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Heart–Brain Dynamics in Analytical and Non-Analytical Intuition: A Study of HRV and EEG Correlates

Yıl 2025, Cilt: 5 Sayı: 2, 132 - 155, 20.12.2025
https://doi.org/10.59041/eyor.1780704

Öz

This study investigates the physiological correlates of intuitive processes by examining the relationship between heart rate variability (HRV), electroencephalogram (EEG) activity, and two types of perception: analytical (AP) and non-analytical (NAP). A sample of 110 healthy university students completed tasks designed to measure AP and NAP under both resting and testing conditions, while HRV and EEG data were simultaneously recorded. Correlational analyses revealed that higher AP scores were positively associated with HRV indices such as RMSSD, PNN50, HF power, and HRV mean during rest, indicating a connection between analytical intuition and parasympathetic regulation. In contrast, NAP scores were negatively correlated with most HRV indices during testing, while positively associated with mean heart rate, suggesting heightened arousal and reduced autonomic flexibility. EEG analyses showed no significant brain wave correlates for AP, but trend-level differences in gamma variability were noted. NAP performance was associated with increased high beta activity and alpha peak frequency variability, indicating greater cortical arousal and modulation. Group comparisons revealed significant physiological differences between high and low performers, especially in HRV during testing and in EEG patterns at rest. Stepwise regression identified HRV mean, LF peak, broad beta mean, and SMR variability as significant predictors of NAP scores, explaining 17.3% of the variance. No significant predictors emerged for AP. These findings suggest that AP and NAP are supported by distinct physiological states, with AP linked to baseline autonomic stability and NAP to dynamic arousal and neural flexibility. The study offers empirical support for a dual-process view of intuition grounded in heart-brain interaction.

Kaynakça

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  • Bechara, A., & Damasio, A. R. (2005). The somatic marker hypothesis: A neural theory of economic decision. Games and Economic Behavior, 52(2), 336–372. https://doi.org/10.1016/j.geb.2004.06.010
  • Berkant, G. H., Bahadır, S., Şanal, N. (2022). Sezgisel Düşünme Ölçeğinin Geliştirilmesi: Geçerlik ve Güvenirlik Çalışması. Elektronik Sosyal Bilimler Dergisi. 21 (84) 1569 – 1592. https://doi.org/10.17755/esosder.1110971
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  • Cheng, K.S., Croarkin, P.E. & Lee, P.F. (2019). Heart Rate Variability of Various Video-Aided Mindful Deep Breathing Durations and Its Impact on Depression, Anxiety, and Stress Symptom Severity. Mindfulness 10(10), 2082–2094. https://doi.org/10.1007/s12671-019-01178-8
  • Chhetri, P., Shrestha, L., & Mahotra, N. B. (2022). Validity of Elite-HRV Smartphone Application for Measuring Heart Rate Variability Compared to Polar V800 Heart Rate Monitor. Journal of Nepal Health Research Council, 19(4), 809–813. https://doi.org/10.33314/jnhrc.v19i04.3949
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Heart–Brain Dynamics in Analytical and Non-Analytical Intuition: A Study of HRV and EEG Correlates

Yıl 2025, Cilt: 5 Sayı: 2, 132 - 155, 20.12.2025
https://doi.org/10.59041/eyor.1780704

Öz

Bu çalışma, sezgisel süreçlerin fizyolojik karşılıklarını incelemek amacıyla kalp atım hızı değişkenliği (HRV), elektroensefalogram (EEG) aktivitesi ile iki algı türü—analitik (AP) ve analitik olmayan (NAP)—arasındaki ilişkiyi araştırmaktadır. Çalışmaya katılan 110 sağlıklı üniversite öğrencisi, hem dinlenme hem de test koşullarında AP ve NAP’ı ölçmek üzere tasarlanmış görevleri tamamlamış, bu sırada HRV ve EEG verileri eşzamanlı olarak kaydedilmiştir. Korelasyon analizleri, yüksek AP puanlarının, dinlenme sırasında RMSSD, PNN50, HF gücü ve HRV ortalaması gibi HRV göstergeleriyle pozitif yönde ilişkili olduğunu ortaya koymuştur. Bu bulgu, analitik sezginin parasempatik düzenleme ile bağlantılı olduğunu göstermektedir. Buna karşılık, NAP puanları test sırasında çoğu HRV göstergesiyle negatif yönde, ortalama kalp atım hızıyla ise pozitif yönde ilişkili bulunmuş; bu durum, artmış uyarılma ve azalmış otonom esneklik ile ilişkilendirilmiştir. EEG analizlerinde AP için anlamlı bir beyin dalgası ilişkisi saptanmamış, ancak gama değişkenliği düzeyinde farklılıklar gözlenmiştir. NAP performansı ise artmış yüksek beta aktivitesi ve alfa tepe frekansı değişkenliği ile ilişkili bulunmuş, bu da artmış kortikal uyarılma ve modülasyonu işaret etmektedir. Grup karşılaştırmaları, özellikle test sırasında HRV ve dinlenme sırasında EEG desenlerinde, yüksek ve düşük performans gösterenler arasında belirgin fizyolojik farklılıklar ortaya koymuştur. Adımsal regresyon analizinde, HRV ortalaması, LF tepe değeri, geniş beta ortalaması ve SMR değişkenliği NAP puanlarının anlamlı yordayıcıları olarak belirlenmiş ve varyansın %17,3’ünü açıklamıştır. AP için anlamlı bir yordayıcı elde edilmemiştir. Bulgular, AP ve NAP’ın farklı fizyolojik durumlarla desteklendiğini; AP’nin temel otonom istikrarla, NAP’ın ise dinamik uyarılma ve nöral esneklikle ilişkili olduğunu göstermektedir. Bu çalışma, sezgilerin kalp-beyin etkileşimine dayalı çift süreçli bir modele ilişkin ampirik kanıtlar sunmaktadır.

Etik Beyan

Bu araştırmanın planlanmasından uygulanmasına, verilerin toplanmasından verinin analizine kadar olan tüm süreçte "Yükseköğretim Kurumları Bilimsel Araştırma ve Yayın Etiği Yönergesi" kapsamında uyulması belirtilen tüm kurallara uyulmuştur. Yönergenin ikinci bölümü olan "Bilimsel Araştırma ve Yayın Etiğine Aykırı Eylemler" başlığı altında belirtilen eylemlerden hiçbiri gerçekleştirilmemiştir. Çalışmanın yazım sürecinde bilimsel etik ve alıntı kurallarına uyulmuş, toplanan veriler üzerinde herhangi bir tahrifat yapılmamış ve bu çalışma herhangi başka bir akademik yayın ortamına değerlendirme için gönderilmemiştir.

Destekleyen Kurum

Yoktur

Teşekkür

Yoktur

Kaynakça

  • Armour, J.A. and Ardell, J.L. (1994). Neurocardiology, Oxford University Press: New York.
  • Azhari, A. and Hernandez, L. (2016). Brainwaves feature classification by applying k-means clustering using single-sensor eeg. International Journal of Advances in Intelligent Informatics, 2(3), 167. https://doi.org/10.26555/ijain.v2i3.86
  • Bechara, A., & Damasio, A. R. (2005). The somatic marker hypothesis: A neural theory of economic decision. Games and Economic Behavior, 52(2), 336–372. https://doi.org/10.1016/j.geb.2004.06.010
  • Berkant, G. H., Bahadır, S., Şanal, N. (2022). Sezgisel Düşünme Ölçeğinin Geliştirilmesi: Geçerlik ve Güvenirlik Çalışması. Elektronik Sosyal Bilimler Dergisi. 21 (84) 1569 – 1592. https://doi.org/10.17755/esosder.1110971
  • Bernstein, P. (2005). Intuition: what science says (so far) about how and why intuition works. Endophysics, Time, Quantum and the Subjective, pp. 487-506. https://doi.org/10.1142/9789812701596_0026
  • Bibika M. U. (2024). Gerçekliğin Bütününe Ancak Sezgi Yoluyla Ulaşırız- Henri Bergson. Destek Yayınları. ISBN: 9786256608689
  • Cai Shi., A. T. M., & Lucietto, A. M. (2021, July). Assessing Intuition Used Among Undergraduate Engineering Technology and Engineering Students. In 2021 ASEE Virtual Annual Conference Content Access.
  • Cai Shi, A.T.M., & Lucietto, A.M. (2022). The preference of the use of intuition over other methods of problem solving by undergraduate students. The European Educational Researcher, 5(3), 253–275. https://doi.org/10.31757/euer.532 Cantin, M. and Genest, J. (1988). The heart as an endocrine gland. Pharmacol Res Commun,. 20 Suppl 3: p. 1-22. https://doi.org/10.1016/S0031-6989(88)80103-6
  • Campbell, E. M., Kantor, J., Kantorová, L., Svobodová, Z., & Wosch, T. (2021). Tactile low frequency vibration in dementia management: a scoping review protocol. International Journal of Environmental Research and Public Health, 18(4), 1904. https://doi.org/10.3390/ijerph18041904
  • Cheng, K.S., Croarkin, P.E. & Lee, P.F. (2019). Heart Rate Variability of Various Video-Aided Mindful Deep Breathing Durations and Its Impact on Depression, Anxiety, and Stress Symptom Severity. Mindfulness 10(10), 2082–2094. https://doi.org/10.1007/s12671-019-01178-8
  • Chhetri, P., Shrestha, L., & Mahotra, N. B. (2022). Validity of Elite-HRV Smartphone Application for Measuring Heart Rate Variability Compared to Polar V800 Heart Rate Monitor. Journal of Nepal Health Research Council, 19(4), 809–813. https://doi.org/10.33314/jnhrc.v19i04.3949
  • Chudnoff, E. (2013). Intuition. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199589760.001.0001
  • Chudnoff, E. (2019). In Search of Intuition. Australasian Journal of Philosophy, 98(3):1-16 DOI: 10.1080/00048402.2019.1658121
  • Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.
  • Damasio, A. R. (1994). Descartes’ Error: Emotion Reason, and the Human Brain. Avon Books.
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  • Laurman, J. (2023). Assessing the efficacy of an intervention aimed at increasing heart rate variability and decreasing perceived stress in individuals with personality disorders - A single case experimental design pilot study. Master Thesis Dissertaion. Faculty of Behavioural, Management and Social Sciences, University Twente
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  • Mäkikallio, T. H., Seppänen, T., Airaksinen, K. E. J., Koistinen, J., Tulppo, M. P., & Huikuri, H. V. (1999). Dynamic analysis of heart rate may predict subsequent ventricular tachycardia after myocardial infarction. American Journal of Cardiology, 83(6), 836–839.
  • McCraty, R. (2000). Psychophysiological Coherence: A Link Between Positive Emotions, Stress Reduction, Performance and Health Paper presented at the American Psychological Association 109th Annual Convention, Symposium on Gratitude and Positive Emotionality as Links Between Social and Clinical Science, San Francisco, CA,
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  • McCraty, R., M. Atkinson, M., and Bradley, R.T. (2004b). Electrophysiological evidence of intuition: Part 2. A system-wide process? Journal of Alternative and Complementary Medicine, (New York, N.Y.) 10(2): p. 325-336. https://doi.org/10.1089/107555304322849057
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  • Mulukom, V. (2024). Sense-sational acting: Intuition in actors is supported by interoceptive, exteroceptive, and immersive abilities. Psychology of Aesthetics, Creativity, and the Arts. Advance online publication. https://doi.org/10.1037/aca0000655
  • Nado, J. (2014). Why intuition? Philosophy and Phenomenological Research, 89(1), 15–41. https://www.jstor.org/stable/24672978
  • Nazari, M., Mosanezhad, E., Hashemi, T., & Jahan, A. (2012). The effectiveness of neurofeedback training on eeg coherence and neuropsychological functions in children with reading disability. Clinical EEG and Neuroscience, 43(4), 315-322. https://doi.org/10.1177/1550059412451880
  • Nunez, P. L., & Srinivasan, R. (2006). A theoretical basis for standing and traveling brain waves measured with human EEG with implications for an integrated consciousness. Clinical neurophysiology: Official journal of the International Federation of Clinical Neurophysiology, 117(11), 2424–2435. https://doi.org/10.1016/j.clinph.2006.06.754
  • Palser, E., Glass, J., Fotopoulou, A., & Kilner, J. (2021). Relationship between cardiac cycle and the timing of actions during action execution and observation. Cognition, 217, 104907. https://doi.org/10.1016/j.cognition.2021.104907
  • Patton, J. R. (2003). Intuition in decisions. Management Decision, 41(10), 989–996. https://doi.org/10.1108/00251740310509517
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  • Uyulan, Ç., GÜMÜŞ>, A., & Güleken, Z. (2022). Eeg-induced fear-type emotion classification through wavelet packet decomposition, wavelet entropy, and svm. Hittite Journal of Science & Engineering, 9(4), 241-251. https://doi.org/10.17350/hjse19030000277
  • Warmbrodt, A., Timmers, R., & Kirk, R. (2021). The emotion trajectory of self-selected jazz music with lyrics: a psychophysiological perspective. Psychology of Music, 50(3), 756-778. https://doi.org/10.1177/03057356211024336
  • Ziaee, S., Fadardi, J., Cox, W., & Yazdi, S. (2016). Effects of attention control training on drug abusers’ attentional bias and treatment outcome. Journal of Consulting and Clinical Psychology, 84(10), 861-873. https://doi.org/10.1037/a0040290
  • Zion-Golumbic, E. (2007) What is EEG? The Department of Psychology and the Department of Cognitive Science. Hebrew University of Jerusalem retrieved from https://brain.org.il/articles/faces-e.pdf on 18th April 2024
Toplam 71 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Eğitimin Psikolojik Temelleri
Bölüm Araştırma Makalesi
Yazarlar

İsmet Şahin 0000-0002-2268-9289

Gönderilme Tarihi 9 Eylül 2025
Kabul Tarihi 20 Kasım 2025
Yayımlanma Tarihi 20 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 5 Sayı: 2

Kaynak Göster

APA Şahin, İ. (2025). Heart–Brain Dynamics in Analytical and Non-Analytical Intuition: A Study of HRV and EEG Correlates. Education & Youth Research, 5(2), 132-155. https://doi.org/10.59041/eyor.1780704

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