Functional Connectivity Hypersynchronization in Relatives of Alzheimer’s Disease Patients: An Early E/I Balance Dysfunction?

Cerebral Cortex, Год журнала: 2020, Номер 31(2), С. 1201 - 1210

Опубликована: Сен. 7, 2020

Alzheimer's disease (AD) studies on animal models, and humans showed a tendency of the brain tissue to become hyperexcitable hypersynchronized, causing neurodegeneration. However, we know little about either onset this phenomenon or its early effects functional networks. We studied connectivity (FC) 127 participants (92 middle-age relatives AD patients 35 age-matched nonrelatives) using magnetoencephalography. FC was estimated in alpha band areas known both for amyloid accumulation disrupted MCI converters AD. found frontoparietal network (anterior cingulate cortex, dorsal frontal, precuneus) where hypersynchronization high (not modulated by APOE-ε4 genotype) comparison nonrelatives. These results represent first evidence neurophysiological events disruption humans, opening new perspective intervention excitation/inhibition unbalance.

Язык: Английский

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Study partner‐reported decline identifies cognitive decline and dementia risk

Annals of Clinical and Translational Neurology, Год журнала: 2019, Номер 6(12), С. 2448 - 2459

Опубликована: Ноя. 13, 2019

Identifying individuals at risk for cognitive decline, Mild Cognitive Impairment (MCI), and dementia due to Alzheimer's disease (AD) is a critical need. Functional decline associated with can be efficiently assessed by participants study partners (SPs). We tested the hypothesis that SP-reported functional an independent predictor of decline.In 1048 older adults in Disease Neuroimaging Initiative (ADNI), we measured associations between Everyday Cognition Scale scores (ECog, self- versions) (1) baseline longitudinal change neuropsychological test (NPT scores) across multiple domains; (2) diagnostic conversion MCI or dementia. Models included Mini Mental Status Exam (MMSE) score ApoE ε4 genotype (APOE) as predictors. Model fits were compared without predictors interest included.SP-reported ECog was strongest domains, well conversion. Self-reported NPT some biomarker evidence AD (elevated brain β-amyloid, Aβ). including significantly stronger predicting outcomes.SP-reported indicator risk, even when accounting screening, genetic demographics, self-report decline. The results provide rationale greater utilization identify those other causes.

Язык: Английский

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A Novel Connectome-based Electrophysiological Study of Subjective Cognitive Decline Related to Alzheimer’s Disease by Using Resting-state High-density EEG EGI GES 300

Brain Sciences, Год журнала: 2020, Номер 10(6), С. 392 - 392

Опубликована: Июнь 19, 2020

Aim: To investigate for the first time brain network in Alzheimer's disease (AD) spectrum by implementing a high-density electroencephalography (HD-EEG - EGI GES 300) study with 256 channels order to seek if connectome can be effectively used distinguish cognitive impairment preclinical stages. Methods: Twenty participants AD, 30 mild (MCI), 20 subjective decline (SCD) and 22 healthy controls (HC) were examined detailed neuropsychological battery 10 min resting state HD-EEG. We extracted correlation matrices using Pearson coefficients each subject constructed weighted undirected networks calculating clustering coefficient (CC), strength (S) betweenness centrality (BC) at global (256 electrodes) local levels (29 parietal electrodes). Results: One-way ANOVA presented statistically significant difference among four groups level CC [F (3, 88) = 4.76, p 0.004] S 4.69, 0.004]. However, no was found level. According independent sample t-test, higher HC [M (SD) 0.79 (0.07)] compared SCD 0.72 (0.09)]; t (40) 2.39, 0.02, MCI 0.71 (50) 0.41, 0.004 AD 0.68 (0.11)]; 3.62, 0.001 as well, while BC showed an increase but decrease progresses. These findings provide evidence that disruptions organization may potentially represent key factor ability people early stages of continuum. Conclusions: The above reveal dynamically disrupted stages, showing exhibits disorganization withintermediate values between HC. Additionally, these pieces information on usefulness HD-EEG construction.

Язык: Английский

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Dynamic proportional loss of functional connectivity revealed change of left superior frontal gyrus in subjective cognitive decline: an explanatory study based on Chinese and Western cohorts

GeroScience, Год журнала: 2025, Номер unknown

Опубликована: Янв. 31, 2025

Язык: Английский

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Long-term cognitive functioning following COVID-19: Negligible neuropsychological changes over time

The Clinical Neuropsychologist, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Май 2, 2025

Objective: Objective cognitive impairment has been shown in a minority of hospitalized COVID-19 patients, and longitudinal studies with relatively long follow-up duration are scarce. We sought to investigate the presence long-term change objective functioning. Method: Forty-six initially (18 ± 19 days) survivors (male/female: 30/16; age: 61 11) underwent extensive neuropsychological assessment (including performance validity) approximately 1 (T1) 2.5 years (T2) post-infection. Cognitive domains assessed were: memory, attention, executive functioning, processing speed, language (n = 14 (sub)tests). used normative data derive age, sex, education-adjusted T-scores (T ≤ 35 [≤-1.5SD], deficit cut-off). Repeated measures AN(C)OVAs were functioning over time. Results: Mean tests) was within normal range at both timepoints, number individuals deficits ranged from 0-20% (T1), 2-22% (T2). Number subjective complaints remained unchanged. A (17%) showed on ≥2 tests post-infection, but not consistently one domain. Longitudinal analyses total sample improvement time phonemic fluency (p<.001), stable all other tests, independent prior comorbidities, complaints, depressive symptoms, ICU admission. Conclusions: There no consistent or major disorders after SARS-CoV-2 infection majority cases. Neuropsychological essentially unchanged Future larger necessary unravel COVID-19-related phenotypes persisting how these can be modulated.

Язык: Английский

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