2022
DOI: 10.3389/fpubh.2022.879895
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Felt Stigma and Its Underlying Contributors in Epilepsy Patients

Abstract: ObjectiveTo explore the correlated clinical and psychological factors of stigmatization and investigate the relationship between stigma and white matter abnormalities in epilepsy patients.MethodsStigmatization was obtained by a three-item stigma scale in 256 epilepsy patients with genetic or unknown etiology. Personality and quality of life (QOL) were assessed by Eysenck Personality Questionnaire (EPQ) and QOL-31 questionnaire respectively. One hundred and fourteen of them were performed Hamilton Depression Sc… Show more

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Cited by 15 publications
(7 citation statements)
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“…Internalized stigma was the most prevalent type of stigma. In other studies, higher levels of stigma were associated with cultural context, lower education levels, longer disease duration and younger onset age, but also depression and personality traits [30]. As consistently high levels were observed within the same patients, it may be worthwhile to investigate whether they fit similar personality traits.…”
Section: Discussionmentioning
confidence: 90%
“…Internalized stigma was the most prevalent type of stigma. In other studies, higher levels of stigma were associated with cultural context, lower education levels, longer disease duration and younger onset age, but also depression and personality traits [30]. As consistently high levels were observed within the same patients, it may be worthwhile to investigate whether they fit similar personality traits.…”
Section: Discussionmentioning
confidence: 90%
“…2 , Table 1 ). Baicalein, a flavone from Scutellaria baicalensis and Scutellaria lateriflora , has ameliorative effects on seizure propensity and cognitive deficits in epilepsy models [ 52 , 53 ]. In posttraumatic epilepsy, which is acquired epilepsy secondary to traumatic brain injury and has a significant inflammatory component, baicalein exerts neuroprotective and antiepileptic effects [ 53 ].…”
Section: Methodsmentioning
confidence: 99%
“…This review also has its limitations. In the past 200 years, various techniques for studying epilepsy neural circuits have emerged, and it is inevitable that the authors missed some of them in their searching process, such as contributions from surgery and psychology (Guo et al 2023 ; Gunn and Baram 2017 ; Mao et al 2022 ). Additionally, the latest research, such as investigating neuronal connection patterns through AI algorithms and using them as the basis for functional operation, was not discussed separately due to limited literature (Gao et al 2023 ; Cao et al 2023 ; Zhang et al 2021b ).…”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%