LORETA
Research Papers
Showing 6 of 10Effects of simultaneous real-time fMRI and EEG neurofeedback in major depressive disorder evaluated with brain electromagnetic tomography
Recently, we reported an emotion self-regulation study (Zotev et al., 2020), in which patients with major depressive disorder (MDD) used simultaneous real-time fMRI and EEG neurofeedback (rtfMRI-EEG-nf) to upregulate two fMRI and two EEG activity measures, relevant to MDD. The target measures included fMRI activities of the left amygdala and left rostral anterior cingulate cortex, and frontal EEG asymmetries in the alpha band (FAA) and high-beta band (FBA). Here we apply the exact low resolution brain electromagnetic tomography (eLORETA) to investigate EEG source activities during the rtfMRI-EEG-nf procedure. The exploratory analyses reveal significant changes in hemispheric lateralities of upper alpha and high-beta current source densities in the prefrontal regions, consistent with upregulation of the FAA and FBA during the rtfMRI-EEG-nf task. Similar laterality changes are observed for current source densities in the amygdala. Prefrontal upper alpha current density changes show significant negative correlations with anhedonia severity. Changes in prefrontal high-beta current density are consistent with reduction in comorbid anxiety. Comparisons with results of previous LORETA studies suggest that the rtfMRI-EEG-nf training is beneficial to MDD patients, and may have the ability to correct functional deficiencies associated with anhedonia and comorbid anxiety in MDD.
View Full Paper →Healing the Neurophysiological Roots of Trauma: A Controlled Study Examining LORETA Z-Score Neurofeedback and HRV Biofeedback for Chronic PTSD
Introduction: Posttraumatic stress disorder (PTSD) has been linked to abnormalities within three neural networks: default mode (DMN), salience (SN), and central executive (CEN). This study examined the effectiveness of LORETA z-score neurofeedback (LZNF) training for altering current source within these networks and reducing symptoms associated with PTSD. Methods: Twenty-three adults with chronic PTSD were randomly assigned to 15 sessions of either LZNF (n = 12) or heart rate variability biofeedback (HRVB; n = 11). Psychosocial and physiological assessments were completed at baseline and postintervention. Results: The LZNF group showed very large, statistically significant decreases in symptoms on the PTSD Checklist for DSM-V (PCL-5; p = .003, d = 2.09) and Beck Anxiety Inventory (BAI; p = .003, d = 2.13). The HRVB group also showed very large decreases on the PCL-5 (p = .006, d = 1.40) and medium effects on the BAI (p = .018, d = 0.76). Between-group comparisons showed medium to large effects of group type in favor of LZNF (PCL-5 d = 0.57; BAI d = 0.94), although not statistically significant. LZNF Responders (n = 9) demonstrated very large, statistically significant decreases in abnormal z-scores within all targeted networks (DMN p = .012, d = 0.96; SN p = .008, d = 1.32; CEN p = .008, d = 1.33). Conclusion: The positive outcomes of this study provide preliminary evidence to support LZNF training as a specific, effective, and tolerable intervention for adults with chronic PTSD
View Full Paper →The Utility of EEG in Attention Deficit Hyperactivity Disorder: A Replication Study
The routine use of stimulants in pediatrics has increased dramatically over the past 3 decades and the long-term consequences have yet to be fully studied. Since 1978 there have been 7 articles identifying electroencephalogram (EEG) abnormalities, particularly epileptiform discharges in children with attention deficit hyperactivity disorder (ADHD). Many have studied the prevalence of these discharges in this population with varying results. An article published in 2011 suggests that EEG technology should be considered prior to prescribing stimulants to children diagnosed with ADHD due to a high prevalence of epileptiform discharges. The 2011 study found a higher prevalence (26%) of epileptiform discharges when using 23-hour and sleep-deprived EEGs in comparison with other methods of activation (hyperventilation or photostimulation) and conventional EEG. We sought to replicate the 2011 results using conventional EEG with the added qEEG technologies of automatic spike detection and low-resolution electromagnetic tomography analysis (LORETA) brain mapping. Our results showed 32% prevalence of epileptiform discharges, which suggests that an EEG should be considered prior to prescribing stimulant medications.
View Full Paper →Z-score LORETA Neurofeedback as a Potential Therapy for Patients with Seizures and Refractory Epilepsy
Approximately 30 % of epilepsy patients are resistant to conventional medical therapy. Therefore, alternative forms of treatment are needed to improve efficiency of these therapeutic regimens. Neurofeedback (NFB) has been becoming recognized as one of the promising therapies improving control of medically refractory epilepsy cases. This multi-case paper describes our experience with LORETA Z-score NFB as a tool for control of patients with seizures.
View Full Paper →Z-score LORETA Neurofeedback as a Potential Therapy in Depression/Anxiety and Cognitive Dysfunction1www.TallahasseeNeuroBalanceCenter.com
Introduction of quantitative electroencephalogram low-resolution electromagnetic tomography (QEEG/LORETA) electrical brain imaging has improved our diagnostic ability in neuropsychiatric practice by enhancing identification of dysregulated (defined as two standard deviations above or below the norm) cortical areas implicated in patient symptoms. Additional use of LORETA Z-score neurofeedback (NFB) enables us to directly target these areas of dysregulation in order to improve associated symptoms. Out of 235 neuropsychiatric patients treated in our clinic with Z-score LORETA NFB, a detailed analysis of 35 cases of depression, anxiety, and cognitive dysfunction is presented. Specific areas of dysregulation attributed to particular conditions identified by LORETA are discussed. Follow-up findings of QEEG/LORETA electrical imaging after NFB therapy (including computerized cognitive testing results) are shown. This chapter summarizes our experience with LORETA Z-score NFB as a tool for therapy of depression and associated anxiety. In addition, this form of NFB is able to improve cognitive functions of individuals suffering from memory, information processing, and other cognitive dysfunctions. Extensive presentations of selected cases are used for demonstration of results from our practice. 25 out of 35 patients (71%) were identified as having an objective improvement (on average 10 points) through cognitive testing. In addition, with NFB subjective cognitive improvement and an objective reduction of QEEG abnormalities were also achieved in most of the patients. Detailed analysis of our patients diagnosed with depression and/or anxiety showed that out of 31 included in the study, 24 (77%) were found to have both subjective and objective (improvement of QEEG abnormalities) improvement of the symptoms within 10 sessions of LORETA Z-score NFB. These results are very promising and indicate good effectiveness of LORETA Z-score NFB in therapy of depression, anxiety, and cognitive enhancement.
Connectivity-Guided EEG Biofeedback for Autism Spectrum Disorder: Evidence of Neurophysiological Changes
Recent studies have linked neural coherence deficits with impairments associated with Autism Spectrum Disorders (ASD). The current study tested the hypothesis that lowering neural hyperconnectivity would lead to decreases in autistic symptoms. Subjects underwent connectivity-guided EEG biofeedback, which has been previously found to enhance neuropsychological functioning and to lessen autistic symptoms. Significant reductions in neural coherence across frontotemporal regions and source localized power changes were evident in frontal, temporal, and limbic regions following this treatment. Concurrently, there were significant improvements on objective neuropsychological tests and parents reported positive gains (decreases in symptoms) following the treatment. These findings further validate EEG biofeedback as a therapeutic modality for autistic children and suggest that changes in coherence anomalies may be related to the mechanism of action.
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