Pengaruh Perkembangan Otak pada Kemampuan Kognitif dan Perilaku dari Masa Infansi hingga Dewasa

Tinjauan Terkini

Authors

  • Ivana Nur Intishar (1) Universitas Gadjah Mada

Keywords:

kognitif, perkembangan, perilaku, otak

Abstract

Perkembangan otak dalam rentang usia dari masa infansi hingga dewasa memegang peran kunci dalam membentuk kompleksitas kemampuan kognitif dan perilaku individu. Sebagai pusat kendali sistem saraf, otak mengalami transformasi yang signifikan, membentuk dasar yang kuat untuk fungsi-fungsi kognitif seperti pemecahan masalah, belajar, dan adaptasi terhadap lingkungan sosial. Artikel ini bertujuan untuk memberikan kontribusi pada pemahaman yang lebih holistik tentang kompleksitas interaksi perkembangan antara otak dan kemampuan kognitif serta perilaku dari masa infansi hingga dewasa, mencerminkan urgensi pemahaman ini seiring dengan terus berkembangnya pengetahuan di bidang neurosains dan psikologi perkembangan.

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References

Antonenko, D., Külzow, N., Sousa, A., Prehn, K., Grittner, U., & Flöel, A. (2018). Neuronal and behavioral effects of multi-day brain stimulation and memory training. Neurobiology of Aging, 61, 245–254. https://doi.org/10.1016/j.neurobiolaging.2017.09.017

Antonucci, T. C., Ajrouch, K. J., & Birditt, K. S. (2013). The convoy model: Explaining social relations from a multidisciplinary perspective. The Gerontologist, 54(1), 82–92. https://doi.org/10.1093/geront/gnt118

Baird, A. A., Gruber, S. A., Fein, D. A., Maas, L. C., Steingard, R. J., Renshaw, P. F., & Cohen, B. M. (1999). Functional magnetic resonance imaging of facial affect recognition in children and adolescents. Journal of the American Academy of Child & Adolescent Psychiatry, 38(2), 195–199. https://doi.org/10.1097/00004583-199902000-00019

Belleville, S., Clément, F., Mellah, S., Gilbert, B., Fontaine, F., & Gauthier, S. (2011). Training-related brain plasticity in subjects at risk of developing alzheimer’s disease. Brain, 134(6), 1623–1634. https://doi.org/10.1093/brain/awr037

Belsky, J. (2016). The differential susceptibility hypothesis. JAMA Pediatrics, 170(4), 321. https://doi.org/10.1001/jamapediatrics.2015.4263

Casey, B. J., Getz, S., & Galvan, A. (2008). The adolescent brain. Developmental Review, 28(1), 62–77. https://doi.org/10.1016/j.dr.2007.08.003

Deoni, S. C., O’Muircheartaigh, J., Elison, J. T., Walker, L., Doernberg, E., Waskiewicz, N., Dirks, H., Piryatinsky, I., Dean, D. C., & Jumbe, N. L. (2014). White matter maturation profiles through early childhood predict general cognitive ability. Brain Structure and Function, 221(2), 1189–1203. https://doi.org/10.1007/s00429-014-0947-x

Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64(1), 135–168. https://doi.org/10.1146/annurev-psych-113011-143750

Diamond, A. (2020). The early development of executive functions. In Executive Function in Preschool-Age Children (pp. 11-29). Routledge.

Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., & May, A. (2004). Changes in grey matter induced by training. Nature, 427(6972), 311–312. https://doi.org/10.1038/427311a

Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., Fetcho, R. N., Zebley, B., Oathes, D. J., Etkin, A., Schatzberg, A. F., Sudheimer, K., Keller, J., Mayberg, H. S., Gunning, F. M., Alexopoulos, G. S., Fox, M. D., Pascual-Leone, A., Voss, H. U., … Liston, C. (2016). Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nature Medicine, 23(1), 28–38. https://doi.org/10.1038/nm.4246

Erickson, K. I., Voss, M. W., Prakash, R. S., Basak, C., Szabo, A., Chaddock, L., Kim, J. S., Heo, S., Alves, H., White, S. M., Wojcicki, T. R., Mailey, E., Vieira, V. J., Martin, S. A., Pence, B. D., Woods, J. A., McAuley, E., & Kramer, A. F. (2011). Exercise training increases size of hippocampus and improves memory. Proceedings of the National Academy of Sciences, 108(7), 3017–3022. https://doi.org/10.1073/pnas.1015950108

Ernst, M., Pine, D. S., & Hardin, M. (2005). Triadic model of the neurobiology of motivated behavior in adolescence. Psychological Medicine, 36(3), 299–312. https://doi.org/10.1017/s0033291705005891

Forbes, E. E., & Dahl, R. E. (2010). Pubertal development and behavior: Hormonal activation of social and motivational tendencies. Brain and Cognition, 72(1), 66–72. https://doi.org/10.1016/j.bandc.2009.10.007

Gauthier, S., Reisberg, B., Zaudig, M., Petersen, R. C., Ritchie, K., Broich, K., Belleville, S., Brodaty, H., Bennett, D., Chertkow, H., Cummings, J. L., de Leon, M., Feldman, H., Ganguli, M., Hampel, H., Scheltens, P., Tierney, M. C., Whitehouse, P., & Winblad, B. (2006). Mild cognitive impairment. The Lancet, 367(9518), 1262–1270. https://doi.org/10.1016/s0140-6736(06)68542-5

Ghetti, S., & Bunge, S. A. (2012). Neural changes underlying the development of episodic memory during middle childhood. Developmental Cognitive Neuroscience, 2(4), 381–395. https://doi.org/10.1016/j.dcn.2012.05.002

Giedd, J. N. (2004). Structural magnetic resonance imaging of the adolescent brain. Annals of the New York Academy of Sciences, 1021(1), 77–85. https://doi.org/10.1196/annals.1308.009

Gogtay, N., & Thompson, P. M. (2010). Mapping gray matter development: Implications for typical development and vulnerability to psychopathology. Brain and Cognition, 72(1), 6–15. https://doi.org/10.1016/j.bandc.2009.08.009

Isaacs, E. B., Gadian, D. G., Sabatini, S., Chong, W. K., Quinn, B. T., Fischl, B. R., & Lucas, A. (2008). The effect of early human diet on caudate volumes and IQ. Pediatric Research, 63(3), 308–314. https://doi.org/10.1203/pdr.0b013e318163a271

Jansen, K., & Kiefer, S. M. (2020). Understanding brain development: Investing in young adolescents’ cognitive and social-emotional development. Middle School Journal, 51(4), 18–25. https://doi.org/10.1080/00940771.2020.1787749

Karunanayaka, P. R., Holland, S. K., Schmithorst, V. J., Solodkin, A., Chen, E. E., Szaflarski, J. P., & Plante, E. (2007). Age-related connectivity changes in fmri data from children listening to stories. NeuroImage, 34(1), 349–360. https://doi.org/10.1016/j.neuroimage.2006.08.028

Knudsen, E. I. (2004). Sensitive periods in the development of the brain and behavior. Journal of Cognitive Neuroscience, 16(8), 1412–1425. https://doi.org/10.1162/0898929042304796

Lindenberger, U., & Ghisletta, P. (2009). Cognitive and sensory declines in old age: Gauging the evidence for a common cause. Psychology and Aging, 24(1), 1–16. https://doi.org/10.1037/a0014986

Luby, J. L., Barch, D. M., Belden, A., Gaffrey, M. S., Tillman, R., Babb, C., Nishino, T., Suzuki, H., & Botteron, K. N. (2012). Maternal support in early childhood predicts larger hippocampal volumes at school age. Proceedings of the National Academy of Sciences, 109(8), 2854–2859. https://doi.org/10.1073/pnas.1118003109

Luby, J., Belden, A., Botteron, K., Marrus, N., Harms, M. P., Babb, C., Nishino, T., & Barch, D. (2013). The effects of poverty on childhood brain development. JAMA Pediatrics, 167(12), 1135. https://doi.org/10.1001/jamapediatrics.2013.3139

Lövdén, M., Bäckman, L., Lindenberger, U., Schaefer, S., & Schmiedek, F. (2010). A theoretical framework for the study of adult cognitive plasticity. Psychological Bulletin, 136(4), 659–676. https://doi.org/10.1037/a0020080

McEwen, B. S., & Morrison, J. H. (2013). The brain on stress: Vulnerability and plasticity of the prefrontal cortex over the life course. Neuron, 79(1), 16–29. https://doi.org/10.1016/j.neuron.2013.06.028

Mulder, H., Verhagen, J., Van der Ven, S. H., Slot, P. L., & Leseman, P. P. (2017). Early executive function at age two predicts emergent mathematics and literacy at age five. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.01706

Nyberg, L., Lövdén, M., Riklund, K., Lindenberger, U., & Bäckman, L. (2012). Memory aging and brain maintenance. Trends in Cognitive Sciences, 16(5), 292–305. https://doi.org/10.1016/j.tics.2012.04.005

Olulade, O. A., Seydell-Greenwald, A., Chambers, C. E., Turkeltaub, P. E., Dromerick, A. W., Berl, M. M., Gaillard, W. D., & Newport, E. L. (2020). The neural basis of language development: Changes in lateralization over age. Proceedings of the National Academy of Sciences, 117(38), 23477–23483. https://doi.org/10.1073/pnas.1905590117

Paré, G., & Kitsiou, S. (2017). Methods for Literature Reviews. In F. Lau & C. Kuziemsky (Eds.), Handbook of eHealth Evaluation: An Evidence-based Approach. University of Victoria. Diunduh dari https://www.ncbi.nlm.nih.gov/books/NBK481583/ tanggal 2 Oktober 2023

Poldrack, R. A., & Packard, M. G. (2003). Competition among multiple memory systems: Converging evidence from Animal and Human Brain Studies. Neuropsychologia, 41(3), 245–251. https://doi.org/10.1016/s0028-3932(02)00157-4

Rosenberg-Lee, M., Chang, T. T., Young, C. B., Wu, S., & Menon, V. (2011). Functional dissociations between four basic arithmetic operations in the human posterior parietal cortex: A cytoarchitectonic mapping study. Neuropsychologia, 49(9), 2592–2608. https://doi.org/10.1016/j.neuropsychologia.2011.04.035

Saygin, Z. M., Norton, E. S., Osher, D. E., Beach, S. D., Cyr, A. B., Ozernov-Palchik, O., Yendiki, A., Fischl, B., Gaab, N., & Gabrieli, J. D. E. (2013). Tracking the roots of reading ability: White matter volume and integrity correlate with phonological awareness in prereading and early-reading Kindergarten Children. The Journal of Neuroscience, 33(33), 13251–13258. https://doi.org/10.1523/jneurosci.4383-12.2013

Schlegel, A. A., Rudelson, J. J., & Tse, P. U. (2012). White matter structure changes as adults learn a second language. Journal of Cognitive Neuroscience, 24(8), 1664–1670. https://doi.org/10.1162/jocn_a_00240

Skeide, M. A., & Friederici, A. D. (2016). The ontogeny of the cortical language network. Nature Reviews Neuroscience, 17(5), 323–332. https://doi.org/10.1038/nrn.2016.23

Tottenham, N., & Galván, A. (2016). Stress and the adolescent brain. Neuroscience & Biobehavioral Reviews, 70, 217–227. https://doi.org/10.1016/j.neubiorev.2016.07.030

Utevsky, A. V., Smith, D. V., & Huettel, S. A. (2014). Precuneus is a functional core of the default-mode network. The Journal of Neuroscience, 34(3), 932–940. https://doi.org/10.1523/jneurosci.4227-13.2014

Walker, M. P., & Stickgold, R. (2004). Sleep-dependent learning and memory consolidation. Neuron, 44(1), 121–133. https://doi.org/10.1016/j.neuron.2004.08.031

Published

2023-11-27

How to Cite

Intishar, I. N. (2023). Pengaruh Perkembangan Otak pada Kemampuan Kognitif dan Perilaku dari Masa Infansi hingga Dewasa: Tinjauan Terkini. Jurnal Sinestesia, 13(2), 1216–1223. Retrieved from https://www.sinestesia.pustaka.my.id/journal/article/view/480

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