Essays about: "motor evoked potential"

Found 3 essays containing the words motor evoked potential.

  1. 1. TMS stimulus-response asymmetry in lower limbs : Difference in stimulated muscles between dominant and non-dominant leg

    University essay from Malmö universitet/Fakulteten för hälsa och samhälle (HS)

    Author : Adna Pivac; [2022]
    Keywords : lower limbs; motor evoked potential; motor cortex; stimulus-response asymmetry; transcranial magnetic stimulation;

    Abstract : Transcranial magnetic stimulation (TMS) is a 37-year-old non-invasive tool and can be used for diagnostic, therapeutics, and research purposes. In research, TMS is mostly used to stimulate the motor cortex, resulting in a neuroelectric excitatory response called a motor evoked potential (MEP). READ MORE

  3. 2. Potential Neurophysiological Biomarkers for the Diagnosis of Age-related Neurodegenerative Diseases

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Veronika Marková; [2020]
    Keywords : dementia; Alzheimer’s disease; frontotemporal dementia; TMSevoked potentials; motor-evoked potentials; mild cognitive impairment; aging; diagnosis;

    Abstract : The global population with dementia is rapidly increasing around the world.The major risk factor for dementia is aging. There is currently no treatmentavailable and the cost of symptomatic treatment is high. READ MORE

  4. 3. EEG enhancement for EEG source localization in brain-machine speller

    University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

    Author : Parinaz Babaeeghazvini; [2013]
    Keywords : Brain-Computer interface BCI ; Brain-machine speller; Electroencephalogram EEG ; source localization; source reconstruction;

    Abstract : A Brain-Computer Interface (BCI) is a system to communicate with external world through the brain activity. The brain activity is measured by Electro-Encephalography (EEG) and then processed by a BCI system. EEG source reconstruction could be a way to improve the accuracy of EEG classification in EEGbased brain–computer interface (BCI). READ MORE