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RecruitingNCT03786185MusicPlastUpdated Mar 1, 2024

Neuroplasticity of Multisensory Cortical Areas Induced by Musical Training: a Translational Approach (MusicPlast)

An interventional study of MusicPlast and MusicPlast Control in Dyslexia and Aging Problems, sponsored by Aristotle University Of Thessaloniki. Recruiting at 1 site in Greece. Open to participants aged 12 Years to 100 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-03-01.

Sponsored by Aristotle University Of Thessaloniki · Not applicable, Interventional, and Treatment

From the registry’s dates

  • Primary completion was expected by Dec 2024, 1 year 10 months ago, but the record still lists the study as recruiting.
  • Registered 4 months after the study started (first participant enrolled Aug 2018, registered Dec 2018).
  • Started Aug 2018; still recruiting 8 years 3 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
75
Allocation
Randomized
Ages
12 Years to 100 Years
Sex
All
01

Study summary

Exploiting recent methodological advancements, several neuroimaging studies suggested that multisensory integration emerges from a dynamic interplay of distributed regions operating in large-scale networks. Nonetheless, the cortical structures and neuronal networks underlying the development of multisensory perception and plasticity, throughout the life span, have not yet been studied in detail. A special case of multisensory training is musical training, which utilizes stimulus' structural complexity, as well as the emotional drive that music is generating to the subjects, in order to induce augmented neuroplastic effects.

Retaining the extensive neuroplastic characteristics of music training, MUSICPLAST will develop, investigate and deliver a computer provided multisensory training protocol that aims to induce neuroplastic changes in frontotemporal cortical areas. More specifically, the goal of the proposed project is threefold: (a) The in-depth understanding and modeling of the developmental trajectory of the cortical networks underlying multisensory perception, (b) the modeling of the developmental trajectory of the cortical networks underlying multisensory plasticity throughout the life span of healthy subjects; and (c) the translation of this model in a computer provided multisensory training intervention protocol, which will cause beneficial neuroplastic changes in pathological populations. Electroencephalographic, behavioral and neuropsychological measurements, and advanced data analysis procedures, pre- and post the training application are going to be employed in order to evaluate the resulting neuroplasticity holistically. The proposed protocol will also be translated into an applied intervention for 2 groups of pathological population, for which there are strong evidence that a multisensory cognitive training based on music may provide beneficial neuroplastic changes: elderlies suffering from mild cognitive Impairment and adolescents with dyslexia.

The project is performed in the Laboratory of Medical Physics of the Aristotle University of Thessaloniki. It takes advantage of the extensive background of the laboratory in music and neuroscience, in multisensory perception and in applications that translate basic neuroscientific knowledge into computer based interventions for young adults and elderlies, building up a solid neuroscientific ground on which multidisciplinary characteristics of the project stand.

Read the detailed description

Goals and research questions

The first goal of MUSICPLAST is to explore in-depth the development of audiovisual perception in the healthy human brain describing in detail the corresponding cortical networks involved. High density EEG measurements (128 channels) are going to be employed for the realization of this goal following a stimulation protocol which incorporates auditory, visual and audiovisual correspondences in a unified multisensory oddball paradigm. Behavioral and neuropsychological evaluation of the multisensory perceptual abilities of the subjects will be performed in order to achieve a holistic understanding of the phenomenon. The within subjects comparison of the different conditions will reveal the corresponding network, while the between subjects, its developmental trajectory. The hypothesis of this experiment, is that the network underlying audiovisual perception will be comprised from cortical areas connecting widespread regions including dorsolateral regions of the frontal cortex. Regarding its development, and based on the fact that behaviorally multisensory integration continues to improve in healthy aging, it is hypothesized that the network will be reorganized showing enhanced density and efficiency as the age progresses.

The second goal of MUSICPLAST is to explore in-depth the plasticity of the cortical network underlying audiovisual perception in the healthy human brain, as induced via a computer provided short-term musical reading training. Pre- and post- training high-density EEG, behavioral and neuropsychological measurements are going to be employed for the realization of this goal following the same stimulation paradigm as for the previously mentioned goal. The hypothesis of this experiment, is that the network underlying audiovisual perception will be reorganized showing enhanced global density and efficiency, greater connectivity between temporal and frontopolar regions and a gradual decline of the amount of plasticity as a result of the age increase.

The third goal of MUSICPLAST is to evaluate the effectiveness of the proposed computerized music reading training protocol as a tool that will promote beneficial neuroplastic changes in pathological populations and specifically, dyslectic adolescents and elderlies. Pre- and post- training high-density EEG, behavioral and neuropsychological measurements are going to be employed for the realization of this goal following the same stimulation paradigm as for the previously mentioned goals. The hypothesis of this experiment, is that the network underlying audiovisual perception will be beneficially reorganized due to the training showing enhanced global density and efficiency, greater connectivity between temporal and frontopolar regions and that these changes will be accompanied from improvement in the corresponding behavioral and neuropsychological evaluation.

Research design and methodology Participants

A sample size analysis was conducted via G-Power based on the data from a previous relevant study of the PI and indicated that the desired sample size in order to reach a power of 0.8 and a two sided significance level of a = 0.05 is 13 subjects in each group. In order to account for possible dropouts, MUSICPLAST will include 20 subjects in each group [adolescents (n = 20), young adults (n = 20), elderlies (n = 20) and controls (n=20)]. The study will be conducted according to the declaration of Helsinki with regard to the participation of human subjects in research.

EEG and behavioral measurements

Prior to the beginning of the training and after its completion, the participants will be subjected into 2 electroencephalographic measurements. The recordings will be performed in an electromagnetically shielded room located in the Medical Physics Laboratory of AUTH using a Nihon Kohden EEG-1200 system with 128 active electrodes. The first measurement will be of resting state activity, allowing a network analysis of resting state cortical connectivity while the second will record Event Potentials via a multisensory oddball paradigm which is appropriately adjusted for audiovisual perception, as it incorporates audiovisual, auditory and visual mismatches within one run. This paradigm has been proposed and successfully applied in a series of studies by the PI and it allows both a spatiotemporal analysis of the cortical activity as well as a functional connectivity analysis.

Concurrently to the EEG measurements the subjects will respond behaviorally via button presses to an audiovisual congruency task on which they have to evaluate whether the images presented correspond to the tones they hear based on the rule "the higher the pitch of the tone - the higher the position of the circle". This measurement will allow the behavioral evaluation of the discrimination accuracy of congruent and incongruent audiovisual stimuli.

Prior to the beginning of the training and after its completion, the participants will be subjected into a neuropsychological evaluation, which will consist of a battery including the following tests:

All subjects:

Stroop Test Trail A and B Digit Span Test Performance Subtest of Wechsler Intelligence Scale Children III or Wechsler Adult Intelligence Scale according to the age.

Elderlies only:

Mini Mental State Examination (MMSE) Montreal Cognitive Assessment (MoCA) Geriatric Depression Scale

Dyslectics only:

Word and nonword reading Word and nonword spelling Phonological ability

Intervention - MUSICPLAST training protocol

Each subject will receive 20 sessions of the computerized training based on a simplified music reading within a period of 4 weeks. The training will be provided via a smartphone or a tablet. The application will record a log file for each training session, which will last for 20 minutes and the log file will be directly available to the researcher, allowing him/her to follow the timely participation and commitment of the subject. The stimuli used in the training protocol will be constructed along the same principles of the audiovisual stimulus patterns used in the EEG recordings: a visual image will show a circle on top of a background of 5 horizontal lines. The duration of the patterns will be of a mean duration of 10 seconds.

The position of the circle within the five lines will either follow the rule "the higher the pitch of the tone, the higher the position of the circle" or it will violate the above rule. This rule was in principle followed also in previous studies conducted by the PI with positive results regarding the induced neuroplasticity. The visual images will only represent the frequency of the pitch and not the rhythmical pattern. The participant will have to respond at the end of each trial via a button press whether the audiovisual input confirmed or violated the above presented rule. A feedback image of a smiling face for the correct responses or a not smiling face for the incorrect responses will be provided for each trial. The protocol will be of adjusted difficulty, having 5 levels of difficulty which will be based on 2 different factors: the presentation speed, and the difficulty of the musical pattern. In contrast to the EEG measurement procedure, during which the melodic patterns will be unknown to the subjects, the melodic patterns used in the training will be comprised of short but identifiable parts of known musical pieces in order to engage the participants and to provoke emotional response. The training will be improved in comparison to the corresponding previous studies of the PI by providing feedback and by the use of known musical pieces which will induce an emotional response to the trainees.

EEG data analysis and statistical procedures

The EEG data collected will be pre-processed using the Brain Electrical Source Analysis software (BESA research, version 6, Megis Software, Heidelberg, Germany). The recorded data will be separated in epochs of 1000 ms including a pre-stimulus interval of 200 ms. Epochs will be baseline corrected using the interval from -100 to 0 ms. Current Density Reconstructions (CDRs) will be calculated on the neural responses of each subject and each condition using the sLORETA method55 as provided by BESA. The Matlab ® (The MathWorks, Inc., Natick, Massachusetts, United States.) toolbox HERMES56 will be used for calculating the adjacency matrix from the voxel time-series. The toolbox Network Based Statistic (NBS) will be used to statistically identify significant connections in the graphs, using a General Linear Model approach. For the statistical analysis of the data a 2 × 2 × 2 × 2 mixed model ANOVA design will be followed, with 3 within subjects factors: condition (congruent and incongruent), modality (audiovisual, auditory, and visual) and time (pre- and post- training) and one between subjects: (age group). The significance level will be set to p \< 0.05 corrected for multiple comparisons via Family Wise Error correction.

02

Conditions studied

  • Dyslexia
  • Aging Problems

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Keywords

  • Neuroplasticity
  • Computerized training
  • Music reading
  • Multisensory training
03

In context

Dyslexia

127 studies on the registry are indexed under Dyslexia; 27 are open to participants now.

This study's planned enrollment of 75 is close to the median of 71 across 106 interventional studies indexed under Dyslexia.

Browse Dyslexia studies →

Lead sponsor

Aristotle University Of Thessaloniki is the lead sponsor of 282 studies on the registry; 55 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
12 Years to 100 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Eligibility criteria

Group of Adolescent dyslectics

Inclusion Criteria:

  • 13 - 18 years of age
  • normal or corrected-to-normal hearing and vision
  • Diagnosed dyslexia

Exclusion Criteria:

  • any other than dyslexia, diagnosed neurological, mental, developmental or psychiatric disorder
  • (ii) unrecovered neurological disorders (i.e., stroke, traumatic brain injury),
  • (iii) unstable medication within the last 3 months,
  • (iv) severe physical disorder, and
  • (v) concurrent participation in another relevant study.

Group of Adolescent controls

Inclusion Criteria:

  • 13 - 18 years of age
  • normal or corrected-to-normal hearing and vision

Exclusion Criteria:

  • (I) any diagnosed neurological, mental, developmental or psychiatric disorder
  • (ii) unrecovered neurological disorders (i.e., stroke, traumatic brain injury),
  • (iii) unstable medication within the last 3 months,
  • (iv) severe physical disorder, and
  • (v) concurrent participation in another relevant study.

Group of Young Adults

Inclusion Criteria:

  • 18 - 35 years of age
  • normal or corrected-to-normal hearing and vision

Exclusion Criteria:

  • (I) any diagnosed neurological, mental, developmental or psychiatric disorder
  • (ii) unrecovered neurological disorders (i.e., stroke, traumatic brain injury),
  • (iii) unstable medication within the last 3 months,
  • (iv) severe physical disorder, and
  • (v) concurrent participation in another relevant study.

Group of Seniors

Inclusion Criteria:

  • 65 - 100 years of age
  • normal or corrected-to-normal hearing and vision
  • normal score in a neuropsychological screening procedure which regards cognitive functionality

Exclusion Criteria:

  • (i) unrecovered neurological disorders (i.e., stroke, traumatic brain injury),
  • (ii) severe depression or psychological disorder,
  • (iii) unstable medication within the last 3 months,
  • (iv) severe physical disorder, and
  • (v) concurrent participation in another relevant study.
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
75 participants (estimated)

Study arms

  • Experimental
    Adolescents with dyslexia

    MusicPlast training

    Behavioral: MusicPlast

  • Active comparator
    Adolescents without dyslexia

    MusicPlast training

    Behavioral: MusicPlast

  • Experimental
    Young Adults

    MusicPlast training

    Behavioral: MusicPlast

  • Active comparator
    Young Adults Control

    MusicPlast Control, in a similar design as MusicPlast

    Behavioral: MusicPlast Control

  • Experimental
    Seniors

    MusicPlast training

    Behavioral: MusicPlast

Interventions

  • BehavioralMusicPlast

    Each subject will receive 20 sessions of the computerized training based on a simplified music reading protocol. The training will be provided via a smartphone or a tablet. Each training session will last for 20 minutes and the log file will be directly available to the researcher, allowing him/her to follow subject's timely participation. The stimuli used in the training protocol will consist of a visual image showing a circle on top of a background of 5 horizontal lines. The auditory part of the stimulus will consist of piano melodies of known songs. The position of the circle within the five lines will either follow the rule "the higher the pitch of the tone, the higher the position of the circle" or it will violate the above rule. The task requires audiovisual integration.

  • BehavioralMusicPlast Control

    Each subject will receive 20 sessions of the computerized training within a period of 4 weeks, aiming to train visual search via spot-the-difference tasks and identification of dissonance in music. Auditory and visual stimuli are concurrently presented, but do not require audiovisual integration.

06

What researchers measure

Primary outcomes

  1. Change in current density strength of the cortical activity as measured via EEG

    Changes in cortical activity strength caused via the training. Change is defined as statistical significance in the t-test comparison of the current density strength as reconstructed via Low Resolution Electromagnetic Tomography (LORETA) algorithm on the basis of high density EEG recordings, before compared to after the training

    Time frame: 1 month

  2. Change in cortical connectivity as measured via EEG

    Changes in cortical connectivity caused via the training. Change is defined as statistical significance in the t-test comparison of the Transfer Entropy estimated from the cortical activity, as reconstructed via LORETA algorithm on the basis of high density EEG recordings, before compared to after the training.

    Time frame: 1 month

Secondary outcomes

  1. Change in audiovisual integration functionality

    Change of accuracy in the behavioral measurement testing audiovisual integration. Change is defined as statistical significance in the t-test comparison before compared to after the training.

    Time frame: 1 month

  2. Change in cognitive functionality

    Change of scoring in neuropsychological tests related with attention, memory and performance. Change is defined as statistical significance in the t-test comparison before compared to after the training.

    Time frame: 1 month

07

Study locations

1 of 1 sites recruiting
  • Laboratory of Medical Physics
    Thessaloníki, 54124, Greece
    Recruiting
    • Evangelos Paraskevopoulos, PhD · Contactparasvag@auth.gr · +306944141615
    • Evangelos Paraskevopoulos, PhD · Principal investigator
    • Panagiotis Bamidis, PhD · Sub investigator
    • Nikolaos Chalas · Sub investigator
    • Maria Karagianni, MSc · Sub investigator
08

References and documents

Publications

  • Paraskevopoulos E, Kraneburg A, Herholz SC, Bamidis PD, Pantev C. Musical expertise is related to altered functional connectivity during audiovisual integration. Proc Natl Acad Sci U S A. 2015 Oct 6;112(40):12522-7. doi: 10.1073/pnas.1510662112. Epub 2015 Sep 14. PubMed 26371305 ↗
  • Paraskevopoulos E, Kuchenbuch A, Herholz SC, Pantev C. Multisensory integration during short-term music reading training enhances both uni- and multisensory cortical processing. J Cogn Neurosci. 2014 Oct;26(10):2224-38. doi: 10.1162/jocn_a_00620. Epub 2014 Mar 26. PubMed 24669793 ↗
  • Paraskevopoulos E, Kuchenbuch A, Herholz SC, Pantev C. Musical expertise induces audiovisual integration of abstract congruency rules. J Neurosci. 2012 Dec 12;32(50):18196-203. doi: 10.1523/JNEUROSCI.1947-12.2012. PubMed 23238733 ↗

Individual participant data

Plan to share: Undecided — Individual Participant Data (IPD) will be available upon the completion of the study via personal communication. Data shared will include EEG measurements, score on behavioral and psychometric data.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Aug 2018 (actual). Primary completion is estimated for Dec 2024, 76 months after the start.

Of 62 non-industry interventional studies with no phase under Dyslexia, half reached primary completion within 24 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 57. This study's planned 76 months is above that.

Counting every sponsor, half of 69 studies reached it within 24 months; a quarter within 9 and three quarters within 57.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 20, 2018
First posted
Dec 24, 2018
StartActual
Aug 2, 2018
Primary completionEst.
Dec 31, 2024
CompletionEst.
Dec 31, 2024
Last update
Mar 1, 2024
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Mar 1, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03786185
Responsible party
Panos Bamidis (Associate Professor, Aristotle University Of Thessaloniki) — Principal investigator
First posted
Dec 24, 2018
Start date
Aug 2, 2018
Primary completion
Dec 31, 2024 (estimated)
Completion
Dec 31, 2024 (estimated)
Last update
Mar 1, 2024

Study contacts

Evangelos Paraskevopoulos, PhD
Contact
parasvag@auth.gr
+306944141615
Nikolaos Chalas
Contact
nichalas@auth.gr
+306981505249
Evangelos Paraskevopoulos, PhD
principal investigator · Research Associate

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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