Summary

Måling og manipulation funktionelt specifikke neurale veje i det menneskelige motorsystem med tværkraniel magnetisk stimulation

Published: February 23, 2020
doi:

Summary

Denne artikel beskriver nye tilgange til at måle og styrke funktionelt specifikke neurale veje med transkraniel magnetisk stimulation. Disse avancerede noninvasive hjernestimulationsmetoder kan give nye muligheder for forståelse af hjerneadfærdsrelationer og udvikling af nye behandlingsformer til behandling af hjernesygdomme.

Abstract

Forståelse interaktioner mellem hjernen områder er vigtigt for studiet af målrettet adfærd. Funktionel neuroimaging af hjernen smuligheder har givet vigtig indsigt i grundlæggende processer i hjernen som kognition, læring, og motorkontrol. Men denne tilgang kan ikke give årsagssammenhæng evidens for inddragelse af hjernen områder af interesse. Transkraniel magnetisk stimulation (TMS) er et kraftfuldt, noninvasive værktøj til at studere den menneskelige hjerne, der kan overvinde denne begrænsning ved forbigående at ændre hjerneaktivitet. Her fremhæver vi de seneste fremskridt ved hjælp af en parret-puls, dual-site TMS metode med to spoler, der kausal sonder kortico-kortikale interaktioner i det menneskelige motorsystem i forskellige opgave sammenhænge. Derudover beskriver vi en Dual-site TMS protokol baseret på kortikal parret associative stimulation (cPAS), der forbigående øger synaptisk effektivitet i to indbyrdes forbundne hjerneområder ved at anvende gentagne par kortikale stimuli med to spoler. Disse metoder kan give en bedre forståelse af de mekanismer, der ligger til grund for kognitiv-motorisk funktion samt et nyt perspektiv på at manipulere specifikke neurale veje på en målrettet måde at modulere hjernen kredsløb og forbedre adfærd. Denne tilgang kan vise sig at være et effektivt redskab til at udvikle mere avancerede modeller af hjerne-adfærd relationer og forbedre diagnose og behandling af mange neurologiske og psykiatriske lidelser.

Introduction

Noninvasive hjerne stimulation er en lovende vurdering værktøj og behandling for mange neurologiske lidelser, såsom Parkinsons sygdom, Alzheimers sygdom, og slagtilfælde1,2,3,4. Der er akkumulerende beviser for forholdet mellem adfærdsmæssige manifestationer af neurologiske sygdomme og abnormiteter i kortikal ophidselse, neuroplasticitet, kortico-kortikale og kortico-subkortikale tilslutningsmuligheder5,6. Derfor kan grundlæggende viden om hjernennetværk dynamik og plasticitet i neurologiske tilstande give uvurderlig indsigt i sygdomsdiagnose, progression, og reaktion på terapi. Funktionel magnetisk resonans imaging(fMR) er et nyttigt værktøj til at forstå de komplekse relationer mellem hjerne og adfærd i både sunde og syge hjernenetværk og har potentiale til at forbedre behandlingen baseret på et netværk perspektiv7,8,9. Men, fMR er korrelationsmæssig karakter og kan ikke give en årsagssammenhæng mellem hjernefunktion og adfærd, eller manipulere funktionelle tilslutningsmuligheder for at genoprette unormale neurale kredsløb forbundet med adfærdsmæssige funktionsnedsættelser hos patienter10,11,12. Transkraniel magnetisk stimulation (TMS) kan både kausal måle og modulere menneskelige hjernefunktion og adfærd i sundhed og sygdom3,13,14,15.

TMS er en sikker, noninvasive metode til at stimulere den menneskelige hjerne16,17og kan bruges til at fremkalde og måle plasticitet18. Denne metode kan fremme vores forståelse af kausalrelationer mellem individuelle hjerneområder og adfærd10,11,12,19og deres specifikke funktionelle interaktioner med andre noder i et hjernenetværk20,21,22,23. Til dato har de fleste undersøgelser fokuseret på det menneskelige motorsystem, da TMS til håndområdet af den motoriske cortex (M1) kan producere motor fremkaldte potentialer (MEP’er) som fysiologiske udlæsninger for ændringer i forbindelse med motorisk adfærd24, så undersøgelse af forskellige hæmmende og excitatoriske kredsløb på systemniveau i den menneskelige hjerne25. Nylige fremskridt ved hjælp af en konditioneringtest TMS tilgang med to spoler viser, at det er muligt at måle funktionelle interaktioner mellem forskellige kortikale områder. I motorsystemet viser TositeTMS-eksperimenter, at input fra kortikale områder, der er forbundet med M1, kan ændre sig med opgavekrav, alder eller sygdom14,26. Skelsættende arbejde af Ferbert og kolleger har konstateret, at anvende en konditionering stimulus til M1 forud for en test stimulus af den anden M1 kan resultere i hæmning af MEP amplitude, et fænomen kendt som kort interval interumisk hæmning (SIHI)28. En række TMS-undersøgelser ved hjælp af denne fremgangsmåde har også vist, at M1 er stærkt forbundet med den kontralaterale M1, ventrale præmotoriske cortex (PMv), dorsale præmotoriske cortex (PMd), supplerende motorområde (SMA), pre-SMA, primær sensorisk cortex (S1), dorsolateral præfrontal cortex (DLPFC) og posterior parietal cortex (PPC) i hvile27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42. Interessant, effekten af stimulation fra disse kortikale områder på motor kortikal ophidselse er anatomisk, tidsmæssigt, og funktionelt specifikke for den igangværende hjerneaktivitet under udarbejdelsen af en bevægelse (tilstand- og kontekstafhængig43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,69). Men, meget få undersøgelser ved hjælp af dual-site TMS har karakteriseret mønstre af funktionelle kortico-kortikale tilslutningsmuligheder med motoriske og kognitive funktionsnedsættelser hos patienter med hjernesygdomme70,71,72. Dette giver mulighed for at udvikle nye metoder til vurdering og behandling af motoriske og kognitive forstyrrelser.

Ved hjælp af denne teknik, det er også blevet konstateret, at gentagne par kortikale TMS anvendes på kortikale områder forbundet med M1 såsom kontralaterale M168,69,70, PMv76,77,78, SMA71, og PPC80,81,82 kan fremkalde ændringer i synaptisk effektivitet i specifikke neurale veje baseret på Hebbian princippet om associativ plasticitet83 ,84,85,86 og forbedre adfærdsmæssige ydeevne72,73,74. Stadig, få undersøgelser har brugt denne tilgang til at studere kredsløb og plasticitet dysfunktion i neurologiske lidelser2,75,76,77,78,79,80,81,82,83,84,90,91,92, 93,94,95,96. Det er stadig at blive vist, om en styrkelse af funktionelt specifikke neurale veje med TMS kan genoprette aktiviteten i dysfunktionelle kredsløb, eller om den potentielle styrkelse af intakt kredsløb kan øge modstandsdygtigheden97 i hjernen netværk støtte motoriske og kognitive funktion i hele levetiden og i sygdom. Manglen på grundlæggende forståelse af de neurale mekanismer, der ligger til grund for neurologiske lidelser og virkninger af stimulation på indbyrdes forbundne dysfunktionelle hjernenetværk, begrænser den nuværende behandling.

På trods af sin evne, TMS er endnu ikke blevet en standard del af armamentarium af neurovidenskab og kliniske værktøjer til at forstå hjerne-adfærd relationer, patosysiologi af hjernesygdomme, og effektiviteten af behandlingen. Derfor, at realisere sit potentiale og støtte sin store anvendelse, standardisering TMS metoder er vigtigt, fordi det er mere tilbøjelige til at øge stringens af fremtidige TMS eksperimenter og reproducerbarhed på tværs af uafhængige laboratorier. I denne artikel beskrives, hvordan TMS kan bruges til både at måle og manipulere funktionelle interaktioner. Her beskriver vi denne teknik i motorsystemet (f.eks. parieto-motorvej44) ved at måle TMS-baserede outputforanstaltninger (f.eks. mep’er), hvor metoden bedst forstås. Det er dog vigtigt at bemærke, at denne protokol også kan tilpasses til at målrette funktionel kobling af andre subkortikale85, cerebellar86,87, og kortikale områder. 73,74,88 Desuden kan neuroimaging teknikker som EEG89,90,91 og fMRI92,93 anvendes til at vurdere de TMS-inducerede ændringer i aktivitet og konnektivitet26,94. Vi slutter med at foreslå, at undersøgelsen af den funktionelle inddragelse af kredsløbsniveau kortikale tilslutningsmuligheder med disse TMS metoder i både sundhed og sygdom gør det muligt at udvikle målrettede diagnoser og innovative behandlingsformer baseret på mere avancerede netværksmodeller af hjerne-adfærd relationer.

Protocol

Følgende tre TMS-metoder er beskrevet nedenfor. For det første er to metoder beskrevet til at måle kortico-kortikale tilslutningsmuligheder ved hjælp af dual-site transkraniel magnetisk stimulation (dsTMS), mens deltagerne er enten 1) i hvile (hviletilstand) eller 2) udfører en objekt-rettet reach-to-grasp bevægelse ( opgaveafhængig). For det andet beskrives en kortikal parret associativ stimulationsmetode (cPAS) for at modulere samspillet mellem to hjerneområder på en kontrolleret måde ved at parre kortikale s…

Representative Results

Figur 5 viser størrelsen af et eksempel på et eksempel på et parlamentsmedlemmers respons, der fremkaldes i FDI-musklen af TMS for en ukonditioneret teststimuli (TS alene til M1, blå spor) eller konditionerede stimuli fra PPC (CS-TS, rødt spor), mens deltageren var i hvile (øverste panel) eller planlagde en målrettet gribehandling mod et objekt (nederste panel). I hvile udøver PPC en hæmmende indflydelse på ipsilateral M1, som det fremgår af faldet i MEP amplitudes forstærket af …

Discussion

Den dual-site TMS metode, der er beskrevet her kan anvendes til at undersøge funktionelle interaktioner mellem forskellige kortikale områder forbundet med den primære motoriske cortex, mens en deltager er i hvile eller planlægger en målrettet handling. Mens hjernebilleddannelse er korreleret, grundlæggende viden fra dual-site TMS metoder kan afsløre kausal hjerne-adfærd relationer forbundet med ændringer i kortico-kortikale kredsløb. Desuden kan kortikal parret associativ stimulation med to TMS-spoler, der anve…

Disclosures

The authors have nothing to disclose.

Acknowledgements

Dette arbejde blev støttet af University of Michigan: MCubed Scholars Program og School of Kinesiology.

Materials

Alpha B.I. D50 coil (coated) Magstim 50mm coil
BrainSight 2.0 Software Rogue Research Neuronavigation software
BrainSight frameless Stereotactic System Rogue Research Neuronavigation equiptment
D702 Coil Magstim 70mm coil
Discovery MR750 General Electric 3.0T MRI machine
Disposable Earplugs 3M Foam earplugs
ECG Electrodes 30mm x 24mm Coviden-Kendall H124SG Disposable electrodes
Four Channel Isolated Amplifier Intronix Technologies Corporation 2024F EMG amplifier
gGAMMAcap g.tec Medical Engineering EEG head cap
Micro1401-3 Cambridge Electronic Design Scientific data recorder and processing machine
Nuprep Skin Prep Gel Weaver and Company Skin prep abrasive gel
Signal v.7 Cambridge Electronic Design Data acquisition and analysis software
The Magstim BiStim2 Magstim Transcranial magnetic stimulator (two 2002 units)

References

  1. Ni, Z., Chen, R. Transcranial magnetic stimulation to understand pathophysiology and as potential treatment for neurodegenerative diseases. Translational Neurodegeneration. 4 (1), 1-12 (2015).
  2. Koch, G., Martorana, A., Caltagirone, C. Transcranial magnetic stimulation_ Emerging biomarkers and novel therapeutics in Alzheimer’s disease. Neuroscience Letters. 134355, (2019).
  3. Hallett, M., et al. Contribution of transcranial magnetic stimulation to assessment of brain connectivity and networks. Clinical Neurophysiology. 128 (11), 2125-2139 (2017).
  4. Hummel, F. C., Cohen, L. G. Non-invasive brain stimulation: a new strategy to improve neurorehabilitation after stroke. The Lancet Neurology. 5 (8), 708-712 (2006).
  5. Caligiore, D., et al. Parkinson’s disease as a system-level disorder. Nature Publishing Group. 2 (1), 1-9 (2016).
  6. Grefkes, C., Fink, G. R. Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches. Brain. 134 (5), 1264-1276 (2011).
  7. Calhoun, V. D., Miller, R., Pearlson, G., Adalı, T. The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery. Neuron. 84 (2), 262-274 (2014).
  8. Fox, M. D., et al. Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases. Proceedings of the National Academy of Sciences of the United States of America. 111 (41), 4367-4375 (2014).
  9. Fox, M. D., Halko, M. A., Eldaief, M. C., Pascual-Leone, A. Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS). NeuroImage. 62 (4), 2232-2243 (2012).
  10. Pascual-Leone, A., Walsh, V., Rothwell, J. Transcranial magnetic stimulation in cognitive neuroscience–virtual lesion, chronometry, and functional connectivity. Current Opinion in Neurobiology. 10 (2), 232-237 (2000).
  11. Pascual-Leone, A., Bartres-Faz, D., Keenan, J. P. Transcranial magnetic stimulation: studying the brain-behaviour relationship by induction of “virtual lesions”. Philosophical transactions of the Royal Society of London Series B, Biological Sciences. 354 (1387), 1229-1238 (1999).
  12. Bolognini, N., Ro, T. Transcranial magnetic stimulation: disrupting neural activity to alter and assess brain function. The Journal of Neuroscience. 30 (29), 9647-9650 (2010).
  13. Rothwell, J. C. Using transcranial magnetic stimulation methods to probe connectivity between motor areas of the brain. Human Movement Science. 30 (5), 906-915 (2010).
  14. Lafleur, L. P., Tremblay, S., Whittingstall, K., Lepage, J. F. Assessment of Effective Connectivity and Plasticity With Dual-Coil Transcranial Magnetic Stimulation. Brain Stimulation. 9 (3), 347-355 (2016).
  15. Chouinard, P. A., Paus, T. What have We Learned from “Perturbing” the Human Cortical Motor System with Transcranial Magnetic Stimulation. Frontiers in Human Neuroscience. 4, 173 (2010).
  16. Chen, R. Studies of human motor physiology with transcranial magnetic stimulation. Muscle & Nerve. 23 (S9), 26-32 (2000).
  17. Hallett, M. Transcranial magnetic stimulation and the human brain. Nature. 406 (6792), 147-150 (2000).
  18. Chen, R., Udupa, K. Measurement and modulation of plasticity of the motor system in humans using transcranial magnetic stimulation. Motor Control. 13 (4), 442-453 (2009).
  19. Walsh, V., Rushworth, M. A primer of magnetic stimulation as a tool for neuropsychology. Neuropsychologia. 37 (2), 125-135 (1999).
  20. Bestmann, S., et al. Mapping causal interregional influences with concurrent TMS-fMRI. Experimental Brain Research. 191 (4), 383-402 (2008).
  21. Siebner, H. R., Hartwigsen, G., Kassuba, T., Rothwell, J. C. How does transcranial magnetic stimulation modify neuronal activity in the brain? Implications for studies of cognition. Cortex. 45 (9), 1035-1042 (2009).
  22. Dayan, E., Censor, N., Buch, E. R., Sandrini, M., Cohen, L. G. Noninvasive brain stimulation: from physiology to network dynamics and back. Nature Publishing Group. 16 (7), 838-844 (2013).
  23. Sack, A. T. Transcranial magnetic stimulation, causal structure-function mapping and networks of functional relevance. Current Opinion in Neurobiology. 16 (5), 593-599 (2006).
  24. Bestmann, S., Krakauer, J. W. The uses and interpretations of the motor-evoked potential for understanding behaviour. Experimental Brain Research. 233 (3), 679-689 (2015).
  25. Vesia, M., Davare, M. Decoding Action Intentions in Parietofrontal Circuits. Journal of Neuroscience. 31 (46), 16491-16493 (2011).
  26. Cantarero, G., Celnik, P. Applications of TMS to Study Brain Connectivity. Brain Stimulation: Methodologies and Interventions. , 191-211 (2015).
  27. Ni, Z., et al. Two Phases of Interhemispheric Inhibition between Motor Related Cortical Areas and the Primary Motor Cortex in Human. Cerebral Cortex. 19 (7), 1654-1665 (2009).
  28. Ferbert, A., et al. Interhemispheric inhibition of the human motor cortex. The Journal of Physiology. 453, 525-546 (1992).
  29. Bäumer, T., et al. Inhibitory and facilitatory connectivity from ventral premotor to primary motor cortex in healthy humans at rest – A bifocal TMS study. Clinical Neurophysiology. 120 (9), 1724-1731 (2009).
  30. Koch, G., et al. Asymmetry of Parietal Interhemispheric Connections in Humans. Journal of Neuroscience. 31 (24), 8967-8975 (2011).
  31. Koch, G., et al. Focal stimulation of the posterior parietal cortex increases the excitability of the ipsilateral motor cortex. The Journal of Neuroscience. 27 (25), 6815-6822 (2007).
  32. Koch, G., et al. Interactions between pairs of transcranial magnetic stimuli over the human left dorsal premotor cortex differ from those seen in primary motor cortex. The Journal of Physiology. 578 (2), 551-562 (2007).
  33. Koch, G., et al. TMS activation of interhemispheric pathways between the posterior parietal cortex and the contralateral motor cortex. The Journal of Physiology. 587, 4281-4292 (2009).
  34. Ziluk, A., Premji, A., Nelson, A. J. Functional connectivity from area 5 to primary motor cortex via paired-pulse transcranial magnetic stimulation. Neuroscience Letters. 484 (1), 81-85 (2010).
  35. Karabanov, A. N., Chao, C. C., Paine, R., Hallett, M. Mapping different intra-hemispheric parietal-motor networks using twin coil TMS. Brain Stimulation. 6 (3), 384-389 (2012).
  36. Mochizuki, H., Huang, Y. Z., Rothwell, J. C. Interhemispheric interaction between human dorsal premotor and contralateral primary motor cortex. The Journal of Physiology. 561, 331-338 (2004).
  37. Civardi, C., Cantello, R., Asselman, P., Rothwell, J. C. Transcranial Magnetic Stimulation Can Be Used to Test Connections to Primary Motor Areas from Frontal and Medial Cortex in Humans. NeuroImage. 14 (6), 1444-1453 (2001).
  38. Groppa, S., et al. The human dorsal premotor cortex facilitates the excitability of ipsilateral primary motor cortex via a short latency cortico-cortical route. Human Brain Mapping. 33 (2), 419-430 (2011).
  39. Shirota, Y., et al. Increased primary motor cortical excitability by a single-pulse transcranial magnetic stimulation over the supplementary motor area. Experimental Brain Research. 219 (3), 339-349 (2012).
  40. Cattaneo, L., Barchiesi, G. Transcranial Magnetic Mapping of the Short-Latency Modulations of Corticospinal Activity from the Ipsilateral Hemisphere during Rest. Frontiers in Neural Circuits. 5, 14 (2011).
  41. Brown, M. J. N., et al. Somatosensory-motor cortex interactions measured using dual-site transcranial magnetic stimulation. Brain Stimulation. 12 (5), 1229-1243 (2019).
  42. Brown, M. J. N., Goldenkoff, E. R., Chen, R., Gunraj, C., Vesia, M. Using Dual-Site Transcranial Magnetic Stimulation to Probe Connectivity between the Dorsolateral Prefrontal Cortex and Ipsilateral Primary Motor Cortex in Humans. Brain Sciences. 9 (8), 177 (2019).
  43. Vesia, M., et al. Functional interaction between human dorsal premotor cortex and the ipsilateral primary motor cortex for grasp plans. Neuroreport. 29, 1355-1359 (2018).
  44. Vesia, M., et al. Human dorsomedial parieto-motor circuit specifies grasp during the planning of goal-directed hand actions. Cortex. 92, 175-186 (2017).
  45. Vesia, M., Bolton, D. A., Mochizuki, G., Staines, W. R. Human parietal and primary motor cortical interactions are selectively modulated during the transport and grip formation of goal-directed hand actions. Neuropsychologia. 51 (3), 410-417 (2013).
  46. Davare, M., Kraskov, A., Rothwell, J. C., Lemon, R. N. Interactions between areas of the cortical grasping network. Current Opinion in Neurobiology. 21 (4), 565-570 (2011).
  47. Davare, M., Rothwell, J. C., Lemon, R. N. Causal connectivity between the human anterior intraparietal area and premotor cortex during grasp. Current Biology. 20 (2), 176-181 (2010).
  48. Davare, M., Lemon, R., Olivier, E. Selective modulation of interactions between ventral premotor cortex and primary motor cortex during precision grasping in humans. The Journal of Physiology. 586, 2735-2742 (2008).
  49. Davare, M., Montague, K., Olivier, E., Rothwell, J. C., Lemon, R. N. Ventral premotor to primary motor cortical interactions during object-driven grasp in humans. Cortex. 45 (9), 1050-1057 (2009).
  50. Schintu, S., et al. Paired-Pulse Parietal-Motor Stimulation Differentially Modulates Corticospinal Excitability across Hemispheres When Combined with Prism Adaptation. Neural Plasticity. 2016 (4-6), 1-9 (2016).
  51. Isayama, R., et al. Rubber hand illusion modulates the influences of somatosensory and parietal inputs to the motor cortex. Journal of Neurophysiology. 121 (2), 563-573 (2019).
  52. Karabanov, A., et al. Timing-dependent modulation of the posterior parietal cortex-primary motor cortex pathway by sensorimotor training. Journal of Neurophysiology. 107 (11), 3190-3199 (2012).
  53. Picazio, S., et al. Prefrontal Control over Motor Cortex Cycles at Beta Frequency during Movement Inhibition. Current Biology. 24 (24), 2940-2945 (2014).
  54. Mackenzie, T. N., et al. Human area 5 modulates corticospinal output during movement preparation. Neuroreport. 27 (14), 1056-1060 (2016).
  55. Groppa, S., et al. A novel dual-site transcranial magnetic stimulation paradigm to probe fast facilitatory inputs from ipsilateral dorsal premotor cortex to primary motor cortex. NeuroImage. 62 (1), 500-509 (2012).
  56. O’Shea, J., Sebastian, C., Boorman, E. D., Johansen-Berg, H., Rushworth, M. F. S. Functional specificity of human premotor-motor cortical interactions during action selection. The European Journal of Neuroscience. 26 (7), 2085-2095 (2007).
  57. Mars, R. B., et al. Short-latency influence of medial frontal cortex on primary motor cortex during action selection under conflict. The Journal of Neuroscience. 29 (21), 6926-6931 (2009).
  58. Hasan, A., et al. Muscle and timing-specific functional connectivity between the dorsolateral prefrontal cortex and the primary motor cortex. Journal of Cognitive Neuroscience. 25 (4), 558-570 (2013).
  59. Fujiyama, H., et al. Age-Related Changes in Frontal Network Structural and Functional Connectivity in Relation to Bimanual Movement Control. The Journal of Neuroscience. 36 (6), 1808-1822 (2016).
  60. Koch, G., et al. Functional Interplay between Posterior Parietal and Ipsilateral Motor Cortex Revealed by Twin-Coil Transcranial Magnetic Stimulation during Reach Planning toward Contralateral Space. The Journal of Neuroscience. 28 (23), 5944-5953 (2008).
  61. Koch, G., et al. In vivo definition of parieto-motor connections involved in planning of grasping movements. NeuroImage. 51 (1), 300-312 (2010).
  62. Koch, G., et al. Resonance of cortico-cortical connections of the motor system with the observation of goal directed grasping movements. Neuropsychologia. 48 (12), 3513-3520 (2010).
  63. Koch, G., et al. Time course of functional connectivity between dorsal premotor and contralateral motor cortex during movement selection. The Journal of Neuroscience. 26 (28), 7452-7459 (2006).
  64. Koch, G., Rothwell, J. C. TMS investigations into the task-dependent functional interplay between human posterior parietal and motor cortex. Behavioural Brain Research. 202 (2), 147-152 (2009).
  65. Lago, A., et al. Ventral premotor to primary motor cortical interactions during noxious and naturalistic action observation. Neuropsychologia. 48 (6), 1802-1806 (2010).
  66. Picazio, S., Ponzo, V., Koch, G. Cerebellar Control on Prefrontal-Motor Connectivity During Movement Inhibition. The Cerebellum. 15 (6), 680-687 (2015).
  67. Byblow, W. D., et al. Functional Connectivity Between Secondary and Primary Motor Areas Underlying Hand-Foot Coordination. Journal of Neurophysiology. 98 (1), 414-422 (2007).
  68. Rizzo, V., et al. Associative cortico-cortical plasticity may affect ipsilateral finger opposition movements. Behavioural Brain Research. 216 (1), 433-439 (2011).
  69. Rizzo, V., et al. Paired Associative Stimulation of Left and Right Human Motor Cortex Shapes Interhemispheric Motor Inhibition based on a Hebbian Mechanism. Cerebral Cortex. 19 (4), 907-915 (2009).
  70. Koganemaru, S., et al. Human motor associative plasticity induced by paired bihemispheric stimulation. The Journal of Physiology. 587 (19), 4629-4644 (2009).
  71. Arai, N., et al. State-dependent and timing-dependent bidirectional associative plasticity in the human SMA-M1 network. Journal of Neuroscience. 31 (43), 15376-15383 (2011).
  72. Fiori, F., Chiappini, E., Avenanti, A. Enhanced action performance following TMS manipulation of associative plasticity in ventral premotor-motor pathway. NeuroImage. 183, 847-858 (2018).
  73. Chiappini, E., Silvanto, J., Hibbard, P. B., Avenanti, A., Romei, V. Strengthening functionally specific neural pathways with transcranial brain stimulation. Current Biology. 28 (13), 735-736 (2018).
  74. Romei, V., Chiappini, E., Hibbard, P. B., Avenanti, A. Empowering Reentrant Projections from V5 to V1 Boosts Sensitivity to Motion. Current Biology. 26 (16), 2155-2160 (2016).
  75. Zittel, S., et al. Effects of dopaminergic treatment on functional cortico-cortical connectivity in Parkinson’s disease. Experimental Brain Research. 233 (1), 329-337 (2014).
  76. Nelson, A. J., Hoque, T., Gunraj, C., Ni, Z., Chen, R. Impaired interhemispheric inhibition in writer’s cramp. Neurology. 75 (5), 441-447 (2010).
  77. Murase, N., Duque, J., Mazzocchio, R., Cohen, L. G. Influence of interhemispheric interactions on motor function in chronic stroke. Annals of Neurology. 55 (3), 400-409 (2004).
  78. Bonnì, S., et al. Altered Parietal-Motor Connections in Alzheimer’s Disease Patients. Journal of Alzheimer’s Disease. 33 (2), 525-533 (2012).
  79. Koch, G., et al. Altered dorsal premotor-motor interhemispheric pathway activity in focal arm dystonia. Movement Disorders. 23 (5), 660-668 (2008).
  80. Koch, G., et al. Hyperexcitability of parietal-motor functional connections in the intact left-hemisphere of patients with neglect. Brain. 131, 3147-3155 (2008).
  81. Di Lorenzo, F., et al. Long-term potentiation-like cortical plasticity is disrupted in Alzheimer’s disease patients independently from age of onset. Annals of Neurology. 80 (2), 202-210 (2016).
  82. Ponzo, V., et al. Altered inhibitory interaction among inferior frontal and motor cortex in l-dopa-induced dyskinesias. Movement Disorders. 31 (5), 755-759 (2016).
  83. Koch, G., et al. Effect of Cerebellar Stimulation on Gait and Balance Recovery in Patients With Hemiparetic Stroke. JAMA Neurology. 76 (2), 170-178 (2018).
  84. Palomar, F. J., et al. Parieto-motor functional connectivity is impaired in Parkinson’s disease. Brain Stimulation. 6 (2), 147-154 (2013).
  85. Udupa, K., et al. Cortical Plasticity Induction by Pairing Subthalamic Nucleus Deep-Brain Stimulation and Primary Motor Cortical Transcranial Magnetic Stimulation in Parkinson’s Disease. The Journal of Neuroscience. 36 (2), 396-404 (2016).
  86. Ugawa, Y., Uesaka, Y., Terao, Y., Hanajima, R., Kanazawa, I. Magnetic stimulation over the cerebellum in humans. Annals of Neurology. 37 (6), 703-713 (1995).
  87. Pinto, A. D., Chen, R. Suppression of the motor cortex by magnetic stimulation of the cerebellum. Experimental Brain Research. 140 (4), 505-510 (2001).
  88. Kohl, S., et al. Cortical Paired Associative Stimulation Influences Response Inhibition Cortico-cortical and Cortico-subcortical Networks. Biological Psychiatry. 85 (4), 355-363 (2019).
  89. Casula, E. P., Pellicciari, M. C., Picazio, S., Caltagirone, C., Koch, G. Spike-timing-dependent plasticity in the human dorso-lateral prefrontal cortex. NeuroImage. 143, 204-213 (2016).
  90. Veniero, D., Ponzo, V., Koch, G. Paired Associative Stimulation Enforces the Communication between Interconnected Areas. Journal of Neuroscience. 33 (34), 13773-13783 (2013).
  91. Tremblay, S., et al. Clinical utility and prospective of TMS-EEG. Clinical Neurophysiology. 130 (5), 802-844 (2019).
  92. Johnen, V. M., Neubert, F. X., Buch, E. R., Verhagen, L. Causal manipulation of functional connectivity in a specific neural pathway during behaviour and at rest. eLife. 4, 04585 (2015).
  93. Santarnecchi, E., et al. Modulation of network-to-network connectivity via spike-timing-dependent noninvasive brain stimulation. Human Brain Mapping. 39 (12), 4870-4883 (2018).
  94. Bergmann, T. O., Karabanov, A., Hartwigsen, G., Thielscher, A., Siebner, H. R. Combining non-invasive transcranial brain stimulation with neuroimaging and electrophysiology: Current approaches and future perspectives. NeuroImage. 140, 4-19 (2016).
  95. Rossi, S., Hallett, M., Rossini, P. M., Pascual-Leone, A. Screening questionnaire before TMS: An update. Clinical Neurophysiology. 122 (8), 1686 (2011).
  96. Keel, J. C., Smith, M. J., Wassermann, E. M. A safety screening questionnaire for transcranial magnetic stimulation. Clinical Neurophysiology. 112 (4), 720 (2001).
  97. Rossini, P. M., et al. Non-invasive electrical and magnetic stimulation of the brain, spinal cord and roots: basic principles and procedures for routine clinical application. Report of an IFCN committee. Electroencephalography and Clinical Neurophysiology. 91 (2), 79-92 (1994).
  98. Rossini, P. M., et al. Non-invasive electrical and magnetic stimulation of the brain, spinal cord, roots and peripheral nerves: Basic principles and procedures for routine clinical and research application. An updated report from an I.F.C.N. Committee. Clinical Neurophysiology. 126 (6), 1071-1107 (2015).
  99. Wassermann, E. M. Risk and safety of repetitive transcranial magnetic stimulation: report and suggested guidelines from the International Workshop on the Safety of Repetitive Transcranial Magnetic Stimulation, June 5-7, 1996. Electroencephalography and Clinical Neurophysiology. 108 (1), 1-16 (1998).
  100. Rossi, S., Hallett, M., Rossini, P. M., Pascual-Leone, A. Safety of TMS Consensus Group. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clinical Neurophysiology. 120 (12), 2008-2039 (2009).
  101. Oldfield, R. C. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 9 (1), 97-113 (1971).
  102. Villamar, M. F., et al. Technique and Considerations in the Use of 4×1 Ring High-definition Transcranial Direct Current Stimulation (HD-tDCS). Journal of Visualized Experiments. (77), e50309 (2013).
  103. Sack, A. T., et al. Optimizing functional accuracy of TMS in cognitive studies: a comparison of methods. Journal of Cognitive Neuroscience. 21 (2), 207-221 (2009).
  104. Yousry, T. A., et al. Localization of the motor hand area to a knob on the precentral gyrus. A new landmark. Brain. 120, 141-157 (1997).
  105. Groppa, S., et al. A practical guide to diagnostic transcranial magnetic stimulation: Report of an IFCN committee. Clinical Neurophysiology. 123 (5), 858-882 (2012).
  106. Cattaneo, L., et al. A cortico-cortical mechanism mediating object-driven grasp in humans. Proceedings of the National Academy of Sciences of the United States of America. 102 (3), 898-903 (2005).
  107. Hebb, D. O. . The organization of behavior: A neurophysiological approach. , (1949).
  108. Caporale, N., Dan, Y. Spike Timing-Dependent Plasticity: A Hebbian Learning Rule. Annual Review of Neuroscience. 31 (1), 25-46 (2008).
  109. Markram, H., Lübke, J., Frotscher, M., Sakmann, B. Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science. 275 (5297), 213-215 (1997).
  110. Jackson, A., Mavoori, J., Fetz, E. E. Long-term motor cortex plasticity induced by an electronic neural implant. Nature. 444 (7115), 56-60 (2006).
  111. Koch, G., Ponzo, V., Di Lorenzo, F., Caltagirone, C., Veniero, D. Hebbian and Anti-Hebbian Spike-Timing-Dependent Plasticity of Human Cortico-Cortical Connections. Journal of Neuroscience. 33 (23), 9725-9733 (2013).
  112. Romei, V., Thut, G., Silvanto, J. Information-Based Approaches of Noninvasive Transcranial Brain Stimulation. Trends in Neurosciences. 39 (11), 782-795 (2016).
  113. Carson, R. G., et al. Excitability changes in human forearm corticospinal projections and spinal reflex pathways during rhythmic voluntary movement of the opposite limb. The Journal of Physiology. 560, 929-940 (2004).

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Goldenkoff, E. R., Mashni, A., Michon, K. J., Lavis, H., Vesia, M. Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation. J. Vis. Exp. (156), e60706, doi:10.3791/60706 (2020).

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