Neurometric subgroups in attentional and affective disorders and their association with pharmacotherapeutic outcome.
paper
Cited
Public
Unavailable
- Authors
- Suffin, S C; Emory, W H
- Year
- 1995
- Journal
- Clinical EEG (electroencephalography)
- PMID
- 7781194
- DOI
- 10.1177/155005949502600204
To determine if quantitative electrophysiologic measures correlate with pharmacotherapeutic response, we conducted a retrospective analysis of treatment outcomes in sequential patients with attention deficit disorder and affective disorders. One hundred medication-free patients meeting DSM-III-R criteria for attentional and affective disorders underwent pretreatment EEG, quantitative Neurometric EEG, and physical/laboratory examinations. Attention-disordered patients were first treated with a stimulant, secondarily with an antidepressant, and tertially with an anticonvulsant. Affectively disordered patients were treated initially with antidepressant, and secondarily augmented with anticonvulsant or lithium. Tertiary treatment was a stimulant. Patients were assessed up to 6 months. A Clinical Global Improvement score was assigned. Similar Neurometric subgroups were identified within both the attentional and the affectively disordered patients. Subgroups were relative alpha frequency excess, relative theta frequency excess, and/or inter-hemispheric hypercoherence. Without regard to DSM-III-R diagnosis, there were robust correlations between Neurometric subgroup membership, responsivity to selected pharmacologic agent class(es), and clinical outcome. The frontal alpha excess subgroup was 87% responsive to antidepressants. The frontal theta excess subgroup was 100% responsive to stimulants. The frontal alpha excess/hypercoherent subgroup was 85% or more responsive to anticonvulsants/lithium. The frontal theta excess/hypercoherent subgroup was 80% responsive to anticonvulsants. Patients with similar Neurometric features responded to the same class(es) of psychopharmacologic agent(s) despite their DSM-III-R classification.
No figures extracted from this document.
No chunks — full text not yet ingested.
No entities extracted from this document yet.
No uploaded files.
Not in any collection.
No citations found.
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Advances in Electrophysiological Research. | 2015 | 26259089 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| EEG biomarkers for a precision-medicine approach to noninvasive brain stimulation for major depressive disorder. | Romero-Marín R et al. | — | 2026 | → |
| Challenging the Diagnostic Value of Theta/Beta Ratio: Insights From an EEG Subtyping Meta-Analytical Approach in ADHD. | Boxum M et al. | — | 2025 | → |
| Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD. | Arteaga A et al. | — | 2025 | → |
| Long-term administration of paroxetine increases cortical EEG beta and gamma band activities in healthy awake rats. | Eskikurt G et al. | — | 2024 | → |
| Non-linear processing and reinforcement learning to predict rTMS treatment response in depression. | Ebrahimzadeh E et al. | — | 2024 | → |
| Deep transcranial magnetic stimulation alters resting-state neurophysiological traits in major depressive disorder. | Shanok NA et al. | — | 2023 | → |
| Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder. | Ebrahimzadeh E et al. | — | 2023 | → |
| A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters. | Kesebir S et al. | — | 2022 | → |
| Can EEG Predict Response to Atomoxetine in attention deficit hyperactivity disorder at 1 Week? | Singh G et al. | — | 2021 | → |
| Resting State Quantitative Electroencephalogram Power Spectra in Patients with Depressive Disorder as Compared to Normal Controls: An Observational Study. | Das J et al. | — | 2020 | → |
| An Electrophysiological Biomarker That May Predict Treatment Response to ECT. | Scangos KW et al. | — | 2019 | → |
| Differentiating responders and non-responders to rTMS treatment for depression after one week using resting EEG connectivity measures. | Bailey NW et al. | — | 2019 | → |
| Early change of prefrontal theta cordance and occipital alpha asymmetry in the prediction of responses to antidepressants. | Bares M et al. | — | 2019 | → |
| Measuring Treatment Response in Pharmacological and Lifestyle Interventions Using Electroencephalography in ADHD: A Review. | Kirkland AE et al. | — | 2019 | → |
| Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal. | Hasanzadeh F et al. | — | 2019 | → |
| Electroencephalographic biomarkers as predictors of methylphenidate response in attention-deficit/hyperactivity disorder. | Arns M et al. | — | 2018 | → |
| Neurobiological parameters in quantitative prediction of treatment outcome in schizophrenic patients. | Iznak AF et al. | — | 2018 | → |
| The quantified EEG characteristics of responders and non-responders to long-term treatment with atomoxetine in children with attention deficit hyperactivity disorders. | Chiarenza GA et al. | — | 2016 | → |
| The use of the Psychiatric Electroencephalography Evaluation Registry (PEER) to personalize pharmacotherapy. | Iosifescu DV et al. | — | 2016 | → |
| Advances in Electrophysiological Research. | Kamarajan C et al. | — | 2015 | → |
| Personalized Medicine: Review and Perspectives of Promising Baseline EEG Biomarkers in Major Depressive Disorder and Attention Deficit Hyperactivity Disorder. | Olbrich S et al. | — | 2015 | → |
| Randomised controlled trial of Antiglucocorticoid augmentation (metyrapone) of antiDepressants in Depression (ADD Study) | Ferrier IN et al. | — | 2015 | → |
| Attention-deficit hyperactivity disorder (ADHD) as a pyridoxine-dependent condition: urinary diagnostic biomarkers. | Dolina S et al. | — | 2014 | → |
| Evaluation of neurofeedback in ADHD: the long and winding road. | Arns M et al. | — | 2014 | → |
| Personalized Medicine in ADHD and Depression: Use of Pharmaco-EEG. | Arns M et al. | — | 2014 | → |
| Predicting the clinical outcome of stimulant medication in pediatric attention-deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a go/no-go test. | Ogrim G et al. | — | 2014 | → |
| Quantitative EEG and neurofeedback in children and adolescents: anxiety disorders, depressive disorders, comorbid addiction and attention-deficit/hyperactivity disorder, and brain injury. | Simkin DR et al. | — | 2014 | → |
| The vigilance regulation model of affective disorders and ADHD. | Hegerl U et al. | — | 2014 | → |
| EEG biomarkers in major depressive disorder: discriminative power and prediction of treatment response. | Olbrich S et al. | — | 2013 | → |
| Measuring severe adverse events and medication selection using a "PEER Report" for nonpsychotic patients: a retrospective chart review. | Hoffman DA et al. | — | 2012 | → |
| Neurophysiological predictors of non-response to rTMS in depression. | Arns M et al. | — | 2012 | → |
| Retrospective chart review of a referenced EEG database in assisting medication selection for treatment of depression in patients with eating disorders. | Greenblatt JM et al. | — | 2011 | → |
| The use of referenced-EEG (rEEG) in assisting medication selection for the treatment of depression. | DeBattista C et al. | — | 2011 | → |
| The use of the EEG in measuring therapeutic drug action: focus on depression and antidepressants. | Alhaj H et al. | — | 2011 | → |
| EEG-vigilance and response to stimulants in paediatric patients with attention deficit/hyperactivity disorder. | Sander C et al. | — | 2010 | → |
| Functional neuroanatomy and the rationale for using EEG biofeedback for clients with Asperger's syndrome. | Thompson L et al. | — | 2010 | → |
| The need for individualization in neurofeedback: heterogeneity in QEEG patterns associated with diagnoses and symptoms. | Hammond DC | — | 2010 | → |
| Effect of a psychoneurotherapy on brain electromagnetic tomography in individuals with major depressive disorder. | Paquette V et al. | — | 2009 | → |
| QEEG studies in the assessment and treatment of childhood disorders. | Cantor DS et al. | — | 2009 | → |
| EEG phenotypes predict treatment outcome to stimulants in children with ADHD. | Arns M et al. | — | 2008 | → |
| Electroencephalographic alpha measures predict therapeutic response to a selective serotonin reuptake inhibitor antidepressant: pre- and post-treatment findings. | Bruder GE et al. | — | 2008 | → |
| Improving the prediction of treatment response in depression: integration of clinical, cognitive, psychophysiological, neuroimaging, and genetic measures. | Kemp AH et al. | — | 2008 | → |
| Hypnosis, placebos, and systematic research bias in biological psychiatry. | Hammond DC | — | 2007 | → |
| A meta-analysis of quantitative EEG power associated with attention-deficit hyperactivity disorder. | Snyder SM et al. | — | 2006 | → |
| The value of quantitative electroencephalography in clinical psychiatry: a report by the Committee on Research of the American Neuropsychiatric Association. | Coburn KL et al. | — | 2006 | → |
| A four-step approach for developing diagnostic tests in psychiatry: EEG in ADHD as a test case. | Boutros N et al. | — | 2005 | → |
| Clinical database development: characterization of EEG phenotypes. | Johnstone J et al. | — | 2005 | → |
| Clinical utility of EEG in attention deficit hyperactivity disorder. | Loo SK et al. | — | 2005 | → |
| The neurometric-quantitative electroencephalogram as a predictor for psychopharmacological treatment: an investigation of clinical utility. | Crumbley JA et al. | — | 2005 | → |
| The neurophysiology of attention-deficit/hyperactivity disorder. | di Michele F et al. | — | 2005 | → |
| The role of quantitative electroencephalography in child and adolescent psychiatric disorders. | Chabot RJ et al. | — | 2005 | → |
| Use of normative databases and statistical methods in demonstrating clinical utility of QEEG: importance and cautions. | Prichep LS | — | 2005 | → |
| Quantitative spectral analysis of EEG in psychiatry revisited: drawing signs out of numbers in a clinical setting. | Coutin-Churchman P et al. | — | 2003 | → |
| Outcome related electrophysiological subtypes of cocaine dependence. | Prichep LS et al. | — | 2002 | → |
| A history and review of quantitative electroencephalography in traumatic brain injury. | Wallace BE et al. | — | 2001 | → |
| Impairments of attention and effort among patients with major affective disorders. | Cohen R et al. | — | 2001 | → |
| Limitations of the American Academy of Neurology and American Clinical Neurophysiology Society paper on QEEG. | Hoffman DA et al. | — | 1999 | → |
| Prediction of treatment outcome in cocaine dependent males using quantitative EEG. | Prichep LS et al. | — | 1999 | → |
| Predictors of therapeutic response to treatments for depression: a review of electrophysiologic and dichotic listening studies. | Bruder GE et al. | — | 1999 | → |
| Simultaneous EEG and EDA measures in adolescent attention deficit hyperactivity disorder. | Lazzaro I et al. | — | 1999 | → |
| Quantified EEG activity in adolescent attention deficit hyperactivity disorder. | Lazzaro I et al. | — | 1998 | → |
| Sensitivity and specificity of QEEG in children with attention deficit or specific developmental learning disorders. | Chabot RJ et al. | — | 1996 | → |
| Abnormal auditory P300 topography in attention deficit disorder predicts poor response to pemoline. | Sangal JM et al. | — | 1995 | → |
| Quantitative EEG characteristics of children exposed in utero to cocaine. | Prichep LS et al. | — | 1995 | → |