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Open AccessJournal ArticleDOI

The effects of interaction quality on neural synchrony during mother-child problem solving.

TLDR
The results emphasize neural synchrony as a biomarker for mother-child interaction quality as well as the role of state-like factors in interpersonal synchronization processes linked to successful coordination with others and in the long-term might improve the understanding of others.
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This article is published in Cortex.The article was published on 2020-03-01 and is currently open access. It has received 94 citations till now. The article focuses on the topics: Mother child interaction.

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Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction.

TL;DR: A comprehensively present methods, analyses, and results from the last 20 years of hyperscanning research on the basis of different cognitive functions and their relations to social interactions.
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Compassion: From Its Evolution to a Psychotherapy.

TL;DR: This paper outlines an evolution informed biopsychosocial, multicomponent model to caring behavior and its derivative “compassion” that underpins newer approaches to psychotherapy and suggests that it is the way recent human cognitive competencies give rise to different types of “mind awareness” and “knowing intentionality’ that transform basic caring motives into potentials for compassion.
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Interactional synchrony: signals, mechanisms and benefits.

TL;DR: Results revealed that traditional perspectives emphasizing beat-based representations of others’ signals conflict with more recent work investigating the perception of temporal regularity, and stimulus modality and complexity are important.
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Interpersonal Neural Entrainment during Early Social Interaction

TL;DR: Research that examines how social behaviors affect not one, but both partners in a dyad is considered, considering whether it is merely an epiphenomenon, or whether it plays an independent, mechanistic role in early attention and learning.
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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Fitting Linear Mixed-Effects Models Using lme4

TL;DR: In this article, a model is described in an lmer call by a formula, in this case including both fixed-and random-effects terms, and the formula and data together determine a numerical representation of the model from which the profiled deviance or the profeatured REML criterion can be evaluated as a function of some of model parameters.
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Application of the cross wavelet transform and wavelet coherence to geophysical time series

TL;DR: It is demonstrated how phase angle statistics can be used to gain confidence in causal relation- ships and test mechanistic models of physical relationships between the time series and Monte Carlo methods are used to assess the statistical significance against red noise backgrounds.
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The concept of allostasis in biology and biomedicine.

TL;DR: The concept of allostasis is discussed, maintaining stability through change, as a fundamental process through which organisms actively adjust to both predictable and unpredictable events, using the balance between energy input and expenditure as the basis for applying the concept.
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