No. 16. [Google Scholar] [CrossRef] [PubMed]
[16] Frangou, S. (2019) Neuroimaging Markers of Risk, Disease Expression, and Resilience to Bipolar Disorder. Current Psychiatry Reports, 21, Article No. 52. [Google Scholar] [CrossRef] [PubMed]
[17] Maletic, V. and Raison, C. (2014) Integrated Neurobiology of Bipolar Disorder. Frontiers in Psychiatry, 5, Article No. 98. [Google Scholar] [CrossRef] [PubMed]
[18] Joshi, S.H., Vizueta, N., Foland-Ross, L., et al. (2016) Relationships between Altered Functional Magnetic Resonance Imaging Activation and Cortical Thickness in Patients with Euthymic Bipolar I Disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1, 507-517. [Google Scholar] [CrossRef] [PubMed]
[19] Zhuo, C., Li, G., Lin, X., et al. (2020) Strategies to Solve the Reverse Inference Fallacy in Future MRI Studies of Schizophrenia: A Review. Brain Imaging and Behavior, 15, 1115-1133. [Google Scholar] [CrossRef] [PubMed]
[20] Bethlehem, R.A.I., Seidlitz, J., White, S.R., et al. (2022) Brain Charts for the Human Lifespan. Nature, 604, 525-533. [Google Scholar] [CrossRef] [PubMed]
[21] World Health Organization (2022) World Mental Health Report: Transforming Mental Health for All: Executive Summary. World Health Organization, Geneva.
[22] Baygin, M., Yaman, O., Tuncer, T., et al. (2021) Automated Accurate Schizophrenia Detection System Using Collatz Pattern Technique with EEG Signals. Biomedical Signal Processing and Control, 70, Article ID: 102936. [Google Scholar] [CrossRef
[23] 韦梦莹, 李琳玲, 黄淦, 等. 深度学习算法在脑电信号解码中的应用[J]. 中国生物医学工程学报, 2019, 38(4): 464-472.
[24] Zhu, Y., Zhu, G., Li, B., et al. (2022) Abnormality of Functional Connections in the Resting State Brains of Schizophrenics. Frontiers in Human Neuroscience, 16, Article ID: 799881. [Google Scholar] [CrossRef] [PubMed]
[25] Teixeira, F.L., Costa, M.R.E., Abreu, J.P., et al. (2023) A Narrative Review of Speech and EEG Features for Schizophrenia Detection: Progress and Challenges. Bioengineering, 10, Article No. 493. [Google Scholar] [CrossRef] [PubMed]
[26] Vellante, F., Ferri, F., Baroni, G., et al. (2020) Euthymic Bipolar Disorder Patients and EEG Microstates: A Neural Signature of Their Abnormal Self Experience? Journal of Affective Disorders, 272, 326-334. [Google Scholar] [CrossRef] [PubMed]
[27] Chan, M.-S., Chung, K.-F., Yung, K.-P., et al. (2017) Sleep in Schizophrenia: A Systematic Review and Meta-Analysis of Polysomnographic Findings in Case-Control Studies. Sleep Medicine Reviews, 32, 69-84. [Google Scholar] [CrossRef] [PubMed]
[28] Kaskie, R.E. and Ferrarelli, F. (2020) Sleep Disturbances in Schizophrenia: What We Know, What Still Needs to Be Done. Current Opinion in Psychology, 34, 68-71. [Google Scholar] [CrossRef] [PubMed]
[29] Clementz, B.A., Sponheim, S.R., Iacono, W.G. and Beiser, M. (1994) Resting EEG in First-Episode Schizophrenia Patients, Bipolar Psychosis Patients, and Their First-Degree Relatives. Psychophysiology, 31, 486-494. [Google Scholar] [CrossRef] [PubMed]
[30] Venables, N.C., Bernat, E.M. and Sponheim, S.R. (2008) Genetic and Disorder-Specific Aspects of Resting State EEG Abnormalities in Schizophrenia. Schizophrenia Bulletin, 35, 826-839. [Google Scholar] [CrossRef] [PubMed]
[31] Kam, J.W.Y., Bolbecker, A.R., O’donnell, B.F., et al. (2013) Resting State EEG Power and Coherence Abnormalities in Bipolar Disorder and Schizophrenia. Journal of Psychiatric Research, 47, 1893-1901. [Google Scholar] [CrossRef] [PubMed]