Dataset Information

The antipsychotic drugs olanzapine and haloperidol modify network connectivity and spontaneous activity of neural networks in vitro.

ABSTRACT: Impaired neural synchronization is a hallmark of psychotic conditions such as schizophrenia. It has been proposed that schizophrenia-related cognitive deficits are caused by an unbalance of reciprocal inhibitory and stimulatory signaling. This supposedly leads to decreased power of induced gamma oscillations during the performance of cognitive tasks. In light of this hypothesis an efficient antipsychotic treatment should modify the connectivity and synchronization of local neural circuits. To address this issue, we investigated a model of hippocampal neuronal networks in vitro. Inhibitory and excitatory innervation of GABAergic and glutamatergic neurons was quantified using immunocytochemical markers and an automated routine to estimate network connectivity. The first generation (FGA) and second generation (SGA) antipsychotic drugs haloperidol and olanzapine, respectively, differentially modified the density of synaptic inputs. Based on the observed synapse density modifications, we developed a computational model that reliably predicted distinct changes in network activity patterns. The results of computational modeling were confirmed by spontaneous network activity measurements using the multiple electrode array (MEA) technique. When the cultures were treated with olanzapine, overall activity and synchronization were increased, whereas haloperidol had the opposite effect. We conclude that FGAs and SGAs differentially affect the balance between inhibition and excitation in hippocampal networks.

SUBMITTER: Dzyubenko E

PROVIDER: S-EPMC5599625 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The antipsychotic drugs olanzapine and haloperidol modify network connectivity and spontaneous activity of neural networks in vitro.

Dzyubenko Egor E Juckel Georg G Faissner Andreas A

Scientific reports 20170914 1

Impaired neural synchronization is a hallmark of psychotic conditions such as schizophrenia. It has been proposed that schizophrenia-related cognitive deficits are caused by an unbalance of reciprocal inhibitory and stimulatory signaling. This supposedly leads to decreased power of induced gamma oscillations during the performance of cognitive tasks. In light of this hypothesis an efficient antipsychotic treatment should modify the connectivity and synchronization of local neural circuits. To ad ...[more]

PMID: 28912551

Similar Datasets

Project description:BACKGROUND:Different effectiveness profiles among antipsychotics may be a key point to optimize treatment in patients suffering a first episode of psychosis to impact on long-term outcome. The aim of this study is to compare the clinical effectiveness of olanzapine, risperidone, haloperidol, aripiprazole, ziprasidone, and quetiapine in the treatment of first episode of psychosis at 3-year follow-up. METHOD:From February 2001 to January 2011, 2 phases of a prospective, randomized, open-label study were undertaken. A total of 376 first-episode drug-naïve patients were randomly assigned to olanzapine (n?=?55), risperidone (n?=?63), haloperidol (n?=?56), aripiprazole (n?=?78), ziprasidone (n?=?62), or quetiapine (n?=?62) and followed up for 3 years. The primary effectiveness measure was all cause of treatment discontinuation. In addition, an analysis based on intention-to-treat principle was conducted in the analysis for clinical efficacy. RESULTS:The overall dropout rate at 3 years reached 20.75%. Treatment discontinuation rates were significantly different among treatment groups (olanzapine?=?69.09, risperidone?=?71.43, aripiprazole?=?73.08%, ziprasidone?=?79.03%, haloperidol?=?89.28%, and quetiapine?=?95.53%) (?2?=?79.86; P?=?.000). Statistically significant differences in terms of lack of efficacy, adherence, and tolerability were observed among treatment groups along the 3-year follow-up, determining significant differences in time to all-cause discontinuation (log-rank?=?92.240; P?=?.000). Significant differences between treatments were found in the categories of sleepiness/sedation, increased sleep duration, akinesia, weight gain, ejaculatory dysfunction, extrapyramidal-symptoms, and amenorrhea. CONCLUSIONS:Olanzapine, risperidone, and aripiprazole presented advantages for the first-line treatment of first episode of psychosis in terms of effectiveness. Identifying different discontinuation patterns may contribute to optimize treatment selection after first episode of psychosis.ClinicalTrials.gov Identifier: NCT02526030 https://clinicaltrials.gov/show/NCT02526030.

Project description:Antipsychotic drugs are commonly used to treat psychosis, mood disorders, and anxiety. While there is indirect evidence that some component of the antipsychotic effect of these drugs may involve modulation of dopamine transmission, their mechanism of action is poorly understood. We hypothesized that antipsychotic drugs mediate their effects via epigenetic modulation. Here we tested the effect of an antipsychotic, olanzapine, on the methylation status of genes following chronic treatment. These effects have been revealed through significantly increased (p<0.01) DNA methylation of genes involved in dopaminergic and non-dopaminergic pathways including the glutamatergic, GABAergic, cholinergic, neuregulin and ErbB signaling pathways. The affected genes included GLS in hippocampus, NR1 in cerebellum and GLUD1 and NR2B in liver. Further, from a set of genes in the 22q11.2 micro-deletions that has been previously implicated in psychosis, 22 genes showed increased methylation following olanzapine treatment. Ingenuity Pathway Analysis (IPA) revealed that chronic olanzapine treatment significantly affected several important pathways such as CREB and CDK5 signaling (p=1.4E-05). Also, DNA replication, recombination and repair, cellular movement and cell cycle have been identified as the top networks affected by olanzapine. The results suggest that these downstream effects, aside from D2 blockade, may play a critical role in the biological actions of antipsychotics. These include altered expressions of relevant genes involved in GABAergic, glutamatergic, cholinergic, neuregulin and ErbB signaling pathways. Epigenetic mechanisms involving changes in DNA methylation could, therefore, explain the delay and individualized non-specificity of biological effects of olanzapine. The results also suggest that DNA methylation may play a role in the process of therapeutic efficacy of olanzapine by altering the transcriptome via tissue-specific methylation of genes involved in schizophrenia signaling pathways.

Project description:The study of brain networks, including those derived from functional neuroimaging data, attracts a broad interest and represents a rapidly growing interdisciplinary field. Comparing networks of healthy volunteers with those of patients can potentially offer new, quantitative diagnostic methods and a framework for better understanding brain and mind disorders. We explore resting state functional Magnetic Resonance Imaging (fMRI) data through network measures. We construct networks representing 15 healthy individuals and 12 schizophrenia patients (males and females), all of whom are administered three drug treatments: i) a placebo; and two antipsychotic medications ii) aripiprazole and iii) sulpiride. We compare these resting state networks to a performance at an "N-back" working memory task. We demonstrate that not only is there a distinctive network architecture in the healthy brain that is disrupted in schizophrenia but also that both networks respond to antipsychotic medication. We first reproduce the established finding that brain networks of schizophrenia patients exhibit increased efficiency and reduced clustering compared with controls. Our data then reveal that the antipsychotic medications mitigate this effect, shifting the metrics toward those observed in healthy volunteers, with a marked difference in efficacy between the two drugs. Additionally, we find that aripiprazole considerably alters the network statistics of healthy controls. Examining the "N-back" working memory task, we establish that aripiprazole also adversely affects their performance. This suggests that changes to macroscopic brain network architecture result in measurable behavioral differences. This is one of the first studies to directly compare different medications using a whole-brain graph theoretical analysis with accompanying behavioral data. The small sample size is an inherent limitation and means a degree of caution is warranted in interpreting the findings. Our results lay the groundwork for an objective methodology with which to calculate and compare the efficacy of different treatments of mind and brain disorders.

Dataset Information

The antipsychotic drugs olanzapine and haloperidol modify network connectivity and spontaneous activity of neural networks in vitro.

Publications

The antipsychotic drugs olanzapine and haloperidol modify network connectivity and spontaneous activity of neural networks in vitro.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets