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This study analyzes the connectivity pattern of the default mode network (DMN) in patients with Alzheimer's disease (AD) in comparison with young and elderly controls using the minimum spanning tree (MST). This tree is a tool from graph theory and connects all the nodes of a graph with the minimum cost. The findings revealed that the alterations of the(More)
BACKGROUND AND PURPOSE Brain has a capacity for reorganization that enables use-dependent adaptations to acquire skills. Previous studies demonstrated morphometric and functional use-dependent changes in the brains of musicians. The purpose of this study was to investigate the differences in metabolite concentrations in the planum temporale, an area(More)
OBJECTIVE To investigate the interaction of treatment-related hemodynamic changes with genotype status for Synaptosomal associated protein 25 (SNAP-25) gene in participants with attention deficit hyperactivity disorder (ADHD) on and off single dose short-acting methylphenidate treatment with functional near-infrared spectroscopy (fNIRS). METHOD A total of(More)
The authors studied 20 patients with subacute sclerosing panencephalitis (SSPE) to investigate the correlations between MRI, magnetic resonance spectroscopy (MRS), and clinical status. MRI findings did not correlate with clinical status. By contrast, all patients had reductions in N-acetyl aspartate (NAA) and increase in myoinositol (mI) (p < 0.01), and NAA(More)
An altered neurovascular coupling has been proposed in migraine. We aimed to investigate neurovascular coupling during a mental task interictally in patients with migraine without aura (MO) by near-infrared spectroscopy (NIRS). Twelve migraineurs and 12 healthy controls were included. Using NIRS, we recorded the magnitude and latency of cortical changes in(More)
In this study, adaptive filtering techniques have been used in an attempt to model the respiratory system. The respiratory system has been considered as a dynamic system for which input-output relationship is to be defined. Simultaneous measurement of the respiratory sounds over the trachea and posterior chest were made, with the signal from the trachea(More)
This study analyzes the connectivity pattern of the default mode network (DMN) in patients with Alzheimer's disease (AD) in comparison with young and elderly controls using the minimum spanning tree (MST). The findings revealed that the alterations of the basic structure represented by the MST might provide valuable insights about the physiopathology of the(More)
In this study, the functional magnetic resonance imaging data from Alzheimer's patients and nondemented older adults are investigated using graph theory. Voxel-based graphs were built on the data obtained from an international data center and their clustering coefficients and characteristic path lengths were calculated. No significant differences were found(More)
This study proposes an approach to estimate airflow from respiratory sounds using time varying autoregressive modeling. Exploiting the well-established relationship between respiratory sounds and airflow, the sound signals from posterior chest and trachea are modeled using TVAR with a Fourier basis set. It is hypothesized that TVAR coefficients will give us(More)
The main goal of hypothesis-based functional neuroimaging is to arrive at a group decision for a set of data measured in different sessions. Hierarchical general linear model (GLM) is commonly used for this type of multilevel statistical inference problems. This study proposes a method that employs Bayesian networks for analyzing hierarchical GLM. A major(More)
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