Publications by authors named "Taha A M Janjua"

Chronically implanted microelectrodes face adverse biological responses and various kinds of device failure. To overcome these challenges, a cranial window was developed allowing repeated access to the primary somatosensory cortex (S1) of the pig. This study evaluated the reliability of the signals recorded using repeated temporary placement of a micro-electrocorticography (µECoG) array via a cranial window.

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Micro-electrocorticography (µECoG) electrodes have emerged to balance the trade-off between invasiveness and signal quality in brain recordings. However, its large-scale applicability is still hindered by a lack of comparative studies assessing the relationship between ECoG and traditional recording methods such as penetrating electrodes. This study aimed to compare somatosensory evoked potentials (SEPs) through the lenses of a µECoG and an intracortical microelectrode array (MEA).

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Article Synopsis
  • The study aimed to create a long-term pain model using long-term potentiation in pigs to better understand pain mechanisms.
  • Researchers recorded brain activity in pigs before, during, and after stimulating the ulnar nerve with high-frequency stimulation (HFS) while also measuring their sensitivity to pain.
  • Results showed that mechanical sensitivity increased significantly after HFS and correlated with changes in brain activity, suggesting that the pig model closely mimics human pain conditions.
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Article Synopsis
  • The study aimed to track the development of ischemic stroke in pigs using intracortical recordings for high-resolution feedback on neural function, which could help in optimizing drug treatments.
  • Micro-electrode arrays were implanted into the pigs’ brains, and ischemic stroke was induced through a specific chemical injection, with neural responses measured continuously over time.
  • Results showed a significant decrease in cortical excitability after stroke, and the findings suggest that this pig model can bridge the gap between rodent studies and human applications for developing neuroprotective therapies.
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The knowledge of the morphology and morphometry of peripheral nerves is essential for developing neural interfaces and understanding nerve regeneration in basic and applied research. Currently, the most adopted animal model is the rat, even though recent studies have suggested that the neuroanatomy of large animal models is more comparable to humans. The present knowledge of the morphological structure of large animal models is limited; therefore, the present study aims to describe the morphological characteristics of the Ulnar Nerve (UN) in pigs.

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Decoding information from the peripheral nervous system via implantable neural interfaces remains a significant challenge, considerably limiting the advancement of neuromodulation and neuroprosthetic devices. The velocity selective recording (VSR) technique has been proposed to improve the classification of neural traffic by combining temporal and spatial information through a multi-electrode cuff (MEC). Therefore, this study investigates the feasibility of using the VSR technique to characterise fibre type based on the electrically evoked compound action potentials (eCAP) propagating along the ulnar nerve of pigs in vivo.

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This study implements the use of Danish Landrace pigs as subjects for the long-term potentiation (LTP)-like pain model. This is accomplished by analyzing changes in the primary somatosensory cortex (S1) in response to electrical stimulation on the ulnar nerve after applying high-frequency electrical stimulation (HFS) on the ulnar nerve. In this study, eight Danish Landrace pigs were electrically stimulated, through the ulnar nerve, to record the cortically evoked response in S1 by a 16-channel microelectrode array (MEA).

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Brain-computer interfaces (BCIs) have been proven to be useful for stroke rehabilitation, but there are a number of factors that impede the use of this technology in rehabilitation clinics and in home-use, the major factors including the usability and costs of the BCI system. The aims of this study were to develop a cheap 3D-printed wrist exoskeleton that can be controlled by a cheap open source BCI (OpenViBE), and to determine if training with such a setup could induce neural plasticity. Eleven healthy volunteers imagined wrist extensions, which were detected from single-trial electroencephalography (EEG), and in response to this, the wrist exoskeleton replicated the intended movement.

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There is growing evidence showing that spinal manipulation increases muscle strength in healthy individuals as well as in people with some musculoskeletal and neurological disorders. However, the underlying mechanism by which spinal manipulation changes muscle strength is less clear. This study aimed to assess the effects of a single spinal manipulation session on the electrophysiological and metabolic properties of the tibialis anterior (TA) muscle.

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