The present invention relates to a movement recovery system, and a method of improving the functional motor recovery of a subject with a movement disorder. The present invention provides for a system and method, which in some embodiments can accurately quantify therapy parameters including compliance, task time spent, muscle coordination and functional improvement by utilizing kinetic, gyroscopic or other movement related information, and/or electromyography (EMG) data. In other embodiments, the system and method provide for functional electrical stimulation (FES) to help control the exercise therapy. The present invention further includes the methods of controlling or utilizing the movement related information, EMG and/or FES to detect, monitor, and control the exercise therapy.

The disclosure describes a method and system or controlling symptoms of patients suffering from Parkinson's Disease. In some examples, one or more biomarkers indicative of a patient's present symptoms are determined. The biomarkers may be used to control therapy delivered to the patient in a closed-loop manner. In addition, biomarkers may be used as an indication of therapy effectiveness.

A system, method and apparatus for diagnosis and therapy. Preferably, the system, method and apparatus is provided for diagnosis and therapy of neurological and/or neuromuscular deficits by using a computational device. Optionally and preferably, the system, method and apparatus track one or more physical movements of the user, which are then analyzed to determine whether the user has one or more neurological and/or neuromuscular deficits. Additionally or alternatively, the system, method and apparatus induce the user to perform one or more physical movements, whether to diagnose such one or more neurological and/or neuromuscular deficits, to treat such one or more neurological and/or neuromuscular deficits, or a combination thereof.

A system for assessing a mental health disorder in a human subject, the system comprising: a display configured to display a series of natural test images to the subject; an input by which the subject can input a response, following the display of each test image, as to whether or not the test image satisfies a predetermined categorization criterion; a control processor configured to control the display of the test images by the display, to measure the duration of time from when each test image is initially displayed to when the corresponding response is input by the subject, and to generate a set of response data including the response times in respect of each of the test images; and a data processor configured to process the set of response data and to compare the processed response data with reference data to assess whether or not the subject has, or is likely to develop, the mental health disorder.

Detection of neurological diseases such as Parkinson's disease can be accomplished through analyzing a subject's speech for acoustic measures based on human factor cepstral coefficients (HFCC). Upon receiving a speech sample from a subject, a signal analysis can be performed that includes identifying articulation range and articulation rate using HFCC and delta coefficients. A likelihood of Parkinson's disease, for example, can be determined based upon the identified articulation range and articulation rate of the speech.

A system for predicting a likelihood of an occurrence of hallucinations in a subject including a master device configured to be at least one of moved, moved on, and manipulated by a subject, a slave device operably connected with the master device and adapted so that the subject is directly or indirectly touched by the slave device according with the master device's movement, a computer device operably connected to both the master and the slave device, the computer device configured to modulate at least one of a time, space, and force activation of the slave device in response to an activation of the master device, record data regarding a difference in at least one of time, space and force activation, compare the recorded data with reference data, and graphically or numerically showing the result of the comparison on a display device, as an indicator of the likelihood of the occurrence of hallucinations in a subject.

Systems and methods for quantitative susceptibility mapping (QSM) using magnetic resonance imaging (MRf) and a localized processing technique are described. A field-shift map is processed based on localized regions of local field perturbations. These localized field-shift regions are processed using established QSM algorithms, or using direct dipole inversion techniques, to compute regional susceptibility distributions from the localized field shift information. When the localized regions correspond to subvolumnes of the field-shift map, local susceptibility maps can be generated and combined to form a composite quantitative susceptibility map. By computing regional susceptibility distributions based on localized field-shift information, residual streaking artifacts in the susceptibility map are constrained to the individual volumes from which they originate, thereby eliminating their propagation through the image.

Provided herein is the design and synthesis of novel molecular rotor fluorophores useful for detection of amyloid or amyloid like proteins. The fluorophores are designed to exhibit enhanced fluorescence emission upon associating with amyloid or amyloid like proteins as compared to unbound compound. Also disclosed herein are the methods for treating of diseases associated with an amyloid or amyloid like proteins.

The present disclosure provides systems and methods for correlating measurement in neurostimulation systems. A neurostimulation system includes a first sensor configured to acquire movement measurements for a subject, a second sensor configured to acquire neural measurements for the subject, and a computing device communicatively coupled to the first and second sensors. The computing device is configured to receive a movement signal from the first sensor, and receive a neural signal from the second sensor, wherein one of the movement signal and the neural signal is a trigger signal and the other of the movement signal and the neural signal is a signal of interest. The computing device is further configured to detect at least one trigger event in the trigger signal, and use the signal of interest based on the at least one trigger event.

A device for stimulating neurons that includes a non-invasive stimulation unit for generating stimuli in stimulation channels. A control unit controls the stimulation unit during first and second time intervals in different stimulation modes. The control unit controls the stimulation unit during 75% or more of the first time interval in the first stimulation mode to repeatedly generate sequences of stimuli and the order in which the stimulation channels generate stimuli is constant for not more than 5 successively generated sequences and then varied. The control unit controls the stimulation unit during 75% or more of the second time interval in a second stimulation mode such that the stimulation channels repeatedly generate sequences of stimuli and the order in which the stimulation channels generate stimuli is constant for at least 25 successively generated sequences and then varied.