Abstract: The clinical diagnosis and monitoring of patients with neurological conditions may be established through behavioral examinations, assessments or evaluations, or neuroimaging scans. The system and methods described herein diagnose the cognitive function of a subject by measuring the neural response of the subject to one or more naturalistic sensory stimuli. The system measures the subject's sensory evoked response to the naturalistic sensory stimuli by computing the statistical comparison between the subject's neural signal and either the raw stimulus signal or the stimulus' signal envelope. A latency value, or other signal feature, is extracted from the subject's sensory evoked response and a diagnosis of the subject's cognitive function is then made based on the identified latency value or other extracted signal feature.

Abstract: The system and methods described herein determine a subject's indication of attention to a first and a second sensory stimuli. The system determines a sensory evoked response of the subject by calculating the statistical relationship between the subject's neural response to the stimuli and a signal feature of the first and the second sensory stimuli. A magnitude value of the sensory evoked response is extracted to determine whether the subject attended-to or ignored the sensory stimuli. The system will select the stimuli that elicited the greater indication of attention, and then trigger further processing by a computer. Such processing can include selecting future content for improving safety warnings, educational materials, or advertisements or further processing can include controlling and navigating a brain computer user interface.

Abstract: The clinical diagnosis and monitoring of patients with neurological conditions may be established through behavioral examinations, assessments or evaluations, or neuroimaging scans. The system and methods described herein diagnose the cognitive function of a subject by measuring the neural response of the subject to one or more naturalistic sensory stimuli. The system measures the subject's sensory evoked response to the naturalistic sensory stimuli by computing the statistical comparison between the subject's neural signal and either the raw stimulus signal or the stimulus' signal envelope. A latency value, or other signal feature, is extracted from the subject's sensory evoked response and a diagnosis of the subject's cognitive function is then made based on the identified latency value or other extracted signal feature.

Abstract: The system and methods described herein determine a subject's indication of attention to a first and a second sensory stimuli. The system determines a sensory evoked response of the subject by calculating the statistical relationship between the subject's neural response to the stimuli and a signal feature of the first and the second sensory stimuli. A magnitude value of the sensory evoked response is extracted to determine whether the subject attended-to or ignored the sensory stimuli. The system will select the stimuli that elicited the greater indication of attention, and then trigger further processing by a computer. Such processing can include selecting future content for improving safety warnings, educational materials, or advertisements or further processing can include controlling and navigating a brain computer user interface.