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NCT Number: NCT07749378

Investigating the Mechanisms of Decision-Making Using Non-Invasive Brain Stimulation

This study aims to investigate which of two brain regions is important for which decision-making strategy. The investigators suppose that one brain region - the *striatum* - is important for repeatedly choosing objects that have previously been paired with rewards (strategy 1). They suppose that a different region - the *hippocampus* - is important for extending such reasoning to RELATED objects (strategy 2).

The investigators will repeatedly ask young and healthy subjects to choose between two objects. The two objects are repeatedly drawn from a pool of seven. Relations between the seven objects have been learned on the first day of the experiment. The investigators will record subjects' choices and will use an automated way to assess the extent to which any given subject uses either decision-making strategy.

* On one day, subjects will perform the task while their right hippocampus is being stimulated with non-invasive electrical stimulation ("condition A"). * On another day, subjects will perform the same task but with their striatum being stimulated ("condition B"). * On yet another day, a control stimulation ("condition C") will be applied that looks and feels like the real stimulation but does not influence brain activity.

Which stimulation (A, B, C) happens on which day is assigned by computer code and differs between subjects. Subjects do not know, and investigators mostly do not know, whether real or control stimulation is applied on each day.

The investigators will check whether subjects use strategy 1 more when their striatum is being stimulated and strategy 2 more when their hippocampus is being stimulated, as compared to when the control stimulation is applied.

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Key information

Age range

18 year–40 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University Hospital Würzburg (UKW)

Würzburg, Bavaria, 97080, Germany

Location status: Recruiting

Location contact

Jana S. Ludwig, M. Sc.

CONTACT

[email protected]

0049 931 3183395

Maximilian J. Wessel, Prof. Dr.

PRINCIPAL_INVESTIGATOR

Mona M. Garvert, Prof. Dr.

PRINCIPAL_INVESTIGATOR

About this study

The purpose of this study is to isolate the roles of hippocampal formation versus striatum in cognitive map-based versus stimulus-outcome learning-based decision-making. The study consists of four sessions on four consecutive days: an initial learning session and three decision-making sessions under three different non-invasive brain stimulation conditions.

Decision-making will be observed in a choice task, where young and healthy adults will be presented with two out of seven stimuli on any given trial. They will be asked to choose one of both so as to maximize their reward. The reward value of the chosen stimulus is displayed after the choice has been made. Different stimuli's reward values are related to each other following latent relations between stimuli learned during the subject's first experimental session. Throughout the choice task, reward values shift from time to time without notice, but always respecting the latent structure between stimuli. Subjects can most successfully adapt to these spontaneous shifts if they use the relational knowledge acquired during session 1 (map-based generalization), whereas learning the new reward values one-by-one will cost more time/trials (stimulus-outcome association learning).

During the choice task, neural activity will be upregulated using transcranial temporal interference stimulation (tTIS; Grossman et al., 2017; Vassiliadis et al., 08/2024), specifically, intermittent theta-burst stimulation (iTBS; Beanato, Moon et al., 2024; Wessel, Beanato et al., 2023). Subjects will undergo hippocampal tTIS in one session, striatal tTIS in another session, and high-frequency control stimulation in yet another session. The order of conditions is pseudorandomized and counterbalanced across subjects. For blinding, see "Study Design". Shifts in cognitive map-based versus stimulus-outcome association-based decision-making will be analyzed as a function of stimulation condition using computational modeling of choice data.

Assuming a causal role of the hippocampal formation in cognitive map-based behavior (Garvert et al., 2017) and of the striatum in stimulus-outcome learning (Gläscher et al., 2010), a double dissociation may be expected: upregulating hippocampal activity should boost map-based over stimulus-outcome association-based decision-making, whereas upregulating striatal activity should produce the opposite effect (always as compared to the high-frequency control stimulation).

Hypotheses formulated in this registration are theoretically motivated and partly supported by online behavioral pilot data that will not be included in any analyses. At first submission of this registration, data collection is ongoing. The collected data has been inspected for quality control but has neither been used to generate hypotheses nor to test these (except navigation and proximity judgment task accuracy has been inspected to ensure successful learning). Investigators are partly blind to stimulation condition (see "Study Design"), and no stimulation condition-dependent analyses have been conducted before submission of this registration.

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

  • No diagnosis of any neurological or psychiatric disease

Exclusion criteria

  • Severe neuropsychiatric or unstable systemic disease
  • Severe sensory or cognitive impairment or musculoskeletal dysfunction that would prevent subjects from understanding the task instructions or executing the tasks
  • Implanted medical devices
  • Diagnosis of epilepsy or history of one or more epileptic seizure(s)
  • Pieces of metal in/around the head
  • Regular consumption of narcotics (also excluded: cannabis within past month, alcohol abuse or dependence)
  • Pregnancy and breast feeding
  • Incapability of giving informed consent
  • Left-handedness

Subjects included in the study will be excluded from analyses if their datasets are incomplete. To ensure full counterbalancing, excluded subjects will be replaced by new ones.

Treatment and study plan

Hippocampal intermittent-theta burst stimulation

Device

Transcranial temporal interference stimulation using intermittent theta-burst protocol and targeting right hippocampus. Unlike the striatal set-up, the hippocampal electrode set-up is asymmetrical and can only stimulate unilaterally (Beanato, Moon et al., 2024; Violante et al., 2023). In the present study, *right* hippocampus is targeted because it showed cognitive map-compatible activity in a similar task in a previous study (Garvert et al., 2023) and because it has been suggested to be involved in map-based navigation (Iglói et al., 2010).

Striatal intermittent-theta burst stimulation

Device

Transcranial temporal interference stimulation using intermittent theta-burst protocol and targeting bilateral striatum.

High-frequency control stimulation with striatal electrode set-up

Device

Analoguous to transcranial temporal interference stimulation except both high-frequency electric fields are oscillating at the exact same frequency, meaning there is no biologically active envelope modulation. This high-frequency stimulation is applied with the striatal electrode set-up in 50 % of the subjects (hippocampal set-up in the other 50 %). No stimulation actually occurs because the stimulation frequency is too high to be biologically active (Grossman et al., 2017).

High-frequency control stimulation with hippocampal electrode set-up

Device

Analoguous to transcranial temporal interference stimulation except both high-frequency electric fields are oscillating at the exact same frequency, meaning there is no biologically active envelope modulation. This high-frequency stimulation is applied with the hippocampal electrode set-up in 50 % of the subjects (striatal set-up in the other 50 %). No stimulation actually occurs because the stimulation frequency is too high to be biologically active (Grossman et al., 2017).

Primary outcomes

  1. Weight between map-based generalization and stimulus-outcome association-based decision-making

    Time frame: Days 2-4.

    "Weight" references a parameter that is extracted from recorded choice behavior by means of computational modeling. Three basic models (one map-based, two stimulus-outcome association-based) are fit to each subject's choice data from each session. Two hybrid models - combining the map-based with either of the stimulus-outcome association-based components - are also fit. The weight parameter will be extracted from the hybrid model that fits most subjects' behavior best under the control condition (high-frequency stimulation). It describes the extent to which the subject relies on the map-based relative to the association-based component/strategy for making their choices.

    Given the presumed roles of hippocampus in map-based and striatum in association-based decision-making, the investigators expect the weight parameter to increase under hippocampal tTIS and to decrease under striatal tTIS relative to high-frequency control stimulation.

Secondary outcomes

  1. Choice accuracy

    Time frame: Days 2-4.

    Whether, out of two simultaneously presented stimuli, the one associated with the higher reward has been chosen on a given trial.

    Early after a shift in reward contingencies, using a map-based strategy should increase the probability of choosing correctly. This is because the new reward contingencies may not have been experienced yet (disabling association-based strategies) and so can only be inferred (requiring map-based strategies). Both strategies should be equally successful later after a shift once all new contingencies have been experienced. Averaged across all trials, the investigators therefore expect to observe higher accuracy under hippocampal and lower accuracy under striatal tTIS as compared to control stimulation. The investigators also expect subjects' individual choice accuracies to positively correlate with their map-based weight parameter estimates.

  2. Choice response time

    Time frame: Days 2-4.

    Time between presentation of the two stimuli for the present trial and the subject's choice of one of the two stimuli.

    The investigators will analyze the effects of hippocampal and striatal tTIS as compared to control stimulation on response time in an exploratory manner.

  3. Proportion of subjects best fit by different computational models

    Time frame: Days 2-4.

    Different candidate models are fit to the recorded choice data, two of which are on the "stimulus-outcome association-based" and one on the "map-based generalization" side. Hybrid models (= weighted sum of one stimulus-outcome association-based element and the map-based generalization element) are also fit. WAIC (Watanabe, 2010) will be used to determine which model fits which subject best under any given stimulation condition. The investigators expect the proportion of subjects best described by the map-based (association-based) model(s) to increase (decrease) under hippocampal tTIS as compared to control stimulation, with the opposite pattern showing under striatal tTIS.

    Note: Should ≥ 50 % of subjects perform at chance level in the proximity judgments in the first session (last eight blocks), the investigators will use subjects' *subjective* representations (as collected at the end of the last choice task session) instead of the objective ones as a basis for the map-based model.

  4. Influence of true and past rewards on choice

    Time frame: Days 2-4.

    The investigators will use (a) the difference in the most recently observed values of the stimuli presented to the subject's left vs. right and (b) the difference between the actual, current values of these stimuli (which may not have been observed yet) to predict whether the subject will have chosen the left vs. right stimulus. Subjects pursuing a stimulus-outcome association-based strategy will exclusively rely on directly experienced reward contingencies (strong regression weight of (a) but not (b)). Subjects generalizing across related stimuli will be able to infer a stimulus' current value even if that one has not been observed recently (strong regression weight of (b) but not (a)).

    The investigators expect the regression weights of (a) to increase and (b) to decrease under striatal tTIS (opposite under hippocampal tTIS) as compared to control stimulation.

  5. Influence of true and past rewards on choice response time

    Time frame: Days 2-4.

    The investigators will use (a) the difference in the directly experienced past values of left vs. right stimuli and (b) the difference in the actual, current reward values of left vs. right stimuli (which may not have been observed yet) as predictors of response time. Subjects should respond more quickly if the value difference is larger (less conflict). Under this assumption, a comparison of regression weights (a) and (b) will reveal whether subjects' behavior is more strongly governed by (differences in) experienced values or by (differences in) inferred true values.

    The investigators will analyze the effects of striatal and hippocampal tTIS as compared to control stimulation on the regression weights in an exploratory manner.

  6. Proximity judgment task accuracy

    Time frame: Days 1-4.

    Subjects will learn the latent relations between stimuli on the first day by means of a navigation task and a proximity judgment task (among two stimuli, identifying the one that is closest to a third). Both tasks are presented in an alternating manner. Proximity judgment task accuracy is the proportion of trials on which the closer stimulus was correctly identified. Proximity judgment task accuracy in the last 8 blocks is expected to be above chance and to increase over blocks as subjects learn the relations between stimuli. Proximity judgments are additionally collected at the beginning of the second, third, and fourth sessions *before* stimulation onset to determine subjects' current knowledge of the latent relations. Stable performances are expected across sessions 2 through 4 and between stimulation conditions. Supplementary analyses of choice behavior will be constrained to subjects with above-chance proximity judgment accuracy or include this accuracy as a covariate.

  7. Proximity judgment task response time

    Time frame: Days 1-4.

    Time between presentation of the three stimuli for the present trial and the subject's response as to which of the two options they believe to be closest to the third stimulus. This measure will be analyzed in an exploratory manner.

  8. Stimulation tolerability

    Time frame: Days 2-4.

    • Which sensations do subjects report during familiarization with the stimulation? In the familiarization, the investigators will gradually expose the subject to a current intensity of 1, 2, 3, 4 mA (summed across both channels) both for tTIS and for high-frequency control stimulation (order counterbalanced between subjects and subjects blind to type of stimulation). Subjects are asked to report the strength and type of any sensations they may experience.
    • Which side effects do subjects report relating to each of the three stimulation sessions?

    The investigators expect tTIS and high-frequency control stimulation to be tolerable (Vassiliadis et al., 03/2024).

  9. Stimulation blinding

    Time frame: Day 4.

    Are subjects' classifications of real vs. placebo stimulation for each session (as collected after the final stimulation session) correct above chance?

    The investigators expect tTIS and high-frequency control stimulation to be indistinguishable from subjects' point of view, ensuring successful blinding (Vassiliadis et al., 03/2024).

Other outcomes

  1. Gender

    Time frame: Day 1.

    Not an outcome variable but a variable that will be collected to characterize the study sample.

  2. Age

    Time frame: Day 1.

    Not an outcome variable but a variable that will be collected to characterize the study sample.

  3. Center for Epidemiological Studies Depression Scale

    Time frame: Day 1.

    German version (Hautzinger & Bailer, 2003). This is not an outcome measure but a variable that will be collected once at the beginning to characterize the study sample. It will not be analyzed as a function of stimulation condition. Sum scores range from 0 to 60, where higher scores indicate higher depressive symptom load.

  4. Edinburgh Handedness Inventory

    Time frame: Day 1.

    Oldfield (1971). German translation. This is not an outcome measure but a variable that will be collected once at the beginning to characterize the study sample. It will not be analyzed as a function of stimulation condition but will be explored as a potential moderator of stimulation effects. Per side (left and right), between 0 and 20 "+"s can be marked, where a higher number of "+"s indicates stronger use of the respective hand.

  5. Navigation task accuracy

    Time frame: Day 1.

    Subjects will learn the latent relations between stimuli on the first day by means of a navigation task (deciding whether moving forward vs. backward will yield the shortest path from one stimulus to another) and a proximity judgment task. Both tasks are presented in an alternating manner. Navigation task accuracy is the proportion of correct forward/backward choices. The investigators expect navigation task accuracy in the last 8 blocks to be above chance and to increase over blocks as subjects learn the relations between stimuli. Navigation task accuracy is further expected to correlate positively with proximity judgment task accuracy. Because the navigation task is only completed in the first study session, it cannot be analyzed as a function of stimulation condition.

  6. Navigation task response time

    Time frame: Day 1.

    Time between presentation of the two stimuli for the present trial and the subject's response as to whether moving forward vs. backward will yield the shortest path from one to the other. This measure will be analyzed in an exploratory manner.

  7. Subjective, explicit drag-and-drop arrangement of stimuli

    Time frame: Day 4.

    Subjects will be asked at the end of the final stimulation session to visualize their mental representation of stimuli by dragging and dropping those into a virtual arena on the screen. Importantly, there is a "correct" arrangement (iterative sequence of stimuli), which subjects are never fully shown but are supposed to learn through the tasks presented on Day 1. The subjective arrangement is considered fully correct if it corresponds to the true underlying arrangement.

    Supplementary analyses of choice behavior will be constrained to subjects with correct arrangements. The investigators expect the weight parameter increase under hippocampal tTIS vs. control stimulation to be more pronounced in this subsample than in the subsample with ambiguous or incorrect arrangements. The same is expected for the hippocampal tTIS-contingent increase in the influence (regression coefficient) of the true value difference on choice.

Study contacts

Contact information is provided by the study sponsor or research team.

Jana S. Ludwig, M. Sc.

CONTACT

[email protected]

0049 931 3183395

Sponsors and collaborators

Lead sponsor

Wuerzburg University Hospital

Other

Collaborators

  • University of Wuerzburg

Registry information

Official study title

Investigating the Interplay of Striatal and Hippocampal Processing in Decision-Making Using Transcranial Temporal Interference Stimulation

Acronym: StimMaps_YH

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Aug 6, 2026
Registry last updated
Aug 6, 2026

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

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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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