Search for approaches to transcranial neuromodulation in patients with post-stroke hemiparesis in real clinical practice

Ya. Yu. Zakharov , A. A. Belkin , V. A. Shirokov , D. G. Pozdnyakov

Physical and rehabilitation medicine, medical rehabilitation ›› 2024, Vol. 6 ›› Issue (2) : 88 -97.

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Physical and rehabilitation medicine, medical rehabilitation ›› 2024, Vol. 6 ›› Issue (2) :88 -97. DOI: 10.36425/rehab627445
ORIGINAL STUDY ARTICLE
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Search for approaches to transcranial neuromodulation in patients with post-stroke hemiparesis in real clinical practice

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Abstract

BACKGROUND: To increase the efficiency of motor recovery after a stroke in routine clinical practice, the search for selective biomarkers that determine the choice of the optimal strategy for noninvasive neuromodulation of the brain remains relevant. The study of interhemispheric interaction patterns can hypothetically help in determining the correct conceptual model of neuromodulation. AIM: To determine variants of interhemispheric interaction based on a correlation analysis of motor cortex excitability in patients with poststroke hemiparesis stratified by the degree of motor deficit. MATERIALS AND METHODS: This retrospective observational study involved 185 people (men, 56.2%; women, 43.8%) aged 19–88 years with verified poststroke hemiparesis and 40 healthy volunteers (men, 55.0%; women, 45.0%) aged 20–85 years. The patients underwent diagnostic transcranial magnetic stimulation in the projection of the cortical representation of m. abductor pollicis brevis and m. tibialis anterior of both brain hemispheres. The excitability level of the motor cortex and its interhemispheric asymmetry were recorded, and correlation analysis in subgroups stratified by the degree of paresis was performed. RESULTS: No interhemispheric correlation of resting motor thresholds (rMT) was found in patients with a level of muscle strength for the “hand” segment of 0–2 points (р >0.05). In the remaining subgroups, positive interhemispheric correlations of the rMT were noted (p <0.02). A positive correlation of the rMT of the damaged brain hemisphere and interhemispheric asymmetry of the motor cortex excitability for all degrees of paresis was observed when evaluating the cortical representation of the upper limb muscles. A negative correlation between the rMT of the unaffected brain hemisphere and interhemispheric asymmetry was detected for all degrees of motor deficit of the “foot” segment (p <0.02). CONCLUSION: The study did not confirm the concept of interhemispheric competition of the studied functional activity of the brain. Three authentic variants of interhemispheric interaction were identified: unidirectional hemispheric interaction with predominant reactivity of the affected hemisphere, unidirectional hemispheric interaction with predominant reactivity of the unaffected hemisphere, and functional interhemispheric dissociation. The results indicate the need to rethink some approaches to transcranial neuromodulation strategies in the analyzed cohort.

Keywords

stroke rehabilitation / cortical excitability / biomarkers / transcranial magnetic stimulation

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Ya. Yu. Zakharov, A. A. Belkin, V. A. Shirokov, D. G. Pozdnyakov. Search for approaches to transcranial neuromodulation in patients with post-stroke hemiparesis in real clinical practice. Physical and rehabilitation medicine, medical rehabilitation, 2024, 6(2): 88-97 DOI:10.36425/rehab627445

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References

[1]

Lefaucheur JP, Aleman A, Baeken C, et al. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014–2018). Clin Neurophysiol. 2020;131(2):474–528. doi: 10.1016/j.clinph.2019.11.002

[2]

Lefaucheur J.P., Aleman A., Baeken C., et al. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014–2018) // Clin Neurophysiol. 2020. Vol. 131, N 2. Р. 474–528. doi: 10.1016/j.clinph.2019.11.002

[3]

Fregni F, El-Hagrassy MM, Pacheco-Barrios K, et al. Evidence-based guidelines and secondary meta-analysis for the use of transcranial direct current stimulation in neurological and psychiatric disorders. Int J Neuropsychopharmacol. 2021;24(4):256–313. EDN: OHXDZX doi: 10.1093/ijnp/pyaa051

[4]

Fregni F., El-Hagrassy M.M., Pacheco-Barrios K., et al. Evidence-based guidelines and secondary meta-analysis for the use of transcranial direct current stimulation in neurological and psychiatric disorders // Int J Neuropsychopharmacol. 2021. Vol. 24, N 4. Р. 256–313. EDN: OHXDZX doi: 10.1093/ijnp/pyaa051

[5]

Guo Z, Jin Y, Bai X, et al. Distinction of high- and low-frequency repetitive transcranial magnetic stimulation on the functional reorganization of the motor network in stroke patients. Neural Plast. 2021;2021:8873221. doi: 10.1155/2021/8873221

[6]

Guo Z., Jin Y., Bai X., et al. Distinction of high- and low-frequency repetitive transcranial magnetic stimulation on the functional reorganization of the motor network in stroke patients // Neural Plast. 2021. Vol. 2021. Р. 8873221. doi: 10.1155/2021/8873221

[7]

Di Pino G, Pellegrino G, Assenza G, et al. Modulation of brain plasticity in stroke: A novel model for neurorehabilitation. Nat Rev Neurol. 2014;10(10):597–608. doi: 10.1038/nrneurol.2014.162

[8]

Di Pino G., Pellegrino G., Assenza G., et al. Modulation of brain plasticity in stroke: A novel model for neurorehabilitation // Nat Rev Neurol. 2014. Vol. 10, N 10. Р. 597–608. doi: 10.1038/nrneurol.2014.162

[9]

Lin YL, Potter-Baker KA, Cunningham DA, et al. Stratifying chronic stroke patients based on the influence of contralesional motor cortices: An inter-hemispheric inhibition study. Clin Neurophysiol. 2020;131(10):2516–2525. doi: 10.1016/j.clinph.2020.06.016

[10]

Lin Y.L., Potter-Baker K.A., Cunningham D.A., et al. Stratifying chronic stroke patients based on the influence of contralesional motor cortices: An inter-hemispheric inhibition study // Clin Neurophysiol. 2020. Vol. 131, N 10. Р. 2516–2525. doi: 10.1016/j.clinph.2020.06.016

[11]

Hummel FC, Cohen LG. Non-invasive brain stimulation: A new strategy to improve neurorehabilitation after stroke? Lancet Neurol. 2006;5(8):708–712. doi: 10.1016/S1474-4422(06)70525-7

[12]

Hummel F.C., Cohen L.G. Non-invasive brain stimulation: A new strategy to improve neurorehabilitation after stroke? // Lancet Neurol. 2006. Vol. 5, N 8. Р. 708–712. doi: 10.1016/S1474-4422(06)70525-7

[13]

Grefkes C, Fink GR. Reorganization of cerebral networks after stroke: New insights from neuroimaging with connectivity approaches. Brain. 2011;134(Pt 5):1264–1276. EDN: OLUBSZ doi: 10.1093/brain/awr033

[14]

Grefkes C., Fink G.R. Reorganization of cerebral networks after stroke: New insights from neuroimaging with connectivity approaches // Brain. 2011. Vol. 134, Pt. 5. Р. 1264–1276. EDN: OLUBSZ doi: 10.1093/brain/awr033

[15]

Sebastianelli L, Versace V, Martignago S, et al. Low-frequency rTMS of the unaffected hemisphere in stroke patients: A systematic review. Acta Neurol Scand. 2017;136(6):585–605. doi: 10.1111/ane.12773

[16]

Sebastianelli L., Versace V., Martignago S., et al. Low-frequency rTMS of the unaffected hemisphere in stroke patients: A systematic review // Acta Neurol Scand. 2017. Vol. 136, N 6. Р. 585–605. doi: 10.1111/ane.12773

[17]

Harvey RL, Edwards D, Dunning K, et al. Randomized sham-controlled trial of navigated repetitive transcranial magnetic stimulation for motor recovery in stroke. Stroke. 2018;49(9): 2138–2146. doi: 10.1161/STROKEAHA.117.020607

[18]

Harvey R.L., Edwards D., Dunning K., et al. Randomized sham-controlled trial of navigated repetitive transcranial magnetic stimulation for motor recovery in stroke // Stroke. 2018. Vol. 49, N 9. Р. 2138–2146. doi: 10.1161/STROKEAHA.117.020607

[19]

Dodd KC, Nair VA, Prabhakaran V. Role of the contralesional vs. ipsilesional hemisphere in stroke recovery. Front Hum Neurosci. 2017;(11):469. doi: 10.3389/fnhum.2017.00469

[20]

Dodd K.C., Nair V.A., Prabhakaran V. Role of the contralesional vs. ipsilesional hemisphere in stroke recovery // Front Hum Neurosci. 2017. N 11. Р. 469. doi: 10.3389/fnhum.2017.00469

[21]

Jaillard A, Martin CD, Garambois K, et al. Vicarious function within the human primary motor cortex? A longitudinal fMRI stroke study. Brain. 2005;128(Pt 5):1122–1138. EDN: ILYNKX doi: 10.1093/brain/awh456

[22]

Jaillard A., Martin C.D., Garambois K., et al. Vicarious function within the human primary motor cortex? A longitudinal fMRI stroke study // Brain. 2005. Vol. 128, Pt. 5. Р. 1122–1138. EDN: ILYNKX doi: 10.1093/brain/awh456

[23]

McCambridge AB, Stinear JW, Byblow WD. Revisiting interhemispheric imbalance in chronic stroke: A tDCS study. Clin Neurophysiol. 2018;129(1):42–50. doi: 10.1016/j.clinph.2017.10.016

[24]

McCambridge A.B., Stinear J.W., Byblow W.D. Revisiting interhemispheric imbalance in chronic stroke: A tDCS study // Clin Neurophysiol. 2018. Vol. 129, N 1. Р. 42–50. doi: 10.1016/j.clinph.2017.10.016

[25]

Sankarasubramanian V, Machado AG, Conforto AB, et al. Inhibition versus facilitation of contralesional motor cortices in stroke: Deriving a model to tailor brain stimulation. Clin Neurophysiol. 2017;128(6):892–902. doi: 10.1016/j.clinph.2017.03.030

[26]

Sankarasubramanian V., Machado A.G., Conforto A.B., et al. Inhibition versus facilitation of contralesional motor cortices in stroke: Deriving a model to tailor brain stimulation // Clin Neurophysiol. 2017. Vol. 128, N 6. Р. 892–902. doi: 10.1016/j.clinph.2017.03.030

[27]

Oldfield RC. The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia. 1971;9(1):97–113. doi: 10.1016/0028-3932(71)90067-4

[28]

Oldfield R.C. The assessment and analysis of handedness: The Edinburgh inventory // Neuropsychologia. 1971. Vol. 9, N 1. Р. 97–113. doi: 10.1016/0028-3932(71)90067-4

[29]

Veldema J, Nowak DA, Gharabaghi A. Resting motor threshold in the course of hand motor recovery after stroke: A systematic review. J Neur Rehab. 2021;18(1):158. EDN: MFWRSJ doi: 10.1186/s12984-021-00947-8

[30]

Veldema J., Nowak D.A., Gharabaghi A. Resting motor threshold in the course of hand motor recovery after stroke: A systematic review // J Neur Rehab. 2021. Vol. 18, N 1. Р. 158. EDN: MFWRSJ doi: 10.1186/s12984-021-00947-8

[31]

Rossini PM, Di Iorio R, Bentivoglio M, et al. Methods for analysis of brain connectivity: An IFCN-sponsored review. Clin Neurophysiol. 2019;130(10):1833–1858. doi: 10.1016/j.clinph.2019.06.006

[32]

Rossini P.M., Di Iorio R., Bentivoglio M., et al. Methods for analysis of brain connectivity: An IFCN-sponsored review // Clin Neurophysiol. 2019. Vol. 130, N 10. Р. 1833–1858. doi: 10.1016/j.clinph.2019.06.006

[33]

Rosso C, Lamy JC. Does resting motor threshold predict motor hand recovery after stroke? Front Neurol. 2018;(9):1020. doi: 10.3389/fneur.2018.01020

[34]

Rosso C., Lamy J.C. Does resting motor threshold predict motor hand recovery after stroke? // Front Neurol. 2018. N 9. Р. 1020. doi: 10.3389/fneur.2018.01020

[35]

Luft AR, Forrester L, Macko RF, et al. Brain activation of lower extremity movement in chronically impaired stroke survivors. Neuroimage. 2005;26(1):184–194. doi: 10.1016/j.neuroimage.2005.01.027

[36]

Luft A.R., Forrester L., Macko R.F., et al. Brain activation of lower extremity movement in chronically impaired stroke survivors // Neuroimage. 2005. Vol. 26, N 1. Р. 184–194. doi: 10.1016/j.neuroimage.2005.01.027

[37]

Dobkin BH, Firestine A, West M, et al. Ankle dorsiflexion as an fMRI paradigm to assay motor control for walking during rehabilitation. Neuroimage. 2004;23(1):370–381. doi: 10.1016/j.neuroimage.2004.06.008

[38]

Dobkin B.H., Firestine A., West M., et al. Ankle dorsiflexion as an fMRI paradigm to assay motor control for walking during rehabilitation // Neuroimage. 2004. Vol. 23, N 1. Р. 370–381. doi: 10.1016/j.neuroimage.2004.06.008

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