universita degli studi magna graecia di catanzaro

This study improves the knowledge on memory impairment in ET, as our results demonstrate for the first time the hippocampal microstructural damage related to subclinical memory impairment in ET patients. A significant correlation was also found between MD and memory scores in ET. Despite the subclinical damage, however, ET patients showed a significant increase in MD values in the bilateral hippocampi in comparison with HC. ResultsĬompared to controls, ET patients showed a subclinical memory impairment with significantly lower memory scores, but within the normal ranges. In order to evaluate the relationship between MRI alterations and neurocognitive impairment, hippocampal parameters were also correlated with cognitive test scores. MRI parameters (volume mean diffusivity fractional anisotropy ) of bilateral hippocampi were obtained. Whole-brain T1-weighted and Diffusion Tensor Imaging (DTI) were performed to assess macro-and microstructural alterations. Neuropsychological and MRI data were acquired from 110 participants (60 patients with ET and 50 age-, sex-, and education-matched healthy controls ). This study investigated the macro and micro-structural integrity of the hippocampus in ET subjects using a multimodal MRI approach. However, no studies have evaluated whether hippocampal damage really occur in ET.

There is growing evidence that a proportion of patients with Essential Tremor (ET) may develop a memory impairment over time. Our results have a high impact to improve healthy control recruitment and appropriately decreasing the risk of signal distortion, according to the age of enrolled subjects. To our knowledge and at the present, this represents the first study investigating the accurate characterization of motion parameters in aging.

The proposed method shows that normal aging produces significant increase in head motion parameters, highlighting the critical effect of motion on resting data analyses in particular considering psi, y and z movements. These results were also confirmed by multivariate analysis with Support-Vector-Machine that presented an AUC of 90 %. Statistical analyses showed significant association between the aging and some motion’s parameters(rotation psi translations y and z). We performed:1)univariate analysis for comparing the groups and correlation to investigate the relationship between age and movement parameters 2)Support-Vector-Machine, using bootstrap and calculating the feature importance.

Along three axes( X,Y,Z), we extracted six motions parameters which reflected the head’s movements to characterize translations(x,y,z) and rotations(angles phi,theta,psi). We enrolled 14-young(9females mean-age = 28 ± 4.07) and 14-elderly(9females mean-age = 66 ± 5.19) subjects. New Methodįor the first time, we proposed a method for evaluating the most sensitive head motion parameters linked to subjects’aging. The aim of our study was to provide new knowledge about the effect of normal aging on the head motion signals. However, the robustness of Resting-state-fMRI analysis is negatively affected by physiological noise caused by subject head motion. Resting-state-fMRI is a technique used to explore the functional brain architecture in term of brain networks and their interactions.

Universita degli studi magna graecia di catanzaro