A PRACTICAL ESTIMATION OF THE REQUIRED SAMPLE SIZE IN FMRI STUDIES
Öz
Anahtar Kelimeler
Teşekkür
Kaynakça
- H. Aerts et al., “Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling,” Sci. Data, vol. 9, no. 1, Art. no. 1, Nov. 2022, doi: 10.1038/s41597-022-01806-4.
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- R. T. Constable, “Challenges in fMRI and Its Limitations,” in Functional MRI: Basic Principles and Clinical Applications, S. H. Faro and F. B. Mohamed, Eds., New York, NY: Springer, 2006, pp. 75–98. doi: 10.1007/0-387-34665-1_4.
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- K. S. Button et al., “Power failure: why small sample size undermines the reliability of neuroscience,” Nat. Rev. Neurosci., vol. 14, no. 5, Art. no. 5, May 2013, doi: 10.1038/nrn3475.
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Cemre Candemir
*
0000-0001-9850-137X
Türkiye
Erken Görünüm Tarihi
21 Aralık 2023
Yayımlanma Tarihi
31 Aralık 2023
Gönderilme Tarihi
13 Nisan 2023
Kabul Tarihi
24 Ağustos 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 9 Sayı: 2
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