Clinical Neurophysiology, Journal Year: 2019, Volume and Issue: 130(10), P. 1762 - 1780
Published: July 19, 2019
Language: Английский
Clinical Neurophysiology, Journal Year: 2019, Volume and Issue: 130(10), P. 1762 - 1780
Published: July 19, 2019
Language: Английский
Cerebral Cortex, Journal Year: 2020, Volume and Issue: 31(2), P. 1201 - 1210
Published: Sept. 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.
Language: Английский
Citations
36GeroScience, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 31, 2025
Language: Английский
Citations
0The Clinical Neuropsychologist, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19
Published: May 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.
Language: Английский
Citations
0Annals of Clinical and Translational Neurology, Journal Year: 2019, Volume and Issue: 6(12), P. 2448 - 2459
Published: Nov. 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.
Language: Английский
Citations
33Clinical Neurophysiology, Journal Year: 2019, Volume and Issue: 130(10), P. 1762 - 1780
Published: July 19, 2019
Language: Английский
Citations
28