Abstract
Parkinson disease (PD) is a neurodegenerative disorder that causes motor and cognitive deficits, presenting complex challenges for therapeutic interventions. Repetitive transcranial magnetic stimulation (rTMS) is a type of neuromodulation that can produce plastic changes in neural activity. rTMS has been trialed as a therapy to treat motor and non-motor symptoms in persons with Parkinson disease (PwP), particularly treatment-refractory postural instability and gait difficulties such as Freezing of Gait (FoG), but clinical outcomes have been variable. We suggest improving rTMS neuromodulation therapy for balance and gait abnormalities in PwP by targeting brain regions in cognitive-motor control networks. rTMS studies in PwP often targeted motor targets such as the primary motor cortex (M1) or supplementary motor area (SMA), overlooking network interactions involved in posture-gait control disorders. We propose a shift in focus toward alternative stimulation targets in basal ganglia-cortex-cerebellum networks involved in posture-gait control, emphasizing the dorsolateral prefrontal cortex (dlPFC), cerebellum (CB), and posterior parietal cortex (PPC) as potential targets. rTMS might also be more effective if administered during behavioral tasks designed to activate posture-gait control networks during stimulation. Optimizing stimulation parameters such as dosage and frequency as used clinically for the treatment of depression may also be useful. A network-level perspective suggests new directions for exploring optimal rTMS targets and parameters to maximize neural plasticity to treat postural instabilities and gait difficulties in PwP.
Introduction
Parkinson disease (PD) is a common neurodegenerative disorder affecting motor and cognitive functions (). PD is a significant cause of disability in the aging population. Distal limb bradykinesia is the defining symptom of the disease, accompanied by rigidity, tremors, and balance and gait disturbances (; ; ). Although PD is historically described as a motor disorder, it is a complex cognitive-motor disorder (). In line with the diverse array of motor and cognitive symptoms associated with PD, current treatments take many forms. Modern therapies include medications such as dopamine replacement therapy, surgical interventions like deep brain stimulation, and assistive treatments (e.g., physical, occupational, or speech therapies) aimed at improving motor and non-motor features. Although existing treatments frequently affect significant improvements, important clinical features are refractory to treatment. Treatment refractory postural instability and gait disorders are common and morbid features of advancing PD. Even when existing treatments are effective, there may be complicated side effects. Chronic use of dopaminergic medications can lead to behavioral problems and is associated with motor fluctuations and troublesome involuntary movements. Surgical therapies, such as deep brain stimulation, improve motor features, but only a limited number of persons with Parkinson (PwP) are eligible, and mood disorders are a common side effect (; ).
Given the shortcomings of existing treatments, there has been increased interest recently in repetitive transcranial magnetic stimulation (rTMS) as a neuromodulation therapy for PD. Since rTMS is non-invasive, it may present a safer alternative treatment to invasive surgeries. rTMS is considered to be more precise than existing medications, as it targets regions in the brain that are interconnected both structurally and functionally through direct and multisynaptic anatomical connections (). rTMS causes changes in neuronal excitability akin to long-term potentiation or long-term depression, depending on which protocols are employed and where stimulation is targeted. However, current rTMS protocols show inconsistent efficacy as a treatment for balance and gait abnormalities in PwP (; ).
In this opinion piece, we offer suggestions for increasing rTMS treatment efficacy for balance and gait disorders in PwP. Most prior investigations of rTMS for motor deficits in PD targeted motor targets such as the primary motor cortex (M1) or supplementary motor area (SMA; ; ; ; ). Our point of departure from exclusively stimulating motor targets is informed by network-level framing of PD pathophysiology. Although motor targets are a critical source of motor programs and commands, targeting regions involved in cognitive aspects of posture-gait control may better improve motor functions as well as cognitive functions. We emphasize targeting alternative connected regions of the basal ganglia-cortex-cerebellum network (BG-Ctx-CB) implicated in PD, specifically the dorsolateral prefrontal cortex (dlPFC), cerebellum (CB), and posterior parietal cortex (PPC). We suggest that targeting the BG-Ctx-CB network and using plasticity-informed stimulation paradigms will result in more consistently effective rTMS treatments for FoG motor deficits in PwP.
A network approach to rTMS targeting
PD reflects network-level disorders. BG dysfunction is the root of many motor features of PD. Focusing on BG alone, however, disregards its interactions with other regions such as dlPFC, PPC, and the CB (Figure 1A). Studies suggest PD deficits in cognitive control drive FoG, resulting from dysfunctions in a distributed network of frontal and parietal cortical regions (). Neuroimaging studies link cognitive symptoms in PD to changes in dlPFC, premotor, and PPC activity, and motor symptoms to changes in the interactions between BG, cortex, and CB (; ; , ).
FIGURE 1
While network interactions influencing PD features such as postural instability and FoG are well-established, most rTMS studies have focused on motor targets for treating these sensorimotor deficits. The emphasis on motor targets is due to their well-defined role in preparing and executing coordinated movements and their attractive anatomical properties. However, two-thirds of corticospinal projections originate from outside motor targets in frontal premotor areas and parietal cortices (
The choice of optimal stimulation targets should also consider person-specific compensatory mechanisms. Compensation is the brain’s adaptive response to ongoing neurodegeneration and may have beneficial or detrimental effects depending on the context and brain regions involved. As the disease progresses, certain brain regions may exhibit increased or decreased activity to offset motor and non-motor deficits (
Dorsolateral prefrontal cortex (dlPFC)
An alternative cortical rTMS target for improving motor impairments in PwP is the dlPFC. The dlPFC has a wide-reaching influence over a swath of executive functions (
Increased dlPFC activity in PD could reflect a necessary compensatory response to ameliorate motor deficits in PD, or this excess activity could be detrimental to function. Overactivity in the dlPFC may be considered wholly detrimental rather than compensatory if the persistence of increased top-down control occurs in contexts beyond dual-tasking. If dlPFC hyperactivity is contributing to the motor deficits in PD, one treatment strategy would be to downregulate dlPFC activity through rTMS treatments. Due to its upstream and contextual influence on M1, designing rTMS paradigms for dlPFC could more effectively counteract the movement instability arising from attentional and control deficits (Figure 1B). Most treatment studies to date emphasized strengthening connections between dlPFC and M1 using excitatory rTMS, leading to mostly null effects on motor performance (
Cerebellum (CB) and posterior parietal cortex (PPC)
Another network-level stimulation target is the CB (Figure 1C), which can modulate the neuronal excitability of interconnected PPC regions (
BOX 1
Spaced Learning: Spaced learning involves repeated training sessions with long intervals in between and it is critical for dynamic motor memory stabilization (
FIGURE 2

Spaced learning stimulation protocol. During stimulation, participants perform a task to activate a network of interest. Repetitive transcranial magnetic stimulation (rTMS) is delivered at intervals of 60 minutes, promoting additive potentiation to neural activity in networks.
The compensatory role of CB in PD may contribute to maintaining normal motor and non-motor function in the early stages of the disease (
Administering excitatory rTMS to the CB could enhance motor control and sensorimotor processes in the PPC. Reductions in cortical volume involving the PPC may contribute to the manifestation of FoG in PwP (
Maximizing the effects of stimulation (frequency, dosage, rTMS-state-dependence interaction)
In addition to considering the desired treatment brain targets, treatment regimens themselves are critical when designing rTMS paradigms. Factors such as stimulation frequency, dosage, and brain state during stimulation can affect brain and behavioral responses. Although rTMS has been used in translational research to improve cognitive-motor function in PwP, mixed and weak results may be attributed to the use of suboptimal treatment regimens (
In clinical contexts, there are two main categories used for rTMS: standard repetitive TMS (rTMS) and patterned rTMS using theta burst stimulation (TBS). Both stimulation categories have subtypes that lead to increased cortico-spinal excitability [rTMS: > 5Hz, intermittent TBS (iTBS)] and decreased cortico-spinal excitability [rTMS: < 1Hz, continuous TBS (cTBS)] (
Another important variable in defining rTMS treatment paradigms for PD is stimulation dosage. “Dosage” is defined as the number of pulses administered in one treatment day. One possible explanation for the heterogeneity of outcomes in the use of rTMS for motor symptom treatment in PwP is inadequate dosing of stimulation. Most studies focusing on motor symptoms in PwP have been limited to small dosages of around 2,000 pulses and short treatment durations between one and three days. The most effective PD treatment studies so far have been those that greatly increased the dosage and duration of the treatment course, with approximately 10,000 pulses delivered over weeks (
The behavioral and neural activity, referred to as ‘brain state’, during stimulation is another often overlooked factor that may be critical for designing effective rTMS therapies. The large inter- and intra-individual variability of brain and behavior responses to rTMS therapies in PD could be reduced by controlling the brain state at the time of stimulation. Current rTMS interventions are often administered during a brain state termed ‘rest’ when the participant is in a quiet, still position (
The studies reviewed here demonstrate the frequency, dose, and state-dependent effects of rTMS on brain activity and behavior. The consequences of repeated stimulation in such circumstances have not been fully explored. Future research should consider increasing the dosage of rTMS and delivering distinct stimulation frequencies based on ongoing physiology to design more effective treatments for cognitive-motor impairments in PwP. Additionally, matching the behavioral state during stimulation to target specific neuronal populations involved in cognitive-motor control may provide another avenue to reduce heterogeneity and increase the efficacy of neuromodulation treatments in PD. Understanding the frequency, dose, and state-dependent effects of neural stimulation is critical to improving clinical outcomes by identifying the factors that affect response to rTMS.
Conclusion and future directions
In this opinion piece, we have outlined how taking a network view of PD may lead to selecting more effective rTMS targets for alleviating postural imbalances and FoG in PwP. While rTMS to motor targets has been a standard intervention, recent insights suggest that targeting a node through specific brain circuits involved in cognitive-motor control, such as dlPFC, CB, and PPC, could increase the effectiveness of neuromodulation of aberrant brain networks in PD. This network approach also raises the prospect of delivering multi-site rTMS concurrently to modify connectivity in brain networks in clinical contexts. The precise interactions between brain regions and stimulation are complex and require a causal grounding of clinical neurostimulation in specific neural circuit alteration. Emphasis should be placed on neural mechanisms of treatment using neurophysiology and neuroimaging to increase the reliability of these interventions. Additionally, choosing the correct frequency, increasing the rTMS dosage, and integrating brain state manipulations into stimulation sessions may provide more effective and lasting changes than currently demonstrated. Future work should focus on which rTMS parameters, such as iTBS or cTBS, would be most effective at improving symptoms at the different targets. To fully harness the therapeutic potential of rTMS in PwP, it is crucial to gather data across all disease stages, identify optimal stimulation timing within the disease course, and determine the duration of stimulation effects on brain activity and behavior outcomes. By evaluating factors such as medication status and disease progression, we can develop an adaptive, individualized stimulation protocol for each patient, maximizing therapeutic outcomes and quality of life while maintaining pragmatic treatment goals.
Statements
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
RP: Writing – review and editing, Writing – original draft, Visualization, Conceptualization. JAD: Writing – review and editing, Writing – original draft, Visualization, Conceptualization. TGL: Writing – review and editing, Visualization, Supervision, Resources, Funding acquisition, Conceptualization. SD: Writing – review and editing, Visualization. IM-O: Writing – review and editing, Visualization. RLA: Writing – review and editing, Supervision, Funding acquisition. MV: Writing – review and editing, Visualization, Supervision, Resources, Funding acquisition, Conceptualization.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by a Stanley Fahn Junior Faculty Award from the National Parkinson Foundation (PF-SF-JFA-837334) and a Pilot Research Grant from the School of Kinesiology at the University of Michigan. JAD was supported by a Rackham Merit Fellowship from the University of Michigan and a charitable gift from the Sarns Family. RLA was supported by P50NS067123 and R21NS114749 and MV was supported by R21NS118055 from the National Institutes of Health. The funders were not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.
Acknowledgments
All figures were created with BioRender.com.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1
AlbinR. L. (2023). Parkinson disease.Oxford: Oxford University Press.
2
AlbinR. L.Van Der ZeeS.Van LaarT.SarterM.LustigC.MullerM. L. T. M.et al (2022). Cholinergic systems, attentional-motor integration, and cognitive control in Parkinson’s disease.Prog. Brain Res.269345–371. 10.1016/bs.pbr.2022.01.011
3
AmboniM.BaroneP.HausdorffJ. M. (2013). Cognitive contributions to gait and falls: evidence and implications.Move. Disord.281520–1533. 10.1002/mds.25674
4
AndersenR. A.CuiH. (2009). Intention, action planning, and decision making in parietal-frontal circuits.Neuron63568–583. 10.1016/j.neuron.2009.08.028
5
BardakanM. M.FinkG. R.ZapparoliL.BottiniG.PaulesuE.WeissP. H. (2022). Imaging the neural underpinnings of freezing of gait in Parkinson’s disease.NeuroImage35:103123.
6
BernardJ. A.SeidlerR. D.HassevoortK. M.BensonB. L.WelshR. C.WigginsJ. L.et al (2012). Resting state cortico-cerebellar functional connectivity networks: A comparison of anatomical and self-organizing map approaches.Front. Neuroanat.6:31. 10.3389/fnana.2012.00031
7
BlesaJ.Trigo-DamasI.DileoneM.Del ReyN. L.-G.HernandezL. F.ObesoJ. A. (2017). Compensatory mechanisms in Parkinson’s disease: Circuits adaptations and role in disease modification.Exp. Neurol.298148–161. 10.1016/j.expneurol.2017.10.002
8
BohnenN. I.CostaR. M.DauerW. T.FactorS. A.GiladiN.HallettM.et al (2022a). Discussion of research priorities for gait disorders in Parkinson’s disease.Move. Disord.37253–263. 10.1002/mds.28883
9
BohnenN. I.YarnallA. J.WeilR. S.MoroE.MoehleM. S.BorghammerP.et al (2022b). Cholinergic system changes in Parkinson’s disease: Emerging therapeutic approaches.Lancet Neurol.21381–392. 10.1016/S1474-4422(21)00377-X
10
BolognaM.Di BiasioF.ConteA.IezziE.ModugnoN.BerardelliA. (2015). Effects of cerebellar continuous theta burst stimulation on resting tremor in Parkinson’s disease.Parkinson. Relat. Disord.211061–1066. 10.1016/j.parkreldis.2015.06.015
11
BolognaM.EspayA. J.FasanoA.PaparellaG.HallettM.BerardelliA. (2023). Redefining Bradykinesia.Move. Disord.38551–557. 10.1002/mds.29362
12
BostanA. C.DumR. P.StrickP. L. (2013). Cerebellar networks with the cerebral cortex and basal ganglia.Trends Cogn. Sci.17241–254. 10.1016/j.tics.2013.03.003
13
BostanA. C.StrickP. L. (2010). The cerebellum and basal ganglia are interconnected.Neuropsychol. Rev.20261–270. 10.1007/s11065-010-9143-9
14
BostanA. C.StrickP. L. (2018). The basal ganglia and the cerebellum: Nodes in an integrated network.Nat. Rev. Neurosci.19338–350. 10.1038/s41583-018-0002-7
15
BradleyC.NydamA. S.DuxP. E.MattingleyJ. B. (2022). State-dependent effects of neural stimulation on brain function and cognition.Nat. Rev. Neurosci.23459–475. 10.1038/s41583-022-00598-1
16
BucknerR. L. (2013). The cerebellum and cognitive function: 25 years of insight from anatomy and neuroimaging.Neuron80807–815. 10.1016/j.neuron.2013.10.044
17
BucknerR. L.KrienenF. M.CastellanosA.DiazJ. C.YeoB. T. T. (2011). The organization of the human cerebellum estimated by intrinsic functional connectivity.J. Neurophysiol.1062322–2345. 10.1152/jn.00339.2011
18
CaligioreD.HelmichR. C.HallettM.MoustafaA. A.TimmermannL.ToniI.et al (2016). Parkinson’s disease as a system-level disorder.Npj Parkinson Dis.216025. 10.1038/npjparkd.2016.25
19
CaligioreD.PezzuloG.BaldassarreG.BostanA. C.StrickP. L.DoyaK.et al (2017). Consensus paper: towards a systems-level view of cerebellar function: the interplay between cerebellum: Basal ganglia, and cortex.Cerebellum16203–229. 10.1007/s12311-016-0763-3
20
CaoG.HarrisK. M. (2014). Augmenting saturated LTP by broadly spaced episodes of theta-burst stimulation in hippocampal area CA1 of adult rats and mice.J. Neurophysiol.1121916–1924. 10.1152/jn.00297.2014
21
CarrilloF.PalomarF. J.CondeV.Diaz-CorralesF. J.PorcacchiaP.Fernández-del-OlmoM.et al (2013). Study of Cerebello-Thalamocortical Pathway by Transcranial Magnetic Stimulation in Parkinson’s Disease.Brain Stimul.6582–589. 10.1016/j.brs.2012.12.004
22
CasulaE. P.PellicciariM. C.PonzoV.Stampanoni BassiM.VenieroD.CaltagironeC.et al (2016). Cerebellar theta burst stimulation modulates the neural activity of interconnected parietal and motor areas.Sci. Rep.636191. 10.1038/srep36191
23
CattaneoZ.SilvantoJ. (2008). Time course of the state-dependent effect of transcranial magnetic stimulation in the TMS-adaptation paradigm.Neurosci. Lett.44382–85. 10.1016/j.neulet.2008.07.051
24
CavanaghJ. F.RymanS.RichardsonS. P. (2022). Cognitive control in Parkinson’s disease.Prog. Brain Res.269137–152. 10.1016/bs.pbr.2022.01.019
25
ChouY.HickeyP. T.SundmanM.SongA. W.ChenN. (2015). Effects of Repetitive Transcranial Magnetic Stimulation on Motor Symptoms in Parkinson Disease: A Systematic Review and Meta-analysis.JAMA Neurol.72432. 10.1001/jamaneurol.2014.4380
26
ChungC. L.MakM. K. Y. (2016). Effect of repetitive transcranial magnetic stimulation on physical function and motor signs in Parkinson’s disease: A systematic review and meta-analysis.Brain Stimul.9475–487. 10.1016/j.brs.2016.03.017
27
ColeE. J.StimpsonK. H.BentzleyB. S.GulserM.CherianK.TischlerC.et al (2020). Stanford accelerated intelligent neuromodulation therapy for treatment-resistant depression.Am. J. Psychiatry177716–726. 10.1176/appi.ajp.2019.19070720
28
DavieC. A. (2008). A review of Parkinson’s disease.Br. Med. Bull.86109–127. 10.1093/bmb/ldn013
29
DengS.DongZ.PanL.LiuY.YeZ.QinL.et al (2022). Effects of repetitive transcranial magnetic stimulation on gait disorders and cognitive dysfunction in Parkinson’s disease: A systematic review with meta-analysis.Brain Behav.12e2697. 10.1002/brb3.2697
30
FestiniS. B.BernardJ. A.KwakY.PeltierS.BohnenN. I.MüllerM. L. T. M.et al (2015). Altered cerebellar connectivity in Parkinson’s patients ON and OFF L-DOPA medication.Front. Hum. Neurosci.9:214. 10.3389/fnhum.2015.00214
31
GallegoJ. A.MakinT. R.McDougleS. D. (2022). Going beyond primary motor cortex to improve brain–computer interfaces.Trends Neurosci.45176–183. 10.1016/j.tins.2021.12.006
32
GamboaO. L.AntalA.MoliadzeV.PaulusW. (2010). Simply longer is not better: Reversal of theta burst after-effect with prolonged stimulation.Exp. Brain Res.204181–187. 10.1007/s00221-010-2293-4
33
GoldenkoffE. R.DeluisiJ. A.DestinyD. P.LeeT. G.MichonK. J.BrissendenJ. A.et al (2023). The behavioral and neural effects of parietal theta burst stimulation on the grasp network are stronger during a grasping task than at rest.Front. Neurosci.17:1198222. 10.3389/fnins.2023.1198222
34
GoodwillA. M.LumJ. A. G.HendyA. M.MuthalibM.JohnsonL.Albein-UriosN.et al (2017). Using non-invasive transcranial stimulation to improve motor and cognitive function in Parkinson’s disease: A systematic review and meta-analysis.Sci. Rep.714840. 10.1038/s41598-017-13260-z
35
HausdorffJ. M.DonigerG. M.SpringerS.YogevG.SimonE. S.GiladiN. (2006). A common cognitive profile in elderly fallers and in patients with Parkinson’s disease: The prominence of impaired executive function and attention.Exp. Aging Res.32411–429. 10.1080/03610730600875817
36
HelmichR. C.Van Den BergK. R. E.PanyakaewP.ChoH. J.OsterholtT.McGurrinP.et al (2021). Cerebello-cortical control of tremor rhythm and amplitude in Parkinson’s disease.Move. Disord.361727–1729. 10.1002/mds.28603
37
HerzD. M.MederD.CamilleriJ. A.EickhoffS. B.SiebnerH. R. (2021). Brain motor network changes in Parkinson’s disease: evidence from meta-analytic modeling.Move. Disord.361180–1190. 10.1002/mds.28468
38
HuangY.-Z.EdwardsM. J.RounisE.BhatiaK. P.RothwellJ. C. (2005). Theta burst stimulation of the human motor cortex.Neuron45201–206. 10.1016/j.neuron.2004.12.033
39
HuttonT. M.AaronsonS. T.CarpenterL. L.PagesK.KrantzD.LucasL.et al (2023). Dosing transcranial magnetic stimulation in major depressive disorder: Relations between number of treatment sessions and effectiveness in a large patient registry.Brain Stimul.161510–1521. 10.1016/j.brs.2023.10.001
40
KellyV. E.EusterbrockA. J.Shumway-CookA. (2012). A review of dual-task walking deficits in people with Parkinson’s disease: motor and cognitive contributions: Mechanisms, and clinical implications.Parkinson Dis.20121–14. 10.1155/2012/918719
41
KlomjaiW.KatzR.Lackmy-ValléeA. (2015). Basic principles of transcranial magnetic stimulation (TMS) and repetitive TMS (rTMS).Ann. Phys. Rehabil. Med.58208–213. 10.1016/j.rehab.2015.05.005
42
KochG.BonnìS.CasulaE. P.IosaM.PaolucciS.PellicciariM. C.et al (2019). Effect of cerebellar stimulation on gait and balance recovery in patients with hemiparetic stroke: A randomized clinical trial.JAMA Neurol.76170. 10.1001/jamaneurol.2018.3639
43
KramárE. A.BabayanA. H.GavinC. F.CoxC. D.JafariM.GallC. M.et al (2012). Synaptic evidence for the efficacy of spaced learning.Proc. Natl. Acad. Sci. U.S.A.1095121–5126. 10.1073/pnas.1120700109
44
LiuZ.WenX.XieX.LiuY.TanC.KuangS.et al (2024). The effects of transcranial magnetic stimulation for freezing of gait in Parkinson’s disease: A systematic review and meta-analysis of randomized controlled trials.Front. Aging Neurosci.16:1304852. 10.3389/fnagi.2024.1304852
45
LordS.RochesterL.HetheringtonV.AllcockL. M.BurnD. (2010). Executive dysfunction and attention contribute to gait interference in ‘off’ state Parkinson’s disease.Gait Posture31169–174. 10.1016/j.gaitpost.2009.09.019
46
LynchG.KramárE. A.BabayanA. H.RumbaughG.GallC. M. (2013). Differences between synaptic plasticity thresholds result in new timing rules for maximizing long-term potentiation.Neuropharmacology6427–36. 10.1016/j.neuropharm.2012.07.006
47
McCalleyD. M.LenchD. H.DoolittleJ. D.ImperatoreJ. P.HoffmanM.HanlonC. A. (2021). Determining the optimal pulse number for theta burst induced change in cortical excitability.Sci. Rep.118726. 10.1038/s41598-021-87916-2
48
MichelyJ.VolzL. J.BarbeM. T.HoffstaedterF.ViswanathanS.TimmermannL.et al (2015). Dopaminergic modulation of motor network dynamics in Parkinson’s disease.Brain138664–678. 10.1093/brain/awu381
49
MillerE. K.CohenJ. D. (2001). An integrative theory of prefrontal cortex function.Annu. Rev. Neurosci.24167–202. 10.1146/annurev.neuro.24.1.167
50
MirdamadiJ. L. (2016). Cerebellar role in Parkinson’s disease.J. Neurophysiol.116917–919. 10.1152/jn.01132.2015
51
MorganteL.MorganteF.MoroE.EpifanioA.GirlandaP.RagoneseP.et al (2007). How many parkinsonian patients are suitable candidates for deep brain stimulation of subthalamic nucleus? Results of a questionnaire.Parkinson. Related Disord.13528–531. 10.1016/j.parkreldis.2006.12.013
52
NaismithS. L.LewisS. J. G. (2010). A novel paradigm for modelling freezing of gait in Parkinson’s disease.J. Clin. Neurosci.17984–987. 10.1016/j.jocn.2009.12.006
53
NardoneR.VersaceV.BrigoF.GolaszewskiS.CarnicelliL.SaltuariL.et al (2020). Transcranial magnetic stimulation and gait disturbances in Parkinson’s disease: A systematic review.Neurophysiol. Clin.50213–225. 10.1016/j.neucli.2020.05.002
54
NuttJ. G.BloemB. R.GiladiN.HallettM.HorakF. B.NieuwboerA. (2011). Freezing of gait: moving forward on a mysterious clinical phenomenon.Lancet Neurol.10734–744. 10.1016/S1474-4422(11)70143-0
55
OverduinS. A.RichardsonA. G.LaneC. E.BizziE.PressD. Z. (2006). Intermittent practice facilitates stable motor memories.J. Neurosci..2611888–11892. 10.1523/JNEUROSCI.1320-06.2006
56
OwenA. M. (2004). Cognitive dysfunction in Parkinson’s disease: The role of frontostriatal circuitry.Neuroscientist10525–537. 10.1177/1073858404266776
57
PetersonD. S.FlingB. W.ManciniM.CohenR. G.NuttJ. G.HorakF. B. (2015). Dual-task interference and brain structural connectivity in people with Parkinson’s disease who freeze.J. Neurol. Neurosurg. Psychiatry86786–792. 10.1136/jnnp-2014-308840
58
PitcherD.ParkinB.WalshV. (2021). Transcranial magnetic stimulation and the understanding of behavior.Annu. Rev. Psychol.7297–121. 10.1146/annurev-psych-081120-013144
59
PlotnikM.DaganY.GurevichT.GiladiN.HausdorffJ. M. (2011). Effects of cognitive function on gait and dual tasking abilities in patients with Parkinson’s disease suffering from motor response fluctuations.Exp. Brain Res.208169–179. 10.1007/s00221-010-2469-y
60
Potvin-DesrochersA.PaquetteC. (2021). Potential non-invasive brain stimulation targets to alleviate freezing of gait in Parkinson’s disease.Neuroscience468366–376. 10.1016/j.neuroscience.2021.05.037
61
RahimpourS.GaztanagaW.YadavA. P.ChangS. J.KrucoffM. O.CajigasI.et al (2021). Freezing of Gait in Parkinson’s Disease: Invasive and Noninvasive Neuromodulation.Neuromodulation24829–842. 10.1111/ner.13347
62
RochesterL.HetheringtonV.JonesD.NieuwboerA.WillemsA.-M.KwakkelG.et al (2004). Attending to the task: Interference effects of functional tasks on walking in Parkinson’s disease and the roles of cognition, depression, fatigue, and balance11No party having a direct interest in the results of the research supporting this article has or will confer a benefit on the author(s) or on any organization with which the author(s) is/are associated.Arch. Phys. Med. Rehabil.851578–1585. 10.1016/j.apmr.2004.01.025
63
RubinoA.AssognaF.PirasF.Di BattistaM. E.ImperialeF.ChiapponiC.et al (2014). Does a volume reduction of the parietal lobe contribute to freezing of gait in Parkinson’s disease?Parkinson. Related Disord.201101–1103. 10.1016/j.parkreldis.2014.07.002
64
SalazarR. D.RenX.EllisT. D.ToraifN.BarthelemyO. J.NeargarderS.et al (2017). Dual tasking in Parkinson’s disease: Cognitive consequences while walking.Neuropsychology31613–623. 10.1037/neu0000331
65
SarterM.AlbinR. L.KucinskiA.LustigC. (2014). Where attention falls: Increased risk of falls from the converging impact of cortical cholinergic and midbrain dopamine loss on striatal function.Exp. Neurol.257120–129.
66
SarterM.AvilaC.KucinskiA.DonovanE. (2021). Make a left turn: Cortico-striatal circuitry mediating the attentional control of complex movements.Move. Disord.36535–546. 10.1002/mds.28532
67
SchallJ. D.BoucherL. (2007). Executive control of gaze by the frontal lobes.Cogn. Affect. Behav. Neurosci.7396–412. 10.3758/CABN.7.4.396
68
ShineJ. M.MatarE.WardP. B.FrankM. J.MoustafaA. A.PearsonM.et al (2013). Freezing of gait in Parkinson’s disease is associated with functional decoupling between the cognitive control network and the basal ganglia.Brain1363671–3681. 10.1093/brain/awt272
69
SiebnerH. R.FunkeK.AberraA. S.AntalA.BestmannS.ChenR.et al (2022). Transcranial magnetic stimulation of the brain: What is stimulated?−A consensus and critical position paper.Clin. Neurophysiol.2022:S1388245722002723. 10.1016/j.clinph.2022.04.022
70
SilvantoJ.CattaneoZ. (2014). “State-Dependent Transcranial Magnetic Stimulation (TMS) Protocols,” in Transcranial Magnetic Stimulation, edsRotenbergA.HorvathJ. C.Pascual-LeoneA. (New York, NY: Springer), 10.1007/978-1-4939-0879-0_9
71
SkidmoreF. M.RodriguezR. L.FernandezH. H.GoodmanW. K.FooteK. D.OkunM. S. (2006). Lessons learned in deep brain stimulation for movement and neuropsychiatric disorders.CNS Spect.11521–537. 10.1017/S1092852900013559
72
SmolenP.ZhangY.ByrneJ. H. (2016). The right time to learn: Mechanisms and optimization of spaced learning.Nat. Rev. Neurosci.1777–88. 10.1038/nrn.2015.18
73
StrafellaA.PausT.BarrettJ.DagherA. (2001). Repetitive transcranial magnetic stimulation of the human prefrontal cortex induces dopamine release in the caudate nucleus.J. Neurosci.21:RC157.
74
StrickP. L.DumR. P.RathelotJ.-A. (2021). The cortical motor areas and the emergence of motor skills: A neuroanatomical perspective.Annu. Rev. Neurosci.44425–447. 10.1146/annurev-neuro-070918-050216
75
StuartS.MorrisR.GiritharanA.QuinnJ.NuttJ. G.ManciniM. (2020). Prefrontal cortex activity and gait in Parkinson’s disease with cholinergic and dopaminergic therapy.Move. Disord.352019–2027. 10.1002/mds.28214
76
StuartS.VitorioR.MorrisR.MartiniD. N.FinoP. C.ManciniM. (2018). Cortical activity during walking and balance tasks in older adults and in people with Parkinson’s disease: A structured review.Maturitas11353–72. 10.1016/j.maturitas.2018.04.011
77
TakakusakiK. (2017). Functional neuroanatomy for posture and gait control.J. Move. Disord.101–17. 10.14802/jmd.16062
78
ThomsonA. C.De GraafT. A.KenisG.RuttenB. P. F.SchuhmannT.SackA. T. (2019). No additive meta plasticity effects of accelerated iTBS with short inter-session intervals.Brain Stimul.121301–1303. 10.1016/j.brs.2019.05.012
79
ThomsonA. C.SackA. T. (2020). How to design optimal accelerated rTMS protocols capable of promoting therapeutically beneficial metaplasticity.Front. Neurol.11:599918. 10.3389/fneur.2020.599918
80
Van Der ZeeS.KanelP.GerritsenM. J. J.BoertienJ. M.SlompA. C.MüllerM. L. T. M.et al (2022). Altered cholinergic innervation in de novo Parkinson’s disease with and without cognitive impairment.Move. Disord.37713–723. 10.1002/mds.28913
81
WischnewskiM.SchutterD. J. L. G. (2015). Efficacy and Time Course of Theta Burst Stimulation in Healthy Humans.Brain Stimul.8685–692. 10.1016/j.brs.2015.03.004
82
WuT.HallettM. (2013). The cerebellum in Parkinson’s disease.Brain136696–709. 10.1093/brain/aws360
83
XieY.-J.ChenY.TanH.-X.GuoQ.-F.LauB.-M.GaoQ. (2021). Repetitive transcranial magnetic stimulation for lower extremity motor function in patients with stroke: A systematic review and network meta-analysis.Neural Regener. Res.161168. 10.4103/1673-5374.300341
84
XieY. J.GaoQ.HeC. Q.BianR. (2020). Effect of repetitive transcranial magnetic stimulation on gait and freezing of gait in Parkinson disease: a systematic review and meta-analysis.Arch. Phys. Med. Rehabil.101130–140. 10.1016/j.apmr.2019.07.013
85
ZhouJ.ManorB.YuW.LoO.-Y.GouskovaN.SalvadorR.et al (2021). Targeted tDCS mitigates dual-task costs to gait and balance in older adults.Ann. Neurol.90428–439. 10.1002/ana.26156
Summary
Keywords
Parkinson disease, transcranial magnetic stimulation, plasticity, freezing of gait, cerebellum, prefrontal cortex, parietal cortex
Citation
Panda R, Deluisi JA, Lee TG, Davis S, Muñoz-Orozco I, Albin RL and Vesia M (2024) Improving efficacy of repetitive transcranial magnetic stimulation for treatment of Parkinson disease gait disorders. Front. Hum. Neurosci. 18:1445595. doi: 10.3389/fnhum.2024.1445595
Received
07 June 2024
Accepted
07 August 2024
Published
26 August 2024
Volume
18 - 2024
Edited by
Giorgio Bonmassar, Harvard Medical School, United States
Reviewed by
Matteo Bologna, Sapienza University of Rome, Italy
Updates

Check for updates
Copyright
© 2024 Panda, Deluisi, Lee, Davis, Muñoz-Orozco, Albin and Vesia.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Michael Vesia, mvesia@umich.edu
†These authors have contributed equally to this work and share first authorship
‡These authors have contributed equally to this work and share senior authorship
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.