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The Human Affectome
Neuroscience and Biobehavioral Reviews, Volume: 158, Start page: 105450
Swansea University Authors:
Claire Williams , Andrew Kemp
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DOI (Published version): 10.1016/j.neubiorev.2023.105450
Abstract
Over the last decades, theoretical perspectives in the interdisciplinary field of the affective sciences have proliferated rather than converged due to differing assumptions about what human affective phenomena are and how they work. These metaphysical and mechanistic assumptions, shaped by academic...
Published in: | Neuroscience and Biobehavioral Reviews |
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ISSN: | 0149-7634 |
Published: |
Elsevier BV
2024
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa65786 |
Abstract: |
Over the last decades, theoretical perspectives in the interdisciplinary field of the affective sciences have proliferated rather than converged due to differing assumptions about what human affective phenomena are and how they work. These metaphysical and mechanistic assumptions, shaped by academic context and values, have dictated affective constructs and operationalizations. However, an assumption about the purpose of affective phenomena can guide us to a common set of metaphysical and mechanistic assumptions. In this capstone paper, we home in on a nested teleological principle for human affective phenomena in order to synthesize metaphysical and mechanistic assumptions. Under this framework, human affective phenomena can collectively be considered algorithms that either adjust based on the human comfort zone (affective concerns) or monitor those adaptive processes (affective features). This teleologically-grounded framework offers a principled agenda and launchpad for both organizing existing perspectives and generating new ones. Ultimately, we hope the Human Affectome brings us a step closer to not only an integrated understanding of human affective phenomena, but an integrated field for affective research. |
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Keywords: |
Affect; Framework; Enactivism; Allostasis; Feeling; Sensation; Emotion; Mood; Wellbeing; Valence; Arousal; Motivation; Stress; Self |
College: |
College of Human and Health Sciences |
Funders: |
We are especially grateful to the support provided by Professor Jaak Panksepp in the early stages of this project prior to his passing on the 18th April 2017. We extend special thanks to Dr. Denis Tarasov, Chief Software Architect at Meanotek AI, for his early efforts to help us understand the full range of feeling words that could be retrieved using a big data approach. In addition, we would like to give a special thanks to Drs. Ralph Adolphs, Roger Clem, Antonio Damasio, Roeland Heerema, Joseph LeDoux, Ifat Levy, James H. McIntyre, Seth Pollak, Disa Sauter, Norbert Schwarz, Fabrice Teroni, Dave Ward, and Tim Wharton, for their guidance and feedback. A. Ibanez was supported by grants from Takeda; CW2680521; CONICET; FONCYT-PICT (2017-1818, 2017-1820); ANID/FONDECYT Regular (1210195, 1210176, 1220995); ANID/FONDAP (15150012); ANID/PIA/ANILLOS ACT210096; and the Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat), funded by the National Institutes of Aging of the National Institutes of Health under award number R01AG057234, an Alzheimer’s Association grant (SG-20-725707-ReDLat), the Rainwater Foundation, and the Global Brain Health Institute. A. Lawrence was supported by the Scottish Government Strategic Research Programme (Theme 2) and by the BBSRC Institute Strategic Programme to the Roslin Institute (ISP3; Theme 2). A.H. Kemp acknowledges support from a CHERISH-DE international mobility fellowship that supported his contributions to the Human Affectome Project. He was also supported by research funding for patient and public benefit awarded by Health and Care Research Wales (RfPPB-18-1502). B. Derntl was supported by the German Research Foundation (DFG, DE2319/6-1, DE2319/9-1). C.A. Lowry was supported by the National Institute of Mental Health [R21MH116263], the National Center for Complementary and Integrative Health [R01AT010005 and R41AT011390], the Colorado Office of Economic Development and International Trade (OEDIT) Advanced Industries Accelerator Program [CTGG1-2020-3064] and the Department of the Navy, Office of Naval Research Multidisciplinary University Research Initiative (MURI) Award [N00014-15-1-2809]. C.D. Ladouframeworkceur was funded by the National Institute of Mental Health [R01MH099007, R01MH103241, R01MH101096]. C.H.Y. Fu acknowledges support from MRC grant (G0802594). D. Ellingsen was supported by the Norwegian Research Council/Marie Sklodowska-Curie Actions [FRICON/COFUND-240553/F20].D. Schiller is supported by NIH grants [R01MH122611], [R01MH123069], and The Misophonia Research Fund. E. Stefanova was supported by Ministry of Education Science, and Technological Development, Republic of Serbia (Project No. 175090), Alzheimer Association grant for Promoting Diversity. E. Stern and C. Brown are supported by National Institute of Mental Health (NIMH) R01 MH111794, R33 MH107589, and R01 MH126981 awarded to ERS. E.D. Musser was supported by the National Institutes of Mental Health [R03MH110812-02, K23MH117280]. E.F. Pace-Schott was supported by MH109638, MH115279.F. Dolcos acknowledges support received from a Helen Corley Petit Scholarship in Liberal Arts and Sciences, an Emanuel Donchin Professorial Scholarship in Psychology, and an Arnold O. Beckman Award from the University of Illinois, during his contribution to this article. G. Northoff acknowledges that this work was funded by PSI and CIHR as well as the European Human Brain project. G. Pinna is supported in part by the United States U. S. Department of Defense Grant W81XWH-15-1-0521. G. Riva and P. Cipresso were funded by the Italian MIUR research project “Unlocking the memory of the body: Virtual Reality in Anorexia Nervosa” (201597WTTM) and by the Italian Ministry of Health research project “High-end and Low-End Virtual Reality Systems for the Rehabilitation of Frailty in the Elderly” (PE-2013-0235594). J. Gatt was supported by a NHMRC Project Grant (APP1122816). J. Raber was supported in part by the United States Department of Defense Grant W81XWH-17-1-0193, NIH RF1 AG059088, R21 ES027943, R21 AG065914, R01 NS080866, RF1 AG058273, R01 HL140182, R21 CA223461, U19 AT010829, and by NASA NSCOR NNX15AK13G to M.Weil (OHSU subcontract to J. Raber) and NASA NASA 80NSSC19K0498 –P00001 to J. Baker (subcontract to J. Raber). J. Williams and C. Huggins were supported by the Northwood Trust. J.E. Swain was supported by the Research Foundation for the State University of New York (SUNY), the National Institutes for Health (NIH)/National Institute on Drug Abuse (NIDA) R01 DA047336 and R01 DA047094, and the Peter F. McManus Charitable Trust. L. Booij was supported by a career award from the Fonds de Recherche du Québec – Santé. L. M. Bylsma was supported by MH118218, MH104325, MH101750 and a NARSAD Young Investigator Award from the Brain and Behavior Research Foundation (BBRF) and Vital Projects Fund, Inc. M. Bensafi was supported by the French-German ANR/DFG SHS FRAL program [MEROD Project, ANR-15-FRAL-0002]. M. Joffily was supported by the LABEX CORTEX of the University of Lyon [ANR-11-LABX-0042] and the program Investissements d’Avenir of the French National Research Agency (ANR) [ANR-11-IDEX-007]. M.Owolabi was supported by SIREN (U54HG007479), SIBS Genomics (R01NS107900), SIBS Gen Gen (R01NS107900-02S1), ARISES (R01NS115944-01), H3Africa CVD Supplement (3U24HG009780-03S5), CaNVAS (1R01NS114045–01), Sub-Saharan Africa Conference on Stroke (SSACS) 1R13NS115395–01A1 and Training Africans to Lead and Execute Neurological Trials & Studies (TALENTS) D43TW012030 from the NIH. M. Owolabi and K. Kusi-Mensah would like to thank the following medical students of the Kwame Nkrumah University of Science and Technology, Kumasi- Ghana, class of 2019 for volunteering their time to work on the classification of affect words in English: Gladys Akrofi, Loretta Agyare, Felix Allotey and Edwin Akomaning. M. Polyakova was supported by the International Max Planck Research School (IMPRS) NeuroCom by the Max Planck Society. M.-F. Marin was supported by an award from the Fonds de recherche du Québec – Santé (FRQS). M.L. Schroeter was supported by the German Research Foundation (DFG; SCHR 774/5–1), by the German Consortium for Frontotemporal Lobar Degeneration, funded by the German Federal Ministry of Education and Research (BMBF; FKZ 01GI1007A), by the Parkinson’s Disease Foundation (PDFIRG-1307), the Michael J Fox Foundation (MJFF-11362), by LIFE –Leipzig Research Center for Civilization Diseases, Universität Leipzig, and by the eHealthSax Initiative of the Sächsische Aufbaubank (SAB). M. Weymar was supported by the German Research Foundation (DFG; WE 4801/3–1, WE 4801/6–1). N. Abe was supported by JSPS KAKENHI Grant Number 17H06054 and 19H00628. O. Gosseries and S. Laureys are research associate and research director at FRS-FNRS respectively and acknowledge support from the Human Brain Project SGA3 (No. 945539). P. Eslinger was supported by NIH/NIEHS RO1 ES019672 and the Alzheimer’s Therapeutic Research Institute/USC/NIA. P. Frewen was supported by the Canadian Institutes for Health Research, Canadian Department of National Defense, and Veteran’s Affairs Canada. P.S. Sachdev was supported by an Investigator Grant from the National Health and Medical Research Council of Australia. R. Alexander was supported by an Australian Government Research Training Program Domestic Scholarship. R.C.K Chan was supported by the National Natural Foundation of China [81571317], National Key Research and Development Programme [2016YFC0906402], and the Beijing Municipal Science & Technology Commission [Z161100000216138]. R.C.K Chan and Y. Wang were supported by the CAS Key Laboratory of Mental Health, Institute of Psychology. R. Nusslock was supported by the National Institute of Mental Health [MH100117; MH077908] and the National Institute on Drug Abuse [DAO51361]. R. Palermo and M. Willis were supported by the the Australian Research Council (ARC) Centre of Excellence for Cognition and its Disorders (CE110001021). S. Boutros was supported by National Science Foundation GVPRS0014D9, NIA T32 AG055378, and F31 AG067269. S. Krach was supported by the German Research Foundation (DFG KR 3803/9–1; KR 3803/11–1). S.Schweizer was supported by the Wellcome Trust, Sir Henry Wellcome Fellowship, 209127/Z/17/Z. S. Urben was supported by Swiss National Science Foundation (SPARK# CRSK-3_190490). S.G. Hofmann receives financial support by the Alexander von Humboldt Foundation (as part of the Alexander von Humboldt Professur) and the Hessische Ministerium für Wissenschaft und Kunst (as part of the LOEWE Spitzenprofessur). He also receives compensation for his work as editor from SpringerNature and royalties and payments for his work from various publishers. T. Aue was supported by the Swiss National Science Foundation (grants PP00P1_150492 and PP00P1_183709). T.E. Van Rheenen was supported by a National Health and Medical Research Council (NHMRC) Early Career Fellowship (1088785) and a Dame Kate Campbell Fellowship from the University of Melbourne. T. Jovanovic was supported by the National Institute of Mental Health (R01MH111682, R01MH100122, R01MH110364). T.Olino was supported by the National Institute of Mental Health [R01MH107495]. Y. Wang was supported by the National Natural Foundation of China [31871114]. |
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105450 |