Abstract: This invention is directed to embodiments of systems and methods to identify a subgroup of ADHD at higher risk for complicating conditions that, for example, may be of concern to an ADHD evaluation, may account for attention and behavior symptoms, and may lead a clinician to exclusion of ADHD from primary diagnosis. In one embodiment, a method for identifying a subgroup of attention deficit hyperactivity disorder (ADHD) patients at higher risk for complicating conditions is provided.

Abstract: This invention is directed to systems and methods for analyzing depression, and more particularly relates to systems and methods for analyzing and assessing depression and mood disorders in an individual using electroencephalographic measurements. Embodiments of the invention are not limited to depression, but can also include other mood disorders such as bipolar disorder and other disorders with at least one genetic-related component.

Abstract: This invention is directed to embodiments of systems and methods to identify a subgroup of ADHD at higher risk for complicating conditions that, for example, may be of concern to an ADHD evaluation, may account for attention and behavior symptoms, and may lead a clinician to exclusion of ADHD from primary diagnosis. In one embodiment, a method for identifying a subgroup of attention deficit hyperactivity disorder (ADHD) patients at higher risk for complicating conditions is provided.

Abstract: This invention is directed to systems and methods for analyzing depression, and more particularly relates to systems and methods for analyzing and assessing depression and mood disorders in an individual using electroencephalographic measurements. Embodiments of the invention are not limited to depression, but can also include other mood disorders such as bipolar disorder and other disorders with at least one genetic-related component.

Abstract: This invention is directed to embodiments of systems and methods to identify a subgroup of ADHD at higher risk for complicating conditions that, for example, may be of concern to an ADHD evaluation, may account for attention and behavior symptoms, and may lead a clinician to exclusion of ADHD from primary diagnosis. In one embodiment, a method for identifying a subgroup of attention deficit hyperactivity disorder (ADHD) patients at higher risk for complicating conditions is provided.

Abstract: Embodiments of the invention can provide systems and methods for analyzing and assessing attention deficit hyperactivity disorder (ADHD) by integrating the use of electroencephalography (EEG), and ADHD diagnostic and assessment tools, such as an ADHD rating scale. Embodiments of the invention can provide some or all of the following improvements over conventional systems and methods, including: (1) Increased sensitivity, specificity, and overall accuracy; (2) Improved detection of ADHD; and (3) Distinguishing subjects with ADHD from subjects with a different disorder but having ADHD-like symptoms, such as attention and behavior symptoms similar to ADHD.

Abstract: Embodiments of the invention can provide systems and methods for analyzing and assessing dementia and dementia-type disorders by integrating the use of electroencephalography (EEG), neuropsychological or cognitive testing data, and cardiovascular risk factor data. Embodiments of the invention can provide systems and methods for early detection of dementia, including Alzheimer's disease (AD), vascular dementia (VAD), mixed dementia (AD and VAD), MCI, and other dementia-type disorders. Embodiments of the invention can provide some or all of the following improvements over conventional systems and methods, including: (1) Increased sensitivity, specificity, and overall accuracy; (2) Detection of AD, VAD and mixed dementia; and (3) Accurate detection of mild dementia and some cases of mild cognitive impairment in addition to the detection of moderate to severe dementia.

Abstract: The invention includes systems and methods for managing a patient's biological data and providing a data interpretation tool for the biological data via a network. An exemplary system and method includes collecting biological data from a patient; transmitting a portion of the biological data through the network to a storage device; determining at least one potential indicator variable associated with the patient's biological data; comparing the at least one potential indicator variable associated with the patient's biological data to a standardized set of data associated with a health condition; based upon the comparison, selecting at least one indicator variable; and generating a report including the indicator variable and at least one data interpretation tool to a health care provider associated with the patient.