Conversion of mild cognitive impairment patients in Alzheimer’s disease: prognostic value of Alpha3/Alpha2 electroencephalographic rhythms power ratio
Tóm tắt
The increase in electroencephalogram (EEG) alpha3/alpha2 frequency power ratio has been demonstrated as a biomarker characteristic of subjects with mild cognitive impairment (MCI) who will develop Alzheimer’s disease (AD). Seventy-four adult subjects with MCI underwent clinical and neuropsychological evaluation, EEG recording, and high-resolution 3D magnetic resonance imaging (MRI). This group has been evaluated after a three years follow-up. Twenty-seven of these subjects underwent perfusion single-photon emission computed tomography (SPECT) evaluation also. Increasing alpha3/alpha2 power ratio, was computed for each subject. Differences in EEG markers, cortical thickness, brain perfusion among the groups were estimated. In the higher alpha3/alpha2 frequency power ratio group, greater memory impairment was correlated with greater cortical atrophy and lower perfusional rate in the temporo-parietal cortex. After a follow-up of three years, these patients converted in AD. High EEG upper/low alpha power ratio was associated with cortical thinning and lower perfusion in the temporo-parietal lobe. Moreover, atrophy and lower perfusion rate were both significantly correlated with memory impairment in MCI subjects. The increase of EEG upper/low alpha frequency power ratio could be useful for identifying individuals at risk for progression to AD dementia and may be of value in the clinical context.
Tài liệu tham khảo
Dubois B, Feldman HH, Jacovaiss C, Dekosky ST, Barberger-Gateau P, Cummings J, et al. Research criteria for the diagnosis of Alzheimer’s disease: revising the NINCDS-ADRDA criteria. Lancet Neurol. 2007;6:734–46.
Galluzzi S, Geroldi C, Amicucci G, Bocchio-Chiavetto L, Bonetti M, Bonvicini C, et al. Supporting evidence for using biomarkers in the diagnosis of MCI due to AD. J Neurol. 2013;260(2):640-50. doi: 10.1007/s00415-012-6694-0.
Frisoni GB, Sabattoli F, Lee AD, Dutton RA, Toga AW, Thompson PM. In vivo neuropathology of the hippocampal formation in AD: a radial mapping MR-based study. Neuroimage. 2006;32:104–10.
Dickerson BC, Sperling RA. Large-scale functional brain network abnormalities in Alzheimer’s disease: insights from functional neuroimaging. Behav Neurol. 2009;21:63–75.
Frisoni GB, Pievani M, Testa C, Sabattoli F, Bresciani L, Bonetti M, et al. The topography of grey matter involvement in early and late onset Alzheimer’s disease. Brain. 2007;130:720–30.
Steriade M. Grouping of brain rhythms in corticothalamic systems. Neuroscience. 2006;137:1087–106.
Moretti DV, Claudio B, Giuliano B, Emanuele C, Gloria DF, Florinda F, et al. Individual analysis of EEG frequency and band power in mild Alzheimer’s disease. Clin Neurophysiol. 2004;115:299–308.
Moretti DV, Miniussi C, Frisoni G, Zanetti O, Binetti G, Geroldi C, et al. Vascular damage and EEG markers in subjects with mild cognitive impairment. Clin Neurophysiol. 2007;118:1866–76.
Yener GG, Emek-Savaş DD, Lizio R, Çavuşoğlu B, Carducci F, Ada E, et al. Frontal delta event-related oscillations relate to frontal volume in mild cognitive impairment and healthy controls. Int J Psychophysiol. 2015. doi: 10.1016/j.ijpsycho.2015.02.005.
Kipiński L, König R, Sielużycki C, Kordecki W. Application of modern tests for stationarity to single-trial MEG data: transferring powerful statistical tools from econometrics to neuroscience. Biol Cybern. 2011;105:183–95.
Moretti DV, Frisoni GB, Fracassi C, Pievani M, Geroldi C, Binetti G, et al. MCI patients’ EEGs show group differences between those who progress and those who do not progress to AD. Neurobiol Aging. 2011;32:563–71.
Frisoni GB, Prestia A, Zanetti O, et al. Markers of Alzheimer’s disease in a population attending a memory clinic. Alzheimers Dement. 2009;5:307–17.
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;12:189–98.
Hughes CP, Berg L, Danziger WL, Cohen LA, Martin RL. A new clinical rating scale for the staging of dementia. Br J Psychiatry. 1982;140:1225–30.
Rosen WG, Terry RD, Fuld PA, Katzman R, Peck A. Pathological verification of ischemic score in differentiation of dementias. Ann Neurol. 1980;7:486–8.
Lawton MP, Brodie EM. Assessment of older people: self maintaining and instrumental activity of daily living. J Gerontol. 1969;9:179–86.
Lezak M, Howieson D, Loring DW. Neuropsychological assessment. 4th ed. Oxford: University Press; 2004.
Bianchi A, Dai PM. Twenty years after Spinnler and Tognoni: new instruments in the Italian neuropsychologist’s toolbox. Neurol Sci. 2008;29:209–17. doi:10.1007/s10072-008-0970-x.
Spinnler H, Tognoni G. Standardizzazione e Taratura Italiana di Test Neuropsicologici, The Italian Journal of Neurological Sciences. 8th ed. Milano: Masson Italia Periodici; 1987. p. 1–120.
Brunet D, Murray MM, Michel CM.Spatiotemporal analysis of multichannel EEG: CARTOOL.Comput Intell Neurosci. 2011;2011:813870. doi: 10.1155/2011/813870.
Klimesch W. EEG-alpha rhythms and memory processes. Int J Psychophysiol. 1997;26:319–40.
Ségonne F, Dale AM, Busa E, Glessner M, Salat D, Hahn HK, et al. A hybrid approach to the skull stripping problem in MRI. Neuroimage. 2004;22:1060–75.
Caroli A, Testa C, Geroldi C, Nobili F, Guerra UP, Bonetti M, et al. Brain perfusion correlates of medial temporal lobe atrophy and white matter hyperintensities in mild cognitive impairment. J Neurol. 2007;254:1000–8.
Bonanni L, Perfetti B, Bifolchetti S, Taylor JP, Franciotti R, Parnetti L, et al. Quantitative electroencephalogram utility in predicting conversion of mild cognitive impairment to dementia with Lewy bodies. Neurobiol Aging. 2015;36:434–45. doi:10.1016/j.neurobiolaging.2014.07.
Moretti DV, Pievani M, Geroldi C, Binetti G, Zanetti O, Rossini PM, et al. EEG markers discriminate among different subgroup of patients with mild cognitive impairment. Am J Alzheimers Dis Other Demen. 2010;25:58–73.
Moretti DV, Frisoni GB, Pievani M, Fracassi C, Geroldi C, Calabria M, et al. Brain vascular damage of cholinergic pathways and E.E.G. markers in mild cognitive impairment 2008. J Alzheimers Disease. 2008;15:357–72.
Moretti DV, Frisoni GB, Binetti G, Zanetti O. Anatomical substrate and scalp EEG markers are correlated in subjects with cognitive impairment and Alzheimer’s disease. Front Psychiatr. 2011;1:1–9.
Moretti DV, Prestia A, Fracassi C, Geroldi C, Binetti G, Rossini PM, et al. Volumetric differences in mapped hippocampal regions correlate with increase of high alpha rhythm in Alzheimer’s disease. Int J Alzheimers Dis. 2011;2011:208218.
Moretti DV, Paternicò D, Binetti G, Zanetti O, Frisoni GB. EEG markers are associated to gray matter changes in thalamus and basal ganglia in subjects with mild cognitive impairment. Neuroimage. 2012;60:489–96.
Moretti DV, Prestia A, Fracassi C, Binetti G, Zanetti O, Frisoni GB. Specific EEG changes associated with atrophy of hippocampus in subjects with mild cognitive impairment and Alzheimer’s disease. Int J Alzheimers Dis. 2012;2012:253153.
Moretti DV, Zanetti O, Binetti G, Frisoni GB. Quantitative EEG markers in mild cognitive impairment: degenerative versus vascular brain impairment. Int J Alzheimers Dis. 2012;2012:917537.
Matsuda H. The role of neuroimaging in mild cognitive impairment. Neuropathology. 2007;27:570–7.
Bhattacharya BS, Coyle D, Maguire LP. Alpha and theta rhythm abnormality in Alzheimer’s disease: a study using a computational model. Adv Exp Med Biol. 2011;718:57–73.
Klimesch W, Doppelmayr M, Stadler W, Pöllhuber D, Sauseng P, Rohm D. Episodic retrieval is reflected by a process specific increase in human electroencephalographic theta activity. Neurosci Lett. 2001;302:49–52.
de Haan W, Mott K, van Straaten EC, Scheltens P, Stam CJ. Activity dependent degeneration explains hub vulnerability in Alzheimer’s disease. PLoS Comput Biol. 2012;8:e1002582. doi:10.1371/journal.pcbi.1002582.
Palop JJ, Mucke L. Synaptic depression and aberrant excitatory network activity in Alzheimer’s disease: two faces of the same coin? Neuromolecular Med. 2010;12:48–55.
Moretti DV, Paternicò D, Binetti G, Zanetti O, Frisoni GB. Analysis of grey matter in thalamus and basal ganglia based on EEG alpha3/alpha2 frequency ratio reveals specific changes in subjects with mild cognitive impairment. ASN Neuro. 2012;4:e00103. doi:10.1042/AN20120058.
Moretti DV, Paternicò D, Binetti G, Zanetti O, Frisoni GB. EEG upper/low alpha frequency power ratio relates to temporo-parietal brain atrophy and memory performances in mild cognitive impairment. Front Aging Neurosci. 2013;5:63. doi:10.3389/fnagi.2013.00063.
Moretti DV, Prestia A, Binetti G, Zanetti O, Frisoni GB. Increase of theta frequency is associated with reduction in regional cerebral blood flow only in subjects with mild cognitive impairment with higher upper alpha/low alpha EEG frequency power ratio; Front. Behav Neurosci. 2013;7:188. doi:10.3389/fnbeh.2013.00188.
Moretti DV, Paternicò G, Binetti O, Zanetti G, Frisoni B. Electroencephalographic upper/low alpha frequency power ratio relates to cortex thinning in mild cognitive impairment. Neurodegener Dis. 2014;14:18–30. doi:10.1159/000354863.
Zhang S, Li CS. Functional connectivity mapping of the human precuneus by resting state fMRI. Neuroimage. 2012;59:3548–62. doi:10.1016/j.neuroimage.2011.11.023.
Klimesch W, Schimke H, Doppelmayr M, Ripper B, Schwaiger J, Pfurtscheller G. Event-related desynchronization (ERD) and the Dm effect: does alpha desynchronization during encoding predict late recall performance? Int J Psychophysiol. 1996;24:47–60.
Jensen O, Mazaheri A. Shaping functional architecture by oscillatory alpha activity: gating by inhibition. Front Hum Neurosci. 2010;4:186. doi:10.3389/fnhum.2010.00186.
Schneidman E, Puchalla JL, Segev R, Harris RA, Bialek W, Berry MJ. Synergy from silence in a combinatorial neural code. J Neurosci. 2011;31:15732–41.
Kurimoto R, Ishii R, Canuet L, Ikezawa K, Iwase M, Azechi M, et al. Induced oscillatory responses during the Sternberg’s visual memory task in patients with Alzheimer’s disease and mild cognitive impairment. Neuroimage. 2012;59:4132–40.
Goard M, Dan Y. Basal forebrain activation enhances cortical coding of natural scenes. Nat Neurosci. 2009;12:1444–9.