Integrating "brain" and "body" measures: Correlations between EEG and metabolic changes over the human lifespan

Journal of Integrative Neuroscience

Volumn 6, Issue 1, 2007, Pages 205-218

  Boord, Peter R ^a   Rennie, Chris J ^a   Williams, Leanne M ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Age; Delta; EEG; Grey matter; Lifespan; Metabolism; Theta

Indexed keywords

ADOLESCENT; ADULT; AGE; AGED; ARTICLE; BASAL METABOLIC RATE; BODY MASS; BRAIN FUNCTION; BRAIN METABOLISM; CALCULATION; CENTRAL NERVOUS SYSTEM; CHILD; CONTROLLED STUDY; CORRELATION ANALYSIS; DELTA RHYTHM; ELECTROENCEPHALOGRAPHY; FEMALE; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; LIFESPAN; MALE; NEUROPHYSIOLOGY; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; REGRESSION ANALYSIS; SIGNAL DETECTION; THETA RHYTHM;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; AGING; BODY MASS INDEX; BODY WEIGHTS AND MEASURES; BRAIN; CHILD; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, STATISTICAL;

EID: 34248157701     PISSN: 02196352     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219635207001416     Document Type: Article

References (26)

1. Alper KR, John ER, Brodie J, Gunther W, Daruwala R, Prichep LS, Correlation of PET and qEEG in normal subjects, Psych Res 146 271-282, 2006.
2. Aurlien H, Gjerde IO, Aarseth JH, Eldoen G, Karlsen B, Skeidsvoll H, Gilhus NE, EEG background activity described by a large computerized database, Clin Neurophysiol 115:665-673, 2004.
3. Barlow JS, The Electroencephalogram: Its Patterns and Origins, MIT Press, Cambridge, Massachusetts, 1993.
4. Cole TJ, Henry CJK, The Oxford Brookes basal metabolic rate database - A reanalysis, Public Health Nutr 8:1202-1212, 2005.
5. Cole TJ, Pan H, British 1990 growth reference software, http://www.healthforallchildren.co.uk, Child Growth Foundation, 1998.
6. Coutin-Churchman P, Anez Y, Uzcategui M, Alvarez L, Vergara F, Mendez L, Fleitas R, Quantitative spectral analysis of EEG in psychiatry revisited: Drawing signs out of numbers in a clinical setting, Clin Neurophysiol 114:2294-2306, 2003.
7. Dekaban AS, Changes in brain weights during the span of human life: Relation of brain weights to body heights and body weights, Ann Neurol 4:345-356, 1978.
8. Dustman RE, Shearer DE, Emmerson RY, Life-span changes in EEG spectral amplitude, amplitude variability and mean frequency, Clin Neurophysiol 110:1399-1409, 1999.
9. Epstein HT, Stages of increased cerebral blood flow accompany stages of rapid brain growth, Brain Dev 21:535-539, 1999.
10. Gjegge A, Brain Energy Metabolism and the Physiological Basis of the Hemodynamic Response, Oxford University Press, Oxford, 2001.
11. Gordon E, Cooper N, Rennie C, Hermens D, Williams LM, Integrative neuroscience: The role of a standardized database, Clin EEG Neurosci 36:64-75, 2005.
12. Gratton G, Coles MGH, Donchin E, A new method for off-line removal of ocular artifact, Electroence Clin Neuro 55:468-484, 1983.
13. Harris JA, Benedict FG, A biometric study of human basal metabolism, Proc Natl Acad Sci USA 4:370-373, 1918.
14. Hofle N, Paus T, Reutens D, Fiset P, Gotman J, Evans AC, Jones BE, Regional cerebral blood flow changes as a function of delta and spindle activity during slow wave sleep in humans, J Neurosci 17 4800-4808, 1997.
15. John ER, Ahn H, Prichep L, Trepetin M, Brown D, Kaye H, Developmental equations for the electroencephalogram, Science 210 1255-1258, 1980.
16. McLennan W, Podger A, Nutrient Intakes and Physical Measurements, Australia 1995, National Nutrition Survey, Australian Bureau of Statistics, Australia, 1998.
17. Nagata K, Topographic EEG in brain ischemia - Correlation with blood flow and metabolism, Brain Topogr 1:97-106, 1988.
18. Oakes TR, Pizzagalli DA, Hendrick AM, Horras KA, Larson CL, Abercrombie HC, Schaefer SM, Koger JV, Davidson RJ, Functional coupling of simultaneous electrical and metabolic activity in the human brain, Hum Brain Mapp 21:257-270, 2004.
19. Prichep LS, Use of normative databases and statistical methods in demonstrating clinical utility of QEEG: Importance and cautions, Clin EEG Neuro 36:82-87, 2005.
20. Ramirez-Zea M, Validation of three predictive equations for basal metabolic rate in adults, Public Health Nutr 8:1213-1228, 2005.
21. Robinson PA, Drysdale PM, Van der Merwe H, Kyriakou E, Rigozzi MK, Germanoska B, Rennie CJ, BOLD responses to stimuli: Dependence on frequency, stimulus form, amplitude, and repetition rate, Neuroimage 31:585-599, 2006.
22. Szelies B, Mielke R, Kessler J, Heiss WD, EEG power changes are related to regional cerebral glucose metabolism in vascular dementia, Clin Neurophysiol 110:615-620, 1999.
23. Takada H, Nagata K, Hirata Y, Satoh Y, Watahiki Y, Sugawara J, Yokoyama E, Kondoh Y, Shishido F, Inugami A, Takada H, Nagata K, Hirata Y, Satoh Y, Watahiki Y, Sugawara J, Yokoyama E, Kondoh Y, Shishido F, Inugami A, Age-related decline of cerebral oxygen metabolism in normal population detected with positron emission tomography, Neurol Res 14 128-131, 1992.
24. Uylings HBM, de Brabander JM, Neuronal changes in normal human aging and Alzheimer's disease, Brain Cognition 49:268-276, 2002.
25. Whitford T, Rennie C, Grieve S, Clark C, Gordon E, Williams L, Brain maturation in adolescence: Concurrent changes in neuroanatomy and neurophysiology, Hum Brain Mapp 9:1196-1211, 2006.
26. Williams LM, Brown KJ, Palmer D, Liddell BJ, Kemp AH, Olivieri G, Peduto A, Gordon E, The mellow years? Neural basis of improving emotional stability over age, J Neurosci 26:6422-6430, 2006.