نتایج جستجو برای: brain signals

تعداد نتایج: 646536  

Blinking and eye movement are one of the most important abilities that most people have, even people with spinal cord problem. By using this ability these people could handle some of their activities such as moving their wheelchair without the help of others. One of the most important fields in Human-Robot Interaction is the development of artificial limbs working with brain signals. The purpos...

E Arabzadeh E Zorzin ME Diamond

Using their whiskers, rats have tactile capacities rivaling those of the human with our fingertips. We have carried out experiments to explore how neurons encode touch signals to build up a central representation. Touch signals begin with the receptors in the follicle of each whisker and can be traced to a columnar module in somatosensory cortex that is connected with the same whisker: the well...

E Arabzadeh E Zorzin ME Diamond

Using their whiskers, rats have tactile capacities rivaling those of the human with our fingertips. We have carried out experiments to explore how neurons encode touch signals to build up a central representation. Touch signals begin with the receptors in the follicle of each whisker and can be traced to a columnar module in somatosensory cortex that is connected with the same whisker: the well...

and Mohammad Saber Hashemi Sara Hashemi

Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...

Journal: :iranian journal of psychiatry and behavioral sciences 0
, atefeh goshvarpour department of biomedical engineering, islamic azad university, mashhad branch, iran.

objective: electroencephalogram is a reliable reflection of many physiological factors modulating the brain. the bispectrum is very useful for analyzing non-gaussian signals such as eeg, and detecting the quadratic phase coupling between distinct frequency components in eeg signals.the main aim of this study was to test the existence of nonlinear phase coupling within the eeg signals in a certa...

Journal: :iranian journal of radiology 0
zhi-hong shao department of radiology, tongji hospital of tongji university, school of medicine, shanghai, china guo-liang wang department of radiology, tongji hospital of tongji university, school of medicine, shanghai, china xiang-hua yi department of pathology, tongji hospital of tongji university, school of medicine, shanghai, china pei-jun wang department of radiology, tongji hospital of tongji university, school of medicine, shanghai, china; department of radiology, tongji hospital of tongji university, school of medicine, shanghai 200065, china. tel: +86-2166111206, fax: +86-2156952231

intracranial gliosis has no typical clinical signals or imaging characteristics. therefore, it can be easily misdiagnosed as neoplasm. hereby, we report a unique case of gliosis that grew outward from the surface of the brain. mri depicted its signal and enhancement pattern similar to the cerebral gray matter. the diagnosis was confirmed by pathology and immunohistochemistry. although it was di...

Introduction: Ensuring an adequate Depth of Anesthesia (DOA) during surgery is essential for anesthesiologists. Since the effect of anesthetic drugs is on the central nervous system, brain signals such as Electroencephalogram (EEG) can be used for DOA estimation. Anesthesia can interfere among brain regions, so the relationship among different areas can be a key factor in the anesthetic process...

Journal: :The Neuroscience Journal of Shefaye Khatam 2022

Separation of Healthy Individuals and Patients with Alzheimer's Disease Using the Effective Communication Brain Signals

2008
G. P. M. F. Mols Federico De Martino Eric O. Postma Uri Hasson

The General Linear Model (GLM), has been used to analyse simultaneous EEG-fMRI to reveal BOLD changes linked to interictal epileptic discharges (IED) identified on scalp EEG. This approach is ineffective when IED are not evident in the EEG. Data-driven fMRI analysis techniques that do not require an EEG derived model may offer a solution in these circumstances. We compared the findings of indep...

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