98%
921
2 minutes
20
We conducted a survey to assess public awareness of epilepsy and stigma expression in different social groups in Tbilisi, Georgia. Respondents were divided into those from a medical or paramedical background, those with a nonmedical professional background, and a group with unskilled workers or unemployed individuals. One thousand and sixteen people completed a Knowledge, Attitude and Perception questionnaire. Medical and paramedical professionals had a better general knowledge about epilepsy, its possible causes, and its nature, but their views on treatment and attitudes towards epilepsy were the same or worse when compared to the other groups. Of the respondent, 14% would not let their children play with people with epilepsy, and 75% would not allow their children to marry a person with epilepsy. Nearly a third of teachers considered epilepsy a psychiatric disorder. This suggests a high degree of stigma towards epilepsy in Georgia. Increasing awareness is crucial to ameliorate this.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.yebeh.2013.02.011 | DOI Listing |
Br J Pharmacol
September 2025
Department of Physiology and Medical Physics, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Background And Purpose: Neuroinflammation is increasingly recognised to contribute to drug-resistant epilepsy. Activation of ATP-gated P2X7 receptors has emerged as an important upstream mechanism, and increased P2X7 receptor expression is present in the seizure focus in rodent models and patients. Pharmacological antagonists of P2X7 receptors attenuate seizures in rodents, but this has not been explored in human neural networks.
View Article and Find Full Text PDFJ Neurosci
September 2025
Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Human speech perception is multisensory, integrating auditory information from the talker's voice with visual information from the talker's face. BOLD fMRI studies have implicated the superior temporal gyrus (STG) in processing auditory speech and the superior temporal sulcus (STS) in integrating auditory and visual speech, but as an indirect hemodynamic measure, fMRI is limited in its ability to track the rapid neural computations underlying speech perception. Using stereoelectroencephalograpy (sEEG) electrodes, we directly recorded from the STG and STS in 42 epilepsy patients (25 F, 17 M).
View Article and Find Full Text PDFJ Med Genet
September 2025
Department of Pediatrics, Danish Epilepsy Center, Dianalund, Denmark
Rare variants in , the gene encoding the GluA3 subunit of amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA)-type glutamate receptors (AMPARs), are associated with defects in early brain development. Disease-causing variants are generally categorised as either loss of function (LoF) or gain of function (GoF) that appear to be linked to different symptoms. Here, we reported a de novo variant (N651D) that has mixed LoF and GoF in a female patient with a devastating developmental and epileptic encephalopathy, parkinsonism and cortical malformation.
View Article and Find Full Text PDFBMJ Case Rep
September 2025
Gandhi Medical College and Hospital, Secunderabad, Telangana, India
Fahr's syndrome is a rare neurological condition marked by unusual calcifications in the basal ganglia and other brain regions, often resulting from metabolic disorders, such as hypoparathyroidism. Secondary hypoparathyroidism, a frequent complication of total thyroidectomy, can lead to Fahr's syndrome, manifesting as movement disorders, seizures, psychiatric symptoms and indications of calcium deficiency. This case report discusses a woman in her mid-30s who developed Fahr's syndrome due to secondary hypoparathyroidism after total thyroidectomy.
View Article and Find Full Text PDFNeurobiol Dis
September 2025
Farber Institute for Neuroscience, Department of Neurology, Thomas Jefferson University; Philadelphia, PA, USA. Electronic address:
Temporal lobe epilepsy (TLE) patients experience shifts between non-seizing and seizing brain states, but the structural networks underlying these transitions remain undefined and poorly characterized. We detected dynamic brain states in resting-state fMRI and constructed linked structural networks utilizing multi-shell diffusion-weighted MR data. Leveraging network control theory, we interrogated the structural data for all possible brain state transitions, identifying those requiring abnormal levels of transition energy (low or high) in TLE compared to matched healthy participants (n's = 25).
View Article and Find Full Text PDF