scholarly journals Late‐onset epilepsy with unknown etiology: A pilot study on neuropsychological profile, cerebrospinal fluid biomarkers, and quantitative EEG characteristics

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Lucia Farotti ◽  
Elena Nardi Cesarini ◽  
Claudio Babiloni ◽  
Nicola Salvadori ◽  
Claudio Del Percio ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Pilot Study ◽  
Late Onset ◽  
Quantitative Eeg ◽  
Unknown Etiology ◽  
Neuropsychological Profile ◽  
Cerebrospinal Fluid Biomarkers

Late-onset epilepsy with unknown etiology: Neuropsychological profile, cerebrospinal fluid biomarkers, and quantitative EEG characteristics

2021 ◽  
Vol 429 ◽  
pp. 119123
Author(s):  
Elena Nardi Cesarini ◽  
Claudio Babiloni ◽  
Nicola Salvadori ◽  
Lucia Farotti ◽  
Claudio Del Percio ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Late Onset ◽  
Quantitative Eeg ◽  
Unknown Etiology ◽  
Neuropsychological Profile ◽  
Cerebrospinal Fluid Biomarkers

Tau Rather than TDP-43 Proteins are Potential Cerebrospinal Fluid Biomarkers for Frontotemporal Lobar Degeneration Subtypes: A Pilot Study

2016 ◽  
Vol 55 (2) ◽  
pp. 585-595 ◽  
Author(s):  
H. Bea Kuiperij ◽  
Alexandra A.M. Versleijen ◽  
Marijke Beenes ◽  
Nicolaas A. Verwey ◽  
Luisa Benussi ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Pilot Study ◽  
Frontotemporal Lobar Degeneration ◽  
Cerebrospinal Fluid Biomarkers

Cognitive decline risk stratification in people with late-onset epilepsy of unknown etiology: An electroencephalographic connectivity and graph theory pilot study

2021 ◽  
Vol 429 ◽  
pp. 117686
Author(s):  
Cinzia Costa ◽  
Fabrizio Vecchio ◽  
Michele Romoli ◽  
Francesca Miraglia ◽  
Elena Nardi Cesarini ◽  
...  
Keyword(s):  
Graph Theory ◽  
Pilot Study ◽  
Risk Stratification ◽  
Cognitive Decline ◽  
Late Onset ◽  
Unknown Etiology

Sarcoidosis Presenting As Late-Onset Dementia: Are Cerebrospinal Fluid Biomarkers Analyses Helpful?

2015 ◽  
Vol 63 (1) ◽  
pp. 198-200 ◽  
Author(s):  
Michele Kiesmann ◽  
Pierre Oliver Lang ◽  
Raphael Clere ◽  
Olivier Bousiges ◽  
Thomas Vogel ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Late Onset ◽  
Cerebrospinal Fluid Biomarkers ◽  
Late Onset Dementia

Cerebrospinal fluid biomarkers for neuropsychological symptoms in early stage of late-onset Alzheimer's disease

2014 ◽  
Vol 125 (10) ◽  
pp. 747-754 ◽  
Author(s):  
Hung-Chou Kuo ◽  
Hsiu-Chuan Yen ◽  
Chin-Chang Huang ◽  
Wen-Chuin Hsu ◽  
Hsing-Ju Wei ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Late Onset ◽  
Early Stage ◽  
Cerebrospinal Fluid Biomarkers ◽  
Neuropsychological Symptoms

scholarly journals Longitudinal decreases in multiple cerebrospinal fluid biomarkers of neuronal injury in symptomatic late onset Alzheimer's disease

2018 ◽  
Vol 14 (7) ◽  
pp. 869-879 ◽  
Author(s):  
Courtney L. Sutphen ◽  
Lena McCue ◽  
Elizabeth M. Herries ◽  
Chengjie Xiong ◽  
Jack H. Ladenson ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Late Onset ◽  
Neuronal Injury ◽  
Cerebrospinal Fluid Biomarkers

scholarly journals Cerebrospinal fluid biomarkers of malfunctioning ventriculoperitoneal shunts: a pilot study

2015 ◽  
Vol 12 (Suppl 1) ◽  
pp. O20
Author(s):  
Clinton Morgan ◽  
Diego M Morales ◽  
Gakwaya Habiyaremye ◽  
James P McAllister ◽  
David D Limbrick
Keyword(s):  
Cerebrospinal Fluid ◽  
Pilot Study ◽  
Ventriculoperitoneal Shunts ◽  
Cerebrospinal Fluid Biomarkers

Cognitive Decline Risk Stratification in People with Late-Onset Epilepsy of Unknown Etiology: An Electroencephalographic Connectivity and Graph Theory Pilot Study

2021 ◽  
pp. 1-9
Author(s):  
Cinzia Costa ◽  
Fabrizio Vecchio ◽  
Michele Romoli ◽  
Francesca Miraglia ◽  
Elena Nardi Cesarini ◽  
...  
Keyword(s):  
Pilot Study ◽  
Cognitive Decline ◽  
Late Onset ◽  
Neuropsychological Testing ◽  
Small World ◽  
Unknown Etiology ◽  
Dementia Patients ◽  
Normal Cognitive Function ◽  
Epilepsy Diagnosis

Background: Although people with late onset epilepsy of unknown etiology (LOEU) are at higher risk of cognitive decline compared to the general population, we still lack affordable tools to predict and stratify their risk of dementia. Objective: This pilot-study investigates the potential application of electroencephalography (EEG) network small-world (SW) properties in predicting cognitive decline among patients with LOEU. Methods: People diagnosed with LOEU and normal cognitive examination at the time of epilepsy diagnosis were included. Cerebrospinal fluid biomarkers, brain imaging, and neuropsychological assessment were performed at the time of epilepsy diagnosis. Baseline EEG was analyzed for SW properties. Patients were followed-up over time with neuropsychological testing to define the trajectory of cognitive decline. Results: Over 5.1 years of follow-up, among 24 patients diagnosed with LOEU, 62.5% were female, mean age was 65.3 years, thirteen developed mild cognitive impairment (MCI), and four developed dementia. Patients with LOEU developing MCI had lower values of SW coefficients in the delta (p = 0.03) band and higher SW values in the alpha frequency bands (p = 0.02) compared to patients having normal cognition at last follow-up. The two separate ANOVAs, for low and alpha bands, confirmed an interaction between SW and cognitive decline at follow-up. A similar gradient was confirmed for patients developing dementia compared to those with normal cognitive function as well as to those developing MCI. Conclusion: Baseline EEG analysis through SW is worth investigating as an affordable, widely available tool to stratify LOEU patients for their risk of cognitive decline.

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