1
|
Oprea DC, Mawas I, Moroșan CA, Iacob VT, Cămănaru EM, Cristofor AC, Dobrin RP, Gireadă B, Petrariu FD, Chiriță R. A Systematic Review of the Effects of EEG Neurofeedback on Patients with Schizophrenia. J Pers Med 2024; 14:763. [PMID: 39064017 PMCID: PMC11278179 DOI: 10.3390/jpm14070763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/16/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
Schizophrenia is a neuropsychiatric disorder affecting approximately 1 in 300 people worldwide. It is characterized by a range of symptoms, including positive symptoms (delusions, hallucinations, and formal thought disorganization), negative symptoms (anhedonia, alogia, avolition, asociality, and blunted affect), and cognitive impairments (impaired memory, attention, executive function, and processing speed). Current treatments, such as psychopharmacology and psychotherapy, often do not fully address these symptoms, leading to impaired everyday functionality. In recent years, there has been a growing interest in neuromodulation due to computer and engineering science making extraordinary computational advances. Those put together have reinitiated the spark in the field of neurofeedback (NF) as a means for self-regulation and neuromodulation with the potential to alleviate the daily burden of schizophrenia. We review, in a systematic way, the primary reports of electroencephalogram (EEG)-based NF as a therapeutical tool for schizophrenia. The main body of research consists mostly of case studies and case reports. The results of a few randomized controlled studies, combined with case studies/series, underscore the potential use of NF as an add-on treatment option for improving the lives of suffering individuals, being sustained by the changes in brain function and symptomatology improvement. We aim to provide important evidence of neuromodulation using NF in patients with schizophrenia, summarizing the effects and conclusions found in several clinical trials.
Collapse
Affiliation(s)
- Dan Cătălin Oprea
- Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
- Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
| | - Iasmin Mawas
- Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
| | - Cătălina Andreea Moroșan
- Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
- Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
| | - Vlad Teodor Iacob
- Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
- Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
| | - Eliza Mihaela Cămănaru
- Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
- Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
| | - Ana Caterina Cristofor
- Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
- Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
| | - Romeo Petru Dobrin
- Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
- Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
| | - Bogdan Gireadă
- Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
- Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
| | - Florin Dumitru Petrariu
- Department of Preventive Medicine and Interdisciplinarity, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania;
| | - Roxana Chiriță
- Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
- Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
| |
Collapse
|
2
|
Noble SC, Woods E, Ward T, Ringwood JV. Accelerating P300-based neurofeedback training for attention enhancement using iterative learning control: a randomised controlled trial. J Neural Eng 2024; 21:026006. [PMID: 38394680 DOI: 10.1088/1741-2552/ad2c9e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 02/23/2024] [Indexed: 02/25/2024]
Abstract
Objective. Neurofeedback (NFB) training through brain-computer interfacing has demonstrated efficacy in treating neurological deficits and diseases, and enhancing cognitive abilities in healthy individuals. It was previously shown that event-related potential (ERP)-based NFB training using a P300 speller can improve attention in healthy adults by incrementally increasing the difficulty of the spelling task. This study aims to assess the impact of task difficulty adaptation on ERP-based attention training in healthy adults. To achieve this, we introduce a novel adaptation employing iterative learning control (ILC) and compare it against an existing method and a control group with random task difficulty variation.Approach. The study involved 45 healthy participants in a single-blind, three-arm randomised controlled trial. Each group underwent one NFB training session, using different methods to adapt task difficulty in a P300 spelling task: two groups with personalised difficulty adjustments (our proposed ILC and an existing approach) and one group with random difficulty. Cognitive performance was evaluated before and after the training session using a visual spatial attention task and we gathered participant feedback through questionnaires.Main results. All groups demonstrated a significant performance improvement in the spatial attention task post-training, with an average increase of 12.63%. Notably, the group using the proposed iterative learning controller achieved a 22% increase in P300 amplitude during training and a 17% reduction in post-training alpha power, all while significantly accelerating the training process compared to other groups.Significance. Our results suggest that ERP-based NFB training using a P300 speller effectively enhances attention in healthy adults, with significant improvements observed after a single session. Personalised task difficulty adaptation using ILC not only accelerates the training but also enhances ERPs during the training. Accelerating NFB training, while maintaining its effectiveness, is vital for its acceptability by both end-users and clinicians.
Collapse
Affiliation(s)
- S-C Noble
- Department of Electronic Engineering, Maynooth University, Maynooth, Ireland
| | - E Woods
- Discipline of Physiology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - T Ward
- Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland
| | - J V Ringwood
- Department of Electronic Engineering, Maynooth University, Maynooth, Ireland
| |
Collapse
|
3
|
Zhang H, Xu M, Liu M, Song X, He F, Chen S, Ming D. Biological current source imaging method based on acoustoelectric effect: A systematic review. Front Neurosci 2022; 16:807376. [PMID: 35924223 PMCID: PMC9339687 DOI: 10.3389/fnins.2022.807376] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 06/28/2022] [Indexed: 11/13/2022] Open
Abstract
Neuroimaging can help reveal the spatial and temporal diversity of neural activity, which is of utmost importance for understanding the brain. However, conventional non-invasive neuroimaging methods do not have the advantage of high temporal and spatial resolution, which greatly hinders clinical and basic research. The acoustoelectric (AE) effect is a fundamental physical phenomenon based on the change of dielectric conductivity that has recently received much attention in the field of biomedical imaging. Based on the AE effect, a new imaging method for the biological current source has been proposed, combining the advantages of high temporal resolution of electrical measurements and high spatial resolution of focused ultrasound. This paper first describes the mechanism of the AE effect and the principle of the current source imaging method based on the AE effect. The second part summarizes the research progress of this current source imaging method in brain neurons, guided brain therapy, and heart. Finally, we discuss the problems and future directions of this biological current source imaging method. This review explores the relevant research literature and provides an informative reference for this potential non-invasive neuroimaging method.
Collapse
Affiliation(s)
- Hao Zhang
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Minpeng Xu
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin International Joint Research Centre for Neural Engineering, Tianjin University, Tianjin, China
| | - Miao Liu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin International Joint Research Centre for Neural Engineering, Tianjin University, Tianjin, China
| | - Xizi Song
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin International Joint Research Centre for Neural Engineering, Tianjin University, Tianjin, China
| | - Feng He
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin International Joint Research Centre for Neural Engineering, Tianjin University, Tianjin, China
| | - Shanguang Chen
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin International Joint Research Centre for Neural Engineering, Tianjin University, Tianjin, China
- National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, China
| | - Dong Ming
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin International Joint Research Centre for Neural Engineering, Tianjin University, Tianjin, China
- *Correspondence: Dong Ming
| |
Collapse
|
4
|
Abstract
PURPOSE OF REVIEW To provide recent evidence on real-time neurofeedback (NFB) training for auditory verbal hallucinations (AVH) in schizophrenia patients. RECENT FINDINGS NFB is a promising technique that allows patients to gain control over their AVH by modulating their own speech-related/language-related networks including superior temporal gyrus (STG) and anterior cingulate cortex (ACC) using fMRI, fNIRS and EEG/MEG. A recent limited number of studies showed that while an EEG-based NFB study failed to regulate auditory-evoked potentials and reduce AVH, downregulation of STG hyperactivity and upregulation of ACC activity with fMRI-based NFB appear to alleviate treatment-resistant AVH in schizophrenia patients. A deeper understanding of AVH and development of more effective methodologies are still needed. SUMMARY Despite recent innovations in antipsychotics, many schizophrenia patients continue to suffer from treatment-resistant AVH and social dysfunctions. Recent studies suggested that real-time NFB shows promise in enabling patients to gain control over AVH by regulating their own speech-related/language-related networks. Although fMRI-NFB is suitable for regulating localized activity, EEG/MEG-NFB are ideal for regulating the ever-changing AVH. Although there are still many challenges including logistic complexity and burden on patients, we hope that such innovative real-time NFB trainings will help patients to alleviate severe symptoms and improve social functioning.
Collapse
|
5
|
Gandara V, Pineda JA, Shu IW, Singh F. A Systematic Review of the Potential Use of Neurofeedback in Patients With Schizophrenia. SCHIZOPHRENIA BULLETIN OPEN 2020; 1:sgaa005. [PMID: 32803157 PMCID: PMC7418870 DOI: 10.1093/schizbullopen/sgaa005] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Schizophrenia (SCZ) is a neurodevelopmental disorder characterized by positive symptoms (hallucinations and delusions), negative symptoms (anhedonia, social withdrawal) and marked cognitive deficits (memory, executive function, and attention). Current mainstays of treatment, including medications and psychotherapy, do not adequately address cognitive symptoms, which are essential for everyday functioning. However, recent advances in computational neurobiology have rekindled interest in neurofeedback (NF), a form of self-regulation or neuromodulation, in potentially alleviating cognitive symptoms in patients with SCZ. Therefore, we conducted a systematic review of the literature for NF studies in SCZ to identify lessons learned and to identify steps to move the field forward. Our findings reveal that NF studies to date consist mostly of case studies and small sample, single-group studies. Despite few randomized clinical trials, the results suggest that NF is feasible and that it leads to measurable changes in brain function. These findings indicate early proof-of-concept data that needs to be followed up by larger, randomized clinical trials, testing the efficacy of NF compared to well thought out placebos. We hope that such an undertaking by the field will lead to innovative solutions that address refractory symptoms and improve everyday functioning in patients with SCZ.
Collapse
Affiliation(s)
- Veronica Gandara
- Department of Psychiatry, University of California at San Diego (UCSD), La Jolla, CA
| | - Jaime A Pineda
- Department of Cognitive Science, University of California at San Diego (UCSD), La Jolla, CA
| | - I-Wei Shu
- Department of Psychiatry, University of California at San Diego (UCSD), La Jolla, CA
| | - Fiza Singh
- Department of Psychiatry, University of California at San Diego (UCSD), La Jolla, CA
| |
Collapse
|