Epilepsy and neuropsychiatric comorbidities

Agrawal, Niruj; Govender, Suren

doi:10.1192/apt.bp.108.006510

Cited by 20 publications

(18 citation statements)

References 43 publications

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“…It has also been reported that studies in clinical settings have a higher rate of psychiatric morbidity than those carried out within the general population. 33 The rate of psychiatric disorders in our study is, however, lower than the United States studies by Victoroff 34 and Silberman et al . 35 where prevalence rates of 70% and 71% were obtained, respectively.…”

Section: Discussioncontrasting

confidence: 71%

“…It was mentioned by Agrawal and Govender as part of the factors recognized to increase the risk of developing psychopathology in patients with epilepsy. 33 Likewise, in a Nigerian study, it was reported that felt stigma is among the predictors of anxiety and depressive disorders in patients with epilepsy. 13 In our study, discrimination which was experienced by about a third of the studied population was significantly associated with the presence of psychiatric disorder in the first stage analysis but loss this significance at the level of logistic regression.…”

Section: Discussionmentioning

confidence: 98%

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The predictors of psychiatric disorders among people living with epilepsy as seen in a Nigerian Tertiary Health Institution

Ayanda

Sulyman

2016

Niger Med J

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Background:Mental disorders may complicate epilepsy which can further impair the quality of life of people living with this chronic neurological condition. The aim of this study was to determine the types of psychiatric disorders in patients with epilepsy and to determine the sociodemographic and clinical factors that may predict these psychiatric illnesses.Materials and Methods:This is a descriptive cross-sectional study carried out over a period of 6 months at Abubakar Tafawa Balewa University Teaching Hospital, Bauchi, Nigeria. The Mini International Neuropsychiatric Interview was used to determine the psychological health of 74 consecutively recruited adult patients with epilepsy attending the psychiatric outpatients' clinic of the hospital. Psychiatric diagnoses were based on Diagnostic and Statistical Manual for Mental Disorders, 4th Edition criteria, and logistic regression analysis was done to determine variables that predict psychiatric disorder.Results:Majority of the participants were male (67.6%) with their age ranging from 18 to 68 years and the mean age of 30.55 ± 10.91 years. Thirty-three (44.6%) of our study respondents had psychiatric diagnoses that included major depressive disorder (21.6%), schizophrenia (17.6%), generalized anxiety disorder (4.1%), and hypomania (1.4%). Being unemployed (odds ratio [OR] = 3.24. 95% confidence interval [CI] = 1.15–9.10, P = 0.026) and short-term seizure free period (OR = 0.19, 95% CI = 0.04–0.78, P = 0.022) were the variables found to be predictive of psychiatric diagnoses.Conclusions:The study revealed that a large percentage of people living with epilepsy develop mental disorders which can further increase the burden and worsen the quality of life of patients with this chronic debilitating condition.

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Section: Discussioncontrasting

confidence: 71%

Section: Discussionmentioning

confidence: 98%

The predictors of psychiatric disorders among people living with epilepsy as seen in a Nigerian Tertiary Health Institution

Ayanda

Sulyman

2016

Niger Med J

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“…An increase in seizure susceptibility is a co-morbidity frequently associated with NDDs (Agrawal and Govender, 2011). In addition, similar to described above changes in DF GABA and alterations in synaptic activity were reported in different animal models of NDD (Tyzio et al, 2014;Deidda et al, 2015;Banerjee et al, 2016).…”

Section: Altered Vocalization and Social Interactions In Kcc2 E/+ Micesupporting

confidence: 79%

Impaired KCC2 phosphorylation leads to neuronal network dysfunction and neurodevelopmental pathogenesis

Pisella

Gaı̈arsa

Diabira

et al. 2019

Preprint

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KCC2 is a vital neuronal K + /Clco-transporter that is implicated in the etiology of numerous neurological diseases. It is subject to developmental dephosphorylation at threonine 906 and 1007, the functional importance of which remains unclear. We engineered mice with heterozygous phosphomimetic mutations T906E and T1007E (KCC2 E/+ ) to prevent the normal developmental dephosphorylation of these sites. Immature (P15) but not juvenile (P30) KCC2 E/+ mice exhibited altered GABAergic inhibition, an increased glutamate/GABA synaptic ratio, and higher seizure susceptibility. KCC2 E/+ mice also had abnormal ultra-sonic vocalizations at P10-P12 and impaired social behavior at P60. Post-natal bumetanide treatment restored network activity at P15 but not social behavior at P60. Our data show that post-translational KCC2 regulation controls the GABAergic developmental sequence in vivo. The post-translational deregulation of KCC2 could be a risk factor for the emergence of neurological pathology and the presence of depolarizing GABA is not essential for manifestation of behavioral changes.

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“…Antecedent central nervous system injury (including stroke, trauma, and brain infection) may lead to hippocampal volume deficient and then cause the onset of epilepsy and schizophrenia (Schmitt, Malchow, Hasan, & Falkai, ). Other factors, like stress during development, depression, and anti‐epileptic drug effects on mental state, are all important contributor to the comorbidity (Agrawal & Govender, ; Barnes & Paolicchi, ). Deeper understanding on the direct pathway from these environmental risk factors to two phenotypes has to await future studies.…”

Section: Discussionmentioning

confidence: 99%

Genetic overlap between epilepsy and schizophrenia: Evidence from cross phenotype analysis in Hong Kong Chinese population

Gui

Sham

et al. 2017

American J of Med Genetics Pt B

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Epilepsy and schizophrenia are common and typical neurological or mental illness respectively, and sometimes they comorbid in the same patients, however the underlying genetic relationship between the two brain diseases is still not fully understood. To investigate the possible genetic contribution to their comorbidity, we performed polygenic risk score (PRS) analyses and genetic correlation estimation so as to identify the overall genetic overlap between the two diseases. The global schizophrenia PRS is strongly associated with schizophrenia phenotype in Hong Kong population (odds ratio = 1.7, p = 2.26E-16), and focal epilepsy PRS is moderately associated with epilepsy phenotype in Hong Kong population (odds ratio = 1.14, p = 0.013). However the disease-specific PRS can only predict its own well-matched phenotype but not the other ones (p > 0.05). This pattern is further supported by non-significant pairwise genetic correlation and insufficient statistical power for PRS association from the cross-phenotype analyses. Our study reveals there's limited shared genetic aetiology between schizophrenia and epilepsy, and thus supports a model of shared environmental factors to explain the comorbidity between the two phenotypes.

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Epilepsy and neuropsychiatric comorbidities

Cited by 20 publications

References 43 publications

The predictors of psychiatric disorders among people living with epilepsy as seen in a Nigerian Tertiary Health Institution

The predictors of psychiatric disorders among people living with epilepsy as seen in a Nigerian Tertiary Health Institution

Impaired KCC2 phosphorylation leads to neuronal network dysfunction and neurodevelopmental pathogenesis

Genetic overlap between epilepsy and schizophrenia: Evidence from cross phenotype analysis in Hong Kong Chinese population

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