Atrophy and Intramuscular Fat in Specific Muscles of the Thigh: Associated Weakness and Hyperinsulinemia in Stroke Survivors
Open accessAbstract
PURPOSE: Sarcopenia and increased fat infiltration in muscle may play a role in the functional impairment and high risk for diabetes in stroke. Our purpose was to compare muscle volume and muscle attenuation across 6 muscles of the paretic and nonparetic thigh and examine the relationships between intramuscular fat and insulin resistance and between muscle volume and strength in stroke patients. METHODS: Stroke participants (70; 39 men, 31 women) aged 40 to 84 years, BMI = 16 to 45 kg/m(2) underwent multiple thigh CT scans, total body scan by DXA (dual-energy X-ray absorptiometry), peak oxygen intake (VO(2peak)) graded treadmill test, 6-minute walk, fasting blood draws, and isokinetic strength testing. RESULTS: Muscle volume is 24% lower and subcutaneous fat volume is 5% higher in the paretic versus nonparetic thigh. Muscle attenuation (index of amount of fat infiltration in muscle) is 17% higher in the nonparetic midthigh than the paretic. The semitendinosis/semimembranosis, biceps femoris, sartorius, vastus (medialis/lateralis), and rectus femoris have lower (between 9% and 19%) muscle areas on the paretic than the nonparetic thigh. Muscle attenuation is 15% to 25% higher on the nonparetic than the paretic side for 5 of 6 muscles. The nonparetic midthigh muscle attenuation is negatively associated with insulin. Eccentric peak torque of the nonparetic leg and paretic leg are associated with the corresponding muscle volume. CONCLUSIONS: The skeletal muscle atrophy, increased fat around and within muscle, and ensuing muscular weakness observed in chronic stroke patients relates to diabetes risk and may impair functional mobility and independence.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Women have greater myosteatosis than men, independent of differences in BMI or total body fat.
“Evidence shows that women have greater myosteatosis than men, independent of differences in body mass index (BMI) or total body fat (Goodpaster et al., 2001a; Hicks et al., 2005; Ryan et al., 2011; Anderson et al., 2013; Therkelsen et al., 2013; Xiao et al., 2018).”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Ryan et al., 2011
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Goodpaster, B. H., Leland Thaete, F., Simoneau, J.-A., & Kelley, D. E. (1997) · Diabetes · doi:10.2337/diacare.46.10.1579 · Cited by 1,012 · see citing works
Broderick, J., Brott, T., Kothari, R., Miller, R., Khoury, J., Pancioli, A., Gebel, J., Mills, D., Minneci, L., & Shukla, R. (1998) · Stroke · doi:10.1161/01.str.29.2.415 · Cited by 798 · see citing works
Folsom, A. R., Rasmussen, M. L., Chambless, L. E., Howard, G., Cooper, L. S., Schmidt, M. I., & HEISS, G. M. (1999) · Diabetes Care · doi:10.2337/diacare.22.7.1077 · Cited by 356 · see citing works
Determinants of Walking Function After Stroke: Differences by Deficit Severity
Patterson, S. L., Forrester, L. W., Rodgers, M. M., Ryan, A. S., Ivey, F. M., Sorkin, J. D., & Macko, R. F. (2007) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2006.10.025 · Cited by 356 · see citing works
Hemiparetic muscle atrophy and increased intramuscular fat in stroke patients
Ryan, A. S., Dobrovolny, C. L., Smith, G. V., Silver, K. H. C., & Macko, R. F. (2002) · Archives of Physical Medicine and Rehabilitation · doi:10.1053/apmr.2002.36399 · Cited by 325 · see citing works
Macko, R. F., DeSouza, C. A., Tretter, L. D., Silver, K. H. C., Smith, G. V., Anderson, P. A., Tomoyasu, N., Gorman, P. H., & Dengel, D. R. (1997) · Stroke · doi:10.1161/01.str.28.2.326 · Cited by 277 · see citing works
Skeletal muscle lipid accumulation in obesity, insulin resistance, and type 2 diabetes
Goodpaster, B. H., & Wolf, D. L. (2004) · Pediatric Diabetes · doi:10.1111/j.1399-543x.2004.00071.x · Cited by 206 · see citing works
Ryan, A. S., & Nicklas, B. (1999) · International Journal of Obesity · doi:10.1038/sj.ijo.0800777 · Cited by 199 · see citing works
Susceptibility and precipitating factors in depression: Sex differences and similarities.
Radloff, L. S., & Rae, D. S. (1979) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.88.2.174 · Cited by 178 · see citing works
Susceptibility and precipitating factors in depression: Sex differences and similarities.
Radloff, L. S., & Rae, D. S. (1979) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.88.2.174 · Cited by 145 · see citing works
Stuart, M. E., Benvenuti, F., Macko, R. F., Taviani, A., Segenni, L., Mayer, F., Sorkin, J. D., Stanhope, S. J., Macellari, V., & Weinrich, M. (2009) · Neurorehabilitation and neural repair · doi:10.1177/1545968309332734 · Cited by 139 · see citing works
Ryan, A. S., Ivey, F. M., Prior, S. J., Li, G., & Hafer‐Macko, C. E. (2010) · Stroke · doi:10.1161/strokeaha.110.602441 · Cited by 131 · see citing works
Role of Insulin Resistance Associated With Compensatory Hyperinsulinemia in Ischemic Stroke
Shinozaki, K., Naritomi, H., Shimizu, T., Suzuki, M., Ikebuchi, M., Sawada, T., & Harano, Y. (1996) · Stroke · doi:10.1161/01.str.27.1.37 · Cited by 113 · see citing works
Longitudinal Changes in Muscle Strength and Mass after Acute Stroke
Carin-Levy, G., Greig, C. A., Young, A., Lewis, S. J., Hannan, J., & Mead, G. E. (2006) · Cerebrovascular Diseases · doi:10.1159/000090792 · Cited by 107 · see citing works
Cardiovascular fitness after stroke: Role of muscle mass and gait deficit severity
Ryan, A. S., Dobrovolny, C. L., Silver, K. H. C., Smith, G. V., & Macko, R. F. (2000) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1053/jscd.2000.7237 · Cited by 105 · see citing works
Cooke, E. V., Tallis, R. C., Clark, A., & Pomeroy, V. M. (2009) · Neurorehabilitation and neural repair · doi:10.1177/1545968309343216 · Cited by 100 · see citing works
Pang, M. Y. C., Eng, J. J., McKay, H. A., & Dawson, A. S. (2005) · Osteoporosis International · doi:10.1007/s00198-005-1925-1 · Cited by 99 · see citing works
Aerobic Exercise Is Necessary to Improve Glucose Utilization with Moderate Weight Loss in Women
Ryan, A. S., Nicklas, B. J., & Berman, D. M. (2006) · Obesity · doi:10.1038/oby.2006.122 · Cited by 54 · see citing works
Type 2 diabetes mellitus and insulin resistance: Stroke prevention and management
Kernan, W. N., & Inzucchi, S. E. (2004) · Current Treatment Options in Neurology · doi:10.1007/s11940-004-0002-y · Cited by 44 · see citing works
Sotillo, C., López‐Jurado, M., Encarnación, M., Mataix, J., & Llopis, J. (2003) · International Journal for Vitamin and Nutrition Research · doi:10.1024/0300-9831.73.1.32 · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Intermuscular fat: a review of the consequences and causes
Addison, O., Marcus, R. L., LaStayo, P. C., & Ryan, A. S. (2014) · International Journal of Endocrinology · doi:10.1155/2014/309570 · Cited by 656 · see citing works
Self-citationCorrea-de-Araujo, R., Addison, O., Miljkovic, I., Goodpaster, B. H., Bergman, B. C., Clark, R. V., Elena, J. W., Esser, K. A., Ferrucci, L., Harris-Love, M. O., et al. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00963 · Cited by 468 · see citing works
Stroke induced Sarcopenia: muscle wasting and disability after stroke.
Scherbakov, N., von Haehling, S., Anker, S., Dirnagl, U., & Doehner, W. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2013.10.031 · Cited by 291 · see citing works
Correa‐de‐Araujo, R., Harris‐Love, M. O., Miljkovic, I., Fragala, M. S., Anthony, B., & Manini, T. M. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00087 · Cited by 267 · see citing works
Heterogeneity of adipose tissue in development and metabolic function
Schöttl, T., Kapser-Fischer, I., & Ussar, S. (2018) · Journal of Experimental Biology · doi:10.1242/jeb.162958 · Cited by 215 · see citing works
Stroke-Related Sarcopenia: Specific Characteristics
Scherbakov, N., Sandek, A., & Doehner, W. (2015) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2014.12.007 · Cited by 198 · see citing works
Akima, H., Hioki, M., Yoshiko, A., Koike, T., Sakakibara, H., Takahashi, H., & Oshida, Y. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2015.12.038 · Cited by 146 · see citing works
Skeletal muscle changes following stroke: a systematic review and comparison to healthy individuals
Hunnicutt, J. L., & Gregory, C. M. (2017) · Topics in Stroke Rehabilitation · doi:10.1080/10749357.2017.1292720 · Cited by 143 · see citing works
Computed Tomography-Derived Myosteatosis and Metabolic Disorders
Miljkovic, I., Vella, C. A., & Allison, M. (2021) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2020.0277 · Cited by 121 · see citing works
New understanding of the pathogenesis and treatment of stroke-related sarcopenia
Li, W., Yue, T., & Liu, Y. (2020) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2020.110721 · Cited by 120 · see citing works
Dunn, A., Marsden, D. L., Nugent, E. P., van Vliet, P., Spratt, N. J., Attia, J., & Callister, R. (2015) · Stroke Research and Treatment · doi:10.1155/2015/484813 · Cited by 116 · see citing works
Sarcopenia and Physical Function in Middle-Aged and Older Stroke Survivors
Ryan, A. S., Ivey, F. M., Serra, M. C., Hartstein, J., & Hafer‐Macko, C. E. (2016) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2016.07.015 · Cited by 115 · see citing works
Fernandez‐Gonzalo, R., Fernández‐Gonzalo, S., Turón, M., Prieto, C., Tesch, P. A., & García-Carreira, M. D. C. (2016) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-016-0144-7 · Cited by 94 · see citing works
Searching for the link between inflammaging and sarcopenia
Wang, T. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101611 · Cited by 88 · see citing works
Wei, C. H., Thyagiarajan, M., Hunt, L. P., Hamilton-Shield, J. P., Stevens, M. C. G., & Crowne, E. C. (2015) · Pediatric Blood & Cancer · doi:10.1002/pbc.25601 · Cited by 81 · see citing works
Akazawa, N., Harada, K., Okawa, N., Tamura, K., & Moriyama, H. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201789 · Cited by 80 · see citing works
Bone Remodeling and Energy Metabolism: New Perspectives
de Paula, F. J. A., & Rosen, C. J. (2013) · Bone Research · doi:10.4248/br201301005 · Cited by 79 · see citing works
Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers
Tortora, S., Tonin, L., Chisari, C., Micera, S., Menegatti, E., & Artoni, F. (2020) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2020.582728 · Cited by 74 · see citing works
Use of Accelerometers to Examine Sedentary Time on an Acute Stroke Unit
Mattlage, A. E., Redlin, S. A., Rippee, M. A., Abraham, M. G., Rymer, M. M., & Billinger, S. A. (2015) · Neurology Report · doi:10.1097/npt.0000000000000092 · Cited by 72 · see citing works
Irisawa, H., & Mizushima, T. (2020) · Nutrients · doi:10.3390/nu12071923 · Cited by 69 · see citing works
Skeletal muscle size is a major predictor of intramuscular fat content regardless of age
Akima, H., Yoshiko, A., Hioki, M., Kanehira, N., Shimaoka, K., Koike, T., Sakakibara, H., & Oshida, Y. (2015) · European Journal of Applied Physiology · doi:10.1007/s00421-015-3148-2 · Cited by 69 · see citing works
Akazawa, N., Harada, K., Okawa, N., Tamura, K., Hayase, A., & Moriyama, H. (2017) · Physiotherapy · doi:10.1016/j.physio.2017.08.009 · Cited by 68 · see citing works
Intramuscular Fat Infiltration Contributes to Impaired Muscle Function in COPD
Robles, P., Sussman, M. S., Naraghi, A., Brooks, D., Goldstein, R. S., White, L. M., & Mathur, S. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000556 · Cited by 67 · see citing works
Three-dimensional comparison of intramuscular fat content between young and old adults
Yoshiko, A., Hioki, M., Kanehira, N., Shimaoka, K., Koike, T., Sakakibara, H., Oshida, Y., & Akima, H. (2017) · BMC Medical Imaging · doi:10.1186/s12880-017-0185-9 · Cited by 66 · see citing works
Strength Training for Skeletal Muscle Endurance after Stroke
Ivey, F. M., Prior, S. J., Hafer‐Macko, C. E., Katzel, L. I., Macko, R. F., & Ryan, A. S. (2016) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2016.10.018 · Cited by 59 · see citing works
Calf circumference value for sarcopenia screening among older adults with stroke
Inoue, T., Maeda, K., Shimizu, A., Nagano, A., Ueshima, J., Sato, K., & Murotani, K. (2020) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2020.104290 · Cited by 56 · see citing works
Mas, M. F., González, J., & Frontera, W. R. (2020) · Current Physical Medicine and Rehabilitation Reports · doi:10.1007/s40141-020-00284-2 · Cited by 56 · see citing works
Karvonen-Gutierrez, C. A., Peng, M. Q., Peterson, M. D., Duchowny, K. A., Nan, B., & Harlow, S. D. (2018) · Age and Ageing · doi:10.1093/ageing/afy067 · Cited by 55 · see citing works
Addison, O., Inacio, M., Bair, W.-N., Beamer, B. A., Ryan, A. S., & Rogers, M. W. (2017) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2016.10.009 · Cited by 54 · see citing works
Wang, G., Zhu, L., Ma, M., Chen, X., Gao, Y., Yu, T., Yang, G.-S., & Pang, W.-J. (2015) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5b01680 · Cited by 54 · see citing works
Ryan, A. S., & Li, G. (2021) · JCSM Clinical Reports · doi:10.1002/crt2.43 · Cited by 50 · see citing works
Sarcopenia and cachexia: molecular mechanisms and therapeutic interventions
Wang, T., Zhou, D., & Hong, Z. (2025) · MedComm · doi:10.1002/mco2.70030 · Cited by 46 · see citing works
Carda, S., Cisari, C., & Invernizzi, M. (2013) · PubMed · Cited by 49 · see citing works
Verceles, A. C., Serra, M. C., Davis, D. L., Alon, G., Wells, C. L., Parker, E. A. D., Terrin, M. L., Sorkin, J., Bhatti, W., & Goldberg, A. P. (2021) · Heart & Lung · doi:10.1016/j.hrtlng.2022.11.013 · Cited by 48 · see citing works
Yoshiko, A., Yamauchi, K., Kato, T., Ishida, K., Koike, T., Oshida, Y., & Akima, H. (2018) · Skeletal Radiology · doi:10.1007/s00256-018-2985-6 · Cited by 48 · see citing works
Spatial Analysis of Multichannel Surface EMG in Hemiplegic Stroke
Rasool, G., Afsharipour, B., Suresh, N. L., & Rymer, W. Z. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2682298 · Cited by 46 · see citing works
Matsushita, T., Nishioka, S., Taguchi, S., Yamanouchi, A., Nakashima, R., & Wakabayashi, H. (2020) · Healthcare · doi:10.3390/healthcare8030255 · Cited by 43 · see citing works
Andrushko, J. W., Gould, L. A., & Farthing, J. P. (2018) · Applied Physiology Nutrition and Metabolism · doi:10.1139/apnm-2018-0073 · Cited by 43 · see citing works
Muscle Thickness and Echo Intensity of the Abdominal and Lower Extremity Muscles in Stroke Survivors
Monjo, H., Fukumoto, Y., Asai, T., & Shuntoh, H. (2018) · Journal of Clinical Neurology · doi:10.3988/jcn.2018.14.4.549 · Cited by 43 · see citing works
Berenpas, F., Martens, A.-M., Weerdesteyn, V., Geurts, A. C. H., & van Alfen, N. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.10.096 · Cited by 41 · see citing works
Zhang, L., Guo, Q., Feng, B., Wang, C., Han, P., Hu, J., Sun, X.-D., Zeng, W.-F., Zheng, Z., Li, H.-S., et al. (2018) · The journal of nutrition health & aging · doi:10.1007/s12603-018-1147-9 · Cited by 39 · see citing works
Morel, A., Ouamri, Y., Canouï‐Poitrine, F., Mulé, S., Champy, C. M., Ingels, A., Audard, V., Luciani, A., Grimbert, P., Matignon, M., et al. (2021) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12853 · Cited by 37 · see citing works
Skeletal muscle fiber characteristics and oxidative capacity in hemiparetic stroke survivors
Severinsen, K., Dalgas, U., Overgaard, K., Pedersen, A. R., Ørtenblad, N., Lund, C., Jakobsen, J., & Andersen, H. (2015) · Muscle & Nerve · doi:10.1002/mus.24907 · Cited by 36 · see citing works
Comparisons of ultrasound‐estimated intramuscular fat with fitness and health indicators
Young, H.-J., Southern, W. M., & McCully, K. (2016) · Muscle and Nerve · doi:10.1002/mus.25105 · Cited by 30 · see citing works
Coelho‐Júnior, H. J., Gambassi, B. B., Diniz, T. A., Fernandes, I. M. D. C., Caperuto, É. C., Uchida, M. C., Lira, F. S., & Rodrigues, B. (2016) · Mediators of Inflammation · doi:10.1155/2016/3957958 · Cited by 36 · see citing works
Akazawa, N., Kishi, M., Hino, T., Tsuji, R., Tamura, K., & Moriyama, H. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.08.029 · Cited by 35 · see citing works
Vastus medialis fat infiltration – a modifiable determinant of knee cartilage loss
Teichtahl, A. J., Wluka, A. E., Wang, Y., Wijethilake, P., Strauss, B. J., Proietto, J., Dixon, J. B., Jones, G., Forbes, A. B., & Cicuttini, F. (2015) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2015.06.016 · Cited by 34 · see citing works
Chang, K. C., Wu, W., Huang, K., & Han, D. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2019.08.024 · Cited by 34 · see citing works
Pathophysiological changes of muscle after ischemic stroke: a secondary consequence of stroke injury
Hu, Q., Tian, D., Luan, F., Yang, R., & Zeng, N. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.382221 · Cited by 33 · see citing works
Fernandez‐Gonzalo, R., Nissemark, C., Åslund, B., Tesch, P. A., & Sojka, P. A. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-150 · Cited by 32 · see citing works
Santago, A. C., Vidt, M. E., Tuohy, C. J., Poehling, G. G., Freehill, M. T., Jordan, J. H., Kraft, R., & Saul, K. R. (2015) · Annals of Biomedical Engineering · doi:10.1007/s10439-015-1488-z · Cited by 32 · see citing works
Irisawa, H., & Mizushima, T. (2022) · International Journal of Rehabilitation Research · doi:10.1097/mrr.0000000000000523 · Cited by 32 · see citing works
Toma, J., Hammond, B., Chan, V., Peacocke, A., Salehi, B., Jhingan, P., Brooks, D., Hébert, A.-A., & Marzolini, S. (2020) · CJC Open · doi:10.1016/j.cjco.2020.01.007 · Cited by 31 · see citing works
Honaga, K., Mori, N., Akimoto, T., Tsujikawa, M., Kawakami, M., Okamoto, T., Sakata, Y., Hamano, H., Takeda, Y., & Kondo, K. (2022) · Nutrients · doi:10.3390/nu14030685 · Cited by 30 · see citing works
Sex disparities of human neuromuscular decline in older humans
Guo, Y., Jones, E. J., Smart, T., Altheyab, A., Gamage, N. N., Stashuk, D. W., Piasecki, J., Phillips, B. E., Atherton, P. J., & Piasecki, M. (2024) · The Journal of Physiology · doi:10.1113/jp285653 · Cited by 29 · see citing works
Increased Energy Cost of Mobility in Chronic Stroke
Serra, M. C., & Treuth, M. S. (2016) · Journal of Gerontology & Geriatric Research · doi:10.4172/2167-7182.1000356 · Cited by 29 · see citing works
Zhao, C., Chen, X., Wu, W., Wang, W., Pang, W., & Yang, G. (2016) · Experimental Cell Research · doi:10.1016/j.yexcr.2016.02.019 · Cited by 28 · see citing works
Aging after stroke: how to define post-stroke sarcopenia and what are its risk factors?
Li, S., González-Buonomo, J., Ghuman, J., Huang, X., Malik, A., Yozbatıran, N., Magat, E., Francisco, G. E., Wu, H., & Frontera, W. R. (2022) · European Journal of Physical and Rehabilitation Medicine · doi:10.23736/s1973-9087.22.07514-1 · Cited by 28 · see citing works
Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings
Bhadane, M. Y., Liu, J., Rymer, W. Z., Zhou, P., & Li, S. (2016) · Scientific Reports · doi:10.1038/srep28957 · Cited by 26 · see citing works
Marzolini, S. (2018) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2018.06.017 · Cited by 26 · see citing works
Quadriceps muscle fat infiltration is associated with cardiometabolic risk in <scp>COPD</scp>
Vivodtzev, I., Moncharmont, L., Tamisier, R., Borel, J., Arbib, F., Wuyam, B., Lévy, P., Maltais, F., Ferretti, G., & Pépin, J. (2018) · Clinical Physiology and Functional Imaging · doi:10.1111/cpf.12481 · Cited by 25 · see citing works
Reference value of 6-minute walk distance in patients with sub-acute stroke
Kubo, H., Nozoe, M., Kanai, M., Furuichi, A., Ōnishi, A., Kajimoto, K., Mase, K., & Shimada, S. (2019) · Topics in Stroke Rehabilitation · doi:10.1080/10749357.2019.1704372 · Cited by 25 · see citing works
Low body mass index negatively affects muscle mass and intramuscular fat of chronic stroke survivors
Akazawa, N., Harada, K., Okawa, N., Tamura, K., & Moriyama, H. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211145 · Cited by 25 · see citing works
Convit, A. J., Wedin, W., & Diaz-Gimenez (2012) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s33478 · Cited by 24 · see citing works
Maeda, H., Imada, K., Ishida, K., & Akima, H. (2020) · European Neurology · doi:10.1159/000507548 · Cited by 24 · see citing works
Moore, S. A., Jakovljević, D. G., Ford, G. A., Rochester, L., & Trenell, M. I. (2016) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2015.12.018 · Cited by 23 · see citing works
Monjo, H., Fukumoto, Y., Asai, T., Kubo, H., Ohshima, K., Tajitsu, H., & Koyama, S. (2020) · Physical Therapy Research · doi:10.1298/ptr.e10018 · Cited by 22 · see citing works
Lee, S. H., Choi, H., Kim, K.-Y., Lee, H.-S., & Jung, J. (2023) · Clinical Interventions in Aging · doi:10.2147/cia.s402548 · Cited by 22 · see citing works
Metabolomics of Aerobic Exercise in Chronic Stroke Survivors: A Pilot Study
Serra, M. C., Accardi, C. J., Ma, C., Park, Y., Tran, V. T., Jones, D. P., Hafer‐Macko, C. E., & Ryan, A. S. (2019) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2019.104453 · Cited by 21 · see citing works
Akazawa, N., Harada, K., Okawa, N., Kishi, M., Tamura, K., & Moriyama, H. (2020) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2020.105543 · Cited by 21 · see citing works
The Effect of Branched Chain Amino Acid Supplementation on Stroke-Related Sarcopenia
Park, M. K., Lee, S. J., Choi, E., Lee, S., & Lee, J. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.744945 · Cited by 20 · see citing works
Sarcopenia Affects Functional Independence Measure motor Scores in Elderly Patients with Stroke
Kameyama, Y., Ashizawa, R., Honda, H., Take, K., Yoshizawa, K., & Yoshimoto, Y. (2022) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2022.106615 · Cited by 20 · see citing works
Monjo, H., Fukumoto, Y., Asai, T., Ohshima, K., Kubo, H., Tajitsu, H., & Koyama, S. (2022) · Journal of Clinical Neurology · doi:10.3988/jcn.2022.18.3.308 · Cited by 19 · see citing works
Güngör, L., Arsava, E. M., Güler, A., Işıkay, C. T., Aykaç, Ö., Çağlayan, H. Z. B., Kozak, H. H., Aydıngöz, Ü., Topçuoğlu, M. A., Akpinar, E., et al. (2023) · Clinical Nutrition · doi:10.1016/j.clnu.2023.01.017 · Cited by 19 · see citing works
Fat as a Friend or Foe of the Bone
Gruneisen, E., Kremer, R. B., & Duque, G. (2024) · Current Osteoporosis Reports · doi:10.1007/s11914-024-00864-4 · Cited by 20 · see citing works
Maguire, C. C., Sieben, J. M., & de Bie, R. A. (2018) · Physiotherapy Theory and Practice · doi:10.1080/09593985.2018.1434579 · Cited by 18 · see citing works
Balch, M. H. H., Harris, H. N., Chugh, D., Gnyawali, S. C., Rink, C. L., Nimjee, S. M., & Arnold, W. D. (2021) · Experimental Neurology · doi:10.1016/j.expneurol.2021.113767 · Cited by 17 · see citing works
Mohammed, M. A., & Li, J. (2022) · Healthcare · doi:10.3390/healthcare10112336 · Cited by 18 · see citing works
Berenpas, F., Weerdesteyn, V., Geurts, A. C. H., & van Alfen, N. (2019) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-019-0556-2 · Cited by 17 · see citing works
Reduced Resting Metabolic Rate in Adults with Hemiparetic Chronic Stroke
Serra, M. C., & Hafer‐Macko, C. E. (2015) · Journal of Neurology & Neurophysiology · doi:10.4172/2155-9562.1000341 · Cited by 16 · see citing works
Maeda, H., Imada, K., Ishida, K., & Akima, H. (2019) · European Neurology · doi:10.1159/000500415 · Cited by 16 · see citing works
Ultrasound Evaluation of the Rectus Femoris for Sarcopenia in Patients with Early Subacute Stroke
Choi, Y., Im, S., & Park, G. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10143010 · Cited by 15 · see citing works
Ishimoto, T., Taniguchi, Y., & Akazawa, N. (2020) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2020.105287 · Cited by 15 · see citing works
Nozoe, M., Kanai, M., Kubo, H., Yamamoto, M., Shimada, S., & Mase, K. (2020) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2020.02.020 · Cited by 14 · see citing works
Intramuscular adipose tissue: from progenitor to pathology
Jones, H. G., Kopinke, D., & Meyer, G. A. (2025) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00613.2025 · Cited by 13 · see citing works
Bang, E., Tanabe, K., Yokoyama, N., Chijiki, S., & Kuno, S. (2016) · Experimental Gerontology · doi:10.1016/j.exger.2016.03.010 · Cited by 13 · see citing works
Papadatou, M.-C. (2020) · Journal of Frailty Sarcopenia and Falls · doi:10.22540/jfsf-05-038 · Cited by 12 · see citing works
Holm, P. M., Blankholm, A. D., Nielsen, J. L., Bandholm, T., Wirth, W., Wisser, A., Kemnitz, J., Eckstein, F., Schrøder, H. M., Wernbom, M., et al. (2024) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2024.152390 · Cited by 11 · see citing works
Tuntevski, K., Hajira, A., Nichols, A., Alway, S. E., & Mohamed, J. S. (2020) · FASEB BioAdvances · doi:10.1096/fba.2020-00017 · Cited by 11 · see citing works
Lanza, M. B., Addison, O. R., Ryan, A. S., Perez, W. J., & Gray, V. L. (2020) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2020.102484 · Cited by 11 · see citing works
Bang, E., Tanabe, K., Yokoyama, N., Chijiki, S., Tsuruzono, T., & Kuno, S. (2018) · European Journal of Applied Physiology · doi:10.1007/s00421-018-3812-4 · Cited by 11 · see citing works
Bhandari, R., Teh, J. B., He, T., Peng, K., Iukuridze, A., Atencio, L., Nakamura, R., Mostoufi‐Moab, S., McCormack, S. E., Lee, K., et al. (2022) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-21-1449 · Cited by 10 · see citing works
Vieira, T., Lemos, T., de Oliveira, L. A. S., Horsczaruk, C. H. R., de Freitas, G. R., Tovar-Moll, F. F., & Rodrigues, É. C. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00686 · Cited by 10 · see citing works
Development of AD-Like Pathology in Skeletal Muscle
Chen, X., Miller, N. M., Afghah, Z., & Geiger, J. D. (2019) · Journal of Parkinson’s Disease and Alzheimer’s Disease · doi:10.13188/2376-922x.1000028 · Cited by 10 · see citing works
Muscular Atrophy in Cardiovascular Disease
Sisto, I. R., Hauck, M., & Plentz, R. D. M. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-1435-3_17 · Cited by 9 · see citing works
Intramuscular Fat in the Medial Gastrocnemius Muscle of People Who Have Had a Stroke
D’Souza, A., Bolsterlee, B., & Herbert, R. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00613 · Cited by 9 · see citing works
Lee, D. (2024) · Sports · doi:10.3390/sports12070187 · Cited by 8 · see citing works
Przysada, G., Czenczek‐Lewandowska, E., Wyszyńska, J., Weres, A., Baran, J., Kwołek, A., & Leszczak, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17145134 · Cited by 8 · see citing works
Pérez-Sousa, M. Á., del Pozo-Cruz, J., Cano, C. A., Ferrebuz, A., Sandoval-Cuéllar, C., Izquierdo, M., Hernández-Quiñónez, P. A., & Ramírez‐Vélez, R. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9082323 · Cited by 8 · see citing works
Hioki, M., Takahashi, H., Saito, A., Imai, M., & Yasuda, H. (2022) · European Journal of Applied Physiology · doi:10.1007/s00421-022-05074-3 · Cited by 8 · see citing works
- Authors
- Ryan, A. S., Buscemi, A., Forrester, L., Hafer-Macko, C. E., & Ivey, F. M.
- Affiliations
- University of Maryland, Baltimore (US)
- Baltimore VA Medical Center, University of Maryland School of Medicine, Baltimore, MD, USA
- ORCID
- Ryan, Alice S.
- Venue
- Neurorehabilitation and neural repair
- Publisher
- SAGE Publications
- Published
- 2011-07-06
- Volume
- 25
- Issue
- 9
- Pages
- 865-872
- ISSN
- 0888-4390 (ISSN-L)
- 1545-9683
- 1552-6844
- PMC
- PMC3546168
- OpenAlex
- W2023729390
- Cited by
- 154
- References
- 20
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 13 · 2023: 6 · 2022: 17 · 2021: 10 · 2020: 24 · 2019: 9 · 2018: 11 · 2017: 8 · 2016: 15 · 2015: 11 · 2014: 3 · 2013: 3 · 2012: 1
- FWCI
- 1.53
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurorehabilitation and neural repair (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (K01AG019242, R29-AG14487, R29AG014487, R01AG19310, R01AG019310, KO1-AG019242, P60AG012583, P60 AG12583, P30AG028747, R01AG030075)
- Topics
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- stroke, sarcopenia, muscle atrophy, intramuscular fat, fatty infiltration, thigh muscle, paretic limb, muscle volume, muscle attenuation, insulin resistance, muscle strength, isokinetic strength, diabetes risk, functional mobility
- MeSH terms
- Adipose Tissue, Adult, Aged, Aged, 80 and over, Female, Humans, Hyperinsulinism, Male, Middle Aged, Muscular Atrophy, Paresis, Radiography, Survivors, Muscle Weakness, Stroke
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
