NeuroHub

Recursos Cientificos

En NeuroeXpand ofrecemos soluciones de vanguardia a pacientes, médicos e instituciones para el diagnóstico y tratamiento de enfermedades neurológicas. Nos enorgullecemos del impacto positivo que tenemos en la vida de los pacientes a través de la integración de tecnologías y atención personalizada con un enfoque humano.

Biblioteca CientÍfica

Evidencia que respalda nuestros protocolos

Los siguientes recursos bibliográficos son la base científica de los protocolos clínicos que aplicamos en NeuroeXpand. Están organizados por especialidad para facilitar su consulta por parte de pacientes, familiares y médicos referidores.

EEG
Polisomnografía
Neuro-rehabilitación ICTUS
Neuro-rehabilitación Esclerosis Múltiple
Entrenamiento Cognitivo

Artículos e investigaciones realizadas con los equipos de electroencefalografía utilizados en NeuroeXpand.

Adult EEG

Publicación en PubMed — Adult EEG

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Adult EEG

Intention-Action Conflict EEG-Hand Kinematics Dataset for Unimanual Control under Congruent and Incongruent Conditions

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Ambulatory EEG

Publicación en PubMed — Ambulatory EEG

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Video EEG

Electroencephalographic (EEG) video monitoring

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Recursos e investigaciones de referencia sobre estudios del sueño y polisomnografía.

Recurso institucional

American Academy of Sleep Medicine — Recursos para pacientes

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Apnea obstructiva

Uso de polisomnografías en pacientes con apnea obstructiva del sueño

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Referencias bibliográficas del protocolo clínico de neuro-rehabilitación en pacientes con ictus.

[1]
Gladstone, D. J., Danells, C. J., & Black, S. E. (2002). The Fugl-Meyer assessment of motor recovery after stroke: a critical review of its measurement properties. Neurorehabilitation and Neural Repair, 16(3), 232–240. [PubMed]

[2]
Bushnell, C., Bettger, J. P., Cockroft, K. M., et al. (2015). Chronic stroke outcome measures for motor function intervention trials: Expert panel recommendations. Circulation. Cardiovascular Quality and Outcomes, 8(6 Suppl 3), S6–9. [PubMed]

[3]
Duncan, P. W., Propst, M., & Nelson, S. G. (1983). Reliability of the Fugl-Meyer assessment of sensorimotor recovery following cerebrovascular accident. Physical Therapy, 63(10), 1606–1610. [PubMed]

[4]
Sanford, J., Moreland, J., Swanson, L. R., Stratford, P. W., & Gowland, C. (1993). Reliability of the Fugl-Meyer assessment for testing motor performance in patients following stroke. Physical Therapy, 73(7), 447–454. [PubMed]

[5]
Woytowicz, E. J., et al. (2017). Determining levels of upper extremity movement impairment by applying a cluster analysis to the Fugl-Meyer assessment of the upper extremity in chronic stroke. Archives of Physical Medicine and Rehabilitation, 98(3), 456–462. [PubMed]

[6]
Page, S. J., Fulk, G. D., & Boyne, P. (2012). Clinically important differences for the upper-extremity Fugl-Meyer Scale in people with minimal to moderate impairment due to chronic stroke. Physical Therapy, 92(6), 791–798. [PubMed]

[7]
Sebastián-Romagosa, M., et al. (2020). EEG biomarkers related with the functional state of stroke patients. Frontiers in Neuroscience, 14, 582. [PubMed]

[8]
Sebastián-Romagosa, M., et al. (2020). Brain computer interface treatment for motor rehabilitation of upper extremity of stroke patients: a feasibility study. Frontiers in Neuroscience, 14, 591945. [PubMed]

[9]
Perera, S., et al. (2006). Meaningful change and responsiveness in common physical performance measures in older adults. Journal of the American Geriatrics Society, 54(5), 743–749. [PubMed]

[10]
Peurala, S. H., et al. (2005). The effectiveness of body weight-supported gait training and floor walking in patients with chronic stroke. Archives of Physical Medicine and Rehabilitation, 86(8), 1557–1564. [PubMed]

Referencias bibliográficas del protocolo clínico de neuro-rehabilitación en pacientes con Esclerosis Múltiple.

[1] McGinley, M. P., Goldschmidt, C., & Rae-Grant, A. (2021). Diagnosis and Treatment of Multiple Sclerosis. JAMA, 325(8), 765. [PubMed]

[2] Fox, R. J., et al. (2015). Prevalence of multiple sclerosis symptoms across lifespan: data from the NARCOMS Registry, 16(2), 78. [PubMed]

[3] Stella, A. B., et al. (2020). Comfortable walking speed and energy cost of locomotion in patients with multiple sclerosis. European Journal of Applied Physiology, 120(3), 555–566. [PubMed]

[4] Goldman, M. D., Marrie, R. A., & Cohen, J. A. (2008). Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls. Multiple Sclerosis Journal, 14(3), 83–90. [PubMed]

[5] Sebastião, E., et al. (2016). Validity of the Timed Up and Go Test as a Measure of Functional Mobility in Persons With Multiple Sclerosis. Archives of Physical Medicine and Rehabilitation, 97(7), 1072–1077. [PubMed]

[6] Christopher, A., et al. (2019). The reliability and validity of the Timed Up and Go as a clinical tool in individuals with and without disabilities across a lifespan. Disability and Rehabilitation, 43(1), 1799–8. [PubMed]

[7] Kalinowski, A., et al. (2022). The timed 25-foot walk in a large cohort of multiple sclerosis patients. Multiple Sclerosis Journal, 28(2), 289–299. [PubMed]

[8] Motl, R. W., et al. (2017). Validity of the timed 25-foot walk as an ambulatory performance outcome measure for multiple sclerosis. Multiple Sclerosis Journal, 23(5), 704–710. [PubMed]

[9] Riazi, A., et al. (2002). Multiple Sclerosis Impact Scale (MSIS-29): reliability and validity in hospital based samples. Journal of Neurology, Neurosurgery & Psychiatry, 73(6), 701–704. [PubMed]

[10] Riemenschneider, M., et al. (2022). Multimethodological validation of the modified fatigue impact scale in a Danish population of people with Multiple Sclerosis. Multiple Sclerosis and Related Disorders, 65, 104026. [PubMed]

[11] Chung, Y. H., et al. (2022). Validity and reliability of Korean version of Modified Fatigue Impact Scale (MFIS) for Korean patients with Multiple Sclerosis. Multiple Sclerosis and Related Disorders, 62, 103086. [PubMed]

[12] Mokkink, L. B., et al. (2010). The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes. Journal of Clinical Epidemiology, 63(7), 737–745. [PubMed]

[13] Oosterveer, D. M., et al. (2022). Determining the minimal important change of the 6-minute walking test in Multiple Sclerosis patients using a predictive modelling anchor-based method. Multiple Sclerosis and Related Disorders, 57, 103486. [PubMed]

Artículos científicos publicados que respaldan el programa de entrenamiento cognitivo de NeuroeXpand.

Neuroplasticidad

Effects of computerized working memory training on neuroplasticity in healthy individuals: A combined neuroimaging and neurotransmitter study.

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Memoria de trabajo

The neuroscience of working memory capacity and training.

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Esclerosis múltiple

Cognitive function in multiple sclerosis improves with telerehabilitation.

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Salud psicológica

Can computerized working memory training improve impaired working memory, cognition and psychological health?