ArticleCognitive, affective & behavioral neuroscience2013
How to produce personality neuroscience research with high statistical power and low additional cost.
Article in Cognitive, affective & behavioral neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- No trait anxiety influences on early and late differential neuronal responses to aversively conditioned faces across three different tasks.Cognitive, affective & behavioral neuroscience · 2022Article
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- Troubled past: A critical psychometric assessment of the self-report Survey of Autobiographical Memory (SAM).Behavior research methods · 2022Article
- Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.Neuroinformatics · 2022Article
- Personality Neuroscience: An Emerging Field with Bright Prospects.Personality science · 2022Article
- Emotional intelligence mediates the association between middle temporal gyrus gray matter volume and social anxiety in late adolescence.European child & adolescent psychiatry · 2021Article
- Sex-linked neurofunctional basis of psychological resilience in late adolescence: a resting-state functional magnetic resonance imaging study.European child & adolescent psychiatry · 2020Article
- Neurostructural correlates of hope: dispositional hope mediates the impact of the SMA gray matter volume on subjective well-being in late adolescence.Social cognitive and affective neuroscience · 2020Article
- Neurostructural correlates of optimism: Gray matter density in the putamen predicts dispositional optimism in late adolescence.Human brain mapping · 2020Article
- Amygdala volume and social anxiety symptom severity: Does segmentation technique matter?Psychiatry research. Neuroimaging · 2020Article
- Victim Sensitivity and Its Neural Correlates Among Patients With Major Depressive Disorder.Frontiers in psychiatry · 2020Article
- Stress and the brain: Perceived stress mediates the impact of the superior frontal gyrus spontaneous activity on depressive symptoms in late adolescence.Human brain mapping · 2019Review
- Brain structure links trait conscientiousness to academic performance.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personality neuroscience involves examining relations between cognitive or behavioral variability and neural variables like brain structure and function. Such studies have uncovered a number of fascinating associations but require large samples, which are expensive to collect. Here, we propose a system that capitalizes on neuroimaging data commonly collected for separate purposes and combines it with new behavioral data to test novel hypotheses. Specifically, we suggest that groups of researchers compile a database of structural (i.e., anatomical) and resting-state functional scans produced for other task-based investigations and pair these data with contact information for the participants who contributed the data. This contact information can then be used to collect additional cognitive, behavioral, or individual-difference data that are then reassociated with the neuroimaging data for analysis. This would allow for novel hypotheses regarding brain-behavior relations to be tested on the basis of large sample sizes (with adequate statistical power) for low additional cost. This idea can be implemented at small scales at single institutions, among a group of collaborating researchers, or perhaps even within a single lab. It can also be implemented at a large scale across institutions, although doing so would entail a number of additional complications.
Indexed as
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23982973What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.