MRI meets economics: Balancing sample size and scan duration

Motivation: Resting-state functional connectivity (RSFC) is widely used to predict behavioral traits in individuals. Goal(s): A pervasive dilemma when collecting functional MRI data is whether to prioritize sample size or scan duration given fixed resources. Approach: We systematically investigate the trade-off between sample size and scan time in the context of prediction accuracy and reliability of brain-behavior relationships using RSFC. Results: Increasing sample size (with fixed scan time) or scan time (with fixed sample size) leads to similar accuracy. Reliability of brain-behavior association can only be improved with bigger sample sizes but not scan time. Impact: Our findings establish an empirically informed reference for calibrating scan times and sample sizes to maximize prediction of behavioral performance and reliability of brain-behavior associations when using resting-state functional connectivity.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0317
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

MRI meets economics: Balancing sample size and scan duration

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Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

MRI meets economics: Balancing sample size and scan duration

Simon Bodo Eickhoff, B.T. Thomas Yeo, Nico U.F. Dosenbach, Shaoshi Zhang, Trevor Wei Kiat Tan, Csaba Orbán, Juan Helen Zhou, Leon Qi Rong Ooi, Scott Marek, Danilo Bzdok, Evan M. Gordon, Thomas E. Nichols, Ru Kong, Timothy O. Laumann, Avram J. Holmes
article en

Abstract

Motivation: Resting-state functional connectivity (RSFC) is widely used to predict behavioral traits in individuals. Goal(s): A pervasive dilemma when collecting functional MRI data is whether to prioritize sample size or scan duration given fixed resources. Approach: We systematically investigate the trade-off between sample size and scan time in the context of prediction accuracy and reliability of brain-behavior relationships using RSFC. Results: Increasing sample size (with fixed scan time) or scan time (with fixed sample size) leads to similar accuracy. Reliability of brain-behavior association can only be improved with bigger sample sizes but not scan time. Impact: Our findings establish an empirically informed reference for calibrating scan times and sample sizes to maximize prediction of behavioral performance and reliability of brain-behavior associations when using resting-state functional connectivity.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Advanced MRI Techniques and Applications
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