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Katiuscia Sacco

Researcher at University of Turin

Publications -  88
Citations -  4057

Katiuscia Sacco is an academic researcher from University of Turin. The author has contributed to research in topics: Cognition & Resting state fMRI. The author has an hindex of 32, co-authored 82 publications receiving 3505 citations.

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Functional connectivity of the insula in the resting brain

TL;DR: The authors' findings document two major complementary networks involving the ventral-anterior and dorsal-posterior insula: one network links the anterior insula to the middle and inferior temporal cortex and anterior cingulate cortex, and is primarily related to limbic regions which play a role in emotional aspects, and support the use of resting state functional analysis to investigate connectivity in the living human brain.
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Meta-analytic clustering of the insular cortex. Characterizing the meta-analytic connectivity of the insula when involved in active tasks

TL;DR: This work indicates, for the first time, that some blocks of the anterior insula play the role of hubs between the anterior and the posterior insulae, as confirmed by their activation in several different paradigms, and supports the view that the network to which the anteriorinsula belongs is related to saliency detection.
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Altered resting state in diabetic neuropathic pain.

TL;DR: A functional network of brain areas that mark the spontaneous component of NP is characterized for the first time, indicating that pain is the result of aberrant default mode functional connectivity.
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Functional connectivity and coactivation of the nucleus accumbens: A combined functional connectivity and structure-based meta-analysis

TL;DR: The combined rsFC and MACM analyses show that spontaneous activity in NAcc predicts activity in regions implicated in reward circuitries, including orbitomedial prefrontal cortex, globus pallidus, thalamus, midbrain, amygdala, and insula, confirming the key role of NAcc in the mesocorticolimbic system.
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Grey matter abnormality in autism spectrum disorder: an activation likelihood estimation meta-analysis study

TL;DR: A quantitative meta-analysis of the current VBM findings aimed at delineating the cortical regions with consistently increased or reduced GM concentrations in ASD patients used to estimate consistent activations across different imaging studies.