Introduction: Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease. Cognitive changes in PD are less observable than motor symptoms; thus, research on cognitive processes, which are known to be impaired from the early stages of PD, is minimal. The purpose of this study is to research the brain dynamics of cognitively normal PD patients and healthy elderly controls using event-related potentials (ERPs) and to evaluate their relationships with neuropsychological tests.
Methods: Eighteen cognitively normal PD patients and 18 age-, gender-, and education-matched healthy controls were included in the study. Detailed neuropsychological tests were applied to all participants. Electroencephalography (EEG) was performed according to the international 10-20 system, and a classical visual oddball paradigm was used in the experiments. ERP responses in the 0.5 to 25 Hz frequency range were examined. P300 amplitude and latency values were measured from the F, F, F, C, C, C, P, P, P, O, O, and O electrode sites. In addition, the correlations between P300 responses and neuropsychological test scores were analyzed.
Results: Significant differences were found between the P300 amplitudes of cognitively normal PD patients and healthy elderly controls [F=9.265; p=0.005]. P300 amplitudes were significantly lower for PD patients at the F, F, C, C, P, and P electrode sites than for healthy elderly controls. Moderate correlations were found between Stroop test score and P amplitude, digit span forward and C and P amplitude, and digit span backward and O amplitude.
Conclusion: The major finding of this study was the detection of cognitive changes by electrophysiological methods in PD patients who were indicated to be cognitively normal by neuropsychological tests. These finding suggests that cognitive changes in PD patients, which are not yet reflected in neuropsychological tests, may be detected by electrophysiological methods in earlier stages.
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http://dx.doi.org/10.5152/npa.2016.12455 | DOI Listing |
JAMA Pediatr
January 2025
Department of Cardiology, Harvard Medical School and Boston Children's Hospital, Boston, Massachusetts.
Importance: Multisystem inflammatory syndrome in children (MIS-C) is a life-threatening complication of COVID-19 infection. Data on midterm outcomes are limited.
Objective: To characterize the frequency and time course of cardiac dysfunction (left ventricular ejection fraction [LVEF] <55%), coronary artery aneurysms (z score ≥2.
The origins of resting-state functional MRI (rsfMRI) signal fluctuations remain debated. Recent evidence shows coupling between global cortical rsfMRI signals and cerebrospinal fluid inflow in the fourth ventricle, increasing during sleep and decreasing with Alzheimer's disease (AD) progression, potentially reflecting brain clearance mechanisms. However, the existence of more complex brain-ventricle coupling modes and their relationship to cognitive decline remains unexplored.
View Article and Find Full Text PDFIntroduction: Alzheimer disease (AD) plasma biomarkers are noninvasive measures of the key amyloid beta (Aβ) and tau pathologies. Validation and generalization studies are needed to fully understand their potential for AD prediction and diagnosis in the elderly population.
Methods: In 1,067 Amish individuals aged ≥ 65, we measured plasma Aβ and tau to assess their relationships with AD-related outcomes.
Psychoradiology
December 2024
Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Département d'Etudes Cognitives, Ecole Normale Supérieure, PSL University, Paris 75005, France.
Cogn Neurodyn
December 2025
School of Systems Science, Beijing Normal University, Beijing, 100875 China.
Hippocampus in the mammalian brain supports navigation by building a cognitive map of the environment. However, only a few studies have investigated cognitive maps in large-scale arenas. To reveal the computational mechanisms underlying the formation of cognitive maps in large-scale environments, we propose a neural network model of the entorhinal-hippocampal neural circuit that integrates both spatial and non-spatial information.
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