Accumulating evidence points to the association of epilepsy, particularly, temporal lobe epilepsy (TLE), with psychiatric disorders, such as schizophrenia. Among these illnesses, the hippocampus is considered the regional focal point of the brain, playing an important role in cognition, psychosis, and seizure activity and potentially suggesting common etiologies and pathophysiology of TLE and schizophrenia. In the present review, we overview abnormal network connectivity between the dentate gyrus (DG) and the Cornus Ammonis area 3 (CA3) subregions of the hippocampus relative to the induction of epilepsy and schizophrenia. In light of our recent finding on the misguidance of hippocampal mossy fiber projection in the rodent model of schizophrenia, we discuss whether ectopic mossy fiber projection is a commonality in order to evoke TLE as well as symptoms related to schizophrenia.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828345 | PMC |
| http://dx.doi.org/10.1155/2018/4852359 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Semantic knowledge of social norms in frontotemporal dementia patients with either predominant frontal or temporal lobe atrophy.
Appl Neuropsychol Adult
December 2024
Department of Clinical Psychology, William James College, Newton, MA, USA.
Objective: Little is known about the relative contribution of frontal and anterior temporal lobes in semantic knowledge of social norms in frontotemporal dementia (FTD). Therefore, this study examined performance of FTD patients with either frontal (F-FTD, left temporal (LT-FTD) or bitemporal lobe atrophy (BT-FTD) on the Social Norms Questionnaire (SNQ) and explored what accounts for the variance in the SNQ-break norm subscale (i.e.
View Article and Find Full Text PDFThe Correlations between Volume Loss of Temporal and Subcortical Functional Subregions and Cognitive Impairment at Various Stages of Cognitive Decline.
J Integr Neurosci
December 2024
Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 637000 Nanchong, Sichuan, China.
Background: The relationship between subregion atrophy in the entire temporal lobe and subcortical nuclei and cognitive decline at various stages of Alzheimer's disease (AD) is unclear.
Methods: We selected 711 participants from the AD Neuroimaging Initiative (ADNI) database, which included 195 cases of cognitively normal (CN), 271 cases of early Mild cognitive impairment (MCI) (EMCI), 132 cases of late MCI (LMCI), and 113 cases of AD. we looked at how subregion atrophy in the temporal lobe and subcortical nuclei correlated with cognition at different stages of AD.
Identifying Key Prognostic Indicators for Relapse and Chronic Epilepsy in Autoimmune Encephalitis: Insights from a Multicenter Retrospective Study.
J Inflamm Res
December 2024
Department of Neurology, Yancheng Third People's Hospital, Yancheng, People's Republic of China.
Objective: The aims of this study were to investigate clinical factors associated with encephalitis relapse and chronic epilepsy development, and to evaluate the effectiveness of immunotherapy on encephalitis relapse.
Methods: Patients with autoimmune encephalitis diagnosed as positive for neuronal surface antibodies in five general hospitals were included. A minimum 12-month follow-up period was conducted, and binary logistic regression analysis was used to identify predictors of encephalitis relapse and chronic epilepsy development.
Connectome embedding in multidimensional graph spaces.
Netw Neurosci
December 2024
Department of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand.
Connectomes' topological organization can be quantified using graph theory. Here, we investigated brain networks in higher dimensional spaces defined by up to 10 graph theoretic nodal properties. These properties assign a score to nodes, reflecting their meaning in the network.
View Article and Find Full Text PDFDiscovering prominent differences in structural and functional connectomes using a multinomial stochastic block model.
Netw Neurosci
December 2024
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.
Understanding the differences between functional and structural human brain connectivity has been a focus of an extensive amount of neuroscience research. We employ a novel approach using the multinomial stochastic block model (MSBM) to explicitly extract components that characterize prominent differences across graphs. We analyze structural and functional connectomes derived from high-resolution diffusion-weighted MRI and fMRI scans of 250 Human Connectome Project subjects, analyzed at group connectivity level across 50 subjects.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!