1. Alzheimer’s Disease
Canadian researchers in Montreal at a research institution called the INRS in conjunction with researchers at the University of Victoria are collaborating on a project to combine promising new Alzheimer’s detection methods with data mining methods developed at the University of Victoria. Their goal is to create a sensitive, selective, and reliable detector for identifying early-stage Alzheimer’s disease. These researchers will be using the NeuroscienceAccelerator to remove artefacts from their data and to determine what brain function characteristics best reveal mild cognitive impairment leading to Alzheimer’s. Once they have built their detector, the NeuroscienceAccelerator will be used to make the detector easily available to other Alzheimer’s researchers to do replication studies to ultimately determine the reliability of the detector. Researchers doing replication studies will submit their data, test the detector, and publish their results. New data will be aggregated on the NeuroScienceAccelerator, the detection algorithm will be improved based on new data, and new replication studies can take place to test new versions of the algorithm. Alzheimers research details
2. Schizophrenia/Bipolar disorder
Established researchers at the University of California, Irvine, USA have collected data in a study to reveal markers for two types of schizophrenia and bipolar disorder from a group of healthy individuals. These researchers are currently awaiting time on the NeuroScienceAccelerator to remove artefacts from their data, use the new data they have collected to test a marker detection idea they created in prior research, and to enhance their marker detection idea using a procedure of brain source localization to improve the selectivity of their marker detection process in distinguishing between types of schizophrenia and bipolar disorder from healthy individuals. Schizophrenia/Bipolar research details
3. Auditory Processing
Researchers in the UK are looking for ways that EEG methods might be used in a standard procedure to identify auditory processing dysfunction in children early.
In a pilot study assessing auditory processing disorders, they found that children with suspected auditory processing issues had different brain activities relating to auditory processing than age-matched controls. Their sample size for the study was small and they need a larger replication study to increase confidence in their finding. Researchers who choose to replicate this study will use the data cleaning and peak detection algorithms available on the NeuroScienceAccelerator and can enhance the original methodology using the data mining capabilities of the accelerator. Auditory processing research details