The Subjective Need for Social Interaction
DOI:
https://doi.org/10.14738/bjhmr.102.14560Keywords:
Cognitive function, Cognitive reserve, Connectivity, Population neuroscience, Social behaviour, Subjective ageAbstract
Introduction: With regard to emotional phenomena, the aim of this thematic review is to provide a synthesis of the most recent and highest-quality psychological and psychobiopathological information, endorsed by the scientific community. Material and Method: A relevant electronic and manual search of several major national and international repositories, directories and bibliographic databases has been carried out until the end of March 2023. Results and Discussion: Well-known strategies of predictive regulation or allostasis are discussed in relation to human emotions, feelings and interactions. Emotions will be able to induce feelings, which will influence personal actions mutually. Psychobiologically, the default or default-operating neural network is important in any interactions. Distinct networks of the so-called social brain display volumetric changes in the presence or absence of social support groups. Social connection and interaction are a strong preventive factor for psychopathologies such as anxiety, depressive and personality disorders. On the other hand, interoceptive awareness, linked to empathy, is key to social interaction. Understanding of personal interrelationships is shaped in the brain regions that are considered social cognitive. Dysfunctional social behaviours may be strongly conditioned by genetic as well as environmental factors. Furthermore, one should consider both individual cognitive reserve and cognitive performance. Conclusions: The known relationships between emotions, feelings and personality with respect to human interactions have been made succinctly explicit. Also, where relevant, the psychobiopathological influence on personal relationships and communication skills.
References
Bryant FB, Veroff J. Savoring: A new model of positive experience. New York, US: Lawrence Erlbaum Associates Publishers; 2007. 526
Bryant FB. Current progress and future directions for theory and research on savoring. Front Psychol. 2021; 12:771698. doi: 10.3389/fpsyg.2021.771698
Sterling P. Allostasis: A model of predictive regulation. Physiol Behav. 2012; 106(1):5–15. doi: 10.1016/j.physbeh.2011.06.004
Liu SH, Juster RP, Dams-O ‘Connor K, Spicer J. Allostatic load scoring using item response theory. Compr Psychoneuroendocrinol. 2020; 5:100025. doi: 10.1016/j.cpnec.2020.100025
Dixon ML, Thiruchselvam R, Todd R, Christoff K. Emotion and the prefrontal cortex: An integrative review. Psychol Bull. 2017; 143(10):1033–81. doi: 10.1037/bul0000096
Ashdown-Franks G, Sabiston CM, Stubbs B. The evidence for physical activity in the management of major mental illnesses: A concise overview to inform busy clinicians ‘practice and guide policy. Curr Opin Psychiatry. 2019; 32(5):375–80. doi: 10.1097/YCO.0000000000000526
Tschantz A, Barca L, Maisto D, Buckley CL, Seth AK, Pezzulo G. Simulating homeostatic, allostatic and goal-directed forms of interoceptive control using active inference. Biol Psychol. 2022; 169:108266. doi: 10.1016/j.biopsycho.2022.108266
Garay J. Los sentimientos, guía del conocimiento. Themata Rev Filos. 2001; 26:41–54. https://idus.us.es/bitstream/handle/11441/12094/file_1.pdf?sequence=1&isAllowed=y
Sigl L. Subjectivity, governance, and changing conditions of knowledge production in the life sciences. Subjectivity. 2019; 12:117–36. doi: 10.1057/s41286-019-00069-6
Schore A. Right brain-to-right brain psychotherapy: Recent scientific and clinical advances. Ann Gen Psychiatry. 2022; 21(1):46. doi: 10.1186/s12991-022-00420-3
Braun HA. Stochasticity versus determinacy in neurobiology: From ion channels to the question of the ‘free will’. Front Syst Neurosci. 2021; 15:629436. doi: 10.3389/fnsys.2021.629436
Weber M. Wirtschaft und gesellschaft. Grundriss der vmtehendn soziologie. [Economy and society: An outline of interpretive sociology] Tübingen (Baden-Württemberg): I.C.B. Mohr (Paul Siebeck); 1922.
Matsuura H, Hatono Y, Saito I. Preventive role of community-level social capital in the need for long-term care and impairment in instrumental activities of daily living: A multilevel analysis. Environ Health Prev Med. 2023; 28:15. doi: 10.1265/ehpm.22-00126
Truskanov N, Emery Y, Bshary R. Juvenile cleaner fish can socially learn the consequences of cheating. Nat Commun. 2020; 11(1):1159. doi: 10.1038/s41467-020-14712-3
Trueba-Atienza C. La teoría aristotélica de las emociones. [Aristotle´s theory of emotions.] Sig Filos. 2009; 11(22):147–70. https://www.scielo.org.mx/pdf/signosf/v11n22/v11n22a7.pdf
Ling G, Lee I, Guimond S, Lutz O, Tandon N, Nawaz U, et al. Individual variation in brain network topology is linked to emotional intelligence. Neuroimage. 2019; 189:214–23. doi: 10.1016/j.neuroimage.2019.01.013
Zhou X, Sun X, Wang Z, Jiang T. Association between conscientiousness and team emotional intelligence: A moderated mediation model. Medicine (Baltimore). 2022; 101(42):e31001. doi: 10.1097/MD.0000000000031001
Votinov M, Myznikov A, Zheltyakova M, Masharipov R, Korotkov A, Cherednichenko D, et al. The interaction between caudate nucleus and regions within the theory of mind network as a neural basis for social intelligence. Front Neural Circuits. 2021; 15:727960. doi: 10.3389/fncir.2021.727960 527
Cohen-Zimerman S, Khilwani H, Smith GNL, Krueger F, Gordon B, Grafman J. The neural basis for mental state attribution: A voxel-based lesion mapping study. Hum Brain Mapp. 2021; 42(1):65–79. doi: 10.1002/hbm.25203
Revelle W. Experimental approaches to the study of personality. In: Robins B, Fraley RC, Krueger RF. (eds.). Handbook of research methods in personality psychology. New York, US: Guilford Press; 2007, p. 37–61.
Ketay S, Beck LA. Attachment predicts cortisol response and closeness in dyadic social interaction. Psychoneuroendocrinology. 2017; 80:114–21. doi: 10.1016/j.psyneuen.2017.03.009
Vine V, Hilt LM, Marroquín B, Gilbert KE. Socially oriented thinking and the biological stress response: Thinking of friends and family predicts trajectories of salivary cortisol decline. Psychophysiology. 2019; 56(12): e13461. doi: 10.1111/psyp.13461
Holt-Lunstad J, Uchino BN. Social ambivalence and disease (SAD): A theoretical model aimed at understanding the health implications of ambivalent relationships. Perspect Psychol Sci. 2019; 14(6):941–66. doi: 10.1177/1745691619861392
Melwani S, Rothman NB. The push-and-pull of frenemies: When and why ambivalent relationships lead to helping and harming. J Appl Psychol. 2022; 107(5):707–23. doi: 10.1037/apl0000811
Herr RM, Birmingham WC, van-Harreveld F, van-Vianen AEM, Fischer JE, Bosch JA. The relationship between ambivalence towards supervisor’s behavior and employee’s mental health. Sci Rep. 2022; 12(1):9555. doi: 10.1038/s41598-022-13533-2
Kurilla R. A communication-ecological account of groups. Front Psychol. 2022; 12:797544. doi: 10.3389/fpsyg.2021.797544
Morgner C. Trust and society: Suggestions for further development of Niklas Luhmann’s theory of trust. Can Rev Sociol. 2018; 55(2):232–56. doi: 10.1111/cars.12191
Roth S, Valentinov V. Health beyond medicine. A planetary theory extension. Sociol Health Illn. 2023; 45(2):331–45. doi: 10.1111/1467-9566.13578
Joiner TE. Why people die by suicide. Harvard Cambridge (Massachusetts), US: Harvard University Press; 2007.
McCabe R, Healey PGT. Miscommunication in doctor-patient communication. Top Cogn Sci. 2018; 10(2):409–24. doi: 10.1111/tops.12337
Raichle ME. Two views of brain function. Trends Cogn Sci. 2010 ; 14(4):180–90. doi : 10.1016/j.tics.2010.01.008
Blanco-San-Martín E, Sáez-Delgado F, Lepe-Martínez N. El rol predictivo de la red neuronal por defecto sobre la atención sostenida en edades escolares: una revisión sistemática. [The predictive rol of default neural network on sustained attention in school age.] Rev Chil Neuro-Psiquiatr. 2023; 61(1):87–97. doi: 10.4067/S0717-92272023000100087
Faraji J, Soltanpour N, Lotfi H, Moeeini R, Moharreri AR, Roudaki S, et al. Lack of social support raises stress vulnerability in rats with a history of ancestral stress. Sci Rep. 2017; 7(1):5277. doi: 10.1038/s41598-017-05440-8
Li W, Chen Z, Wu M, Zhu H, Gu L, Zhao Y, et al. Characterization of brain blood flow and the amplitude of low-frequency fluctuations in major depressive disorder: A multimodal meta-analysis. J Affect Disord. 2017; 210:303–11. doi: 10.1016/j.jad.2016.12.032 528
Bertolín-Guillén JM. Psychobiology in relation to beliefs, knowledge and feelings. Am J Psychiatr Res Rev. 2022: 5(35). doi: 10.28933/ajprr-2022-03-2605
Bertolín-Guillén JM. Emoción, subjetividad, memoria y salud mental. [Emotion, subjectivity, memory and mental health.] Rev Neuro-Psiquiatr. 2022; 85(4):282–9. doi: 10.20453/rnp. v85i4.4368
Taebi A, Kiesow H, Vogeley K, Schilbach L, Bernhardt BC, Bzdok D. Population variability in social brain morphology for social support, household size and friendship satisfaction. Soc Cogn Affect Neurosci. 2020; 15(6):635–47. doi: 10.1093/scan/nsaa075
Kim H, Duval ER. Social interaction anxiety and depression symptoms are differentially related in men and women. Curr Psychol. 2022; Jun 27:1–12. doi: 10.1007/s12144-022-03245-1
Choi KW, Stein MB, Nishimi KM, Ge T, Coleman JRI, Chen CY, et al. An exposure-wide and Mendelian randomization approach to identifying modifiable factors for the prevention of depression. Am J Psychiatry. 2020; 177(10):944–54. doi: 10.1176/appi.ajp.2020.19111158
Holguín-Mendoza TE, Palacios-Casados JJ. La genética del trastorno antisocial de la personalidad: Una revisión de la bibliografía. [The genetics of antisocial personality disorder: A bibliographic review.] Sal Ment. 2014; 37(1):83–91. https://www.scielo.org.mx/pdf/sm/v37n1/v37n1a10.pdf
Bozzatello P, Garbarini C, Rocca P, Bellino S. Borderline personality disorder: Risk factors and early detection. Diagnostics (Basel). 2021; 11(11):2142. doi: 10.3390/diagnostics11112142
Luján-Martínez A, Álvarez-López J, Pérez-López M, Shejet F. Aspectos distintivos de los rasgos de psicopatía primaria y secundaria: revisión actualizada. [Distinctive aspects of primary and secondary psychopathy traits: Updated review.] Edupsykhe Rev Psicol Educ. 2023; 20(1):5–21. doi: 10.57087/edupsykhe. v20i1.4531
Stoica T, Depue B. Shared characteristics of intrinsic connectivity networks underlying interoceptive awareness and empathy. Front Hum Neurosci. 2020; 14:571070. doi: 10.3389/fnhum.2020.571070
Uribe C, Puig-Davi A, Abos A, Baggio HC, Junque C, Segura B. Neuroanatomical and functional correlates of cognitive and affective empathy in young healthy adults. Front Behav Neurosci. 2019; 13:85. doi: 10.3389/fnbeh.2019.00085
Bertolín-Guillén JM, García-Valls JM. Metacognición, mentalización y psicopatología. [Metacognition, mentalisation and psychopatology.] Norte Sal Ment. 2023; 18(68):32–40. https://aen.es/wpcontent/uploads/2023/01/Norte-sm-68.pdf#page=34
Lagattuta KH, Kramer HJ. Advanced emotion understanding: Children’s and adults ‘knowledge that minds generalize from prior emotional events. Emotion. 2021; 21(1):1–16. doi: 10.1037/emo0000694
Maslow AH. A theory of human motivation. Psychol Rev. 1943, 50(4):370–96. doi: 10.1037/h0054346
Stover JB, Bruno FE, Uriel FE, Fernández-Liporace M. Teoría de la autodeterminación: una revisión teórica. [Self-determination theory: A theoretical review.] Perspect Psicol Rev Psicol Cien Afines. 2017; 14(2):105–15. https://www.redalyc.org/articulo.oa?id=483555396010
Weiner B. The development of an attribution-based theory of motivation: A history of ideas. Educ Psychol. 2010; 45(1):28–36. doi: 10.1080/00461520903433596
Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Psychol Rev. 1977; 84(2):191–215. doi: 10.1037/0033-295X.84.2.191
Zajner C, Spreng RN, Bzdok D. Lacking social support is associated with structural divergences in hippocampus-default network co-variation patterns. Soc Cogn Affect Neurosci. 2022; 17(9):802–18. doi: 10.1093/scan/nsac006
Kluwer ES, Karremans JC, Riedijk L, Knee CR. Autonomy in relatedness: How need fulfillment interacts in close relationships. Pers Soc Psychol Bull. 2020; 46(4):603–16. doi: 10.1177/0146167219867964
Kuroda K, Ogura Y, Ogawa A, Tamei T, Ikeda K, Kameda T. Behavioral and neuro-cognitive bases for emergence of norms and socially shared realities via dynamic interaction. Commun Biol. 2022; 5(1):1379. doi: 10.1038/s42003-022-04329-1
Saxe R, Xiao DK, Kovacs G, Perrett DI, Kanwisher N. A region of right posterior superior temporal sulcus responds to observed intentional actions. Neuropsychologia. 2004; 42(11):1435–46. doi: 10.1016/j.neuropsychologia.2004.04.015
Baldassano C, Beck DM, Fei-Fei L. Human-object interactions are more than the sum of their parts. Cereb Cortex. 2017; 27(3):2276–88. doi: 10.1093/cercor/bhw077
Siegel DJ, Drulis C. An interpersonal neurobiology perspective on the mind and mental health: Personal, public, and planetary well-being. Ann Gen Psychiatry. 2023; 22(1):5. doi: 10.1186/s12991-023-00434-5
Liu L, Xu H, Wang J, Li J, Tian Y, Zheng J, et al. Cell type-differential modulation of prefrontal cortical GABAergic interneurons on low gamma rhythm and social interaction. Sci Adv. 2020; 6(30): eaay4073. doi: 10.1126/sciadv. aay4073
Monjas MI. El complejo mundo de las relaciones interpersonales. [The complex world of interpersonal relationships.] Madrid, ES: Ediciones Pirámide; 2021.
Urteaga E. La teoría de sistemas de Niklas Luhmann. [Niklas Luhmann’s systems theory.] Contrastes. 2010; 15:301–17. https://www.uma.es/contrastes/pdfs/015/contrastesxv-16.pdf
Arola A, Laakso HM, Pitkänen J, Koikkalainen J, Lötjönen J, Korvenoja A, et al. Associations of cognitive reserve and psychological resilience with cognitive functioning in subjects with cerebral white matter hyperintensities. Eur J Neurol. 2021; 28(8):2622–30. doi: 10.1111/ene.14910
Szcześniak D, Lenart-Bugla M, Misiak B, Zimny A, Sąsiadek M, Połtyn-Zaradna K, et al. Unraveling the protective effects of cognitive reserve on cognition and brain: A cross-sectional study. Int J Environ Res Public Health. 2022; 19(19):12228. doi: 10.3390/ijerph191912228
Chen H, Zhu H, Huang L, Chen H, Liu R, Qin R, et al. The flexibility of cognitive reserve in regulating the frontoparietal control network and cognitive function in subjects with white matter hyperintensities. Behav Brain Res. 2022; 425:113831. doi: 10.1016/j.bbr.2022.113831
Gomes-Osman J, Indahlastari A, Fried PJ, Cabral DLF, Rice J, Nissim NR, et al. Non-invasive brain stimulation: Probing intracortical circuits and improving cognition in the aging brain. Front Aging Neurosci. 2018; 10:177. doi: 10.3389/fnagi.2018.00177
Indahlastari A, Hardcastle C, Albizu A, Alvarez-Alvarado S, Boutzoukas EM, Evangelista ND, et al. A systematic review and meta-analysis of transcranial direct current stimulation to remediate age-related cognitive decline in healthy older adults. Neuropsychiatr Dis Treat. 2021; 17:971–90. doi: 10.2147/NDT.S259499
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Jose Manuel Bertolín-Guillén

This work is licensed under a Creative Commons Attribution 4.0 International License.