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Lia Maria Hocke, Yunjie Tong and Blaise deBonneval Frederick
Multimodal functional near-infrared spectroscopy?functional magnetic resonance imaging (fNIRS?fMRI) studies have been highly beneficial for both the fNIRS and fMRI field as, for example, they shed light on the underlying mechanism of each method. However...
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Jéssica Monteiro, João Castelhano, Duarte Pignatelli, Armando Tartaro and Nicoletta Cera
Background: Several functional magnetic resonance imaging (fMRI) studies investigated the brain correlates of psychogenic erectile dysfunction (PED) and premature ejaculation (PE), representing the most common sexual dysfunctions in men. These studies al...
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Fabio Scoppa, Sabina Saccomanno, Gianluca Bianco and Alessio Pirino
The aim of this study was to pinpoint the cerebral regions implicated during swallowing by comparing the brain activation areas associated with two different volitional movements: tongue protrusion and tongue elevation. Twenty-four healthy subjects (11?m...
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Angela Lombardi, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Sabina Tangaro and Roberto Bellotti
Functional connectivity analysis aims at assessing the strength of functional coupling between the signal responses in distinct brain areas. Usually, functional magnetic resonance imaging (fMRI) time series connections are estimated through zero-lag corr...
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Faria Zarin Subah, Kaushik Deb, Pranab Kumar Dhar and Takeshi Koshiba
Autism spectrum disorder (ASD) is a complex and degenerative neuro-developmental disorder. Most of the existing methods utilize functional magnetic resonance imaging (fMRI) to detect ASD with a very limited dataset which provides high accuracy but result...
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Aikaterini S. Karampasi, Antonis D. Savva, Vasileios Ch. Korfiatis, Ioannis Kakkos and George K. Matsopoulos
Effective detection of autism spectrum disorder (ASD) is a complicated procedure, due to the hundreds of parameters suggested to be implicated in its etiology. As such, machine learning methods have been consistently applied to facilitate diagnosis, alth...
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Usman Mahmood, Zening Fu, Vince D. Calhoun and Sergey Plis
Functional connectivity (FC) studies have demonstrated the overarching value of studying the brain and its disorders through the undirected weighted graph of functional magnetic resonance imaging (fMRI) correlation matrix. However, most of the work with ...
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