PMID- 35279904 OWN - NLM STAT- MEDLINE DCOM- 20220606 LR - 20220731 IS - 1440-1819 (Electronic) IS - 1323-1316 (Print) IS - 1323-1316 (Linking) VI - 76 IP - 6 DP - 2022 Jun TI - Development of a classifier for gambling disorder based on functional connections between brain regions. PG - 260-267 LID - 10.1111/pcn.13350 [doi] AB - AIM: Recently, a machine-learning (ML) technique has been used to create generalizable classifiers for psychiatric disorders based on information of functional connections (FCs) between brain regions at resting state. These classifiers predict diagnostic labels by a weighted linear sum (WLS) of the correlation values of a small number of selected FCs. We aimed to develop a generalizable classifier for gambling disorder (GD) from the information of FCs using the ML technique and examine relationships between WLS and clinical data. METHODS: As a training dataset for ML, data from 71 GD patients and 90 healthy controls (HCs) were obtained from two magnetic resonance imaging sites. We used an ML algorithm consisting of a cascade of an L1-regularized sparse canonical correlation analysis and a sparse logistic regression to create the classifier. The generalizability of the classifier was verified using an external dataset. This external dataset consisted of six GD patients and 14 HCs, and was collected at a different site from the sites of the training dataset. Correlations between WLS and South Oaks Gambling Screen (SOGS) and duration of illness were examined. RESULTS: The classifier distinguished between the GD patients and HCs with high accuracy in leave-one-out cross-validation (area under curve (AUC = 0.89)). This performance was confirmed in the external dataset (AUC = 0.81). There was no correlation between WLS, and SOGS and duration of illness in the GD patients. CONCLUSION: We developed a generalizable classifier for GD based on information of functional connections between brain regions at resting state. CI - (c) 2022 The Authors. Psychiatry and Clinical Neurosciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Psychiatry and Neurology. FAU - Takeuchi, Hideaki AU - Takeuchi H AUID- ORCID: 0000-0001-6877-0640 AD - Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan. AD - Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan. FAU - Yahata, Noriaki AU - Yahata N AD - Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan. AD - Applied MRI Research, Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan. AD - Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International (ATR), Kyoto, Japan. FAU - Lisi, Giuseppe AU - Lisi G AD - Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International (ATR), Kyoto, Japan. AD - Nagoya Institute of Technology, Nagoya, Japan. FAU - Tsurumi, Kosuke AU - Tsurumi K AD - Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan. FAU - Yoshihara, Yujiro AU - Yoshihara Y AD - Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan. FAU - Kawada, Ryosaku AU - Kawada R AD - Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan. FAU - Murao, Takuro AU - Murao T AD - Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan. FAU - Mizuta, Hiroto AU - Mizuta H AD - Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan. FAU - Yokomoto, Tatsunori AU - Yokomoto T AD - Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan. FAU - Miyagi, Takashi AU - Miyagi T AD - Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan. FAU - Nakagami, Yukako AU - Nakagami Y AUID- ORCID: 0000-0001-7495-8957 AD - Kyoto University Health Service, Kyoto, Japan. FAU - Yoshioka, Toshinori AU - Yoshioka T AD - Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International (ATR), Kyoto, Japan. FAU - Yoshimoto, Junichiro AU - Yoshimoto J AUID- ORCID: 0000-0001-7995-0321 AD - Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International (ATR), Kyoto, Japan. AD - Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan. FAU - Kawato, Mitsuo AU - Kawato M AD - Applied MRI Research, Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan. FAU - Murai, Toshiya AU - Murai T AD - Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan. FAU - Morimoto, Jun AU - Morimoto J AD - Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International (ATR), Kyoto, Japan. FAU - Takahashi, Hidehiko AU - Takahashi H AD - Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan. LA - eng GR - JP18dm0307008/Japan Agency for Medical Research and Development/ GR - JP21dm0307008/Japan Agency for Medical Research and Development/ GR - 17K16376/Japan Society for the Promotion of Science/ GR - Smoking Research Foundation/ GR - AMED/ GR - JSPS/ GR - Kyoto University/ PT - Journal Article DEP - 20220414 PL - Australia TA - Psychiatry Clin Neurosci JT - Psychiatry and clinical neurosciences JID - 9513551 SB - IM MH - Algorithms MH - Brain/diagnostic imaging MH - *Gambling/diagnostic imaging MH - Humans MH - Machine Learning MH - Magnetic Resonance Imaging/methods PMC - PMC9322453 OTO - NOTNLM OT - functional connection OT - gambling disorder OT - generalizable classifier OT - machine learning EDAT- 2022/03/14 06:00 MHDA- 2022/06/07 06:00 PMCR- 2022/07/26 CRDT- 2022/03/13 20:33 PHST- 2022/02/14 00:00 [revised] PHST- 2021/10/14 00:00 [received] PHST- 2022/03/08 00:00 [accepted] PHST- 2022/03/14 06:00 [pubmed] PHST- 2022/06/07 06:00 [medline] PHST- 2022/03/13 20:33 [entrez] PHST- 2022/07/26 00:00 [pmc-release] AID - PCN13350 [pii] AID - 10.1111/pcn.13350 [doi] PST - ppublish SO - Psychiatry Clin Neurosci. 2022 Jun;76(6):260-267. doi: 10.1111/pcn.13350. Epub 2022 Apr 14.