TY - JOUR
T1 - EEG Markers in Emotionally Unstable Personality Disorder—A Possible Outcome Measure for Neurofeedback: A Narrative Review
AU - Boland, Cailín
AU - Jalihal, Virupakshi
AU - Organ, Catriona
AU - Oak, Katy
AU - McLean, Brendan
AU - Laugharne, Richard
AU - Woldman, Wessel
AU - Beck, Randy
AU - Shankar, Rohit
N1 - Publisher Copyright:
© EEG and Clinical Neuroscience Society (ECNS) 2020.
PY - 2020/7/8
Y1 - 2020/7/8
N2 - Objectives. There is growing evidence for the use of biofeedback (BF) in affective disorders, dissocial personality disorder, and in children with histories of abuse. Electroencephalogram (EEG) markers could be used as neurofeedback in emotionally unstable personality disorder (EUPD) management especially for those at high risk of suicide when emotionally aroused. This narrative review investigates the evidence for EEG markers in EUPD. Methods. PRISMA guidelines were used to conduct a narrative review. A structured search method was developed and implemented in collaboration with an information specialist. Studies were identified via 3 electronic database searches of MEDLINE, Embase, and PsycINFO. A predesigned inclusion/exclusion criterion was applied to selected papers. A thematic analysis approach with 5 criteria was used. Results. From an initial long list of 5250 papers, 229 studies were identified and screened, of which 44 met at least 3 of the predesigned inclusion criteria. No research to date investigates EEG-based neurofeedback in EUPD. A number of different EEG biomarkers are identified but there is poor consistency between studies. Conclusions. The findings heterogeneity may be due to the disorder complexity and the variable EEG related parameters studied. An alternative explanation may be that there are a number of different neuromarkers, which could be clustered together with clinical symptomatology, to give new subdomains. Quantitative EEGs in particular may be helpful to identify more specific abnormalities. EEG standardization of neurofeedback protocols based on specific EEG abnormalities detected may facilitate targeted use of neurofeedback as an intervention in EUPD.
AB - Objectives. There is growing evidence for the use of biofeedback (BF) in affective disorders, dissocial personality disorder, and in children with histories of abuse. Electroencephalogram (EEG) markers could be used as neurofeedback in emotionally unstable personality disorder (EUPD) management especially for those at high risk of suicide when emotionally aroused. This narrative review investigates the evidence for EEG markers in EUPD. Methods. PRISMA guidelines were used to conduct a narrative review. A structured search method was developed and implemented in collaboration with an information specialist. Studies were identified via 3 electronic database searches of MEDLINE, Embase, and PsycINFO. A predesigned inclusion/exclusion criterion was applied to selected papers. A thematic analysis approach with 5 criteria was used. Results. From an initial long list of 5250 papers, 229 studies were identified and screened, of which 44 met at least 3 of the predesigned inclusion criteria. No research to date investigates EEG-based neurofeedback in EUPD. A number of different EEG biomarkers are identified but there is poor consistency between studies. Conclusions. The findings heterogeneity may be due to the disorder complexity and the variable EEG related parameters studied. An alternative explanation may be that there are a number of different neuromarkers, which could be clustered together with clinical symptomatology, to give new subdomains. Quantitative EEGs in particular may be helpful to identify more specific abnormalities. EEG standardization of neurofeedback protocols based on specific EEG abnormalities detected may facilitate targeted use of neurofeedback as an intervention in EUPD.
KW - borderline personality disorder
KW - electroencephalogram
KW - emotionally unstable personality disorder
KW - neurofeedback
KW - neuromodulation
UR - http://www.scopus.com/inward/record.url?scp=85087670482&partnerID=8YFLogxK
UR - https://pearl.plymouth.ac.uk/context/pms-research/article/2080/viewcontent/EEG_19_0116.R2_Proof_hi.pdf
U2 - 10.1177/1550059420937948
DO - 10.1177/1550059420937948
M3 - Review article
C2 - 32635758
AN - SCOPUS:85087670482
SN - 1550-0594
VL - 52
SP - 254
EP - 273
JO - Clinical EEG and Neuroscience
JF - Clinical EEG and Neuroscience
IS - 4
ER -