Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04702152 |
Other study ID # |
STU00213443-A |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
September 15, 2020 |
Est. completion date |
November 30, 2021 |
Study information
Verified date |
January 2022 |
Source |
Northwestern University |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The context in which memories are encoded is a major factor influencing how memories are
organized. Individual memories are bound to the context (e.g., the location, time and state
of mind in which they are encoded) and this context is later reinstated to recall the details
related to the memory. Although the role of context has been explored with regard to memory
encoding and retrieval, its role during sleep-related memory consolidation has not been
explored. Memories are thought to be reactivated during sleep, subsequently benefitting from
the process. This study will use encephalography (EEG) in humans to consider several
competing hypotheses regarding context's role in sleep reactivation, thereby enhancing the
current understanding of how reactivation of memory over sleep relates to models of context
and memory. Participants will learn to associate pictures of scenes to different sounds and
to smaller images of items and animals, and then learn the spatial locations of these smaller
images on a grid. Crucially, for half of these scenes, the sounds themselves will then also
be linked directly to some of images during training. The associated sounds will then be
unobtrusively presented during sleep, in a manner that has been shown to improve associated
memories. The subsequent memory benefits will reveal whether (1) all images associated with
the cued scene will benefit from cuing, demonstrating a context-reactivation effect; (2) only
the images directly associated with presented sound will benefit from the cuing,
demonstrating a item-reactivation effect; or (3) some composite of these two models.
Regardless of which hypothesis is correct, the results will expand our current understanding
regarding the role context plays in sleep consolidation.
Description:
Each participant will be run in a single afternoon, which includes a 90-minute nap
opportunity. Before the nap, participants will go through training and test sessions - and
after it they will partake of final memory tests. Neural activity will be continuously
monitored and recorded throughout the task using electrophysiological equipment.
This is a within-subjects study. The main manipulation is the unobtrusive presentation of
sounds during sleep, a technique called targeted memory reactivation (TMR). All participants
will hear these sounds, but the specific sounds each one will hear will be different. The
results will then be compared within participant, not between different groups or
individuals. Appropriate statistical methods for such analyses include paired t-test and
repeated measures analysis of variance. The choice of which sounds will be presented to each
participant will be made based on their performance in the pre-sleep test. This will be done
in an attempt to balance pre-sleep scores between presented and unpresented stimuli to remove
statistical noise. Both the participant and the experimenter will be blind to which sounds
will be presented, and the selection will be automatically made by the computer. This
technique has been extensively used and has no known risks.
There are two main reasons that using a within-subject design reduces the required sample
size. First, the lack of a between-subject independent variable intuitively requires less
participants. Second, the level of statistical noise due to individual differences is reduced
(i.e., because each participant is compared with their own scores). Previous TMR studies,
which have found significant cuing effects, commonly used 20-25 participants. I plan to
include at least 30 participants in this study, after omitting participants who could not
complete the task and those who were not sufficiently cued during sleep. Having 30
participants will allow the use of more powerful statistical methods (in accordance with the
common rule of thumb derived from the central limit theorem, which states that means based on
sample sizes of more than 30 participants can be assumed to follow a normal distribution). I
expect the context-related TMR effect (see summary) to be smaller in magnitude relative to
the common effect size observed in spatial learning TMR studies (Hedge's g = 0.39 based on a
recent meta-analysis). This is why I included a higher sample size. It is important to note
that even if this benefit will be of a smaller magnitude, as I expect, it will still be
indicative of the underlying neurocognitive process and therefore extremely valuable for our
mechanistic understanding of the role of context in sleep. Aiming at a sample size of at
least 30 participants and assuming an omission rate of 80%, I therefore plan to have 38
participants altogether.
Here is a brief summary of the procedure:
Stimuli: 16 images of spatial scenes (e.g., a beach) will each be arbitrarily associated with
a sound and with four smaller images of objects or animals. Half of the scenes will be
randomly designated to the context-reactivation (CR) condition and half to the
item-reactivation (IR) condition (see below). The 64 images will each have a unique 2D
position on a circular grid presented on the screen.
Training: Participants will first learn to associate each scene with the paired sound up to
criterion. Next, they will learn to associate the scene with its four images up to criterion.
The last part of training will include two type of learning blocks that will be interspersed.
During the spatial-training blocks, in each trial participants will have to place a single
image in its correct location. They will then receive feedback to improve. The scene
associated with the image will be presented while they learn, but crucially the sound will
never be presented for the CR condition scenes. For the IR scenes, the sound will be
presented while learning two of the items, but never for the other two.
An alternative design might have divorced the cued items in the CR condition from the scenes
altogether; the items could have been associated with novel sounds (i.e., that were not
connected to the scene) and not presented along with their scene. However, using such a
design would have introduced a confounding factor. The novel sound may have still been
associated, to an unknown degree, not only to the item but also to the context to which it
belongs. The degree to which this novel sound would be associated with the context would
therefore remain uncontrolled and may vary between participants and scenes. Sounds used for
item in the IR condition are always additionally associated with the scene. By always having
the sounds be associated both with context and - in the IR condition - additionally to items,
I substantially reduce any interpretation issues.
During the Sound-scenes blocks, which do not include a spatial component or the smaller
images at all, the scenes will be presented with the sounds only for the CR condition scenes
(i.e., to balance the number of sound presentations between conditions). These blocks will
repeat in an interleaved manner until each participant will reach the pre-set learning
criterion on the spatial-task.
Pre-sleep test: After training, participants will be tested on their spatial-memory for all
items without exposure to sounds or scenes.
Sleep: During NREM (non-rapid eye movement) sleep, the sounds associated with half of the CR
condition scenes and half of the IR condition scenes will be presented unobtrusively. The
choice of which sounds to present will be made in a manner that will balance pre-sleep
results and therefore enhance the contrast between sleep-related effects for cued and
non-cued images.
Post-sleep test: At least 10 minutes after the end of the nap, participants will undergo a
test identical to the pre-sleep one. Immediately after, they will be tested on the scene-item
and scene-sound associations using both a free-recall and a recognition test. Participants
will then be thanked, debriefed, paid and dismissed.