22 resultados para Characteristic frequencies
Resumo:
INTRODUCTION: The cerebral resting state in schizophrenia is altered, as has been demonstrated separately by electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) resting state networks (RSNs). Previous simultaneous EEG/fMRI findings in healthy controls suggest that a consistent spatiotemporal coupling between neural oscillations (EEG frequency correlates) and RSN activity is necessary to organize cognitive processes optimally. We hypothesized that this coupling is disorganized in schizophrenia and related psychotic disorders, in particular regarding higher cognitive RSNs such as the default-mode (DMN) and left-working-memory network (LWMN). METHODS: Resting state was investigated in eleven patients with a schizophrenia spectrum disorder (n = 11) and matched healthy controls (n = 11) using simultaneous EEG/fMRI. The temporal association of each RSN to topographic spectral changes in the EEG was assessed by creating Covariance Maps. Group differences within, and group similarities across frequencies were estimated for the Covariance Maps. RESULTS: The coupling of EEG frequency bands to the DMN and the LWMN respectively, displayed significant similarities that were shifted towards lower EEG frequencies in patients compared to healthy controls. CONCLUSIONS: By combining EEG and fMRI, each measuring different properties of the same pathophysiology, an aberrant relationship between EEG frequencies and altered RSNs was observed in patients. RSNs of patients were related to lower EEG frequencies, indicating functional alterations of the spatiotemporal coupling. SIGNIFICANCE: The finding of a deviant and shifted coupling between RSNs and related EEG frequencies in patients with a schizophrenia spectrum disorder is significant, as it might indicate how failures in the processing of internal and external stimuli, as commonly seen during this symptomatology (i.e. thought disorders, hallucinations), arise.
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AIM Personality dimensions are frequently abnormal in psychosis. We examined if these abnormalities form a personality profile that is characteristic for patients symptomatically at risk of psychosis. METHODS Four higher order personality dimensions were assessed in 104 at-risk patients, 67 clinical and 97 healthy controls with the 'Dimensional Assessment of Personality Pathology', and analysed by two-step cluster procedure to detect personality profiles. Logistic regression was used to test for predictors of profile assignment. RESULTS Low and high scorers were distinguished by two profiles. Patients were more likely high scorers. The presence of clinically relevant depression, though equally frequent in clinical groups, best predicted high scorers among patients. CONCLUSIONS Though at-risk patients were significantly more often high scorers, this seemed to be a general reflection of the level of psychopathology rather than a group characteristic. Thus, personality dimensions might be of little value for facilitating early detection but might be important to consider in early intervention approaches.
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High reflective materials in the microwave region play a very important role in the realization of antenna reflectors for a broad range of applications, including radiometry. These reflectors have a characteristic emissivity which needs to be characterized accurately in order to perform a correct radiometric calibration of the instrument. Such a characterization can be performed by using open resonators, waveguide cavities or by radiometric measurements. The latter consists of comparative radiometric observations of absorbers, reference mirrors and the sample under test, or using the cold sky radiation as a direct reference source. While the first two mentioned techniques are suitable for the characterization of metal plates and mirrors, the latter has the advantages to be also applicable to soft materials. This paper describes how, through this radiometric techniques, it is possible to characterize the emissivity of the sample relative to a reference mirror and how to characterize the absolute emissivity of the latter by performing measurements at different incident angles. The results presented in this paper are based on our investigations on emissivity of a multilayer insulation material (MLI) for space mission, at the frequencies of 22 and 90 GHz.
Distinct roles of cortical and pallidal β and γ frequencies in hemiparkinsonian and dyskinetic rats.
Resumo:
Enhanced β band (βB) activity, which is suppressed by levodopa (LD) treatment, has been demonstrated within the basal ganglia (BG) of Parkinson's disease (PD) patients. However, some data suggest that Parkinsonian symptoms are not directly related to this brain frequency and therefore, its causative role remains questionable. A less explored phenomenon is the link between the γ band (γB) and PD phenomenology. Here, we monitored the development of the oscillatory activity during chronic LD depletion and LD treatment in Parkinsonian and levodopa-induced dyskinesia (LID) in rats. We found a significant and bilateral power increase in the high βB frequencies (20-30Hz) within the first 10days after 6-hydroxydopamine (6-OHDA) lesion, which was in accordance with a significant depletion of dopaminergic fibers in the striatum. We also observed a clear-cut γB increase during LD treatment. The development of LID was characterized by a slight increase in the cumulative power of βB accompanied by a large augmentation in the γB frequency (60-80Hz). This latter effect reached a plateau in the frontal cortex bilaterally and the left globus pallidus after the second week of LD treatment. Our data suggest that the βB parallels the emergence of Parkinsonian signs and can be taken as a predictive sign of DA depletion, matching TH-staining reduction. On the other hand, the γB is strictly correlated to the development of LID. LD treatment had an opposite effect on βB and γB, respectively.