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Çevrimiçi Olmanın Beyin İçin Maliyeti: Çalışan Bellek Niteliklerinin Değişimi, İlişkili Üstbilişsel Bilgi ve Uzun Süreli Bilgi İşleme

Year 2025, Volume: 17 Issue: 1, 166 - 178, 31.03.2025
https://doi.org/10.18863/pgy.1433144

Abstract

Sinir bilimi ve psikolojik bilimlerden elde edilen birleşen kanıtlar, yoğun internet kullanımı sırasındaki sürekli duyusal uyarılmanın beyin fonksiyonlarını geniş ölçekte etkilediğini göstermektedir. Bu, temel hafızayı içerir ve üstbilişsel işlevler, uyum sağlayıcı davranış ve öğrenme süreçleri için kritik olan sağlık ve bozukluklara kadar uzanır. Bu çalışma, yoğun internet kullanımı ile beynin sinirsel ve davranışsal düzeydeki tepkileri arasındaki ilişkiyi, bazı çalışma belleği özellikleri ve ilişkili üstbilişsel işlevler ve uzun süreli bellek işleme yoluyla göstermeyi amaçlamaktadır. Buna göre, fonksiyonel magnetik resonans görüntüleme (fMRI) çalışmaları, yoğun bir şekilde çevrimiçi olmanın Anterior Singulat Korteks, Dorsolateral Prefrontal Korteks, Orbitofrontal Korteks, Medial ve Medial frontal Girus, ventral striatum ve frontal, medial ve parietal alanları içeren dinamik bağlantı yolları ile bellek ve üstbilişsel işlevler için önemli olan Varsayılan Mod Ağı ve Görev Ağı ağlarındaki aktivasyon düzeyleri üzerinde etkili olduğunu göstermektedir. Bu bağlamda, özellikle yoğun internet kullanım alışkanlıkları çalışma belleği, üstbiliş ve uzun süreli bellek süreçlerini etkilemektedir. Buna göre, bilgi ipuçlarının seçimi, bilginin manipülasyonu ve tutulması ve dikkat kontrolü; kişinin mevcut bilgisini değerlendirmesi ve öğrenme süreçlerinin düzenlenmesi; uzun süreli bellek süreçleri için bilginin kodlanması, birleştirilmesi ve geri getirilmesi gibi bazı bilişsel özellikler etkilenen özelliklerdir. Sonuç olarak, yoğun internet kullanımının öğrenme üzerinde kritik bir etkisi vardır.

Ethical Statement

Bu çalışmada deneysel herhangi bir uygulama bulunmamaktadır.

Thanks

Bu çalışmaya katkılarından dolayı Doç. Dr. Erol Özçelik'e teşekkür ederim.

References

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Cost of Being Online for Brain: Changing Working Memory Attributes, Associated Metacognitive Knowledge and Long-Term Memory Processing

Year 2025, Volume: 17 Issue: 1, 166 - 178, 31.03.2025
https://doi.org/10.18863/pgy.1433144

Abstract

Converging evidence from neuroscience and psychological sciences demonstrates that continuous sensory stimulation within the intensive internet use affects brain functioning on a broad scale. This includes essential memory, and metacognitive functions extend to the healthiness and disorders which are critical for the adaptive behavior and learning processes. This study aims to show the relation between intensive internet use and the responds of the brain in neural and behavioral levels through some working memory attributes and associated metacognitive functions and long-term memory processing. Accordingly, functional magnetic resonance imaging (fMRI) studies suggest that being online intensively has an impact on activation levels in Anterior Cingulate Cortex, Dorsolateral Prefrontal Cortex, Orbitofrontal Cortex, Medial and Medial frontal Gyrus, ventral striatum, and the dynamic connectivity pathways including frontal, medial and parietal networks such as Default Mode Network and Task Network which are important for memory and metacognitive functions. Moreover, intensive internet use habits affect some cognitive skills such as the selection of information cues, manipulation and retention of the information and attentional control; evaluation of one’s present knowledge, and regulation of the learning processes for; encoding, consolidation and retrieval of information for long-term memory processes are the effected features. As a conclusion, intensive internet use has a critical impact on neural processes in modular and whole brain level and could play a strong role for the alteration of memory and metacognitive processes.

References

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  • Ariffin K, Halim A, Darus A (2021) Discovering students’ strategies in learning English online. Asian Journal of University Education, 17:261-268.
  • Aydın O, Güçlü M, Ünal-Aydın P, Spada M (2020) Metacognitions and emotion recognition in internet gaming disorder among adolescents. Addict Behav Rep, 12:100296.
  • Baddeley AD, Hitch GJ (2000) Development of working memory: should the pascual-leone and the baddeley and hitch models be merged? J Exp Child Psychol, 77:128–137.
  • Baird B, Smallwood, J Gorgolewski, J Margulies S (2013) Medial and lateral networks in anterior prefrontal cortex support metacognitive ability for memory and perception. J Neurosci, 33:16657–16665.
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  • Banich MT, Compton RJ (2018) Cognitive Neuroscience. Cambridge, Cambridge University Press.
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  • Casale S, Fioravanti G, Spada MM (2021) Modelling the contribution of metacognitions and expectancies to problematic smartphone use. J Behav Addict, 10:788–798.
  • Chen H, Dong, G, Li K (2023) Overview on brain function enhancement of internet addicts through exercise intervention: based on reward-execution-decision cycle. Front Psychiatry, 14:1094583.
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  • De Baene W, Kühn S, Brass M (2012) Challenging a decade of brain research on task switching: brain activation in the task-switching paradigm reflects adaptation rather than reconfiguration of task sets. Hum Brain Mapp, 33:639–651.
  • Dong G, Huang J, Du X (2011) Enhanced reward sensitivity and decreased loss sensitivity in internet addicts: an fMRI study during a guessing task. J Psychiatr Res, 45:1525–1529.
  • Dong, G, Li, H, Potenza, MN (2017) Short-term internet-search training is associated with increased fractional anisotropy in the superior longitudinal fasciculus in the parietal lobe. Front Neurosci, 11:372.
  • Dong G, Potenza MN (2015) Behavioural and brain responses related to internet search and memory. Eur J Neurosci, 42:2546–2554.
  • Dong G, Potenza MN (2016) Short-term internet-search practicing modulates brain activity during recollection. Neuroscience, 335:82–90.
  • Ertmer PA, Newby TJ (1996) The expert learner: strategic, self-regulated, and reflective. Instr Sci, 24:1–24.
  • Essex BG, Clinton SA, Wonderley LR, Zald DH (2012) The Impact of the posterior parietal and dorsolateral prefrontal cortices on the optimization of long-term versus immediate value. J Neurosci, 32:15403–15413.
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  • Finley JR, Naaz F (2022) Strategic use of internal and external memory in everyday life: Episodic, semantic, procedural, and prospective purposes. Memory, 31:108-126.
  • Firth JA, Torous J, Firth J (2020) Exploring the impact of internet use on memory and attention processes. Int J Environ Res Public Health, 17:9481.
  • Fisher M, Goddu MK, Keil FC (2015) Searching for explanations: How the Internet inflates estimates of internal knowledge. J Exp Psychol Gen, 144:674–687.
  • Fisher M, Smiley AH, Grillo TLH (2022) Information without knowledge: the effects of internet search on learning. Memory, 30:375–387.
  • Fleming SM, Dolan RJ (2014) The neural basis of metacognitive ability. In The Cognitive Neuroscience of Metacognition (Eds S. M Fleming, CD Frith):245–265. Cham, Springer.
  • Fleming SM, Lau, HC (2014) How to measure metacognition. Front Hum Neurosci, 8:443.
  • Fleur DS, Bredeweg B, van den Bos W (2021) Metacognition: ideas and insights from neuro- and educational sciences. NPJ Sci Learn, 6:13.
  • Fujiwara H, Tsurumi K, Shibata M, Kobayashi K, Miyagi T, Ueno T et al. (2022) Life habits and mental health: behavioural addiction, health benefits of daily habits, and the reward system. Front Psychiatry, 13:813507.
  • Gazzaniga MS, Ivry R, Mangun GR (2019) Cognitive Neuroscience: The Biology of the Mind. 5th ed. New York, W.W. Norton.
  • Gippert SM (2022) Veränderungen im Belohnungssystem bei Depression (Docotoral thesis). Bonn, Rheinische Friedrich-Wilhelms- Universitat.
  • Goldstein RZ, Volkow ND (2011). Dysfunction of the prefrontal cortex in addiction: Neuroimaging findings and clinical implications. Nat Rev Neurosci, 12:652-659.
  • Gough D, Thomas J, Oliver S (2012) Clarifying differences between review designs and methods. Syst Rev, 8:170.
  • Hamidi F, Ghasedi J (2020) Cognitive and metacognitive impairments of drug addicted, internet addicted and normal individuals in youth ages: a comparative study. Int J High Risk Behav Addict, 9:e95400.
  • Hamilton KA, Yao MZ(2018) Blurring boundaries: effects of device features on metacognitive evaluations. Comput Hum Behav Rep, 89:213–220.
  • Han SW, Kim CH (2022) Neurocognitive mechanisms underlying internet/smartphone addiction: a preliminary fMRi study. Tomography, 8:1781-1790.
  • Hong SB, Kim JW, Choi EJ, Kim HH, Suh JE, Kim CD et al. (2013) Reduced orbitofrontal cortical thickness in male adolescents with internet addiction. Behav Brain Funct, 9:11.
  • Hu X, Luo L, Fleming SM (2019) A role for metamemory in cognitive offloading. Cognition, 193:104012.
  • Jiang S, Wang S, Wan X (2022) Metacognition and mentalizing are associated with distinct neural representations of decision uncertainty. PLOS Biol, 20:e3001301.
  • Kandel ER, Koester J, Mack S, Siegelbaum S (2021) Principles of Neural Science. 6th ed. New York, McGraw Hill.
  • Kang E (2022) Easily accessible but easily forgettable: How ease of access to information online affects cognitive miserliness. J Exp Psychol Appl, 29:620–630.
  • Kroger J, Kim C (2022) Frontopolar cortex specializes for manipulation of structured information. Front Syst Neurosci, 16:788395.
  • Kühn S, Gallinat J (2015) Brains online: structural and functional correlates of habitual internet use. Addict Biol, 20:415–422.
  • Kurniasanti KS, Assandi P, Ismail RI, Nasrun MWS, Wiguna T (2019) Internet addiction: a new addiction? Medical Journal of Indonesia, 28:82–91.
  • Lee D, Park J, Namkoong K, Kim IY, Jung YC (2018) Gray matter differences in the anterior cingulate and orbitofrontal cortex of young adults with internet gaming disorder: Surface-based morphometry. J Behav Addict, 7:21–30.
  • Lenartowicz A, McIntosh AR (2005) The Role of anterior cingulate cortex in working memory is shaped by functional connectivity. J Cogn Neurosci, 17:1026–1042.
  • Liu X, Lin X, Zheng M, Hu Y, Wang Y, Wang L et al. (2018) Internet search alters intra- and inter-regional synchronization in the temporal gyrus. Front Psychol, 9:260.
  • Loh KK, Kanai R. (2014) Higher media multi-tasking activity is associated with smaller gray-matter density in the anterior cingulate cortex. PLoS One, 9:e106698.
  • Loh KK, Kanai R. (2016) How has the internet reshaped human cognition? Neuroscientist, 22:506–520.
  • Lorenz-Spreen P, Mønsted BM, Hövel P Lehmann S. (2019) Accelerating dynamics of collective attention. Nat Commun, 10:1759.
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There are 88 citations in total.

Details

Primary Language English
Subjects Cognition, Memory and Attention, Cognitive Neuroscience
Journal Section Review
Authors

Alp Eren Yüce 0000-0002-8181-9610

Publication Date March 31, 2025
Submission Date February 7, 2024
Acceptance Date July 3, 2024
Published in Issue Year 2025 Volume: 17 Issue: 1

Cite

AMA Yüce AE. Cost of Being Online for Brain: Changing Working Memory Attributes, Associated Metacognitive Knowledge and Long-Term Memory Processing. Psikiyatride Güncel Yaklaşımlar - Current Approaches in Psychiatry. March 2025;17(1):166-178. doi:10.18863/pgy.1433144

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