scholarly journals Postural responses to specific types of long-term memory during visually induced roll self-motion

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261266
Author(s):  
Maëlle Tixier ◽  
Stéphane Rousset ◽  
Pierre-Alain Barraud ◽  
Corinne Cian
Keyword(s):  
Visual Motion ◽  
Memory Task ◽  
Cognitive Tasks ◽  
Long Term Memory ◽  
Uniform Motion ◽  
Term Memory ◽  
Postural Responses ◽  
Background Motion ◽  
Self Motion

A large body of research has shown that visually induced self-motion (vection) and cognitive processing may interfere with each other. The aim of this study was to assess the interactive effects of a visual motion inducing vection (uniform motion in roll) versus a visual motion without vection (non-uniform motion) and long-term memory processing using the characteristics of standing posture (quiet stance). As the level of interference may be related to the nature of the cognitive tasks used, we examined the effect of visual motion on a memory task which requires a spatial process (episodic recollection) versus a memory task which does not require this process (semantic comparisons). Results confirm data of the literature showing that compensatory postural response in the same direction as background motion. Repeatedly watching visual uniform motion or increasing the cognitive load with a memory task did not decrease postural deviations. Finally, participants were differentially controlling their balance according to the memory task but this difference was significant only in the vection condition and in the plane of background motion. Increased sway regularity (decreased entropy) combined with decreased postural stability (increase variance) during vection for the episodic task would indicate an ineffective postural control. The different interference of episodic and semantic memory on posture during visual motion is consistent with the involvement of spatial processes during episodic memory recollection. It can be suggested that spatial disorientation due to visual roll motion preferentially interferes with spatial cognitive tasks, as spatial tasks can draw on resources expended to control posture.

scholarly journals Neonatal Desflurane Exposure Induces More Robust Neuroapoptosis than Do Isoflurane and Sevoflurane and Impairs Working Memory

2011 ◽  
Vol 115 (5) ◽  
pp. 979-991 ◽  
Author(s):  
Mitsuyoshi Kodama ◽  
Yasushi Satoh ◽  
Yukiko Otsubo ◽  
Yoshiyuki Araki ◽  
Ryuji Yonamine ◽  
...  
Keyword(s):  
Working Memory ◽  
Open Field ◽  
Elevated Plus Maze ◽  
Memory Task ◽  
Adenosine Diphosphate ◽  
Long Term Memory ◽  
Neonatal Exposure ◽  
Term Memory ◽  
Plus Maze

Background In animal models, neonatal exposure to volatile anesthetics induces neuroapoptosis, leading to memory deficits in adulthood. However, effects of neonatal exposure to desflurane are largely unknown. Methods Six-day-old C57BL/6 mice were exposed to equivalent doses of desflurane, sevoflurane, or isoflurane for 3 or 6 h. Minimum alveolar concentration was determined by the tail-clamp method as a function of anesthesia duration. Apoptosis was evaluated by immunohistochemical staining for activated caspase-3, and by TUNEL. Western blot analysis for cleaved poly-(adenosine diphosphate-ribose) polymerase was performed to examine apoptosis comparatively. The open-field, elevated plus-maze, Y-maze, and fear conditioning tests were performed to evaluate general activity, anxiety-related behavior, working memory, and long-term memory, respectively. Results Minimum alveolar concentrations at 1 h were determined to be 11.5% for desflurane, 3.8% for sevoflurane, and 2.7% for isoflurane in 6-day-old mice. Neonatal exposure to desflurane (8%) induced neuroapoptosis with an anatomic pattern similar to that of sevoflurane or isoflurane; however, desflurane induced significantly greater levels of neuroapoptosis than almost equivalent doses of sevoflurane (3%) or isoflurane (2%). In adulthood, mice treated with these anesthetics had impaired long-term memory, whereas no significant anomalies were detected in the open-field and the elevated plus-maze tests. Although performance in a working memory task was normal in mice exposed neonatally to sevoflurane or isoflurane, mice exposed to desflurane had significantly impaired working memory. Conclusions In an animal model, neonatal desflurane exposure induced more neuroapoptosis than did sevoflurane or isoflurane and impaired working memory, suggesting that desflurane is more neurotoxic than sevoflurane or isoflurane.

What does the brain do while playing scrabble?: ERPs associated with a short–long-term memory task

1999 ◽  
Vol 31 (3) ◽  
pp. 261-274 ◽  
Author(s):  
Selene Cansino ◽  
Alejandra Ruiz ◽  
Verónica López-Alonso
Keyword(s):  
Memory Task ◽  
Long Term Memory ◽  
Term Memory ◽  
The Brain

scholarly journals Is Long-Term Memory Used in a Visuo-Spatial Change-Detection Paradigm?

2021 ◽  
Author(s):  
Benjamin Goecke ◽  
Klaus Oberauer
Keyword(s):  
Working Memory ◽  
Change Detection ◽  
Memory Performance ◽  
Memory Task ◽  
Repetition Effect ◽  
Long Term Memory ◽  
Memory Representation ◽  
Term Memory ◽  
Hebb Repetition Effect

In tests of working memory with verbal or spatial materials repeating the same memory sets across trials leads to improved memory performance. This well-established “Hebb repetition effect” could not be shown for visual materials. This absence of the Hebb effect can be explained in two ways: Either persons fail to acquire a long-term memory representation of the repeated memory sets, or they acquire such long-term memory representations, but fail to use them during the working memory task. In two experiments, (N1 = 18 and N2 = 30), we aimed to decide between these two possibilities by manipulating the long-term memory knowledge of some of the memory sets used in a change-detection task. Before the change-detection test, participants learned three arrays of colors to criterion. The subsequent change-detection test contained both previously learned and new color arrays. Change detection performance was better on previously learned compared to new arrays, showing that long-term memory is used in change detection.

scholarly journals Interacting Memory Systems—Does EEG Alpha Activity Respond to Semantic Long-Term Memory Access in a Working Memory Task?

Biology ◽  
2014 ◽  
Vol 4 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Barbara Berger ◽  
Serif Omer ◽  
Tamas Minarik ◽  
Annette Sterr ◽  
Paul Sauseng
Keyword(s):  
Working Memory ◽  
Memory Task ◽  
Memory Systems ◽  
Alpha Activity ◽  
Memory Access ◽  
Long Term Memory ◽  
Term Memory ◽  
Eeg Alpha ◽  
Eeg Alpha Activity

scholarly journals Neural substrates of successful working memory and long-term memory formation in a relational spatial memory task

2016 ◽  
Vol 17 (4) ◽  
pp. 377-387 ◽  
Author(s):  
Heiko C. Bergmann ◽  
Sander M. Daselaar ◽  
Guillén Fernández ◽  
Roy P. C. Kessels
Keyword(s):  
Working Memory ◽  
Spatial Memory ◽  
Memory Task ◽  
Neural Substrates ◽  
Memory Formation ◽  
Long Term Memory ◽  
Term Memory ◽  
Spatial Memory Task

Diazepam decreases performance in a long-term memory task using visual shapes

Neuroreport ◽  
1996 ◽  
Vol 7 (12) ◽  
pp. 1899-1904 ◽  
Author(s):  
Annemie Rosier ◽  
Rufin Vogels ◽  
Guy A. Orban
Keyword(s):  
Memory Task ◽  
Long Term Memory ◽  
Term Memory

scholarly journals Is long-term memory used in a visuo-spatial change-detection paradigm?

2021 ◽  
Author(s):  
Benjamin Goecke ◽  
Klaus Oberauer
Keyword(s):  
Working Memory ◽  
Change Detection ◽  
Memory Performance ◽  
Memory Task ◽  
Repetition Effect ◽  
Long Term Memory ◽  
Memory Representation ◽  
Term Memory ◽  
Hebb Repetition Effect

AbstractIn tests of working memory with verbal or spatial materials, repeating the same memory sets across trials leads to improved memory performance. This well-established “Hebb repetition effect” could not be shown for visual materials in previous research. The absence of the Hebb effect can be explained in two ways: Either persons fail to acquire a long-term memory representation of the repeated memory sets, or they acquire such long-term memory representations, but fail to use them during the working memory task. In two experiments (N1 = 18 and N2 = 30), we aimed to decide between these two possibilities by manipulating the long-term memory knowledge of some of the memory sets used in a change-detection task. Before the change-detection test, participants learned three arrays of colors to criterion. The subsequent change-detection test contained both previously learned and new color arrays. Change detection performance was better on previously learned compared with new arrays, showing that long-term memory is used in change detection.

scholarly journals Memory performance following napping in habitual and non-habitual nappers

SLEEP ◽  
2020 ◽  
Author(s):  
Ruth L F Leong ◽  
Nicole Yu ◽  
Ju Lynn Ong ◽  
Alyssa S C Ng ◽  
S Azrin Jamaluddin ◽  
...  
Keyword(s):  
Memory Performance ◽  
Memory Task ◽  
Long Term Memory ◽  
Factual Knowledge ◽  
Short Term ◽  
Term Memory ◽  
Main Effects ◽  
Clinical Trial Information ◽  
Knowledge Learning

Abstract Study Objectives Afternoon naps benefit memory but this may depend on whether one is a habitual napper (HN; ≥1 nap/week) or non-habitual napper (NN). Here, we investigated whether a nap would benefit HN and NN differently, as well as whether HN would be more adversely affected by nap restriction compared to NN. Methods Forty-six participants in the nap condition (HN-nap: n = 25, NN-nap: n = 21) took a 90-min nap (14:00–15:30 pm) on experimental days while 46 participants in the Wake condition (HN-wake: n = 24, NN-wake: n = 22) remained awake in the afternoon. Memory tasks were administered after the nap to assess short-term topographical memory and long-term memory in the form of picture encoding and factual knowledge learning respectively. Results An afternoon nap boosted picture encoding and factual knowledge learning irrespective of whether one habitually napped (main effects of condition (nap/wake): ps < 0.037). However, we found a significant interaction for the hippocampal-dependent topographical memory task (p = 0.039) wherein a nap, relative to wake, benefitted habitual nappers (HN-nap vs HN-wake: p = 0.003) compared to non-habitual nappers (NN-nap vs. NN-wake: p = 0.918). Notably for this task, habitual nappers’ performance significantly declined if they were not allowed to nap (HN-wake vs NN-wake: p = 0.037). Conclusions Contrary to concerns that napping may be disadvantageous for non-habitual nappers, we found that an afternoon nap was beneficial for long-term memory tasks even if one did not habitually nap. Naps were especially beneficial for habitual nappers performing a short-term topographical memory task, as it restored the decline that would otherwise have been incurred without a nap. Clinical Trial Information NCT04044885.

scholarly journals Working memory is not fixed capacity: More active storage capacity for real-world objects than simple stimuli

2020 ◽  
Author(s):  
Timothy F. Brady ◽  
Viola S. Störmer ◽  
George Alvarez
Keyword(s):  
Working Memory ◽  
Real World ◽  
Visual Information ◽  
Memory Task ◽  
Memory Systems ◽  
Long Term Memory ◽  
Term Memory ◽  
Active Storage ◽  
Working Memory Models

Visual working memory is the cognitive system that holds visual information active to make it resistant to interference from new perceptual input. Information about simple stimuli – colors, orientations – is encoded into working memory rapidly: in under 100ms, working memory ‘fills up’, revealing a stark capacity limit. However, for real-world objects, the same behavioral limits do not hold: with increasing encoding time, people store more real-world objects and do so with more detail. This boost in performance for real-world objects is generally assumed to reflect the use of a separate episodic long-term memory system, rather than working memory. Here we show that this behavioral increase in capacity with real-world objects is not solely due to the use of separate episodic long-term memory systems. In particular, we show that this increase is a result of active storage in working memory, as shown by directly measuring neural activity during the delay period of a working memory task using EEG. These data challenge fixed capacity working memory models, and demonstrate that working memory and its capacity limitations are dependent upon our existing knowledge.

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