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Unsuspected Involvement of Spinal Cord in Alzheimer Disease.

Frontiers in cellular neuroscience

Lorenzi RM, Palesi F, Castellazzi G, Vitali P, Anzalone N, Bernini S, Cotta Ramusino M, Sinforiani E, Micieli G, Costa A, D'Angelo E, Gandini Wheeler-Kingshott CAM.
PMID: 32082122
Front Cell Neurosci. 2020 Jan 30;14:6. doi: 10.3389/fncel.2020.00006. eCollection 2020.

No abstract available.

Cite
Lorenzi RM, Palesi F, Castellazzi G, et al. Unsuspected Involvement of Spinal Cord in Alzheimer Disease. Front Cell Neurosci. 2020;14:6doi: 10.3389/fncel.2020.00006.
Lorenzi, R. M., Palesi, F., Castellazzi, G., Vitali, P., Anzalone, N., Bernini, S., Cotta Ramusino, M., Sinforiani, E., Micieli, G., Costa, A., D'Angelo, E., & Gandini Wheeler-Kingshott, C. A. M. (2020). Unsuspected Involvement of Spinal Cord in Alzheimer Disease. Frontiers in cellular neuroscience, 146. https://doi.org/10.3389/fncel.2020.00006
Lorenzi, Roberta Maria, et al. "Unsuspected Involvement of Spinal Cord in Alzheimer Disease." Frontiers in cellular neuroscience vol. 14 (2020): 6. doi: https://doi.org/10.3389/fncel.2020.00006
Lorenzi RM, Palesi F, Castellazzi G, Vitali P, Anzalone N, Bernini S, Cotta Ramusino M, Sinforiani E, Micieli G, Costa A, D'Angelo E, Gandini Wheeler-Kingshott CAM. Unsuspected Involvement of Spinal Cord in Alzheimer Disease. Front Cell Neurosci. 2020 Jan 30;14:6. doi: 10.3389/fncel.2020.00006. eCollection 2020. PMID: 32082122; PMCID: PMC7002560.
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The Importance of Cerebellar Connectivity on Simulated Brain Dynamics.

Frontiers in cellular neuroscience

Palesi F, Lorenzi RM, Casellato C, Ritter P, Jirsa V, Gandini Wheeler-Kingshott CAM, D'Angelo E.
PMID: 32848628
Front Cell Neurosci. 2020 Jul 31;14:240. doi: 10.3389/fncel.2020.00240. eCollection 2020.

The brain shows a complex multiscale organization that prevents a direct understanding of how structure, function and dynamics are correlated. To date, advances in neural modeling offer a unique opportunity for simulating global brain dynamics by embedding empirical data...

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Palesi F, Lorenzi RM, Casellato C, et al. The Importance of Cerebellar Connectivity on Simulated Brain Dynamics. Front Cell Neurosci. 2020;14:240doi: 10.3389/fncel.2020.00240.
Palesi, F., Lorenzi, R. M., Casellato, C., Ritter, P., Jirsa, V., Gandini Wheeler-Kingshott, C. A. M., & D'Angelo, E. (2020). The Importance of Cerebellar Connectivity on Simulated Brain Dynamics. Frontiers in cellular neuroscience, 14240. https://doi.org/10.3389/fncel.2020.00240
Palesi, Fulvia, et al. "The Importance of Cerebellar Connectivity on Simulated Brain Dynamics." Frontiers in cellular neuroscience vol. 14 (2020): 240. doi: https://doi.org/10.3389/fncel.2020.00240
Palesi F, Lorenzi RM, Casellato C, Ritter P, Jirsa V, Gandini Wheeler-Kingshott CAM, D'Angelo E. The Importance of Cerebellar Connectivity on Simulated Brain Dynamics. Front Cell Neurosci. 2020 Jul 31;14:240. doi: 10.3389/fncel.2020.00240. eCollection 2020. PMID: 32848628; PMCID: PMC7411185.
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Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique.

NeuroImage. Clinical

Tur C, Grussu F, De Angelis F, Prados F, Kanber B, Calvi A, Eshaghi A, Charalambous T, Cortese R, Chard DT, Chataway J, Thompson AJ, Ciccarelli O, Gandini Wheeler-Kingshott CAM.
PMID: 34875458
Neuroimage Clin. 2021 Dec 02;33:102904. doi: 10.1016/j.nicl.2021.102904. Epub 2021 Dec 02.

Predicting disability in progressive multiple sclerosis (MS) is extremely challenging. Although there is some evidence that the spatial distribution of white matter (WM) lesions may play a role in disability accumulation, the lack of well-established quantitative metrics that characterise...

Cite
Tur C, Grussu F, De Angelis F, et al. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. Neuroimage Clin. 2021;33:102904doi: 10.1016/j.nicl.2021.102904.
Tur, C., Grussu, F., De Angelis, F., Prados, F., Kanber, B., Calvi, A., Eshaghi, A., Charalambous, T., Cortese, R., Chard, D. T., Chataway, J., Thompson, A. J., Ciccarelli, O., & Gandini Wheeler-Kingshott, C. A. M. (2021). Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. NeuroImage. Clinical, 33102904. https://doi.org/10.1016/j.nicl.2021.102904
Tur, Carmen, et al. "Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique." NeuroImage. Clinical vol. 33 (2021): 102904. doi: https://doi.org/10.1016/j.nicl.2021.102904
Tur C, Grussu F, De Angelis F, Prados F, Kanber B, Calvi A, Eshaghi A, Charalambous T, Cortese R, Chard DT, Chataway J, Thompson AJ, Ciccarelli O, Gandini Wheeler-Kingshott CAM. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. Neuroimage Clin. 2021 Dec 02;33:102904. doi: 10.1016/j.nicl.2021.102904. Epub 2021 Dec 02. PMID: 34875458; PMCID: PMC8654632.
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Impact of the inversion time on regional brain perfusion estimation with clinical arterial spin labeling protocols.

Magma (New York, N.Y.)

Sanvito F, Palesi F, Rognone E, Barzaghi L, Pasca L, Germani G, De Giorgis V, Borgatti R, Gandini Wheeler-Kingshott CAM, Pichiecchio A.
PMID: 34643853
MAGMA. 2021 Oct 13; doi: 10.1007/s10334-021-00964-7. Epub 2021 Oct 13.

OBJECTIVE: Evaluating the impact of the Inversion Time (TI) on regional perfusion estimation in a pediatric cohort using Arterial Spin Labeling (ASL).MATERIALS AND METHODS: Pulsed ASL (PASL) was acquired at 3 T both at TI 1500 ms and 2020...

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Sanvito F, Palesi F, Rognone E, et al. Impact of the inversion time on regional brain perfusion estimation with clinical arterial spin labeling protocols. MAGMA. 2021;doi: 10.1007/s10334-021-00964-7.
Sanvito, F., Palesi, F., Rognone, E., Barzaghi, L., Pasca, L., Germani, G., De Giorgis, V., Borgatti, R., Gandini Wheeler-Kingshott, C. A. M., & Pichiecchio, A. (2021). Impact of the inversion time on regional brain perfusion estimation with clinical arterial spin labeling protocols. Magma (New York, N.Y.), . https://doi.org/10.1007/s10334-021-00964-7
Sanvito, Francesco, et al. "Impact of the inversion time on regional brain perfusion estimation with clinical arterial spin labeling protocols." Magma (New York, N.Y.) vol. (2021). doi: https://doi.org/10.1007/s10334-021-00964-7
Sanvito F, Palesi F, Rognone E, Barzaghi L, Pasca L, Germani G, De Giorgis V, Borgatti R, Gandini Wheeler-Kingshott CAM, Pichiecchio A. Impact of the inversion time on regional brain perfusion estimation with clinical arterial spin labeling protocols. MAGMA. 2021 Oct 13; doi: 10.1007/s10334-021-00964-7. Epub 2021 Oct 13. PMID: 34643853.
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Thalamocortical Connectivity in Experimentally-Induced Migraine Attacks: A Pilot Study.

Brain sciences

Martinelli D, Castellazzi G, De Icco R, Bacila A, Allena M, Faggioli A, Sances G, Pichiecchio A, Borsook D, Gandini Wheeler-Kingshott CAM, Tassorelli C.
PMID: 33514029
Brain Sci. 2021 Jan 27;11(2). doi: 10.3390/brainsci11020165.

In this study we used nitroglycerin (NTG)-induced migraine attacks as a translational human disease model. Static and dynamic functional connectivity (FC) analyses were applied to study the associated functional brain changes. A spontaneous migraine-like attack was induced in five...

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Martinelli D, Castellazzi G, De Icco R, et al. Thalamocortical Connectivity in Experimentally-Induced Migraine Attacks: A Pilot Study. Brain Sci. 2021;11(2)doi: 10.3390/brainsci11020165.
Martinelli, D., Castellazzi, G., De Icco, R., Bacila, A., Allena, M., Faggioli, A., Sances, G., Pichiecchio, A., Borsook, D., Gandini Wheeler-Kingshott, C. A. M., & Tassorelli, C. (2021). Thalamocortical Connectivity in Experimentally-Induced Migraine Attacks: A Pilot Study. Brain sciences, 11(2), . https://doi.org/10.3390/brainsci11020165
Martinelli, Daniele, et al. "Thalamocortical Connectivity in Experimentally-Induced Migraine Attacks: A Pilot Study." Brain sciences vol. 11,2 (2021). doi: https://doi.org/10.3390/brainsci11020165
Martinelli D, Castellazzi G, De Icco R, Bacila A, Allena M, Faggioli A, Sances G, Pichiecchio A, Borsook D, Gandini Wheeler-Kingshott CAM, Tassorelli C. Thalamocortical Connectivity in Experimentally-Induced Migraine Attacks: A Pilot Study. Brain Sci. 2021 Jan 27;11(2). doi: 10.3390/brainsci11020165. PMID: 33514029; PMCID: PMC7911420.
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Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers.

Scientific data

Cohen-Adad J, Alonso-Ortiz E, Abramovic M, Arneitz C, Atcheson N, Barlow L, Barry RL, Barth M, Battiston M, Büchel C, Budde M, Callot V, Combes AJE, De Leener B, Descoteaux M, de Sousa PL, Dostál M, Doyon J, Dvorak A, Eippert F, Epperson KR, Epperson KS, Freund P, Finsterbusch J, Foias A, Fratini M, Fukunaga I, Gandini Wheeler-Kingshott CAM, Germani G, Gilbert G, Giove F, Gros C, Grussu F, Hagiwara A, Henry PG, Horák T, Hori M, Joers J, Kamiya K, Karbasforoushan H, Keřkovský M, Khatibi A, Kim JW, Kinany N, Kitzler HH, Kolind S, Kong Y, Kudlička P, Kuntke P, Kurniawan ND, Kusmia S, Labounek R, Laganà MM, Laule C, Law CS, Lenglet C, Leutritz T, Liu Y, Llufriu S, Mackey S, Martinez-Heras E, Mattera L, Nestrasil I, O'Grady KP, Papinutto N, Papp D, Pareto D, Parrish TB, Pichiecchio A, Prados F, Rovira À, Ruitenberg MJ, Samson RS, Savini G, Seif M, Seifert AC, Smith AK, Smith SA, Smith ZA, Solana E, Suzuki Y, Tackley G, Tinnermann A, Valošek J, Van De Ville D, Yiannakas MC, Weber Ii KA, Weiskopf N, Wise RG, Wyss PO, Xu J.
PMID: 34508107
Sci Data. 2021 Sep 10;8(1):242. doi: 10.1038/s41597-021-01026-2.

No abstract available.

Cite
Cohen-Adad J, Alonso-Ortiz E, Abramovic M, et al. Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers. Sci Data. 2021;8(1):242doi: 10.1038/s41597-021-01026-2.
Cohen-Adad, J., Alonso-Ortiz, E., Abramovic, M., Arneitz, C., Atcheson, N., Barlow, L., Barry, R. L., Barth, M., Battiston, M., Büchel, C., Budde, M., Callot, V., Combes, A. J. E., De Leener, B., Descoteaux, M., de Sousa, P. L., Dostál, M., Doyon, J., Dvorak, A., Eippert, F., Epperson, K. R., Epperson, K. S., Freund, P., Finsterbusch, J., Foias, A., Fratini, M., Fukunaga, I., Gandini Wheeler-Kingshott, C. A. M., Germani, G., Gilbert, G., Giove, F., Gros, C., Grussu, F., Hagiwara, A., Henry, P. G., Horák, T., Hori, M., Joers, J., Kamiya, K., Karbasforoushan, H., Keřkovský, M., Khatibi, A., Kim, J. W., Kinany, N., Kitzler, H. H., Kolind, S., Kong, Y., Kudlička, P., Kuntke, P., Kurniawan, N. D., Kusmia, S., Labounek, R., Laganà, M. M., Laule, C., Law, C. S., Lenglet, C., Leutritz, T., Liu, Y., Llufriu, S., Mackey, S., Martinez-Heras, E., Mattera, L., Nestrasil, I., O'Grady, K. P., Papinutto, N., Papp, D., Pareto, D., Parrish, T. B., Pichiecchio, A., Prados, F., Rovira, �. �., Ruitenberg, M. J., Samson, R. S., Savini, G., Seif, M., Seifert, A. C., Smith, A. K., Smith, S. A., Smith, Z. A., Solana, E., Suzuki, Y., Tackley, G., Tinnermann, A., Valošek, J., Van De Ville, D., Yiannakas, M. C., Weber Ii, K. A., Weiskopf, N., Wise, R. G., Wyss, P. O., & Xu, J. (2021). Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers. Scientific data, 8(1), 242. https://doi.org/10.1038/s41597-021-01026-2
Cohen-Adad, Julien, et al. "Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers." Scientific data vol. 8,1 (2021): 242. doi: https://doi.org/10.1038/s41597-021-01026-2
Cohen-Adad J, Alonso-Ortiz E, Abramovic M, Arneitz C, Atcheson N, Barlow L, Barry RL, Barth M, Battiston M, Büchel C, Budde M, Callot V, Combes AJE, De Leener B, Descoteaux M, de Sousa PL, Dostál M, Doyon J, Dvorak A, Eippert F, Epperson KR, Epperson KS, Freund P, Finsterbusch J, Foias A, Fratini M, Fukunaga I, Gandini Wheeler-Kingshott CAM, Germani G, Gilbert G, Giove F, Gros C, Grussu F, Hagiwara A, Henry PG, Horák T, Hori M, Joers J, Kamiya K, Karbasforoushan H, Keřkovský M, Khatibi A, Kim JW, Kinany N, Kitzler HH, Kolind S, Kong Y, Kudlička P, Kuntke P, Kurniawan ND, Kusmia S, Labounek R, Laganà MM, Laule C, Law CS, Lenglet C, Leutritz T, Liu Y, Llufriu S, Mackey S, Martinez-Heras E, Mattera L, Nestrasil I, O'Grady KP, Papinutto N, Papp D, Pareto D, Parrish TB, Pichiecchio A, Prados F, Rovira À, Ruitenberg MJ, Samson RS, Savini G, Seif M, Seifert AC, Smith AK, Smith SA, Smith ZA, Solana E, Suzuki Y, Tackley G, Tinnermann A, Valošek J, Van De Ville D, Yiannakas MC, Weber Ii KA, Weiskopf N, Wise RG, Wyss PO, Xu J. Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers. Sci Data. 2021 Sep 10;8(1):242. doi: 10.1038/s41597-021-01026-2. PMID: 34508107; PMCID: PMC8433197.
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Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique.

NeuroImage. Clinical

Tur C, Grussu F, De Angelis F, Prados F, Kanber B, Calvi A, Eshaghi A, Charalambous T, Cortese R, Chard DT, Chataway J, Thompson AJ, Ciccarelli O, Gandini Wheeler-Kingshott CAM.
PMID: 34875458
Neuroimage Clin. 2021 Dec 02;33:102904. doi: 10.1016/j.nicl.2021.102904. Epub 2021 Dec 02.

Predicting disability in progressive multiple sclerosis (MS) is extremely challenging. Although there is some evidence that the spatial distribution of white matter (WM) lesions may play a role in disability accumulation, the lack of well-established quantitative metrics that characterise...

Cite
Tur C, Grussu F, De Angelis F, et al. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. Neuroimage Clin. 2021;33:102904doi: 10.1016/j.nicl.2021.102904.
Tur, C., Grussu, F., De Angelis, F., Prados, F., Kanber, B., Calvi, A., Eshaghi, A., Charalambous, T., Cortese, R., Chard, D. T., Chataway, J., Thompson, A. J., Ciccarelli, O., & Gandini Wheeler-Kingshott, C. A. M. (2021). Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. NeuroImage. Clinical, 33102904. https://doi.org/10.1016/j.nicl.2021.102904
Tur, Carmen, et al. "Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique." NeuroImage. Clinical vol. 33 (2021): 102904. doi: https://doi.org/10.1016/j.nicl.2021.102904
Tur C, Grussu F, De Angelis F, Prados F, Kanber B, Calvi A, Eshaghi A, Charalambous T, Cortese R, Chard DT, Chataway J, Thompson AJ, Ciccarelli O, Gandini Wheeler-Kingshott CAM. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. Neuroimage Clin. 2021 Dec 02;33:102904. doi: 10.1016/j.nicl.2021.102904. Epub 2021 Dec 02. PMID: 34875458.
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Pilot Study on Quantitative Cervical Cord and Muscular MRI in Spinal Muscular Atrophy: Promising Biomarkers of Disease Evolution and Treatment?.

Frontiers in neurology

Savini G, Asteggiano C, Paoletti M, Parravicini S, Pezzotti E, Solazzo F, Muzic SI, Santini F, Deligianni X, Gardani A, Germani G, Farina LM, Bergsland N, Gandini Wheeler-Kingshott CAM, Berardinelli A, Bastianello S, Pichiecchio A.
PMID: 33854470
Front Neurol. 2021 Mar 29;12:613834. doi: 10.3389/fneur.2021.613834. eCollection 2021.

No abstract available.

Cite
Savini G, Asteggiano C, Paoletti M, et al. Pilot Study on Quantitative Cervical Cord and Muscular MRI in Spinal Muscular Atrophy: Promising Biomarkers of Disease Evolution and Treatment?. Front Neurol. 2021;12:613834doi: 10.3389/fneur.2021.613834.
Savini, G., Asteggiano, C., Paoletti, M., Parravicini, S., Pezzotti, E., Solazzo, F., Muzic, S. I., Santini, F., Deligianni, X., Gardani, A., Germani, G., Farina, L. M., Bergsland, N., Gandini Wheeler-Kingshott, C. A. M., Berardinelli, A., Bastianello, S., & Pichiecchio, A. (2021). Pilot Study on Quantitative Cervical Cord and Muscular MRI in Spinal Muscular Atrophy: Promising Biomarkers of Disease Evolution and Treatment?. Frontiers in neurology, 12613834. https://doi.org/10.3389/fneur.2021.613834
Savini, Giovanni, et al. "Pilot Study on Quantitative Cervical Cord and Muscular MRI in Spinal Muscular Atrophy: Promising Biomarkers of Disease Evolution and Treatment?." Frontiers in neurology vol. 12 (2021): 613834. doi: https://doi.org/10.3389/fneur.2021.613834
Savini G, Asteggiano C, Paoletti M, Parravicini S, Pezzotti E, Solazzo F, Muzic SI, Santini F, Deligianni X, Gardani A, Germani G, Farina LM, Bergsland N, Gandini Wheeler-Kingshott CAM, Berardinelli A, Bastianello S, Pichiecchio A. Pilot Study on Quantitative Cervical Cord and Muscular MRI in Spinal Muscular Atrophy: Promising Biomarkers of Disease Evolution and Treatment?. Front Neurol. 2021 Mar 29;12:613834. doi: 10.3389/fneur.2021.613834. eCollection 2021. PMID: 33854470; PMCID: PMC8039452.
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Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique.

NeuroImage. Clinical

Tur C, Grussu F, De Angelis F, Prados F, Kanber B, Calvi A, Eshaghi A, Charalambous T, Cortese R, Chard DT, Chataway J, Thompson AJ, Ciccarelli O, Gandini Wheeler-Kingshott CAM.
PMID: 34875458
Neuroimage Clin. 2021 Dec 02;33:102904. doi: 10.1016/j.nicl.2021.102904. Epub 2021 Dec 02.

Predicting disability in progressive multiple sclerosis (MS) is extremely challenging. Although there is some evidence that the spatial distribution of white matter (WM) lesions may play a role in disability accumulation, the lack of well-established quantitative metrics that characterise...

Cite
Tur C, Grussu F, De Angelis F, et al. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. Neuroimage Clin. 2021;33:102904doi: 10.1016/j.nicl.2021.102904.
Tur, C., Grussu, F., De Angelis, F., Prados, F., Kanber, B., Calvi, A., Eshaghi, A., Charalambous, T., Cortese, R., Chard, D. T., Chataway, J., Thompson, A. J., Ciccarelli, O., & Gandini Wheeler-Kingshott, C. A. M. (2021). Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. NeuroImage. Clinical, 33102904. https://doi.org/10.1016/j.nicl.2021.102904
Tur, Carmen, et al. "Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique." NeuroImage. Clinical vol. 33 (2021): 102904. doi: https://doi.org/10.1016/j.nicl.2021.102904
Tur C, Grussu F, De Angelis F, Prados F, Kanber B, Calvi A, Eshaghi A, Charalambous T, Cortese R, Chard DT, Chataway J, Thompson AJ, Ciccarelli O, Gandini Wheeler-Kingshott CAM. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. Neuroimage Clin. 2021 Dec 02;33:102904. doi: 10.1016/j.nicl.2021.102904. Epub 2021 Dec 02. PMID: 34875458; PMCID: PMC8654632.
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Blood Oxygenation Level-Dependent Response to Multiple Grip Forces in Multiple Sclerosis: Going Beyond the Main Effect of Movement in Brodmann Area 4a and 4p.

Frontiers in cellular neuroscience

Alahmadi AAS, Pardini M, Samson RS, D'Angelo E, Friston KJ, Toosy AT, Gandini Wheeler-Kingshott CAM.
PMID: 33981201
Front Cell Neurosci. 2021 Apr 26;15:616028. doi: 10.3389/fncel.2021.616028. eCollection 2021.

This study highlights the importance of looking beyond the main effect of movement to study alterations in functional response in the presence of central nervous system pathologies such as multiple sclerosis (MS). Data show that MS selectively affects regional...

Cite
Alahmadi AAS, Pardini M, Samson RS, et al. Blood Oxygenation Level-Dependent Response to Multiple Grip Forces in Multiple Sclerosis: Going Beyond the Main Effect of Movement in Brodmann Area 4a and 4p. Front Cell Neurosci. 2021;15:616028doi: 10.3389/fncel.2021.616028.
Alahmadi, A. A. S., Pardini, M., Samson, R. S., D'Angelo, E., Friston, K. J., Toosy, A. T., & Gandini Wheeler-Kingshott, C. A. M. (2021). Blood Oxygenation Level-Dependent Response to Multiple Grip Forces in Multiple Sclerosis: Going Beyond the Main Effect of Movement in Brodmann Area 4a and 4p. Frontiers in cellular neuroscience, 15616028. https://doi.org/10.3389/fncel.2021.616028
Alahmadi, Adnan A S, et al. "Blood Oxygenation Level-Dependent Response to Multiple Grip Forces in Multiple Sclerosis: Going Beyond the Main Effect of Movement in Brodmann Area 4a and 4p." Frontiers in cellular neuroscience vol. 15 (2021): 616028. doi: https://doi.org/10.3389/fncel.2021.616028
Alahmadi AAS, Pardini M, Samson RS, D'Angelo E, Friston KJ, Toosy AT, Gandini Wheeler-Kingshott CAM. Blood Oxygenation Level-Dependent Response to Multiple Grip Forces in Multiple Sclerosis: Going Beyond the Main Effect of Movement in Brodmann Area 4a and 4p. Front Cell Neurosci. 2021 Apr 26;15:616028. doi: 10.3389/fncel.2021.616028. eCollection 2021. PMID: 33981201; PMCID: PMC8109244.
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Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique.

NeuroImage. Clinical

Tur C, Grussu F, De Angelis F, Prados F, Kanber B, Calvi A, Eshaghi A, Charalambous T, Cortese R, Chard DT, Chataway J, Thompson AJ, Ciccarelli O, Gandini Wheeler-Kingshott CAM.
PMID: 34875458
Neuroimage Clin. 2021 Dec 02;33:102904. doi: 10.1016/j.nicl.2021.102904. Epub 2021 Dec 02.

Predicting disability in progressive multiple sclerosis (MS) is extremely challenging. Although there is some evidence that the spatial distribution of white matter (WM) lesions may play a role in disability accumulation, the lack of well-established quantitative metrics that characterise...

Cite
Tur C, Grussu F, De Angelis F, et al. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. Neuroimage Clin. 2021;33:102904doi: 10.1016/j.nicl.2021.102904.
Tur, C., Grussu, F., De Angelis, F., Prados, F., Kanber, B., Calvi, A., Eshaghi, A., Charalambous, T., Cortese, R., Chard, D. T., Chataway, J., Thompson, A. J., Ciccarelli, O., & Gandini Wheeler-Kingshott, C. A. M. (2021). Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. NeuroImage. Clinical, 33102904. https://doi.org/10.1016/j.nicl.2021.102904
Tur, Carmen, et al. "Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique." NeuroImage. Clinical vol. 33 (2021): 102904. doi: https://doi.org/10.1016/j.nicl.2021.102904
Tur C, Grussu F, De Angelis F, Prados F, Kanber B, Calvi A, Eshaghi A, Charalambous T, Cortese R, Chard DT, Chataway J, Thompson AJ, Ciccarelli O, Gandini Wheeler-Kingshott CAM. Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique. Neuroimage Clin. 2021 Dec 02;33:102904. doi: 10.1016/j.nicl.2021.102904. Epub 2021 Dec 02. PMID: 34875458.
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Assessing Lumbar Plexus and Sciatic Nerve Damage in Relapsing-Remitting Multiple Sclerosis Using Magnetisation Transfer Ratio.

Frontiers in neurology

Boonsuth R, Samson RS, Tur C, Battiston M, Grussu F, Schneider T, Yoneyama M, Prados F, Ttofalla A, Collorone S, Cortese R, Ciccarelli O, Gandini Wheeler-Kingshott CAM, Yiannakas MC.
PMID: 34899579
Front Neurol. 2021 Nov 25;12:763143. doi: 10.3389/fneur.2021.763143. eCollection 2021.

No abstract available.

Cite
Boonsuth R, Samson RS, Tur C, et al. Assessing Lumbar Plexus and Sciatic Nerve Damage in Relapsing-Remitting Multiple Sclerosis Using Magnetisation Transfer Ratio. Front Neurol. 2021;12:763143doi: 10.3389/fneur.2021.763143.
Boonsuth, R., Samson, R. S., Tur, C., Battiston, M., Grussu, F., Schneider, T., Yoneyama, M., Prados, F., Ttofalla, A., Collorone, S., Cortese, R., Ciccarelli, O., Gandini Wheeler-Kingshott, C. A. M., & Yiannakas, M. C. (2021). Assessing Lumbar Plexus and Sciatic Nerve Damage in Relapsing-Remitting Multiple Sclerosis Using Magnetisation Transfer Ratio. Frontiers in neurology, 12763143. https://doi.org/10.3389/fneur.2021.763143
Boonsuth, Ratthaporn, et al. "Assessing Lumbar Plexus and Sciatic Nerve Damage in Relapsing-Remitting Multiple Sclerosis Using Magnetisation Transfer Ratio." Frontiers in neurology vol. 12 (2021): 763143. doi: https://doi.org/10.3389/fneur.2021.763143
Boonsuth R, Samson RS, Tur C, Battiston M, Grussu F, Schneider T, Yoneyama M, Prados F, Ttofalla A, Collorone S, Cortese R, Ciccarelli O, Gandini Wheeler-Kingshott CAM, Yiannakas MC. Assessing Lumbar Plexus and Sciatic Nerve Damage in Relapsing-Remitting Multiple Sclerosis Using Magnetisation Transfer Ratio. Front Neurol. 2021 Nov 25;12:763143. doi: 10.3389/fneur.2021.763143. eCollection 2021. PMID: 34899579; PMCID: PMC8654928.
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