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Oscillatory Contributions to Working Memory and Attention

Oscillatory Contributions to Working Memory and Attention

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03787134
Enrollment
184
Registered
2018-12-26
Start date
2019-03-01
Completion date
2023-04-21
Last updated
2024-10-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Young Adults

Brief summary

The objectives are articulated in the proposal's specific aims: Aim 1: To test the hypothesis that the cognitive control of unattended memory items (UMI) is implemented by the same frontoparietal mechanisms that control spatial and nonspatial attention. Aim 2: To test the hypothesis that the selection of visual stimuli, whether from the environment or from WM, is accomplished, in part, by the hijacking of low-frequency oscillatory dynamics that are fundamental to the waking-state physiology of the corticothalamic circuitry of the visual system. Aim 3: To test the hypothesis that the function of context binding contributes to delay-period activity of the posterior parietal cortex (PPC).

Detailed description

4.2.a Narrative Study Description There are 11 distinct experiments proposed, and each is described in turn. Experiment 1.a.: Unconfounding cognitive state from the passage of time for UMI reactivation This experiment entails recording the EEG, and delivering spTMS, while healthy young adult subjects perform two types of WM trials: dual serial retrocuing (DSR) trials and single-retrocue trials. DSR trials begin with the presentation of two items (drawn from categories face, motion, word), followed by an initial Delay 1.1, then Cue 1 indicating which of the two will be probed by the first memory probe. After Probe 1, Cue 2 indicates which item will be tested by Probe 2. Both trial types will feature 3 types of probe: match (50% of trials); nonmatch/same-category (drawn from same category as retrocued sample, 30% of trials); and nonmatch/lure (probe is the uncued item, 20% of trials. spTMS will also be delivered, unpredictably on half of the delay periods, to IPS2. Prospective power analysis, using the results from PMC 5221753 (and taking into account that Exp. 1.a., unlike PMC 5221753, will use a repeated measures design), indicates that 360 trials per subject, and 12 subjects, are required to achieve 80% power for the critical behavioral comparison, which is the comparative influence of spTMS on the FAR to nonmatch/lure probes for dual serial- vs. single-retrocue trials, assessed with the contrast \[(FAR nonmatch/lure, dual - FARnonmatch/same-category, dual) - (FAR nonmatch/lure, single - FARnonmatch/same-category, single)\]. (To balance the number of match and nonmatch probes, there will be a total of 720 trials per subject.) Each subject will participate in two 2.5-hr experimental sessions. (Allowing for 15% attrition inflates the target n from 12 to 14.) Exp. 2.a. spTMS/EEG of the frontoparietal salience map. Study PMC 4893488 used n of 17 to achieve reliable single-trial regression results, which are least-powered analyses planned with this dataset; 18 subjects will allow for same number of subjects per targeted hemisphere. From the perspective of counterbalancing order of region targeted with spTMS, 12 subjects would be needed (2 hemispheres \* 6 possible orders); once the 12 counterbalancing cells have been filled, the remaining 6 subjects will be selected two-at-a-time, and assigned the same randomly selected order-of-region, one to each hemisphere). (Allowing for 15% attrition inflates the target n from 18 to 21.) Exp. 2.b. 1 Hz rTMS of the frontoparietal salience map. Study PMC 5725229 recruited 27 subjects, based on its own power analysis based on the literature, to use a rTMS procedure comparable to what Exp. 2.b. will use to disrupt the function of PFC, one of the regions that will be targeted in this study. Because several previous studies using TMS to study attentional selection have found evidence of hemispheric asymmetries in the control of spatial attention, 27 subjects per hemisphere to be targeted will be recruited, yielding a total of 54. (Allowing for 15% attrition inflates the target n from 54 to 62.) Exp. 2.c.1 Hz rTMS of FEF and IFJ. Considerations are identical to those for Exp. 2.b. Experiment 3.a. Studying alpha-band dynamics of spatial and temporal attention with EEG. Study PMC 4500270 found reliable effects of temporal prediction-related frequency-shifting in the alpha band with 15 subjects. Sixteen (16) subjects will be recruited in order to achieve equal counterbalancing. (Allowing for 15% attrition inflates the target n from 16 to 18.) Exp. 4.a. Strategic control of alpha-band dynamics for perceptually unchallenging visual selection. Considerations are identical to those for Exp. 3.a. Exp. 4.b. Strategic control of alpha-band dynamics for selection in visual WM. Considerations are identical to those for Exp. 3.a. Experiment 5 (addressing Aim 3). Testing WM storage vs. context binding accounts of the CDA Power analyses, carried out with resampling of simulated data derived from the preliminary results of this study, indicate that 36 subjects are needed for 90% power to detect a load effect (i.e., CDA for 3C trials \> CDA for 1C trials). (Allowing for 15% attrition inflates the target n from 36 to 41.) Experiment 6 (addressing Aim 3). Varying the domain of context. Considerations are identical to those for Exp. 5.

Interventions

Behavioral tests of working memory and attention

Sponsors

National Institute of Mental Health (NIMH)
CollaboratorNIH
University of Wisconsin, Madison
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 35 Years
Healthy volunteers
Yes

Inclusion criteria

* Age of # 18 \<36. - Right-handed. * Be in good health determined by the investigator on basis of medical history, physical and neurological exam; for EEG-only sessions no physical or neurological exams will be performed; * Female subjects must be two years past menopause, surgically sterile or practicing a medically acceptable method of birth control (does not apply to EEG-only sessions); * Female subjects must not be pregnant. * Able to understand and speak English. * Able to provide written consent prior to admission

Exclusion criteria

* History of epilepsy, stroke, brain surgery, cranial metal implants, structural brain lesion, devices that may be affected by TMS or tCS(pacemaker, medication pump, cochlear implant, implanted brain stimulator); - Women who are breast-feeding (self report)\*; * History of head trauma with loss of consciousness for greater than 5 minutes; * Any history of seizures; * Any family history of seizures\*; * Diabetes requiring insulin treatment\*; * A serious heart disorder or subjects who have had a heart attack within the last 3 months; * Subjects who meet DSM-IV criteria for alcohol /drug abuse problems within the last six months; * Any current Axis I or II diagnoses or past Axis I diagnoses; * Required use of medication that affects CNS function; * A subject with metallic implants, such as prostheses, shrapnel or aneurysm clip-S, or persons with electronic implants, such as cardiac pacemakers. The magnetic field generated by the MR machine can cause a displacement or malfunctioning of these devices\*; * The female subject who is pregnant or planning to become pregnant; or a female subject of child-bearing potential who is not practicing a medically acceptable form of birth control\*; * The subject has had a diagnosis of cancer in the past 3 years and/or has active neoplastic disease; * The investigator anticipates that the subject will be unable to comply with the protocol. * Prohibited Concomitant Treatment: Any investigational medication; antipsychotic, antidepressant; or ECT; Other psychotropic medications including sedative hypnotics (excluding chloral hydrate zaleplon); sumatriptan (and similar agents); anxiolytics and herbals (e.g., St. John's Wort, Kava Kava); an introduction or change in intensity of psychotherapy; any nonpsychopharmacologic drug with psychotropic effects (e.g., antihistamines, beta blockers). * Colorblindness * Poor or Uncorrected Vision * History of fainting/syncope

Design outcomes

Primary

MeasureTime frameDescription
Behavioral Accuracy: Sub-study 13 hoursMean percentage of correct recognition responses - indicates the percentage of trials, on average, participants correctly identified a test stimulus as a match or non-match to an item in working memory. The primary task completed by this group was a dual-serial recognition (DSR) task which involved two responses on each trial. The secondary (control) task was a single recognition (SR) task which involved one response on each trial. The two tasks were interleaved, so all participants completed them in succession throughout the measured time frame.
Behavioral Accuracy: Sub-study 23 hoursMean percentage of correct recognition responses - indicates the percentage of trials, on average, participants correctly identified a test stimulus as a match or non-match to an item in working memory. The primary task completed by this group of participants was a two-back recognition task, in which participants indicated whether the current stimulus was a match or non-match to the stimulus shown two items ago (completed during the first half of the measured time frame); the second task was a delayed recognition task in which participants indicated whether the current stimulus was a match or non-match to a stimulus shown 1750 ms prior (completed during the second half of the measured time frame).
Behavioral Accuracy: Sub-study 33 hoursMean percentage of correct recognition responses - indicates the percentage of trials, on average, participants correctly identified a test stimulus as a match or non-match to an item in working memory. The primary task results were based on validly cued trials in which the cue indicated the to-be-tested location, whereas the second task results were based on the invalidly cued trials in which the cue indicated a location that was not the to-be-tested location. These task conditions were intermixed throughout the measured time frame.
Behavioral Accuracy: Sub-study 53 hoursMean percentage of correct recognition responses - indicates the percentage of trials, on average, participants correctly identified a test stimulus as a match or non-match to an item in working memory. The primary task results were based on the accuracy of discrimination on 'congruent' trials in which the working memory item and the perceptual discrimination stimulus were identical in orientation; the secondary task results were based on the accuracy of discrimination on 'incongruent' trials. The two task types were intermixed throughout the measured time frame.
Behavioral Accuracy: Sub-study 74 hoursMean error (in degrees). On each trial, participants must memorize three object orientations (e.g. 10, 40, and 75 degrees) that are shown at different locations in succession on a computer screen. Several seconds later, the participant is given a cue/indicator about which of the orientations they will need to recall (i.e., reproduce) during the trial's test phase. After another brief delay, a line is shown on the screen and the participant must rotate it with the mouse to match the orientation in memory. This occurred in two task conditions: the 'overlap' condition in which two memory items were shown at the same location on the screen; and the 'non-overlap' condition, in which all items were presented at different locations on the screen. The 'overlap' task was carried out in the first half of the measured time frame; the 'non-overlap' task was carried out in the second half. Large errors (big differences between the reported and displayed orientation) indicate worse memory accuracy.
Reaction Time: Sub-study 13 hoursThe time, measured in milliseconds, that it took a subject to lock in their response via keyboard button press on each trial. The primary task completed by this group was a dual-serial recognition (DSR) task which involved two responses on each trial. The secondary (control) task was a single recognition (SR) task which involved one response on each trial. The two tasks were interleaved, so all participants completed them in succession throughout the measured time frame.
Reaction Time: Sub-study 23 hoursThe average time, measured in milliseconds, that it took a subject to lock in their response via mouse button click on each trial. The primary task completed by this group of participants was a two-back recognition task, in which participants indicated whether the current stimulus was a match or non-match to the stimulus shown two items ago (completed during the first half of the measured time frame); the second task was a delayed recognition task in which participants indicated whether the current stimulus was a match or non-match to a stimulus shown 1750 ms prior (completed during the second half of the measured time frame).
Reaction Time: Sub-study 33 hoursThe average time, measured in milliseconds, that it took a subject to lock in their response via keyboard button press on each trial. The primary task results were based on validly cued trials in which the cue indicated the to-be-tested location, whereas the second task results were based on the invalidly cued trials in which the cue indicated a location that was not the to-be-tested location. These task conditions were intermixed throughout the measured time frame.
Reaction Time: Sub-study 53 hoursThe average time, measured in milliseconds, that it took a subject to lock in their response via keyboard button press on each trial. The primary task results were based on the accuracy of discrimination on 'congruent' trials in which the working memory item and the perceptual discrimination stimulus were identical in orientation; the secondary task results were based on the accuracy of discrimination on 'incongruent' trials. The two task types were intermixed throughout the measured time frame.
Reaction Time: Sub-study 63 hoursThe average time, measured in milliseconds, that it took a subject to lock in their response via keyboard button press on each trial. The primary task was a 'set size 2' task in which participants had to maintain two items in working memory; the secondary task was a 'set size 1' task in which participants maintained one item in working memory. These tasks were intermixed throughout the measured time frame.
Multivariate Pattern Classification of EEG Data: Sub-study 13 hoursMultivariate pattern classification is a machine learning method that assesses the neural representation of stimulus information in electroencephalographic (EEG) signal (i.e., to decode the signal). The outcome measure is decoding performance. When a decoder performs well (here, greater than 0.5), the EEG signal contains information consistent with the representation of the stimulus at that point in the trial; when it performs poorly (here, less than or equal to 0.5), there is no evidence for stimulus representation at that time. Reported here is average classifier accuracy (expressed as area under the curve) in decoding a memory item's representation during the memory period for the different task conditions: when the item was cued or uncued and when transcranial magnetic stimulation (TMS) was delivered or not. The data used come from the full measured time frame.
Multivariate Inverted Encoding Modeling (IEM) Reconstruction: Sub-study 24 hoursEach EEG electrode's signal was construed as a weighted sum of responses from six channels tuned to specific stimulus orientations in the study. Data from the delayed recognition task were regressed onto this basis set to obtain a weight matrix characterizing the contribution of each channel to each electrode's response. The weight matrix was then inverted to derive the reconstructed representation of stimulus orientation during the delay period of the primary 2-back task data. Reported is the group-level slope (in arbitrary units) of the reconstruction of the cued and uncued memory items during the delay period, serving as a memory strength index/score ranging from -1:+1. Larger slope magnitudes indicate stronger memory representations. Negative values imply that the memory representation was a modified ('flipped') version of the representation held when the stimulus was first presented; positive values indicate direct resemblance to when the stimulus was first presented.
Transcranial Magnetic Stimulation (TMS) Effects on EEG Data Component Strengths: Sub-study 13 hoursThe spatially distributed phase coupling extraction (SPACE) decomposition method was used to identify discrete neural rhythms ('components') giving rise to the EEG signal. The strength of identified components at each time point (epoch) in the trial provides a measure of activity, ranging from 0 (absent/inactive) to a positive value (present/active). Strengths were used to address the question of whether single pulse TMS evokes new neural rhythms that weren't active before the pulse or modulates existing rhythms. If new rhythms are evoked, a greater percentage of trials with negligible (\ 0) strengths prior to TMS that increase after TMS compared to trials without TMS should be observed. Reported are the percentage of trials with this pattern for the posterior beta, posterior alpha, and posterior theta identified components for trials with and without TMS and TMS. Data from the full session were used.
Alpha Band Power as a Function of Location Relevance in Working Memory: Sub-study 34 hoursNeural activity is comprised of rhythmic activity and aperiodic activity. Alpha rhythmic activity plays important roles in supporting working memory performance and varies according to task demands. EEG data were decomposed into alpha periodic and aperiodic components in order to isolate the alpha frequency band power (8-14 Hz). Participants' task was to make judgments about memorized items shown above, below, left, and right of a central viewing point on the screen. To assess the effects of spatial memory cueing on decomposed alpha, electrodes that showed alpha modulation selective to the four memory locations were first identified. Then, the alpha power in those electrodes was compared as a function of whether the location was attended, unattended, or irrelevant on a particular trial. This was done for two epochs: during the memory delay (350 - 850 ms after sample) and target presentation (850 - 1350 ms after sample). Data from the full session was used for this analysis.
The Amplitude of Contralateral Delay Activity (CDA): Sub-study 44 hoursThe CDA is an event-related potential (ERP) derived from posterior electrodes that tracks the amount of information held in working memory, and may also be sensitive to context-binding demands. It becomes more negative with increasing memory load. The CDA was computed from the EEG by averaging the voltage across trials to generate signals that were contralateral or ipsilateral to the memory cue. The difference wave was computed by subtracting the ipsilateral signals from contralateral signals. The amplitude of the CDA is reported for two conditions: the large set size tracked participants' CDA when the memory set was homogenous - comprised of multiple items from the same stimulus category thus all were cued; the small set size analyses tracked participants' performance when the memory set was heterogenous - comprised of items from multiple stimulus categories, with only one category being cued for the target response. Data from the full session was used in this analysis.
The Amplitude of the Contralateral Delay Activity (CDA): Sub-study 64 hoursThe CDA is an event-related potential (ERP) derived from posterior electrodes that tracks the amount of information held in working memory, and may also be sensitive to context-binding demands. It becomes more negative with increasing memory load. The CDA was computed from the EEG by averaging the voltage across trials to generate signals that were contralateral or ipsilateral to the memory cue. The difference wave was computed by subtracting the ipsilateral signals from contralateral signals. The amplitude of the CDA is reported for two conditions: The large set size tracked participants' CDA when the memory set was comprised of two target features; the small set size analyses tracked participants' performance when the memory set was comprised of one target feature. Data from the full session was used in this analysis.
Experiment 2.a. The Amplitude of Multivariate Inverted Encoding Model-reconstructions of Stimulus Location, Derived From the Transcranial Magnetic Stimulation-evoked Response5 hoursMultivariate inverted encoding modeling will be used to reconstruct the representation of stimulus locations from the electroencephalography data, and the strength of the representation will be compared across three stimulus conditions. Note that this method entails analysis of the broadband electroencephalographic signal (bandpass filtered from 1-100Hz) in each of two formats: time domain, and spectrally transformed. The spectrally transformed analysis does not entail the separate analysis of discrete functionally defined frequency bands (e.g., alpha, beta, etc.). Rather, spectral power values at every integer frequency from 2 to 20 Hz and at every other integer frequency from 22 to 50 Hz, yielding 34 frequencies per channel, are used as features in the analysis.
Experiment 2.a. Spatially Distributed Phase Coupling Extraction-identified Components of the Transcranial Magnetic Stimulation-evoked Electroencephalography Signal5 hoursSpatially distributed phase coupling extraction-identified components of the transcranial magnetic stimulation-evoked electroencephalography signal will indicate whether the unattended memory item reactivation effect is carried by a de novo component in the electroencephalographic signal, or by a change in the power of one or more components that were present in the signal prior to the delivery of transcranial magnetic stimulation. Note that this method entails analysis of a spectral transformation of the broadband electroencephalographic signal that does not entail the separate analysis of discrete functionally defined frequency bands (e.g., alpha, beta, etc.) Rather, spectral power values at every integer frequency from 2 to 20 Hz and every other integer from frequency from 22 to 30 Hz - yielding 24 frequencies per channel - are entered into the analysis. No a priori assumptions are made about the frequency composition of components that the method will identify.
Experiment 2.a. Correlation of the Amplitude of Multivariate Inverted Encoding Model-reconstructions of the Location of the Unattended Memory Item With Alpha Band Power.5 hoursCorrelation of the amplitude of multivariate inverted encoding model-reconstructions of the location of the unattended memory item, derived from the transcranial magnetic stimulation-evoked response, with alpha band power when targeting occipital cortex.
Experiment 2.a. Correlation of the Amplitude of Multivariate Inverted Encoding Model-reconstructions of the Location of the Unattended Memory Item With Beta-band Power5 hoursCorrelation of the amplitude of multivariate inverted encoding model-reconstructions of the location of the unattended memory item, derived from the transcranial magnetic stimulation-evoked response, with beta-band power when targeting the intraparietal sulcus.
Experiment 3.a. Frequency in the Alpha Band of the EEG as a Function of Retinotopic Location4 hoursFrequency in the alpha band of the EEG as a function of retinotopic location
Experiment 3.a. Spatially Distributed Phase Coupling Extraction-identified Components of the Electroencephalography Signal From Signals Corresponding to the Attended Location4 hoursSpatially distributed phase coupling extraction-identified components of the electroencephalography signal from signals corresponding to the attended location to assess whether expectation-related shifts in alpha-band frequency are produced by a change in the frequency of one oscillator or by a change in the relative power of multiple oscillators.
Experiment 4.a. Reaction Time Assess as Latency to Press Response Button After Onset of Critical Stimulus.4 hoursReaction time assess as latency to press response button after onset of critical stimulus.
Experiment 4.a. Power in the Alpha Band of the EEG as a Function of Retinotopic Location4 hoursPower in the alpha band of the EEG as a function of retinotopic location
Experiment 4.a. Frequency in the Alpha Band of the EEG as a Function of Retinotopic Location4 hoursFrequency in the alpha band of the EEG as a function of retinotopic location
Experiment 4.a. Spatially Distributed Phase Coupling Extraction-identified Alpha-band Components of the Electroencephalography Signal From Signals Corresponding to the Attended Location4 hoursSpatially distributed phase coupling extraction-identified components of the electroencephalography signal from signals corresponding to the attended location to assess whether expectation-related shifts in alpha-band frequency are produced by a change in the frequency of one oscillator or by a change in the relative power of multiple oscillators.
Experiment 6. Multivariate Inverted Encoding Modeling of the EEG Signal to Determine Whether or Not Contextual Information is Carried in This Signal4 hoursMultivariate inverted encoding modeling of the EEG signal to determine whether or not contextual information is carried in this signal. Note that this method entails analysis of the broadband electroencephalographic signal (bandpass filtered from 1-100Hz) in each of two formats: time domain, and spectrally transformed. The spectrally transformed analysis does not entail the separate analysis of discrete functionally defined frequency bands (e.g., alpha, beta, etc.). Rather, spectral power values at every integer frequency from 2 to 20 Hz and at every other integer frequency from 22 to 50 Hz - yielding 34 frequencies per channel -- are used as features in the analysis.

Countries

United States

Participant flow

Participants by arm

ArmCount
Sub-study 1
Working memory task with categorical stimuli of faces, words, and dot motion, involving delayed recognition responses; EEG recorded and single-pulse TMS applied intermittently during delay periods. n = 12
12
Sub-study 2
2-back working memory task with EEG recorded involving 'match'/'non-match' responses; n = 30
30
Sub-study 3
Posner-style visual cueing task involving orientation judgments; n = 19
19
Sub-study 4
Visual working memory task with three categories of stimuli: orientations, luminances, colors, and involving 'match'/'non-match' responses with EEG recorded; n = 28
28
Sub-study 5
Dual task with delayed recall of orientation (working memory) and visual discrimination of orientation during the delay period (perception) with EEG recorded; n = 25
25
Sub-study 6
Visual working memory task with delayed recognition responses ('match'/'non-match') of object color or orientation with EEG recorded; n = 56
56
Sub-study 7
Delayed-recall of orientation working memory task with EEG recorded; n = 14
14
Total184

Baseline characteristics

CharacteristicTotalSub-study 2Sub-study 3Sub-study 4Sub-study 5Sub-study 1Sub-study 6Sub-study 7
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
184 Participants30 Participants19 Participants28 Participants25 Participants12 Participants56 Participants14 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
5 Participants2 Participants0 Participants2 Participants1 Participants0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
172 Participants28 Participants19 Participants25 Participants20 Participants12 Participants54 Participants14 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
7 Participants0 Participants0 Participants1 Participants4 Participants0 Participants2 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
115 Participants12 Participants7 Participants22 Participants5 Participants2 Participants53 Participants14 Participants
Race (NIH/OMB)
Black or African American
3 Participants3 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
More than one race
3 Participants3 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
9 Participants0 Participants0 Participants2 Participants4 Participants0 Participants3 Participants0 Participants
Race (NIH/OMB)
White
54 Participants12 Participants12 Participants4 Participants16 Participants10 Participants0 Participants0 Participants
Region of Enrollment
United States
184 participants30 participants19 participants28 participants25 participants12 participants56 participants14 participants
Sex: Female, Male
Female
109 Participants19 Participants11 Participants19 Participants12 Participants5 Participants32 Participants11 Participants
Sex: Female, Male
Male
61 Participants11 Participants8 Participants8 Participants13 Participants7 Participants11 Participants3 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
EG004
affected / at risk
EG005
affected / at risk
EG006
affected / at risk
deaths
Total, all-cause mortality
0 / 120 / 300 / 190 / 280 / 250 / 560 / 14
other
Total, other adverse events
0 / 120 / 300 / 190 / 280 / 250 / 560 / 14
serious
Total, serious adverse events
0 / 120 / 300 / 190 / 280 / 250 / 560 / 14

Outcome results

Primary

Alpha Band Power as a Function of Location Relevance in Working Memory: Sub-study 3

Neural activity is comprised of rhythmic activity and aperiodic activity. Alpha rhythmic activity plays important roles in supporting working memory performance and varies according to task demands. EEG data were decomposed into alpha periodic and aperiodic components in order to isolate the alpha frequency band power (8-14 Hz). Participants' task was to make judgments about memorized items shown above, below, left, and right of a central viewing point on the screen. To assess the effects of spatial memory cueing on decomposed alpha, electrodes that showed alpha modulation selective to the four memory locations were first identified. Then, the alpha power in those electrodes was compared as a function of whether the location was attended, unattended, or irrelevant on a particular trial. This was done for two epochs: during the memory delay (350 - 850 ms after sample) and target presentation (850 - 1350 ms after sample). Data from the full session was used for this analysis.

Time frame: 4 hours

Population: EEG recorded; Sub-study 3 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Alpha Band Power as a Function of Location Relevance in Working Memory: Sub-study 3attended location - memory delay6.16 microvolts squared / HzStandard Deviation 0.24
Sub-study 1Alpha Band Power as a Function of Location Relevance in Working Memory: Sub-study 3unattended location - memory delay6.19 microvolts squared / HzStandard Deviation 0.24
Sub-study 1Alpha Band Power as a Function of Location Relevance in Working Memory: Sub-study 3irrelevant location - memory delay6.2 microvolts squared / HzStandard Deviation 0.24
Sub-study 1Alpha Band Power as a Function of Location Relevance in Working Memory: Sub-study 3attended location - target presentation5.83 microvolts squared / HzStandard Deviation 0.19
Sub-study 1Alpha Band Power as a Function of Location Relevance in Working Memory: Sub-study 3unattended location - target presentation6.05 microvolts squared / HzStandard Deviation 0.2
Sub-study 1Alpha Band Power as a Function of Location Relevance in Working Memory: Sub-study 3irrelevant location - target presentation6.02 microvolts squared / HzStandard Deviation 0.2
Primary

Behavioral Accuracy: Sub-study 1

Mean percentage of correct recognition responses - indicates the percentage of trials, on average, participants correctly identified a test stimulus as a match or non-match to an item in working memory. The primary task completed by this group was a dual-serial recognition (DSR) task which involved two responses on each trial. The secondary (control) task was a single recognition (SR) task which involved one response on each trial. The two tasks were interleaved, so all participants completed them in succession throughout the measured time frame.

Time frame: 3 hours

Population: EEG recorded and single-pulse TMS applied intermittently during delay periods. Sub-study 1 participants only.

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Behavioral Accuracy: Sub-study 1DSR task86.3 percentage of correct responsesStandard Deviation 9.2
Sub-study 1Behavioral Accuracy: Sub-study 1SR task87.1 percentage of correct responsesStandard Deviation 10.3
Primary

Behavioral Accuracy: Sub-study 2

Mean percentage of correct recognition responses - indicates the percentage of trials, on average, participants correctly identified a test stimulus as a match or non-match to an item in working memory. The primary task completed by this group of participants was a two-back recognition task, in which participants indicated whether the current stimulus was a match or non-match to the stimulus shown two items ago (completed during the first half of the measured time frame); the second task was a delayed recognition task in which participants indicated whether the current stimulus was a match or non-match to a stimulus shown 1750 ms prior (completed during the second half of the measured time frame).

Time frame: 3 hours

Population: EEG recorded; sub-study 2 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Behavioral Accuracy: Sub-study 22-back task85.7 percentage of correct responsesStandard Deviation 6
Sub-study 1Behavioral Accuracy: Sub-study 2delayed recognition task78.5 percentage of correct responsesStandard Deviation 7
Primary

Behavioral Accuracy: Sub-study 3

Mean percentage of correct recognition responses - indicates the percentage of trials, on average, participants correctly identified a test stimulus as a match or non-match to an item in working memory. The primary task results were based on validly cued trials in which the cue indicated the to-be-tested location, whereas the second task results were based on the invalidly cued trials in which the cue indicated a location that was not the to-be-tested location. These task conditions were intermixed throughout the measured time frame.

Time frame: 3 hours

Population: EEG recorded; sub-study 3 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Behavioral Accuracy: Sub-study 3Valid cueing72 percentage of correct responsesStandard Deviation 10
Sub-study 1Behavioral Accuracy: Sub-study 3Invalid cueing67 percentage of correct responsesStandard Deviation 9
Primary

Behavioral Accuracy: Sub-study 5

Mean percentage of correct recognition responses - indicates the percentage of trials, on average, participants correctly identified a test stimulus as a match or non-match to an item in working memory. The primary task results were based on the accuracy of discrimination on 'congruent' trials in which the working memory item and the perceptual discrimination stimulus were identical in orientation; the secondary task results were based on the accuracy of discrimination on 'incongruent' trials. The two task types were intermixed throughout the measured time frame.

Time frame: 3 hours

Population: EEG recorded; sub-study 5 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Behavioral Accuracy: Sub-study 5Congruent trials86.5 percentage of correct responsesStandard Deviation 2.1
Sub-study 1Behavioral Accuracy: Sub-study 5Incongruent trials86 percentage of correct responsesStandard Deviation 2
Primary

Behavioral Accuracy: Sub-study 7

Mean error (in degrees). On each trial, participants must memorize three object orientations (e.g. 10, 40, and 75 degrees) that are shown at different locations in succession on a computer screen. Several seconds later, the participant is given a cue/indicator about which of the orientations they will need to recall (i.e., reproduce) during the trial's test phase. After another brief delay, a line is shown on the screen and the participant must rotate it with the mouse to match the orientation in memory. This occurred in two task conditions: the 'overlap' condition in which two memory items were shown at the same location on the screen; and the 'non-overlap' condition, in which all items were presented at different locations on the screen. The 'overlap' task was carried out in the first half of the measured time frame; the 'non-overlap' task was carried out in the second half. Large errors (big differences between the reported and displayed orientation) indicate worse memory accuracy.

Time frame: 4 hours

Population: EEG recorded; sub-study 7 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Behavioral Accuracy: Sub-study 7Overlap task11.96 degrees (of orientation)Standard Deviation 3.12
Sub-study 1Behavioral Accuracy: Sub-study 7Non-overlap task13.12 degrees (of orientation)Standard Deviation 3.2
Primary

Experiment 2.a. Correlation of the Amplitude of Multivariate Inverted Encoding Model-reconstructions of the Location of the Unattended Memory Item With Alpha Band Power.

Correlation of the amplitude of multivariate inverted encoding model-reconstructions of the location of the unattended memory item, derived from the transcranial magnetic stimulation-evoked response, with alpha band power when targeting occipital cortex.

Time frame: 5 hours

Population: No data were collected for this outcome measure.

Primary

Experiment 2.a. Correlation of the Amplitude of Multivariate Inverted Encoding Model-reconstructions of the Location of the Unattended Memory Item With Beta-band Power

Correlation of the amplitude of multivariate inverted encoding model-reconstructions of the location of the unattended memory item, derived from the transcranial magnetic stimulation-evoked response, with beta-band power when targeting the intraparietal sulcus.

Time frame: 5 hours

Population: No data were collected for this outcome measure.

Primary

Experiment 2.a. Spatially Distributed Phase Coupling Extraction-identified Components of the Transcranial Magnetic Stimulation-evoked Electroencephalography Signal

Spatially distributed phase coupling extraction-identified components of the transcranial magnetic stimulation-evoked electroencephalography signal will indicate whether the unattended memory item reactivation effect is carried by a de novo component in the electroencephalographic signal, or by a change in the power of one or more components that were present in the signal prior to the delivery of transcranial magnetic stimulation. Note that this method entails analysis of a spectral transformation of the broadband electroencephalographic signal that does not entail the separate analysis of discrete functionally defined frequency bands (e.g., alpha, beta, etc.) Rather, spectral power values at every integer frequency from 2 to 20 Hz and every other integer from frequency from 22 to 30 Hz - yielding 24 frequencies per channel - are entered into the analysis. No a priori assumptions are made about the frequency composition of components that the method will identify.

Time frame: 5 hours

Population: No data were collected for this outcome measure.

Primary

Experiment 2.a. The Amplitude of Multivariate Inverted Encoding Model-reconstructions of Stimulus Location, Derived From the Transcranial Magnetic Stimulation-evoked Response

Multivariate inverted encoding modeling will be used to reconstruct the representation of stimulus locations from the electroencephalography data, and the strength of the representation will be compared across three stimulus conditions. Note that this method entails analysis of the broadband electroencephalographic signal (bandpass filtered from 1-100Hz) in each of two formats: time domain, and spectrally transformed. The spectrally transformed analysis does not entail the separate analysis of discrete functionally defined frequency bands (e.g., alpha, beta, etc.). Rather, spectral power values at every integer frequency from 2 to 20 Hz and at every other integer frequency from 22 to 50 Hz, yielding 34 frequencies per channel, are used as features in the analysis.

Time frame: 5 hours

Population: No data were collected for this outcome measure.

Primary

Experiment 3.a. Frequency in the Alpha Band of the EEG as a Function of Retinotopic Location

Frequency in the alpha band of the EEG as a function of retinotopic location

Time frame: 4 hours

Population: No data were collected for this outcome measure.

Primary

Experiment 3.a. Spatially Distributed Phase Coupling Extraction-identified Components of the Electroencephalography Signal From Signals Corresponding to the Attended Location

Spatially distributed phase coupling extraction-identified components of the electroencephalography signal from signals corresponding to the attended location to assess whether expectation-related shifts in alpha-band frequency are produced by a change in the frequency of one oscillator or by a change in the relative power of multiple oscillators.

Time frame: 4 hours

Population: No data were collected for this outcome measure.

Primary

Experiment 4.a. Frequency in the Alpha Band of the EEG as a Function of Retinotopic Location

Frequency in the alpha band of the EEG as a function of retinotopic location

Time frame: 4 hours

Population: data were not collected for this outcome measure.

Primary

Experiment 4.a. Power in the Alpha Band of the EEG as a Function of Retinotopic Location

Power in the alpha band of the EEG as a function of retinotopic location

Time frame: 4 hours

Population: data were not collected for this outcome measure.

Primary

Experiment 4.a. Reaction Time Assess as Latency to Press Response Button After Onset of Critical Stimulus.

Reaction time assess as latency to press response button after onset of critical stimulus.

Time frame: 4 hours

Population: Data were not collected for this outcome measure.

Primary

Experiment 4.a. Spatially Distributed Phase Coupling Extraction-identified Alpha-band Components of the Electroencephalography Signal From Signals Corresponding to the Attended Location

Spatially distributed phase coupling extraction-identified components of the electroencephalography signal from signals corresponding to the attended location to assess whether expectation-related shifts in alpha-band frequency are produced by a change in the frequency of one oscillator or by a change in the relative power of multiple oscillators.

Time frame: 4 hours

Population: data were not collected for this outcome measure

Primary

Experiment 6. Multivariate Inverted Encoding Modeling of the EEG Signal to Determine Whether or Not Contextual Information is Carried in This Signal

Multivariate inverted encoding modeling of the EEG signal to determine whether or not contextual information is carried in this signal. Note that this method entails analysis of the broadband electroencephalographic signal (bandpass filtered from 1-100Hz) in each of two formats: time domain, and spectrally transformed. The spectrally transformed analysis does not entail the separate analysis of discrete functionally defined frequency bands (e.g., alpha, beta, etc.). Rather, spectral power values at every integer frequency from 2 to 20 Hz and at every other integer frequency from 22 to 50 Hz - yielding 34 frequencies per channel -- are used as features in the analysis.

Time frame: 4 hours

Population: data were not collected for this outcome measure

Primary

Multivariate Inverted Encoding Modeling (IEM) Reconstruction: Sub-study 2

Each EEG electrode's signal was construed as a weighted sum of responses from six channels tuned to specific stimulus orientations in the study. Data from the delayed recognition task were regressed onto this basis set to obtain a weight matrix characterizing the contribution of each channel to each electrode's response. The weight matrix was then inverted to derive the reconstructed representation of stimulus orientation during the delay period of the primary 2-back task data. Reported is the group-level slope (in arbitrary units) of the reconstruction of the cued and uncued memory items during the delay period, serving as a memory strength index/score ranging from -1:+1. Larger slope magnitudes indicate stronger memory representations. Negative values imply that the memory representation was a modified ('flipped') version of the representation held when the stimulus was first presented; positive values indicate direct resemblance to when the stimulus was first presented.

Time frame: 4 hours

Population: EEG recorded; sub-study 2 participants only

ArmMeasureGroupValue (NUMBER)
Sub-study 1Multivariate Inverted Encoding Modeling (IEM) Reconstruction: Sub-study 2cued memory item reconstruction-0.0108 arbitrary units
Sub-study 1Multivariate Inverted Encoding Modeling (IEM) Reconstruction: Sub-study 2uncued memory item reconstruction0.0033 arbitrary units
Comparison: cued memory item reconstruction - test of reconstruction strength against 0p-value: 0.335t-test, 2 sided
Comparison: uncued memory item reconstruction - test of reconstruction strength against 0p-value: 0.016t-test, 2 sided
Primary

Multivariate Pattern Classification of EEG Data: Sub-study 1

Multivariate pattern classification is a machine learning method that assesses the neural representation of stimulus information in electroencephalographic (EEG) signal (i.e., to decode the signal). The outcome measure is decoding performance. When a decoder performs well (here, greater than 0.5), the EEG signal contains information consistent with the representation of the stimulus at that point in the trial; when it performs poorly (here, less than or equal to 0.5), there is no evidence for stimulus representation at that time. Reported here is average classifier accuracy (expressed as area under the curve) in decoding a memory item's representation during the memory period for the different task conditions: when the item was cued or uncued and when transcranial magnetic stimulation (TMS) was delivered or not. The data used come from the full measured time frame.

Time frame: 3 hours

Population: EEG recorded and single-pulse TMS applied intermittently during delay periods. Sub-study 1 participants only.

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Multivariate Pattern Classification of EEG Data: Sub-study 1Item cued + TMS delivered.55 probability of distinguishing stimuliStandard Error 0.05
Sub-study 1Multivariate Pattern Classification of EEG Data: Sub-study 1Item uncued + TMS delivered.54 probability of distinguishing stimuliStandard Error 0.05
Sub-study 1Multivariate Pattern Classification of EEG Data: Sub-study 1Item cued + TMS not delivered.52 probability of distinguishing stimuliStandard Error 0.1
Sub-study 1Multivariate Pattern Classification of EEG Data: Sub-study 1Item uncued + TMS not delivered.49 probability of distinguishing stimuliStandard Error 0.1
Primary

Reaction Time: Sub-study 1

The time, measured in milliseconds, that it took a subject to lock in their response via keyboard button press on each trial. The primary task completed by this group was a dual-serial recognition (DSR) task which involved two responses on each trial. The secondary (control) task was a single recognition (SR) task which involved one response on each trial. The two tasks were interleaved, so all participants completed them in succession throughout the measured time frame.

Time frame: 3 hours

Population: EEG recorded and single-pulse TMS applied intermittently during delay periods. Sub-study 1 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Reaction Time: Sub-study 1DSR task811 millisecondsStandard Deviation 130
Sub-study 1Reaction Time: Sub-study 1SR task823 millisecondsStandard Deviation 123
Primary

Reaction Time: Sub-study 2

The average time, measured in milliseconds, that it took a subject to lock in their response via mouse button click on each trial. The primary task completed by this group of participants was a two-back recognition task, in which participants indicated whether the current stimulus was a match or non-match to the stimulus shown two items ago (completed during the first half of the measured time frame); the second task was a delayed recognition task in which participants indicated whether the current stimulus was a match or non-match to a stimulus shown 1750 ms prior (completed during the second half of the measured time frame).

Time frame: 3 hours

Population: EEG recorded; sub-study 2 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Reaction Time: Sub-study 22-back task850 millisecondsStandard Deviation 210
Sub-study 1Reaction Time: Sub-study 2delayed recognition task660 millisecondsStandard Deviation 120
Primary

Reaction Time: Sub-study 3

The average time, measured in milliseconds, that it took a subject to lock in their response via keyboard button press on each trial. The primary task results were based on validly cued trials in which the cue indicated the to-be-tested location, whereas the second task results were based on the invalidly cued trials in which the cue indicated a location that was not the to-be-tested location. These task conditions were intermixed throughout the measured time frame.

Time frame: 3 hours

Population: EEG recorded; sub-study 3 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Reaction Time: Sub-study 3Valid cueing1004 millisecondsStandard Deviation 309
Sub-study 1Reaction Time: Sub-study 3Invalid cueing1070 millisecondsStandard Deviation 296
Primary

Reaction Time: Sub-study 5

The average time, measured in milliseconds, that it took a subject to lock in their response via keyboard button press on each trial. The primary task results were based on the accuracy of discrimination on 'congruent' trials in which the working memory item and the perceptual discrimination stimulus were identical in orientation; the secondary task results were based on the accuracy of discrimination on 'incongruent' trials. The two task types were intermixed throughout the measured time frame.

Time frame: 3 hours

Population: EEG recorded; sub-study 5 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Reaction Time: Sub-study 5Incongruent trials990 millisecondsStandard Deviation 140
Sub-study 1Reaction Time: Sub-study 5Congruent trials970 millisecondsStandard Deviation 110
Primary

Reaction Time: Sub-study 6

The average time, measured in milliseconds, that it took a subject to lock in their response via keyboard button press on each trial. The primary task was a 'set size 2' task in which participants had to maintain two items in working memory; the secondary task was a 'set size 1' task in which participants maintained one item in working memory. These tasks were intermixed throughout the measured time frame.

Time frame: 3 hours

Population: EEG recorded; sub-study 6 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1Reaction Time: Sub-study 6Memory set size 2750 millisecondsStandard Deviation 85
Sub-study 1Reaction Time: Sub-study 6Memory set size 1675 millisecondsStandard Deviation 80
Primary

The Amplitude of Contralateral Delay Activity (CDA): Sub-study 4

The CDA is an event-related potential (ERP) derived from posterior electrodes that tracks the amount of information held in working memory, and may also be sensitive to context-binding demands. It becomes more negative with increasing memory load. The CDA was computed from the EEG by averaging the voltage across trials to generate signals that were contralateral or ipsilateral to the memory cue. The difference wave was computed by subtracting the ipsilateral signals from contralateral signals. The amplitude of the CDA is reported for two conditions: the large set size tracked participants' CDA when the memory set was homogenous - comprised of multiple items from the same stimulus category thus all were cued; the small set size analyses tracked participants' performance when the memory set was heterogenous - comprised of items from multiple stimulus categories, with only one category being cued for the target response. Data from the full session was used in this analysis.

Time frame: 4 hours

Population: with EEG recorded; Sub-study 4 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1The Amplitude of Contralateral Delay Activity (CDA): Sub-study 4Small set size.25 microvoltsStandard Error 0.12
Sub-study 1The Amplitude of Contralateral Delay Activity (CDA): Sub-study 4Large set size.2 microvoltsStandard Error 0.1
Primary

The Amplitude of the Contralateral Delay Activity (CDA): Sub-study 6

The CDA is an event-related potential (ERP) derived from posterior electrodes that tracks the amount of information held in working memory, and may also be sensitive to context-binding demands. It becomes more negative with increasing memory load. The CDA was computed from the EEG by averaging the voltage across trials to generate signals that were contralateral or ipsilateral to the memory cue. The difference wave was computed by subtracting the ipsilateral signals from contralateral signals. The amplitude of the CDA is reported for two conditions: The large set size tracked participants' CDA when the memory set was comprised of two target features; the small set size analyses tracked participants' performance when the memory set was comprised of one target feature. Data from the full session was used in this analysis.

Time frame: 4 hours

Population: EEG recorded; sub-study 6 participants only

ArmMeasureGroupValue (MEAN)Dispersion
Sub-study 1The Amplitude of the Contralateral Delay Activity (CDA): Sub-study 6Small set size.6 microvoltsStandard Error 0.05
Sub-study 1The Amplitude of the Contralateral Delay Activity (CDA): Sub-study 6Large set size.75 microvoltsStandard Error 0.1
Primary

Transcranial Magnetic Stimulation (TMS) Effects on EEG Data Component Strengths: Sub-study 1

The spatially distributed phase coupling extraction (SPACE) decomposition method was used to identify discrete neural rhythms ('components') giving rise to the EEG signal. The strength of identified components at each time point (epoch) in the trial provides a measure of activity, ranging from 0 (absent/inactive) to a positive value (present/active). Strengths were used to address the question of whether single pulse TMS evokes new neural rhythms that weren't active before the pulse or modulates existing rhythms. If new rhythms are evoked, a greater percentage of trials with negligible (\ 0) strengths prior to TMS that increase after TMS compared to trials without TMS should be observed. Reported are the percentage of trials with this pattern for the posterior beta, posterior alpha, and posterior theta identified components for trials with and without TMS and TMS. Data from the full session were used.

Time frame: 3 hours

Population: EEG recorded and single-pulse TMS applied intermittently during delay periods; sub-study 1 participants only

ArmMeasureGroupValue (NUMBER)
Sub-study 1Transcranial Magnetic Stimulation (TMS) Effects on EEG Data Component Strengths: Sub-study 1TMS not delivered posterior theta45.5 percentage of epochs
Sub-study 1Transcranial Magnetic Stimulation (TMS) Effects on EEG Data Component Strengths: Sub-study 1TMS delivered posterior beta4.57 percentage of epochs
Sub-study 1Transcranial Magnetic Stimulation (TMS) Effects on EEG Data Component Strengths: Sub-study 1TMS not delivered posterior beta4.5 percentage of epochs
Sub-study 1Transcranial Magnetic Stimulation (TMS) Effects on EEG Data Component Strengths: Sub-study 1TMS delivered posterior alpha40.12 percentage of epochs
Sub-study 1Transcranial Magnetic Stimulation (TMS) Effects on EEG Data Component Strengths: Sub-study 1TMS not delivered posterior alpha40.45 percentage of epochs
Sub-study 1Transcranial Magnetic Stimulation (TMS) Effects on EEG Data Component Strengths: Sub-study 1TMS delivered posterior theta46.33 percentage of epochs

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026