Understanding early dementia: EEG, MRI, SPECT and memory evaluation

Moretti, Davide Vito

doi:10.1515/tnsci-2015-0005

Cited by 7 publications

(4 citation statements)

References 114 publications

(119 reference statements)

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“…The α3/α2 proportion was chosen because previous evidence of our group has demonstrated that patients with MCI with larger α3/α2 ratio are at major risk to develop AD. 19 – 22 Our results show that the MCI group with more significant α3/α2 ratio is characterized by a greater cortical decay than low and middle α3/α2 ratio groups, confirming earlier findings of our group. 32 – 46 Furthermore, greater decay is noticeable in two critical cerebral areas: the precuneus alongside the supramarginal gyrus (a cortical area having a place with the inferior parietal lobule) in the two hemispheres.…”

Section: Discussionsupporting

confidence: 90%

Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension

Moretti

2016

CIA

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Decay of the temporoparietal cortex is associated with prodromal Alzheimer’s disease (AD). Additionally, shrinkage of the temporoparietal cerebral area has been connected with an increase in α3/α2 electroencephalogram (EEG) power ratio in prodromal AD. Furthermore, a lower regional blood perfusion has been exhibited in patients with a higher α3/α2 proportion when contrasted with low α3/α2 proportion. Furthermore, a lower regional blood perfusion and reduced hippocampal volume has been exhibited in patients with higher α3/α2 when contrasted with lower α3/α2 EEG power ratio. Neuropsychological evaluation, EEG recording, and magnetic resonance imaging were conducted in 74 patients with mild cognitive impairment (MCI). Estimation of cortical thickness and α3/α2 frequency power ratio was conducted for each patient. A subgroup of 27 patients also underwent single-photon emission computed tomography evaluation. In view of α3/α2 power ratio, the patients were divided into three groups. The connections among cortical decay, cerebral perfusion, and memory loss were evaluated by Pearson’s r coefficient. Results demonstrated that higher α3/α2 frequency power ratio group was identified with brain shrinkage and cutdown perfusion inside the temporoparietal projections. In addition, decay and cutdown perfusion rate were connected with memory shortfalls in patients with MCI. MCI subgroup with higher α3/α2 EEG power ratio are at a greater risk to develop AD dementia.

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Section: Discussionsupporting

confidence: 90%

Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension

Moretti

2016

CIA

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“…In addition, the PCC and precuneus are also closely related to memory processing, particularly episodic memory recall 36–38 . Previous studies have reported that scores on memory tests are negatively correlated with a decline of function in the PCC and precuneus in aMCI 39–42 . The results of the present study support the usefulness of combining functional assessment of the MP region and memory function assessment using SPECT for one of the features of aMCI.…”

Section: Discussionsupporting

confidence: 81%

Effect of different parietal hypoperfusion on neuropsychological characteristics in mild cognitive impairment

et al. 2021

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Background In early‐stage amnestic mild cognitive impairment (aMCI), differences in the neuropsychological characteristics of each individual are subtle. We investigated differences in neuropsychological performance between aMCI patients with and without hypoperfusion in the medial parietal regions (MP). We further compared patients with hypoperfusion in the left and right lateral parietal regions. Methods We examined 165 aMCI patients (mean age: 76.8 ± 5.5 years; 87 women) who had undergone neuropsychological measurement and single‐photon emission computed tomography. We classified participants into two subgroups with and without hypoperfusion: MP hypoperfusion (+) and MP hypoperfusion (−); classification was based on Z‐scores (calculated by three‐dimensional stereotactic surface projection technique) of three regions of interest in the parietal lobes (i.e. MP regions including posterior cingulate cortex and precuneus and left and right inferior parietal lobules (lateral parietal regions)). The MP hypoperfusion (−) group was classified into left lateral parietal hypoperfusion (+) and right lateral parietal hypoperfusion (+) subgroups. We performed either univariate or multivariate ancova to compare neuropsychological scores for continuous variables between groups and examined dichotomous variables using χ2 tests. Results In the overall aMCI sample, scores on logical memory delayed recall in the MP hypoperfusion (+) group were significantly lower than those in the MP hypoperfusion (−) group. Total scores on Rey‐Osterrieth Complex Figure Test delayed recall were also marginally lower in the MP hypoperfusion (+) group than in the MP hypoperfusion (−) group. Comparisons of neuropsychological test scores between the left and right lateral parietal hypoperfusion (+) groups revealed no significant differences. Conclusions The present findings suggest that MP hypoperfusion (+) is associated with more robust memory deficits than MP hypoperfusion (−). Combining neuropsychological tests and single‐photon emission computed tomography findings may be useful for early detection of cognitive decline in aMCI.

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“…Unspecified [11][12][13][14][15][16][17][18] Utilized several power spectra with different window lengths [19] Artifact removal [20][21][22][23][24] LORETA analysis [25][26][27] The duration of EEG is 2 to 4 s [28,29]…”

Section: Reason Papersmentioning

confidence: 99%

Frontotemporal EEG as potential biomarker for early MCI: a case–control study

et al. 2022

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Background Previous studies using EEG (electroencephalography) as biomarker for dementia have attempted to research, but results have been inconsistent. Most of the studies have extremely small number of samples (average N = 15) and studies with large number of data do not have control group. We identified EEG features that may be biomarkers for dementia with 120 subjects (dementia 10, MCI 33, against control 77). Methods We recorded EEG from 120 patients with dementia as they stayed in relaxed state using a single-channel EEG device while conducting real-time noise reduction and compared them to healthy subjects. Differences in EEG between patients and controls, as well as differences in patients’ severity, were examined using the ratio of power spectrum at each frequency. Results In comparing healthy controls and dementia patients, significant power spectrum differences were observed at 3 Hz, 4 Hz, and 10 Hz and higher frequencies. In patient group, differences in the power spectrum were observed between asymptomatic patients and healthy individuals, and between patients of each respective severity level and healthy individuals. Conclusions A study with a larger sample size should be conducted to gauge reproducibility, but the results implied the effectiveness of EEG in clinical practice as a biomarker of MCI (mild cognitive impairment) and/or dementia.

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Understanding early dementia: EEG, MRI, SPECT and memory evaluation

Cited by 7 publications

References 114 publications

Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension

Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension

Effect of different parietal hypoperfusion on neuropsychological characteristics in mild cognitive impairment

Frontotemporal EEG as potential biomarker for early MCI: a case–control study

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Understanding early dementia: EEG, MRI, SPECT and memory evaluation

Cited by 7 publications

References 114 publications

Electroencephalography-driven approach to prodromal Alzheimer&#39;s disease diagnosis: from biomarker integration to network-level comprehension

Electroencephalography-driven approach to prodromal Alzheimer&#39;s disease diagnosis: from biomarker integration to network-level comprehension

Effect of different parietal hypoperfusion on neuropsychological characteristics in mild cognitive impairment

Frontotemporal EEG as potential biomarker for early MCI: a case–control study

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Product

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Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension

Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension