Movement disorders are rarely described in association with the "continuous spikes and waves during slow sleep (CSWS)" EEG pattern. We report the case of a young girl affected by an epileptic encephalopathy who, from the age of seven years and four months, has twice presented a movement disorder affecting the right arm, manifesting on awakening and disappearing by early afternoon. Sleep EEG during these periods showed continuous, high-amplitude, diphasic spikes and slow waves over the left hemisphere. Association of clobazam, valproic acid and, on the second occasion, ethosuccimide led to disappearance of the above-described EEG picture and associated motor symptoms. Neurophysiological investigations excluded other possible aetiologies. In view of this, and of the close relationship between the EEG picture and clinical course, we interpret the patient's impairment as "motor neglect" secondary to the continuous electrical activity recorded during sleep over the left hemisphere and involving the associative areas. This electrical activity in sleep, may be regarded as a "functional lesion" whose clinical consequences can be correlated with the site of the abnormalities.[Published with video sequences].
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Interpersonal space is regulated carefully and updated dynamically during social interactions to maintain comfort. We investigated the naturalistic processing of interpersonal distance in real time and space using a powerful implicit neurophysiological measure of attentional engagement. In a sample of 37 young adults recruited at a UK university, we found greater EEG alpha band suppression when a person occupies or moves into near personal space than for a person occupying or moving into public space.
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January 2025
Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Background: The neurasthenia-depression controversy has lasted for several decades. It is challenging to solve the argument by symptoms alone for syndrome-based disease classification. Our aim was to identify objective electroencephalography (EEG) measures that can differentiate neurasthenia from major depressive disorder (MDD).
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January 2025
Instituto de Fisiología, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile.
During spatial learning, subjects progressively adjust their navigation strategies as they acquire experience. The medial prefrontal cortex (mPFC) supports this operation, for which it may integrate information from distributed networks, such as the hippocampus (HPC) and the posterior parietal cortex (PPC). However, the mechanism underlying the prefrontal coordination with HPC and PPC during spatial learning is poorly understood.
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January 2025
Department of Life Sciences, The University of Tokyo, Tokyo, Japan.
Many theories of time perception propose the existence of an internal pacemaker, and studies across behavioral, physiological, and neuroscience fields have explored this concept. Specifically, Spontaneous Motor Tempo (SMT), the most comfortable and natural tapping tempo for each individual, is thought to reflect this internal pacemaker's tempo. Changes in heart rate are also linked to time estimation, while Individual Alpha Frequency (IAF), the peak in the alpha range (8-13 Hz) observed in EEG, is reported to reflect the brain's temporal processing.
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January 2025
School of Life and Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; Institute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; Guangyang Bay Laboratory, Chongqing Institute for Brain and Intelligence, Chongqing 400064, China. Electronic address:
Working memory, a fundamental cognitive function of the brain, necessitates the evaluation of cognitive load intensity due to limited cognitive resources. Optimizing cognitive load can enhance task performance efficiency by preventing resource waste and overload. Therefore, identifying working memory load is an essential area of research.
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