Literature DB >> 10482384

Relationship between brain electrical activity and cortical perfusion in normal subjects.

A F Leuchter1, S H Uijtdehaage, I A Cook, R O'Hara, M Mandelkern.   

Abstract

Cerebral glucose uptake and perfusion are accepted as tightly coupled measures of energy utilization in both normal and diseased brain. The coupling of brain electrical activity to perfusion has been demonstrated, however, only in the presence of chronic brain disease. Very few studies have examined the relationship between cerebral electrical activity and energy utilization in normal brain tissue. To clarify this relationship, we performed 33 H2(15)O-positron emission tomography (PET) scans in six normal subjects both at rest and during a simple motor task, and acquired surface-recorded quantitative electroencephalogram (QEEG) data simultaneously with isotope injection. We examined the associations between cerebral perfusion directly underlying each recording electrode and three QEEG measures (absolute power, relative power, and cordance). All EEG measures had moderately strong coupling with perfusion at most frequency bands, although the directions of the associations differed from those previously reported in subjects with stroke or dementia. Of the three QEEG measures examined, cordance had the strongest relationship with perfusion (multiple R2 = 0.58). Cordance and PET were equally effective in detecting lateralized activation associated with the motor task, while EEG power did not detect this activation. Electrodes in the concordant state had a significantly higher mean perfusion than those in the discordant state. These results indicate that normal brain electrical activity has a moderately strong association with cerebral perfusion. Cordance may be the most useful QEEG measure for monitoring cerebral perfusion in subjects without chronic brain disease.

Entities:  

Mesh:

Year:  1999        PMID: 10482384     DOI: 10.1016/s0925-4927(99)00006-2

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  21 in total

1.  Rolandic alpha and beta EEG rhythms' strengths are inversely related to fMRI-BOLD signal in primary somatosensory and motor cortex.

Authors:  Petra Ritter; Matthias Moosmann; Arno Villringer
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

2.  An introduction to normalization and calibration methods in functional MRI.

Authors:  Thomas T Liu; Gary H Glover; Bryon A Mueller; Douglas N Greve; Gregory G Brown
Journal:  Psychometrika       Date:  2012-12-29       Impact factor: 2.500

3.  Pretreatment neurophysiological and clinical characteristics of placebo responders in treatment trials for major depression.

Authors:  Andrew F Leuchter; Melinda Morgan; Ian A Cook; Jennifer Dunkin; Michelle Abrams; Elise Witte
Journal:  Psychopharmacology (Berl)       Date:  2004-07-14       Impact factor: 4.530

Review 4.  Biomarkers to predict antidepressant response.

Authors:  Andrew F Leuchter; Ian A Cook; Steven P Hamilton; Katherine L Narr; Arthur Toga; Aimee M Hunter; Kym Faull; Julian Whitelegge; Anne M Andrews; Joseph Loo; Baldwin Way; Stanley F Nelson; Steven Horvath; Barry D Lebowitz
Journal:  Curr Psychiatry Rep       Date:  2010-12       Impact factor: 5.285

5.  Rostral anterior cingulate cortex theta current density and response to antidepressants and placebo in major depression.

Authors:  Alexander S Korb; Aimee M Hunter; Ian A Cook; Andrew F Leuchter
Journal:  Clin Neurophysiol       Date:  2009-06-17       Impact factor: 3.708

6.  Antidepressant response trajectories and quantitative electroencephalography (QEEG) biomarkers in major depressive disorder.

Authors:  Aimee M Hunter; Bengt O Muthén; Ian A Cook; Andrew F Leuchter
Journal:  J Psychiatr Res       Date:  2009-07-24       Impact factor: 4.791

7.  Midline and right frontal brain function as a physiologic biomarker of remission in major depression.

Authors:  Ian A Cook; Aimee M Hunter; Michelle Abrams; Barbara Siegman; Andrew F Leuchter
Journal:  Psychiatry Res       Date:  2009-10-22       Impact factor: 3.222

Review 8.  Electroencephalogram-based pharmacodynamic measures: a review.

Authors:  Michael Bewernitz; Hartmut Derendorf
Journal:  Int J Clin Pharmacol Ther       Date:  2012-03       Impact factor: 1.366

9.  Evaluation of quantitative EEG by classification and regression trees to characterize responders to antidepressant and placebo treatment.

Authors:  M Rabinoff; C M R Kitchen; I A Cook; A F Leuchter
Journal:  Open Med Inform J       Date:  2011-02-11

10.  Dejian mind-body intervention improves the functioning of a patient with chronic epilepsy: a case report.

Authors:  Agnes S Chan; Sophia L Sze; Mei-Chun Cheung; Joseph Mk Lam; Dejian Shi
Journal:  Cases J       Date:  2009-11-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.