Abstract: Disclosed herein is a medical system (100, 400) comprising a magnetic resonance imaging system (102) configured for acquiring k-space data (152, 156) of a brain of a subject (118) and a sensory stimulus system (122) configured for providing audio stimulation to the subject. Functional magnetic resonance imaging is used to select at least one subject specific sensory stimulus control command (166) from a predetermined set of sensory stimulus control commands 160 that maximize a change in neural activity in the at least one abnormal stimulus region of the audio cortex of the subject.

Abstract: Disclosed herein is a medical system (100, 300) comprising a camera system (104) configured for providing at least one subject video stream (144), a medical video source (106) configured to provide at least one medical video stream (142), and a network interface (122). The execution of machine executable instructions (140) causes a computational system (120) to: form (200) a teleconferencing connection (130) configured for providing multiple video streams (148) to one or more remote communication devices (114) via the network connection; determine (202) a bandwidth (150) of the network connection; receive (204) a minimum resolution and/or a minimum framerate (152) for one of the multiple video streams; and reduce (206) a framerate and/or resolution and/or halt transmission of an other of the one or more multiple video streams to ensure that transmission of the multiple video streams does not exceed the bandwidth.

Abstract: The present invention relates to a device (20) for analyzing neural activity in the brain of a patient by functional brain imaging to diagnose, assess, follow-up and/or classify a migraine condition of the patient. The device comprises an input (21) for receiving functional brain imaging data of the brain of the patient and an an output (22) for outputting at least one value. Furthermore, the device comprises a processor (23) for determining at least one activity measure indicative of brain activity in at least one predetermined region of interest, and/or between such regions of interest, based on the functional brain imaging data. The processor is adapted to determine and output the at least one value based on (at least) said activity measure(s), The value(s) represent(s) a patient-specific migraine score, a migraine type classification, a prognostic/predictive value, an assessment of influence of different types of migraine triggering events and/or of efficacy and/or suitability of different treatments.

Abstract: A method for retrieving relevant images from an image database based on converting linguistic search criteria into image-based search criteria. User inputs are used to construct a base image from a combination of pre-formed graphical or visual image elements, and an image database is then queried with the base image using image-based searching. The resulting retrieved images may be exported to a user training system for use in training a user using the images.

Abstract: Disclosed here is a medical system (100, 400) comprising a memory (110) storing machine executable instructions (112) and a network graph (114, 114?). The network graph comprises network nodes (300) and network edges (302). At least a portion of the network nodes comprise node specific subject metadata. The network edges comprise configuration metadata comprises routing data for establishing a communication channel for communicating data between two network nodes of the network graph using a communication device. The execution of the machine executable instructions causes a computational system (104) to: create (200) a new node (116) comprising new subject metadata (118) in the network graph; search (202) for a closest matching network node (122) selected from the network nodes, and construct (204) new network edges (126) for the new node in the network graph by replicating of at least a portion of the network edges of the closest matching network node.

Abstract: Disclosed herein is a medical system (100, 600) comprising: a memory (110) storing machine executable instructions (120), receiver specific metadata (122, 122?), and database of questions (124). The receiver specific metadata comprises pointers to at least a portion of the database of questions. The medical system further comprises a computational system (104).

Abstract: Disclosed herein is a medical instrument (100) comprising a magnetic resonance imaging system (102) configured for acquiring k-space data (148, 152, 166) of a brain of a subject (118) with a missing limb (128) and a complementary limb (129) and a virtual reality system (122). The execution of machine executable instructions causes a computational system (132) to: identify (210) a complementary limb functional region (156) using functional magnetic resonance imaging and determine (212) a phantom limb functional region (158) in the brain by applying brain symmetry.

Abstract: A method for adjustment of a cognitive testing routine in dependence upon detection of a motor impairment of the patient during performance of the cognitive testing routine. In particular, a workflow for administering a neuropsychological assessment which comprises one or more cognitive tests is adjusted in dependence upon detection of a motor impairment.

Abstract: A means for distinguishing subjects with subtle cognitive impairment in the context of a neuropsychological assessment which comprises a battery of cognitive tests. A first set of tests is administered which have a time-constraint or other cognitive demand parameter imposed. A second set of tests is administered for which the time constraint or other cognitive demand parameter is not imposed. Based on comparing or relating the scores between the two sets of tests, subtle cognitive impairment can be detected, based on a criterion that subjects with subtle cognitive impairment present with a greater disparity in these two sets of scores than do normal subjects.

Abstract: Disclosed herein is a medical system (200, 300) comprising an augmented reality system (204) configured for rendering virtual objects within a visual three-dimensional field of view of an operator (214).

Abstract: The present invention relates to a cognitive performance determination apparatus (10), comprising: —an input unit (20); and—a processing unit (30). The input unit is configured to provide the processing unit with results of a plurality of trials of a test, wherein the results of each trial is generated by a person undertaking a plurality of events of each trial. The processing unit is configured to determine a plurality of performance values for the results of the plurality of trials of the test, wherein a performance value is determined for each trial of the plurality of trials. The processing unit is configured to determine information about the person, and wherein the determination of the information about the person comprises a calculation of a curve of a model fit to at least some of the plurality of performance values and/or the determination of the information about the person comprises a calculation of performance variability between at least one consecutive pair of performance values.

Abstract: An apparatus for monitoring patients undergoing a Magnetic Resonance Image (MRI) scan provides an input, a processor, and an output. The input provides the processor with at least one sensor data of a patient undergoing an MRI scan by an MRI scanner. The input provides the processor with at least one scan parameter of the MRI scanner for the MRI scan. The input also provides the processor with at least one characteristic of the patient. The processor predicts a stress level of the patient and/or a motion state of the patient, the prediction or predictions utilize at least one sensor data of the patient, the at least one scan parameter of the MRI scanner, and the at least one characteristic of the patient. The output outputs information relating to the predicted stress level of the patient and/or the predicted motion state of the patient.

Abstract: It is proposed to obtain information about a stress or anxiety level of a subject within a predetermined time period before, during and/or after a capture time of a fMRI scan image. Using this information, embodiments may provide additional/supplementary information that may aid, assist or otherwise improve interpretation of the fMRI scan image.

Abstract: The present invention relates to a cognitive impairment determination apparatus (10), comprising: an input unit (20): a processing unit (30, 120); and an output unit (40). The input unit is configured to provide the processing unit with a plurality of first task trial results, wherein the plurality of first task trial results is generated by a patient having conducted a plurality of trials of a first task. The processing unit is configured to determine an index for the patient, wherein the determination of the index comprises a calculation of a representation of fluctuations in the plurality of first task trial results. The processing unit is configured to determine that the patient should undergo a scan of the brain, wherein the determination comprises utilization of the index for the patient. The output unit is configured to output information that the patient should undergo the scan of the brain if the processing unit determines that the patient should undergo the scan of the brain.

Abstract: A method and system for assessing a subject using fMRI analysis of the brain activity of a subject while they perform a set of cognitive tasks. For each task, a first level of performance in completing the task is derived. For at least some of the tasks which have been completed to a satisfactory level of performance, it is assessed if any of those tasks showed increased activity, above a threshold, of a region of the brain different to a region of the brain associated with the task. For those tasks, a further fMRI analysis is carried out while they perform a further cognitive task but with additional cognitive loading. The fMRI analysis and the further fMRI analysis are compared. This for example enables determination that a patient is using compensation mechanisms to complete the cognitive tasks.

Abstract: In order to improve MRI workflow, a recommender system is provided that comprises an input unit, a processing unit, and an output unit. The input unit is configured to receive data comprising information about a plurality of pre-tests provided to a patient and associated pre-test results. The plurality of pre-tests is performed prior to an MRI scan session. The plurality of pre-tests comprises a cognitive test, a sensorimotor test, or a combination thereof. The processing unit is configured to generate, based on the received data, a cognitive profile of the patient indicative of an individual's pattern of relative strengths and difficulties across several cognitive domains. The processing unit is further configured to determine, based on the cognitive profile of the patient, a task implementation for the MRI scan session. The processing unit is further configured to provide, via the output unit, a recommendation of the determined task implementation for the MRI scan session.

Abstract: Disclosed herein is a medical instrument (100) comprising a magnetic resonance imaging system (102) configured for acquiring k-space data (148, 152, 166) of a brain of a subject (118) with a missing limb (128) and a complementary limb (129) and a virtual reality system (122). The execution of machine executable instructions causes a computational system (132) to: identify (210) a complementary limb functional region (156) using functional magnetic resonance imaging and determine (212) a phantom limb functional region (158) in the brain by applying brain symmetry.

Abstract: A method and apparatus for use as part of diagnostic analysis of the psychiatric or neurological health of a patient based on use of a normative database of fMRI data results and cognitive task results for a population of prior patients. Embodiments propose to acquire fMRI data of a particular set of one or more regions of the brain of a patient while the patient is performing a cognitive task, and to record at the same time results of the patient's performance in the cognitive task. A combination of both the cognitive task results and the fMRI data for the brain regions is used to provide an indicator as to a cognitive health status of the patient. More particularly, a normative database of fMRI data results and cognitive task results for a population of patients is used as a reference. This may store results both for healthy patients and pathological patients, to provide a normal and abnormal reference.

Abstract: The present invention relates to a method (10) for monitoring the performance of a predetermined test task executed by a subject during an fMRI examination. The method comprises acquiring (11) a timeseries of fMRI images and providing (12) a sensory stimulus to the subject during the acquisition in accordance with the predetermined test task. The method comprises determining (13), after the sensory stimulus, an activity measure indicative of brain activity in at least one predetermined region of interest, and generating (14) at least one signal when the activity measure is indicative of a poor performance of and/or compliance to the predetermined test task. The signal is generated during the acquisition of the time series and/or before removing the subject from the magnetic resonance imaging system. Further aspects of the invention relate to computer program products, computer systems and MRI systems.

Abstract: In order to enable more accurate calibration of brain, there is provided a system for creating a hemodynamic brain atlas for calibration of brain hemodynamics. The system comprises a non-invasive transcranial neurostimulation device, a non-invasive neuromonitoring device, and a computing device. The non-invasive transcranial neurostimulation device is configured to induce neuronal activity to evoke a hemodynamic response in a target region of interest (ROI) of a brain of a human subject. The non-invasive neuromonitoring device is configured to monitor the evoked hemodynamic response in the target ROI. The computing device configured to determine a set of parameters representing a hemodynamic response function, HRF, of the evoked hemodynamic response in the target ROI, and to associate the set of parameters of the HRF with the target ROI to form the hemodynamic brain atlas.