Predicting Symptomatic and Functional Improvements over 1 Year in Patients with First-Episode Psychosis Using Resting-State Electroencephalography
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective Although early intervention from the beginning of a psychotic episode is essential for a better prognosis, biomarkers predictive of symptomatic and functional improvement in early psychotic disorders are lacking. This study aimed to investigate whether the spectral power of resting-state electroencephalography (EEG) can be used as a predictive marker of the 1-year prognosis in patients with first-episode psychosis (FEP). Methods Twenty-four patients with FEP and matched healthy control (HC) subjects were examined with resting-state EEG at baseline. The symptomatic severity and functional status of FEP patients were assessed at baseline and reassessed after 1 year of usual treatment. Repeated measures analysis of variance was conducted to compare EEG spectral powers across the groups. Multiple regression analysis revealed EEG spectral powers predictive of symptomatic and functional improvement in FEP patients at the 1-year follow-up. Results Delta band power in the frontal and posterior regions was significantly higher in patients with FEP than in HCs. Higher delta band power in the posterior region predicted later improvement of positive symptoms and general functional status. Lower delta band power in the frontal region predicted improvement of negative symptoms and general functioning after 1 year. Conclusion These results suggest that increased delta absolute power is observed from the beginning of psychotic disorders. Furthermore, decreased delta power in the frontal region and increased delta power in the posterior region might be used as a predictive marker of a better prognosis of FEP, which would aid early intervention in clinical practice.
Abstract
Objective Although early intervention from the beginning of a psychotic episode is essential for a better prognosis, biomarkers predictive of symptomatic and functional improvement in early psychotic disorders are lacking. This study aimed to investigate whether the spectral power of resting-state electroencephalography (EEG) can be used as a predictive marker of the 1-year prognosis in patients with first-episode psychosis (FEP). Methods Twenty-four patients with FEP and matched healthy control (HC) subjects were examined with resting-state EEG at baseline. The symptomatic severity and functional status of FEP patients were assessed at baseline and reassessed after 1 year of usual treatment. Repeated measures analysis of variance was conducted to compare EEG spectral powers across the groups. Multiple regression analysis revealed EEG spectral powers predictive of symptomatic and functional improvement in FEP patients at the 1-year follow-up. Results Delta band power in the frontal and posterior regions was significantly higher in patients with FEP than in HCs. Higher delta band power in the posterior region predicted later improvement of positive symptoms and general functional status. Lower delta band power in the frontal region predicted improvement of negative symptoms and general functioning after 1 year. Conclusion These results suggest that increased delta absolute power is observed from the beginning of psychotic disorders. Furthermore, decreased delta power in the frontal region and increased delta power in the posterior region might be used as a predictive marker of a better prognosis of FEP, which would aid early intervention in clinical practice.
참고문헌 (43)
- Suvisaari J, "Is it possible to predict the future in first-episode psychosis?", Front Psychiatry, 9, pp.580~ (2018)
- Lieberman JA, "The early stages of schizophrenia : speculations on pathogenesis, pathophysiology, and therapeutic approaches", Biol Psychiatry, 50, pp.884~897 (2001)
- Marshall M, "Association between duration of untreated psychosis and outcome in cohorts of first-episode patients : a systematic review", Arch Gen Psychiatry, 62, pp.975~983 (2005)
- Perkins DO, "Relationship between duration of untreated psychosis and outcome in first-episode schizophrenia : a critical review and meta-analysis", Am J Psychiatry, 162, pp.1785~1804 (2005)
- Staring AB, "Fewer symptoms vs. more side-effects in schizophrenia? Opposing pathways between antipsychotic medication compliance and quality of life", Schizophr Res, 113, pp.27~33 (2009)
- Bebbington PE, "Side-effects of antipsychotic medication and health-related quality of life in schizophrenia", Acta Psychiatr Scand Suppl, 119, pp.22~28 (2009)
- Dayabandara M, "Antipsychotic-associated weight gain : management strategies and impact on treatment adherence", Neuropsychiatr Dis Treat, 13, pp.2231~2241 (2017)
- Santesteban-Echarri O, "Predictors of functional recovery in first-episode psychosis : a systematic review and meta-analysis of longitudinal studies", Clin Psychol Rev, 58, pp.59~75 (2017)
- Compton MT, "The relative importance of family history, gender, mode of onset, and age at onsetin predicting clinical features of first-episode psychotic disorders", Clin Schizophr Relat Psychoses, 11, pp.143~150 (2017)
- Moos RH, "Global assessment of functioning(GAF)ratings : determinants and role as predictors of one-year treatment outcomes", J Clin Psychol, 56, pp.449~461 (2000)
- Ayesa-Arriola R, "The relevance of cognitive, clinical and premorbid variables in predicting functional outcome for individuals with first-episode psychosis : a 3 year longitudinal study", Psychiatry Res, 209, pp.302~308 (2013)
- Rodrigues-Amorim D, "Schizophrenia : a review of potential biomarkers", J Psychiatr Res, 93, pp.37~49 (2017)
- Lieberman J, "Longitudinal study of brain morphology in first episode schizophrenia", Biol Psychiatry, 49, pp.487~499 (2001)
- Wood SJ, "Prediction of functional outcome 18 months after a first psychotic episode : a proton magnetic resonance spectroscopy study", Arch Gen Psychiatry, 63, pp.969~976 (2006)
- Lho SK, "Predicting prognosis in patients with first-episode psychosis using auditory P300 : a 1-year follow-up study", Clin Neurophysiol, 130, pp.46~54 (2018)
- Nuwer MR, "Clinical use of QEEG", Clin Neurophysiol, 114, pp.2225~ (2003)
- Boutros NN, "The status of spectral EEG abnormality as a diagnostic test for schizophrenia", Schizophr Res, 99, pp.225~237 (2008)
- Gschwandtner U, "Negative symptoms in neuroleptic-naive patients with first-episode psychosis correlate with QEEG parameters", Schizophr Res, 115, pp.231~236 (2009)
- Gross A, "Correlation of symptom clusters of schizophrenia with absolute powers of main frequency bands in quantitative EEG", Behav Brain Funct, 2, pp.23~ (2006)
- Manchanda R, "EEG abnormalities and outcome in first-episode psychosis", Can J Psychiatry, 48, pp.722~726 (2003)
- Manchanda R, "Electroencephalographic abnormalities and 5-year outcome in first-episode psychosis", Can J Psychiatry, 59, pp.285~288 (2014)
- Manchanda R, "EEG abnormalities and 3-year outcome in first episode psychosis", Acta Psychiatr Scand, 117, pp.277~282 (2008)
- Manchanda R, "EEG abnormalities and two year outcome in first episode psychosis", Acta Psychiatr Scand, 111, pp.208~213 (2005)
- Gardner DM, "International consensus study of antipsychotic dosing", Am J Psychiatry, 167, pp.686~693 (2010)
- Ashton CH, "Benzodiazepines: How They Work and How to Withdraw", pp.2006
- Yum T, "The Manual of Korean-Wechsler Adult Intelligence Scale" (1992), Korean Guidance Press
- Annett M, "The binomial distribution of right, mixed and left handedness", Q J Exp Psychol, 19, pp.327~333 (1967)
- Delorme A, "EEGLAB : an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis", J Neurosci Methods, 134, pp.9~21 (2004)
- 현준, "Effects of Psychotropic Drugs on Quantitative EEG among Patients with Schizophrenia-spectrum Disorders", Clinical Psychopharmacology and Neuroscience, 9(2), pp.78~85 (2011), 대한정신약물학회
- Sun-Young Moon, "Increased Frontal Gamma and Posterior Delta Powers as Potential Neurophysiological Correlates Differentiating Posttraumatic Stress Disorder from Anxiety Disorders", PSYCHIATRY INVESTIGATION, 15(11), pp.1087~1093 (2018), 대한신경정신의학회[DOI]
- Staner L, "Next-day residual effects of hypnotics in DSM-IV primary insomnia: a driving simulator study with simultaneous electroencephalogram monitoring", Psychopharmacology (Berl), 181, pp.790~798 (2005)
- Clementz BA, "Resting EEG in first-episode schizophrenia patients, bipolar psychosis patients, and their first-degree relatives", Psychophysiology, 31, pp.486~494 (1994)
- Sponheim SR, "Resting EEG in first-episode and chronic schizophrenia", Psychophysiology, 31, pp.37~43 (1994)
- Nagase Y, "Electroencephalography in schizophrenic patients : comparison between neuroleptic-naive state and after treatment", Biol Psychiatry, 40, pp.452~456 (1996)
- Dandash O, "Dopamine, fronto-striato-thalamic circuits and risk for psychosis", Schizophr Res, 180, pp.48~57 (2017)
- -DOPA PET imaging study, "Am J Psychiatry", 2011, 1311~1317
- Lisman JE, "A thalamo-hippocampalventral tegmental area loop may produce the positive feedback that underlies the psychotic break in schizophrenia", Biol Psychiatry, 68, pp.17~24 (2010)
- Neske GT, "The slow oscillation in cortical and thalamic networks : mechanisms and functions", Front Neural Circuits, 9, pp.88~ (2015)
- Saletu B, "EEG-brain mapping in schizophrenics with predominantly positive and negative symptoms. Comparative studies with remoxipride", haloperidol, 1990, pp.1, 27~36
- Gattaz WF, "Hypofrontality on topographic EEG in schizophrenia. Correlations with neuropsychological and psychopathological parameters", Eur Arch Psychiatry Clin Neurosci, 241, pp.328~332 (1992)
- Kaskie RE, "Reduced frontal slow wave density during sleep in first-episode psychosis", Schizophr Res, 206, pp.318~324 (2019)
- Fryer SL, "Reduced amplitude of low-frequency brain oscillations in the psychosis risk syndrome and early illness schizophrenia", Neuropsychopharmacology, 41, pp.2388~2398 (2016)
- Lieberman J, "Time course and biologic correlates of treatment response in first-episode schizophrenia", Arch Gen Psychiatry, 50, pp.369~376 (1993)