Neuroscience, moral reasoning, and the law.

Behav Sci Law

Department of Graduate Psychology, Azusa Pacific University, PO Box 7000, Azusa, CA 91702, USA.

Published: July 2009

Modern advancements in functional magnetic resonance imaging (fMRI) technology have given neuroscientists the opportunity to more fully appreciate the brain's contribution to human behavior and decision making. Morality and moral reasoning are relative newcomers to the growing literature on decision neuroscience. With recent attention given to the salience of moral factors (e.g. moral emotions, moral reasoning) in the process of decision making, neuroscientists have begun to offer helpful frameworks for understanding the interplay between the brain, morality, and human decision making. These frameworks are relatively unfamiliar to the community of forensic psychologists, despite the fact that they offer an improved understanding of judicial decision making from a biological perspective. This article presents a framework reviewing how event-feature-emotion complexes (EFEC) are relevant to jurors and understanding complex criminal behavior. Future directions regarding converging fields of neuroscience and legal decision making are considered.

Download full-text PDF

Source
http://dx.doi.org/10.1002/bsl.854DOI Listing

Publication Analysis

Top Keywords

decision making
20
moral reasoning
12
decision
6
making
5
neuroscience moral
4
reasoning law
4
law modern
4
modern advancements
4
advancements functional
4
functional magnetic
4

Similar Publications

Objective: To provide an updated evaluation of clinical effectiveness and sequelae of maxillomandibular advancement surgery in obstructive sleep apnea.

Data Sources: PubMed, Scopus, CINAHL.

Review Methods: Included studies described patients with obstructive sleep apnea that completed maxillomandibular advancement with any reported sequelae.

View Article and Find Full Text PDF

Background: Dural arteriovenous fistulas (DAVFs) pose a significant health threat owing to their high misdiagnosis rate. Case reports suggest that DAVFs or related acute events may follow medication use; however, drug-related risk factors remain unclear. In clinical practice, the concomitant use of multiple drugs for therapy is known as "polypharmacy situations," further increasing the risk of drug-induced DAVF.

View Article and Find Full Text PDF

Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?

Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.

What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!