Publications by authors named "Marom Bikson"

Background: Post-acute sequelae of SARS-CoV-2 infection (PASC) is characterized by persistent cognitive deficits alongside anxiety and depression symptoms that adversely affect quality of life. Cognitive training (CT) programs and non-invasive neuromodulation, specifically transcranial direct current stimulation (tDCS), have each shown promise for alleviating similar deficits in non-clinical populations. However, their combined efficacy has not yet been evaluated in PASC patients.

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Background: Cognitive impairment is common in multiple sclerosis (MS). Transcranial direct current stimulation (tDCS) combined with adaptive cognitive training (aCT) may improve clinical outcomes.

Objective: To evaluate the effect of active vs.

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Transcranial direct current stimulation (tDCS) is a safe, well-tolerated method of non-invasively eliciting cortical neuromodulation. It has gained recent interest, especially for its positive clinical outcomes in neurodegenerative diseases such as multiple sclerosis (MS). However, its simultaneous (during tDCS) and cumulative effects (following repeated tDCS sessions) on the regional brain activity during rest need further investigation, especially in MS.

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Background: Opioid use disorder (OUD) is associated with considerable morbidity and mortality with limited treatment approaches. Understanding brain mechanisms in response to treatment could be useful in guiding future developments in treatment approaches.

Objective: The purpose of this study was to assess the effects of transcutaneous cervical vagus nerve stimulation (tcVNS) on brain response to opioid use cues in patients with OUD in opioid withdrawal.

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Transcranial direct current stimulation (tDCS) has generated some promising outcomes in primary progressive aphasia (PPA). The logopenic variant (lv-PPA), one of the most frequent PPA phenotypes, erodes the temporal-parietal junction (TPJ) generating impaired lexical processing, rapidly extending to semantic deficits. Positive tDCS effects have been reported in several small-cohort studies but there is need for rigorous sham-controlled double-blind investigations to substantiate, or not, beneficial effects.

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Spinal cord stimulation (SCS) models simulate the electric fields (-fields) generated in targeted tissues, which in turn govern physiological and then behavioral outcomes. Notwithstanding increasing sophistication and adoption in therapy optimization, SCS models typically calculate-fields using quasi-static approximation (QSA). QSA, as implemented in neuromodulation models, neglects the frequency-dependent tissue conductivity (dispersion), as well as propagation, capacitive, and inductive effects on the-field.

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BackgroundLow-intensity focused ultrasound (LIFU), a non-invasive targeted brain stimulation technology, has shown promise for therapeutic applications in Alzheimer's disease (AD) patients. Despite its potential, the implications of repeated LIFU neuromodulation in AD patients remain to be investigated.ObjectiveThis pilot study evaluated the safety and potential to improve cognition and functional connectivity following repeated LIFU treatment in AD patients.

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Thermal and mechanical tissue stimulation is widely utilized in various medical contexts, particularly to enhance local circulation, alleviate pain, and restore movement. Techniques to objectively quantify the physiological effects of these interventions support therapeutic efficacy and explain clinical benefits. Here we conducted a pilot trial to evaluate the feasibility of magnetic resonance imaging (MRI) technology to provide an objective assessment of acute treatment effects in enhancing blood flow.

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Objectives: The proposed mechanisms of spinal cord stimulation (SCS) follow the polarization of dorsal column axons; however, the development of subparesthesia SCS has encouraged the consideration of different targets. Given their relative proximity to the stimulation electrodes and their role in pain processing (eg, synaptic processing and gate control theory), spinal cord dorsal horn interneurons may be attractive stimulation targets.

Materials And Methods: We developed a computational modeling pipeline termed "quasiuniform-mirror assumption" and applied it to predict polarization of dorsal horn interneuron cell types (islet type, central type, stellate/radial, vertical-like) to SCS.

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Background: Chronic pain affects 20.5% of the US population, costing $296 billion annually in lost productivity. Spinal cord stimulation (SCS) has become a key treatment for refractory neuropathic and nociceptive pain, with increasing usage due to technological advancements.

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Depression is a common and debilitating disorder affecting millions. First-line treatments fail to achieve remission in about one-third of patients, highlighting a critical treatment need. Transcranial direct current stimulation (tDCS) has emerged as a novel treatment for depression.

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Transcutaneous Electrical Nerve Stimulation (TENS) to the lower back is an established electrical therapy for acute and chronic back pain. The efficacy and mechanisms of lower back TENS depend on the penetration depth of electrical current. We compare the intensity and spatial extent (depth) of current flow in the body during TENS with varied electrode positions/shapes on the human back.

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Introduction: Notwithstanding advances in computational models of neuromodulation, there are mismatches between simulated and experimental activation thresholds. Transcranial Magnetic Stimulation (TMS) of the primary motor cortex generates motor evoked potentials (MEPs). At the threshold of MEP generation, whole-head models predict macroscopic (at millimeter scale) electric fields (50-70 V/m) which are considerably below conventionally simulated cortical neuron thresholds (175-350 V/m).

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Fatigue is a common and often debilitating feature of multiple sclerosis (MS) that lacks reliably effective treatment options for most patients. Transcranial direct current stimulation (tDCS), a safe and well-tolerated type of noninvasive brain stimulation, is a low-cost and home-based approach with the potential to reduce fatigue in MS. We conducted a double-blind, sham-controlled, randomized clinical trial to compare active vs.

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Background: Modeling brain stimulation at the microscopic scale may reveal new paradigms for various stimulation modalities.

Objective: We present the largest map to date of extracellular electric field distributions within a layer L2/L3 mouse primary visual cortex brain sample. This was enabled by the automated analysis of serial section electron microscopy images with improved handling of image defects, covering a volume of 250 × 140 × 90 μm³.

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Article Synopsis
  • - The study investigates how spinal cord stimulation (SCS) models that calculate electric fields (E-fields) can be more accurately represented by considering frequency-dependent properties of spinal tissues, rather than using the traditional quasi-static approximation (QSA), which overlooks important factors.
  • - Researchers utilized a finite element method (FEM) to analyze E-fields for different stimulation controls and frequencies, comparing results with the QSA method across multiple locations in the spinal column and discovering that electrical properties significantly affect E-field magnitude.
  • - Findings reveal that the mode of stimulation (voltage-controlled vs. current-controlled) influences the E-field's impact on spinal cord heating and waveform distortion, with voltage-controlled methods being more affected by the frequency-dependent properties than current
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. Transcranial alternating current stimulation (tACS) enables non-invasive modulation of brain activity, holding promise for clinical and research applications. Yet, it remains unclear how the stimulation frequency differentially impacts various neuron types.

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Introduction: Notwithstanding advances in computational models of neuromodulation, there are mismatches between simulated and experimental activation thresholds. Transcranial Magnetic Stimulation (TMS) of the primary motor cortex generates motor evoked potentials (MEPs). At the threshold of MEP generation, whole-head models predict macroscopic (at millimeter scale) electric fields (50-70 V/m) which are considerably below conventionally simulated cortical neuron thresholds (175-350 V/m).

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Article Synopsis
  • Older adults with major depressive disorder (MDD) or mild cognitive impairment (MCI) are at increased risk for cognitive decline, making effective interventions crucial.
  • This study aimed to evaluate the effectiveness of combining cognitive remediation (CR) and transcranial direct current stimulation (tDCS) on cognitive decline in older adults with remitted MDD (rMDD) and/or MCI.
  • Results indicated that this intervention slowed cognitive decline over time but did not lead to immediate improvements in cognition after 2 months.
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Background: Many individuals with progressive multiple sclerosis (PMS) are challenged by reduced manual dexterity and limited rehabilitation options. Transcranial direct current stimulation (tDCS) during motor training can improve rehabilitation outcomes. We developed a protocol for remotely supervising tDCS to deliver sessions of stimulation paired with training at home.

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Attempts to dissociate electroconvulsive therapy (ECT) therapeutic efficacy from cognitive side effects of ECT include modifying electrode placement, but traditional electrode placements employing 2 large electrodes are inherently nonfocal, limiting the ability to selectively engage targets associated with clinical benefit while avoiding nontargets associated with adverse side effects. Limited focality represents a technical limitation of conventional ECT, and there is growing evidence that the spatial distribution of the ECT electric fields induced in the brain drives efficacy and side effects. Computational models can be used to predict brain current flow patterns for existing and novel ECT montages.

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