Neuroscientists are amassing the large-scale datasets needed to study individual differences and identify biomarkers. However, measurement reliability within individual samples is often suboptimal, thereby requiring unnecessarily large samples. We focus our comment on reliability in neuroimaging and provide examples of how the reliability can be increased.</p
Evaluation of neurodegenerative disease progression may be assisted by quantification of the volume ...
Multisite longitudinal neuroimaging designs are used to identify differential brain structural chang...
Big data is revolutionizing our ability to measure and study the human brain. New technology increas...
A study with low statistical power has a reduced chance of detecting a true effect, but it is less w...
A study with low statistical power has a reduced chance of detecting a true effect, but it is less w...
Neuroscience has been diagnosed with a pervasive lack of statistical power and, in turn, reliability...
The last decade has seen increasing attention to the problem of scientific reproducibility, across a...
Neuroscience has been diagnosed with a pervasive lack of statistical power and, in turn, reliability...
Neuroscience has been diagnosed with a pervasive lack of statistical power and, in turn, reliability...
Neuroimaging, in addition to many other fields of clinical research, is both time-consuming and expe...
Human brain mapping (HBM) is increasingly becoming a multi-disciplinary field where some scientific ...
"Advancements in data collection in neuroimaging have ushered in an “Age of Big Data” in neuroscienc...
Smith and Nichols discuss "big data" human neuroimaging studies, with very large subject numbers and...
At present, functional magnetic resonance imaging (fMRI) is one of the most useful methods of studyi...
Neuroscience is undergoing faster changes than ever before. Over 100 years our field qualitatively d...
Evaluation of neurodegenerative disease progression may be assisted by quantification of the volume ...
Multisite longitudinal neuroimaging designs are used to identify differential brain structural chang...
Big data is revolutionizing our ability to measure and study the human brain. New technology increas...
A study with low statistical power has a reduced chance of detecting a true effect, but it is less w...
A study with low statistical power has a reduced chance of detecting a true effect, but it is less w...
Neuroscience has been diagnosed with a pervasive lack of statistical power and, in turn, reliability...
The last decade has seen increasing attention to the problem of scientific reproducibility, across a...
Neuroscience has been diagnosed with a pervasive lack of statistical power and, in turn, reliability...
Neuroscience has been diagnosed with a pervasive lack of statistical power and, in turn, reliability...
Neuroimaging, in addition to many other fields of clinical research, is both time-consuming and expe...
Human brain mapping (HBM) is increasingly becoming a multi-disciplinary field where some scientific ...
"Advancements in data collection in neuroimaging have ushered in an “Age of Big Data” in neuroscienc...
Smith and Nichols discuss "big data" human neuroimaging studies, with very large subject numbers and...
At present, functional magnetic resonance imaging (fMRI) is one of the most useful methods of studyi...
Neuroscience is undergoing faster changes than ever before. Over 100 years our field qualitatively d...
Evaluation of neurodegenerative disease progression may be assisted by quantification of the volume ...
Multisite longitudinal neuroimaging designs are used to identify differential brain structural chang...
Big data is revolutionizing our ability to measure and study the human brain. New technology increas...
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