> The rapid growth of functional magnetic resonance imaging (fMRI) research has led to new insights on neuroanatomical structure and function, which has led to a greater understanding of human behavior and cognition. As a response, there has been an emergence of questions regarding how these findings can be applied to criminology and legal processes.
I hope they have a more solid foundation of evidence than fMRI.
> The researchers reexamined 56 peer-reviewed, published papers that conducted 90 fMRI experiments, some by leaders in the field, and also looked at the results of so-called “test/retest” fMRIs, where 65 subjects were asked to do the same tasks months apart. They found that of seven measures of brain function, none had consistent readings.
> Functional MRI (fMRI) is 25 years old, yet surprisingly its most common statistical methods have not been validated using real data. Here, we used resting-state fMRI data from 499 healthy controls to conduct 3 million task group analyses. Using this null data with different experimental designs, we estimate the incidence of significant results. In theory, we should find 5% false positives (for a significance threshold of 5%), but instead we found that the most common software packages for fMRI analysis (SPM, FSL, AFNI) can result in false-positive rates of up to 70%. These results question the validity of a number of fMRI studies and may have a large impact on the interpretation of weakly significant neuroimaging results.
> The rapid growth of functional magnetic resonance imaging (fMRI) research has led to new insights on neuroanatomical structure and function, which has led to a greater understanding of human behavior and cognition. As a response, there has been an emergence of questions regarding how these findings can be applied to criminology and legal processes.
I hope they have a more solid foundation of evidence than fMRI.
Eg from https://www.fastcompany.com/90520750/duke-university-researc... :
> The researchers reexamined 56 peer-reviewed, published papers that conducted 90 fMRI experiments, some by leaders in the field, and also looked at the results of so-called “test/retest” fMRIs, where 65 subjects were asked to do the same tasks months apart. They found that of seven measures of brain function, none had consistent readings.
Also https://www.pnas.org/content/113/28/7900 :
> Functional MRI (fMRI) is 25 years old, yet surprisingly its most common statistical methods have not been validated using real data. Here, we used resting-state fMRI data from 499 healthy controls to conduct 3 million task group analyses. Using this null data with different experimental designs, we estimate the incidence of significant results. In theory, we should find 5% false positives (for a significance threshold of 5%), but instead we found that the most common software packages for fMRI analysis (SPM, FSL, AFNI) can result in false-positive rates of up to 70%. These results question the validity of a number of fMRI studies and may have a large impact on the interpretation of weakly significant neuroimaging results.