Review of Epilepsy - Etiology, Diagnostic Evaluation and Treatment

Shin, Hae Won; Jewells, Valerie; Hadar, Eldad; Fisher, Tiffany; Hinn, Albert R.

doi:10.4172/2376-0281.1000130

Cited by 8 publications

(2 citation statements)

References 72 publications

(113 reference statements)

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“…As stated above, the actual pathology in epilepsy is not always identifiable macroscopically, even with the latest MRI or other diagnostic tools, and the picture is complicated by the multiple predisposing conditions in epilepsy 63 . We suppose that in many cases the pathology may consist of microscopic changes in structures facilitating extracellular ion fluxes that set the extracellular ion concentrations.…”

Section: Microscopical Background Hypothesismentioning

confidence: 99%

Respiratory brain impulse propagation in focal epilepsy

Elabasy

Suhonen

Rajna

et al. 2023

Sci Rep

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Respiratory brain pulsations pertaining to intra-axial hydrodynamic solute transport are markedly altered in focal epilepsy. We used optical flow analysis of ultra-fast functional magnetic resonance imaging (fMRI) data to investigate the velocity characteristics of respiratory brain impulse propagation in patients with focal epilepsy treated with antiseizure medication (ASM) (medicated patients with focal epilepsy; ME, n = 23), drug-naïve patients with at least one seizure (DN, n = 19) and matched healthy control subjects (HC, n = 75). We detected in the two patient groups (ME and DN) several significant alterations in the respiratory brain pulsation propagation velocity, which showed a bidirectional change dominated by a reduction in speed. Furthermore, the respiratory impulses moved more in reversed or incoherent directions in both patient groups vs. the HC group. The speed reductions and directionality changes occurred in specific phases of the respiratory cycle. In conclusion, irrespective of medication status, both patient groups showed incoherent and slower respiratory brain impulses, which may contribute to epileptic brain pathology by hindering brain hydrodynamics.

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Section: Microscopical Background Hypothesismentioning

confidence: 99%

Respiratory brain impulse propagation in focal epilepsy

Elabasy

Suhonen

Rajna

et al. 2023

Sci Rep

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“…Etiology (WEINSTEIN, 2011). Besides electroencephalography (EEG), another variety of diagnostic tools can also be utilized for the description of a syndrome, such as: magnetic resonance imaging (MRI), positron emission tomography (PET), single photon emission computed tomography (SPECT), magneto encephalography (MEG), near-infrared spectroscopy (NIRS) and neuropsychiatric testing (JEWELLS et al,2014).…”

Section: Introduction a N D M O T I V A T I O Nmentioning

confidence: 99%

High-performance detectors for epileptic seizure by machine learning techniques

Beserra¹

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There are way too many people we should be thankful for our achievements.These following lines, however, I believe should be dedicated to those who actively contributed to the feasibility of this work.First of all, we should all acknowledge the fact that it is not easy to do science in a developing country such as Brazil. Structural and financial aid is a must. With this in mind, I would like to thank the support of my parents and grandparents, who provided me with the best, yet simple, structure I could have asked for. Financial aid has been provided to me by the agencies CNPq (Process n. 133921/2016-6) and FAPESP (Process n. 16/19080-2), the latter since I was an undergraduate.With more emphasis on my scientific background, I will always be thankful for the guidance of two persons in particular:The first, in chronological order, is Prof. Roland Köberle, who supervised me during my undergraduate studies. Prof. Köberle has taught me to deeply understand math, because the real science would show up when we are only left with Physics questions. I believe that now I know some math, but my Physics reasoning and questioning have sharpened.Second, the supervisor I am currently involved at this moment, Prof. Fernando J. Von Zuben. Prof. Von Zuben opened the doors of his lab to me at the beginning of 2016 and has been supportive to my work until its very end. I could attend some of his classes in which I learned most of what I know about machine learning. His guidance was fundamental to this accomplishment and if I am to select one aspect of this contact I had with him is how much I felt my decisions and ideas were being trusted. Trust has given me great responsibility, but at the same time incited me to deliver my best.Third, I am ever thankful for the friends who have surrounded me since my undergraduate studies. A special thanks to Marcos M. Raimundo for the partnership, João Fracasso and Saullo Oliveira. Thank you guys from Itaú Bank for the latest ideas concerning this work: Edilson and Tiago. Thanks Vinícius Mikuni, Thales Lima, Lenka Malá and Millena Logrado for the friendship and true critics along this path.I would like very much to thank all the professors who took some time along the way to guide me, providing fresh ideas and material to work with. Thanks Prof. Romis

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SUDEP and Grief: Overview and Current Issues

Flannery

Lomke²

2018

Psychiatr Q

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Review of Epilepsy - Etiology, Diagnostic Evaluation and Treatment

Cited by 8 publications

References 72 publications

Respiratory brain impulse propagation in focal epilepsy

Respiratory brain impulse propagation in focal epilepsy

High-performance detectors for epileptic seizure by machine learning techniques

SUDEP and Grief: Overview and Current Issues

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