Literature DB >> 1510872

Quantitative EEG in elderly depressives.

R A Roemer1, C Shagass, W Dubin, R Jaffe, L Siegal.   

Abstract

Thirty-one elderly depressive patients were evaluated with topographic, quantitative EEG using relative measures, absolute measures, and computations of interhemispheric asymmetry and interhemispheric coherence in four frequency bands: delta, theta, alpha and beta. Patients were found to have lower than normal delta, higher than normal theta, higher than normal alpha and lower than normal beta values. EEG values were greater over the left than the right hemisphere in theta, alpha and beta bands. Lower than normal anterior interhemispheric coherence was found in all four frequency bands.

Entities:  

Mesh：

Year:  1992        PMID： 1510872     DOI： 10.1007/bf01135566

Source DB:  PubMed          Journal:  Brain Topogr        ISSN： 0896-0267            Impact factor:   3.020


  14 in total

1.  Topographic quantitative EEG in elderly subjects with major depression.

Authors:  V E Pollock; L S Schneider
Journal:  Psychophysiology       Date:  1990-07       Impact factor: 4.016

2.  Interhemispheric EEG coherence before and after partial callosotomy.

Authors:  J Montplaisir; T Nielsen; J Côté; D Boivin; I Rouleau; G Lapierre
Journal:  Clin Electroencephalogr       Date:  1990-01

3.  Subcortical hyperintensity on magnetic resonance imaging: a comparison of normal and depressed elderly subjects.

Authors:  C E Coffey; G S Figiel; W T Djang; R D Weiner
Journal:  Am J Psychiatry       Date:  1990-02       Impact factor: 18.112

4.  Neurometrics: computer-assisted differential diagnosis of brain dysfunctions.

Authors:  E R John; L S Prichep; J Fridman; P Easton
Journal:  Science       Date:  1988-01-08       Impact factor: 47.728

5.  Diagnostic efficacy of computerized spectral versus visual EEG analysis in elderly normal, demented and depressed subjects.

Authors:  R P Brenner; C F Reynolds; R F Ulrich
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1988-02

6.  An introduction to the coherence function and its use in EEG signal analysis.

Authors:  J C Shaw
Journal:  J Med Eng Technol       Date:  1981-11

Review 7.  Quantitative, waking EEG research on depression.

Authors:  V E Pollock; L S Schneider
Journal:  Biol Psychiatry       Date:  1990-04-01       Impact factor: 13.382

8.  Frontal and parietal electroencephalogram asymmetry in depressed and nondepressed subjects.

Authors:  C E Schaffer; R J Davidson; C Saron
Journal:  Biol Psychiatry       Date:  1983-07       Impact factor: 13.382

9.  Computerized EEG correlates of depression and antidepressant treatment.

Authors:  V J Knott; Y D Lapierre
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  1987       Impact factor: 5.067

10.  Diagnosis and subtyping of depressive disorders by quantitative electroencephalography: I. Discriminant analysis of selected variables in untreated depressives.

Authors:  A L Lieber; L S Prichep
Journal:  Hillside J Clin Psychiatry       Date:  1988
View more
  7 in total

1.  α Power, α asymmetry and anterior cingulate cortex activity in depressed males and females.

Authors:  Natalia Jaworska; Pierre Blier; Wendy Fusee; Verner Knott
Journal:  J Psychiatr Res       Date:  2012-08-28       Impact factor: 4.791

2.  Cortical excitability and rest activity properties in patients with depression.

Authors:  Carlo Salustri; Franca Tecchio; Filippo Zappasodi; Gabriela Bevacqua; Mauro Fontana; Matilde Ercolani; Daniele Milazzo; Rosanna Squitti; Paolo Maria Rossini
Journal:  J Psychiatry Neurosci       Date:  2007-07       Impact factor: 6.186

3.  Inter-hemispheric EEG coherence analysis in Parkinson's disease: assessing brain activity during emotion processing.

Authors:  R Yuvaraj; M Murugappan; Norlinah Mohamed Ibrahim; Kenneth Sundaraj; Mohd Iqbal Omar; Khairiyah Mohamad; R Palaniappan; M Satiyan
Journal:  J Neural Transm (Vienna)       Date:  2014-06-04       Impact factor: 3.575

4.  Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression.

Authors:  Andrew F Leuchter; Ian A Cook; Aimee M Hunter; Chaochao Cai; Steve Horvath
Journal:  PLoS One       Date:  2012-02-24       Impact factor: 3.240

Review 5.  The dynamic opponent relativity model: an integration and extension of capacity theory and existing theoretical perspectives on the neuropsychology of arousal and emotion.

Authors:  Clinton S Comer; Patti Kelly Harrison; David W Harrison
Journal:  Springerplus       Date:  2015-07-14

6.  Low β2 Main Peak Frequency in the Electroencephalogram Signs Vulnerability to Depression.

Authors:  Damien Claverie; Chrystel Becker; Antoine Ghestem; Mathieu Coutan; Françoise Camus; Christophe Bernard; Jean-Jacques Benoliel; Frédéric Canini
Journal:  Front Neurosci       Date:  2016-11-02       Impact factor: 4.677

7.  Different patterns of local field potentials from limbic DBS targets in patients with major depressive and obsessive compulsive disorder.

Authors:  W-J Neumann; J Huebl; C Brücke; L Gabriëls; M Bajbouj; A Merkl; G-H Schneider; B Nuttin; P Brown; A A Kühn
Journal:  Mol Psychiatry       Date:  2014-02-11       Impact factor: 15.992
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.