The behavioral variant frontotemporal dementia (bvFTD) usually emerges with behavioral changes similar to changes in late-life bipolar disorder (BD) especially in the early stages. According to the literature, a substantial number of bvFTD cases have been misdiagnosed as BD. Since the literature lacks studies comparing differential diagnosis ability of electrophysiological and neuroimaging findings in BD and bvFTD, we aimed to show their classification power using an artificial neural network and genetic algorithm based approach. Eighteen patients with the diagnosis of bvFTD and 20 patients with the diagnosis of late-life BD are included in the study. All patients' clinical magnetic resonance imaging (MRI) scan and electroencephalography recordings were assessed by a double-blind method to make diagnosis from MRI data. Classification of bvFTD and BD from total 38 participants was performed using feature selection and a neural network based on general algorithm. The artificial neural network method classified BD from bvFTD with 76% overall accuracy only by using on EEG power values. The radiological diagnosis classified BD from bvFTD with 79% overall accuracy. When the radiological diagnosis was added to the EEG analysis, the total classification performance raised to 87% overall accuracy. These results suggest that EEG and MRI combination has more powerful classification ability as compared with EEG and MRI alone. The findings may support the utility of neurophysiological and structural neuroimaging assessments for discriminating the 2 pathologies.
Obsessive-compulsive disorder (OCD) and attention-deficit and hyperactivity disorder (ADHD) frequently coexist. To understand whether childhood ADHD can increase the risk of OCD in adulthood and whether it influences the phenomenology of OCD, we investigated the symptoms of ADHD during childhood in obsessive-compulsive adults who had never been diagnosed as ADHD. Adults with OCD (n = 83) were given the Wender Utah Rating Scale (WURS), Yale-Brown Obsessive Compulsive Scale (Y-BOCS), Barratt Impulsiveness Scale-11 (BIS-11), Hamilton Depression Rating Scale-17 (HDRS-17) and Beck Anxiety Inventory (BAI). The prevalence of childhood ADHD symptoms was 40.9 % (n = 34) and that of adult ADHD was 16.9 % (n = 14). Patients with childhood ADHD symptoms had an earlier onset of OCD, higher scores of the BAI and BIS-11. The scores of the Y-BOCS and HDRS-17 did not differ between those having and not having childhood ADHD symptoms. Childhood history of ADHD symptoms is common in adult OCD patients who have never been diagnosed as ADHD. Childhood ADHD symptoms are associated with an earlier age of OCD, more severe anxiety and higher impulsiveness. Even remitted ADHD may be a risk factor for OCD in later life.
Lack of insight is a neurocognitive problem commonly encountered in patients with psychotic disorders that negatively affects treatment compliance and prognosis. Measurement of insight is based on self-report scales, which are limited due to subjectivity. This study aimed to determine the correlation between resting state beta and gamma power in 23 patients with schizophrenia and insight. It was observed that as beta and gamma power measured via qualitative electroencephalography (qEEG) increased the level of insight decreased. Negative correlation was found in F3, C3, Cz for gamma activity and in F3 and C3 for beta activity. This finding indicates that resting state qEEG could be used to evaluate the level of insight in patients with schizophrenia.
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