Sleep and longitudinal cognitive performance in preclinical and early symptomatic Alzheimer’s disease

Brain, Год журнала: 2021, Номер 144(9), С. 2852 - 2862

Опубликована: Июль 15, 2021

Sleep monitoring may provide markers for future Alzheimer's disease; however, the relationship between sleep and cognitive function in preclinical early symptomatic disease is not well understood. Multiple studies have associated short long times with impairment. Since risk of change age, a greater understanding how cognition changes over time needed. In this study, we hypothesized that longitudinal will non-linear total time, spent non-REM REM sleep, efficiency slow wave activity. To test hypothesis, monitored sleep-wake activity 4-6 nights 100 participants who underwent standardized testing longitudinally, APOE genotyping, measurement biomarkers, tau amyloid-β42 CSF. assess function, individuals completed neuropsychological battery at each clinical visit included Free Cued Selective Reminding test, Logical Memory Delayed Recall assessment, Digit Symbol Substitution Mini-Mental State Examination. Performance on these four tests was Z-scored within cohort averaged to calculate Alzheimer composite score. We estimated effect cross-sectional parameters performance using generalized additive mixed effects models. Generalized models allow non-parametric model fitting are simply linear models; predictors constant values but rather sum spline fits. found measured by decreased low high (P < 0.001), 0.001) 0.01) <1 Hz 1-4.5 even after adjusting CSF tau/amyloid-β42 ratio, ε4 carrier status, years education sex. Cognitive stable middle range activity, suggesting certain levels important maintaining function. Although interventional needed, diagnosing treating disturbances optimize stabilizing or disease.

Язык: Английский

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Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technology

Alzheimer s Research & Therapy, Год журнала: 2023, Номер 15(1)

Опубликована: Фев. 10, 2023

Abstract Background Electroencephalogram (EEG) has emerged as a non-invasive tool to detect the aberrant neuronal activity related different stages of Alzheimer’s disease (AD). However, effectiveness EEG in precise diagnosis and assessment AD its preclinical stage, amnestic mild cognitive impairment (MCI), yet be fully elucidated. In this study, we aimed identify key biomarkers that are effective distinguishing patients at early stage monitoring progression AD. Methods A total 890 participants, including 189 with MCI, 330 AD, 125 other dementias (frontotemporal dementia, dementia Lewy bodies, vascular impairment), 246 healthy controls (HC) were enrolled. Biomarkers extracted from resting-state recordings for three-level classification HC, The optimal then identified based on performance. Random forest regression was used train series models by combining participants’ biomarkers, demographic information (i.e., sex, age), CSF APOE phenotype assessing individual’s function. Results achieved over 70% accuracy Among all six groups, most prominent effects AD-linked neurodegeneration metrics localized parieto-occipital regions. cross-validation predictive analyses, features more than + predicting age onset course, whereas combination measures best performance targets prediction. Conclusions Our study indicates can useful screening evaluation MCI

Язык: Английский

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European intersocietal recommendations for the biomarker-based diagnosis of neurocognitive disorders

The Lancet Neurology, Год журнала: 2024, Номер 23(3), С. 302 - 312

Опубликована: Фев. 15, 2024

Язык: Английский

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Pharmacological modulation of septins restores calcium homeostasis and is neuroprotective in models of Alzheimer’s disease

Science, Год журнала: 2024, Номер 384(6699)

Опубликована: Май 30, 2024

Abnormal calcium signaling is a central pathological component of Alzheimer's disease (AD). Here, we describe the identification class compounds called ReS19-T, which are able to restore homeostasis in cell-based models tau pathology. Aberrant accumulation leads uncontrolled activation store-operated channels (SOCCs) by remodeling septin filaments at cell cortex. Binding ReS19-T septins restores filament assembly state and restrains entry through SOCCs. In amyloid-β tau-driven mouse disease, agents restored synaptic plasticity, normalized brain network activity, attenuated development both Our findings identify cytoskeleton as potential therapeutic target for disease-modifying AD treatments.

Язык: Английский

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Regional Precuneus Cortical Hyperexcitability in Alzheimer's Disease Patients

Annals of Neurology, Год журнала: 2022, Номер 93(2), С. 371 - 383

Опубликована: Сен. 22, 2022

Objective Neuronal excitation/inhibition (E/I) imbalance is a potential cause of neuronal network malfunctioning in Alzheimer's disease (AD), contributing to cognitive dysfunction. Here, we used novel approach combining transcranial magnetic stimulation (TMS) and electroencephalography (EEG) probe cortical excitability different brain areas known be directly involved AD pathology. Methods We performed TMS‐EEG recordings targeting the left dorsolateral prefrontal cortex (l‐DLPFC), posterior parietal (l‐PPC), precuneus (PC) large sample patients with mild‐to‐moderate (n = 65) that were compared group age‐matched healthy controls 21). Results found are characterized by regional hyperexcitability PC and, some extent, frontal lobe, as measured TMS‐evoked potentials. Notably, assessed over l‐PPC was comparable between 2 groups. Furthermore, individual level associated impairment, Mini‐Mental State Examination, corticospinal fluid levels Aβ 42 . Interpretation Our data provide evidence key feature synaptic dysfunction AD. The current results point combined TMS EEG promising technique measure This index could represent useful biomarker stage severity evaluate response therapies. ANN NEUROL 2023;93:371–383

Язык: Английский

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An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

Journal of Neural Engineering, Год журнала: 2023, Номер 20(1), С. 016048 - 016048

Опубликована: Фев. 1, 2023

Abstract Objective . This study aims to design and implement the first deep learning (DL) model classify subjects in prodromic states of Alzheimer’s disease (AD) based on resting-state electroencephalographic (EEG) signals. Approach EEG recordings 17 healthy controls (HCs), 56 subjective cognitive decline (SCD) 45 mild impairment (MCI) were acquired at resting state. After preprocessing, we selected sections corresponding eyes-closed condition. Five different datasets created by extracting delta, theta, alpha, beta delta-to-theta frequency bands using bandpass filters. To SCD vs MCI HC MCI, propose a framework transformer architecture, which uses multi-head attention focus most relevant parts input We trained validated each dataset with leave-one-subject-out cross-validation approach, splitting signals into 10 s epochs. Subjects assigned same class as majority their Classification performances assessed for both epochs compared other DL models. Main results Results showed that delta allowed our achieve best discrimination reaching an Area Under ROC Curve (AUC) 0.807, while highest classification obtained alpha theta micro-AUC higher than 0.74. Significance demonstrated approaches can support adoption non-invasive economic techniques stratify patients clinical population risk AD. result was achieved since mechanism able learn temporal dependencies signal, focusing discriminative patterns, achieving state-of-the-art reduced complexity. Our consistent evidence changes brain activity are progressive when considering early stages

Язык: Английский

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Advances in EEG-based functional connectivity approaches to the study of the central nervous system in health and disease

Advances in Clinical and Experimental Medicine, Год журнала: 2023, Номер 32(6), С. 607 - 612

Опубликована: Июнь 6, 2023

Functional brain connectivity is closely linked to the complex interactions between networks. In last two decades, measures of functional based on electroencephalogram (EEG) data have proved be an important tool for neurologists and clinical non-clinical neuroscientists. Indeed, EEG-based may reveal neurophysiological processes networks underlying human cognition pathophysiology neuropsychiatric disorders. This editorial discusses recent advances future prospects in study connectivity, with a focus main methodological approaches studying health disease.

Язык: Английский

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Priorities for research on neuromodulatory subcortical systems in Alzheimer's disease: Position paper from the NSS PIA of ISTAART

Alzheimer s & Dementia, Год журнала: 2023, Номер 19(5), С. 2182 - 2196

Опубликована: Янв. 15, 2023

Abstract The neuromodulatory subcortical system (NSS) nuclei are critical hubs for survival, hedonic tone, and homeostasis. Tau‐associated NSS degeneration occurs early in Alzheimer's disease (AD) pathogenesis, long before the emergence of pathognomonic memory dysfunction cortical lesions. Accumulating evidence supports role behavioral neuropsychiatric manifestations featured AD. Experimental studies even suggest that AD‐associated drives brain neuroinflammatory status contributes to progression, including exacerbation Given important pathophysiologic etiologic roles involve AD stages, there is an urgent need expand our understanding mechanisms underlying vulnerability more precisely detail clinical progression changes Here, Professional Interest Area International Society Advance Research Treatment highlights knowledge gaps about within provides recommendations priorities specific research, biomarker development, modeling, intervention. Highlights Neuromodulatory degenerate pathological stages. pathophysiology exacerbated by degeneration. symptoms dementia. Biomarkers integrity would be value‐creating dementia care. present strategic prospects disease‐modifying therapies.

Язык: Английский

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Brain function effects of exercise interventions for cognitive decline: a systematic review and meta-analysis

Frontiers in Neuroscience, Год журнала: 2023, Номер 17

Опубликована: Май 16, 2023

Exercise is recognized as a modifiable lifestyle factor that can mitigate cognitive decline and dementia risk. While the benefits of exercise on aging have been reported extensively, neuronal effects in adults experiencing not systematically synthesized. The aim this systematic review was to assess cognition brain function people with associated

Язык: Английский

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Beta to theta power ratio in EEG periodic components as a potential biomarker in mild cognitive impairment and Alzheimer’s dementia

Alzheimer s Research & Therapy, Год журнала: 2023, Номер 15(1)

Опубликована: Авг. 7, 2023

Abstract Background Alzheimer’s dementia (AD) is associated with electroencephalography (EEG) abnormalities including in the power ratio of beta to theta frequencies. EEG studies mild cognitive impairment (MCI) have been less consistent identifying such abnormalities. One potential reason not excluding aperiodic components, which are cognition than periodic components. Here, we investigate whether and components disrupted differently AD or MCI vs. healthy control (HC) individuals a based beta/theta differentiates better from HC groups on full spectrum. Methods Data were collected 44 (mean age (SD) = 69.1 (5.3)), 114 72.2 (7.5)), 41 75.7 (6.5)) participants. Aperiodic spectrum compared among three groups. Receiver operating characteristic curves obtained via logistic regression classifications used distinguish Last, explored relationships between performance ratios Results did differ In contrast, participants showed an increase relative powers for delta, theta, gamma decrease when As predicted, group differed (Bonferroni corrected p -value 0.036) measured over occipital region. Classifiers distinguished participants, outperformed classifiers EEG. Beta/theta comparable their association cognition. Conclusions contrast analysis, periodic-based analysis shows that different individuals. Focusing without other biological markers neurodegenerative diseases could result more reliable findings separate aging, would be valuable designing preventative interventions.

Язык: Английский

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