Literature DB >> 9343572

Cordance: a new method for assessment of cerebral perfusion and metabolism using quantitative electroencephalography.

A F Leuchter1, I A Cook, R B Lufkin, J Dunkin, T F Newton, J L Cummings, J K Mackey, D O Walter.   

Abstract

Increased slow-wave and decreased fast-wave activity on the electroencephalogram is common in brain dysfunction and may be caused by partial cortical deafferentation. No measure that is specific or sensitive for this deafferentation, however, has yet been reported. We studied a series of subjects with white-matter lesions undercutting the cortex and developed a method for analyzing electrical activity called "cordance" that has face validity as a measure of cortical deafferentation. Cordance is measured along a continuum of values: positive values denote "concordance," an indicator associated with normally functioning brain tissue; negative values denote "discordance," an indicator associated with undercutting lesions, low perfusion, and low metabolism. We present a series of subjects studied with magnetic resonance imaging, positron emission tomography, and single-photon emission computed tomography that demonstrate strong associations between cordance and other measures of brain structure and function.

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Year:  1994        PMID: 9343572     DOI: 10.1006/nimg.1994.1006

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  21 in total

1.  Frontal theta cordance predicts 6-month antidepressant response to subcallosal cingulate deep brain stimulation for treatment-resistant depression: a pilot study.

Authors:  James M Broadway; Paul E Holtzheimer; Matthew R Hilimire; Nathan A Parks; Jordan E Devylder; Helen S Mayberg; Paul M Corballis
Journal:  Neuropsychopharmacology       Date:  2012-03-14       Impact factor: 7.853

2.  Multiweek resting EEG cordance change patterns from repeated olfactory activation with two constitutionally salient homeopathic remedies in healthy young adults.

Authors:  Iris R Bell; Amy Howerter; Nicholas Jackson; Audrey J Brooks; Gary E Schwartz
Journal:  J Altern Complement Med       Date:  2012-05       Impact factor: 2.579

3.  An Electrophysiological Biomarker That May Predict Treatment Response to ECT.

Authors:  Katherine W Scangos; Richard D Weiner; Edward C Coffey; Andrew D Krystal
Journal:  J ECT       Date:  2019-06       Impact factor: 3.635

4.  The effectiveness of prefrontal theta cordance and early reduction of depressive symptoms in the prediction of antidepressant treatment outcome in patients with resistant depression: analysis of naturalistic data.

Authors:  Martin Bares; Tomas Novak; Miloslav Kopecek; Martin Brunovsky; Pavla Stopkova; Cyril Höschl
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2014-05-22       Impact factor: 5.270

Review 5.  Computational psychiatry as a bridge from neuroscience to clinical applications.

Authors:  Quentin J M Huys; Tiago V Maia; Michael J Frank
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

Review 6.  Multimodal approaches to define network oscillations in depression.

Authors:  Otis Lkuwamy Smart; Vineet Ravi Tiruvadi; Helen S Mayberg
Journal:  Biol Psychiatry       Date:  2015-01-28       Impact factor: 13.382

7.  Identification of Clinical Features and Biomarkers that may inform a Personalized Approach to rTMS for Depression.

Authors:  Sarah L Garnaat; Andrew M Fukuda; Shiwen Yuan; Linda L Carpenter
Journal:  Pers Med Psychiatry       Date:  2019-10-18

8.  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 9.  Electroencephalography and analgesics.

Authors:  Lasse Paludan Malver; Anne Brokjaer; Camilla Staahl; Carina Graversen; Trine Andresen; Asbjørn Mohr Drewes
Journal:  Br J Clin Pharmacol       Date:  2014-01       Impact factor: 4.335

10.  Using EEG to Predict Clinical Response to Electroconvulsive Therapy in Patients With Major Depression: A Comprehensive Review.

Authors:  Louis Simon; Martin Blay; Filipe Galvao; Jerome Brunelin
Journal:  Front Psychiatry       Date:  2021-06-24       Impact factor: 4.157

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