Automatic Labeling of Software Components and their Evolution using Log-Likelihood Ratio of Word Frequencies in Source Code

As more and more open-source software components become available on the internet we need automatic ways to label and compare them. For example, a developer who searches for reusable software must be able to quickly gain an understanding of retrieved components. This understanding cannot be gained at the level of source code due to the semantic gap between source code and the domain model. In this paper we present a lexical approach that uses the log-likelihood ratios of word frequencies to automatically provide labels for software components. We present a prototype implementation of our labeling/comparison algorithm and provide examples of its application. In particular, we apply the approach to detect trends in the evolution of a software system.

Shifted Coupling of EEG Driving Frequencies and fMRI Resting State Networks in Schizophrenia Spectrum Disorders

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.

Distinct roles of cortical and pallidal β and γ frequencies in hemiparkinsonian and dyskinetic rats.

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.