Quantitative Measurement of Delta Activity in Alzheimer's Disease

Hier, Daniel B.; Mangone, Carlos A.; Ganellen, Ronald J.; Warach, Joshua D.; Egeren, Richard Van; Perlik, Stuart; Gorelick, Philip B.

doi:10.1177/155005949102200309

Cited by 32 publications

(15 citation statements)

References 19 publications

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“…Studies that use qEEG in dementia patients are in agreement with conventional EEG findings and report increased delta or theta power, [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] a decreased mean frequency, 23,[27][28][29] decreased beta power, 24,30 and decreased occipital dominant frequency. 15,20 The amount of theta activity shows the best correlation with cognitive deterioration 25,[31][32][33][34][35] and clinical outcome in longitudinal follow-up.…”

Section: Introductionsupporting

confidence: 66%

Quantitative EEG Neurometric Analysis–Guided Neurofeedback Treatment in Dementia

et al. 2015

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Dementia is a debilitating degenerative disorder where the sufferer's cognitive abilities decline over time, depending on the type of dementia. The more common types of dementia include Alzheimer's disease and vascular or multi-infarct dementia. In this study, 20 subjects with dementia (9 of Alzheimer's type, and 11 with vascular dementia) were treated using qEEG-guided neurofeedback training. The Mini Mental Status Examination (MMSE) was used as the primary outcome measure. The results showed an increase of the MMSE scores for all subjects regardless of dementia type with an average MMSE score increase of 6 points, which was found to be significant. To our knowledge this is the first time the same modality was shown to be beneficial in both dementia groups.

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Section: Introductionsupporting

confidence: 66%

Quantitative EEG Neurometric Analysis–Guided Neurofeedback Treatment in Dementia

et al. 2015

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“…Increased power and connectivity of slow wave frequency bands (i.e., theta and beta) has consistently been observed in adult brain injury and disease, including TBI and Alzheimer's disease severity (Fernandez et al, ; Hier et al, ; Huang et al, ). This slow‐wave oscillatory activity has been observed both within and between brain regions (Bajo et al, ; Dunkley et al, ; Hier et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…Here, we provide novel evidence that children with PBT exhibit abnormalities in neural synchrony and hence communication across multiple functional brain networks in a resting state paradigm. We used a measure of FC-the FC strength score-derived from PLI Increased power and connectivity of slow wave frequency bands (i.e., theta and beta) has consistently been observed in adult brain injury and disease, including TBI and Alzheimer's disease severity (Fernandez et al, 2013;Hier et al, 1991;Huang et al, 2009). This slow-wave oscillatory activity has been observed both within and between brain regions (Bajo et al, 2015;Dunkley et al, 2015;Hier et al, 1991).…”

Section: Discussionmentioning

confidence: 99%

Disrupted network connectivity in pediatric brain tumor survivors is a signature of injury

Gauvreau

Lefebvre

Bells

et al. 2019

J of Comparative Neurology

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Cognition is compromised in pediatric brain tumor survivors but the neurophysiological basis of this compromise remains unclear. We hypothesized that reduced neural synchronization across brain networks is involved. To test this, we evaluated group differences using a retrospective cohort comparison design between 24 pediatric brain tumor survivors [11.81 ± 3.27)] and 24 age matched healthy children [12.04 ± 3.28)] in functional connectivity within a cerebellar network to examine local effects of the tumor, a whole brain network to examine diffuse effects of treatment (i.e., chemotherapy and radiation), and across multiple intrinsic connectivity networks. Neural activity was recorded during magnetoencephalography scanning while participants were at rest and functional connectivity within networks was measured using the phase lag index. We corroborated our findings using a computational model representing the local tumor effects on neural synchrony. Compared to healthy children, pediatric brain tumor survivors show increased functional connectivity for theta and beta frequency bands within the cerebellar network and increased functional connectivity for the theta band within the whole brain network that again localized to the cerebellum. Computational modeling showed that increased synchrony in the theta bad is observed following local clustering as well as sparse interarea brain connectivity. We also observed increased functional connectivity for the alpha frequency band in the ventral attention network and decreased functional connectivity within the gamma frequency band in the motor network within paedatric brain tumor survivors versus healthy children. Notably, increased gamma functional connectivity within the motor network predicted decreased reaction time on behavioral tasks in pediatric brain tumor survivors. Disrupted network synchrony may be a signature of neurological injury and disease.

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“…It is thought that the earliest changes in AD are an increase in theta activity and a decrease in beta activity, which are followed by a decrease in alpha and an increase in delta activity (Coben et al, 1983;Hier et al, 1991;Pentitila et al 1985). These changes are clearly different in normal aging and also in depression (Brenner et al, 1986), in which the amount of slow and fast activity is normal.…”

mentioning

confidence: 95%

Quantitative EEG Findings in Different Stages of Alzheimer’s Disease

Kwak¹

2006

Journal of Clinical Neurophysiology

114

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Although quantitative EEG (q-EEG) has been used in Alzheimer's disease (AD), q-EEG changes in AD are complex because of the progressive nature of this disease. The topographical spectral power and occipital peak frequency (OPF) were compared among elderly controls, patients with mild cognitive impairment (MCI), and patients with four stages of AD. In AD patients, except those with a Clinical Dementia Rating Scale (CDR) score of 0.5, OPF was lower than that of elderly controls. Compared with elderly controls, the left anterior alpha spectral power was reduced in CDR 0.5; both posterior theta spectral powers were increased and all alpha spectral powers were reduced in CDR 1; all alpha and beta spectral powers were reduced and theta spectral power was increased in CDR 2; and all alpha and beta spectral powers were reduced and all delta and theta spectral powers were increased in CDR 3. Patients with MCI exhibited a reduction in both centrotemporal, posterior delta and left anterior, centrotemporal theta fields. The Mini-Mental State Examination (MMSE) score was related to left OPF, right posterior delta and left anterior theta spectral power, in that order. This study suggests that q-EEG in MCI shows nonoverlapping features between controls and AD patients, and AD patients show dynamic changes as the disease progresses. Finally, the left OPF is the parameter most significantly correlated with MMSE score.

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Quantitative Measurement of Delta Activity in Alzheimer's Disease

Cited by 32 publications

References 19 publications

Quantitative EEG Neurometric Analysis–Guided Neurofeedback Treatment in Dementia

Quantitative EEG Neurometric Analysis–Guided Neurofeedback Treatment in Dementia

Disrupted network connectivity in pediatric brain tumor survivors is a signature of injury

Quantitative EEG Findings in Different Stages of Alzheimer’s Disease

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