Contrôle qualité en Imagerie par Résonance Magnétique (IRM)

CERVOXYNational audienc

Contrôle qualité en Imagerie par Résonance Magnétique (IRM)

CERVOXYNational audienc

Impact d’un algorithme de machine learning de resampling sur les radiomiques en IRM

CERVOXYNational audienc

Impact d’un algorithme de machine learning de resampling sur les radiomiques en IRM

CERVOXYNational audienc

Electroencephalographic characteristics of word finding during phonological and semantic verbal fluency tasks

Abstract Aims Verbal Fluency is sensitive to brain damage and is employed to assess language abilities like the size of vocabulary and the semantic‐lexical networks’ integrity and executive functioning abilities particularly inhibition, working memory, and self‐monitoring. Various studies revealed oscillatory changes related to word retrieval during different tasks. However, there are not enough studies on electroencephalographic characteristics of word retrieval routes (phonological or semantic pathway) during free recall. The purpose of our study was to investigate electroencephalography power relationship with semantic and phonological word finding routes during verbal fluency. Methods In this within‐subject study, the electroencephalography of 20 healthy participants was recorded during written category and letter fluency tasks and compared with the rest state. Absolute power of the signals in delta (1‐3.5 Hz), theta (4‐7.5 Hz), alpha (8‐12 Hz), and beta (12.5‐30 Hz) was calculated in three lobes (frontal, parietal, and temporal). Results A repeated measures ANOVA showed significant interaction of condition × lobe × frequency × side (P < .001). Post hoc test for each lobe showed significant changes in the absolute power of delta, theta and beta for frontal, delta and theta for parietal, and theta and beta for temporal lobes (P‐values < .05). Conclusion Searching the words by phonological entries is associated with decreased beta and increased theta in left frontal lobe. These changes are not necessary for semantic word retrieval strategy

BIGFOOT SYSTEMS(R)

Peer reviewed: NoNRC publication: Ye

Evaluation de l’impact sur la prise en charge en radiologie et en radiothérapie d’un algorithme d’intelligence artificielle sur des images IRM

National audienc

Verbal knowledge as a compensation determinant of adult age differences in verbal fluency tasks over time

The aim of this study was to determine whether verbal knowledge can compensate for the age-related decline in word production during a fluency test. We assessed the performance of 20 young and 20 old subjects in standard letter and semantic fluency tasks over time (T1: 0-30 s vs. T2: 31-60 s). The number of words produced, switching, and clustering components (Troyer et al. Neuropsychology, 11(1): 138-146, 1997) were investigated. Correlations between age and cognitive factors (processing speed, executive functions, and vocabulary level) were analyzed. The results revealed a knowledge compensation mechanism in elderly subjects, but only in letter fluency productions. It only occurred during the second period and was related to an increase in the clustering component and a positive correlation between age and vocabulary level. The differences between letter and semantic fluency performances are discussed in terms of the nature of the non-semantic and semantic components involved in these tasks. © 2010 Springer Science+Business Media, LLC

Evaluation de l’impact sur la prise en charge en radiologie et en radiothérapie d’un algorithme d’intelligence artificielle sur des images IRM

National audienc