Publications by authors named "Nawal Kinany"

Article Synopsis
  • Clinical research typically requires careful study designs that account for variables like sex and age, but often overlooks body size factors like height and weight in neuroimaging studies.
  • This study analyzed data from 267 healthy adults to explore how body height and weight relate to various brain and spinal cord MRI metrics, finding significant correlations, especially with brain gray matter volume and cervical spinal cord area.
  • The results suggest that body size is an important biological variable that should be included in clinical neuroimaging study designs to enhance accuracy in understanding brain and spinal cord structures.
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With the brain, the spinal cord forms the central nervous system. Initially considered a passive relay between the brain and the periphery, the spinal cord is now recognized as being active and plastic. Yet, it remains largely overlooked by the human neuroscience community, in stark contrast with the wealth of research investigating the brain.

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Functional magnetic resonance imaging (fMRI) has been widely employed to study stroke pathophysiology. In particular, analyses of fMRI signals at rest were directed at quantifying the impact of stroke on spatial features of brain networks. However, brain networks have intrinsic time features that were, so far, disregarded in these analyses.

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Epidural electrical stimulation (EES) targeting the dorsal roots of lumbosacral segments restores walking in people with spinal cord injury (SCI). However, EES is delivered with multielectrode paddle leads that were originally designed to target the dorsal column of the spinal cord. Here, we hypothesized that an arrangement of electrodes targeting the ensemble of dorsal roots involved in leg and trunk movements would result in superior efficacy, restoring more diverse motor activities after the most severe SCI.

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Functional magnetic resonance imaging (fMRI) has revolutionized the investigation of brain function. Similar approaches can be translated to probe spinal mechanisms. However, imaging the spinal cord remains challenging, notably due to its size and location.

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Article Synopsis
  • A new standardized quantitative MRI protocol for spinal cord imaging, called the spine generic protocol, has been developed to be used with 3T MRI systems from major manufacturers like GE, Philips, and Siemens.
  • The protocol includes specific imaging techniques for evaluating spinal cord macrostructure and microstructure, such as T1 and T2-weighted imaging to determine cross-sectional areas and diffusion-weighted imaging for white matter assessment.
  • An open-access document detailing the protocol is available online, providing a useful resource for researchers and clinicians aiming to enhance spinal cord imaging in neuroimaging practices.
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Article Synopsis
  • - The paper by Cohen-Adad et al. introduces a standardized MRI protocol for evaluating spinal cord integrity, tested across 19 and 42 centers for single and multi-subject datasets respectively, involving a total of 260 participants.
  • - The datasets are openly available online, allowing researchers to access valuable data for analysis using tools like the Spinal Cord Toolbox, which produces normative values and statistics on variability across sites and manufacturers.
  • - The protocol demonstrated high reproducibility with less than 5% variation across different sites and manufacturers, aiming to enhance the accessibility and reliability of quantitative MRI assessments in spinal research.
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The neuroimaging community has shown tremendous interest in exploring the brain's spontaneous activity using functional magnetic resonance imaging (fMRI). On the contrary, the spinal cord has been largely overlooked despite its pivotal role in processing sensorimotor signals. Only a handful of studies have probed the organization of spinal resting-state fluctuations, always using static measures of connectivity.

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Objective: Several training programs have been developed in the past to restore motor functions after stroke. Their efficacy strongly relies on the possibility to assess individual levels of impairment and recovery rate. However, commonly used clinical scales rely mainly on subjective functional assessments and are not able to provide a complete description of patients' neuro-biomechanical status.

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Background: In the past years, robotic systems have become increasingly popular in upper limb rehabilitation. Nevertheless, clinical studies have so far not been able to confirm superior efficacy of robotic therapy over conventional methods. The personalization of robot-aided therapy according to the patients' individual motor deficits has been suggested as a pivotal step to improve the clinical outcome of such approaches.

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The spinal cord is the main interface between the brain and the periphery. It notably plays a central role in motor control, as spinal motoneurons activate skeletal muscles involved in voluntary movements. Yet, the spinal mechanisms underlying human movement generation have not been completely elucidated.

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Background: Multiplayer video games promoting exercise-based rehabilitation may facilitate motor learning, by increasing motivation through social interaction. However, a major design challenge is to enable meaningful inter-subject interaction, whilst allowing for significant skill differences between players. We present a novel motor-training paradigm that allows real-time collaboration and performance enhancement, across a wide range of inter-subject skill mismatches, including disabled vs.

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