Recent studies provide the first indications of the impact of climate factors on human health, especially with individuals already grappling with internal and neurological conditions being particularly vulnerable. In the face of escalating climate change, our research delves into the specific influence of a spectrum of climatic factors and seasonal variations on the hospital admissions of patients receiving treatment for epileptic seizures at our clinic in Kaiserslautern. Our study encompassed data from 9366 epilepsy patients who were admitted to hospital due to epileptic seizures.
View Article and Find Full Text PDFPurpose: Subcortical arteriosclerotic encephalopathy (SAE) is characterized by extensive white matter lesions in the MRI. Clinical symptoms are cognitive impairment, ranging from mild deficits to vascular dementia, impaired executive functioning, and gait disorders. In the EEG of SAE patients with vascular dementia, the lower frequencies are increased.
View Article and Find Full Text PDFBackground: Acute symptomatic seizures and epileptic disorders are frequent health problems of elderly patients. An early and reliable distinction of the seizure etiology is important to ensure adequate treatment, and to prevent unwarranted diagnostic and therapeutic procedures.
Methods: We review the current literature based on a MEDLINE search, describe age-related problems in detail, with particular attention to clinical practice, discuss possible criteria and potential pitfalls for diagnostics, and provide a compilation of etiologic factors for acute symptomatic seizures.
Pointwise transinformation (PTI) provides a quantitative nonlinear approach to spatiotemporal synchronization patterns of the rhythms of coupled cortical oscillators. We applied PTI to the waking and sleep EEGs of 21 healthy sleepers; we calculated the mean levels and distances of synchronized episodes and estimated the dominant frequency shift from unsynchronized to synchronized EEG segments by spectral analysis. Recurrent EEG synchronization appeared and ceased abruptly in the anterior, central, and temporal derivations; in the posterior derivations it appeared more fluctuating.
View Article and Find Full Text PDFThe analysis of electroencephalogram (EEG) coupling patterns is essential for understanding how interrelations between cortical sites change with the wake-sleep cycle. Waking and sleep EEGs of 12 normal sleepers were analyzed by pointwise transinformation (PTI). Stage-dependent differences of PTI were assessed, and a spectral analysis of synchronized events was performed.
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