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Rebecca Dautoff

Researcher at Harvard University

Publications -  5
Citations -  972

Rebecca Dautoff is an academic researcher from Harvard University. The author has contributed to research in topics: Similarity (psychology) & Novelty. The author has an hindex of 5, co-authored 5 publications receiving 817 citations.

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Amygdala volume and social network size in humans.

TL;DR: It is found that amygdala volume correlates with the size and complexity of social networks in adult humans, and associations between social network variables and cortical thickness in three cortical areas are associated with amygdala connectivity.
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Amygdala atrophy is prominent in early Alzheimer's disease and relates to symptom severity

TL;DR: The results suggest that the magnitude of amygdala atrophy is comparable to that of the hippocampus in the earliest clinical stages of AD, and is related to global illness severity.
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States of mind: emotions, body feelings, and thoughts share distributed neural networks

TL;DR: A novel study testing a constructionist model of the mind in which participants generated three kinds of mental states while they measured activity within large-scale distributed brain networks using fMRI, and examined the similarity and differences in the pattern of network activity across these three classes ofmental states.
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Differential hemodynamic response in affective circuitry with aging: An fmri study of novelty, valence, and arousal

TL;DR: Although there were no age-related differences in the peak response of the amygdala to novelty, older individuals showed a narrower, sharper (i.e., “peakier”) hemodynamic time course in response to novel stimuli, as well as decreased connectivity between the left amygdala and the affective areas including orbito-frontal regions.
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Corrigendum: Amygdala volume and social network size in humans

TL;DR: The gender of participants was reversed and the gender of one participant was mislabeled, and the correct demographics are 37 female and 21 male participants, with concomitant changes to the values in Table 1.