RAW Deep Brain Stmulation Recordings

The dataset contains 4650 DBS recordings acquired during 46 DBS surgeries for Parkinson's Disease.Metadata describing recordings (patient's id, surgery_id, hemisphere_id, electrode name, recording depth and length, and finally the class) are in the feather format that can be loaded using the Python pandas library.The class has a value 1 for recordings registered within the Subthalamic Nucleus (STN) and 0 otherwise.Raw samples are stored in a npz file format that can be read using the Python numpy library.The dataset contains examples of use in pdf and Python notebook format.This dataset accompanies the paperK.A. Ciecierski, T. Mandat; Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain; Neural Networks; 2023; ISSN 0893-6080; https://doi.org/10.1016/j.neunet.2023.11.021. Please cite the above reference if you wish to use this data.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

neural network checkpoint - best auc

Neural network checkpoint. Chyeckpoint taken for model with best AUC.This dataset accompanies the paperK.A. Ciecierski, T. Mandat; Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain; Neural Networks; 2023; ISSN 0893-6080; https://doi.org/10.1016/j.neunet.2023.11.021. Please cite the above reference if you wish to use this data.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

neural network checkpoint - best loss

Neural network checkpoint. Chyeckpoint taken for model with best loss.This dataset accompanies the paperK.A. Ciecierski, T. Mandat; Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain; Neural Networks; 2023; ISSN 0893-6080; https://doi.org/10.1016/j.neunet.2023.11.021. Please cite the above reference if you wish to use this data.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

neural network checkpoint - best accuracy

Neural network checkpoint. Chyeckpoint taken for model with best accuracy.This dataset accompanies the paperK.A. Ciecierski, T. Mandat; Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain; Neural Networks; 2023; ISSN 0893-6080; https://doi.org/10.1016/j.neunet.2023.11.021. Please cite the above reference if you wish to use this data.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

cache of spectrograms of fragments of MER recordings

Dataset contains cache of spectrograms of chunks of microelectrode recordings. Dataset is used by the software available at https://github.com/konradci/mer_classifierThis dataset accompanies the paperK.A. Ciecierski, T. Mandat; Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain; Neural Networks; 2023; ISSN 0893-6080; https://doi.org/10.1016/j.neunet.2023.11.021. Please cite the above reference if you wish to use this data.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Visual hemineglect and hemihallucinations in a patient with a subcortical infarction

An alcoholic patient with a mainly right subcortical infarction developed contralateral left-sided neglect and then, in the context of alcohol withdrawal, unilateral hallucinations in the non-neglected right hemispace. It is hypothesized that an interruption of the striatocortical pathways could prevent the right hemisphere from representing appropriately internally produced stimuli.</jats:p