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van der Plas MC, Rasing I, Geraedts VJ, Tromp SC, Terwindt GM, van Dort R, Kaushik K, van Zwet EW, Tannemaat MR, Wermer MJH. Quantitative electroencephalography in cerebral amyloid angiopathy. Clin Neurophysiol 2024; 164:111-118. [PMID: 38861875 DOI: 10.1016/j.clinph.2024.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 04/14/2024] [Accepted: 05/22/2024] [Indexed: 06/13/2024]
Abstract
OBJECTIVE We investigated whether quantitative electroencephalography (qEEG) correlates with cognition and cortical superficial siderosis (cSS) in cerebral amyloid angiopathy. METHODS We included patients with sporadic (sCAA) and hereditary Dutch-type CAA (D-CAA). Spectral measures and the phase lag index (PLI) were analyzed on qEEG. Cognition was assessed with the MoCA and cSS presence was scored on 3T-MRI. Linear regression analyses were performed to investigate these qEEG measures and cognition. Independent samples T-tests were used to analyze the qEEG measure differences between participants with and without cSS. RESULTS We included 92 participants (44 D-CAA; 48 sCAA). A lower average peak frequency (β[95 %CI] = 0.986[0.252-1.721]; P = 0.009) and a higher spectral ratio (β[95 %CI] = -0.918[-1.761--0.075]; P = 0.033) on qEEG correlated with a lower MoCA score, irrespective of a history of symptomatic intracerebral hemorrhage (sICH). The PLI showed no correlation to the MoCA. qEEG slowing was not different in those with or without cSS. CONCLUSIONS Spectral qEEG (but not PLI) reflects cognitive performance in patients with CAA with and without a history of sICH. We found no association between qEEG slowing and cSS. SIGNIFICANCE qEEG could be a valuable biomarker, especially in challenging cognitive testing situations in CAA, and a potential predictive tool in future studies.
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Affiliation(s)
- M C van der Plas
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands.
| | - I Rasing
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands
| | - V J Geraedts
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands
| | - S C Tromp
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands
| | - G M Terwindt
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands
| | - R van Dort
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands
| | - K Kaushik
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands
| | - E W van Zwet
- Department of Biomedical Data Sciences, Leiden University Medical Center, Albinusdreef 2, 2300 RC Leiden, the Netherlands
| | - M R Tannemaat
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands
| | - M J H Wermer
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands; Department of Neurology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands
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Estarellas M, Huntley J, Bor D. Neural markers of reduced arousal and consciousness in mild cognitive impairment. Int J Geriatr Psychiatry 2024; 39:e6112. [PMID: 38837281 DOI: 10.1002/gps.6112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 05/23/2024] [Indexed: 06/07/2024]
Abstract
OBJECTIVES People with Alzheimer's Disease (AD) experience changes in their level and content of consciousness, but there is little research on biomarkers of consciousness in pre-clinical AD and Mild Cognitive Impairment (MCI). This study investigated whether levels of consciousness are decreased in people with MCI. METHODS A multi-site site magnetoencephalography (MEG) dataset, BIOFIND, comprising 83 people with MCI and 83 age matched controls, was analysed. Arousal (and drowsiness) was assessed by computing the theta-alpha ratio (TAR). The Lempel-Ziv algorithm (LZ) was used to quantify the information content of brain activity, with higher LZ values indicating greater complexity and potentially a higher level of consciousness. RESULTS LZ was lower in the MCI group versus controls, indicating a reduced level of consciousness in MCI. TAR was higher in the MCI group versus controls, indicating a reduced level of arousal (i.e. increased drowsiness) in MCI. LZ was also found to be correlated with mini-mental state examination (MMSE) scores, suggesting an association between cognitive impairment and level of consciousness in people with MCI. CONCLUSIONS A decline in consciousness and arousal can be seen in MCI. As cognitive impairment worsens, measured by MMSE scores, levels of consciousness and arousal decrease. These findings highlight how monitoring consciousness using biomarkers could help understand and manage impairments found at the preclinical stages of AD. Further research is needed to explore markers of consciousness between people who progress from MCI to dementia and those who do not, and in people with moderate and severe AD, to promote person-centred care.
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Affiliation(s)
- Mar Estarellas
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Experimental Psychology Department, University College London, London, UK
- Department of Psychology, Cambridge University, Cambridge, UK
| | - Jonathan Huntley
- Division of Psychiatry, University College London, London, UK
- Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Daniel Bor
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Department of Psychology, Cambridge University, Cambridge, UK
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Grosshans D, Thomas R, Zhang D, Cronkite C, Thomas R, Singh S, Bronk L, Morales R, Duman J. Subcellular functions of tau mediates repair response and synaptic homeostasis in injury. RESEARCH SQUARE 2024:rs.3.rs-3897741. [PMID: 38464175 PMCID: PMC10925419 DOI: 10.21203/rs.3.rs-3897741/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Injury responses in terminally differentiated cells such as neurons is tightly regulated by pathways aiding homeostatic maintenance. Cancer patients subjected to neuronal injury in brain radiation experience cognitive declines similar to those seen in primary neurodegenerative diseases. Numerous studies have investigated the effect of radiation in proliferating cells of the brain, yet the impact in differentiated, post-mitotic neurons, especially the structural and functional alterations remain largely elusive. We identified that microtubule-associated tau is a critical player in neuronal injury response via compartmentalized functions in both repair-centric and synaptic regulatory pathways. Ionizing radiation-induced injury acutely induces increase in phosphorylated tau in the nucleus and directly interacts with histone 2AX (H2AX), a DNA damage repair (DDR) marker. Loss of tau significantly reduced H2AX after irradiation, indicating that tau may play an important role in neuronal DDR response. We also observed that loss of tau increases eukaryotic elongation factor levels after irradiation, the latter being a positive regulator of protein translation. This cascades into a significant increase in synaptic proteins, resulting in disrupted homeostasis. Consequently, novel object recognition test showed decrease in learning and memory in tau-knockout mice after irradiation, and electroencephalographic activity showed increase in delta and theta band oscillations, often seen in dementia patients. Our findings demonstrate tau's previously undefined, multifunctional role in acute responses to injury, ranging from DDR response in the nucleus to synaptic function within a neuron. Such knowledge is vital to develop therapeutic strategies targeting neuronal injury in cognitive decline for at risk and vulnerable populations.
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Zawiślak-Fornagiel K, Ledwoń D, Bugdol M, Grażyńska A, Ślot M, Tabaka-Pradela J, Bieniek I, Siuda J. Quantitative EEG Spectral and Connectivity Analysis for Cognitive Decline in Amnestic Mild Cognitive Impairment. J Alzheimers Dis 2024; 97:1235-1247. [PMID: 38217593 DOI: 10.3233/jad-230485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2024]
Abstract
BACKGROUND Mild cognitive impairment (MCI) is considered to be the borderline of cognitive changes associated with aging and very early dementia. Cognitive functions in MCI can improve, remain stable or progress to clinically probable AD. Quantitative electroencephalography (qEEG) can become a useful tool for using the analytical techniques to quantify EEG patterns indicating cognitive impairment. OBJECTIVE The aim of our study was to assess spectral and connectivity analysis of the EEG resting state activity in amnestic MCI (aMCI) patients in comparison with healthy control group (CogN). METHODS 30 aMCI patients and 23 CogN group, matched by age and education, underwent equal neuropsychological assessment and EEG recording, according to the same protocol. RESULTS qEEG spectral analysis revealed decrease of global relative beta band power and increase of global relative theta and delta power in aMCI patients. Whereas, decreased coherence in centroparietal right area considered to be an early qEEG biomarker of functional disconnection of the brain network in aMCI patients. In conclusion, the demonstrated changes in qEEG, especially, the coherence patterns are specific biomarkers of cognitive impairment in aMCI. CONCLUSIONS Therefore, qEEG measurements appears to be a useful tool that complements neuropsychological diagnostics, assessing the risk of progression and provides a basis for possible interventions designed to improve cognitive functions or even inhibit the progression of the disease.
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Affiliation(s)
- Katarzyna Zawiślak-Fornagiel
- Department of Neurology, Prof. Kornel Gibiński University Clinical Center, Medical University of Silesia, Katowice, Poland
| | - Daniel Ledwoń
- Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland
| | - Monika Bugdol
- Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland
| | - Anna Grażyńska
- Department of Imaging Diagnostics and Interventional Radiology, Prof. Kornel Gibiński University Clinical Center, Medical University of Silesia, Katowice, Poland
| | - Maciej Ślot
- Department of Solid State Physics, Faculty of Physics and Applied Computer Science, University of Łódź, Łódź, Poland
| | - Justyna Tabaka-Pradela
- Department of Neurology, Prof. Kornel Gibiński University Clinical Center, Medical University of Silesia, Katowice, Poland
| | - Izabela Bieniek
- Department of Neurology, Prof. Kornel Gibiński University Clinical Center, Medical University of Silesia, Katowice, Poland
| | - Joanna Siuda
- Department of Neurology, Prof. Kornel Gibiński University Clinical Center, Medical University of Silesia, Katowice, Poland
- Department of Neurology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland
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Chang J, Chang C. Quantitative Electroencephalography Markers for an Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:2155. [PMID: 38138258 PMCID: PMC10744364 DOI: 10.3390/medicina59122155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 11/28/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023]
Abstract
Background and Objectives: Frontotemporal dementia (FTD) is the second most common form of presenile dementia; however, its diagnosis has been poorly investigated. Previous attempts to diagnose FTD using quantitative electroencephalography (qEEG) have yielded inconsistent results in both spectral and functional connectivity analyses. This study aimed to introduce an accurate qEEG marker that could be used to diagnose FTD and other neurological abnormalities. Materials and Methods: We used open-access electroencephalography data from OpenNeuro to investigate the power ratio between the frontal and temporal lobes in the resting state of 23 patients with FTD and 29 healthy controls. Spectral data were extracted using a fast Fourier transform in the delta (0.5 ≤ 4 Hz), theta (4 ≤ 8 Hz), alpha (8-13 Hz), beta (>13-30 Hz), and gamma (>30-45 Hz) bands. Results: We found that the spectral power ratio between the frontal and temporal lobes is a promising qEEG marker of FTD. Frontal (F)-theta/temporal (T)-alpha, F-alpha/T-theta, F-theta/F-alpha, and T-beta/T-gamma showed a consistently high discrimination score for the diagnosis of FTD for different parameters and referencing methods. Conclusions: The study findings can serve as reference for future research focused on diagnosing FTD and other neurological anomalies.
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Affiliation(s)
- Jinwon Chang
- Korean Minjok Leadership Academy, Hoengseong 25268, Republic of Korea
| | - Chul Chang
- College of Medicine, Catholic University of Korea, Seoul 06591, Republic of Korea;
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Chang J, Choi Y. Depression diagnosis based on electroencephalography power ratios. Brain Behav 2023; 13:e3173. [PMID: 37479962 PMCID: PMC10454346 DOI: 10.1002/brb3.3173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/14/2023] [Accepted: 07/08/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND Depression is a common mental disorder that impacts millions of people across the world. However, its diagnosis is difficult due to the dependence on subjective testing. Although quantitative electroencephalography (EEG) has been investigated as a promising diagnostic tool for depression, the associated results have proven contradictory. The current study determines whether the alpha/beta (ABR), alpha/theta (ATR), and theta/beta (TBR) ratios can serve as biological markers of depression. METHODS We used open-access EEG data from OpenNeuro to investigate power ratios in the resting state of 46 patients with depression and 75 healthy controls. Spectral data were extracted by fast Fourier transform at the theta band (4-8 Hz), alpha band (8-13 Hz), and beta band (13-32 Hz). Neural network, logistic regression, and receiver operating characteristic (ROC) curves were used to assess the diagnostic accuracies of each suggested index. Additionally, the cutoff point, sensitivity, specificity, positive predictive value, and negative predictive value at the maximized Youden index were compared for each variable. RESULTS Decreased anterior frontal, frontal, central, parietal, occipital, and temporal ABR and decreased central and parietal TBR were observed in the depression group. The area under the curve of the ROC curves further revealed that these ratios could all effectively differentiate depression. In particular, the central, frontal, and parietal ABR exhibited high discrimination scores. Multiple logistic regression analysis demonstrated that the Beck Depression Inventory and Spielberger Trait Anxiety Inventory scores, as well as the probability of depression, increased with a decrease in the central ABR. Moreover, neural network analysis revealed that the global ABR was the most effective index for diagnosing depression among the three global EEG power ratios. CONCLUSIONS The central, frontal, and parietal ABR represent potential biomarkers to differentiate patients with depression from healthy controls.
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Affiliation(s)
- Jinwon Chang
- Korean Minjok Leadership AcademyHoengseong‐gunGangwon‐doRepublic of Korea
| | - Yuha Choi
- Korean Minjok Leadership AcademyHoengseong‐gunGangwon‐doRepublic of Korea
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Zawiślak-Fornagiel K, Ledwoń D, Bugdol M, Romaniszyn-Kania P, Małecki A, Gorzkowska A, Mitas AW. Specific patterns of coherence and phase lag index in particular regions as biomarkers of cognitive impairment in Parkinson's disease. Parkinsonism Relat Disord 2023; 111:105436. [PMID: 37167834 DOI: 10.1016/j.parkreldis.2023.105436] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/25/2023] [Accepted: 05/01/2023] [Indexed: 05/13/2023]
Abstract
INTRODUCTION Cognitive impairment is a persistent and increasingly reported symptom of patients with Parkinson's disease (PD), significantly affecting daily functioning quality. This study aims to evaluate the functional connectivity of the brain network in patients with Parkinson's disease with various severities of cognitive decline using quantitative electroencephalography (EEG) analysis. METHODS Based on the EEG recorded in the resting state, the coherence and phase lag index were calculated to evaluate functional connectivity in 108 patients with Parkinson's disease divided into three groups according to their cognitive condition: dementia due to PD (PD-D), PD and mild cognitive impairment (PD-MCI) and cognitively normal patients (PD-CogN). RESULTS It was found that there were significantly different coherence values in the PD-D group compared to PD-CogN in different frequency bands. In most cases, there was a decrease in coherence in PD-D compared to PD-CogN. The most specific changes were revealed in the theta frequency band in the temporal right-frontal left and temporal right-frontal right regions. In the alpha frequency band, the most significant decreases were shown in the occipital right-frontal left and occipital left-frontal right areas. There were also statistically significant differences in phase lag index between many areas, especially in the theta frequency range. CONCLUSIONS These findings indicate that the functional connectivity patterns of coherence and phase lag index - found in a particular frequency band and region - could become a reliable biomarker for identifying cognitive impairment and differentiating its severity in PD patients.
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Affiliation(s)
- Katarzyna Zawiślak-Fornagiel
- Department of Neurology, University Clinical Center prof. K. Gibiński of the Medical University of Silesia, 40-752, Katowice, Poland
| | - Daniel Ledwoń
- Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland.
| | - Monika Bugdol
- Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland
| | - Patrycja Romaniszyn-Kania
- Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland
| | - Andrzej Małecki
- Institute of Physiotherapy and Health Science, Academy of Physical Education in Katowice, Mikołowska 72A, 40-065, Katowice, Poland
| | - Agnieszka Gorzkowska
- Department of Neurorehabilitation, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752, Katowice, Poland
| | - Andrzej W Mitas
- Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland
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