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Activation likelihood estimation meta-analysis revisited.

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TLDR
The previous permutation algorithm is replaced with a faster and more rigorous analytical solution for the null-distribution and comprehensively address the issue of multiple-comparison corrections.
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This article is published in NeuroImage.The article was published on 2012-02-01 and is currently open access. It has received 1140 citations till now. The article focuses on the topics: Inference.

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The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value.

TL;DR: A quantitative, coordinate-based meta-analysis of 206 published fMRI studies investigating neural correlates of SV identifies two general patterns of SV-correlated brain responses, which appear to constitute a "valuation system," carrying a domain-general SV signal and potentially contributing to value-based decision making.
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Modelling neural correlates of working memory: a coordinate-based meta-analysis.

TL;DR: Meta-analyses are a powerful tool to integrate the data of functional imaging studies on a (broader) psychological construct, probing the consistency across various paradigms as well as the differential effects of different experimental implementations.
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Brain correlates of music-evoked emotions

TL;DR: Functional neuroimaging studies on music and emotion show that music can modulate activity in brain structures that are known to be crucially involved in emotion, such as the amygdala, nucleus accumbens, hypothalamus, hippocampus, insula, cingulate cortex and orbitofrontal cortex.
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Neural network of cognitive emotion regulation--an ALE meta-analysis and MACM analysis.

TL;DR: A model for the core brain network involved in emotion regulation of emotional reactivity is developed and a cluster in the anterior middle cingulate cortex is identified as a region, which is anatomically and functionally in an ideal position to influence behavior and subcortical structures related to affect generation.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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Voxel-Based Morphometry—The Methods

TL;DR: In this paper, the authors describe the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with non-uniformity artifact and provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data.
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Thresholding of statistical maps in functional neuroimaging using the false discovery rate.

TL;DR: This paper introduces to the neuroscience literature statistical procedures for controlling the false discovery rate (FDR) and demonstrates this approach using both simulations and functional magnetic resonance imaging data from two simple experiments.
Book

Handbook of Emotions

TL;DR: In this paper, the authors discuss the role of emotion in the development of the human brain and its role in human emotion processing, and propose a framework to understand the relationship between human emotion and the brain.
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A unified statistical approach for determining significant signals in images of cerebral activation.

TL;DR: A unified statistical theory for assessing the significance of apparent signal observed in noisy difference images is presented and an estimate of the P‐value for local maxima of Gaussian, t, χ2 and F fields over search regions of any shape or size in any number of dimensions is estimated.
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