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Showing 1 to 12 of 24 entries
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Autism and Schizophrenia: Intestinal Disorders.

Nutritional neuroscience

Cade R, Privette M, Fregly M, Rowland N, Sun Z, Zele V, Wagemaker H, Edelstein C.
PMID: 27416160
Nutr Neurosci. 2000;3(1):57-72. doi: 10.1080/1028415X.2000.11747303.

We examined Dohan's hypothesis that schizophrenia is associated with the absorption of "exorphins" contained in gluten and casein. In addition, because of the work of Reichelt et al. (Reichelt, K.L., Saelid, G., Lindback, J. and Orbeck, H. (1986) Biological...

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Cade R, Privette M, Fregly M, et al. Autism and Schizophrenia: Intestinal Disorders. Nutr Neurosci. 2000;3(1):57-72doi: 10.1080/1028415X.2000.11747303.
Cade, R., Privette, M., Fregly, M., Rowland, N., Sun, Z., Zele, V., Wagemaker, H., & Edelstein, C. (2000). Autism and Schizophrenia: Intestinal Disorders. Nutritional neuroscience, 3(1), 57-72. https://doi.org/10.1080/1028415X.2000.11747303
Cade, R, et al. "Autism and Schizophrenia: Intestinal Disorders." Nutritional neuroscience vol. 3,1 (2000): 57-72. doi: https://doi.org/10.1080/1028415X.2000.11747303
Cade R, Privette M, Fregly M, Rowland N, Sun Z, Zele V, Wagemaker H, Edelstein C. Autism and Schizophrenia: Intestinal Disorders. Nutr Neurosci. 2000;3(1):57-72. doi: 10.1080/1028415X.2000.11747303. PMID: 27416160.
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Parallel global optimization with the particle swarm algorithm.

International journal for numerical methods in engineering

Schutte JF, Reinbolt JA, Fregly BJ, Haftka RT, George AD.
PMID: 17891226
Int J Numer Methods Eng. 2004 Dec 07;61(13):2296-2315. doi: 10.1002/nme.1149.

Present day engineering optimization problems often impose large computational demands, resulting in long solution times even on a modern high-end processor. To obtain enhanced computational throughput and global search capability, we detail the coarse-grained parallelization of an increasingly popular...

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Schutte JF, Reinbolt JA, Fregly BJ, et al. Parallel global optimization with the particle swarm algorithm. Int J Numer Methods Eng. 2004;61(13):2296-2315doi: 10.1002/nme.1149.
Schutte, J. F., Reinbolt, J. A., Fregly, B. J., Haftka, R. T., & George, A. D. (2004). Parallel global optimization with the particle swarm algorithm. International journal for numerical methods in engineering, 61(13), 2296-2315. https://doi.org/10.1002/nme.1149
Schutte, J F, et al. "Parallel global optimization with the particle swarm algorithm." International journal for numerical methods in engineering vol. 61,13 (2004): 2296-2315. doi: https://doi.org/10.1002/nme.1149
Schutte JF, Reinbolt JA, Fregly BJ, Haftka RT, George AD. Parallel global optimization with the particle swarm algorithm. Int J Numer Methods Eng. 2004 Dec 07;61(13):2296-2315. doi: 10.1002/nme.1149. PMID: 17891226; PMCID: PMC1989676.
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Design of Optimal Treatments for Neuromusculoskeletal Disorders using Patient-Specific Multibody Dynamic Models.

International journal for computational vision and biomechanics

Fregly BJ.
PMID: 21785529
Int J Comput Vis Biomech. 2009 Jul 01;2(2):145-155.

Disorders of the human neuromusculoskeletal system such as osteoarthritis, stroke, cerebral palsy, and paraplegia significantly affect mobility and result in a decreased quality of life. Surgical and rehabilitation treatment planning for these disorders is based primarily on static anatomic...

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Fregly BJ. Design of Optimal Treatments for Neuromusculoskeletal Disorders using Patient-Specific Multibody Dynamic Models. Int J Comput Vis Biomech. 2009;2(2):145-155
Fregly, B. J. (2009). Design of Optimal Treatments for Neuromusculoskeletal Disorders using Patient-Specific Multibody Dynamic Models. International journal for computational vision and biomechanics, 2(2), 145-155.
Fregly, Benjamin J. "Design of Optimal Treatments for Neuromusculoskeletal Disorders using Patient-Specific Multibody Dynamic Models." International journal for computational vision and biomechanics vol. 2,2 (2009): 145-155.
Fregly BJ. Design of Optimal Treatments for Neuromusculoskeletal Disorders using Patient-Specific Multibody Dynamic Models. Int J Comput Vis Biomech. 2009 Jul 01;2(2):145-155. PMID: 21785529; PMCID: PMC3141573.
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Gait modification to treat knee osteoarthritis.

HSS journal : the musculoskeletal journal of Hospital for Special Surgery

Fregly BJ.
PMID: 23372529
HSS J. 2012 Feb;8(1):45-8. doi: 10.1007/s11420-011-9229-9. Epub 2011 Dec 28.

No abstract available.

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Fregly BJ. Gait modification to treat knee osteoarthritis. HSS J. 2011;8(1):45-8doi: 10.1007/s11420-011-9229-9.
Fregly, B. J. (2012). Gait modification to treat knee osteoarthritis. HSS journal : the musculoskeletal journal of Hospital for Special Surgery, 8(1), 45-8. https://doi.org/10.1007/s11420-011-9229-9
Fregly, Benjamin J. "Gait modification to treat knee osteoarthritis." HSS journal : the musculoskeletal journal of Hospital for Special Surgery vol. 8,1 (2012): 45-8. doi: https://doi.org/10.1007/s11420-011-9229-9
Fregly BJ. Gait modification to treat knee osteoarthritis. HSS J. 2012 Feb;8(1):45-8. doi: 10.1007/s11420-011-9229-9. Epub 2011 Dec 28. PMID: 23372529; PMCID: PMC3295941.
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Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking.

Frontiers in bioengineering and biotechnology

Arones MM, Shourijeh MS, Patten C, Fregly BJ.
PMID: 33324623
Front Bioeng Biotechnol. 2020 Nov 26;8:588925. doi: 10.3389/fbioe.2020.588925. eCollection 2020.

Assessment of metabolic cost as a metric for human performance has expanded across various fields within the scientific, clinical, and engineering communities. As an alternative to measuring metabolic cost experimentally, musculoskeletal models incorporating metabolic cost models have been developed....

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Arones MM, Shourijeh MS, Patten C, et al. Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking. Front Bioeng Biotechnol. 2020;8:588925doi: 10.3389/fbioe.2020.588925.
Arones, M. M., Shourijeh, M. S., Patten, C., & Fregly, B. J. (2020). Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking. Frontiers in bioengineering and biotechnology, 8588925. https://doi.org/10.3389/fbioe.2020.588925
Arones, Marleny M, et al. "Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking." Frontiers in bioengineering and biotechnology vol. 8 (2020): 588925. doi: https://doi.org/10.3389/fbioe.2020.588925
Arones MM, Shourijeh MS, Patten C, Fregly BJ. Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking. Front Bioeng Biotechnol. 2020 Nov 26;8:588925. doi: 10.3389/fbioe.2020.588925. eCollection 2020. PMID: 33324623; PMCID: PMC7725798.
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Welcome to 2022.

PM & R : the journal of injury, function, and rehabilitation

Friedly J.
PMID: 34954908
PM R. 2021 Dec 26; doi: 10.1002/pmrj.12751. Epub 2021 Dec 26.

No abstract available.

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Friedly J. Welcome to 2022. PM R. 2021;doi: 10.1002/pmrj.12751.
Friedly, J. (2021). Welcome to 2022. PM & R : the journal of injury, function, and rehabilitation, . https://doi.org/10.1002/pmrj.12751
Friedly, Janna. "Welcome to 2022." PM & R : the journal of injury, function, and rehabilitation vol. (2021). doi: https://doi.org/10.1002/pmrj.12751
Friedly J. Welcome to 2022. PM R. 2021 Dec 26; doi: 10.1002/pmrj.12751. Epub 2021 Dec 26. PMID: 34954908.
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Muscle Synergies Modify Optimization Estimates of Joint Stiffness During Walking.

Journal of biomechanical engineering

Shourijeh MS, Fregly BJ.
PMID: 31343670
J Biomech Eng. 2020 Jan 01;142(1). doi: 10.1115/1.4044310.

Because of its simplicity, static optimization (SO) is frequently used to resolve the muscle redundancy problem (i.e., more muscles than degrees-of-freedom (DOF) in the human musculoskeletal system). However, SO minimizes antagonistic co-activation and likely joint stiffness as well, which...

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Shourijeh MS, Fregly BJ. Muscle Synergies Modify Optimization Estimates of Joint Stiffness During Walking. J Biomech Eng. 2020;142(1)doi: 10.1115/1.4044310.
Shourijeh, M. S., & Fregly, B. J. (2020). Muscle Synergies Modify Optimization Estimates of Joint Stiffness During Walking. Journal of biomechanical engineering, 142(1), . https://doi.org/10.1115/1.4044310
Shourijeh, Mohammad S, and Fregly, Benjamin J. "Muscle Synergies Modify Optimization Estimates of Joint Stiffness During Walking." Journal of biomechanical engineering vol. 142,1 (2020). doi: https://doi.org/10.1115/1.4044310
Shourijeh MS, Fregly BJ. Muscle Synergies Modify Optimization Estimates of Joint Stiffness During Walking. J Biomech Eng. 2020 Jan 01;142(1). doi: 10.1115/1.4044310. PMID: 31343670.
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Recent trends in assistive technology for mobility.

Journal of neuroengineering and rehabilitation

Cowan RE, Fregly BJ, Boninger ML, Chan L, Rodgers MM, Reinkensmeyer DJ.
PMID: 22520500
J Neuroeng Rehabil. 2012 Apr 20;9:20. doi: 10.1186/1743-0003-9-20.

Loss of physical mobility makes maximal participation in desired activities more difficult and in the worst case fully prevents participation. This paper surveys recent work in assistive technology to improve mobility for persons with a disability, drawing on examples...

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Cowan RE, Fregly BJ, Boninger ML, et al. Recent trends in assistive technology for mobility. J Neuroeng Rehabil. 2012;9:20doi: 10.1186/1743-0003-9-20.
Cowan, R. E., Fregly, B. J., Boninger, M. L., Chan, L., Rodgers, M. M., & Reinkensmeyer, D. J. (2012). Recent trends in assistive technology for mobility. Journal of neuroengineering and rehabilitation, 920. https://doi.org/10.1186/1743-0003-9-20
Cowan, Rachel E, et al. "Recent trends in assistive technology for mobility." Journal of neuroengineering and rehabilitation vol. 9 (2012): 20. doi: https://doi.org/10.1186/1743-0003-9-20
Cowan RE, Fregly BJ, Boninger ML, Chan L, Rodgers MM, Reinkensmeyer DJ. Recent trends in assistive technology for mobility. J Neuroeng Rehabil. 2012 Apr 20;9:20. doi: 10.1186/1743-0003-9-20. PMID: 22520500; PMCID: PMC3474161.
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Reply.

Pain

Friedly J, Comstock B, Suri P, Jarvik JJG.
PMID: 30431522
Pain. 2018 Dec;159(12):2678-2679. doi: 10.1097/j.pain.0000000000001411.

No abstract available.

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Friedly J, Comstock B, Suri P, et al. Reply. Pain. 2018;159(12):2678-2679doi: 10.1097/j.pain.0000000000001411.
Friedly, J., Comstock, B., Suri, P., & Jarvik, J. J. G. (2018). Reply. Pain, 159(12), 2678-2679. https://doi.org/10.1097/j.pain.0000000000001411
Friedly, Janna, et al. "Reply." Pain vol. 159,12 (2018): 2678-2679. doi: https://doi.org/10.1097/j.pain.0000000000001411
Friedly J, Comstock B, Suri P, Jarvik JJG. Reply. Pain. 2018 Dec;159(12):2678-2679. doi: 10.1097/j.pain.0000000000001411. PMID: 30431522.
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Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies.

Frontiers in computational neuroscience

Ao D, Shourijeh MS, Patten C, Fregly BJ.
PMID: 33343322
Front Comput Neurosci. 2020 Dec 04;14:588943. doi: 10.3389/fncom.2020.588943. eCollection 2020.

Electromyography (EMG)-driven musculoskeletal modeling relies on high-quality measurements of muscle electrical activity to estimate muscle forces. However, a critical challenge for practical deployment of this approach is missing EMG data from muscles that contribute substantially to joint moments. This...

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Ao D, Shourijeh MS, Patten C, et al. Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies. Front Comput Neurosci. 2020;14:588943doi: 10.3389/fncom.2020.588943.
Ao, D., Shourijeh, M. S., Patten, C., & Fregly, B. J. (2020). Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies. Frontiers in computational neuroscience, 14588943. https://doi.org/10.3389/fncom.2020.588943
Ao, Di, et al. "Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies." Frontiers in computational neuroscience vol. 14 (2020): 588943. doi: https://doi.org/10.3389/fncom.2020.588943
Ao D, Shourijeh MS, Patten C, Fregly BJ. Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies. Front Comput Neurosci. 2020 Dec 04;14:588943. doi: 10.3389/fncom.2020.588943. eCollection 2020. PMID: 33343322; PMCID: PMC7746870.
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Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions.

Frontiers in bioengineering and biotechnology

Meyer AJ, Eskinazi I, Jackson JN, Rao AV, Patten C, Fregly BJ.
PMID: 27790612
Front Bioeng Biotechnol. 2016 Oct 13;4:77. doi: 10.3389/fbioe.2016.00077. eCollection 2016.

Researchers have explored a variety of neurorehabilitation approaches to restore normal walking function following a stroke. However, there is currently no objective means for prescribing and implementing treatments that are likely to maximize recovery of walking function for any...

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Meyer AJ, Eskinazi I, Jackson JN, et al. Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions. Front Bioeng Biotechnol. 2016;4:77doi: 10.3389/fbioe.2016.00077.
Meyer, A. J., Eskinazi, I., Jackson, J. N., Rao, A. V., Patten, C., & Fregly, B. J. (2016). Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions. Frontiers in bioengineering and biotechnology, 477. https://doi.org/10.3389/fbioe.2016.00077
Meyer, Andrew J, et al. "Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions." Frontiers in bioengineering and biotechnology vol. 4 (2016): 77. doi: https://doi.org/10.3389/fbioe.2016.00077
Meyer AJ, Eskinazi I, Jackson JN, Rao AV, Patten C, Fregly BJ. Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions. Front Bioeng Biotechnol. 2016 Oct 13;4:77. doi: 10.3389/fbioe.2016.00077. eCollection 2016. PMID: 27790612; PMCID: PMC5061852.
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How Well Do Commonly Used Co-contraction Indices Approximate Lower Limb Joint Stiffness Trends During Gait for Individuals Post-stroke?.

Frontiers in bioengineering and biotechnology

Li G, Shourijeh MS, Ao D, Patten C, Fregly BJ.
PMID: 33490046
Front Bioeng Biotechnol. 2021 Jan 07;8:588908. doi: 10.3389/fbioe.2020.588908. eCollection 2020.

Muscle co-contraction generates joint stiffness to improve stability and accuracy during limb movement but at the expense of higher energetic cost. However, quantification of joint stiffness is difficult using either experimental or computational means. In contrast, quantification of muscle...

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Li G, Shourijeh MS, Ao D, et al. How Well Do Commonly Used Co-contraction Indices Approximate Lower Limb Joint Stiffness Trends During Gait for Individuals Post-stroke?. Front Bioeng Biotechnol. 2021;8:588908doi: 10.3389/fbioe.2020.588908.
Li, G., Shourijeh, M. S., Ao, D., Patten, C., & Fregly, B. J. (2020). How Well Do Commonly Used Co-contraction Indices Approximate Lower Limb Joint Stiffness Trends During Gait for Individuals Post-stroke?. Frontiers in bioengineering and biotechnology, 8588908. https://doi.org/10.3389/fbioe.2020.588908
Li, Geng, et al. "How Well Do Commonly Used Co-contraction Indices Approximate Lower Limb Joint Stiffness Trends During Gait for Individuals Post-stroke?." Frontiers in bioengineering and biotechnology vol. 8 (2020): 588908. doi: https://doi.org/10.3389/fbioe.2020.588908
Li G, Shourijeh MS, Ao D, Patten C, Fregly BJ. How Well Do Commonly Used Co-contraction Indices Approximate Lower Limb Joint Stiffness Trends During Gait for Individuals Post-stroke?. Front Bioeng Biotechnol. 2021 Jan 07;8:588908. doi: 10.3389/fbioe.2020.588908. eCollection 2020. PMID: 33490046; PMCID: PMC7817819.
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Showing 1 to 12 of 24 entries