Detecting Cognitive States for Enhancing Driving Experience

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Resting-state fMRI has proven to entail subject-specific signatures that can serve as a fingerprint to identify individuals. Conventional methods are based on building a connectivity matrix based on correlation between the average time course of pairs of b ...

Cognitive decline and hallucinations are common and debilitating non-motor symptoms, usually occurring during later phases of Parkinson’s disease (PD). Minor hallucinations (MH) appear early in the disease course and have been suggested to predict cognitiv ...

Functional and structural connectivity alterations in short- and long-range projections have been reported across neurodevelopmental disorders (NDD). Interhemispheric callosal projection neurons (CPN) represent one of the major long-range projections in th ...

The relationship between age-related changes in brain structural connectivity (SC) and functional connectivity (FC) with cognition is not well understood. Furthermore, it is not clear whether cognition is represented via a similar spatial pattern of FC and ...

Previous studies have shown that self-generated stimuli in auditory, visual, and somatosensory domains are attenuated, producing decreased behavioral and neural responses compared to the same stimuli that are externally generated. Yet, whether such attenua ...

Brain-Machine interfaces aim to create a direct neural link between user's brain and machines. This goal has pushed scientists to investigate a large spectrum of applications in the realm of assistive and rehabilitation technologies. However, despite great ...

Surgical treatment of tumors, epileptic foci or of vascular origin, requires a detailed individual pre-surgical workup and intra-operative surveillance of brain functions to minimize the risk of post-surgical neurological deficits and decline of quality of ...

Advances in sports sciences and neurosciences offer new opportunities to design efficient and motivating sport training tools. For instance, using NeuroFeedback (NF), athletes can learn to self-regulate specific brain rhythms and consequently improve their ...

Carry-over effects on brain states have been reported following emotional and cognitive events, persisting even during subsequent rest. Here, we investigated such effects by identifying recurring co-activation patterns (CAPs) in neural networks at rest wit ...

The synchronized firing of distant neuronal populations gives rise to a wide array of functional brain networks that underlie human brain function. Given the enormous perception, learning, and cognition potential of the human brain, it is not surprising th ...

Objective: We employed dual-site TMS to test whether ipsilateral functional premotor-motor connectivity is altered in relapsing-remitting Multiple Sclerosis (RR-MS) and is related to central fatigue. ...

Cognitive information has been exploited in non-invasive Brain Computer Interface (BCI) scenarios to provide autonomous external agents with additional information. In this context, Error-related potentials (ErrPs), temporal deflections in electroencephalo ...

The actionable space surrounding the body, referred to as peripersonal space (PPS), has been the subject of significant interest of late within the broader framework of embodied cognition. Neurophysiological and neuroimaging studies have shown the represen ...

Lower limb amputation (LLA) destroys the sensory communication between the brain and the external world during standing and walking. Current prostheses do not restore sensory feedback to amputees, who, relying on very limited haptic information from the st ...

Creating interactive characters is one of the most challenging tasks of videogame design. In order to facilitate such an endeavor, we introduce a decisional and behavior synthesis architecture integrated in the game engine Unity3D. A distinguishing feature ...

One of the goals of the Neural Engineering System Design (NESD) program in the United States and of similar programs around the world is to develop an interface able to read from one million neurons in parallel. This is well beyond the capabilities of trad ...

Modern cars can support their drivers by assessing and autonomously performing different driving maneuvers based on information gathered by in-car sensors. We propose that brain–machine interfaces (BMIs) can provide complementary information that can ease ...

To investigate whether a motor attempt EEG paradigm coupled with functional electrical stimulation can detect command following and, therefore, signs of conscious awareness in patients with disorders of consciousness, we recorded nine patients admitted to ...

Stroke is a main cause for long-term disability. Stroke symptoms cover various domains, e.g., motor, sensory, language, or other cognitive functions. In clinical practice and rehabilitation research, especially motor impairment attracts much attention. How ...

Brain-machine interfaces (BMIs) enable humans to interact with devices by modulating their brain signals. Despite impressive technological advancements, several obstacles remain. The most commonly used BMI control signals are derived from the brain areas i ...

Detecting Cognitive States for Enhancing Driving Experience

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Brain Fingerprinting Using Fmri Spectral Signatures On High-Resolution Cortical Graphs

Theta oscillations and minor hallucinations in Parkinson’s disease reveal decrease in frontal lobe functions and later cognitive decline

CDKL5 sculpts functional callosal connectivity to promote cognitive flexibility

Mapping of Structure-Function Age-Related Connectivity Changes on Cognition Using Multimodal MRI

Increased functional connectivity of the intraparietal sulcus underlies the attenuation of numerosity estimations for self-generated words

Motor state transitions and Breathing in Brain Machine Interfaces

The perspectives of mapping and monitoring of the sense of self in neurosurgical patients

Uncovering EEG Correlates of Covert Attention in Soccer Goalkeepers: Towards Innovative Sport Training Procedures

Brain functional connectivity dynamics at rest in the aftermath of affective and cognitive challenges

Exploring dynamic functional connectivity by incorporating prior knowledge of brain structure

Probing Context-Dependent Modulations of Ipsilateral Premotor-Motor Connectivity in Relapsing-Remitting Multiple Sclerosis

Inferring subjective preferences on robot trajectories using EEG signals

Increased Neural Strength and Reliability to Audiovisual Stimuli at the Boundary of Peripersonal Space

Enhancing functional abilities and cognitive integration of the lower limb prosthesis

A Too to Design Interactive Characters Based on Embodied Cognition

First Biopotential Recordings from a Liquid Crystal Optrode

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

Motor Attempt EEG Paradigm As a Diagnostic Tool for Disorders of Consciousness

Non-invasive brain stimulation to enhance cognitive rehabilitation after stroke

Harnessing prefrontal cognitive signals for brain-machine interfaces