The Neuroscience Experiments System (NES)–A Software Tool to Manage Experimental Data and Its Provenance

Ruiz-Olazar, Margarita; Rocha, Evandro Santos; Vargas, Cláudia D.; Braghetto, Kelly Rosa

doi:10.3389/fninf.2021.768615

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…Patients with a diagnosis of unilateral TBPI were recruited using a digital database developed at the Laboratory of Neurosciences and Rehabilitation (LabNeR) (Patroclo et al, 2019 ) and stored on the Neuroscience Experiment System (NES) platform (Ruiz-Olazar et al, 2022 ). This database contains clinical and neurophysiological information from adult patients with TBPI treated at the Institute of Neurology Deolindo Couto (INDC) at the Federal University of Rio de Janeiro (UFRJ) or at the National Institute of Traumatology and Orthopedics Jamil Haddad (INTO).…”

Section: Methodsmentioning

confidence: 99%

Plasticity of face–hand sensorimotor circuits after a traumatic brachial plexus injury

et al. 2023

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BackgroundInteractions between the somatosensory and motor cortices are of fundamental importance for motor control. Although physically distant, face and hand representations are side by side in the sensorimotor cortex and interact functionally. Traumatic brachial plexus injury (TBPI) interferes with upper limb sensorimotor function, causes bilateral cortical reorganization, and is associated with chronic pain. Thus, TBPI may affect sensorimotor interactions between face and hand representations.ObjectiveThe aim of this study was to investigate changes in hand–hand and face–hand sensorimotor integration in TBPI patients using an afferent inhibition (AI) paradigm.MethodThe experimental design consisted of electrical stimulation (ES) applied to the hand or face followed by transcranial magnetic stimulation (TMS) to the primary motor cortex to activate a hand muscle representation. In the AI paradigm, the motor evoked potential (MEP) in a target muscle is significantly reduced when preceded by an ES at short-latency (SAI) or long-latency (LAI) interstimulus intervals. We tested 18 healthy adults (control group, CG), evaluated on the dominant upper limb, and nine TBPI patients, evaluated on the injured or the uninjured limb. A detailed clinical evaluation complemented the physiological investigation.ResultsAlthough hand–hand SAI was present in both the CG and the TBPI groups, hand–hand LAI was present in the CG only. Moreover, less AI was observed in TBPI patients than the CG both for face–hand SAI and LAI.ConclusionOur results indicate that sensorimotor integration involving both hand and face sensorimotor representations is affected by TBPI.

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Section: Methodsmentioning

confidence: 99%

Plasticity of face–hand sensorimotor circuits after a traumatic brachial plexus injury

et al. 2023

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“…Patients with a diagnosis of unilateral TBPI were recruited using a digital database developed at the Laboratory of Neurosciences and Rehabilitation (LabNeR) (Patroclo et al, 2019) and stored on the Neuroscience Experiment System (NES) platform (Ruiz-Olazar et al, 2022). This database consists of a collection of clinical and neurophysiological information from adult patients with TBPI treated at the Institute of Neurology Deolindo Couto (INDC) at the Federal University of Rio de Janeiro (UFRJ), or at the National Institute of Traumatology and Orthopedics Jamil Haddad (INTO).…”

Section: Methodsmentioning

confidence: 99%

Plasticity of the face-hand sensorimotor circuits after a traumatic brachial plexus injury

Torres

Ramalho

Rodrigues

et al. 2022

Preprint

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Background: Traumatic brachial plexus injury (TBPI) is a potentially debilitating event, that usually affects young men following car or motorbike accidents. TBPI interferes with hand sensorimotor function, is associated with chronic pain, and causes cortical reorganization. Interactions between the somatosensory and motor cortices are of fundamental importance for motor control. The hands and face stand out as regions of high functionality with a privileged interaction existing between them, as reflected by the proximity and extension of their representations. Face-hand sensorimotor interactions have been demonstrated in healthy subjects. Objective: The aim of this study was to investigate changes in the sensorimotor interaction in the hand and between the face and the hand in TBPI patients in order to better understand the plasticity of face-hand sensorimotor circuits following TBPI. Method: The experimental design consisted of activating the representation of a hand muscle using transcranial magnetic stimulation (TMS) preceded by an electrical stimulation (ES) applied to the hand or face, which allows the investigation of the cortical reorganization resulting from TBPI. In the paradigm called afferent inhibition (AI), the motor evoked potential (MEP) in a target muscle is significantly reduced by a previous peripheral ES. AI can be evoked in short-latency (SAI) or long-latency (LAI) interstimulus intervals. Nine TBPI patients participated: five had partial sensorimotor function in their hands and were evaluated on the injured side (TBPI-I group) and four had complete loss of sensorimotor function in their hands and were evaluated on the uninjured side (TBPI-UI group). A control group (CG) included 18 healthy adults. A detailed clinical evaluation complemented the analysis. Results: The results showed preserved hand sensorimotor integration for TBPI patients at SAI intervals, but not at LAI intervals. For the face-to-hand sensorimotor integration, the results showed no inhibition at SAI intervals for the TBPI patients. For LAI intervals, a facilitation effect was observed for the TBPI patients, an effect we termed long afferent facilitation or LAF. LAF positively correlated with results in the Central Sensitization Inventory and in the Disabilities Arm, Shoulder, and Hand questionnaire. Conclusion: These results point to the existence of an inhibitory regulation system between the representations of the face and the hand that seems to be suppressed in TBPI and correlates with pain. Moreover, brain changes arising from TBPI are not restricted to the hemisphere contralateral to the injured limb, but extend to both hemispheres.

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“…Neuroinformatics is the study of the neurological system via the development of databases and tools that aims to design and manage web-accessible databases of experimental and computational data and novel software tools that are necessary for understanding the nervous system in diseased and healthy states ( Pu and Li, 2018 ; Usman et al, 2022 ). Brain imaging using positron emission tomography ( Kaswan et al, 2021 ; Ruiz-Olazar et al, 2021 ), functional magnetic resonance imaging ( Stefanovski et al, 2021 ; Li et al, 2022 ), electroencephalography ( Wojcik et al, 2018 ; Shirbandi et al, 2021 ), magnetoencephalography ( Gorina-Careta et al, 2021 ), and other methods; several electrophysiological recording methods; and clinical neurological data are examples of neuroinformatics ( Sharma et al, 2019 ). In an interesting study, 679 flavonoid-based compounds and their 481 relative targets were screened, and their bioinformatic analysis exhibited multiple pharmacological pathways, especially for neuronal diseases.…”

Section: Traditional Holistic Approach For the Management Of Neurolog...mentioning

confidence: 99%

Natural product-based pharmacological studies for neurological disorders

Puri

Kanojia²,

Sharma³

et al. 2022

Front. Pharmacol.

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Central nervous system (CNS) disorders and diseases are expected to rise sharply in the coming years, partly because of the world’s aging population. Medicines for the treatment of the CNS have not been successfully made. Inadequate knowledge about the brain, pharmacokinetic and dynamic errors in preclinical studies, challenges with clinical trial design, complexity and variety of human brain illnesses, and variations in species are some potential scenarios. Neurodegenerative diseases (NDDs) are multifaceted and lack identifiable etiological components, and the drugs developed to treat them did not meet the requirements of those who anticipated treatments. Therefore, there is a great demand for safe and effective natural therapeutic adjuvants. For the treatment of NDDs and other memory-related problems, many herbal and natural items have been used in the Ayurvedic medical system. Anxiety, depression, Parkinson’s, and Alzheimer’s diseases (AD), as well as a plethora of other neuropsychiatric disorders, may benefit from the use of plant and food-derived chemicals that have antidepressant or antiepileptic properties. We have summarized the present level of knowledge about natural products based on topological evidence, bioinformatics analysis, and translational research in this review. We have also highlighted some clinical research or investigation that will help us select natural products for the treatment of neurological conditions. In the present review, we have explored the potential efficacy of phytoconstituents against neurological diseases. Various evidence-based studies and extensive recent investigations have been included, which will help pharmacologists reduce the progression of neuronal disease.

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The Neuroscience Experiments System (NES)–A Software Tool to Manage Experimental Data and Its Provenance

Cited by 5 publications

References 26 publications

Plasticity of face–hand sensorimotor circuits after a traumatic brachial plexus injury

Plasticity of face–hand sensorimotor circuits after a traumatic brachial plexus injury

Plasticity of the face-hand sensorimotor circuits after a traumatic brachial plexus injury

Natural product-based pharmacological studies for neurological disorders

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