MEG spectral profile in Alzheimer's disease and mild cognitive impairment

Fernández, Alberto; Hornero, Roberto; Mayo, A.; Poza, Jesús; Gil-Gregorio, Pedro; Ortiz, Tomás

doi:10.1016/j.clinph.2005.10.017

Cited by 116 publications

(104 citation statements)

References 46 publications

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“…Moreover, all spectral ratios were able to retain more than 83% of variance with just PC 1 . These findings are in agreement with those obtained in previous MEG studies, which only analysed PC 1 due to the redundancy of the data [32,33,41].…”

Section: Resultssupporting

confidence: 93%

“…Additionally, spontaneous MEG activity shows increased slow rhythms and reduced fast activity in AD patients in comparison with healthy subjects [29−31]. This fact has also been observed using some spectral parameters like mean frequency [32,33] and individual alpha peak [30,33,34].…”

Section: Introductionmentioning

confidence: 81%

“…However, it should be noticed that some authors point out that there is no ideal solution to the problem of dimensionality in a PCA [39] or that selection rules offer little advantage over simple schemes in most circumstances [38]. In this sense, previous EEG and MEG studies only retained the first principal component (PC 1 ), since the explained variance for the calculated parameters was higher than 72% [32,33,40,41]. In the present work, we applied a similar PCA scheme to summarise the variability of each parameter.…”

Section: Spectral Analysis and Ratio Definitionmentioning

confidence: 99%

“…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%

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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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Section: Resultssupporting

confidence: 93%

Section: Introductionmentioning

confidence: 81%

Section: Spectral Analysis and Ratio Definitionmentioning

confidence: 99%

Section: Insert Table 4 About Herementioning

confidence: 99%

See 2 more Smart Citations

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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“…22 These analyses seem to discriminate AD patients from control subjects through an increased EEG/MEG activity in lower frequency bands associated with AD. 10,37 On the other hand, non-linear methods have also demonstrated their usefulness in the analysis of the EEG/MEG background activity in AD. 22,39 The first non-linear methods used to study the brain recordings from AD patients were correlation dimension (D2) and the first Lyapunov exponent (L1).…”

Section: Nowadays Electroencephalography (Eeg) and Magnetoencephalogmentioning

confidence: 99%

Analysis of MEG Background Activity in Alzheimer’s Disease Using Nonlinear Methods and ANFIS

et al. 2009

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Neurochemical organization of cortical proteinopathy and neurophysiology along the Alzheimer's disease continuum

Wiesman,

Gallego‐Rudolf,

Villeneuve

et al. 2024

Alzheimer's & Dementia

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INTRODUCTIONDespite parallel research indicating amyloid‐β accumulation, alterations in cortical neurophysiological signaling, and multi‐system neurotransmitter disruptions in Alzheimer's disease (AD), the relationships between these phenomena remains unclear.METHODSUsing magnetoencephalography, positron emission tomography, and an atlas of 19 neurotransmitters, we studied the alignment between neurophysiological alterations, amyloid‐β deposition, and the neurochemical gradients of the cortex.RESULTSIn patients with mild cognitive impairment and AD, changes in cortical rhythms were topographically aligned with cholinergic, serotonergic, and dopaminergic systems. These alignments correlated with the severity of clinical impairments. Additionally, cortical amyloid‐β plaques were preferentially deposited along neurochemical boundaries, influencing how neurophysiological alterations align with muscarinic acetylcholine receptors. Most of the amyloid‐β‐neurochemical and alpha‐band neuro‐physio‐chemical alignments replicated in an independent dataset of individuals with asymptomatic amyloid‐β accumulation.DISCUSSIONOur findings demonstrate that AD pathology aligns topographically with the cortical distribution of chemical neuromodulator systems and scales with clinical severity, with implications for potential pharmacotherapeutic pathways.Highlights Changes in cortical rhythms in Alzheimer's are organized along neurochemical boundaries. The strength of these alignments is related to clinical symptom severity. Deposition of amyloid‐β (Aβ) is aligned with similar neurotransmitter systems. Aβ deposition mediates the alignment of beta rhythms with cholinergic systems. Most alignments replicate in participants with pre‐clinical Alzheimer's pathology.

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MEG spectral profile in Alzheimer's disease and mild cognitive impairment

Cited by 116 publications

References 46 publications

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

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

Analysis of MEG Background Activity in Alzheimer’s Disease Using Nonlinear Methods and ANFIS

Neurochemical organization of cortical proteinopathy and neurophysiology along the Alzheimer's disease continuum

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