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RecruitingNCT07885020NEURO-ISUpdated Oct 21, 2026

NEURO-IS: Neurophysiology of Inner Speech Across Neurotypical Participants.

An interventional study of Inner Experience Induction Tasks and hdEEG in Healthy Volunteer, Inner Speech and Visual Mental Imagery, sponsored by University of Liege. Recruiting at 1 site in Belgium. Open to participants aged 18 Years to 70 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-21.

Sponsored by University of Liege · Not applicable, Interventional, and Basic science

Updated Oct 21, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
35
Allocation
Not applicable
Ages
18 Years to 70 Years
Sex
All
01

Study summary

The purpose of this study is to investigate the brain activity associated with two common inner experiences: visual mental imagery (mentally seeing objects or actions) and inner speech (experiencing language without speaking out loud). Researchers aim to identify the most effective tasks to generate robust and detectable brain signals (EEG biomarkers) for these experiences in healthy adults. Participants will complete questionnaires and perform specific mental tasks, such as silently repeating words or imagining movements and faces, while their brain activity is recorded using high-density electroencephalography (hdEEG). These tasks will be compared to resting and passive listening conditions to better understand the relationship between inner experiences, self-awareness, and neurophysiology.

Read the detailed description

Background and scientific rationale :

The most frequently reported subjective experiences in the general population are visual mental imagery (VMI) and inner speech (IS). VMI refers to the ability to mentally "see" objects or actions in their physical absence, while IS is defined as the subjective experience of language without overt articulation. IS presents several phenomenological aspects, such as condensation, evaluative aspects, dialogic properties, and the involvement of others. It has been associated with high-level consciousness, self-reflection, and metacognition. Previous studies have identified EEG biomarkers reflecting the induction of both IS (e.g., N400, theta, beta, and gamma bands) and VMI (e.g., alpha band desynchronization, anterior negativity). The primary objective of this study is to determine which neurophysiological biomarkers resulting from the induction of these inner experience tasks are the most robust.

Study hypotheses :

The research is driven by three main hypotheses:

  1. Mentally reciting a word will provide robust EEG biomarkers of IS (stable modulations in the beta and gamma bands), particularly in comparison with the passive listening of that same word.
  2. A lower reflective consciousness will be associated with an overall reduction in the use of IS.
  3. The condensation dimension of IS will be negatively correlated with reflective consciousness, whereas the dialogic dimension will be positively associated with levels of reflective consciousness.

General experimental plan :

The study will enroll neurotypical conscious adult participants. The experimental session involves both behavioral and neurophysiological assessments. First, participants will complete validated questionnaires evaluating self-consciousness and inner experiences, including the Short French Meta-Cognitions Questionnaire (MCQ-30), the Rumination-Reflection Questionnaire (RRQ), the Varieties of Inner Speech Questionnaire-Revised (VISQ-R), and the Vividness of Visual Imagery Questionnaire (VVIQ).

Following a training phase, participants will undergo high-density electroencephalography (hdEEG) recording during resting state and experimental tasks. The paradigms consist of four mental imagery conditions:

  • IS (auditory presentation): Mentally repeating a word heard orally.
  • IS (visual presentation): Mentally repeating a written word presented on a screen.
  • VMI (hand movement): Mentally visualizing opening and closing the right hand.
  • VMI (face imagery): Mentally visualizing a face. These tasks are designed to isolate specific cognitive constraints, with strictly controlled trials composed of a stimulus presentation followed by an action phase. A 5 minute passive listening period of an audio story comprising the target words will serve as a control condition to capture baseline electrophysiological activity during passive semantic processing.

After each main task block, participants will retrospectively evaluate their subjective experiences using visual analog scales (VAS) to assess task success, modality used, generated content, perceived difficulty, and modality mixing.

Data analyses will investigate behavioral measures and neurophysiological signatures (such as beta and gamma bands for IS, and alpha band for VMI) using standard statistical approaches. In an exploratory approach, a deep learning model based on a Convolutional Neural Network (CNN) will also be tested to classify EEG signals reflecting IS or VMI.

Clinical perspectives :

The investigation of these inner experiences and their biomarkers opens long-term clinical applications. For patients with aphasia, these tools could help determine if IS is preserved despite the loss of overt speech, and explore its potential impact on anosognosia. Additionally, for patients with disorders of consciousness, these neurophysiological tools could offer the opportunity to investigate "hidden cognition", ultimately contributing to reducing clinical diagnostic errors.

02

Conditions studied

  • Healthy Volunteer
  • Inner Speech
  • Visual Mental Imagery

Keywords

  • Inner Speech
  • Visual Mental Imagery
  • Electroencephalography
  • Metacognition
  • Inner Experiences
03

In context

Lead sponsor

University of Liege is the lead sponsor of 250 studies on the registry; 49 are open to participants now.

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

04

Who can participate

Ages eligible
18 Years to 70 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Be aged 18 to 70.
  • Have French as a native language.

Exclusion criteria

Exclusion Criteria:

  • Presence of a neurological or psychiatric disorder.
  • Presence of an uncorrected sensory deficit.
  • Use of medications acting on the central nervous system.
05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
35 participants (estimated)

Study arms

  • Experimental
    Healthy Volunteers

    Participants undergo a single experimental session. They first complete behavioral questionnaires evaluating self-consciousness and inner experiences (MCQ-30, RRQ, VISQ-R, VVIQ). Following a training phase, their brain activity is recorded using high-density electroencephalography (hdEEG). During the EEG recording, they perform cognitive tasks designed to induce inner speech (auditory and visual presentation of words) and visual mental imagery (imagining hand movements and familiar faces). Resting state and passive listening conditions are also recorded as baselines. Finally, they evaluate their subjective experience using visual analog scales.

    Behavioral: Inner Experience Induction Tasks and hdEEG

Interventions

  • BehavioralInner Experience Induction Tasks and hdEEG

    The intervention consists of performing specific mental tasks to induce inner speech (mentally repeating heard or read words) and visual mental imagery (mentally visualizing a hand movement or a loved one's face). These tasks are performed while high-density EEG (hdEEG) is recorded. The protocol also includes a resting state period, a passive listening control condition, and the completion of psychological questionnaires (MCQ-30, RRQ, VISQ-R, VVIQ).

06

What researchers measure

Primary outcomes

  1. Modulation of EEG spectral power (Alpha, Beta, and Gamma bands)

    The primary evaluation relies on the analysis of high-density EEG signals in response to the induction of inner experiences. Specifically, the analysis will focus on identifying the most robust paradigms by examining specific EEG characteristics: modulation in the beta and gamma frequency bands for Inner Speech (IS), and alpha band desynchronization for Visual Mental Imagery (VMI). The goal is to identify the most appropriate and effective tasks to generate these detectable biomarkers.

    Time frame: Day 1

Secondary outcomes

  1. Difference in EEG biomarkers between passive listening and active mental repetition

    Investigating the neurophysiological correlates of the passive listening of words in comparison with their silent repetition (Inner Speech). This involves a comparative analysis of EEG biomarkers between these different tasks to determine the specific electrophysiological signatures of active mental generation versus passive semantic processing.

    Time frame: Day 1

  2. Correlation between self-consciousness scores and phenomenological dimensions of inner speech

    To better understand the links between self-consciousness and the phenomenological components of inner speech. Self-consciousness will be evaluated using the Short French Meta-Cognitions Questionnaire (MCQ-30) and the Rumination-Reflection Questionnaire (RRQ). These scores will be correlated with the detailed profile of inner experiences obtained through the Varieties of Inner Speech Questionnaire-Revised (VISQ-R) and the Vividness of Visual Imagery Questionnaire (VVIQ). A specific aim is to evaluate whether increased reflective consciousness is positively correlated with the dialogic and evaluative/critical dimensions of inner speech.

    Time frame: Day 1

07

Study locations

1 of 1 sites recruiting
  • Université de Liège - GIGA Institute (Coma Science Group)
    Liège, Wallonia 4020, Belgium
    • Olivia Gosseries, PhD · Contact · ogosseries@uliege.be · +32 4 323 36 14
    • Anaïs Gillet, Master · Contact · agillet@uliege.be · +32 4 323 36 14
    • Olivia Gosseries, PhD · Principal investigator
    • Charlène Aubinet, PhD · Sub investigator
    Recruiting
08

References and documents

Publications

  • Whitford TJ, Spencer KM, Godwin M, Hirano Y, Chung LK, Vodovozov W, Griffiths O, Harris AWF, Le Pelley ME, Jack BN. Gamma and Theta/Alpha-Band Oscillations in the Electroencephalogram Distinguish the Content of Inner Speech. eNeuro. 2025 Feb 10;12(2):ENEURO.0297-24.2025. doi: 10.1523/ENEURO.0297-24.2025. Print 2025 Feb. PubMed 39843220 ↗
  • Stephan F, Saalbach H, Rossi S. The Brain Differentially Prepares Inner and Overt Speech Production: Electrophysiological and Vascular Evidence. Brain Sci. 2020 Mar 4;10(3):148. doi: 10.3390/brainsci10030148. PubMed 32143405 ↗
  • Fama ME, Turkeltaub PE. Inner Speech in Aphasia: Current Evidence, Clinical Implications, and Future Directions. Am J Speech Lang Pathol. 2020 Feb 21;29(1S):560-573. doi: 10.1044/2019_AJSLP-CAC48-18-0212. Epub 2019 Sep 13. PubMed 31518502 ↗
  • Schendan HE, Ganis G. Electrophysiological potentials reveal cortical mechanisms for mental imagery, mental simulation, and grounded (embodied) cognition. Front Psychol. 2012 Sep 14;3:329. doi: 10.3389/fpsyg.2012.00329. eCollection 2012. PubMed 23049515 ↗
  • Villena-Gonzalez M, Palacios-Garcia I, Rodriguez E, Lopez V. Beta Oscillations Distinguish Between Two Forms of Mental Imagery While Gamma and Theta Activity Reflects Auditory Attention. Front Hum Neurosci. 2018 Sep 25;12:389. doi: 10.3389/fnhum.2018.00389. eCollection 2018. PubMed 30337865 ↗
  • van der Stelt CM, Fama ME, Mccall JD, Snider SF, Turkeltaub PE. Intellectual awareness of naming abilities in people with chronic post-stroke aphasia. Neuropsychologia. 2021 Sep 17;160:107961. doi: 10.1016/j.neuropsychologia.2021.107961. Epub 2021 Jul 16. PubMed 34274379 ↗
  • Trapnell PD, Campbell JD. Private self-consciousness and the five-factor model of personality: distinguishing rumination from reflection. J Pers Soc Psychol. 1999 Feb;76(2):284-304. doi: 10.1037//0022-3514.76.2.284. PubMed 10074710 ↗
  • Thut G, Nietzel A, Brandt SA, Pascual-Leone A. Alpha-band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection. J Neurosci. 2006 Sep 13;26(37):9494-502. doi: 10.1523/JNEUROSCI.0875-06.2006. PubMed 16971533 ↗
  • Skipper JI. A voice without a mouth no more: The neurobiology of language and consciousness. Neurosci Biobehav Rev. 2022 Sep;140:104772. doi: 10.1016/j.neubiorev.2022.104772. Epub 2022 Jul 11. PubMed 35835286 ↗
  • Raij TT, Riekki TJJ. Dorsomedial prefontal cortex supports spontaneous thinking per se. Hum Brain Mapp. 2017 Jun;38(6):3277-3288. doi: 10.1002/hbm.23589. Epub 2017 Mar 31. PubMed 28370735 ↗
  • Proverbio AM, Tacchini M, Jiang K. What do you have in mind? ERP markers of visual and auditory imagery. Brain Cogn. 2023 Mar;166:105954. doi: 10.1016/j.bandc.2023.105954. Epub 2023 Jan 17. PubMed 36657242 ↗
  • Pratts J, Pobric G, Yao B. Bridging phenomenology and neural mechanisms of inner speech: ALE meta-analysis on egocentricity and spontaneity in a dual-mechanistic framework. Neuroimage. 2023 Nov 15;282:120399. doi: 10.1016/j.neuroimage.2023.120399. Epub 2023 Oct 11. PubMed 37827205 ↗
  • Papathanassiou D, Etard O, Mellet E, Zago L, Mazoyer B, Tzourio-Mazoyer N. A common language network for comprehension and production: a contribution to the definition of language epicenters with PET. Neuroimage. 2000 Apr;11(4):347-57. doi: 10.1006/nimg.2000.0546. PubMed 10725191 ↗
  • Morin A. Levels of consciousness and self-awareness: A comparison and integration of various neurocognitive views. Conscious Cogn. 2006 Jun;15(2):358-71. doi: 10.1016/j.concog.2005.09.006. Epub 2005 Nov 2. PubMed 16260154 ↗
  • Lee SH, Lee M, Lee SW. Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication. IEEE Trans Neural Syst Rehabil Eng. 2020 Dec;28(12):2647-2659. doi: 10.1109/TNSRE.2020.3040289. Epub 2021 Jan 28. PubMed 33232243 ↗
  • Langland-Hassan P, Gauker C, Richardson MJ, Dietz A, Faries FR. Metacognitive deficits in categorization tasks in a population with impaired inner speech. Acta Psychol (Amst). 2017 Nov;181:62-74. doi: 10.1016/j.actpsy.2017.10.004. Epub 2017 Oct 25. PubMed 29054044 ↗
  • Landry C, Lessard L, Saint-Louis J, Gosselin F, Charest I, Taschereau-Dumouchel V, Vallet GT. A French Canadian adaptation and validation of the Vividness of Visual Imagery Questionnaire and Plymouth Sensory Imagery Questionnaire. Can J Exp Psychol. 2026 Sep;80(3):208-221. doi: 10.1037/cep0000392. Epub 2025 Dec 15. PubMed 41396509 ↗
  • Jack BN, Le Pelley ME, Han N, Harris AWF, Spencer KM, Whitford TJ. Inner speech is accompanied by a temporally-precise and content-specific corollary discharge. Neuroimage. 2019 Sep;198:170-180. doi: 10.1016/j.neuroimage.2019.04.038. Epub 2019 Apr 16. PubMed 31002966 ↗
  • Heavey CL, Hurlburt RT. The phenomena of inner experience. Conscious Cogn. 2008 Sep;17(3):798-810. doi: 10.1016/j.concog.2007.12.006. Epub 2008 Feb 6. PubMed 18258456 ↗
  • Gulyas B. Neural networks for internal reading and visual imagery of reading: a PET study. Brain Res Bull. 2001 Feb;54(3):319-28. doi: 10.1016/s0361-9230(00)00441-x. PubMed 11287137 ↗
  • Grandchamp R, Rapin L, Perrone-Bertolotti M, Pichat C, Haldin C, Cousin E, Lachaux JP, Dohen M, Perrier P, Garnier M, Baciu M, Loevenbruck H. The ConDialInt Model: Condensation, Dialogality, and Intentionality Dimensions of Inner Speech Within a Hierarchical Predictive Control Framework. Front Psychol. 2019 Sep 18;10:2019. doi: 10.3389/fpsyg.2019.02019. eCollection 2019. PubMed 31620039 ↗
  • Farah MJ, Weisberg LL, Monheit M, Peronnet F. Brain Activity Underlying Mental Imagery: Event-related Potentials During Mental Image Generation. J Cogn Neurosci. 1989 Fall;1(4):302-16. doi: 10.1162/jocn.1989.1.4.302. PubMed 23971982 ↗
  • Delamillieure P, Doucet G, Mazoyer B, Turbelin MR, Delcroix N, Mellet E, Zago L, Crivello F, Petit L, Tzourio-Mazoyer N, Joliot M. The resting state questionnaire: An introspective questionnaire for evaluation of inner experience during the conscious resting state. Brain Res Bull. 2010 Apr 5;81(6):565-73. doi: 10.1016/j.brainresbull.2009.11.014. Epub 2009 Dec 7. PubMed 20003916 ↗
  • Chung LK, Jack BN, Griffiths O, Pearson D, Luque D, Harris AWF, Spencer KM, Le Pelley ME, So SH, Whitford TJ. Neurophysiological evidence of motor preparation in inner speech and the effect of content predictability. Cereb Cortex. 2023 Dec 9;33(24):11556-11569. doi: 10.1093/cercor/bhad389. PubMed 37943760 ↗
  • Booth JR, Burman DD, Meyer JR, Gitelman DR, Parrish TB, Mesulam MM. Relation between brain activation and lexical performance. Hum Brain Mapp. 2003 Jul;19(3):155-69. doi: 10.1002/hbm.10111. PubMed 12811732 ↗
  • Alderson-Day B, Mitrenga K, Wilkinson S, McCarthy-Jones S, Fernyhough C. The varieties of inner speech questionnaire - Revised (VISQ-R): Replicating and refining links between inner speech and psychopathology. Conscious Cogn. 2018 Oct;65:48-58. doi: 10.1016/j.concog.2018.07.001. Epub 2018 Jul 13. PubMed 30041067 ↗

Individual participant data

Plan to share: Undecided — In accordance with the study protocol and the informed consent form approved by the local Ethics Committee, access to the data is strictly restricted to the authorized researchers of the GIGA-Consciousness research unit directly involved in this study. To ensure strict participant confidentiality and full compliance with the European General Data Protection Regulation (GDPR), individual participant data (IPD) might not be shared with external researchers or third parties.

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for Oct 2026; primary completion for Oct 2027, 12 months later.

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

Registered
Oct 13, 2026
First posted
Oct 21, 2026
StartEst.
Oct 5, 2026
Primary completionEst.
Oct 31, 2027
CompletionEst.
Oct 31, 2027
Last update
Oct 21, 2026
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.
Registered
First appeared on the registry. No changes since
Oct 21, 2026
Show all 1 update
  1. Oct 21, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07885020
Responsible party
Olivia Gosseries (Dr. Olivia Gosseries, University of Liege) — Principal investigator
First posted
Oct 21, 2026
Start date
Oct 5, 2026 (estimated)
Primary completion
Oct 31, 2027 (estimated)
Completion
Oct 31, 2027 (estimated)
Last update
Oct 21, 2026

Study contacts

Olivia Gosseries, PhD
Contact
ogosseries@uliege.be
+32 4 323 36 14
Anaïs Gillet, Master
Contact
agillet@uliege.be
+32 4 323 36 14
Olivia Gosseries, PhD
principal investigator · University of Liege

Oversight

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

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