Sources of cortical rhythms change as a function of cognitive impairment in pathological aging: a multicenter study

Babiloni, Claudio; Binetti, Giuliano; Cassetta, Emanuele; Forno, Gloria Dal; Percio, Claudio Del; Ferreri, Florinda; Ferri, Raffaele; Frisoni, Giovanni B.; Hirata, Koichi; Lanuzza, Bartolo; Miniussi, Carlo; Moretti, Davide; Nobili, Flavio; Rodriguez, Guido; Romani, Gian Luca; Salinari, S.; Rossini, Paolo Maria

doi:10.1016/j.clinph.2005.09.019

Cited by 275 publications

(335 citation statements)

References 153 publications

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“…Diffuse low frequent activity on quantitative EEG is seen in AD and correlates with disease stage [1,11,44]. Increase of relative theta power by itself or in combination with changes in other frequencies has in several studies differentiated early forms of AD from controls, and has showed intermediate characteristics in MCI [11,29,30,33,44,48].…”

Section: Introductionmentioning

confidence: 99%

Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years

Stomrud

Hansson

Minthon

et al. 2010

Neurobiology of Aging

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Section: Introductionmentioning

confidence: 99%

Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years

Stomrud

Hansson

Minthon

et al. 2010

Neurobiology of Aging

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“…The most stable pattern of EEG activity in MCI patients is defined by an increase in theta accompanied by a decrease of alpha and beta power, which correlates with APOE genotype, and hippocampal volumes (Babiloni et al 2006b(Babiloni et al , c, 2009Grunwald et al 2002;Prichep et al 2006). When the progression to AD was investigated, alpha and theta relative power in left temporooccipital derivation correctly classified 85 % of MCI subjects who would suffer dementia .…”

Section: Introductionmentioning

confidence: 99%

MEG spectral analysis in subtypes of mild cognitive impairment

López

Cuesta

Garcés

et al. 2014

AGE

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Mild cognitive impairment (MCI) has been described as an intermediate stage between normal aging and dementia. Previous studies characterized the alterations of brain oscillatory activity at this stage, but little is known about the differences between single and multidomain amnestic MCI patients. In order to study the patterns of oscillatory magnetic activity in amnestic MCI subtypes, a total of 105 subjects underwent an eyes-closed resting-state magnetoencephalographic recording: 36 healthy controls, 33 amnestic single domain MCIs (a-sd-MCI), and 36 amnestic multidomain MCIs (a-md-MCI). Relative power values were calculated and AGE (2014) compared among groups. Subsequently, relative power values were correlated with neuropsychological tests scores and hippocampal volumes. Both MCI groups showed an increase in relative power in lower frequency bands (delta and theta frequency ranges) and a decrease in power values in higher frequency bands (alpha and beta frequency ranges), as compared with the control group. More importantly, clear differences emerged from the comparison between the two amnestic MCI subtypes. The a-md-MCI group showed a significant power increase within delta and theta ranges and reduced relative power within alpha and beta ranges. Such pattern correlated with the neuropsychological performance, indicating that the a-md-MCI subtype is associated not only with a "slowing" of the spectrum but also with a poorer cognitive status. These results suggest that a-md-MCI patients are characterized by a brain activity profile that is closer to that observed in Alzheimer disease. Therefore, it might be hypothesized that the likelihood of conversion to dementia would be higher within this subtype.

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“…Causal relationships between the neural sources of EEG-alpha rhythm were estimated by using measurements of functional directionality based on Granger causality [Kaminski et al, 2001], and the significance of directional strength evaluated with surrogated data. Since previous evidence has shown that the presence of the allele ε4 in the apoliprotein E (ApoE) not only increases the risk of developing AD [Caselli et al, 2007;Wang et al, 2002;Corder et al 1993] but also correlates with changes in the cortical dynamics of alpha rhythm [Babiloni et al, 2006], both probability of source activation and direction of synaptic flow between EEG-alpha sources were compared between carriers and non-carriers of the allele ε4 in controls and MCI groups.…”

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confidence: 99%

“…EEG measurements emerge from summated excitatory and inhibitory postsynaptic potentials primarily generated by synaptic activity of large pyramidal neurons [Lopes da Silva and Van Rotterdam, 1993]. Among EEG oscillations, the alpha rhythm has been reported to be typically affected in AD patients [Huang et al, 2000;Osipova et al, 2005;Babiloni et al, 2006]. Alpha waves are intrinsically generated by synaptic networks of neocortical pyramidal neurons in layer 5 by means of the tonic activation of N-methyl-D-aspartate receptors with endogenous glutamate [Silva and Connors, 1991].…”

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confidence: 99%

Functional integrity of thalamocortical circuits differentiates normal aging from mild cognitive impairment

Cantero¹,

Atienza²,

Gómez-Herrero³

et al. 2009

Human Brain Mapping

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Resonance in thalamocortical networks is critically involved in sculpting oscillatory behavior in large ensembles of neocortical cells. Neocortical oscillations provide critical information about the integrity of thalamocortical circuits and functional connectivity of cortical networks, which seem to be significantly disrupted by the neuronal death and synapse loss characterizing Alzheimer's disease (AD). By applying a novel analysis methodology to overcome volume conduction effects between scalp electroencephalographic (EEG) measurements, we were able to estimate the temporal activation of EEG‐alpha sources in the thalamus and parieto‐occipital regions of the cortex. We found that synaptic flow underlying the lower alpha band (7.5–10 Hz) was abnormally facilitated in patients with mild cognitive impairment (MCI) as compared to healthy elderly individuals, particularly from thalamus to cortex (∼38% higher). In addition, the thalamic generator of lower alpha oscillations was also abnormally activated in patients with MCI. Regarding the upper alpha subdivision (10.1–12.5 Hz), both controls and patients with MCI showed a bidirectional decrease of thalamocortical synaptic transmission, which was age‐dependent only in the control group. Altogether, our results suggest that functional dynamics of thalamocortical networks differentiate individuals at high risk of developing AD from healthy elderly subjects, supporting the hypothesis that neurodegeneration mechanisms are active years before the patient is clinically diagnosed with dementia. Hum Brain Mapp, 2009. © 2009 Wiley‐Liss, Inc.

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Sources of cortical rhythms change as a function of cognitive impairment in pathological aging: a multicenter study

Abstract: The present functional data on large populations support the 'transitional hypothesis' of a shadow zone across normality, pre-clinical stage of dementia (MCI), and AD.

Cited by 275 publications

References 153 publications

Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years

Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years

MEG spectral analysis in subtypes of mild cognitive impairment

Functional integrity of thalamocortical circuits differentiates normal aging from mild cognitive impairment

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