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The Effectiveness of Transcranial Direct Current Stimulation (tDCS) in Decreasing Food Cravings

The Effectiveness of tDCS in Decreasing Food Cravings

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01030289
Enrollment
19
Registered
2009-12-11
Start date
2009-10-31
Completion date
2010-11-30
Last updated
2018-06-20

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

Conditions

Craving

Keywords

food cravings

Brief summary

This study aims to evaluate the effectiveness of transcranial direct current stimulation (tDCS) in decreasing food cravings. Specifically, this study will determine whether healthy subjects will report decreased food craving following a single 20-minute session of tDCS (compared to sham tDCS) delivered during and immediately following the exposure to food stimuli.

Detailed description

Recently, the use of low amplitude direct current stimulation of the human cortex has received attention as a possible for treatment for depression and pain (Been et al, 2007). This technique (called transcranial direct current stimulation or tDCS) involves the placement of two sponge electrodes over separate areas of the scalp. tDCS has been shown to be capable of changing the excitability of the superficial neurons immediately beneath the sponge electrodes. Evidence suggests that anodal stimulation is associated with increased cortical excitability and cathodal stimulation is associated with decreased cortical excitability (Been et al, 2007). Brain imaging studies are beginning to elucidate the functional neuroanatomy of cravings (George, Anton, Bloomer, Teneback, Drobes, Lorberbaum, et al., 2001; Myrick, Anton, Li, Henderson, Drobes, Voronin, et al., 2004). While the role of the prefrontal cortex in regulating cravings remains somewhat unclear, frontal cortical areas appear to be involved in integrating incoming sensory information (such as sights, smells, and sounds) with affective/emotional information in the brain, and may be involved in regulating emotional reactions to various stimuli (Alexander, DeLong, & Strick, 1986; Lorenz, Minoshima, & Casey, 2003). The dorsal lateral prefrontal cortex may become activated when an individual is presented with cues that trigger reward memories associated with certain consumptive behaviors (Anton, 1999). One fMRI study found that when alcoholic subjects were presented with alcohol related cues, there was greater activation in the left prefrontal cortex and anterior thalamus, compared to when they viewed non-alcohol cues (George et al., 2001). Other studies on bulimia and drug cravings have identified hyperactivity in the orbitofrontal cortex and anterior cingulate cortex associated with increases in cravings ratings (Goldstein & Volkow, 2002; Uher, et al., 2004). Very few studies have attempted to directly manipulate activation of brain structures that might be involved in cravings. tDCS allows researchers to selectively activate or inhibit different brain structures that might play a role in craving behaviors. Previous research with manipulating the activation of brain structures found that alcohol cravings decreased among individuals with alcohol dependence who received either left or right anodal stimulation of the dorsolateral prefrontal cortex (Boggio et al., 2008). This finding, combined with prior functional neuroanatomical work, and research on the relation of food cravings and nicotine cravings suggesting they share a common biologic mechanism (Pepino, Finkbiener, Menella 2009, 2007), suggests that the prefrontal cortex may be a reasonable preliminary tDCS cortical target for potentially inhibiting food cravings. To date, there has only been one published study examining the relationship between tDCS and food craving. Fregni and colleagues (2008) found cravings to be reduced by anode right/cathode left tDCS and cravings did not increase after anode left/cathode right tDCS. The evidence on the effectiveness of tDCS for decreasing food craving indicates relatively short-lived effects (lasting only a few weeks). While this may ultimately limit the utility of tDCS, it may have a place in the prevention and management of obesity. This study aims to evaluate the effectiveness of transcranial direct current stimulation (tDCS) in decreasing food cravings. Specifically, this study will determine whether healthy subjects will report decreased food craving following a single 20-minute session of tDCS (compared to sham tDCS) delivered during and immediately following the exposure to food stimuli.

Interventions

DEVICEreal tDCS

transcranial direct current stimulation

DEVICEsham tDCS

transcranial direct current stimulation

Sponsors

Medical University of South Carolina
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
OTHER
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
21 Years to 70 Years
Healthy volunteers
Yes

Inclusion criteria

* 21-70 years of age

Exclusion criteria

* pregnant * history of seizures or epilepsy * family history or seizures * history of eating disorder * history of depression * taking medications that have been shown to lower seizure threshold * metal implanted above the waist * history of autoimmune or endocrine disorders * diabetes * allergy to latex * allergy to peanuts * brain tumors or lesions

Design outcomes

Primary

MeasureTime frameDescription
Food Cravingsbefore treatment, after treatmentTwenty-four images of food were presented in random order using a custom developed computer program. While viewing the food images, participants used a computerized visual analog scale to rate how much they would like to eat each food right now if it were actually available to them, how much they liked the food, and how much would they be able to resist tasting the food if it were in front of them. They viewed the pictures and rated before treatment and after real tDCS and Sham tDCS. The scale ranged from 0 (no food cravings) to 100 (extreme food cravings). The before treatment after treatment food craving ratings were used to calculate percent change.

Secondary

MeasureTime frameDescription
Cravings for Sweet Foodsbefore treatment, after treatmentTwenty-four images of food were presented in random order using a custom developed computer program. While viewing the food images, participants used a computerized visual analog scale to rate how much they would like to eat each food right now if it were actually available to them, how much they liked the food, and how much would they be able to resist tasting the food if it were in front of them. They viewed the pictures and rated before treatment and after real tDCS and Sham tDCS. The scale ranged from 0 (no sweet food cravings) to 100 (extreme sweet food cravings). The before treatment after treatment ratings for sweet food craving were used to calculate percent change.
Cravings for Carbohydrate Foodsbefore treatment, during treatment, after treatmentTwenty-four images of food were presented in random order using a custom developed computer program. While viewing the food images, participants used a computerized visual analog scale to rate how much they would like to eat each food right now if it were actually available to them, how much they liked the food, and how much would they be able to resist tasting the food if it were in front of them. They viewed the pictures and rated before treatment, during, and after real tDCS and Sham tDCS. The scale ranged from 0 (no food cravings) to 100 (extreme food cravings). The before treatment, during treatment, and after treatment ratings for carbohydrates were used to calculate percent change.
Inability to Resist Food and tDCS Conditionbefore treatment, during treatment, after treatmentTwenty-four images of food were presented in random order using a custom developed computer program. While viewing the food images, participants used a computerized visual analog scale to rate how much they would like to eat each food right now if it were actually available to them, how much they liked the food, and how much would they be able to resist tasting the food if it were in front of them. They viewed the pictures and rated before, during, and after real tDCS and Sham tDCS. The scale ranged from 0 (no food cravings, completely resist food) to 100 (extreme food cravings, unable to resist food). The before treatment, during treatment, and after treatment resist ratings for carbohydrates were used to calculate percent change.
Food Ingested and tDCS ConditionAfter treatmentFood was presented on a plate for the participants to eat after treatment. Each participant received a Chocolate Plate, Donut Plate, Cookie Plate, and a Potatoe Chip Plate. Each participant received the same amount of food on each plate. Each plate was weighed in grams separately before and after eating the food. A difference score was calculated to determine how much food was eaten for each type of food. The mean difference score was calculated for each type of food for the Sham tDCS group & the Real tDCS group. The means and standard deviations of percent change in the decrease of food (weighed in grams) ingested post-tDCS treatment are reported below for the real tDCS group and the sham tDCS group.
Confidence Ratings in Guessing of Treatment ConditionAfter treatmentAt the end of the participants' second appointment, they were asked to guess which tDCS session was real and which was sham. 0=completely guessing. 10=absolutely sure. We calculated how many participants correctly guessed when they received real and when they received sham. A composite index was created to control for correct-guessing in the mixed model analysis. A new variable was created wherein the guess correct value (0=incorrect guess, 1=correct guess) was multiplied by the guess confidence rating for each participant. Thus, those that guess incorrectly had a guess-composite value of 0 whereas those that guessed correctly had a value equal to their guess confidence.

Countries

United States

Participant flow

Participants by arm

ArmCount
All Study Participants
All participants enrolled in the study
19
Total19

Baseline characteristics

CharacteristicAll Study Participants
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
4 Participants
Age, Categorical
Between 18 and 65 years
15 Participants
Age, Continuous32.47 years
STANDARD_DEVIATION 10.85
Region of Enrollment
United States
19 participants
Sex: Female, Male
Female
13 Participants
Sex: Female, Male
Male
6 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 190 / 19
other
Total, other adverse events
0 / 190 / 19
serious
Total, serious adverse events
0 / 190 / 19

Outcome results

Primary

Food Cravings

Twenty-four images of food were presented in random order using a custom developed computer program. While viewing the food images, participants used a computerized visual analog scale to rate how much they would like to eat each food right now if it were actually available to them, how much they liked the food, and how much would they be able to resist tasting the food if it were in front of them. They viewed the pictures and rated before treatment and after real tDCS and Sham tDCS. The scale ranged from 0 (no food cravings) to 100 (extreme food cravings). The before treatment after treatment food craving ratings were used to calculate percent change.

Time frame: before treatment, after treatment

ArmMeasureValue (MEAN)Dispersion
Real tDCSFood Cravings-26.81 percentage of change in cravingsStandard Deviation 26.11
Sham tDCSFood Cravings-7.8 percentage of change in cravingsStandard Deviation 41.87
Secondary

Confidence Ratings in Guessing of Treatment Condition

At the end of the participants' second appointment, they were asked to guess which tDCS session was real and which was sham. 0=completely guessing. 10=absolutely sure. We calculated how many participants correctly guessed when they received real and when they received sham. A composite index was created to control for correct-guessing in the mixed model analysis. A new variable was created wherein the guess correct value (0=incorrect guess, 1=correct guess) was multiplied by the guess confidence rating for each participant. Thus, those that guess incorrectly had a guess-composite value of 0 whereas those that guessed correctly had a value equal to their guess confidence.

Time frame: After treatment

ArmMeasureValue (MEAN)Dispersion
Real tDCSConfidence Ratings in Guessing of Treatment Condition6.45 units on a scaleStandard Deviation 2.7
Secondary

Cravings for Carbohydrate Foods

Twenty-four images of food were presented in random order using a custom developed computer program. While viewing the food images, participants used a computerized visual analog scale to rate how much they would like to eat each food right now if it were actually available to them, how much they liked the food, and how much would they be able to resist tasting the food if it were in front of them. They viewed the pictures and rated before treatment, during, and after real tDCS and Sham tDCS. The scale ranged from 0 (no food cravings) to 100 (extreme food cravings). The before treatment, during treatment, and after treatment ratings for carbohydrates were used to calculate percent change.

Time frame: before treatment, during treatment, after treatment

ArmMeasureGroupValue (MEAN)Dispersion
Real tDCSCravings for Carbohydrate Foodsbefore treatment to during treatment-24.41 percentage of change in cravingsStandard Deviation 41.67
Real tDCSCravings for Carbohydrate Foodsbefore treatment to after treatment-25.45 percentage of change in cravingsStandard Deviation 45.6
Sham tDCSCravings for Carbohydrate Foodsbefore treatment to during treatment22.10 percentage of change in cravingsStandard Deviation 79.12
Sham tDCSCravings for Carbohydrate Foodsbefore treatment to after treatment14.87 percentage of change in cravingsStandard Deviation 70.12
Secondary

Cravings for Sweet Foods

Twenty-four images of food were presented in random order using a custom developed computer program. While viewing the food images, participants used a computerized visual analog scale to rate how much they would like to eat each food right now if it were actually available to them, how much they liked the food, and how much would they be able to resist tasting the food if it were in front of them. They viewed the pictures and rated before treatment and after real tDCS and Sham tDCS. The scale ranged from 0 (no sweet food cravings) to 100 (extreme sweet food cravings). The before treatment after treatment ratings for sweet food craving were used to calculate percent change.

Time frame: before treatment, after treatment

ArmMeasureValue (MEAN)Dispersion
Real tDCSCravings for Sweet Foods-30.5 percentage of change in cravingsStandard Deviation 23.03
Sham tDCSCravings for Sweet Foods-0.95 percentage of change in cravingsStandard Deviation 59.85
Secondary

Food Ingested and tDCS Condition

Food was presented on a plate for the participants to eat after treatment. Each participant received a Chocolate Plate, Donut Plate, Cookie Plate, and a Potatoe Chip Plate. Each participant received the same amount of food on each plate. Each plate was weighed in grams separately before and after eating the food. A difference score was calculated to determine how much food was eaten for each type of food. The mean difference score was calculated for each type of food for the Sham tDCS group & the Real tDCS group. The means and standard deviations of percent change in the decrease of food (weighed in grams) ingested post-tDCS treatment are reported below for the real tDCS group and the sham tDCS group.

Time frame: After treatment

ArmMeasureGroupValue (MEAN)Dispersion
Real tDCSFood Ingested and tDCS ConditionCookies7.3 percent change in grams of food ingestedStandard Deviation 12.7
Real tDCSFood Ingested and tDCS ConditionPotato Chips6.7 percent change in grams of food ingestedStandard Deviation 9.1
Real tDCSFood Ingested and tDCS ConditionDonuts9.1 percent change in grams of food ingestedStandard Deviation 16.8
Real tDCSFood Ingested and tDCS ConditionChocolate2.7 percent change in grams of food ingestedStandard Deviation 2.8
Sham tDCSFood Ingested and tDCS ConditionDonuts7.0 percent change in grams of food ingestedStandard Deviation 11.5
Sham tDCSFood Ingested and tDCS ConditionChocolate3.9 percent change in grams of food ingestedStandard Deviation 6.4
Sham tDCSFood Ingested and tDCS ConditionPotato Chips11.2 percent change in grams of food ingestedStandard Deviation 14
Sham tDCSFood Ingested and tDCS ConditionCookies7.2 percent change in grams of food ingestedStandard Deviation 11.6
Secondary

Inability to Resist Food and tDCS Condition

Twenty-four images of food were presented in random order using a custom developed computer program. While viewing the food images, participants used a computerized visual analog scale to rate how much they would like to eat each food right now if it were actually available to them, how much they liked the food, and how much would they be able to resist tasting the food if it were in front of them. They viewed the pictures and rated before, during, and after real tDCS and Sham tDCS. The scale ranged from 0 (no food cravings, completely resist food) to 100 (extreme food cravings, unable to resist food). The before treatment, during treatment, and after treatment resist ratings for carbohydrates were used to calculate percent change.

Time frame: before treatment, during treatment, after treatment

ArmMeasureGroupValue (MEAN)Dispersion
Real tDCSInability to Resist Food and tDCS Conditionbefore treatment to during treatment26.79 percentage of change in resist ratingsStandard Deviation 33.71
Real tDCSInability to Resist Food and tDCS Conditionbefore treatment to after treatment30.36 percentage of change in resist ratingsStandard Deviation 30.82
Sham tDCSInability to Resist Food and tDCS Conditionbefore treatment to during treatment10.66 percentage of change in resist ratingsStandard Deviation 39.57
Sham tDCSInability to Resist Food and tDCS Conditionbefore treatment to after treatment13.38 percentage of change in resist ratingsStandard Deviation 39.52

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