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Translating progress in neuroscience into clinical benefits for patients with psychiatric disorders is challenging because it involves the brain as the most complex organ and its interaction with a complex environment and condition. Dealing with such complexity requires powerful techniques. Computational neuroscience approach to psychiatry integrates multiple levels and types of simulation, analysis and computation according to the different types of computational models to enhance comprehending, prediction and treatment of psychiatric disorder. This approach comprises two approaches: theory-driven and data-driven. In this review, we focus on recent advances in theory-driven approaches that mathematically and mechanistically examine the relationships between disorder-related changes and behavior at different level of brain organization. We discuss recent progresses in computational neuroscience models that relate to psychiatry and show how principles of neural computational modeling can be employed to explain psychopathology.

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기사명 저자명 페이지 원문 목차
(A) systematic review on cognitive effects of electroconvulsive therapy in Asian patients Yining Ong, Lai Gwen Chan p. 1-16

Psychobiotic therapy : method to reinforce the immune system Karina Teixeira Magalhães-Guedes p. 17-25

Computational neuroscience approach to psychiatry : a review on theory-driven approaches Ali Khaleghi, Mohammad Reza Mohammadi, Kian Shahi, Ali Motie Nasrabadi p. 26-36

(The) Korean medication algorithm project for depressive disorder 2021 : comparisons with other treatment guidelines Young Sup Woo, Won-Myong Bahk, Jeong Seok Seo, Young-Min Park, Won Kim, Jong-Hyun Jeong, Se-Hoon Shim, Jung Goo Lee, Seung-Ho Jang, Chan-Mo Yang ... [et al.] p. 37-50

Impact of social defeat stress on DNA methylation in Drd2, Nr3c1, and Stmn1 in wild-type and Stmn1 knock-out mice Young-Eun Oh, Thong Ba Nguyen, Fatima Zahra Rami, Maryam Karamikheirabad, Young-Chul Chung p. 51-60

Prescription patterns for bipolar disorder in Asian countries : findings from research on Asian prescription pattern-bipolar disorder Shih-Ku Lin, Shu-Yu Yang, Seon-Cheol Park, Ok-Jin Jang, Xiaomin Zhu, Yu-Tao Xiang, Wen-Chen Ouyang, Afzal Javed, M. Nasar Sayeed Khan, Sandeep Grover ... [et al.] p. 61-69

Long-term safety and efficacy of esketamine nasal spray plus an oral antidepressant in patients with treatment-resistant depression : an Asian sub-group analysis from the SUSTAIN-2 study Hong Jin Jeon, Po-Chung Ju, Ahmad Hatim Sulaiman, Salina Abdul Aziz, Jong-Woo Paik, Wilson Tan, Daisy Bai, Cheng-Ta Li p. 70-86

Effect of self-administered transcranial direct stimulation in patients with major depressive disorder : a randomized, single-blinded clinical trial Jihoon Oh, Kuk-In Jang, Sekye Jeon, Jeong-Ho Chae p. 87-96

Anxiety, depression and burnout levels of Turkish healthcare workers at the end of the first period of COVID-19 pandemic in Turkey Burak Uz, Esra Savaşan, Dila Soğancı p. 97-108

Increased serum level of CCL5 in children with attention-deficit/hyperactivity disorder : first results about serum chemokines Ahmet Özaslan, Esra Güney, Özlem Gülbahar, Dicle Büyüktaskin, Burak Arslan p. 109-117

(The) impact of long-acting paliperidone in reducing hospitalizations and clinical severity in recent onset schizophrenia : a mirror-image study in real-world clinical setting Vjekoslav Peitl, Branka Aukst Margetić, Branka Vidrih, Dalibor Karlović p. 118-125

Prevalence and comorbidities of attention deficit hyperactivity disorder among adults and children/adolescents in Korea Jeong-Cheol Seo, Duk-In Jon, Se-Hoon Shim, Hyung-Mo Sung, Young Sup Woo, Jeongwan Hong, Sung‐Yong Park, Jeong Seok Seo, Won-Myong Bahk p. 126-134

Investigation of relaxin-3 serum levels in terms of social interaction, communication, and appetite as a biomarker in children with autism Semih Erden, Kevser Nalbant, İbrahim Kılınç p. 135-142

Comparison between atomoxetine and OROS methylphenidate as an adjunctive to SSRIs in attention-deficit/hyperactivity disorder adults with comorbid partially responsive major depressive disorder : a head-to-head, 12-week, randomized, rater-blinded clinical trial Se-hoon Shim, Young Sup Woo, Ji Sun Kim, In Soo Heo, Hee-jung Yoon, Hyung Mo Sung, Jonghun Lee, Won-Myong Bahk p. 143-153

(An) experimental study to assess the professional and social consequences of tardive dyskinesia Rajeev Ayyagari, Debbie Goldschmidt, Fan Mu, Stanley N. Caroff, Benjamin Carroll p. 154-166

Electrophysiological changes related to childhood trauma in patients with major depressive disorder : an event-related potential study In Soo Heo, Young Joon Kwon, Hwa-Young Lee, Ho Sung Lee, Hee-Jung Yoon, Se-Hoon Shim, Ji Sun Kim p. 167-179

(The) moderating effects of accurate expectations of lethality in the relationships between suicide intent and medical lethality on suicide attempts Hyun-Ju Yang, Young-Eun Jung, Joon Hyuk Park, Moon-Doo Kim p. 180-184

Decline in hospital visits by patients with schizophrenia early in the COVID-19 outbreak in Korea Seunghyong Ryu, Hee Jung Nam, Seon-Hwa Baek, Min Jhon, Jae-Min Kim, Sung-Wan Kim p. 185-189

Electroconvulsive therapy on treatment-resistant mania in bipolar disorder with no concurrent antipsychotics : a case report Takako Enokida, Takamasa Noda, Takashi Usami, Naoko Satake, Kazuyuki Nakagome p. 190-193

Management of rhabdomyolysis in a patient treated with clozapine : a case report and clinical recommendations Laurent Béchard, Olivier Corbeil, Marc-André Thivierge, Ibrahim Assaad, Camille Boulanger, Marie-Pierre Mailhot, Alexis Turgeon-Fournier, Marc-André Roy, Marie-France Demers p. 194-198

참고문헌 (82건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
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3 Talepasand S, Mohammadi MR, Alavi SS, Khaleghi A, Sajedi Z, Akbari P, et al. Psychiatric disorders in children and adolescents:prevalence and sociodemographic correlates in Semnan Province in Iran. Asian J Psychiatr 2019;40:9-14. 미소장
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5 Mohammadi MR, Ahmadi N, Khaleghi A, Mostafavi SA, Kamali K, Rahgozar M, et al. Prevalence and correlates of psychiatric disorders in a national survey of Iranian children and adolescents. Iran J Psychiatry 2019;14:1-15. 미소장
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8 Khaleghi A, Zarafshan H, Mohammadi MR. Visual and auditory steady-state responses in attention-deficit/hyperactivity disorder. Eur Arch Psychiatry Clin Neurosci 2019;269:645-655. 미소장
9 Mostafavi SA, Khaleghi A, Mohammadi MR. Noninvasive brain stimulation in alcohol craving: a systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2020;101:109938. 미소장
10 Khaleghi A, Pirzad Jahromi G, Zarafshan H, Mostafavi SA, Mohammadi MR. Effects of transcranial direct current stimulation of prefrontal cortex on risk-taking behavior. Psychiatry Clin Neurosci 2020;74:455-465. 미소장
11 Khaleghi A, Zarafshan H, Vand SR, Mohammadi MR. Effects of non-invasive neurostimulation on autism spectrum disorder:a systematic review. Clin Psychopharmacol Neurosci 2020;18:527-552. 미소장
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14 Huys QJ, Maia TV, Frank MJ. Computational psychiatry as a bridge from neuroscience to clinical applications. Nat Neurosci 2016;19:404-413. 미소장
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19 Deserno L, Heinz A, Schlagenhauf F. Computational approaches to schizophrenia: a perspective on negative symptoms. Schizophr Res 2017;186:46-54. 미소장
20 Valton V, Romaniuk L, Douglas Steele J, Lawrie S, Seriès P. Comprehensive review: computational modelling of schizophrenia. Neurosci Biobehav Rev 2017;83:631-646. 미소장
21 Yahata N, Kasai K, Kawato M. Computational neuroscience approach to biomarkers and treatments for mental disorders. Psychiatry Clin Neurosci 2017;71:215-237. 미소장
22 Gold A, Dudai Y. Simulation of mental disorders: II. Computer models, purposes and future directions. Isr J Psychiatry Relat Sci 2016;53:73-81. 미소장
23 Karbalaei Akbari M, Zhuiykov S. A bioinspired optoelectronically engineered artificial neurorobotics device with sensorimotor functionalities. Nat Commun 2019;10:3873. 미소장
24 Falotico E, Vannucci L, Ambrosano A, Albanese U, Ulbrich S, Vasquez Tieck JC, et al. Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform. Front Neurorobot 2017;11:2. 미소장
25 Eliasmith C, Stewart TC, Choo X, Bekolay T, DeWolf T, Tang Y, et al. A large-scale model of the functioning brain. Science 2012;338:1202-1205. 미소장
26 Zuckerman O, Hoffman G, Kopelman-Rubin D, Klomek AB, Shitrit N, Amsalem Y, et al. KIP3: robotic companion as an external cue to students with ADHD. In: TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction; Feb 14-17, 2016; Eindhoven, Netherlands. p. 621-626. 미소장
27 Rakhymbayeva N, Seitkazina N, Turabayev D, Pak A, Sandygulova A. A long-term study of robot-assisted therapy for children with severe autism and ADHD. In: HRI '20:Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction; March 23-26, 2020, Cambridge, UK. p. 401-402. 미소장
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29 Markram H. The human brain project. Sci Am 2012;306:50-55. 미소장
30 Tsoutsouras V, Sirakoulis GC, Pavlos GP, Iliopoulos AC. Simulation of healthy and epileptiform brain activity using cellular automata. Int J Bifurc Chaos 2012;22:1250229. 미소장
31 Javanbakht A, Alberini CM. Editorial: Neurobiological models of psychotherapy. Front Behav Neurosci 2019;13:144. 미소장
32 Zilcha-Mano S, Roose SP, Brown PJ, Rutherford BR. Not just nonspecific factors: the roles of alliance and expectancy in treatment, and their neurobiological underpinnings. Front Behav Neurosci 2019;12:293. 미소장
33 Iglesias S, Tomiello S, Schneebeli M, Stephan KE. Models of neuromodulation for computational psychiatry. Wiley Interdiscip Rev Cogn Sci 2017;8:e1420. 미소장
34 Murray JD, Anticevic A, Gancsos M, Ichinose M, Corlett PR, Krystal JH, et al. Linking microcircuit dysfunction to cognitive impairment: effects of disinhibition associated with schizophrenia in a cortical working memory model. Cereb Cortex 2014;24:859-872. 미소장
35 Lisman JE, Coyle JT, Green RW, Javitt DC, Benes FM, Heckers S, et al. Circuit-based framework for understanding neurotransmitter and risk gene interactions in schizophrenia. Trends Neurosci 2008;31:234-242. 미소장
36 Krystal JH, Karper LP, Seibyl JP, Freeman GK, Delaney R, Bremner JD, et al. Subanesthetic effects of the noncompetitive NMDA antagonist, ketamine, in humans. Psychotomimetic, perceptual, cognitive, and neuroendocrine responses. Arch Gen Psychiatry 1994;51:199-214. 미소장
37 Anticevic A, Gancsos M, Murray JD, Repovs G, Driesen NR, Ennis DJ, et al. NMDA receptor function in large-scale anticorrelated neural systems with implications for cognition and schizophrenia. Proc Natl Acad Sci U S A 2012;109:16720-16725. 미소장
38 Frank MJ. Dynamic dopamine modulation in the basal ganglia:a neurocomputational account of cognitive deficits in medicated and nonmedicated Parkinsonism. J Cogn Neurosci 2005;17:51-72. 미소장
39 Gurney KN, Humphries MD, Redgrave P. A new framework for cortico-striatal plasticity: behavioural theory meets in vitro data at the reinforcement-action interface. PLoS Biol 2015;13:e1002034. 미소장
40 Frank MJ. Linking across levels of computation in model-based cognitive neuroscience. In: Forstmann B, Wagenmakers EJ, editors. An introduction to model-based cognitive neuroscience. New York:Springer;2015. p.159-177. 미소장
41 Chen C, Takahashi T, Nakagawa S, Inoue T, Kusumi I. Reinforcement learning in depression: a review of computational research. Neurosci Biobehav Rev 2015;55:247-267. 미소장
42 Deserno L, Boehme R, Heinz A, Schlagenhauf F. Reinforcement learning and dopamine in schizophrenia: dimensions of symptoms or specific features of a disease group? Front Psychiatry 2013;4:172. 미소장
43 Maia TV. Reinforcement learning, conditioning, and the brain: successes and challenges. Cogn Affect Behav Neurosci 2009;9:343-364. 미소장
44 Eshel N, Bukwich M, Rao V, Hemmelder V, Tian J, Uchida N. Arithmetic and local circuitry underlying dopamine prediction errors. Nature 2015;525:243-246. 미소장
45 Montague PR, Hyman SE, Cohen JD. Computational roles for dopamine in behavioural control. Nature 2004;431:760-767. 미소장
46 Moustafa AA, Sherman SJ, Frank MJ. A dopaminergic basis for working memory, learning and attentional shifting in Parkinsonism. Neuropsychologia 2008;46:3144-3156. 미소장
47 Schultz W, PreuschoffK, Camerer C, Hsu M, Fiorillo CD, Tobler PN, et al. Explicit neural signals reflecting reward uncertainty. Philos Trans R Soc Lond B Biol Sci 2008;363:3801-3811. 미소장
48 Adams RA, Huys QJ, Roiser JP. Computational psychiatry: towards a mathematically informed understanding of mental illness. J Neurol Neurosurg Psychiatry 2016;87:53-63. 미소장
49 Murray GK, Corlett PR, Clark L, Pessiglione M, Blackwell AD, Honey G, et al. Substantia nigra/ventral tegmental reward prediction error disruption in psychosis. Mol Psychiatry 2008;13:239, 267-276. 미소장
50 Corlett PR, Murray GK, Honey GD, Aitken MR, Shanks DR, Robbins TW, et al. Disrupted prediction-error signal in psychosis:evidence for an associative account of delusions. Brain 2007;130(Pt 9):2387-2400. 미소장
51 Romaniuk L, Honey GD, King JR, Whalley HC, McIntosh AM, Levita L, et al. Midbrain activation during Pavlovian conditioning and delusional symptoms in schizophrenia. Arch Gen Psychiatry 2010;67:1246-1254. 미소장
52 Schlagenhauf F, Sterzer P, Schmack K, Ballmaier M, Rapp M, Wrase J, et al. Reward feedback alterations in unmedicated schizophrenia patients: relevance for delusions. Biol Psychiatry 2009;65:1032-1039. 미소장
53 Kapur S. Psychosis as a state of aberrant salience: a framework linking biology, phenomenology, and pharmacology in schizophrenia. Am J Psychiatry 2003;160:13-23. 미소장
54 Waltz JA, Schweitzer JB, Gold JM, Kurup PK, Ross TJ, Salmeron BJ, et al. Patients with schizophrenia have a reduced neural response to both unpredictable and predictable primary reinforcers. Neuropsychopharmacology 2009;34:1567-1577. 미소장
55 Gradin VB, Kumar P, Waiter G, Ahearn T, Stickle C, Milders M, et al. Expected value and prediction error abnormalities in depression and schizophrenia. Brain 2011;134(Pt 6):1751-1764. 미소장
56 Gold JM, Waltz JA, Matveeva TM, Kasanova Z, Strauss GP, Herbener ES, et al. Negative symptoms and the failure to represent the expected reward value of actions: behavioral and computational modeling evidence. Arch Gen Psychiatry 2012;69:129-138. 미소장
57 Gold JM, Strauss GP, Waltz JA, Robinson BM, Brown JK, Frank MJ. Negative symptoms of schizophrenia are associated with abnormal effort-cost computations. Biol Psychiatry 2013;74:130-136. 미소장
58 Garbusow M, Schad DJ, Sebold M, Friedel E, Bernhardt N, Koch SP, et al. Pavlovian-to-instrumental transfer effects in the nucleus accumbens relate to relapse in alcohol dependence. Addict Biol 2016;21:719-731. 미소장
59 Sonuga-Barke EJ. The dual pathway model of AD/HD: an elaboration of neuro-developmental characteristics. Neurosci Biobehav Rev 2003;27:593-604. 미소장
60 Smith AJ, Becker S, Kapur S. A computational model of the functional role of the ventral-striatal D2 receptor in the expression of previously acquired behaviors. Neural Comput 2005;17:361-395. 미소장
61 Huys QJ, Pizzagalli DA, Bogdan R, Dayan P. Mapping anhedonia onto reinforcement learning: a behavioural metaanalysis. Biol Mood Anxiety Disord 2013;3:12. 미소장
62 Yoshida W, Dziobek I, Kliemann D, Heekeren HR, Friston KJ, Dolan RJ. Cooperation and heterogeneity of the autistic mind. J Neurosci 2010;30:8815-8818. 미소장
63 Kishida KT, Montague PR. Imaging models of valuation during social interaction in humans. Biol Psychiatry 2012;72:93-100. 미소장
64 Kishida KT, King-Casas B, Montague PR. Neuroeconomic approaches to mental disorders. Neuron 2010;67:543-554. 미소장
65 Sanfey AG. Social decision-making: insights from game theory and neuroscience. Science 2007;318:598-602. 미소장
66 Yoshida W, Seymour B, Friston KJ, Dolan RJ. Neural mechanisms of belief inference during cooperative games. J Neurosci 2010;30:10744-10751. 미소장
67 Moutoussis M, Fearon P, El-Deredy W, Dolan RJ, Friston KJ. Bayesian inferences about the self (and others): a review. Conscious Cogn 2014;25:67-76. 미소장
68 Mokhtari Hashtjini M, Pirzad Jahromi G, Sadr SS, Khaleghi A, Hatef B, Meftahi GH. Comparison of the effects of deep brain stimulation of the prelimbic cortex and basolateral amygdala for facilitation of extinction process of conditioned fear. Arch Neurosci 2020;7. 미소장
69 Huys QJM, Dayan P. A Bayesian formulation of behavioral control. Cognition 2009;113:314-328. 미소장
70 Maia TV. Fear conditioning and social groups: statistics, not genetics. Cogn Sci 2009;33:1232-1251. 미소장
71 Browning M, Behrens TE, Jocham G, O’Reilly JX, Bishop SJ. Anxious individuals have difficulty learning the causal statistics of aversive environments. Nat Neurosci 2015;18:590-596. 미소장
72 Fornito A, Zalesky A. Computational approaches to understanding mental dysfunction: progress, challenges, and new frontiers. Biol Psychiatry Cogn Neurosci Neuroimaging 2018;3:728-730. 미소장
73 Einevoll GT, Destexhe A, Diesmann M, Grün S, Jirsa V, de Kamps M, et al. The scientific case for brain simulations. Neuron 2019;102:735-744. 미소장
74 Collins AG, Frank MJ. Opponent actor learning (OpAL): modeling interactive effects of striatal dopamine on reinforcement learning and choice incentive. Psychol Rev 2014;121:337-366. 미소장
75 Mohammadi MR, Khaleghi A, Nasrabadi AM, Rafieivand S, Begol M, Zarafshan H. EEG classification of ADHD and normal children using non-linear features and neural network. Biomed Eng Lett 2016;6:66-73. 미소장
76 Khaleghi A, Sheikhani A, Mohammadi MR, Nasrabadi AM, Vand SR, Zarafshan H, et al. EEG classification of adolescents with type I and type II of bipolar disorder. Australas Phys Eng Sci Med 2015;38:551-559. 미소장
77 Mostafavi SA, Khaleghi A, Mohammadi MR, Akhondzadeh S. Is transcranial direct current stimulation an effective modality in reducing food craving? A systematic review and meta-analysis. Nutr Neurosci 2020;23:55-67. 미소장
78 Moeini M, Khaleghi A, Mohammadi MR. Characteristics of alpha band frequency in adolescents with bipolar II disorder: a resting-state QEEG study. Iran J Psychiatry 2015;10:8-12. 미소장
79 Khaleghi A, Birgani PM, Fooladi MF, Mohammadi MR. Applicable features of electroencephalogram for ADHD diagnosis. Res Biomed Eng 2020;36:1-11. 미소장
80 Mohammadi MR, Khaleghi A. Transsexualism: a different viewpoint to brain changes. Clin Psychopharmacol Neurosci 2018;16:136-143. 미소장
81 Wiecki TV, Antoniades CA, Stevenson A, Kennard C, Borowsky B, Owen G, et al. Computational cognitive biomarker for early-stage Huntington’s disease. PLoS One 2016;11:e0148409. 미소장
82 Brodersen KH, Deserno L, Schlagenhauf F, Lin Z, Penny WD, Buhmann JM, et al. Dissecting psychiatric spectrum disorders by generative embedding. Neuroimage Clin 2013;4:98-111. 미소장

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