Whole Person Modeling: a transdisciplinary approach to mental health research
Abstract The growing global burden of mental illness has prompted calls for innovative research strategies. Theoretical models of mental health include complex contributions of biological, psychosocial, experiential, and other environmental influences. Accordingly, neuropsychiatric research has self...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Springer
2023-08-01
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| Series: | Discover Mental Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44192-023-00041-6 |
| _version_ | 1827635441039310848 |
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| author | Daniel Felsky Alyssa Cannitelli Jon Pipitone |
| author_facet | Daniel Felsky Alyssa Cannitelli Jon Pipitone |
| author_sort | Daniel Felsky |
| collection | DOAJ |
| description | Abstract The growing global burden of mental illness has prompted calls for innovative research strategies. Theoretical models of mental health include complex contributions of biological, psychosocial, experiential, and other environmental influences. Accordingly, neuropsychiatric research has self-organized into largely isolated disciplines working to decode each individual contribution. However, research directly modeling objective biological measurements in combination with cognitive, psychological, demographic, or other environmental measurements is only now beginning to proliferate. This review aims to (1) to describe the landscape of modern mental health research and current movement towards integrative study, (2) to provide a concrete framework for quantitative integrative research, which we call Whole Person Modeling, (3) to explore existing and emerging techniques and methods used in Whole Person Modeling, and (4) to discuss our observations about the scarcity, potential value, and untested aspects of highly transdisciplinary research in general. Whole Person Modeling studies have the potential to provide a better understanding of multilevel phenomena, deliver more accurate diagnostic and prognostic tests to aid in clinical decision making, and test long standing theoretical models of mental illness. Some current barriers to progress include challenges with interdisciplinary communication and collaboration, systemic cultural barriers to transdisciplinary career paths, technical challenges in model specification, bias, and data harmonization, and gaps in transdisciplinary educational programs. We hope to ease anxiety in the field surrounding the often mysterious and intimidating world of transdisciplinary, data-driven mental health research and provide a useful orientation for students or highly specialized researchers who are new to this area. |
| first_indexed | 2024-03-09T15:27:46Z |
| format | Article |
| id | doaj.art-e59145da88644efcb1245d17b148dc62 |
| institution | Directory Open Access Journal |
| issn | 2731-4383 |
| language | English |
| last_indexed | 2024-03-09T15:27:46Z |
| publishDate | 2023-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Mental Health |
| spelling | doaj.art-e59145da88644efcb1245d17b148dc622023-11-26T12:28:21ZengSpringerDiscover Mental Health2731-43832023-08-013112710.1007/s44192-023-00041-6Whole Person Modeling: a transdisciplinary approach to mental health researchDaniel Felsky0Alyssa Cannitelli1Jon Pipitone2Krembil Centre for Neuroinformatics, Centre for Addiction and Mental HealthKrembil Centre for Neuroinformatics, Centre for Addiction and Mental HealthDepartment of Psychiatry, Queen’s UniversityAbstract The growing global burden of mental illness has prompted calls for innovative research strategies. Theoretical models of mental health include complex contributions of biological, psychosocial, experiential, and other environmental influences. Accordingly, neuropsychiatric research has self-organized into largely isolated disciplines working to decode each individual contribution. However, research directly modeling objective biological measurements in combination with cognitive, psychological, demographic, or other environmental measurements is only now beginning to proliferate. This review aims to (1) to describe the landscape of modern mental health research and current movement towards integrative study, (2) to provide a concrete framework for quantitative integrative research, which we call Whole Person Modeling, (3) to explore existing and emerging techniques and methods used in Whole Person Modeling, and (4) to discuss our observations about the scarcity, potential value, and untested aspects of highly transdisciplinary research in general. Whole Person Modeling studies have the potential to provide a better understanding of multilevel phenomena, deliver more accurate diagnostic and prognostic tests to aid in clinical decision making, and test long standing theoretical models of mental illness. Some current barriers to progress include challenges with interdisciplinary communication and collaboration, systemic cultural barriers to transdisciplinary career paths, technical challenges in model specification, bias, and data harmonization, and gaps in transdisciplinary educational programs. We hope to ease anxiety in the field surrounding the often mysterious and intimidating world of transdisciplinary, data-driven mental health research and provide a useful orientation for students or highly specialized researchers who are new to this area.https://doi.org/10.1007/s44192-023-00041-6Whole Person ModelingTransdiciplinaryMental healthPsychiatryBiopsychosocial |
| spellingShingle | Daniel Felsky Alyssa Cannitelli Jon Pipitone Whole Person Modeling: a transdisciplinary approach to mental health research Discover Mental Health Whole Person Modeling Transdiciplinary Mental health Psychiatry Biopsychosocial |
| title | Whole Person Modeling: a transdisciplinary approach to mental health research |
| title_full | Whole Person Modeling: a transdisciplinary approach to mental health research |
| title_fullStr | Whole Person Modeling: a transdisciplinary approach to mental health research |
| title_full_unstemmed | Whole Person Modeling: a transdisciplinary approach to mental health research |
| title_short | Whole Person Modeling: a transdisciplinary approach to mental health research |
| title_sort | whole person modeling a transdisciplinary approach to mental health research |
| topic | Whole Person Modeling Transdiciplinary Mental health Psychiatry Biopsychosocial |
| url | https://doi.org/10.1007/s44192-023-00041-6 |
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