Depression Clinical Trial
Official title:
Symptom Based Treatment Affects Brain Plasticity - Cognitive Training in Patients With Affective Symptoms
The aim of the study is the examination of brain plasticity on on affective symptoms after neuromodulation with fMRI (functional magnetic resonance imaging) neurofeedback. During the fMRI neurofeedback training, patients with depression as well as patients with schizophrenia are trained to consciously regulate the activity of areas which are associated with the cognitive reappraisal of emotional stimuli.The aim is to improve the patients' subjective emotional processing and perception in everyday life as well as to investigate the impact of neurofeedback on resting-state networks in the brain. Healthy participants will be investigated as control group.
The ability to regulate emotions is a central element of mental health that is significantly
affected in various psychiatric disorders. Its importance for development and maintenance of
depressive symptomatology has been widely shown; e.g. patients with depression have a
significantly reduced ability to regulate emotions in response to negative stimuli. However,
emotion regulation abilities may pose as an important resilience factor that can counteract
the development of depressive symptoms. The loss of the ability to regulate emotions is not
only observed in depression, but is also a core factor in negative symptoms of schizophrenia.
Cognitive reappraisal training is an established method to improve emotion regulation. The
cognitive reappraisal of a stimulus or situation works by reinterpreting the emotional
stimulus or situation and can change the course of the emotional response. Over the last
years this form of cognitive reappraisal training has become a standard approach in the
treatment of affective disorders.
The prefrontal cortex (PFC) plays an important role in emotion regulation. In line with this
it has been shown that patients with reduced emotion regulation ability display impaired
functioning of the PFC. Aim of the study is to train patients to consciously upregulate
activity in the PFC and thereby to increase emotion regulation ability. On the behavioral
level this is expected to correlate with a reduced experience of negative mood. In order to
regulate the PFC, participants are instructed to use cognitive reappraisal strategies.
Cognitive reappraisal is an effective and well-investigated strategy to improve emotion
regulation and is a standard cognitive-behavioral psychotherapeutic intervention. During
cognitive reappraisal the meaning of a picture is reinterpreted in order to reduce the
emotional reaction. Recent fMRI studies have shown that cognitive reappraisal is associated
with an increase in prefrontal activity and a decrease of amygdala activation.
The new technique of real-time fMRI enables subjects to influence their brain activity in
certain areas based on neurofeedback. Ongoing brain activity as measured by fMRI is reported
to the participants in real time via brain computer interface (BCI). In order to influence
brain activity, mental strategies are usually recommended to the participants that have been
shown to increase activity in the respective area. Due to the identification of contingency
between feedback and mental strategies participants are able to control their own brain
activity consciously. It has been shown that psychiatric symptomatology can be improved using
this non-invasive technique. In the current study it will be investigated whether
neurofeedback of the PFC has a positive influence on affective symptoms in patients with
depression and schizophrenia, respectively. In detail it is researched whether the
upregulation of activity in the PFC can lead to an increase in subjective well-being. Two
groups of patients (depression (N=40) and schizophrenia (N=40)) as well as a group of healthy
participants will receive neurofeedback-training of the PFC. Aim of the study is an
improvement of depressive (or negative) symptoms as well as the investigation of the impact
of neurofeedback on resting-state networks in the brain.
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