Many different situations related to self control involve competition between two routes to decisions: default and frugal versus more resource-intensive. Examples include habits versus deliberative decisions, fatigue versus cognitive effort, and Pavlovian versus instrumental decision making. We propose that these situations are linked by a strikingly similar core dilemma, pitting the opportunity costs of monopolizing shared resources such as executive functions for some time, against the possibility of obtaining a better outcome. We offer a unifying normative perspective on this underlying rational meta-optimization, review how this may tie together recent advances in many separate areas, and connect several independent models. Finally, we suggest that the crucial mechanisms and meta-decision variables may be shared across domains.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.tics.2015.08.013 | DOI Listing |
Horm Mol Biol Clin Investig
January 2025
Department of Biochemistry, Faculty of Medicine, 37555 Urmia University of Medical Sciences, Urmia, Iran.
Autism spectrum disorder (ASD) is a pervasive neurobehavioral condition characterized by disruption of behavioral and emotional patterns in individuals with this condition. Given that various environmental and genetic factors play a fundamental role in the pathophysiology of ASD, it can be said that ASD is a multifaceted disease. This study used scientific databases including Google Scholar, PubMed, Scopus, and Semantic Scholar.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Importance: People with kidney failure have a high risk of death and poor quality of life. Mortality risk prediction models may help them decide which form of treatment they prefer.
Objective: To systematically review the quality of existing mortality prediction models for people with kidney failure and assess whether they can be applied in clinical practice.
Alzheimers Dement
December 2024
Washington University School of Medicine, Saint Louis, MO, USA.
Background: The recent European-ancestry based genome-wide association study (GWAS) of Alzheimer disease (AD) by Bellenguez2022 has identified 75 significant genetic loci, but only a few have been functionally mapped to effector gene level. Besides the large-scale RNA expression, protein and metabolite levels are key molecular traits bridging the genetic variants to AD risk, and thus we decided to integrate them into the genetic analysis to pinpoint key proteins and metabolites underlying AD etiology. Few studies have generated more than one layer of post-transcriptional phenotypes, limiting the scale of biological translation of disease modifying treatments.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neurology, Harvard Medical School, Boston, MA, USA.
Background: Cognitive tests of naming ability have been shown to have diagnostic and prognostic utility in both mild cognitive impairment (MCI) and Alzheimer's disease (AD; Taler & Phillips, 2008). The Boston Naming Test (BNT) is the most common naming test, which consists of 60 black-and-white drawings and takes 20-30 minutes to administer. Retrospective analysis has shown that administering the BNT in an adaptive fashion could result in a comparable measure of the patient's naming ability in only 8 items instead of 60.
View Article and Find Full Text PDFInt J Oncol
February 2025
Department of Experimental Medicine, Laboratory of Radiobiology, University of L'Aquila, I-67100 L'Aquila, Italy.
Following the publication of the above article, a concerned reader drew to the Editor's attention that certain of the western blot assay data shown in Fig. 4G on p. 717 were strikingly similar to data that had appeared in a paper published previously in the journal , which had been written by different authors at different research institutes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!