Objective: The Test for the Early Detection of Dementia with Discrimination from Depression (TE4D) was developed as a screening instrument for mild dementia. We investigated the convergent validity of the TE4D to EEG and other psychometric tests in patients suffering from dementia and depression.

Method: In 47 patients suffering from Alzheimer's disease (ICD-10 F.00) and 16 patients with affective disorders (F30-F39) the tests TE4D, ADAS-cog, SKT, BCRS, MMSE were performed and an EEG recorded. Group differences were compared by t-tests and a regression analysis was calculated.

Results: The inter-test-correlations varied between rs = 0.77 and rs = 0.91. Significant differences between the diagnostic groups were found for all tests as well as for the frequency bands alpha and beta. For the qEEG, significant positive correlations were found between TE4D (Dementia subscore) and the mean frequency (r = 0.47), the peak frequency (r = 0.42), the frequency bands alpha (r = 0.59) and beta (r = 0.56) as well as negative correlations in the frequency bands delta (r = -0.23) and theta (r = -0.42). The mean frequency and the activity in the frequency bands alpha, beta2, delta and theta contributed to the regression equation. The correlation between regression equation and the TE4D was rs = 0.87. The other tests also correlated with the TE4D: ADAS rs = -0.75, MMST rs = 0.82, SKT rs = -0.74, BCRS rs = -0.83.

Conclusion: The TE4D showed convergent validity with the EEG parameters. Both the TE4D-score and the EEG-alterations correlated significantly with the degree of severity of Alzheimer's disease. This result underlines the assumption that the TE4D will be a useful instrument for the diagnostic process in dementia.

Download full-text PDF

Source
http://dx.doi.org/10.1002/gps.1162DOI Listing

Publication Analysis

Top Keywords

frequency bands
16
bands alpha
12
te4d
9
test early
8
early detection
8
detection dementia
8
dementia discrimination
8
discrimination depression
8
depression te4d
8
convergent validity
8

Similar Publications

Photic drive response in people with epilepsy: Exploring the interaction with background alpha rhythm.

Vision Res

January 2025

Eccles Institute of Neuroscience, John Curtin School of Medical Research, Australian National University, Acton, ACT, Australia. Electronic address:

Photic drive responses (PDRs) are used to explore cortical hyperexcitability. We quantified PDRs and interactions with the alpha rhythm in people with epilepsy (PwE). Fifteen PwE (mean age ± SD 47.

View Article and Find Full Text PDF

Objectives: The dynamics of monosodium urate (MSU) crystal changes across a range of serum urate concentrations in people with gout are unknown. This study aimed to systematically examine the relationship between serum urate and changes in dual-energy CT (DECT) urate volume in people with gout and stable serum urate concentrations.

Methods: Individual participant data were analysed from three studies of people with gout.

View Article and Find Full Text PDF

Introduction: Major Depressive Disorder (MDD) leads to dysfunction and impairment in neurological structures and cognitive functions. Despite extensive research, the pathophysiological mechanisms and effects of MDD on the brain remain unclear. This study aims to assess the impact of MDD on brain activity using EEG power spectral analysis and asymmetry metrics.

View Article and Find Full Text PDF

The CN stretch frequency of neutral, gas-phase 9-cyanoanthracene is 2207 cm (4.531 μm) based on high-resolution infrared absorption experiments coupled with a new hybrid anharmonic quantum chemical methodology. A broad band (full-width at half-maximum of 47 cm) is observed and assigned to multiple transitions, including the CN stretch fundamental and various combination bands that gather intensity from strong anharmonic coupling with the bright CN stretch.

View Article and Find Full Text PDF

Optimal frequency bands for pupillography for maximal correlation with HRV.

Sci Rep

January 2025

Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal.

Assessing cognitive load using pupillography frequency features presents a persistent challenge due to the lack of consensus on optimal frequency limits. This study aims to address this challenge by exploring pupillography frequency bands and seeking clarity in defining the most effective ranges for cognitive load assessment. From a controlled experiment involving 21 programmers performing software bug inspection, our study pinpoints the optimal low-frequency (0.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!