Calculating the Cortical Thickness of Brain by using electrical and mathematical models for Optimal Transcranial Direct Current Stimulation

but.event.date26.04.2022cs
but.event.titleSTUDENT EEICT 2022cs
dc.contributor.authorHamza, Ali
dc.contributor.authorMezl, Martin
dc.contributor.authorZafar, Saima
dc.date.accessioned2023-04-25T10:17:10Z
dc.date.available2023-04-25T10:17:10Z
dc.date.issued2022cs
dc.description.abstracttranscranial direct current stimulation (tDCS) is one of the most well-known brain stimulation techniques. In this technique, a constant low intensity (4mA to 5mA) current provides to the brain to modulate the excitability of neurons. There are two categories of tDCS, and both are used for diagnosing different neural disorders, one is anodal stimulation and the other one is cathodal stimulation. Anodal stimulation is used for patients of stroke, epilepsy and depression. Whereas cathodal stimulation is helpful for the obesity, drug addiction and hypertension. The aim of this research was to improve the efficiency of tDCS which depends on the intensity and magnitude of current applied for stimulation. It is important to note that there are numerous variables that can alter the intensity of the current. Some of these variables are hair thickness, head size, skull, tissues thickness, cortical fluid thickness, age, cortical thickness of the brain. In this article, the cortical thickness of the brain is estimated, and the current intensity is calculated for a patient. The Magnetic resonance images (MRI) data of 8 male subjects are analyzed, the raw MRIs are preprocessed, and layers of the head are segmented using MATLAB tool statistical parametric mapping (SPM). After the segmentation of these layers, we calculated the combined thickness of these layers to calculate the desired value of current. The authenticity of our results is compared with the standard current values. Our results shows that the calculated current intensity is closely matched with the standard values and is a direct function of the cortical thickness of brain which is computed from the MRIs. We claim that using our computation, the stimulation current is more accurate and is patient dependent instead of applying the same current to every patient.en
dc.formattextcs
dc.format.extent421-426cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 28st Conference STUDENT EEICT 2022: General papers. s. 421-426. ISBN 978-80-214-6029-4cs
dc.identifier.isbn978-80-214-6029-4
dc.identifier.urihttp://hdl.handle.net/11012/209378
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 28st Conference STUDENT EEICT 2022: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjecttDCSen
dc.subjectCortical thicknessen
dc.subjectCortical fluid thicknessen
dc.titleCalculating the Cortical Thickness of Brain by using electrical and mathematical models for Optimal Transcranial Direct Current Stimulationen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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