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Öğe Are there consistent abnormalities in event-related EEG oscillations in patients with Alzheimer's disease compared to other diseases belonging to dementia?(John Wiley and Sons Inc, 2022) Güntekin, Bahar; Aktürk, Tuba; Arakaki, Xianghong; Bonanni, Laura; Del Percio, Claudio; Edelmayer, Rebecca; Farina, Francesca; Ferri, Raffaele; Hanoğlu, Lütfü; Kumar, Sanjeev; Lizio, Roberta; Lopez, Susanna; Murphy, Brian; Noce, Giuseppe; Randall, Fiona; Sack, Alexander T.; Stocchi, Fabrizio; Yener, Görsev; Yıldırım, Ebru; Babiloni, ClaudioCerebrospinal and structural-molecular neuroimaging in-vivo biomarkers are recommended for diagnostic purposes in Alzheimer’s disease (AD) and other dementias; however, they do not explain the effects of AD neuropathology on neurophysiological mechanisms underpinning cognitive processes. Here, an Expert Panel from the Electrophysiology Professional Interest Area of the Alzheimer’s Association reviewed the field literature and reached consensus on the event-related electroencephalographic oscillations (EROs) that show consistent abnormalities in patients with significant cognitive deficits due to Alzheimer’s, Parkinson’s (PD), Lewy body (LBD), and cerebrovascular diseases. Converging evidence from oddball paradigms showed that, as compared to cognitively unimpaired (CU) older adults, AD patients had lower amplitude in widespread delta (>4 Hz) and theta (4–7 Hz) phase-locked EROs as a function of disease severity. Similar effects were also observed in PD, LBD, and/or cerebrovascular cognitive impairment patients. Non-phase-locked alpha (8–12 Hz) and beta (13–30 Hz) oscillations were abnormally reduced (event-related desynchronization, ERD) in AD patients relative to CU. However, studies on patients with other dementias remain lacking. Delta and theta phase-locked EROs during oddball tasks may be useful neurophysiological biomarkers of cognitive systems at work in heuristic and intervention clinical trials performed in AD patients, but more research is needed regarding their potential role for other dementias.Öğe EEG measures for clinical research in major vascular cognitive impairment: recommendations by an expert panel(Elsevier Inc., 2021) Babiloni, Claudio C.; Arakaki, Xianghong; Bonanni, Laura; Buján, Ana; Carrillo, María C.; del Percio, Claudio; Edelmayer, Rebecca M.; Egan, Gary; Elahh, Fanny M.; Evans, Alan Charles; Ferri, Raffaele; Frisoni, Glovannl B.; Güntekin, Bahar; Hainsworth, Atticus Henry; Hampel, Harald; Jeli?, Vesna; Jeong, Jaeseung; Kim, Doh-kwan; Kramberger, Milica Gregori?; Kumar, Sanjeev; Lizio, Roberta; Nobili, Flavio Mariano; Noce, Giuseppe; Puce, Aina; Ritter, Petra; Smit, Dirk J.A.; Soricelli, Andrea; Teipel, S.; Tucci, FedericoVascular contribution to cognitive impairment (VCI) and dementia is related to etiologies that may affect the neurophysiological mechanisms regulating brain arousal and generating electroencephalographic (EEG) activity. A multidisciplinary expert panel reviewed the clinical literature and reached consensus about the EEG measures consistently found as abnormal in VCI patients with dementia. As compared to cognitively unimpaired individuals, those VCI patients showed (1) smaller amplitude of resting state alpha (8–12 Hz) rhythms dominant in posterior regions; (2) widespread increases in amplitude of delta (< 4 Hz) and theta (4–8 Hz) rhythms; and (3) delayed N200/P300 peak latencies in averaged event-related potentials, especially during the detection of auditory rare target stimuli requiring participants’ responses in “oddball” paradigms. The expert panel formulated the following recommendations: (1) the above EEG measures are not specific for VCI and should not be used for its diagnosis; (2) they may be considered as “neural synchronization” biomarkers to enlighten the relationships between features of the VCI-related cerebrovascular lesions and abnormalities in neurophysiological brain mechanisms; and (3) they may be tested in future clinical trials as prognostic biomarkers and endpoints of interventions aimed at normalizing background brain excitability and vigilance in wakefulness.Öğe Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel(Wiley, 2021) Babiloni, Claudio; Arakaki, Xianghong; Azami, Hamed; Bennys, Karim; Blinowska, Katarzyna; Bonanni, Laura; Bujan, Ana; Carrillo, Maria C.; Cichocki, Andrzej; de Frutos-Lucas, Jaisalmer; del Percio, Claudio; Dubois, Bruno; Edelmayer, Rebecca; Egan, Gary; Epelbaum, Stephane; Escudero, Javier; Evans, Alan; Farina, Francesca; Fargo, Keith; Fernandez, Alberto; Ferri, Raffaele; Frisoni, Giovanni; Hampel, Harald; Harrington, Michael G.; Jelic, Vesna; Jeong, Jaeseung; Jiang, Yang; Kaminski, Maciej; Kavcic, Voyko; Kilborn, Kerry; Kumar, Sanjeev; Lam, Alice; Lim, Lew; Lizio, Roberta; Lopez, David; Lopez, Susanna; Lucey, Brendan; Maestu, Fernando; McGeown, William J.; McKeith, Ian; Moretti, Davide Vito; Nobili, Flavio; Noce, Giuseppe; Olichney, John; Onofrj, Marco; Osorio, Ricardo; Parra-Rodriguez, Mario; Rajji, Tarek; Ritter, Petra; Soricelli, Andrea; Stocchi, Fabrizio; Tarnanas, Ioannis; Taylor, John Paul; Teipel, Stefan; Tucci, Federico; Valdes-Sosa, Mitchell; Valdes-Sosa, Pedro; Weiergraeber, Marco; Yener, Görsev; Güntekin, BaharThe Electrophysiology Professional Interest Area (EPIA) and Global Brain Consortium endorsed recommendations on candidate electroencephalography (EEG) measures for Alzheimer's disease (AD) clinical trials. The Panel reviewed the field literature. As most consistent findings, AD patients with mild cognitive impairment and dementia showed abnormalities in peak frequency, power, and "interrelatedness" at posterior alpha (8-12 Hz) and widespread delta (< 4 Hz) and theta (4-8 Hz) rhythms in relation to disease progression and interventions. The following consensus statements were subscribed: (1) Standardization of instructions to patients, resting state EEG (rsEEG) recording methods, and selection of artifact-free rsEEG periods are needed; (2) power density and "interrelatedness" rsEEG measures (e.g., directed transfer function, phase lag index, linear lagged connectivity, etc.) at delta, theta, and alpha frequency bands may be use for stratification of AD patients and monitoring of disease progression and intervention; and (3) international multisectoral initiatives are mandatory for regulatory purposes.Öğe Parallel electrophysiological abnormalities due to covid-19 infection and to alzheimer's disease and related dementia(2024) Jiang, Yang; Neal, Jennifer; Sompol, Pradoldej; Yener, Görsev; Arakaki, Xianghong; Norris, Christopher M.; Güntekin, Bahar; Hajós, MihályMany coronavirus disease 2019 (COVID-19) positive individuals exhibit abnormal electroencephalographic (EEG) activity reflecting “brain fog” and mild cognitive impairments even months after the acute phase of infection. Resting-state EEG abnormalities include EEG slowing (reduced alpha rhythm; increased slow waves) and epileptiform activity. An expert panel conducted a systematic review to present compelling evidence that cognitive deficits due to COVID-19 and to Alzheimer's disease and related dementia (ADRD) are driven by overlapping pathologies and neurophysiological abnormalities. EEG abnormalities seen in COVID-19 patients resemble those observed in early stages of neurodegenerative diseases, particularly ADRD. It is proposed that similar EEG abnormalities in Long COVID and ADRD are due to parallel neuroinflammation, astrocyte reactivity, hypoxia, and neurovascular injury. These neurophysiological abnormalities underpinning cognitive decline in COVID-19 can be detected by routine EEG exams. Future research will explore the value of EEG monitoring of COVID-19 patients for predicting long-term outcomes and monitoring efficacy of therapeutic interventions. Highlights: Abnormal intrinsic electrophysiological brain activity, such as slowing of EEG, reduced alpha wave, and epileptiform are characteristic findings in COVID-19 patients. EEG abnormalities have the potential as neural biomarkers to identify neurological complications at the early stage of the disease, to assist clinical assessment, and to assess cognitive decline risk in Long COVID patients. Similar slowing of intrinsic brain activity to that of COVID-19 patients is typically seen in patients with mild cognitive impairments, ADRD. Evidence presented supports the idea that cognitive deficits in Long COVID and ADRD are driven by overlapping neurophysiological abnormalities resulting, at least in part, from neuroinflammatory mechanisms and astrocyte reactivity. Identifying common biological mechanisms in Long COVID-19 and ADRD can highlight critical pathologies underlying brain disorders and cognitive decline. It elucidates research questions regarding cognitive EEG and mild cognitive impairment in Long COVID that have not yet been adequately investigated.
