The Brain Work Process: A Multidisciplinary Analysis of Neuroplasticity, Cognition, and Human Thought
DOI:
https://doi.org/10.61455/sicopus.v3i03.403Keywords:
brain function, cognitive process, neuroplasticity, thinking stages, mental performanceAbstract
Objective: This study aims to provide a comprehensive understanding of how the human brain functions in cognitive processes such as thinking, reasoning, and decision-making. Theoretical framework: The research is grounded in a theoretical framework that integrates neuroscience and cognitive psychology, focusing on brain structure, neural networks, and the dynamics of neuroplasticity. Literature review: The literature review explores the interconnectivity between various parts of the brain, such as the cerebrum, cerebellum, brainstem, hippocampus, and amygdala, and their roles in memory, emotion, perception, and high-order cognitive tasks. Methods: Employing a qualitative method through library research, this study synthesizes data from academic books, journal articles, dissertations, and digital resources. A descriptive-analytical approach was used to organize and interpret findings across themes, including memory processing, brain development, thinking stages, and influencing factors such as emotion, nutrition, and environmental conditions. Results: The findings reveal that brain function and cognitive thinking are deeply interconnected. The brain processes information through electrical and chemical signals, stores it in short- or long-term memory, and enables the execution of thought processes through structured phases: perception, attention, understanding, reasoning, decision-making, and evaluation. Neuroplasticity plays a critical role in allowing the brain to adapt and learn continuously throughout life. Implications: The study implies that optimizing brain health directly enhances thinking capabilities, which is essential for personal growth, learning, adaptability, and innovation. Practical implications span across education, healthcare, and mental performance strategies. This research contributes to bridging the scientific gap between biological brain function and human thought processes, offering valuable insights for designing brain-friendly environments, promoting lifelong learning, and fostering mental well-being in the digital age. Novelty: The novelty of this study lies in its multidisciplinary integration of neuroanatomy, behavioral science, and cognitive analysis, presented in a holistic and applicable manner.
References
S. O. Sappari et al., “The Content-Validated Geometry Lessons in Islam Observed Brain-based Learning,” Qubahan Acad. J., vol. 3, no. 4, pp. 153–168, 2023, https://doi.org/10.48161/qaj.v3n4a166.
E. A. Sribnick, T. Warner, and M. W. Hall, “Granulocyte-Macrophage Colony-Stimulating Factor Reverses Immunosuppression Acutely Following a Traumatic Brain Injury and Hemorrhage Polytrauma in a Juvenile Male Rat Model,” J. Neurotrauma, 2024, https://doi.org/10.1089/neu.2023.0169.
M. I. Garcia-Planas and M. V. Garcia-Camba, “Control theory tools for best understanding brain Learning Disorders,” in Proceedings - 2022 7th International Conference on Mathematics and Computers in Sciences and Industry, MCSI 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 96–100. https://doi.org/10.1109/MCSI55933.2022.00022.
J. H. Abraini, C. Bouquet, F. Joulia, M. Nicolas, and B. Kriem, “Cognitive performance during a simulated climb of Mount Everest: Implications for brain function and central adaptive processes under chronic hypoxic stress,” Pflugers Arch. Eur. J. Physiol., vol. 436, no. 4, pp. 553–559, 1998, https://doi.org/10.1007/s004240050671.
P. Chu Sin Chung and B. L. Kieffer, “Delta opioid receptors in brain function and diseases,” Pharmacology and Therapeutics, vol. 140, no. 1. Elsevier Inc., pp. 112–120, 2013. https://doi.org/10.1016/j.pharmthera.2013.06.003.
S. Pei, Y. Wang, Z. Lv, and C. Zhang, “Transformer Based Multi-view Learning for Interagting Static and Dynamic Complementarity of Brain Function,” in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, R. B.D., T. I., S. G., and M. N.B., Eds., Institute of Electrical and Electronics Engineers Inc., 2025. https://doi.org/10.1109/ICASSP49660.2025.10887907.
M. T. Bianchi, V. Caviness, and S. S. Cash, Network approaches to diseases of the brain. Bentham Science Publishers Ltd., 2012. https://doi.org/10.2174/97816080501781120101.
D. Yao et al., “A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity,” IEEE Trans. Med. Imaging, vol. 40, no. 4, pp. 1279–1289, 2021, https://doi.org/10.1109/TMI.2021.3051604.
W. Yin, L. Li, and F. X. Wu, “Deep learning for brain disorder diagnosis based on fMRI images,” Neurocomputing, vol. 469, pp. 332–345, 2022, https://doi.org/10.1016/j.neucom.2020.05.113.
J. Keller, E. Ruthruff, P. Keller, R. Hoy, N. Gaspelin, and K. Bertolini, “Your Brain Becomes a Rainbow: Perceptions and Traits of 4th-Graders in a School-Based Mindfulness Intervention,” J. Res. Child. Educ., vol. 31, no. 4, pp. 508–529, 2017, https://doi.org/10.1080/02568543.2017.1343212.
A. Z. Ibrahim, P. Prakash, V. Sakthivel, and P. Prabu, “Integrated Approach of Brain Disorder Analysis by Using Deep Learning Based on DNA Sequence,” Comput. Syst. Sci. Eng., vol. 45, no. 3, pp. 2447–2460, 2023, https://doi.org/10.32604/csse.2023.030134.
Y. Zong, Q. Zuo, M. K. P. Ng, B. Lei, and S. Wang, “A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 46, no. 12, pp. 10389–10403, 2024, https://doi.org/10.1109/TPAMI.2024.3442811.
J. T. Teo, S. J. Johnstone, and S. J. Thomas, “Brain and heart activity during interactions with pet dogs: A portable electroencephalogram and heart rate variability study,” Int. J. Psychophysiol., vol. 204, 2024, https://doi.org/10.1016/j.ijpsycho.2024.112412.
D. Dahuri, “Pendidikan Karakter sebagai Pendidikan Otak perspektif Kajian Neurosains Spiritual,” J. Ilmu Pendidik. dan Sains Islam Interdisip., vol. 2, no. 2, pp. 76–85, 2023, https://doi.org/10.59944/jipsi.v2i2.106.
R. A. A. Al-Mashhadi, “Effectiveness of SWOT and Kaizen in the dominance of the brain and the hypocritical personality of physical education students,” Ann. Appl. Sport Sci., vol. 7, no. 3, 2019, https://doi.org/10.29252/aassjournal.768.
M. S. Amin, “Perbedaan Struktur Otak dan Perilaku Belajar Antara Pria dan Wanita; Eksplanasi dalam Sudut Pandang Neuro Sains dan Filsafat,” J. Filsafat Indones., vol. 1, no. 1, p. 38, 2018, https://doi.org/10.23887/jfi.v1i1.13973.
W. Yuliani, “Metode Penelitian Deskriptif Kualitatif Dalam Perspektif Bimbingan Dan Konseling,” QUANTA J. Kaji. Bimbing. dan Konseling dalam Pendidik., vol. 2, no. 2, pp. 1–10, 2018, https://doi.org/10.22460/q.v2i1p21-30.642.
S. Y. L. Tumangkeng and J. B. Maramis, “Kajian Pendekatan Fenomenologi : Literature Review,” J. Pembang. Ekon. Dan Keuang. Drh., vol. 23, no. 1, pp. 14–32, 2022, https://doi.org/10.35794/jpekd.41379.23.1.2022.
D. Susanto, Risnita, and M. S. Jailani, “Teknik Pemeriksaan Keabsahan Data Dalam Penelitian Ilmiah,” J. QOSIM J. Pendidikan, Sos. Hum., vol. 1, no. 1, pp. 53–61, 2023, https://doi.org/10.61104/jq.v1i1.60.
H. Zukriadi, Sulaiman, U., “Aneka Macam Penelitian,” SAMBARA J. Pengabdi. Kpd. Masy., vol. 1, no. 1, pp. 36–46, 2023, https://doi.org/10.58540/sambarapkm.v1i1.157.
R. Surayya, “Pendekatan Kualitatif Dalam Penelitian Kesehatan,” AVERROUS J. Kedokt. Dan Kesehat. Malikussaleh, vol. 1, no. 2, p. 75, 2018, https://doi.org/10.29103/averrous.v1i2.415.
A. Sholikhah, “Statistik Deskriptif Dalam Penelitian Kualitatif,” KOMUNIKA J. Dakwah dan Komun., vol. 10, no. 2, pp. 342–362, 2016, https://doi.org/10.24090/komunika.v10i2.953.
A. K. Tamin, “Telaah Konsep Otak Dalam Al-Qur’an,” Tanzil J. Stud. Al-Quran, vol. 5, no. 1, pp. 15–28, 2022, https://doi.org/10.20871/tjsq.v5i1.190.
M. R. Abdul, “Ibu Sebagai Madrasah Bagi Anaknya: Pemikiran Pendidikan R.A. Kartini,” J. Islam. Educ. Policy, vol. 5, no. 2, pp. 91–98, 2020, https://doi.org/10.30984/jiep.v5i2.1350.
R. Afria Nursa and S. Suyadi, “Konsep Akal Bertingkat Al-Farabi Dalam Teori Neurosains Dan Relevansinya Dengan Pendidikan Islam,” Tawazun J. Pendidik. Islam, vol. 13, no. 1, p. 1, 2020, https://doi.org/10.32832/tawazun.v13i1.2757.
M. E. Rodríguez-García et al., “Neuroplasticity changes in cortical activity, grey matter, and white matter of stroke patients after upper extremity motor rehabilitation via a brain-computer interface therapy program,” J. Neural Eng., vol. 22, no. 2, 2025, https://doi.org/10.1088/1741-2552/adbebf.
W. Yan, Y. Lin, Y. F. Chen, Y. Wang, J. Wang, and M. Zhang, “Enhancing Neuroplasticity for Post-Stroke Motor Recovery: Mechanisms, Models, and Neurotechnology,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 33, pp. 1156–1168, 2025, https://doi.org/10.1109/TNSRE.2025.3551753.
X. Liu, S. Qi, L. Hou, Y. Liu, and X. Wang, “Noninvasive Deep Brain Stimulation via Temporal Interference Electric Fields Enhanced Motor Performance of Mice and Its Neuroplasticity Mechanisms,” Mol. Neurobiol., vol. 61, no. 6, pp. 3314–3329, 2024, https://doi.org/10.1007/s12035-023-03721-0.
J. M. Schandorff et al., “Multivariate associations between structural brain changes and cognitive impairment in partially or fully remitted persons with bipolar disorder,” Prog. Neuro-Psychopharmacology Biol. Psychiatry, vol. 140, 2025, https://doi.org/10.1016/j.pnpbp.2025.111425.
W. Yao et al., “Associations between the multitrajectory neuroplasticity of neuronavigated rTMS-mediated angular gyrus networks and brain gene expression in AD spectrum patients with sleep disorders,” Alzheimer’s Dement., vol. 20, no. 11, pp. 7885–7901, 2024, https://doi.org/10.1002/alz.14255.
N. P. T. Jacobs et al., “Structural brain correlates of balance control in children with cerebral palsy: baseline correlations and effects of training,” Brain Struct. Funct., vol. 230, no. 5, 2025, https://doi.org/10.1007/s00429-025-02937-1.
H. Demirtas et al., “Effects of oxytocin on behavior and neurotrophic factors in the brain of aged female rats exposed to chronic social isolation,” Neuropeptides, vol. 112, 2025, https://doi.org/10.1016/j.npep.2025.102532.
H. H. Chan et al., “Carry-Over Effect of Deep Cerebellar Stimulation-Mediated Motor Recovery in a Rodent Model of Traumatic Brain Injury,” Neurorehabil. Neural Repair, vol. 38, no. 11–12, pp. 808–819, 2024, https://doi.org/10.1177/15459683241277194.
C. Zhou, G. Yang, Y. Wang, R. Zhu, and D. Zhu, “TaiChi-MSS protocol: enhancing cognitive and brain function in MCI patients through Tai Chi exercise combined with multisensory stimulation,” Front. Aging Neurosci., vol. 17, 2025, https://doi.org/10.3389/fnagi.2025.1514127.
F. Biggio et al., “Mixing energy drinks and alcohol during adolescence impairs brain function: A study of rat hippocampal plasticity,” Neuropharmacology, vol. 254, 2024, https://doi.org/10.1016/j.neuropharm.2024.109993.
I. Quiñones et al., “Unveiling the neuroplastic capacity of the bilingual brain: insights from healthy and pathological individuals,” Brain Struct. Funct., vol. 229, no. 9, pp. 2187–2205, 2024, https://doi.org/10.1007/s00429-024-02846-9.
P. Theotokis, “Human Brain Inspired Artificial Intelligence Neural Networks,” J. Integr. Neurosci., vol. 24, no. 4, 2025, https://doi.org/10.31083/JIN26684.
I. Erkizia-Santamaría et al., “Evaluation of behavioural and neurochemical effects of psilocybin in mice subjected to chronic unpredictable mild stress,” Transl. Psychiatry, vol. 15, no. 1, 2025, https://doi.org/10.1038/s41398-025-03421-4.
E. Sanches et al., “Early intensive rehabilitation reverses locomotor disruption, decreases brain inflammation and induces neuroplasticity following experimental Cerebral Palsy,” Brain. Behav. Immun., vol. 121, pp. 303–316, 2024, https://doi.org/10.1016/j.bbi.2024.08.005.
Á. Escolà-Gascón, “Our brains sense the future through a new quantum-like implicit learning mechanism,” Brain Res. Bull., vol. 216, 2024, https://doi.org/10.1016/j.brainresbull.2024.111048.
Q. Ye, X. Wang, T. Li, J. Xu, and X. Ye, “Clinical efficacy of NIBS in enhancing neuroplasticity for stroke recovery,” J. Neurosci. Methods, vol. 417, 2025, https://doi.org/10.1016/j.jneumeth.2025.110399.
N. Chechko and S. Nehls, “Maternal neuroplasticity and mental health during the transition to motherhood,” Nat. Ment. Heal., vol. 3, no. 4, pp. 396–401, 2025, https://doi.org/10.1038/s44220-025-00399-2.
