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Andrea Caria

Researcher at University of Tübingen

Publications -  49
Citations -  5230

Andrea Caria is an academic researcher from University of Tübingen. The author has contributed to research in topics: Functional magnetic resonance imaging & Insula. The author has an hindex of 27, co-authored 46 publications receiving 4690 citations. Previous affiliations of Andrea Caria include University of Trento.

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Brain–machine interface in chronic stroke rehabilitation: A controlled study

TL;DR: Evaluated efficacy of daily brain–machine interface (BMI) training to increase the hypothesized beneficial effects of physiotherapy alone in patients with severe paresis in a double‐blind sham‐controlled design proof of concept study.
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Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic Stroke

TL;DR: These results suggest that volitional control of neuromagnetic activity features recorded over central scalp regions can be achieved with BCI training after stroke, and used to control grasping actions through a mechanical hand orthosis.
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Rehabilitation of gait after stroke: a review towards a top-down approach.

TL;DR: This document provides a review of the techniques and therapies used in gait rehabilitation after stroke and examines the possible benefits of including assistive robotic devices and brain-computer interfaces in this field, according to a top-down approach, in which rehabilitation is driven by neural plasticity.
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Regulation of anterior insular cortex activity using real-time fMRI

TL;DR: This is the first group study investigating the volitional control of emotionally relevant brain region by using rtfMRI training and confirms that self-regulation of local brain activity with rTFMRI is possible.
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Acquired self-control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia.

TL;DR: It is shown for the first time that patients with schizophrenia can learn volitional brain regulation by rtfMRI feedback training leading to changes in the perception of emotions and modulations of the brain network connectivity.