SynthesisHuman brain mapping2017
Meta-analysis of psychophysiological interactions: Revisiting cluster-level thresholding and sample sizes.
Synthesis in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Which software packages did researchers use to meta-analyze fMRI data? A literature survey from 2019 to 2024.Frontiers in human neuroscience · 2025Pooled it
- Functional parcellation of the default mode network: a large-scale meta-analysis.Scientific reports · 2020Pooled it
- Meta-analysis and review of functional neuroimaging differences underlying adolescent vulnerability to substance use.NeuroImage · 2020Pooled it
- Obesity is associated with reduced orbitofrontal cortex volume: A coordinate-based meta-analysis.NeuroImage. Clinical · 2020Pooled it
- Trait reward sensitivity and behavioral motivation are associated with connectivity between the default mode network and the striatum during reward anticipation.Cognitive, affective & behavioral neuroscience · 2026Article
- α -tACS Modulates Reward-Dependent Pupil Responses and Corticostriatal Connectivity.bioRxiv : the preprint server for biology · 2026Article
- Social closeness and reward sensitivity enhance corticostriatal function during experiences of shared rewards.Biological psychology · 2026Article
- Trait reward sensitivity and behavioral motivation are associated with connectivity between the default mode network and the striatum during reward anticipation.bioRxiv : the preprint server for biology · 2025Article
- Social Closeness and Reward Sensitivity Enhance Corticostriatal Function during Experiences of Shared Rewards.bioRxiv : the preprint server for biology · 2025Article
- Trait reward sensitivity modulates connectivity with the temporoparietal junction and Anterior Insula during strategic decision making.Biological psychology · 2024Article
- Article
- Trait Reward Sensitivity Modulates Connectivity with the Temporoparietal Junction and Anterior Insula during Strategic Decision Making.bioRxiv : the preprint server for biology · 2024Article
- Corticostriatal responses to social reward are linked to trait reward sensitivity and subclinical substance use in young adults.Social cognitive and affective neuroscience · 2024Article
- Corticostriatal Responses to Social Reward are Linked to Trait Reward Sensitivity and Subclinical Substance Use in Young Adults.bioRxiv : the preprint server for biology · 2024Article
- Age-related differences in ventral striatal and default mode network function during reciprocated trust.NeuroImage · 2022Article
- Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges.Wiley interdisciplinary reviews. Cognitive science · 2022Review
- The Role of Social Reward and Corticostriatal Connectivity in Substance Use.Journal of psychiatry and brain science · 2020Article
- Corrigendum: Brain networks of perceptual decision-making: an fMRI ALE meta-analysis.Frontiers in human neuroscience · 2017Article
- Reward Sensitivity Enhances Ventrolateral Prefrontal Cortex Activation during Free Choice.Frontiers in neuroscience · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Within the neuroimaging community, coordinate based meta-analyses (CBMAs) are essential for aggregating findings across studies and testing whether those studies report similar anatomical locations. This approach has been predominantly applied to studies that focus on whether activation of a brain region is associated with a given psychological process. In a recent paper, we used CBMA to examine a distinct set of studies-that is, those focusing on whether connectivity between brain regions is modulated by a given psychological process (Smith et al. [2016]: Hum Brain Mapp 37:2904-2917). Specifically, we reviewed 284 studies examining brain connectivity with psychophysiological interactions (PPI). Our meta-analytic results indicated that PPI yields connectivity patterns that are consistent across studies and that can be specific for a given psychological process and seed region. After publication of our findings, we learned that the analysis software we used to conduct our CBMAs (GingerALE v2.3.3) contained an implementation error that led to results that were more liberal than intended. Here, we comment on the impact of this implementation error on the results of our paper, new recommendations for sample sizes in CBMAs, and the importance of communication between software users and developers. We show that our key claims are supported in a reanalysis and that our results are robust to new guidelines on sample sizes. Hum Brain Mapp 38:588-591, 2017. © 2016 Wiley Periodicals, Inc.
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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.