Disturbed oscillatory brain dynamics in subcortical ischemic vascular dementia

BMC Neuroscience

Cornelis J Stam⁵  Ted Koene²  Frederik Barkhof¹  Wiesje M van der Flier³  Philip Scheltens⁴  Hanneke de Waal⁴  Willem de Haan⁴  Elisabeth CW van Straaten⁵ 

[1] Radiology, VU University Medical Center, Amsterdam, Netherlands;Medical Psychology, VU University Medical Center, Amsterdam, Netherlands;Epidemiology & biostatistics, VU University Medical Center, Amsterdam, Netherlands;Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands;Department of Clinical Neurophysiology, VU University Medical Center, de Boelelaan 1118, Amsterdam, 1081 HV, Netherlands

关键词: White matter;    Cognition;    Vascular dementia;    Relative power;    Spectral analysis;    Oscillations;    EEG;   

Others  :  1170627
DOI  :  10.1186/1471-2202-13-85

 received in 2012-03-13, accepted in 2012-07-24,  发布年份 2012

【 摘 要 】

Background

White matter hyperintensities (WMH) can lead to dementia but the underlying physiological mechanisms are unclear. We compared relative oscillatory power from electroencephalographic studies (EEGs) of 17 patients with subcortical ischemic vascular dementia, based on extensive white matter hyperintensities (SIVD-WMH) with 17 controls to investigate physiological changes underlying this diagnosis.

Results

Differences between the groups were large, with a decrease of relative power of fast activity in patients (alpha power 0.25 ± 0.12 versus 0.38 ± 0.13, p = 0.01; beta power 0.08 ± 0.04 versus 0.19 ± 0.07; p<0.001) and an increase in relative powers of slow activity in patients (theta power 0.32 ± 0.11 versus 0.14 ± 0.09; p<0.001 and delta power 0.31 ± 0.14 versus 0.23 ± 0.09; p<0.05). Lower relative beta power was related to worse cognitive performance in a linear regression analysis (standardized beta = 0.67, p<0.01).

Conclusions

This pattern of disturbance in oscillatory brain activity indicate loss of connections between neurons, providing a first step in the understanding of cognitive dysfunction in SIVD-WMH.

【 授权许可】

   
2012 van Straaten et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

Figure 3.

【 参考文献 】

• [1]Erkinjuntti T, Gauthier S: The concept of vascular cognitive impairment. Front Neurol Neurosci 2009, 24:79-85.
• [2]Buzsaki G: Rhythms of the brain. 1st edition. Oxford University Press, New York; 2006.
• [3]Jeong J: EEG dynamics in patients with Alzheimer’s disease. Clin Neurophysiol 2004, 115:1490-1505.
• [4]Bonanni L, Thomas A, Tiraboschi P, Perfetti B, Varanese S, Onofrj M: EEG comparisons in early Alzheimer’s disease, dementia with Lewy bodies and Parkinson’s disease with dementia patients with a 2-year follow-up. Brain 2008, 131:690-705.
• [5]Babiloni C, Binetti G, Cassetta E, Cerboneschi D, Dal FG, Del PC, et al.: Mapping distributed sources of cortical rhythms in mild Alzheimer’s disease. A multicentric EEG study. NeuroImage 2004, 22:57-67.
• [6]Erkinjuntti T, Larsen T, Sulkava R, Ketonen L, Laaksonen R, Palo J: EEG in the differential diagnosis between Alzheimer’s disease and vascular dementia. Acta Neurol Scand 1988, 77:36-43.
• [7]Liedorp M, van der Flier WM, Hoogervorst EL, Scheltens P, Stam CJ: Associations between patterns of EEG abnormalities and diagnosis in a large memory clinic cohort. Dement Geriatr Cogn Disord 2009, 27:18-23.
• [8]Signorino M, Pucci E, Brizioli E, Cacchio G, Nolfe G, Angeleri F: EEG power spectrum typical of vascular dementia in a subgroup of Alzheimer patients. Arch Gerontol Geriatr 1996, 23:139-151.
• [9]Gawel M, Zalewska E, Szmidt-Salkowska E, Kowalski J: Does EEG (visual and quantitative) reflect mental impairment in subcortical vascular dementia? J Neurol Sci 2007, 257:11-16.
• [10]Moretti DV, Babiloni C, Binetti G, Cassetta E, Dal FG, Ferreric F, et al.: Individual analysis of EEG frequency and band power in mild Alzheimer’s disease. Clin Neurophysiol 2004, 115:299-308.
• [11]Gawel M, Zalewska E, Szmidt-Salkowska E, Kowalski J: The value of quantitative EEG in differential diagnosis of Alzheimer's disease and subcortical vascular dementia. J Neurol Sci 2009, 283:127-133.
• [12]Pohjasvaara T, Mantyla R, Ylikoski R, Kaste M, Erkinjuntti T: Comparison of different clinical criteria (DSM-III, ADDTC, ICD-10, NINDS-AIREN, DSM-IV) for the diagnosis of vascular dementia. National Institute of Neurological Disorders and Stroke-Association Internationale pour la Recherche et l’Enseignement en Neurosciences. Stroke 2000, 31:2952-2957.
• [13]Wang XJ: Neurophysiological and computational principles of cortical rhythms in cognition. Physiol Rev 2010, 90:1195-1268.
• [14]Steriade M: Grouping of brain rhythms in corticothalamic systems. Neuroscience 2006, 137:1087-1106.
• [15]Bosma I, Stam CJ, Douw L, Bartolomei F, Heimans JJ, van Dijk BW, et al.: The influence of low-grade glioma on resting state oscillatory brain activity: a magnetoencephalography study. J Neurooncol 2008, 88:77-85.
• [16]Kaplan PW: The EEG in metabolic encephalopathy and coma. J Clin Neurophysiol 2004, 21:307-318.
• [17]Stam CJ: Dementia and EEG. In Niedermeyer’s Electroencephalography. Basic principles, clinical applications, and related fields. Edited by Schomer DL, Silva FH L. Lippincott Williams and Wilkins, Philadelphia; 2011:375-393.
• [18]Wang XJ, Buzsaki G: Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. J Neurosci 1996, 16:6402-6413.
• [19]Borgers C, Kopell N: Synchronization in networks of excitatory and inhibitory neurons with sparse, random connectivity. Neural Comput 2003, 15:509-538.
• [20]Spencer KM: The functional consequences of cortical circuit abnormalities on gamma oscillations in schizophrenia: insights from computational modeling. Front Hum Neurosci 2009, 3:33.
• [21]Roman GC, Tatemichi TK, Erkinjuntti T, Cummings JL, Masdeu JC, Garcia JH, et al.: Vascular dementia: diagnostic criteria for research studies. Report of the NINDS-AIREN International Workshop. Neurology 1993, 43:250-260.
• [22]Wahlund LO, Barkhof F, Fazekas F, Bronge L, Augustin M, Sjogren M, et al.: A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke 2001, 32:1318-1322.
• [23]van Straaten EC, Scheltens P, Knol DL, van Buchem MA, van Dijk EJ, Hofman PA, et al.: Operational definitions for the NINDS-AIREN criteria for vascular dementia: an interobserver study. Stroke 2003, 34:1907-1912.
• [24]McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM: Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 1984, 34:939-944.
• [25]Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA: MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am J Roentgenol 1987, 149:351-356.
• [26]Whitham EM, Pope KJ, Fitzgibbon SP, Lewis T, Clark CR, Loveless S, et al.: Scalp electrical recording during paralysis: quantitative evidence that EEG frequencies above 20 Hz are contaminated by EMG. Clin Neurophysiol 2007, 118:1877-1888.
• [27]Folstein MF, Folstein SE, McHugh PR: “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975, 12:189-198.
• [28]Reitan R: Validity of the Trail Making test as an indicator of organic brain damage. Percept Mot Skills 1958, 8:271-276.
• [29]Spreen O, Straus E: A compendium of neuropsychological tests: administration, norms and commentary. 2nd edition. Oxford University Press, New York; 1998.
• [30]Rey A: L’examen clinique en psychologie. Presses Universitaires de France, Paris; 1964.