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In this study, we analyse the electroencephalography (EEG) signal associated with gait speed changes (i.e. acceleration or deceleration). For data acquisition, healthy subjects were asked to perform volitional speed changes between 0, 1, and 2 Km/h, during treadmill walk. Simultaneously, the treadmill controller modified the speed of the belt according to(More)
Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and typically developed (TD) individuals were developed to identify the abnormality of functional connections (FCs). Due to over-fitting and interferential effects of varying measurement(More)
This paper investigates the influence of the leg afferent input, induced by a leg assistive robot, on the decoding performance of a BMI system. Specifically, it focuses on a decoder based on the event-related (de)synchronization (ERD/ERS) of the sensorimotor area. The EEG experiment, performed with healthy subjects, is structured as a 3 × 2 factorial(More)
[Abstract] Importance Melancholia, with biological homogeneity, has been a key to understand critical features of major depressive disorder (MDD). Previous biomarker studies have focused on severe treatment-resistant depression with recurrent episodes. However, for effective treatment selection, it is also very important to focus on majority of depression(More)
(1) Okada N et al: Abnormal asymmetries in subcortical brain volume in schizophrenia. Mol Psychiatry 2016 Jan 19. [Epub ahead of print] (2) Yahata N et al: A small number of abnormal brain connections predicts adult autism spectrum disorder. Nat Commun, in press. (3) Tada M et al: Differential alterations of auditory gamma oscillatory responses between(More)
This paper introduces a novel asynchronous adaptive brain machine interface (BMI), based on a dry-wireless headset, to trigger the movement of a lower limb exoskeleton robot by foot motor imagery. Specifically, it addresses two issues that are critical for the development of a plug-and-play brain robot interface (BRI): setup-time and the nonstationarity of(More)
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