Literature DB >> 28937337

Ethical and Legal Implications of the Methodological Crisis in Neuroimaging.

Philipp Kellmeyer.   

Abstract

Currently, many scientific fields such as psychology or biomedicine face a methodological crisis concerning the reproducibility, replicability, and validity of their research. In neuroimaging, similar methodological concerns have taken hold of the field, and researchers are working frantically toward finding solutions for the methodological problems specific to neuroimaging. This article examines some ethical and legal implications of this methodological crisis in neuroimaging. With respect to ethical challenges, the article discusses the impact of flawed methods in neuroimaging research in cognitive and clinical neuroscience, particularly with respect to faulty brain-based models of human cognition, behavior, and personality. Specifically examined is whether such faulty models, when they are applied to neurological or psychiatric diseases, could put patients at risk, and whether this places special obligations on researchers using neuroimaging. In the legal domain, the actual use of neuroimaging as evidence in United States courtrooms is surveyed, followed by an examination of ways that the methodological problems may create challenges for the criminal justice system. Finally, the article reviews and promotes some promising ideas and initiatives from within the neuroimaging community for addressing the methodological problems.

Entities:  

Keywords:  neuroethics; neuroimaging; neurolaw; replication; reproducibility

Mesh:

Year:  2017        PMID: 28937337     DOI: 10.1017/S096318011700007X

Source DB:  PubMed          Journal:  Camb Q Healthc Ethics        ISSN: 0963-1801            Impact factor:   1.284


  3 in total

1.  Age of acquisition impacts the brain differently depending on neuroanatomical metric.

Authors:  Hannah Claussenius-Kalman; Kelly A Vaughn; Pilar Archila-Suerte; Arturo E Hernandez
Journal:  Hum Brain Mapp       Date:  2019-10-10       Impact factor: 5.038

Review 2.  Machine learning for medical imaging: methodological failures and recommendations for the future.

Authors:  Gaël Varoquaux; Veronika Cheplygina
Journal:  NPJ Digit Med       Date:  2022-04-12

3.  Narrative Devices: Neurotechnologies, Information, and Self-Constitution.

Authors:  Emily Postan
Journal:  Neuroethics       Date:  2020-09-28       Impact factor: 1.480

  3 in total

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