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The effect of visual experience on the development of functional architecture in hMT+.
TLDR
Results demonstrate that activation of h MT+ and surrounding cortex by tactile flow is not mediated by visual mental imagery and that the functional organization of hMT+ can develop to subserve tactile flow perception in the absence of any visual experience.
Effects of Visual Experience on the Human MT+ Functional Connectivity Networks: An fMRI Study of Motion Perception in Sighted and Congenitally Blind Individuals
Human middle temporal complex (hMT+) responds also to the perception of non-visual motion in both sighted and early blind individuals, indicating a supramodal organization. Visual experience,
Biological Effects and Safety in Magnetic Resonance Imaging: A Review
TLDR
An updated survey about the effects of non-ionizing EMF employed in MRI, relevant for patients’ and workers’ safety, suggests a need for further studies and prudent use in order to avoid unnecessary examinations.
Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals
TLDR
This study applies independent component analysis (ICA) to isolate motion artifacts in ECG signals and shows that both convolutive and constrained ICA implementations perform better than standard ICA, thus opening up a new field of application for these two methods.
Tactile spatial working memory activates the dorsal extrastriate cortical pathway in congenitally blind individuals.
TLDR
Brain response in four individuals with congenital or early blindness and no visual recollection is examined, indicating that recruitment of the dorsal cortical pathway in response to the tactile spatial working memory task is not mediated by visually-based imagery and that visual experience is not a prerequisite for the development of a more abstract functional organization ofThe dorsal stream.
Smartphone Application for the Analysis of Prosodic Features in Running Speech with a Focus on Bipolar Disorders: System Performance Evaluation and Case Study
TLDR
An Android application designed for analyzing running speech using a smartphone device is designed and it is demonstrated that mean F0 from each voiced segment can be reliably estimated, thus describing prosodic features across the speech sample.
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