When individuals set goals, they consider the subjective value (SV) of the anticipated reward and the required effort, a trade-off that is of great interest to psychological research. One approach to quantify the SVs of levels of difficulty of a cognitive task is the Cognitive Effort Discounting Paradigm by Westbrook and colleagues (2013). However, it fails to acknowledge the highly individual nature of effort, as it assumes a unidirectional, inverse relationship between task load and SVs. Therefore, it cannot map differences in effort perception that arise from traits like Need for Cognition, since individuals who enjoy effortful cognitive activities likely do not prefer the easiest level. We replicated the analysis of Westbrook and colleagues with an adapted version, the Cognitive and Affective Discounting (CAD) Paradigm. It quantifies SVs without assuming that the easiest level is preferred, thereby enabling the assessment of SVs for tasks without objective order of task load. Results show that many of the 116 participants preferred a more or the most difficult level. Variance in SVs was best explained by a declining logistic contrast of the [Formula: see text]-back levels and by the accuracy of responses, while reaction time as a predictor was highly volatile depending on the preprocessing pipeline. Participants with higher Need for Cognition scores perceived higher [Formula: see text]-back levels as less effortful and found them less aversive. Effects of Need for Cognition on SVs in lower levels did not reach significance, as group differences only emerged in higher levels. The CAD Paradigm appears to be well suited for assessing and analysing task preferences independent of the supposed objective task difficulty.Protocol registrationThe stage 1 protocol for this Registered Report was accepted in principle on August 19, 2022. The protocol, as accepted by the journal, can be found at: https://doi.org/10.17605/OSF.IO/CPXTH .
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http://dx.doi.org/10.1038/s41598-023-44349-3 | DOI Listing |
Alzheimers Dement
December 2024
University of Western Ontario, London, ON, Canada.
Background: Apolipoprotein E (ApoE) exhibits isoform-specific interactions with Alzheimer's disease (AD)-related pathology. In comparison with the more common ApoE3 isoform, ApoE4 promotes amyloid-β (Aβ) deposition, enhances tau-mediated neurodegeneration and inflammation. However, the lack of appropriate preclinical models has limited the ability to evaluate the potential synergistic effect of Aβ, tau and ApoE on cognition and disease progression.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Neuroscience Institute, NYU Langone Health, NYU Grossman School of Medicine, New York, NY, USA.
Background: The entorhinal cortex and hippocampus are loci of early vulnerability in AD. These areas are crucial for episodic memory processing for space and contexts. The majority of AD model mouse imaging and electrode studies utilize simple tasks such open field and linear track.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Background: Alzheimer's disease (AD) research has been historically dominated with studies in mouse models expressing familial AD mutations; however, the majority of AD patients have the sporadic, late-onset form of AD (LOAD). To address this gap, the IU/JAX/PITT MODEL-AD Consortium has focused on development of mouse models that recapitulate LOAD by combining genetic risk variants with environmental risk factors and aging to enable more precise models to evaluate potential therapeutics. The present studies were undertaken to characterize cognitive and neurophysiological phenotypes in LOAD mice.
View Article and Find Full Text PDFBackground: Type 2 diabetes (T2D) and older age are well-known risk factors for dementia. Indeed, there is evidence that older adults not diagnosed, but at-risk for T2D can show early signs of cognitive decline, further exacerbated by excessive body weight or high blood glucose levels. Such a finding would have implications for early treatment strategies; however, the evidence is still sparse.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Penn Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.
Background: Mobile, valid and engaging cognitive assessments are essential for detecting and tracking change in research participants and patients at risk for Alzheimer's Disease and Related Dementias (ADRDs). This pilot study aims to determine the feasibility and generalizability of an at-home, app-based cognitive assessment, the mobile cognitive app performance platform (mCAPP), to detect cognitive changes associated with aging and preclinical AD.
Method: mCAPP includes three gamified tasks (Figure 1): (1) a "concentration" memory task that includes learning and matching hidden card pairs with increasing memory load, pattern separation features (lure vs.
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