Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition 1

By E. Vul, Christine R. Harris, Piotr Winkielman, Harold Pashler. Perspectives on Psychological Science, 2009

1,492 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/b1c693783edf572c37ecbe3fc0508b44661a7b7e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Tal Yarkoni
2. Gaël Varoquaux
3. Russell A. Poldrack
4. Michael W. Cole
5. Olaf Sporns
6. Thomas E. Nichols
7. Michael P. Milham
8. Randy L. Buckner

In Experimental and Cognitive Psychology

1. Craig Hedge
2. Petroc Sumner
3. Georgina Powell
4. Gaël Varoquaux
5. Thomas E. Nichols
6. Tal Yarkoni
7. T. Noesselt
8. David A. Waldman

In Psychiatry and Mental health

1. Anders M. Fjell
2. Kristine B. Walhovd
3. Lars Tjelta Westlye
4. Robert A. I. Davies
5. Russell A. Poldrack
6. Randy L. Buckner
7. Matthew D. Lieberman
8. Lotte Meteyard

Citations in the corpus

• Circular analysis in systems neuroscience – the dangers of double dipping (2009, neutral): “Untangling how data and assumptions influence neuroscientific analyses sometimes reveals that assumptions predetermine results to some extent 1–5 .”
• Health, USA Reviewed by: (2010, neutral): “…other neuroimaging studies, it is important to specify in advance the protocols for construction of models, optimization, and inference, in order to reduce biases in inference and estimation of the presence or size of connectivity effects (Kraft, 2008; Kriegeskorte et al., 2009; Vul et al., 2009).”
• A Convergent Functional Architecture of the Insula Emerges Across Imaging Modalities (2012, neutral): “, 2011) the use of pre-defined ROIs allows researchers to test hypotheses concerning differential localization or timing of stimulus or task-evoked responses without “double-dipping” (Kriegeskorte et al., 2009; Vul et al., 2009).”
• Cross‐validation failure: Small sample sizes lead to large error bars (2017, background): “It also tends to inflate the reported effect size (Vul et al., 2009).”
• Mouth and Voice: A Relationship between Visual and Auditory Preference in the Human Superior Temporal Sulcus (2017, background): “A potential pitfall in fMRI analysis is the use of statistical criteria that are not independent (Baker et al., 2007; Simmons et al., 2007; Vul et al., 2009; Vul and Pashler, 2012).”
• Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography. (2014, methodology): “For example, permutation tests and bootstrapping methods have considerable and growing appeal (e.g., Maris, 2012; Wasserman & Bockenholt, 1989).”
• Best practice guidance for linear mixed-effects models in psychological science (2019, methodology): “Thus, this paper reports on the use of LMMs in the context of ongoing concerns regarding statistical best practices across the cognitive and neurosciences (e.g., Carp, 2012a, 2012b; Chabris et al., 2012; Cumming, 2013a, 2013b; Ioannidis, 2005; Kriegeskorte et al., 2009; Lieberman & Cunningham, 2009;”