Probing the orientation specificity of excitatory and inhibitory circuitries in the primary motor cortex with multi-channel TMS.

Objective: Electric-field orientation is crucial for optimizing neuronal excitation in transcranial magnetic stimulation (TMS). Yet, the stimulus orientation effects on short-interval intracortical inhibition (SICI) and intracortical facilitation (ICF) are poorly understood due to technical challenges in manipulating the TMS-induced stimulus orientation within milliseconds. We aimed to assess the orientation sensitivity of SICI and ICF paradigms and identify optimal orientations for motor evoked potential (MEP) facilitation and suppression.

Clinical sensemaking: Advancing a conceptual learning model of clinical reasoning.

Context: Much remains unanswered regarding how clinical reasoning is learned in the clinical environment. This study attempts to unravel how novice medical students learn to reason, by examining how they make sense of the clinical patient encounter.

Method: The current study was part of a greater research project employing constructivist grounded theory (CGT) to develop a learning model of clinical reasoning.

Epstein-Barr Virus in the Cerebrospinal Fluid and Blood Compartments of Patients With Multiple Sclerosis and Controls.

Background And Objectives: Epstein-Barr virus (EBV) infection is a major risk factor of multiple sclerosis (MS). We examined the presence of EBV DNA in the CSF and blood of patients with MS and controls. We analyzed whether EBV DNA is more common in the CSF of patients with MS than in controls and estimated the proportions of EBV-positive B cells in the CSF and blood.

Cultured lymphocytes' mitochondrial genome integrity is not altered by cladribine.

Cladribine tablets are a treatment for multiple sclerosis with effects on lymphocytes, yet its mode of action has not been fully established. Here, we analyzed the effects of cladribine on mitochondrial DNA integrity in lymphocytes. We treated cultured human T-cell lines (CCRF-CEM and Jurkat) with varying concentrations of cladribine to mimic the slow cell depletion observed in treated patients.

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies.

The analysis of motor evoked potentials (MEPs) generated by transcranial magnetic stimulation (TMS) is crucial in research and clinical medical practice. MEPs are characterized by their latency and the treatment of a single patient may require the characterization of thousands of MEPs. Given the difficulty of developing reliable and accurate algorithms, currently the assessment of MEPs is performed with visual inspection and manual annotation by a medical expert; making it a time-consuming, inaccurate, and error-prone process.