assessment of cognitive impairment

Mahmoud, Mohamed; Said, Mohamed; Thabet, Mohamed; Ali, Hanan Yosef

doi:10.21608/smj.2017.40768

assessment of cognitive impairment

Document Type : Original Article

Authors

Department of Neurology and Psychiatry Faculty of Medicine, Sohag University

10.21608/smj.2017.40768

Abstract

Objective: assessment of the usefulness of quantitative electroencephalographic analysis as an indicator of cognitive impairment, we examined the correlation between Mini-Mental State Examination (MMSE) scores & Montreal Cognitive Assessment(MoCA) & intelligence quotation (IQ) on one hand and quantitative electroencephalographic (QEEG) power values in elderly patients and healthy controls on the other hand and conducting Stepwise multiple regression analysis to calculate the predicted MMSE score from the QEEG power values.
Methods: We evaluated brain function using QEEG in 29 elderly patients with memory complaints and 29 healthy volunteer and compared their results with their MMSE &MoCA& IQ scores.
Results: in our study we reached to a significant negative correlation between MMSE &MoCA& IQ scores. and QEEG relative theta Ɵ and delta δ power values and significant positive correlation was found between MMSE &MoCA& IQ scores. and QEEG relative alpha α and beta β power values. And the regression model created using relative QEEG and gender for predicting MMSE scores had an adjusted R² of 0.69.
Conclusions: These results suggest that QEEG analysis can be a helpful tool of cognitive testing in patients with abnormalities in memory

Keywords

References

1-Andreasen N, Blennow K, Sjodin C, Winblad B, Svardsudd K.(1999) Prevalence and incidence of clinically diagnosed memory impairments in a geographically defined general population in Sweden. The Pitea Dementia Project. Neuroepidemiology 18:144-55

2-Babiloni C, Cassetta E, Binetti G, Tombini M, Del Percio C, Ferreri F, Ferri R, Frisoni G, Lanuzza B, Nobili F, Parisi L, Rodriguez G, Frigerio L, Gurzı ` M, Prestia A, Vernieri F, Eusebi F, Rossini PM (2007) Resting EEG sources correlate with attentional span in mild cognitive impairment and Alzheimer’s disease. Eur J Neurosci 25:3742–3757.

3-Brookmeyer R, Gray S, Kawas C (1998) Projections of Alzheimer’s disease in the United States and the public health impact of delaying disease onset. Am J Public Health 88:1337–1342.

4-Chen R, Herskovits H. 2006. Network analysis of mild cognitive impairment. Neuroimage 29: 1252–1259

5-Chiaramonti R, Muscas GC, Paganini M, et al. 1997 Correlations of topo-graphical EEG features with clinical severity in mild and moderate dementia of Alzheimer type. Neuropsychobiology. 36:153–158.

6-Christian Luckhaus , Brigitte Grass-Kapanke , Ingo Blaeser , Ralf Ihl , TillmannSupprian ,Georg Winterer , Ju¨rgenZielasek and Ju¨rgenBrinkmeyer (2008) Quantitative EEG in progressing vs stable mild cognitive impairment (MCI): results of a 1-year follow-up study Int J Geriatr Psychiatry 23: 1148–1155.

7-Coben LA, Danziger W, Storandt M. A (1985) longitudinal EEG study of mild senile dementia of Alzheimer type: changes at 1 year and at 2.5 years.ElectroencephalogrClinNeurophysiol. 61:101–112.

8-Fernandez-Bouzas A, Harmony T, Marosi E, Fernandez T, Silva J, Rodriguez M, Bernal J, Reyes A, Casia´n G (1999) Evolution of cerebral edema and its relationship with power in theta band. ElectroencephalogrClinNeurophysiol 102:279–285.

9-Francisco J. Fraga1,2, Tiago H. Falk1*, Paulo A.M. Kanda3, Renato Anghinah3 (2013) Characterizing Alzheimer’s Disease Severity via Resting-Awake EEG Amplitude Modulation Analysis PLOS ONE 8 : 8 -7224.

10-Gawel M , E. Zalewska , E. Szmidt-Sałkowska, J. Kowalski. (2009) The value of quantitative EEG in differential diagnosis of Alzheimer's disease and subcortical vascular dementia Journal of the Neurological Sciences 127– 133.

11-Gianotti LRR, Künig G, Lehmann D, Faber PL, Pascual-Marqui RD, Kochi K . (2007) Correlation between disease severity and brain electric LORETA tomography in Alzheimer’s disease. ClinNeurophysiol 118:186 –96

12-Hooijer C, Jonker C, Posthuma J. (1990) Reliability, validity and follow-up of the EEG in senile dementia: sequelae of sequential measurement. ElectroencephalogrClin Neurophysiol.76:400–412.

13-Hsiao K, Czigler B, Salacz P, Csibri E, Molnar M.(2013) Changes of EEG spectra and coherence following performance in a cognitive task in Alzheimer’s disease. Int J Psychophysiol 65:252–60.

14-Huang J, Auchus AP. 2007. Diffusion tensor imaging of normal appearing white matter and its correlation with cognitive func-tioning in mild cognitive impairment and Alzheimer’s disease. Ann N Y AcadSci 1097: 259–264

15-Ji-Sun Kim , Seung-Hwan Lee ,Gewnhi Park , Sangrae Kim , Sung-Man Bae ,Do-Won Kim ,Chang-Hwan Im . (2012) Clinical Implications of Quantitative Electroencephalography and Current Source Density in Patients with Alzheimer’s Disease . Brain Topogr . 25:461–474.

16-Joji Onishi, Yusuke Suzuki, Kenichi Yoshiko, Shin Hibino, and Akihisa Iguchi. (2005) Predictive Model for Assessing Cognitive Impairment by Quantitative Electroencephalography. Cog BehavNeurol 18:179–18

17-Jorm AF, Jolley D (1998) The incidence of dementia: a meta-analysis. Neurology 51:728– 733.

18-Kai T, Asai Y, Sakuma K . (2005). Quantitative electroenceph-alogram analysis in dementia with Lewy bodies and Alzheimer’s disease. J. NeurolSci 237: 89–95.

19-Kim DH, Na DL, Yeon BG, Kang Y, Min KB, Lee SH, Lee SS, Lee MR, Pyo OJ, Park CB, Kim S, Bae SS (1999) Prevalence of dementia in the elderly of an urban community in Korea. Korean J Prev Med 32:306–316

20-Knott V, Mohr E, Mahoney C, Ilivitsky V (2001) Quantitative electroencephalography in Alzheimer’s disease: comparison with a control group, population norms and mental status. J Psychiatry Neurosci 26:106–116.

21-Kotchoubey B. (2005) Information processing in severe disorders of consciousness: vegetative state and minimally conscious state. ClinNeurophysiol 116:2441-2453.

22-Lee SH, Kwon GH, Park YM, Kim H, Lee KJ, Chung YC (2006) Low-resolution electromagnetic tomography (LORETA) source imaging compared with structural brain imaging in patients having organic brain lesion. J Korean NeuropsychiatrAssoc 45:199–207.

23-Mattia D, Babiloni F, Romigi Al . (2003). Quantitative EEG and dynamic susceptibility contrast MRI in Alzheimer’s disease: a correlative study. ClinNeurophysiol 114: 1210– 1216.

24-Nuwer M. (1997) Assessment of digital EEG, quantitative EEG, and EEG brain mapping:Report of the American Academy of Neurology and the American Clinical Neurophysiology Society. Neurology 49:277- 292.