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Chakranarayan C, Weed NC, Han K, Skeel RL, Moon K, Kim JH. Minnesota Multiphasic Personality Inventory-Adolescent-Restructured Form (MMPI-A-RF) characteristics of ADHD in a Korean psychiatric sample. J Clin Psychol 2021; 78:913-925. [PMID: 34704253 DOI: 10.1002/jclp.23269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/08/2021] [Accepted: 10/06/2021] [Indexed: 11/10/2022]
Abstract
Global rates of attention-deficit/hyperactivity disorder (ADHD) have risen. In Korea, ADHD is associated with functional impairments and comorbidity with other psychological disorders. This study examined the correlates of ADHD in a psychiatric sample of Korean adolescents on the Minnesota Multiphasic Personality Inventory-Adolescent-Restructured Form (MMPI-A-RF). In a clinical sample of 247 adolescents, MMPI-A-RF scores from 46 patients diagnosed with ADHD were compared to the remainder of the clinical sample and to the Korean MMPI-A-RF norms. Results demonstrated significantly different scores for the ADHD group on scales indicating externalizing concerns and behavior dysfunction compared with the clinical group with other disorders and to a normative sample. Notable differences were also observed between clinical groups on scales reflecting interpersonal functioning. Relative risk ratio analyses demonstrated that an MMPI-A-RF T-score of 55 was generally most effective for predicting risk for an ADHD diagnosis in the clinical sample.
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Affiliation(s)
- Cheryl Chakranarayan
- Department of Psychology, Central Michigan University, Mt. Pleasant, Michigan, USA
| | - Nathan C Weed
- Department of Psychology, Central Michigan University, Mt. Pleasant, Michigan, USA
| | - Kyunghee Han
- Department of Psychology, Central Michigan University, Mt. Pleasant, Michigan, USA
| | - Reid L Skeel
- Department of Psychology, Central Michigan University, Mt. Pleasant, Michigan, USA
| | - Kyungjoo Moon
- Maumsarang Research Institute, Maumsarang Co., Ltd., Seoul, Korea
| | - Ji-Hae Kim
- Department of Psychiatry, Samsung Seoul Hospital, Seoul, Korea
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Sofra X. Dynamics of Female Sexuality; Hidden Emotional Issues. Health (London) 2020. [DOI: 10.4236/health.2020.126051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Maksimenko VA, Runnova AE, Zhuravlev MO, Protasov P, Kulanin R, Khramova MV, Pisarchik AN, Hramov AE. Human personality reflects spatio-temporal and time-frequency EEG structure. PLoS One 2018; 13:e0197642. [PMID: 30192756 PMCID: PMC6128450 DOI: 10.1371/journal.pone.0197642] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 08/10/2018] [Indexed: 11/19/2022] Open
Abstract
The reliable and objective assessment of intelligence and personality has been a topic of increasing interest of contemporary neuroscience and psychology. It is known that intelligence can be measured by estimating the mental speed or velocity of information processing. This is usually measured as a reaction time during elementary cognitive task processing, while personality is often assessed by means of questionnaires. On the other hand, human personality affects the way a subject accomplishes elementary cognitive tasks and, therefore, some personality features can define intelligence. It is expected that these features, as well as mental abilities in performing cognitive tasks are associated with the brain's electrical neural activity. Although several studies reported correlation between event-related potentials, mental ability and intelligence, there is a lack of information about time-frequency and spatio-temporal structures of neural activity which characterize this relation. In the present work, we analyzed human electroencephalograms (EEG) recorded during the performance of elementary cognitive tasks using the Schulte test, which is a paper-pencil based instrument for assessing elementary cognitive ability or mental speed. According to particular features found of the EEG structure, we divided the subjects into three groups. For subjects in each group, we applied the Sixteen Personality Factor Questionnaire (16PF) to assess the their personality traits. We demonstrated that each group exhibited a different score on the personality scale, such as warmth, reasoning, emotional stability and dominance. Summing up, we found a link between EEG features, mental abilities and personality traits. The obtained results can be of great interest for testing human personality to create automatized intelligent programs which combine simple tests and EEG measurements for real estimation of human personality traits and mental abilities.
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Affiliation(s)
- Vladimir A. Maksimenko
- Research and Education Center “Artificial Intelligence Systems and Neurotechnologies”, Politehnicheskaya Str., 77, 410054 Saratov, Russia
| | - Anastasia E. Runnova
- Research and Education Center “Artificial Intelligence Systems and Neurotechnologies”, Politehnicheskaya Str., 77, 410054 Saratov, Russia
| | - Maksim O. Zhuravlev
- Research and Education Center “Artificial Intelligence Systems and Neurotechnologies”, Politehnicheskaya Str., 77, 410054 Saratov, Russia
| | - Pavel Protasov
- Research and Education Center “Artificial Intelligence Systems and Neurotechnologies”, Politehnicheskaya Str., 77, 410054 Saratov, Russia
| | - Roman Kulanin
- Research and Education Center “Artificial Intelligence Systems and Neurotechnologies”, Politehnicheskaya Str., 77, 410054 Saratov, Russia
| | - Marina V. Khramova
- Saratov State University, Astrakhanskaya Str., 83, 410012 Saratov, Russia
| | - Alexander N. Pisarchik
- Research and Education Center “Artificial Intelligence Systems and Neurotechnologies”, Politehnicheskaya Str., 77, 410054 Saratov, Russia
- Center for Biomedical Technology, Technical University of Madrid, Campus Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain
| | - Alexander E. Hramov
- Research and Education Center “Artificial Intelligence Systems and Neurotechnologies”, Politehnicheskaya Str., 77, 410054 Saratov, Russia
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