The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Innocence Mortality Tax: The Impact of Wrongful Conviction on Lifespan

The wrongful conviction of innocent individuals is a growing problem for those unjustly convicted and the integrity of our legal system, with exonerees often struggling post-exoneration. Yet, too little is known about the long-term impact of wrongful convictions on those unjustly convicted. Thus, we investigated the effect of wrongful conviction on mortality and lifespan—that is, we tested for the possibility of an “innocence mortality tax.” We found that more exonerees have passed than expected when compared to U.S. death rates, and that exonerees died 13.24 years earlier than expected, given their age, gender, race/ethnicity, and incarceration length. Finally, those exonerees whose cases involved a false confession or mistaken eyewitness identification died significantly sooner than their counterparts. Our results highlight the need for researchers, practitioners, and policymakers to continue to find ways to mitigate the harm done to innocent individuals unjustly convicted

Two Models of Pre-Plea Discovery in Criminal Cases: An Empirical Comparison

Our criminal justice system resolves most of its cases through plea bargains. Yet the U.S. Supreme Court has not required that any evidence, even exculpatory or impeachment evidence, be provided to the defense before a guilty plea. As a result, state rules on pre-plea discovery differ widely. While some jurisdictions follow an “open-file” model, imposing relatively broad discovery obligations on prosecutors early in the criminal process, others follow a more restrictive, “closed-file” model and allow the prosecution to avoid production of critical evidence either entirely or until very near the time of trial. Though the advantages and disadvantages of both models are debated, surprisingly little is known about the models’ real-world operation. In this Article, we report the results of an original empirical study in which we surveyed practicing prosecutors and criminal defense attorneys about their pre-plea discovery practices. We surveyed attorneys from Virginia and North Carolina, two adjacent states, which are demographically and geographically similar, but have notably different discovery rules. North Carolina mandates open-file discovery early in the criminal process. By contrast, Virginia protects certain critical documents, such as witness statements and police reports, from discovery. Our findings indicate that, as expected, open-file discovery can promote more informed guilty pleas. It leads to improved pre-plea disclosure of most categories of evidence. The practice is also viewed as more efficient in that it reduces discovery disputes and speeds up case dispositions. We also found little evidence that open-file discovery endangers the safety of witnesses, a common argument against the practice. Open-file discovery does not, however, appear to enhance the disclosure of certain impeachment evidence, such as the prior convictions of prosecution witnesses. Further, practitioners reported that even when the entire case file is turned over to the defense pre-plea, the file is frequently missing some information relevant to the case. The Article interprets these findings and concludes with a general endorsement of the North Carolina open-file system over the Virginia closed-file system as a better guarantor of informed decisions and efficient process in criminal cases

Identifying Patterns Across the Six Canonical Factors Underlying Wrongful Convictions

Research has established six “canonical” factors underlying wrongful convictions including: mistaken witness identification (MWID), false confession (FC), perjury or false accusation (P/FA), false or misleading forensic evidence (F/MFE), official misconduct (OM), and inadequate legal defense (ILD). While we know these factors do not occur in isolation, researchers have yet to examine the patterns across these six factors. In the present article, we apply latent class analysis to explore how these six factors might co-occur across known exonerations. Using data from the National Registry of Exonerations, we identify four latent classes by which the incidence rates across these six factors can be categorized. Among our noteworthy findings: 1) P/FA and OM often co-occur, 2) when MWIDs are high, the incidence of other factors is relatively low, and 3) false guilty pleas had the highest prevalence in a class that was generally associated with Failures to Investigate. Further implications are discussed