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In a patient suspected of having epilepsy, routine EEG primarily contributes to the recording of interictal epileptiform discharges (IEDs). Similarly, magnetic resonance imaging (MRI) has become the gold standard imaging technique for identifying epileptogenic structural brain abnormalities. Various EEG and MRI tools to improve epilepsy diagnosis will be presented. When the initial EEG fails to record IEDs, various EEG measures that can improve EEG performance are presented; a comprehensive epilepsy-targeted MRI protocol to identify, localize, and characterize an epileptogenic lesion will also be described. Studies show that the initial routine EEG fails to record IEDs in approximately 47-50% of epileptic patients. To improve the yield of EEG, subsequent EEG recording should include sleep deprivation, sleep recording, prolonged hyperventilation, optimized light stimulation, addition of an inferior temporal electrode chain, extended EEG duration, and continuous video-EEG monitoring, all measures known to activate IEDs. Furthermore, MRI is interpreted as "normal" in many epilepsy patients, even when performed according to an epilepsy-specific protocol and evaluated by a specialized MRI reader. In such case, the use of the Harmonized Epilepsy Structural Sequence Imaging (HARNESS-MRI) protocol and other imaging tools will improve the detection of potential epileptic lesions, as described in this study. In a patient with a clinical diagnosis of epilepsy but a normal EEG and brain MRI, several options can improve the performance of subsequent EEG and MRI examinations, the subjects of this review.
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http://dx.doi.org/10.3390/neurolint17050066 | DOI Listing |
IEEE Trans Cybern
September 2025
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinicians are time-intensive and subjective.
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
September 2025
Obstructive sleep apnea (OSA), one of the most common sleep disorders globally, is closely linked to brain function. Resting-state electroencephalography (EEG), due to its convenience, cost-effectiveness, and high temporal resolution, serves as a valuable tool for exploring the human brain function. This study utilized a large cohort with 968 participants who joined in 15-minute daytime resting-state EEG acquisition and overnight polysomnography (PSG) monitoring.
View Article and Find Full Text PDFCereb Cortex
August 2025
Brain and Cognition, KU Leuven, Tiensestraat 102, 3000 Leuven, Belgium.
Centro-parietal electroencephalogram signals (centro-parietal positivity and error positivity) correlate with the reported level of confidence. According to recent computational work these signals reflect evidence which feeds into the computation of confidence, not directly confidence. To test this prediction, we causally manipulated prior beliefs to selectively affect confidence, while leaving objective task performance unaffected.
View Article and Find Full Text PDFExp Brain Res
September 2025
Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Siena, Italy.
Postdiction is a perceptual phenomenon where the perception of an earlier stimulus is influenced by a later one. This effect is commonly studied using the 'rabbit illusion', in which temporally regular, but spatially irregular, stimuli are perceived as equidistant. While previous research has focused on short inter-stimulus intervals (100-200 ms), the role of longer intervals, which may engage late attentional processes, remains unexplored.
View Article and Find Full Text PDFAlzheimers Dement
September 2025
Boston University Alzheimer's Disease Research Center and BU CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
We describe the rationale, methodology, and design of the Boston University Alzheimer's Disease Research Center (BU ADRC) Clinical Core (CC). The CC characterizes a longitudinal cohort of participants with/without brain trauma to characterize the clinical presentation, biomarker profiles, and risk factors of post-traumatic Alzheimer's disease (AD) and AD-related dementias (ADRD), including chronic traumatic encephalopathy (CTE). Participants complete assessments of traumatic brain injury (TBI) and repetitive head impacts (RHIs); annual Uniform Data Set (UDS) and supplementary evaluations; digital phenotyping; annual blood draw; magnetic resonance imaging (MRI) and lumbar puncture every 3 years; electroencephalogram (EEG); and amyloid and/or tau positron emission tomography (PET) on a subset.
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