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NCT Number: NCT03896425

Maximizing the Impact of Neuroplasticity Using Transcranial Electrical Stimulation Study 1

Non-invasive neuromodulation, such as transcranial direct current stimulation ( tDCS) , is emerging as an important therapeutic tool with documented effects on brain circuitry, yet little is understood about h ow it changes cognition. In particular, tDCS may have a critical role to play in generalization, that is how training in one domain generalizes to unlearned or unpracticed domains. This problem has resonance for disorders with cognitive deficits, such as schizophrenia.

Understanding how tDCS affects brain circuity is critical to the design and application of effective interventions, especially if the effects are different for healthy vs. psychiatric populations. In previous research, one clue to the mechanism underlying increased learning and generalization with tDCS was provided by neuroimaging data from subjects with schizophrenia undergoing cognitive training where increases in thalamocortical (prefrontal) functional connectivity (FC) predicted greater generalization.

The premise of this proposal is that increases in thalamocortical FC are associated with the generalization of cognitive training, and tDCS facilitates these increases. The overarching goals of this proposal are to deploy neuroimaging and cognitive testing to understand how tDCS with cognitive training affect thalamocortical circuitry in individuals with and without psychosis and to examine variability in response within both groups.

Study 1 will compare right prefrontal, left prefrontal and sham tDCS during concurrent cognitive training over 12 weeks in 90 healthy controls. Study 2 (NCT03896438) will be similar in all aspects but will examine 90 patients with schizophrenia or schizoaffective disorder and include clinical assessments. Results of the study will provide crucial information about location of stimulation, length of treatment, modeled dosage, trajectory and durability needed to guide future research and interventions for cognitive impairments.

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Key information

Conditions

Transcranial Direct Current Stimulation Healthy

Age range

18 year–60 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University of Minnesota

Minneapolis, Minnesota, 55455, United States

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Ability to provide consent and comply with study procedures.
  • Age 18 - 60 years old.
  • Estimated IQ range within the range: 70 ≤ IQ ≤ 115.
  • No Serious and Persistent Mental Illness (SPMI) or addictive disorder diagnosis as measured by the MINI (Mini International Neuropsychiatric Interview), or sleep disorder;
  • Ability to participate in three weekly 45' training sessions over 12 weeks and participate in four assessments.

Exclusion criteria

  • Any medical condition or treatment with neurological sequelae (e.g. stroke, tumor, loss of consciousness > 30 min, HIV).
  • Contraindications for tDCS or MRI scanning (tDCS contraindication: history of seizures; MRI contraindications: The research team will utilize the CMRR Center's screening tools and adhere to the screening SOP during enrollment of all research participants in this protocol. The CMRR Center's screening tools and SOP are IRB approved under the CMRR Center Grant (HSC# 1406M51205) and information regarding screening procedures is publicly available on the CMRR website (CMRR Policies / Procedures).

Treatment and study plan

Transcranial direct current stimulation (tDCS)

Device

Three different stimulation montages will be programmed: right, left and sham. During the Ramp periods, 2 mA current will be delivered to both AF3 and AF4 with an ascending (RampUp) and descending ramp (RampDown) over 30 sec via two saline soaked electrode sponges (~ 25cm²; current density = 0.08 mA/cm²). In this way, all subjects experience the same sensation on both sides to blind them to condition. During the Constant period, current will be set based on the Condition: Right - 2mA AF4 anode-AF3 cathode; Left - 2mA applied to AF3 anode-AF4 cathode; Sham - current turned off.

Primary outcomes

  1. Changes in Thalamocortical Functional Connectivity (FC)

    Time frame: baseline

    Most participants completed MRI sessions on a 3T scanner located in the Center for Magnetic Resonance Research (CMRR) at the University of Minnesota. FC measures how different brain regions change in activation together. We characterized FC using global connectivity from graph theory analysis. We extracted the fMRI time courses from 454 parcellations defined by the 400 S4 Schaefer Atlas (Schaefer et al., 2018) combined with the Melbourne Subcortex Atlas (Tian et al., 2020). We computed the absolute value of the Pearson's correlation for all possible pairs of time series, creating a 454x454 (N x N) connectivity matrix, which was then reduced to 10% most significant connections by subject. We estimated the FC by calculating the node strength for each parcellation, which is the weighted mean of all significant connections, from these connectivity matrices. Finally, we averaged node strength across parcellations to calculate global node strength. Higher values indicate more brain-wide FC.

  2. Changes in Task-dependent Thalamocortical Functional Connectivity (fMRI) During the N-back Task.

    Time frame: baseline

    Task-dependent thalamocortical connectivity associated with the N-back task was calculated by modeling the block task design together with the thalamic regressor using psychophysiological interaction analysis (PPI). The thalamic regressor is the time series of the mediodorsal thalamus from the Melbourne atlas. The primary analysis focused on the 2-back conditions alone. The PPI analysis calculates the functional connectivity between the mediodorsal thalamus and all other brain regions specifically during 2-back trials. Neural activation related to the thalamic regressor was compared to neural activation during the fixation (no choices made) to normalize the relative activation (z-score). Positive values indicate increased functional connectivity with the thalamus during the 2-back choices. A z-score of zero represents no difference compared to the fixation cross (no choices). We report the average z-score of the PPI regressor within the control network (Yeo et al., 2011).

  3. Changes in Task-dependent Thalamocortical Functional Connectivity (fMRI) During the DPX Task.

    Time frame: baseline

    Task-dependent thalamocortical connectivity associated with the Dot Pattern Expectancy (DPX) task demands will be identified by analyzing cue and probe events together with the thalamic regressor using psychophysiological interaction analysis (PPI). The thalamic regressor is the time series of the mediodorsal thalamus from the Melbourne atlas. We examined B-cue related connectivity. The PPI analysis calculates the functional connectivity between the mediodorsal thalamus and all other brain regions specifically during B-cue trials. Neural activation related to the thalamic regressor was compared to neural activation during the fixation (no choices made) to normalize the relative activation (z-score). Positive values indicate increased functional connectivity with the thalamus during the B-cue responses. A z-score of zero represents no difference compared to the fixation cross (no choices). We report the average z-score of the PPI regressor within the control network (Yeo et al., 2011).

  4. D-prime Score

    Time frame: baseline

    The n-back task measures working memory capacity. The participant is presented with a series of stimuli and instructed to indicate with a button press when the current stimulus matches the stimulus that appeared a pre-determined number (n) of trials before. d' (d prime) will be calculated as a measure of signal detection, which indicates the normalized rate of hits to false positives (d' = z(H) - z(F)). Increase in d' signifies improved signal detection, i.e. a better outcome. A d' near zero indicates a performance at chance, i.e., a poor performance.

  5. D-prime Score

    Time frame: baseline

    The Dot Pattern Expectancy (DPX) task is an adaptation of the expectancy AX task that uses pairs of simple dot patterns rather than letter pairs as stimuli. The DPX task will be performed in 3 blocks. Each trial consists of a cue dot pattern followed by a probe dot pattern. Different combinations of cues and probes enable the identification of a specific deficit in a subject's ability to maintain goal-relevant information throughout a trial. Timing will be jittered and each block of the DPX task will consist of 40 trials: 24 AX (60%), 6 AY (15%), 6 BX (15%) and 4 BY (10%). Each block will last 6 minutes. d'-context will be calculated as a measure of signal detection, which indicates the normalized rate of AX hits to BX false positives (d' = z(H) - z(F)). Increase in d' -context signified improved signal detection, i.e. a better outcome. A d' near zero indicates a performance at chance, i.e., a poor performance.

  6. Changes in Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) Composite Score

    Time frame: baseline

    Intends to provide a relatively brief evaluation of key cognitive domains relevant to schizophrenia and related disorders. The composite score is reported as a T-score, with a mean of 50 and standard deviation of 10. Higher values indicate greater cognitive functioning.

  7. Changes in Thalamocortical Functional Connectivity (FC)

    Time frame: mid-test (week 6)

    Most participants completed MRI sessions on a 3T scanner located in the Center for Magnetic Resonance Research (CMRR) at the University of Minnesota. FC measures how different brain regions change in activation together. We characterized FC using global connectivity from graph theory analysis. We extracted the fMRI time courses from 454 parcellations defined by the 400 S4 Schaefer Atlas (Schaefer et al., 2018) combined with the Melbourne Subcortex Atlas (Tian et al., 2020). We computed the absolute value of the Pearson's correlation for all possible pairs of time series, creating a 454x454 (N x N) connectivity matrix, which was then reduced to 10% most significant connections by subject. We estimated the FC by calculating the node strength for each parcellation, which is the weighted mean of all significant connections, from these connectivity matrices. Finally, we averaged node strength across parcellations to calculate global node strength. Higher values indicate more brain-wide FC.

  8. Changes in Thalamocortical Functional Connectivity (FC)

    Time frame: post-test (week 12)

    Most participants completed MRI sessions on a 3T scanner located in the Center for Magnetic Resonance Research (CMRR) at the University of Minnesota. FC measures how different brain regions change in activation together. We characterized FC using global connectivity from graph theory analysis. We extracted the fMRI time courses from 454 parcellations defined by the 400 S4 Schaefer Atlas (Schaefer et al., 2018) combined with the Melbourne Subcortex Atlas (Tian et al., 2020). We computed the absolute value of the Pearson's correlation for all possible pairs of time series, creating a 454x454 (N x N) connectivity matrix, which was then reduced to 10% most significant connections by subject. We estimated the FC by calculating the node strength for each parcellation, which is the weighted mean of all significant connections, from these connectivity matrices. Finally, we averaged node strength across parcellations to calculate global node strength. Higher values indicate more brain-wide FC.

  9. Changes in Task-dependent Thalamocortical Functional Connectivity (fMRI) During the N-back Task.

    Time frame: mid-test (week 6)

    Task-dependent thalamocortical connectivity associated with the N-back task was calculated by modeling the block task design together with the thalamic regressor using psychophysiological interaction analysis (PPI). The thalamic regressor is the time series of the mediodorsal thalamus from the Melbourne atlas. The primary analysis focused on the 2-back conditions alone. The PPI analysis calculates the functional connectivity between the mediodorsal thalamus and all other brain regions specifically during 2-back trials. Neural activation related to the thalamic regressor was compared to neural activation during the fixation (no choices made) to normalize the relative activation (z-score). Positive values indicate increased functional connectivity with the thalamus during the 2-back choices. A z-score of zero represents no difference compared to the fixation cross (no choices). We report the average z-score of the PPI regressor within the control network (Yeo et al., 2011).

  10. Changes in Task-dependent Thalamocortical Functional Connectivity (fMRI) During the N-back Task.

    Time frame: post-test (week 12)

    Task-dependent thalamocortical connectivity associated with the N-back task was calculated by modeling the block task design together with the thalamic regressor using psychophysiological interaction analysis (PPI). The thalamic regressor is the time series of the mediodorsal thalamus from the Melbourne atlas. The primary analysis focused on the 2-back conditions alone. The PPI analysis calculates the functional connectivity between the mediodorsal thalamus and all other brain regions specifically during 2-back trials. Neural activation related to the thalamic regressor was compared to neural activation during the fixation (no choices made) to normalize the relative activation (z-score). Positive values indicate increased functional connectivity with the thalamus during the 2-back choices. A z-score of zero represents no difference compared to the fixation cross (no choices). We report the average z-score of the PPI regressor within the control network (Yeo et al., 2011).

  11. D-prime Score

    Time frame: mid-test (week 6)

    The n-back task measures working memory capacity. The participant is presented with a series of stimuli and instructed to indicate with a button press when the current stimulus matches the stimulus that appeared a pre-determined number (n) of trials before. d' (d prime) will be calculated as a measure of signal detection, which indicates the normalized rate of hits to false positives (d' = z(H) - z(F)). Increase in d' signifies improved signal detection, i.e. a better outcome. A d' near zero indicates a performance at chance, i.e., a poor performance.

  12. D-prime Score

    Time frame: post-test (week 12)

    The n-back task measures working memory capacity. The participant is presented with a series of stimuli and instructed to indicate with a button press when the current stimulus matches the stimulus that appeared a pre-determined number (n) of trials before. d' (d prime) will be calculated as a measure of signal detection, which indicates the normalized rate of hits to false positives (d' = z(H) - z(F)). Increase in d' signifies improved signal detection, i.e. a better outcome. A d' near zero indicates a performance at chance, i.e., a poor performance.

  13. Changes in DPX Task Performance

    Time frame: mid-test (week 6)

    The Dot Pattern Expectancy (DPX) task is an adaptation of the expectancy AX task that uses pairs of simple dot patterns rather than letter pairs as stimuli. The DPX task will be performed in 3 blocks. Each trial consists of a cue dot pattern followed by a probe dot pattern. Different combinations of cues and probes enable the identification of a specific deficit in a subject's ability to maintain goal-relevant information throughout a trial. Timing will be jittered and each block of the DPX task will consist of 40 trials: 24 AX (60%), 6 AY (15%), 6 BX (15%) and 4 BY (10%). Each block will last 6 minutes. d'-context will be calculated as a measure of signal detection, which indicates the normalized rate of AX hits to BX false positives (d' = z(H) - z(F)). Increase in d' -context signified improved signal detection, i.e. a better outcome. A d' near zero indicates a performance at chance, i.e., a poor performance.

  14. Changes in DPX Task Performance

    Time frame: post-test (week 12)

    The Dot Pattern Expectancy (DPX) task is an adaptation of the expectancy AX task that uses pairs of simple dot patterns rather than letter pairs as stimuli. The DPX task will be performed in 3 blocks. Each trial consists of a cue dot pattern followed by a probe dot pattern. Different combinations of cues and probes enable the identification of a specific deficit in a subject's ability to maintain goal-relevant information throughout a trial. Timing will be jittered and each block of the DPX task will consist of 40 trials: 24 AX (60%), 6 AY (15%), 6 BX (15%) and 4 BY (10%). Each block will last 6 minutes. d'-context will be calculated as a measure of signal detection, which indicates the normalized rate of AX hits to BX false positives (d' = z(H) - z(F)). Increase in d' -context signified improved signal detection, i.e. a better outcome. A d' near zero indicates a performance at chance, i.e., a poor performance.

  15. Changes in Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) Composite Score

    Time frame: mid-test (week 6)

    Intends to provide a relatively brief evaluation of key cognitive domains relevant to schizophrenia and related disorders. The composite score is reported as a T-score, with a mean of 50 and standard deviation of 10. Higher values indicate greater cognitive functioning.

  16. Changes in Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) Composite Score

    Time frame: post-test (week 12)

    Intends to provide a relatively brief evaluation of key cognitive domains relevant to schizophrenia and related disorders. The composite score is reported as a T-score, with a mean of 50 and standard deviation of 10. Higher values indicate greater cognitive functioning.

  17. Changes in Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) Composite Score

    Time frame: follow up (week 24)

    Intends to provide a relatively brief evaluation of key cognitive domains relevant to schizophrenia and related disorders. The composite score is reported as a T-score, with a mean of 50 and standard deviation of 10. Higher values indicate greater cognitive functioning.

  18. Changes in Task-dependent Thalamocortical Functional Connectivity (fMRI) During the DPX Task.

    Time frame: mid-test (week 6)

    Task-dependent thalamocortical connectivity associated with the Dot Pattern Expectancy (DPX) task demands will be identified by analyzing cue and probe events together with the thalamic regressor using psychophysiological interaction analysis (PPI). The thalamic regressor is the time series of the mediodorsal thalamus from the Melbourne atlas. We examined B-cue related connectivity. The PPI analysis calculates the functional connectivity between the mediodorsal thalamus and all other brain regions specifically during B-cue trials. Neural activation related to the thalamic regressor was compared to neural activation during the fixation (no choices made) to normalize the relative activation (z-score). Positive values indicate increased functional connectivity with the thalamus during the B-cue responses. A z-score of zero represents no difference compared to the fixation cross (no choices). We report the average z-score of the PPI regressor within the control network (Yeo et al., 2011).

  19. Changes in Task-dependent Thalamocortical Functional Connectivity (fMRI) During the DPX Task.

    Time frame: post-test (week 12)

    Task-dependent thalamocortical connectivity associated with the Dot Pattern Expectancy (DPX) task demands will be identified by analyzing cue and probe events together with the thalamic regressor using psychophysiological interaction analysis (PPI). The thalamic regressor is the time series of the mediodorsal thalamus from the Melbourne atlas. We examined B-cue related connectivity. The PPI analysis calculates the functional connectivity between the mediodorsal thalamus and all other brain regions specifically during B-cue trials. Neural activation related to the thalamic regressor was compared to neural activation during the fixation (no choices made) to normalize the relative activation (z-score). Positive values indicate increased functional connectivity with the thalamus during the B-cue responses. A z-score of zero represents no difference compared to the fixation cross (no choices). We report the average z-score of the PPI regressor within the control network (Yeo et al., 2011).

Sponsors and collaborators

Lead sponsor

University of Minnesota

Other

Collaborators

  • National Institute of Mental Health (NIMH)

Registry information

Official study title

Increased Thalamocortical Connectivity in Tdcs-potentiated Generalization of Cognitive Training

Acronym: MINUTES

Important dates

Study start
2019
Primary completion
2023
Study completion
2024
First posted
Apr 1, 2019
Registry last updated
Aug 7, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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