scholarly journals The impact of side effects on long-term retention in three new antiepileptic drugs

Seizure ◽  
2009 ◽  
Vol 18 (5) ◽  
pp. 327-331 ◽  
Author(s):  
Hans P. Bootsma ◽  
Lukas Ricker ◽  
Yechiel A. Hekster ◽  
Jacques Hulsman ◽  
Danielle Lambrechts ◽  
...  
Seizure ◽  
2018 ◽  
Vol 61 ◽  
pp. 78-82 ◽  
Author(s):  
Manuel Toledo ◽  
Elena Fonseca ◽  
Marta Olivé ◽  
Manuel Requena ◽  
Manuel Quintana ◽  
...  

2017 ◽  
Vol 60 (6S) ◽  
pp. 1712-1725 ◽  
Author(s):  
Mara Steinberg Lowe ◽  
Adam Buchwald

Purpose This study investigated whether whole nonword accuracy, phoneme accuracy, and acoustic duration measures were influenced by the amount of feedback speakers without impairment received during a novel speech motor learning task. Method Thirty-two native English speakers completed a nonword production task across 3 time points: practice, short-term retention, and long-term retention. During practice, participants received knowledge of results feedback according to a randomly assigned schedule (100%, 50%, 20%, or 0%). Changes in nonword accuracy, phoneme accuracy, nonword duration, and initial-cluster duration were compared among feedback groups, sessions, and stimulus properties. Results All participants improved phoneme and whole nonword accuracy at short-term and long-term retention time points. Participants also refined productions of nonwords, as indicated by a decrease in nonword duration across sessions. The 50% group exhibited the largest reduction in duration between practice and long-term retention for nonwords with native and nonnative clusters. Conclusions All speakers, regardless of feedback schedule, learned new speech motor behaviors quickly with a high degree of accuracy and refined their speech motor skills for perceptually accurate productions. Acoustic measurements may capture more subtle, subperceptual changes that may occur during speech motor learning. Supplemental Materials https://doi.org/10.23641/asha.5116324


2018 ◽  
Vol 50 (1) ◽  
pp. 165-173 ◽  
Author(s):  
Maria-Manuel Azevedo ◽  
Sofia Costa-de-Oliveira ◽  
Rita Teixeira-Santos ◽  
Ana P. Silva ◽  
Isabel M. Miranda ◽  
...  

2017 ◽  
Vol 138 ◽  
pp. 53-61 ◽  
Author(s):  
Manuel Toledo ◽  
Rebecca Beale ◽  
Jennifer S. Evans ◽  
Sara Steeves ◽  
Sami Elmoufti ◽  
...  

2021 ◽  
Author(s):  
Gordon B Feld ◽  
Matthieu Bernard ◽  
Annalise Rawson ◽  
Hugo J Spiers

Much of our long-term knowledge is organised in complex networks. Sleep is thought to be critical for abstracting knowledge and enhancing important item memory for long-term retention. Thus, sleep should aid the development of memory for networks and the abstraction of their structure for efficient storage. However, this remains unknown because past sleep studies have focused on discrete items. Here we explored the impact of sleep (night-sleep/day-wake within-subject paradigm) on memory for graph-networks where some items were important due to dense local connections (degree centrality) or, independently, important due to greater global connections (closeness / betweenness centrality). A network of 27 planets (nodes) sparsely interconnected by 36 teleporters (edges) was learned via discrete associations without explicit indication of any network structure. Despite equivalent exposure to all connections in the network, we found that memory for the links between items with high local centrality or high global centrality were better retained after sleep. These results highlight that sleep has the capacity for strengthening both global and local structure from the world and abstracting over multiple experiences to efficiently form internal networks of knowledge.


Sign in / Sign up

Export Citation Format

Share Document