Hallucinations are a core diagnostic feature of psychotic disorders. They involve different sensory modalities, including auditory, visual, olfactory, tactile, and gustatory hallucinations, among others. Hallucinations occur in multiple different neurological and psychiatric illnesses and can be refractory to existing treatments. Auditory hallucinations and visual hallucinations are found across diagnostic categories of psychotic disorders (schizophrenia, schizoaffective, bipolar disorder). Despite visual hallucinations being approximately half as frequent as auditory hallucinations, they almost always co-occur with auditory hallucinations, and are linked to a more severe psychopathological profile. Auditory and visual hallucinations at baseline also predict higher disability, risk of relapse and duration of psychosis after 1 and 2 years, especially when they occur in combination. Using a newly validated technique termed lesion network mapping, researchers demonstrated that focal brain lesions connected to the right superior temporal sulcus (rSTS) plays a causal role in the development of hallucinations. The rSTS receives convergent somatosensory, auditory, and visual inputs, and is regarded as a site for multimodal sensory integration. Here the investigators aim to answer the question whether noninvasive brain stimulation when optimally targeted to the rSTS can improve brain activity, sensory integration, and hallucinations.
Functional neuroimaging studies have identified neural correlates of hallucinations across multiple brain regions. Some studies suggest a common neuroanatomical substrate independent of the sensory modality, while others suggest different neural correlates for different types of hallucinations. However, whether these neuroimaging findings represented a cause, consequence or epiphenomenon of hallucinations was unclear until recently. Using lesion network mapping, researchers demonstrated that focal brain lesions play a causal role in the development of hallucinations and can occur in different brain locations, both inside and outside sensory pathway, and that greater than 90% of lesion locations causing hallucinations are negatively connected to the right superior temporal sulcus (rSTS). The rSTS is known to play a role in social cognition, biological motion, audiovisual integration, and speech. Hence, when spontaneous activity decreases at lesion locations causing hallucinations, spontaneous activity in the rSTS increases, the exact pattern thought to predispose to hallucinations. Additionally, functional connectivity within this region is abnormal in patients with visual and auditory hallucinations. Therefore, the association between rSTS connectivity and hallucinations would suggest this region may be optimal for modulation via non-invasive brain stimulation. One method by which cortical excitability can be altered is with transcranial direct current stimulation (tDCS), a non-invasive brain stimulation technique. High definition tDCS (HD-tDCS) is a refined version of tDCS with improved spatial precision of cortical stimulation. This involves the application of a weak electrical current (1-2 mA) delivered to the brain via scalp electrodes. tDCS can modulate cortical excitability, where anodal stimulation tends to increase (i.e. the resting potential becomes less negative) and cathodal stimulation tends to decrease the underlying membrane potential (i.e. the resting potential becomes more negative). While tDCS is a promising adjunctive treatment of auditory hallucinations and negative symptoms in schizophrenia, less is known about its role in treating hallucinations overall. To date, no study has non-invasively stimulated the rSTS with tDCS in psychosis and examined its effects on hallucinations. However, there are studies in healthy volunteers showing that anodal stimulation to the STS resulted in increased auditory false perceptions, while cathodal stimulation decreased false perceptions and was lower than the sham condition. Taken together, the recent lesion network mapping identifying the rSTS as a major source of hallucinations combined with prior studies showing that the rSTS is associated with hallucinations suggest that it may be possible to alleviate hallucinations by designing a tDCS protocol that targets the rSTS with cathodal stimulation. Technological advances in noninvasive neuromodulation and electrical field modeling further allow us to create a tDCS protocol specifically guided by the results of lesion network mapping studies with high spatial resolution.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
12
Transcranial electrical stimulation
Beth Israel Deaconess Medical Center
Boston, Massachusetts, United States
Positive and Negative Syndrome Scale (PANSS)
Measuring total psychosis symptoms score (Total score minimum = 30, maximum = 210); General symptoms (minimum score = 16, maximum score = 112); Negative Symptoms (minimum score = 16, maximum score = 112); and Positive Symptoms (minimum score = 16, maximum score = 112); higher scores represent higher severity of symptoms
Time frame: Change from baseline to day 5
Positive and Negative Syndrome Scale (PANSS)
Measuring total psychosis symptoms score (Total score minimum = 30, maximum = 210); General symptoms (minimum score = 16, maximum score = 112); Negative Symptoms (minimum score = 16, maximum score = 112); and Positive Symptoms (minimum score = 16, maximum score = 112); higher scores represent higher severity of symptoms
Time frame: Change from baseline to month follow-up
University of Miami Parkinson's Disease Hallucinations Questionnaire (UM-PDHQ)
Measuring severity and duration of hallucinations; 20-item questionnaire to be used as a screening instrument to assess hallucinations (6 quantitative and 14 qualitative items); higher scores represent higher severity of symptoms. Total quantitative score (min = 0; max = 14).
Time frame: Change from baseline to day 5
University of Miami Parkinson's Disease Hallucinations Questionnaire (UM-PDHQ)
Measuring severity and duration of hallucinations; 20-item questionnaire to be used as a screening instrument to assess hallucinations (6 quantitative and 14 qualitative items); higher scores represent higher severity of symptoms. Total quantitative score (min = 0; max = 14).
Time frame: Change from baseline to month follow-up
7-item Auditory Hallucinations Rating Scale (AHRS)
Measuring severity and duration of hallucinations; severity for each item is rated on a 7-point scale; higher scores represent higher severity of symptoms. Total score (0-41).
Time frame: Change from baseline to day 5
7-item Auditory Hallucinations Rating Scale (AHRS)
Measuring severity and duration of hallucinations; severity for each item is rated on a 7-point scale; higher scores represent higher severity of symptoms. Total score (0-41).
Time frame: Change from baseline to month follow-up
Auditory Steady State Evoked Potential
Raw data was cleaned for artifacts (excessive noise) and segmented in cleaned epochs based on stimulus onset. Post preprocessing stages, the signal reported was derived from using a time-frequency transformation and analysis, which is conceptualized as oscillatory power in decibels (10\*log10) at a particular auditory frequency of interest.
Time frame: Change from baseline to day 5
Auditory Steady State Evoked Potential
Raw data was cleaned for artifacts (excessive noise) and segmented in cleaned epochs based on stimulus onset. Post preprocessing stages, the signal reported was derived from using a time-frequency transformation and analysis, which is conceptualized as oscillatory power in decibels (10\*log10) at a particular auditory frequency of interest.
Time frame: Change from baseline to month follow-up
Steady State Visual Evoked Potential
Raw data was cleaned for artifacts (excessive noise) and segmented in cleaned epochs based on stimulus onset. Post preprocessing stages, the signal reported was derived from using a time-frequency transformation and analysis, which is conceptualized as oscillatory power in decibels (10\*log10) at a particular visual frequency of interest.
Time frame: Change from baseline to day 5
Steady State Visual Evoked Potential
Raw data was cleaned for artifacts (excessive noise) and segmented in cleaned epochs based on stimulus onset. Post preprocessing stages, the signal reported was derived from using a time-frequency transformation and analysis, which is conceptualized as oscillatory power in decibels (10\*log10) at a particular visual frequency of interest.
Time frame: Change from baseline to month follow-up
Cross Modal Steady State Evoked Potential
Raw data was cleaned for artifacts (excessive noise) and segmented in cleaned epochs based on stimulus onset. Post preprocessing stages, the signal reported was derived from using a time-frequency transformation and analysis, which is conceptualized as oscillatory power in decibels (10\*log10) at a particular visual/auditory frequency of interest.
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Time frame: Change from baseline to day 5
Cross Modal Steady State Evoked Potential
Raw data was cleaned for artifacts (excessive noise) and segmented in cleaned epochs based on stimulus onset. Post preprocessing stages, the signal reported was derived from using a time-frequency transformation and analysis, which is conceptualized as oscillatory power in decibels (10\*log10) at a particular visual/auditory frequency of interest.
Time frame: Change from baseline to month follow-up
Resting State EEG
Measuring neural activity at rest consisting of 5 minutes of eyes-open resting-state EEG (rsEEG) was recorded. Fast Fourier transformations were conducted on data, resulting in 4 frequency bands: delta/theta, alpha, beta, and gamma.
Time frame: Change from baseline to 5 day
Resting State EEG
Measuring neural activity at rest consisting of 5 minutes of eyes-open resting-state EEG (rsEEG) was recorded. Fast Fourier transformations were conducted on data, resulting in 4 frequency bands: delta/theta, alpha, beta, and gamma.
Time frame: Change from baseline to month follow-up
Biological Motion
Measuring the percent correct of detected motion by presenting a simulated walker; difficulty is increased by the level of random noise around stimuli. 20 trials are presented. Higher scores (0-100%) indicate a better ability to detect motion.
Time frame: Change from baseline to 5 day
Biological Motion
Measuring the percent correct of detected motion by presenting a simulated walker; difficulty is increased by the level of random noise around stimuli. 20 trials are presented. Higher scores (0-100%) indicate a better ability to detect motion.
Time frame: Change from baseline to month follow-up
Neurological Evaluation Scale; Sensory Integration
Measuring the percent correct of auditory and visual integration; auditory stimuli partners are matched to visual stimuli; difficulty is increased with more complex patterns
Time frame: Change from baseline to 5 day
Neurological Evaluation Scale; Sensory Integration
Measuring the percent correct of auditory and visual integration; auditory stimuli partners are matched to visual stimuli; difficulty is increased with more complex patterns
Time frame: Change from baseline to month follow-up
Global Assessment of Function (GAF)
Measuring global functioning; severity of symptoms related to day-to-day life on a scale of 0 to 100; higher scores represent higher severity of symptoms
Time frame: Change from baseline to day 5
Global Assessment of Function (GAF)
Measuring global functioning; severity of symptoms related to day-to-day life on a scale of 0 to 100; higher scores represent higher severity of symptoms
Time frame: Change from baseline to month follow-up
Montgomery-Asberg Depression Rating Scale (MADRS)
Measuring total depression scores; 10 item scale related to depressive episodes (total score 0-60); higher scores represent higher severity of symptoms
Time frame: Change from baseline to 5 day
Montgomery-Asberg Depression Rating Scale (MADRS)
Measuring total depression scores; 10 item scale related to depressive episodes (total score 0-60); higher scores represent higher severity of symptoms
Time frame: Change from baseline to month follow-up
Young Mania Rating Scale (YMRS)
Measuring total Mania scores; 11 items used to access severity of mania (total score 0-60); higher scores represent higher severity of symptoms
Time frame: Change from baseline to 5 day
Young Mania Rating Scale (YMRS)
Measuring total Mania scores; 11 items used to access severity of mania (total score 0-60); higher scores represent higher severity of symptoms
Time frame: Change from baseline to month follow-up
Brief Assessment of Cognition (BACS)
Measuring cognition; cognitive domains assessed include memory, working memory, processing speed, executive functions and verbal fluency. Higher scores indicate greater cognitive ability on a given task.
Time frame: Change from baseline to 5 day
Brief Assessment of Cognition (BACS)
Measuring cognition; cognitive domains assessed include memory, working memory, processing speed, executive functions and verbal fluency. Higher scores indicate greater cognitive ability on a given task.
Time frame: Change from baseline to month follow-up
Symptom Checklist-90
Measuring total psychiatric symptoms; 90 symptoms and evaluates nine symptomatic dimensions; higher scores represent higher severity of symptoms. Total score range 0 to 360
Time frame: Change from baseline to 5 day
Symptom Checklist-90
Measuring total psychiatric symptoms; 90 symptoms and evaluates nine symptomatic dimensions; higher scores represent higher severity of symptoms.Total score range 0 to 360.
Time frame: Change from baseline to month follow-up