Larger sample sizes needed to increase reproducibility in neuroscience studies


Small sample sizes in studies using functional MRI to investigate brain connectivity and function are common in neuroscience, despite years of warnings that such studies likely lack sufficient statistical power. A new analysis reveals that task-based fMRI experiments involving typical sample sizes of about 30 participants are only modestly replicable. This means that independent efforts to repeat the experiments are as likely to challenge as to confirm the original results.

The study, reported in the journal Nature Communications Biology, also finds that task-based fMRI studies with sample sizes of up to 100 also fall short of being perfectly replicable.

Task-based fMRI studies track changes in blood oxygen levels in the brain while study subjects are engaged in cognitive tasks. The technique allows researchers to see which brain regions are recruited to perform specific tasks.

But those in the field of cognitive neuroscience have not agreed on specific standards for the design of task-based fMRI studies -- in particular, how many study subjects are needed to ensure reliable findings. The new research aims to address this shortfall, researchers said.

"This study is the largest investigation of the role of sample size in the reproducibility of task-based fMRI methods," said University of Illinois psychology professor Aron Barbey, who conducted the research with Erick Paul, a former postdoctoral fellow at the U. of I.; Benjamin Turner, of Nanyang Technological University in Singapore; and Michael Miller, of the University of California, Santa Barbara.

News Date: 

Thursday, June 7, 2018