NeuroSynth: a new platform for large-scale automated synthesis of human functional neuroimaging data

By Wager Tor D.. 2011

1,338 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/059e2f18d333b464493314ec518abea04c49bc89

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In Cognitive Neuroscience

In Experimental and Cognitive Psychology

Citations in the corpus

Situating the default-mode network along a principal gradient of macroscale cortical organization (2016, positive): “We conducted a metaanalysis using the NeuroSynth database (47) [Figs.”
Toward open sharing of task-based fMRI data: the OpenfMRI project (2013, positive): “These include Brainmap (http://www . brainmap . org) (Laird et al., 2005), SumsDB (http://sumsdb . wustl . edu/sums/), and Neurosynth (http://www . neurosynth . org) (Yarkoni et al., 2011), each of which provides tools to perform coordinate-based meta-analyses.”
The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value (2013, positive): “( Related points have been noted previously; Yarkoni et al., 2011).”
Precision functional mapping of individual human brains (2017, positive): “As a result, we were able to identify group-average networks corresponding to a) early visual cortex, b) somatomotor cortex associated with the foot, and c) to a strip along postcentral gyrus corresponding closely to “premotor” activation in the Neurosynth platform (Yarkoni et al., 2011).”
NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain (2014, methodology): “Such an effect would not be picked up by existing meta analysis methods (Laird et al., 2005; Yarkoni et al., 2011) because it would never be reported in the tables of peak coordinates.”
The relation between statistical power and inference in fMRI (2017, methodology): “These maps converge reasonably well with manually produced meta-analyses [93,94] and this meta-analytic data has been incorporated to the analyses of single studies (e.”
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI (2018, methodology): “By decoding the neurological functions of the important ROIs with Neurosynth [11], we found”
Contributions of episodic retrieval and mentalizing to autobiographical thought: evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses (2014, methodology): “…these empirical findings extend to a variety of additional task paradigms used across the wider literature, we next used the Neurosynth framework (Yarkoni et al., 2011) to conduct a quantitative, automated text-based meta-analysis of episodic retrieval and mentalizing across the largest database…”
neuromaps: structural and functional interpretation of brain maps (2022, background): “Collectively, these maps represent more than a decade of human brain mapping research and encompass phenotypes including: the first principal component of gene expression [33], 36 neurotransmitter receptor PET tracer images [32], glucose and oxygen metabolism [72], cerebral blood flow and volume [72”
Multi‐echo fMRI: A review of applications in fMRI denoising and analysis of BOLD signals (2017, background): “Changes in T2* and S0 affect fMRI signals approximately independently (Zhao et al., 2006).”
The science of mind wandering: empirically navigating the stream of consciousness. (2015, methodology): “Meta-analyses using Neurosynth have shown that the core of this system tends to be engaged in self-referential processes, the medial temporal subsystem is engaged by episodic processes, and the dorsal medial subsystem is engaged by social processes.”
The default mode network in cognition: a topographical perspective (2021, positive): “1 shows the results of a meta-analysis of the functional profile of each region within the DMN, based on data available in the Neurosynth database 63 (https://neurosynth.org/) (see also Supplementary Methods).”
Ten simple rules for neuroimaging meta-analysis (2017, methodology): “org/) (Yarkoni et al., 2011) that synthesize neuroimaging literature can be used to automatically extract meta-data.”
Data sharing in neuroimaging research (2012, methodology): “More recently, Yarkoni and colleagues (Yarkoni et al., 2011) combined a similar strategy with text mining to, among other applications, accurately “decode” many cognitive states from brain activity stored in the Neurosynth database.”