Quantitative electroencephalography in mild cognitive impairment: longitudinal changes and possible prediction of Alzheimer’s disease

Jelić, Vesna; Johansson, Sven‐Erik; Almkvist, Ove; Shigeta, Masahiro; Julin, Per; Nordberg, Agneta; Winblad, Bengt; Wahlund, Lars‐Olof

doi:10.1016/s0197-4580(00)00153-6

Cited by 426 publications

(434 citation statements)

References 30 publications

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“…Finally, MCIs showed a higher synchronization in the gamma band between right anterior and central areas, which was related to a poorer performance in attention, memory, and executive function, while in the control group, this increase was localized in more posterior regions and was directly correlated with a greater hippocampal volume and higher scores in MMSE, Immediate and Delayed Recall, and Semantic Fluency. Most of these findings, and especially the decrease in synchronization in alpha and beta bands, are in agreement with those found in MCI and AD studies (Berendse et al 2000;Jelic et al 2000;Koenig et al 2005;Stam et al 2003;Moretti et al 2008;Gómez et al 2009), suggesting that MCI could be considered as the beginning of the "disconnection syndrome" (Delbeuck et al 2003). …”

Section: Control Group Vs MCI Groupsupporting

confidence: 88%

Synchronization during an internally directed cognitive state in healthy aging and mild cognitive impairment: a MEG study

López

Garcés

Cuesta

et al. 2014

AGE

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Mild cognitive impairment (MCI) is a stage between healthy aging and dementia. It is known that in this condition the connectivity patterns are altered in the resting state and during cognitive tasks, where an extra effort seems to be necessary to overcome cognitive decline. We aimed to determine the functional connectivity AGE (2014) pattern required to deal with an internally directed cognitive state (IDICS) in healthy aging and MCI. This task differs from the most commonly employed ones in neurophysiology, since inhibition from external stimuli is needed, allowing the study of this control mechanism. To this end, magnetoencephalographic (MEG) signals were acquired from 32 healthy individuals and 38 MCI patients, both in resting state and while performing a subtraction task of two levels of difficulty. Functional connectivity was assessed with phase locking value (PLV) in five frequency bands. Compared to controls, MCIs showed higher PLV values in delta, theta, and gamma bands and an opposite pattern in alpha, beta, and gamma bands in resting state. These changes were associated with poorer neuropsychological performance. During the task, this group exhibited a hypersynchronization in delta, theta, beta, and gamma bands, which was also related to a lower cognitive performance, suggesting an abnormal functioning in this group. Contrary to controls, MCIs presented a lack of synchronization in the alpha band which may denote an inhibition deficit. Additionally, the magnitude of connectivity changes rose with the task difficulty in controls but not in MCIs, in line with the compensation-related utilization of neural circuits hypothesis (CRUNCH) model.

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Section: Control Group Vs MCI Groupsupporting

confidence: 88%

Synchronization during an internally directed cognitive state in healthy aging and mild cognitive impairment: a MEG study

López

Garcés

Cuesta

et al. 2014

AGE

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“…AD patients show a decrease of coherence values at the α and β bands in EEG [14,15], together with a slowing of spontaneous electrical brain activity. An increase of the δ (0.5-4 Hz) and θ (4-8 Hz) power, along with a decrease of the α (8-13 Hz) and β (13-30 Hz) power have been widely reported in EEG studies [16][17][18][19]. Results are in accordance with those obtained defining several power ratios to study EEG recordings [20−24].…”

Section: Introductionsupporting

confidence: 81%

“…EEG and MEG slowing have not only been observed in AD, but also in other forms of dementia as mild cognitive impairment [18,19,32], vascular dementia [25,27], dementia associated with Parkinson's disease [26,48], Lewy body dementia [26,28,49], major depression [50,51], Huntington's chorea and progressive supranuclear palsy [16,26]. Further investigation should be attempted in order to study differences in slowing for every disorder.…”

Section: Insert Table 4 About Herementioning

confidence: 99%

“…Increase in slow activity has also been observed in the EEG spectral profile, where a spectrum shifted to the left [25] and the lack of a dominant activity in the 6.5-12 Hz frequency band [26] have been described. Similarly, several EEG studies considered some proper frequencies like mean frequency [19,20,25], individual alpha peak and transition frequency [27]. They found a decrease in characteristic frequencies associated to AD patients' EEG compared with control subjects.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease

Poza

Hornero

Abásolo

et al. 2008

Computer Methods and Programs in Biomedicine

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“…The quantitative analysis of electroencephalographic (EEG) rhythms in resting subjects is a low-cost but still powerful approach to the study of elderly subjects in normal aging, MCI and dementia (Gueguen et al, 1991;Maurer and Dierks, 1992;Leuchter et al, 1993;Schreiter-Gasser et al, 1993;Zappoli et al, 1995;Jelic et al, 1996Jelic et al, , 2000Huang et al, 2000;Bennys et al, 2001;Koenig et al, 2005;Babiloni et al, 2006a,b;Prichep et al, 2006;Rossini et al, 2006). The anchor point for a quantitative analysis of the EEG is the a rhythm, which dominates the EEG power spectrum in resting, awake and healthy subjects (Elul, 1972;Lopes da Silva et al, 1976Steriade and Llinas, 1988;Singer, 1993;Destexhe and Sejnowski, 1996;Klimesch, 1997Klimesch, , 1999Pfurtscheller and Lopes da Silva, 1999;Nunez et al, 2001;Suffczynski et al, 2001;Klimesch et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Vascular damage and EEG markers in subjects with mild cognitive impairment

Moretti

Miniussi

Frisoni

et al. 2007

Clinical Neurophysiology

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Objective: We evaluated the changes induced by cerebrovascular (CV) damage on brain rhythmicity recorded by electroencephalography (EEG) in a cohort of subjects with mild cognitive impairment (MCI). Methods: We enrolled 99 MCI subjects (Mini-Mental State Examination [MMSE] mean score 26.6). All subjects underwent EEG recording and magnetic resonance imaging (MRI). EEGs were recorded at rest. Individual EEG frequencies were indexed by the h/a transition frequency (TF) and by the individual a frequency (IAF) with power peak in the extended a range (5-14 Hz). Relative power was separately computed for d, h, a1, a2, and a3 frequency bands on the basis of the TF and IAF values. Subsequently, we divided the cohort in four sub-groups based on subcortical CV damage as scored by the age-related white matter changes scale (ARWMC). Results: CV damage was associated with 'slowing' of TF proportional to its severity. In the spectral bandpower the severity of vascular damage was associated with increased d power and decreased a2 power. No association of vascular damage was observed with IAF and a3 power. Moreover, the h/a1 ratio could be a reliable index for the estimation of the individual extent of CV damage. Conclusions: EEG analysis may show physiological markers sensitive to CV damage. The appropriate use of this EEG index may help the differential diagnosis of different forms of cognitive decline, namely primary degenerative and secondary to CV damage. Significance: The EEG neurophysiological approach, together with anatomical features from imaging, could be helpful in the understanding of the functional substrate of dementing disorders.

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Quantitative electroencephalography in mild cognitive impairment: longitudinal changes and possible prediction of Alzheimer’s disease

Cited by 426 publications

References 30 publications

Synchronization during an internally directed cognitive state in healthy aging and mild cognitive impairment: a MEG study

Synchronization during an internally directed cognitive state in healthy aging and mild cognitive impairment: a MEG study

Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease

Vascular damage and EEG markers in subjects with mild cognitive impairment

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