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Motor reorganization after spinal cord injury: evidence of adaptive changes in remote muscles.

Restorative neurology and neuroscience

Laubis-Herrmann U, Dichgans J, Bilow H, Topka H.
PMID: 11490089
Restor Neurol Neurosci. 2000;17(4):175-181.

Purpose: Given that SCI leads to substantial changes in biomechanical properties of the body and to widespread postlesional reorganization of the motor system as determined by functional imaging studies, we sought to identify neurophysiological correlations and time course of...

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Laubis-Herrmann U, Dichgans J, Bilow H, et al. Motor reorganization after spinal cord injury: evidence of adaptive changes in remote muscles. Restor Neurol Neurosci. 2000;17(4):175-181
Laubis-Herrmann, U., Dichgans, J., Bilow, H., & Topka, H. (2000). Motor reorganization after spinal cord injury: evidence of adaptive changes in remote muscles. Restorative neurology and neuroscience, 17(4), 175-181.
Laubis-Herrmann, U., et al. "Motor reorganization after spinal cord injury: evidence of adaptive changes in remote muscles." Restorative neurology and neuroscience vol. 17,4 (2000): 175-181.
Laubis-Herrmann U, Dichgans J, Bilow H, Topka H. Motor reorganization after spinal cord injury: evidence of adaptive changes in remote muscles. Restor Neurol Neurosci. 2000;17(4):175-181. PMID: 11490089.
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Coregistration of EEG and fMRI in a simple motor task.

Human brain mapping

Gerloff C, Grodd W, Altenmüller E, Kolb R, Naegele T, Klose U, Voigt K, Dichgans J.
PMID: 20408198
Hum Brain Mapp. 1996;4(3):199-209. doi: 10.1002/(SICI)1097-0193(1996)4:3<199::AID-HBM4>3.0.CO;2-Z.

The purpose of this study was to evaluate the adequacy of coregistration of movement-related cortical potentials (MRCPs) and functional magnetic resonance imaging (fMRI) data in the primary sensorimotor cortex. Data were acquired in four normal subjects during right and...

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Gerloff C, Grodd W, Altenmüller E, et al. Coregistration of EEG and fMRI in a simple motor task. Hum Brain Mapp. 1996;4(3):199-209doi: 10.1002/(SICI)1097-0193(1996)4:3<199::AID-HBM4>3.0.CO;2-Z.
Gerloff, C., Grodd, W., Altenmüller, E., Kolb, R., Naegele, T., Klose, U., Voigt, K., & Dichgans, J. (1996). Coregistration of EEG and fMRI in a simple motor task. Human brain mapping, 4(3), 199-209. https://doi.org/10.1002/(SICI)1097-0193(1996)4:3<199::AID-HBM4>3.0.CO;2-Z
Gerloff, C, et al. "Coregistration of EEG and fMRI in a simple motor task." Human brain mapping vol. 4,3 (1996): 199-209. doi: https://doi.org/10.1002/(SICI)1097-0193(1996)4:3<199::AID-HBM4>3.0.CO;2-Z
Gerloff C, Grodd W, Altenmüller E, Kolb R, Naegele T, Klose U, Voigt K, Dichgans J. Coregistration of EEG and fMRI in a simple motor task. Hum Brain Mapp. 1996;4(3):199-209. doi: 10.1002/(SICI)1097-0193(1996)4:3<199::AID-HBM4>3.0.CO;2-Z. PMID: 20408198.
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Magnetization transfer ratio relates to cognitive impairment in normal elderly.

Frontiers in aging neuroscience

Seiler S, Pirpamer L, Hofer E, Duering M, Jouvent E, Fazekas F, Mangin JF, Chabriat H, Dichgans M, Ropele S, Schmidt R.
PMID: 25309438
Front Aging Neurosci. 2014 Sep 25;6:263. doi: 10.3389/fnagi.2014.00263. eCollection 2014.

Magnetization transfer imaging (MTI) can detect microstructural brain tissue changes and may be helpful in determining age-related cerebral damage. We investigated the association between the magnetization transfer ratio (MTR) in gray and white matter (WM) and cognitive functioning in...

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Seiler S, Pirpamer L, Hofer E, et al. Magnetization transfer ratio relates to cognitive impairment in normal elderly. Front Aging Neurosci. 2014;6:263doi: 10.3389/fnagi.2014.00263.
Seiler, S., Pirpamer, L., Hofer, E., Duering, M., Jouvent, E., Fazekas, F., Mangin, J. F., Chabriat, H., Dichgans, M., Ropele, S., & Schmidt, R. (2014). Magnetization transfer ratio relates to cognitive impairment in normal elderly. Frontiers in aging neuroscience, 6263. https://doi.org/10.3389/fnagi.2014.00263
Seiler, Stephan, et al. "Magnetization transfer ratio relates to cognitive impairment in normal elderly." Frontiers in aging neuroscience vol. 6 (2014): 263. doi: https://doi.org/10.3389/fnagi.2014.00263
Seiler S, Pirpamer L, Hofer E, Duering M, Jouvent E, Fazekas F, Mangin JF, Chabriat H, Dichgans M, Ropele S, Schmidt R. Magnetization transfer ratio relates to cognitive impairment in normal elderly. Front Aging Neurosci. 2014 Sep 25;6:263. doi: 10.3389/fnagi.2014.00263. eCollection 2014. PMID: 25309438; PMCID: PMC4174770.
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Fourth European stroke science workshop.

European stroke journal

Debette S, Strbian D, Wardlaw JM, van der Worp HB, Rinkel G, Caso V, Dichgans M.
PMID: 31009021
Eur Stroke J. 2018 Sep;3(3):206-219. doi: 10.1177/2396987318774443. Epub 2018 May 24.

Lake Eibsee, Garmisch-Partenkirchen, 16 to 18 November, 2017: The European Stroke Organisation convened >120 stroke experts from 21 countries to discuss latest results and hot topics in clinical, translational and basic stroke research. Since its inception in 2011, the...

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Debette S, Strbian D, Wardlaw JM, et al. Fourth European stroke science workshop. Eur Stroke J. 2018;3(3):206-219doi: 10.1177/2396987318774443.
Debette, S., Strbian, D., Wardlaw, J. M., van der Worp, H. B., Rinkel, G., Caso, V., Dichgans, M. (2018). Fourth European stroke science workshop. European stroke journal, 3(3), 206-219. https://doi.org/10.1177/2396987318774443
Debette, S, et al. "Fourth European stroke science workshop." European stroke journal vol. 3,3 (2018): 206-219. doi: https://doi.org/10.1177/2396987318774443
Debette S, Strbian D, Wardlaw JM, van der Worp HB, Rinkel G, Caso V, Dichgans M. Fourth European stroke science workshop. Eur Stroke J. 2018 Sep;3(3):206-219. doi: 10.1177/2396987318774443. Epub 2018 May 24. PMID: 31009021; PMCID: PMC6453207.
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Different Types of White Matter Hyperintensities in CADASIL.

Frontiers in neurology

Duchesnay E, Hadj Selem F, De Guio F, Dubois M, Mangin JF, Duering M, Ropele S, Schmidt R, Dichgans M, Chabriat H, Jouvent E.
PMID: 30042721
Front Neurol. 2018 Jul 10;9:526. doi: 10.3389/fneur.2018.00526. eCollection 2018.

No abstract available.

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Duchesnay E, Hadj Selem F, De Guio F, et al. Different Types of White Matter Hyperintensities in CADASIL. Front Neurol. 2018;9:526doi: 10.3389/fneur.2018.00526.
Duchesnay, E., Hadj Selem, F., De Guio, F., Dubois, M., Mangin, J. F., Duering, M., Ropele, S., Schmidt, R., Dichgans, M., Chabriat, H., & Jouvent, E. (2018). Different Types of White Matter Hyperintensities in CADASIL. Frontiers in neurology, 9526. https://doi.org/10.3389/fneur.2018.00526
Duchesnay, Edouard, et al. "Different Types of White Matter Hyperintensities in CADASIL." Frontiers in neurology vol. 9 (2018): 526. doi: https://doi.org/10.3389/fneur.2018.00526
Duchesnay E, Hadj Selem F, De Guio F, Dubois M, Mangin JF, Duering M, Ropele S, Schmidt R, Dichgans M, Chabriat H, Jouvent E. Different Types of White Matter Hyperintensities in CADASIL. Front Neurol. 2018 Jul 10;9:526. doi: 10.3389/fneur.2018.00526. eCollection 2018. PMID: 30042721; PMCID: PMC6048276.
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Prediction of dementia using diffusion tensor MRI measures: the OPTIMAL collaboration.

Journal of neurology, neurosurgery, and psychiatry

Egle M, Hilal S, Tuladhar AM, Pirpamer L, Hofer E, Duering M, Wason J, Morris RG, Dichgans M, Schmidt R, Tozer D, Chen C, de Leeuw FE, Markus HS.
PMID: 34509999
J Neurol Neurosurg Psychiatry. 2022 Jan;93(1):14-23. doi: 10.1136/jnnp-2021-326571. Epub 2021 Sep 11.

OBJECTIVES: It has been suggested that diffusion tensor imaging (DTI) measures sensitive to white matter (WM) damage may predict future dementia risk not only in cerebral small vessel disease (SVD), but also in mild cognitive impairment. To determine whether...

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Egle M, Hilal S, Tuladhar AM, et al. Prediction of dementia using diffusion tensor MRI measures: the OPTIMAL collaboration. J Neurol Neurosurg Psychiatry. 2021;93(1):14-23doi: 10.1136/jnnp-2021-326571.
Egle, M., Hilal, S., Tuladhar, A. M., Pirpamer, L., Hofer, E., Duering, M., Wason, J., Morris, R. G., Dichgans, M., Schmidt, R., Tozer, D., Chen, C., de Leeuw, F. E., & Markus, H. S. (2022). Prediction of dementia using diffusion tensor MRI measures: the OPTIMAL collaboration. Journal of neurology, neurosurgery, and psychiatry, 93(1), 14-23. https://doi.org/10.1136/jnnp-2021-326571
Egle, Marco, et al. "Prediction of dementia using diffusion tensor MRI measures: the OPTIMAL collaboration." Journal of neurology, neurosurgery, and psychiatry vol. 93,1 (2022): 14-23. doi: https://doi.org/10.1136/jnnp-2021-326571
Egle M, Hilal S, Tuladhar AM, Pirpamer L, Hofer E, Duering M, Wason J, Morris RG, Dichgans M, Schmidt R, Tozer D, Chen C, de Leeuw FE, Markus HS. Prediction of dementia using diffusion tensor MRI measures: the OPTIMAL collaboration. J Neurol Neurosurg Psychiatry. 2022 Jan;93(1):14-23. doi: 10.1136/jnnp-2021-326571. Epub 2021 Sep 11. PMID: 34509999.
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Midlife vascular risk factors and risk of incident dementia: Longitudinal cohort and Mendelian randomization analyses in the UK Biobank.

Alzheimer's & dementia : the journal of the Alzheimer's Association

Malik R, Georgakis MK, Neitzel J, Rannikmäe K, Ewers M, Seshadri S, Sudlow CLM, Dichgans M.
PMID: 33749976
Alzheimers Dement. 2021 Sep;17(9):1422-1431. doi: 10.1002/alz.12320. Epub 2021 Mar 22.

INTRODUCTION: Midlife clustering of vascular risk factors has been associated with late-life dementia, but causal effects of individual biological and lifestyle factors remain largely unknown.METHODS: Among 229,976 individuals (mean follow-up 9 years), we explored whether midlife cardiovascular health measured...

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Malik R, Georgakis MK, Neitzel J, et al. Midlife vascular risk factors and risk of incident dementia: Longitudinal cohort and Mendelian randomization analyses in the UK Biobank. Alzheimers Dement. 2021;17(9):1422-1431doi: 10.1002/alz.12320.
Malik, R., Georgakis, M. K., Neitzel, J., Rannikmäe, K., Ewers, M., Seshadri, S., Sudlow, C. L. M., & Dichgans, M. (2021). Midlife vascular risk factors and risk of incident dementia: Longitudinal cohort and Mendelian randomization analyses in the UK Biobank. Alzheimer's & dementia : the journal of the Alzheimer's Association, 17(9), 1422-1431. https://doi.org/10.1002/alz.12320
Malik, Rainer, et al. "Midlife vascular risk factors and risk of incident dementia: Longitudinal cohort and Mendelian randomization analyses in the UK Biobank." Alzheimer's & dementia : the journal of the Alzheimer's Association vol. 17,9 (2021): 1422-1431. doi: https://doi.org/10.1002/alz.12320
Malik R, Georgakis MK, Neitzel J, Rannikmäe K, Ewers M, Seshadri S, Sudlow CLM, Dichgans M. Midlife vascular risk factors and risk of incident dementia: Longitudinal cohort and Mendelian randomization analyses in the UK Biobank. Alzheimers Dement. 2021 Sep;17(9):1422-1431. doi: 10.1002/alz.12320. Epub 2021 Mar 22. PMID: 33749976.
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Stroke Genetics: Turning Discoveries into Clinical Applications.

Stroke

Dichgans M, Beaufort N, Debette S, Anderson CD.
PMID: 34399583
Stroke. 2021 Aug;52(9):2974-2982. doi: 10.1161/STROKEAHA.121.032616. Epub 2021 Aug 17.

The field of medical and population genetics in stroke is moving at a rapid pace and has led to unanticipated opportunities for discovery and clinical applications. Genome-wide association studies have highlighted the role of specific pathways relevant to etiologically...

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Dichgans M, Beaufort N, Debette S, et al. Stroke Genetics: Turning Discoveries into Clinical Applications. Stroke. 2021;52(9):2974-2982doi: 10.1161/STROKEAHA.121.032616.
Dichgans, M., Beaufort, N., Debette, S., & Anderson, C. D. (2021). Stroke Genetics: Turning Discoveries into Clinical Applications. Stroke, 52(9), 2974-2982. https://doi.org/10.1161/STROKEAHA.121.032616
Dichgans, Martin, et al. "Stroke Genetics: Turning Discoveries into Clinical Applications." Stroke vol. 52,9 (2021): 2974-2982. doi: https://doi.org/10.1161/STROKEAHA.121.032616
Dichgans M, Beaufort N, Debette S, Anderson CD. Stroke Genetics: Turning Discoveries into Clinical Applications. Stroke. 2021 Aug;52(9):2974-2982. doi: 10.1161/STROKEAHA.121.032616. Epub 2021 Aug 17. PMID: 34399583; PMCID: PMC8384143.
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Additive Effects of Genetic Interleukin-6 Signaling Downregulation and Low-Density Lipoprotein Cholesterol Lowering on Cardiovascular Disease: A 2×2 Factorial Mendelian Randomization Analysis.

Journal of the American Heart Association

Georgakis MK, Malik R, Burgess S, Dichgans M.
PMID: 34927447
J Am Heart Assoc. 2022 Jan 04;11(1):e023277. doi: 10.1161/JAHA.121.023277. Epub 2021 Dec 20.

Background Although trials suggest that anti-inflammatory approaches targeting interleukin (IL)-6 signaling can reduce cardiovascular risk, it remains unknown whether targeting IL-6 signaling could reduce risk additively to low-density lipoprotein cholesterol (LDL-C) lowering. Here, we assess interactions in associations of...

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Georgakis MK, Malik R, Burgess S, et al. Additive Effects of Genetic Interleukin-6 Signaling Downregulation and Low-Density Lipoprotein Cholesterol Lowering on Cardiovascular Disease: A 2×2 Factorial Mendelian Randomization Analysis. J Am Heart Assoc. 2021;11(1):e023277doi: 10.1161/JAHA.121.023277.
Georgakis, M. K., Malik, R., Burgess, S., & Dichgans, M. (2022). Additive Effects of Genetic Interleukin-6 Signaling Downregulation and Low-Density Lipoprotein Cholesterol Lowering on Cardiovascular Disease: A 2×2 Factorial Mendelian Randomization Analysis. Journal of the American Heart Association, 11(1), e023277. https://doi.org/10.1161/JAHA.121.023277
Georgakis, Marios K, et al. "Additive Effects of Genetic Interleukin-6 Signaling Downregulation and Low-Density Lipoprotein Cholesterol Lowering on Cardiovascular Disease: A 2×2 Factorial Mendelian Randomization Analysis." Journal of the American Heart Association vol. 11,1 (2022): e023277. doi: https://doi.org/10.1161/JAHA.121.023277
Georgakis MK, Malik R, Burgess S, Dichgans M. Additive Effects of Genetic Interleukin-6 Signaling Downregulation and Low-Density Lipoprotein Cholesterol Lowering on Cardiovascular Disease: A 2×2 Factorial Mendelian Randomization Analysis. J Am Heart Assoc. 2022 Jan 04;11(1):e023277. doi: 10.1161/JAHA.121.023277. Epub 2021 Dec 20. PMID: 34927447.
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Prioritizing the Role of Major Lipoproteins and Subfractions as Risk Factors for Peripheral Artery Disease.

Circulation

Levin MG, Zuber V, Walker VM, Klarin D, Lynch J, Malik R, Aday AW, Bottolo L, Pradhan AD, Dichgans M, Chang KM, Rader DJ, Tsao PS, Voight BF, Gill D, Burgess S, Damrauer SM.
PMID: 34139859
Circulation. 2021 Aug 03;144(5):353-364. doi: 10.1161/CIRCULATIONAHA.121.053797. Epub 2021 Jun 18.

BACKGROUND: Lipoprotein-related traits have been consistently identified as risk factors for atherosclerotic cardiovascular disease, largely on the basis of studies of coronary artery disease (CAD). The relative contributions of specific lipoproteins to the risk of peripheral artery disease (PAD)...

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Levin MG, Zuber V, Walker VM, et al. Prioritizing the Role of Major Lipoproteins and Subfractions as Risk Factors for Peripheral Artery Disease. Circulation. 2021;144(5):353-364doi: 10.1161/CIRCULATIONAHA.121.053797.
Levin, M. G., Zuber, V., Walker, V. M., Klarin, D., Lynch, J., Malik, R., Aday, A. W., Bottolo, L., Pradhan, A. D., Dichgans, M., Chang, K. M., Rader, D. J., Tsao, P. S., Voight, B. F., Gill, D., Burgess, S., & Damrauer, S. M. (2021). Prioritizing the Role of Major Lipoproteins and Subfractions as Risk Factors for Peripheral Artery Disease. Circulation, 144(5), 353-364. https://doi.org/10.1161/CIRCULATIONAHA.121.053797
Levin, Michael G, et al. "Prioritizing the Role of Major Lipoproteins and Subfractions as Risk Factors for Peripheral Artery Disease." Circulation vol. 144,5 (2021): 353-364. doi: https://doi.org/10.1161/CIRCULATIONAHA.121.053797
Levin MG, Zuber V, Walker VM, Klarin D, Lynch J, Malik R, Aday AW, Bottolo L, Pradhan AD, Dichgans M, Chang KM, Rader DJ, Tsao PS, Voight BF, Gill D, Burgess S, Damrauer SM. Prioritizing the Role of Major Lipoproteins and Subfractions as Risk Factors for Peripheral Artery Disease. Circulation. 2021 Aug 03;144(5):353-364. doi: 10.1161/CIRCULATIONAHA.121.053797. Epub 2021 Jun 18. PMID: 34139859; PMCID: PMC8323712.
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Cardiac Risk Factors for Stroke: A Comprehensive Mendelian Randomization Study.

Stroke

Frerich S, Malik R, Georgakis MK, Sinner MF, Kittner SJ, Mitchell BD, Dichgans M.
PMID: 34911345
Stroke. 2021 Dec 16;STROKEAHA121036306. doi: 10.1161/STROKEAHA.121.036306. Epub 2021 Dec 16.

BACKGROUND AND PURPOSE: Observational studies suggest an association of stroke with cardiac traits beyond atrial fibrillation, the leading source of cardioembolism. However, controversy remains regarding a causal role of these traits in stroke pathogenesis. Here, we leveraged genetic data...

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Frerich S, Malik R, Georgakis MK, et al. Cardiac Risk Factors for Stroke: A Comprehensive Mendelian Randomization Study. Stroke. 2021;STROKEAHA121036306doi: 10.1161/STROKEAHA.121.036306.
Frerich, S., Malik, R., Georgakis, M. K., Sinner, M. F., Kittner, S. J., Mitchell, B. D., & Dichgans, M. (2021). Cardiac Risk Factors for Stroke: A Comprehensive Mendelian Randomization Study. Stroke, STROKEAHA121036306. https://doi.org/10.1161/STROKEAHA.121.036306
Frerich, Simon, et al. "Cardiac Risk Factors for Stroke: A Comprehensive Mendelian Randomization Study." Stroke vol. (2021): STROKEAHA121036306. doi: https://doi.org/10.1161/STROKEAHA.121.036306
Frerich S, Malik R, Georgakis MK, Sinner MF, Kittner SJ, Mitchell BD, Dichgans M. Cardiac Risk Factors for Stroke: A Comprehensive Mendelian Randomization Study. Stroke. 2021 Dec 16;STROKEAHA121036306. doi: 10.1161/STROKEAHA.121.036306. Epub 2021 Dec 16. PMID: 34911345.
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Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies.

JAMA cardiology

Georgakis MK, de Lemos JA, Ayers C, Wang B, Björkbacka H, Pana TA, Thorand B, Sun C, Fani L, Malik R, Dupuis J, Engström G, Orho-Melander M, Melander O, Boekholdt SM, Zierer A, Elhadad MA, Koenig W, Herder C, Hoogeveen RC, Kavousi M, Ballantyne CM, Peters A, Myint PK, Nilsson J, Benjamin EJ, Dichgans M.
PMID: 33146689
JAMA Cardiol. 2021 May 01;6(5):587-592. doi: 10.1001/jamacardio.2020.5392.

IMPORTANCE: Human genetics and studies in experimental models support a key role of monocyte-chemoattractant protein-1 (MCP-1) in atherosclerosis. Yet, the associations of circulating MCP-1 levels with risk of coronary heart disease and cardiovascular death in the general population remain...

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Georgakis MK, de Lemos JA, Ayers C, et al. Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies. JAMA Cardiol. 2021;6(5):587-592doi: 10.1001/jamacardio.2020.5392.
Georgakis, M. K., de Lemos, J. A., Ayers, C., Wang, B., Björkbacka, H., Pana, T. A., Thorand, B., Sun, C., Fani, L., Malik, R., Dupuis, J., Engström, G., Orho-Melander, M., Melander, O., Boekholdt, S. M., Zierer, A., Elhadad, M. A., Koenig, W., Herder, C., Hoogeveen, R. C., Kavousi, M., Ballantyne, C. M., Peters, A., Myint, P. K., Nilsson, J., Benjamin, E. J., & Dichgans, M. (2021). Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies. JAMA cardiology, 6(5), 587-592. https://doi.org/10.1001/jamacardio.2020.5392
Georgakis, Marios K, et al. "Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies." JAMA cardiology vol. 6,5 (2021): 587-592. doi: https://doi.org/10.1001/jamacardio.2020.5392
Georgakis MK, de Lemos JA, Ayers C, Wang B, Björkbacka H, Pana TA, Thorand B, Sun C, Fani L, Malik R, Dupuis J, Engström G, Orho-Melander M, Melander O, Boekholdt SM, Zierer A, Elhadad MA, Koenig W, Herder C, Hoogeveen RC, Kavousi M, Ballantyne CM, Peters A, Myint PK, Nilsson J, Benjamin EJ, Dichgans M. Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies. JAMA Cardiol. 2021 May 01;6(5):587-592. doi: 10.1001/jamacardio.2020.5392. PMID: 33146689; PMCID: PMC8111478.
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