Publications by authors named "Brinkmann B"

The lack of reliable seizure detection remains a significant challenge for epilepsy care. A clinical deep brain stimulation (DBS) system provides constrained ambulatory brain recordings; however, limited data exist on the use of DBS recordings for seizure detection and lateralization. We present the case of an 18-year-old patient with drug-resistant focal epilepsy, who had seizure detection and lateralization by DBS recordings.

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Objective: Novel subcutaneous electroencephalography (sqEEG) systems enable prolonged, near-continuous cerebral monitoring in real-world conditions. Nevertheless, the feasibility, acceptability and overall clinical utility of these systems remains unclear. We report on the longest observational study using ultra long-term sqEEG to date.

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Article Synopsis
  • Wearable biosensors from the wrist can monitor seizures, but poor signal quality affects reliability, making it crucial to understand how seizures impact data quality during different phases.
  • The study evaluates the signal quality of various biosignals during different seizure types and examines the effects of peri-ictal movements on data accuracy.
  • Findings show that tonic-clonic seizures cause a significant drop in blood volume pulse signal quality and increase accelerometer activity, highlighting the need for improved data assessment methods in seizure monitoring.
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Kaspar Hauser's parentage has been the subject of research and debate for nearly 200 years. As for his possible aristocratic descent through the House of Baden, there is suspicion that he was swapped as a baby, kidnapped, and kept in isolation to bring a collateral lineage to the throne. In the last 28 years, various genetic analyses have been carried out to investigate this possible aristocratic origin.

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  • Electrophysiologic changes in neurodegenerative disorders like Alzheimer's and Lewy Body disease can be identified using EEG, providing insight into disease severity.
  • Traditional EEG analysis is limited by biases from preset feature selection; this study uses a data-driven tensor decomposition method to extract key EEG activity features during resting states.
  • By analyzing data from over 11,000 patients, the researchers developed an algorithm to differentiate cognitive impairment and dementia types based on identifiable EEG patterns, which showed correlations with mental status and biomarkers.
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Objective: Over recent years, there has been a growing interest in exploring the utility of seizure risk forecasting, particularly how it could improve quality of life for people living with epilepsy. This study reports on user experiences and perspectives of a seizure risk forecaster app, as well as the potential impact on mood and adjustment to epilepsy.

Methods: Active app users were asked to complete a survey (baseline and 3-month follow-up) to assess perspectives on the forecast feature as well as mood and adjustment.

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Article Synopsis
  • Efficient, non-invasive monitoring methods can enhance the accuracy of seizure frequency tracking and identify comorbidities in epilepsy patients, with smartphone technology offering a practical solution.
  • This study evaluated keyboard usage on smartphones as an objective measure of seizure frequency in epilepsy patients, comparing cognitive abilities among participants.
  • Although keypress statistics during and after seizures did not show significant differences, cognitive impairment was linked to notable variations in keyboard usage, indicating that cognitive function may influence digital engagement in epilepsy patients.
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Relapse after anti-CD19 chimeric antigen receptor (CD19-CAR) occurs in a substantial proportion of patients with lymphoid malignancies. We assessed the potential benefits of co-administering CD20-targeting bispecific antibodies (CD20-BsAbs) with CD19-CAR T cells with the aim of enhancing immunotherapeutic efficacy. Addition of CD20-BsAbs to cocultures of CD19-CARs and primary samples of B-cell malignancies, comprising malignant B cells and endogenous T cells, significantly improved killing of malignant cells and enhanced the expansion of both endogenous T cells and CD19-CAR T cells.

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Studies suggest that self-reported seizure diaries suffer from 50% under-reporting on average. It is unknown to what extent this impacts medication management. This study used simulation to predict the seizure outcomes of a large heterogeneous clinic population treated with a standardized algorithm based on self-reported seizures.

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Lipid packing defects are known to serve as quantitative indicators for protein binding to lipid membranes. This paper presents a protocol for mapping molecular lipid detail onto a triangulated continuum leaflet representation. Besides establishing the desired forward counterpart to the existing inverse TS2CG map, this coarse-grained to triangulated surface (CG2TS) map enables straightforward extraction of the defect characteristics for any membrane geometry found in nature.

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This study aims to characterize the time course of impedance, a crucial electrophysiological property of brain tissue, in the human thalamus (THL), amygdala-hippocampus, and posterior hippocampus over an extended period.Impedance was periodically sampled every 5-15 min over several months in five subjects with drug-resistant epilepsy using an investigational neuromodulation device. Initially, we employed descriptive piecewise and continuous mathematical models to characterize the impedance response for approximately three weeks post-electrode implantation.

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Introduction And Importance: The foramen of Winslow hernia (FWH) is a rare type of internal hernia. In one-third of cases, the cecum was found in the lesser sac. More rarely, the herniated cecum might be volvulated, which represents 1-1.

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High frequency anterior nucleus of the thalamus deep brain stimulation (ANT DBS) is an established therapy for treatment resistant focal epilepsies. Although high frequency-ANT DBS is well tolerated, patients are rarely seizure free and the efficacy of other DBS parameters and their impact on comorbidities of epilepsy such as depression and memory dysfunction remain unclear. The purpose of this study was to assess the impact of low vs high frequency ANT DBS on verbal memory and self-reported anxiety and depression symptoms.

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The redirection of T cells has emerged as an attractive therapeutic principle in B cell non-Hodgkin lymphoma (B-NHL). However, a detailed characterization of lymphoma-infiltrating T cells across B-NHL entities is missing. Here we present an in-depth T cell reference map of nodal B-NHL, based on cellular indexing of transcriptomes and epitopes, T cell receptor sequencing, flow cytometry and multiplexed immunofluorescence applied to 101 lymph nodes from patients with diffuse large B cell, mantle cell, follicular or marginal zone lymphoma, and from healthy controls.

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Temporal lobe epilepsy is a common neurological disease characterized by recurrent seizures. These seizures often originate from limbic networks and people also experience chronic comorbidities related to memory, mood, and sleep (MMS). Deep brain stimulation targeting the anterior nucleus of the thalamus (ANT-DBS) is a proven therapy, but the optimal stimulation parameters remain unclear.

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Objective: Epilepsy management employs self-reported seizure diaries, despite evidence of seizure underreporting. Wearable and implantable seizure detection devices are now becoming more widely available. There are no clear guidelines about what levels of accuracy are sufficient.

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Objective: This study aims to characterize the time course of impedance, a crucial electrophysiological property of brain tissue, in the human thalamus (THL), amygdala-hippocampus (AMG-HPC), and posterior hippocampus (post-HPC) over an extended period.

Approach: Impedance was periodically sampled every 5-15 minutes over several months in five subjects with drug-resistant epilepsy using an experimental neuromodulation device. Initially, we employed descriptive piecewise and continuous mathematical models to characterize the impedance response for approximately three weeks post-electrode implantation.

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We evaluated whether spike ripples, the combination of epileptiform spikes and ripples, provide a reliable and improved biomarker for the epileptogenic zone compared with other leading interictal biomarkers in a multicentre, international study. We first validated an automated spike ripple detector on intracranial EEG recordings. We then applied this detector to subjects from four centres who subsequently underwent surgical resection with known 1-year outcomes.

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Article Synopsis
  • EEG source imaging helps locate the origins of epileptic activity in patients, making it vital for both clinical and research purposes in neurophysiology.
  • Accurate EEG source imaging depends on correctly modeling the head, skull, and scalp, as well as understanding various approaches to electrical source modeling.
  • The review discusses the theoretical aspects of these models and their practical implications for effective clinical and research applications.
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This study aims to identify the most significant features in physiological signals representing a biphasic pattern in the menstrual cycle using circular statistics which is an appropriate analytic method for the interpretation of data with a periodic nature. The results can be used empirically to determine menstrual phases. A non-uniform pattern was observed in ovulating subjects, with a significant periodicity (p0.

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  • This study reviews the occurrence of intracranial hemorrhage (ICH) during stereo-electroencephalography (sEEG), finding that 11% of cases had ICH, often without significant symptoms.!* -
  • Researchers analyzed data from 201 sEEG procedures at the Mayo Clinic between 2016 and 2022, discovering that most patients with ICH were either asymptomatic or had mild symptoms, and surgical outcomes were generally positive.!* -
  • The study suggests that ICH during sEEG is under-reported and highlights certain electroencephalographic patterns that could help in identifying ICH during sEEG monitoring.!*
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Purpose: Temporal encephaloceles are a cause of drug-resistant temporal lobe epilepsy; however, their relationship with epileptogenesis is unclear, and optimal surgical resection is uncertain. EEG source localization (ESL) may guide surgical decision-making.

Methods: We reviewed patients at Mayo Clinic Rochester with drug-resistant temporal lobe epilepsy and temporal encephaloceles, who underwent limited resection and had 1-year outcomes.

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