FMRI ÇALIŞMALARINDA GEREKLİ ÖRNEK BÜYÜKLÜĞÜNÜN PRATİK BİR TAHMİNİ

Year 2023, Volume: 9 Issue: 2, 56 - 63, 31.12.2023

Cemre Candemir

https://doi.org/10.22531/muglajsci.1282492

Abstract

Fonksiyonel Manyetik Rezonans Görüntüleme (fMRI) çalışmalarında, fMRI verilerindeki değişkenlik, analizin karmaşıklığı ve çoklu karşılaştırmalar için düzeltme ihtiyacı, uygun örneklem büyüklüğünü belirlemeyi zorlaştırır. Bu nedenle, güç analizi, güvenilir ve istatistiksel olarak anlamlı sonuçlar elde etmek için gereken uygun örneklem büyüklüğünü belirlemek için kullanılan önemli bir araç haline gelir. Bu bağlamda, bu çalışma, bir fMRI çalışması için güç analizi yapma ve örneklem büyüklüğünü tahmin etme sürecini temsil etmeyi amaçlamaktadır. Bunu yapmak için, farklı deneysel görev tasarımlarına sahip işlevsel, duyuşsal, davranışsal ve bilişsel üç veri seti kullanılır. Bu çalışma, güç analizinin nasıl yürütüleceğine ve çeşitli fMRI çalışmaları için örneklem boyutunun nasıl tahmin edileceğine ilişkin adım adım bir kılavuz sağlar.

Keywords

Deneysel ödev tasarımı, fMRI, katılımcı sayısı, güç analizi, örneklem büyüklüğü, istatistiksel anlamlılık

A PRACTICAL ESTIMATION OF THE REQUIRED SAMPLE SIZE IN FMRI STUDIES

Abstract

In functional Magnetic Resonance Imaging (fMRI) studies, the variability in fMRI data, the complexity of the analysis, and the need to correct for multiple comparisons make determining the appropriate sample size challenging. Hence, power analysis becomes an important tool to use for determining the appropriate sample size needed to achieve reliable and statistically significant results. In this context, this study aims to represent the process of conducting a power analysis and estimating the sample size for an fMRI study. To do this, three functional, affective, behavioral, and cognitive, data sets having different experimental task designs are used. This study provides a step-by-step guide on how to conduct a power analysis and estimate the sample size for various fMRI studies.

Keywords

Experimental task design, fMRI, number of participants, power analysis, sample size, statistical significance

Thanks

The author thanks all Socat neuroscience team and Prof. Dr. Ali Saffet Gönül for his encouragement and supervision.

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