Postural instability and gait disorders (PIGD) are debilitating phenomena that frequently impair locomotion and can significantly affect the quality of life in Parkinson’s disease (PD) patients (Perez-Lloret et al., 2014). PIGD is the most common cause of falls, which are associated with increase in morbimortality in PD (Bloem et al., 2004; Delval et al., 2014). Freezing of gait (FoG) is described as brief and episodic absence or marked reduction of the anterior progression of the feet, despite the intention to walk (Giladi and Nieuwboer, 2008). While taking a step forward in unsupported biped position, the body weight is shifted toward the supporting leg. Normal gait requires an exact coordination of postural adjustment in advance of each step forward, namely anticipatory postural adjustment (APA) (de Lima-Pardini et al., 2017). During imminent FoG episodes, the intention to walk is uncoupled from the triggering of APA, with consequent failure of the forward movement. This often results in knee trembling and failure to initiate gait. In PD, FoG episodes are associated with deficient APA (Mancini et al., 2016; Schlenstedt et al., 2018). Physiological evidence, functional imaging and clinical-pathological studies suggest that FoG is mainly associated with disorders of frontal cortical regions (e.g. supplementary motor area - SMA) that comprise a known brain circuitry dedicated to APA control (de Lima-Pardini et al., 2017; Jacobs et al., 2009a; Bolzoni et al., 2015).

The occurrence of FoG is highly influenced by attention, environmental triggers and dopaminergic drugs, suggesting the existence of complex mechanisms involving brainstem locomotor networks, the basal ganglia and cortical regions (Jacobs et al., 2009a; Deecke, 1987; Coelho and Teixeira, 2017). On the other hand, automatic balance control seems to be mediated mainly by brainstem circuits, being less sensitive to attentional and environmental disturbances (Horak and Diener, 1994).

Since the first experimental report from Fuentes et al. (Fuentes et al., 2009) showing that SCS could enhance locomotion in PD models in mice, and more recently in primates by possibly shifting the brain pathological oscillatory activity (Santana et al., 2014), SCS began to figure as a possible treatment for FoG in PD. Increasing evidence suggests that spinal cord stimulation (SCS) improves treatment-resistant postural and gait disorders in patients with PD (de Andrade et al., 2016; Nishioka and Nakajima, 2015; Yadav and Nicolelis, 2017). In primates, SCS increases neuronal firing of the primary motor cortex, and decreases pathological cortico-striatal synchronous low-frequency waves showing that SCS does influence the oscillatory activity in brain motor circuits (Fuentes et al., 2009; Bentley et al., 2016). In fact, SCS may disrupt the aberrant inhibition of the globus pallidus internus onto thalamus and SMA (Brudzynski et al., 1993; Takakusaki, 2017). As part of the circuit that controls APA, the SMA has cortifugal projections to pedunculopontine nuclei (PPN), a region particularly involved in gait initiation (Takakusaki, 2017; Aravamuthan et al., 2009). Since the activity of SMA, globus pallidus and PPN are impaired in patients with FoG (Snijders et al., 2016), SCS would be able to modulate this circuit and improve APA and gait initiation. Recently, our group reported positive effects of high-frequency SCS (300 Hz) on gait, improving the performance in various gait tests, which were reproduced during double-blinded assessments. Also, continuous SCS chronically reduced FoG episodes, improved unified Parkinson's disease rating scale (UPDRS)-III motor scale scores and of self-reported quality of life (Pinto de Souza et al., 2017). These results are in line with previous clinical observations and findings recorded in Parkinsonian animal models (Fuentes et al., 2009; Santana et al., 2014). Overall, these preliminary results (Pinto de Souza et al., 2017; Landi et al., 2013; Agari and Date, 2012) suggest that SCS may be a promising approach to attenuate gait disabilities generated by FoG. However, the mechanisms by which SCS affects FoG in PD patients remain unknown. So far, it has been shown that SCS can improve FoG in advanced stages of PD patients; however, the effects of SCS over APA and reactive balance control measurements in patients with PD with PIGD are still unknown. We hypothesize that SCS improves PIGD in patients with PD by improving balance. To test this hypothesis, we studied APA and reactive control of posture and balance using instrumental analysis.

During 300 Hz-SCS, all participants showed significant decrease of APA duration compared to OFF (Figure 1C) (p=0.042). For the 60 Hz-SCS, while participants 1 and 2 showed shortened APA duration, participants 3 and 4 showed increased APA duration as compared to the OFF condition, failing to show significance (p=0.866). Descriptive values of amplitude (peak) of APA showed increased values in all participants, except for the participant 4 at 60 Hz (Figure 1A), without reaching significance compared to OFF condition (p=0.177). The improvement in FoG observed in a preliminary report (Pinto de Souza et al., 2017) was reproduced in this trial with patients 2 and 3 showing significant reduction of FoG duration during 300 Hz SCS only (p=0.042). Patients 1 and 4 did not experience any FoG episodes during the biomechanical assessment in the Gait Laboratory in any condition (Figure 1B).

Figure 1

Download asset Open asset

Figure 2

Download asset Open asset

Considering the reactive postural control, the results of SCS over the amplitude of COM_ap and COP_ap did not show significant changes for 60 (p=0.860) and 300 Hz (p=0.220) when compared to OFF state. Note that subject two had higher COM_ap (worse performance) during both 60 Hz and 300 Hz SCS, and higher COP (worse performance) during 60 Hz SCS compared to OFF state.

While normal gait requires adequate coordination between the APA and limb movements (de Lima-Pardini et al., 2017), FoG episodes are thought to involve defective APA resulting in difficulty or cessation of gait initiation (Schlenstedt et al., 2018; Jacobs et al., 2009b). In the present study, data showed that SCS at 300 Hz was effective in reducing the duration of APA and reducing the time of FoG. Conversely, we observed that SCS at 60 Hz failed to improve gait and APA. Corroborating clinical results, there was no significant improvement in FoG in the present study, neither in our preliminary report when 60 Hz-SCS was applied (Pinto de Souza et al., 2017). Unexpectedly, two patients did not experience any FoG episodes during laboratory examination, even when SCS was OFF for a period longer than their carry-over effect lasted. Being the FoG an episodic phenomenon, even severe patients may not exhibit FoG in the laboratory (Nutt et al., 2011; Giladi et al., 2000). Conversely, the time of FoG was reduced in the other 2 subjects during 300 Hz SCS. In the previous report, we showed that all subjects did experience frequent FoG episodes and were responsive to 300 Hz SCS in the outpatient clinic (Pinto de Souza et al., 2017). Nonetheless, our findings suggest that SCS at 300 Hz is more effective than SCS at 60 Hz (both with pulse width at 90 μs and amplitudes at 105% of sensory threshold) in improving FoG and correcting APAs. However, recent studies have shown that SCS at higher density stimulation parameters (200–500 μs/30–130 Hz) also improved gait and FoG in PD patients (Samotus et al., 2018) or at 70–100 Hz in primary freezing of gait when applied at T8-T10 spinal segments (Rohani et al., 2017). Yet, none of the reports presented data on SCS at higher frequencies such as 300 Hz. Earlier reports also show that SCS improved gait but these studies did not employ a systematic assessment of gait, posture and FoG, comparing different stimulation frequencies as we showed here (de Andrade et al., 2016).

Circuits involving the supplementary motor area (SMA) are thought to modulate APA (Takakusaki, 2017), specifically in its timing (Jacobs et al., 2009a). Our results showed that timing, but not amplitude of APA was improved by SCS at 300 Hz, which could indicate that motor circuits involving SMA were also influenced. Although data showing that SCS directly modulates SMA still lacks, extensive data show that SCS modulates cortical function of primary sensory and motor areas, in addition to the prefrontal, cingulate and insula cortices, and thalamus in humans and animals (Fuentes et al., 2009; Santana et al., 2014; Bentley et al., 2016; Stancák et al., 2008). Inputs from ascending leminiscal and extralemniscal pathways to the brainstem and thalamus that may modulate SMA are also highly connected to the pedunculopontine nucleus (PPN), a locomotor region in the brainstem involved in the control of movement initiation and body equilibrium (Takakusaki, 2017). It is thought that ascending stimulation of the thalamic-cortical-striatum loop delivered by SCS may disrupt the aberrant inhibition of the globus pallidus internus onto thalamus and PPN, facilitating the reticulospinal tract and, consequently, activating central pattern generators (CPG) in the spinal cord (Brudzynski et al., 1993; Takakusaki, 2017). According to previous studies in animals, facilitation of the thalamic-cortical-striatum loop occurs due to the inhibition of abnormal synchronous beta frequency neuronal oscillations (Fuentes et al., 2009; Santana et al., 2014; Yadav and Nicolelis, 2017).

We also observed that the reactive posture control was not affected by SCS in both conditions. In fact, one of the participants showed poorer reactive postural control in both stimulation frequencies, but still exhibiting positive response in APA and FoG. While a case study also found improvements in gait with no changes in reactive postural control after SCS (Landi et al., 2013), another report showed an effect of SCS in reactive postural responses (Agari and Date, 2012). These studies, however, assessed responses to perturbation by the pull test, which is a qualitative measurement influenced by a subjective impression of the evaluator. Here, we show a more robust and reliable kinetic analysis of postural control. It is worth noting that we employed a systematic method to quantify FoG, considered more reliable than the Freezing of Gait Questionnaire (Giladi et al., 2000) alone. Based on the present data and in our previous results, SCS apparently improves FoG and APA and does not influence reactive posture control. It is possible that SCS might differently affect these two mechanisms of postural control – reactive and anticipatory. APA mechanisms are dependent of thalamo-cortical-striatum loops highly influenced by attentional and environmental changes (Takakusaki, 2017; Jacobs and Horak, 2007). On the other hand, unlike APAs, reactive posture control to external and unpredictable triggers relies on neuronal circuitries involving the brainstem and spinal cord with less cortical influence from the cortex (Jacobs and Horak, 2007; Honeycutt et al., 2009). It is possible that circuits that depend on cortical influence are more sensitive to SCS, given the increasing in cortical input to the striatum that reaches structures involved in planning of movement, required during APAs but not during unpredictable external perturbations (Krishnamurthi et al., 2012; Bleuse et al., 2011; Liu et al., 2006). Similarly to what have been found for DBS, our results suggest that SCS did not improve reactive postural control (St George et al., 2012). Although there is evidence that DBS initially improves FoG and gait (Schlenstedt et al., 2017), biomechanical and laboratory findings on APA are still conflicting. A few studies show that DBS impairs APA during step initiation (Muniz et al., 2010) even when administered in the ON levodopa state (Rocchi et al., 2012). These results suggest that continuous stimulation of circuits in the subthalamic region may lead to plastic changes that impaired step initiation. While DBS corrects cardinal symptoms of PD and dyskinesias, it does not seem to substantially affect APA and FoG. In contrast, SCS can improve FoG and APA in both DBS ON and OFF medication conditions. These collective results suggest that SCS and DBS could be mechanistically and clinically complementary.

In conclusion, our findings suggest that the effects of SCS observed clinically in FOG are followed by an improvement in APA during step initiation, but not by changes in reactive postural control. We note, however, that our findings were recorded in a small number of participants. In the future, following clinical trials with larger sample, the use of similar methods of instrumented posture and gait assessment, may possibly contribute to better understanding the effects of SCS in different gait and postural situations.

The study was approved by the department review board and in the ethics committee at Hospital das Clinicas of University of São Paulo and registered in the national clinical research database (CAPPESQ-HCFMUSP #12690213.0.0000.0068), which requires all participants to be previously instructed about the procedures and to give written informed consent prior to study inclusion. Patients included in the present study participated in the clinical trial also registered in the clinicaltrials.gov (#NCT02388204). All experiments were performed in accordance with the Declaration of Helsinki (World Medical Association, 2002). Four patients with PIGD previously treated with bilateral STN DBS were implanted with SCS systems in the upper thoracic spine (T2-T4) (Pinto de Souza et al., 2017). Patients were tested for the effects of SCS on APA, and postural reactive responses related to postural and balance control. Assessments were performed in the following conditions: (Perez-Lloret et al., 2014) OFF SCS; (Bloem et al., 2004) ON SCS at 60 Hz; and (Delval et al., 2014) ON SCS at 300 Hz with or without medication (ON/OFF meds) for at least 12 hr. These conditions were randomized and tested at least one week apart. 60 Hz SCS and 300 Hz were applied as active condition since they generated undistinguished paresthesias, but in average 60 Hz exerted no significant effects in gait, while 300 Hz elicited substantial improvement (Pinto de Souza et al., 2017).

All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for Figures 1 and 2.

1. 1. Agari T
   2. Date I

   (2012) Spinal cord stimulation for the treatment of abnormal posture and gait disorder in patients with Parkinson's disease

   Neurologia medico-chirurgica 52:470–474.

   https://doi.org/10.2176/nmc.52.470

   • PubMed
   • Google Scholar
2. 1. Aravamuthan BR
   2. McNab JA
   3. Miller KL
   4. Rushworth M
   5. Jenkinson N
   6. Stein JF
   7. Aziz TZ

   (2009) Cortical and subcortical connections within the pedunculopontine nucleus of the primate Macaca mulatta determined using probabilistic diffusion tractography

   Journal of Clinical Neuroscience 16:413–420.

   https://doi.org/10.1016/j.jocn.2008.03.018

   • PubMed
   • Google Scholar
3. 1. Bentley LD
   2. Duarte RV
   3. Furlong PL
   4. Ashford RL
   5. Raphael JH

   (2016) Brain activity modifications following spinal cord stimulation for chronic neuropathic pain: A systematic review

   European Journal of Pain 20:499–511.

   https://doi.org/10.1002/ejp.782

   • PubMed
   • Google Scholar
4. 1. Bleuse S
   2. Delval A
   3. Blatt JL
   4. Derambure P
   5. Destée A
   6. Defebvre L

   (2011) Effect of bilateral subthalamic nucleus deep brain stimulation on postural adjustments during arm movement

   Clinical Neurophysiology 122:2032–2035.

   https://doi.org/10.1016/j.clinph.2011.02.034

   • PubMed
   • Google Scholar
5. 1. Bloem BR
   2. Hausdorff JM
   3. Visser JE
   4. Giladi N

   (2004) Falls and freezing of gait in Parkinson's disease: a review of two interconnected, episodic phenomena

   Movement Disorders 19:871–884.

   https://doi.org/10.1002/mds.20115

   • PubMed
   • Google Scholar
6. 1. Bolzoni F
   2. Bruttini C
   3. Esposti R
   4. Castellani C
   5. Cavallari P

   (2015) Transcranial direct current stimulation of SMA modulates anticipatory postural adjustments without affecting the primary movement

   Behavioural Brain Research 291:407–413.

   https://doi.org/10.1016/j.bbr.2015.05.044

   • PubMed
   • Google Scholar
7. 1. Brudzynski SM
   2. Wu M
   3. Mogenson GJ

   (1993) Decreases in rat locomotor activity as a result of changes in synaptic transmission to neurons within the mesencephalic locomotor region

   Canadian Journal of Physiology and Pharmacology 71:394–406.

   https://doi.org/10.1139/y93-060

   • PubMed
   • Google Scholar
8. 1. Coelho DB
   2. Teixeira LA

   (2017) Cognition and balance control: does processing of explicit contextual cues of impending perturbations modulate automatic postural responses?

   Experimental Brain Research 235:2375–2390.

   https://doi.org/10.1007/s00221-017-4980-x

   • PubMed
   • Google Scholar
9. 1. de Andrade EM
   2. Ghilardi MG
   3. Cury RG
   4. Barbosa ER
   5. Fuentes R
   6. Teixeira MJ
   7. Fonoff ET

   (2016) Spinal cord stimulation for parkinson's disease: a systematic review

   Neurosurgical Review 39:27–35.

   https://doi.org/10.1007/s10143-015-0651-1

   • PubMed
   • Google Scholar
10. 1. de Lima-Pardini AC
    2. de Azevedo Neto RM
    3. Coelho DB
    4. Boffino CC
    5. Shergill SS
    6. de Oliveira Souza C
    7. Brant R
    8. Barbosa ER
    9. Cardoso EF
    10. Teixeira LA
    11. Cohen RG
    12. Horak FB
    13. Amaro E

    (2017) An fMRI-compatible force measurement system for the evaluation of the neural correlates of step initiation

    Scientific Reports 7:43088.

    https://doi.org/10.1038/srep43088

    • PubMed
    • Google Scholar
11. 1. Deecke L

    (1987)

    Bereitschaftspotential as an Indicator of movement preparation in supplementary motor area and motor cortex

    Ciba Foundation Symposium 132:231–250.

    • PubMed
    • Google Scholar
12. 1. Delval A
    2. Tard C
    3. Defebvre L

    (2014) Why we should study gait initiation in Parkinson's disease

    Neurophysiologie Clinique/Clinical Neurophysiology 44:69–76.

    https://doi.org/10.1016/j.neucli.2013.10.127

    • Google Scholar
13. 1. Fuentes R
    2. Petersson P
    3. Siesser WB
    4. Caron MG
    5. Nicolelis MA

    (2009) Spinal cord stimulation restores locomotion in animal models of Parkinson's disease

    Science 323:1578–1582.

    https://doi.org/10.1126/science.1164901

    • PubMed
    • Google Scholar
14. 1. Giladi N
    2. Nieuwboer A

    (2008) Understanding and treating freezing of gait in parkinsonism, proposed working definition, and setting the stage

    Movement Disorders 23 Suppl 2:S423–S425.

    https://doi.org/10.1002/mds.21927

    • PubMed
    • Google Scholar
15. 1. Giladi N
    2. Shabtai H
    3. Simon ES
    4. Biran S
    5. Tal J
    6. Korczyn AD

    (2000) Construction of freezing of gait questionnaire for patients with Parkinsonism

    Parkinsonism & Related Disorders 6:165–170.

    https://doi.org/10.1016/S1353-8020(99)00062-0

    • PubMed
    • Google Scholar
16. 1. Honeycutt CF
    2. Gottschall JS
    3. Nichols TR

    (2009) Electromyographic responses from the hindlimb muscles of the decerebrate cat to horizontal support surface perturbations

    Journal of Neurophysiology 101:2751–2761.

    https://doi.org/10.1152/jn.91040.2008

    • PubMed
    • Google Scholar
17. 1. Horak FB
    2. Diener HC

    (1994) Cerebellar control of postural scaling and central set in stance

    Journal of Neurophysiology 72:479–493.

    https://doi.org/10.1152/jn.1994.72.2.479

    • PubMed
    • Google Scholar
18. 1. Jacobs JV
    2. Horak FB

    (2007) Cortical control of postural responses

    Journal of Neural Transmission 114:1339–1348.

    https://doi.org/10.1007/s00702-007-0657-0

    • Google Scholar
19. 1. Jacobs JV
    2. Lou JS
    3. Kraakevik JA
    4. Horak FB

    (2009a) The supplementary motor area contributes to the timing of the anticipatory postural adjustment during step initiation in participants with and without Parkinson's disease

    Neuroscience 164:877–885.

    https://doi.org/10.1016/j.neuroscience.2009.08.002

    • PubMed
    • Google Scholar
20. 1. Jacobs JV
    2. Nutt JG
    3. Carlson-Kuhta P
    4. Stephens M
    5. Horak FB

    (2009b) Knee trembling during freezing of gait represents multiple anticipatory postural adjustments

    Experimental Neurology 215:334–341.

    https://doi.org/10.1016/j.expneurol.2008.10.019

    • PubMed
    • Google Scholar
21. 1. Krishnamurthi N
    2. Mulligan S
    3. Mahant P
    4. Samanta J
    5. Abbas JJ

    (2012) Deep brain stimulation amplitude alters posture shift velocity in Parkinson's disease

    Cognitive Neurodynamics 6:325–332.

    https://doi.org/10.1007/s11571-012-9201-5

    • PubMed
    • Google Scholar
22. 1. Landi A
    2. Trezza A
    3. Pirillo D
    4. Vimercati A
    5. Antonini A
    6. Sganzerla EP

    (2013) Spinal cord stimulation for the treatment of sensory symptoms in advanced Parkinson's Disease

    Neuromodulation: Technology at the Neural Interface 16:276–279.

    https://doi.org/10.1111/ner.12005

    • Google Scholar
23. 1. Liu W
    2. McIntire K
    3. Kim SH
    4. Zhang J
    5. Dascalos S
    6. Lyons KE
    7. Pahwa R

    (2006) Bilateral subthalamic stimulation improves gait initiation in patients with Parkinson's disease

    Gait & Posture 23:492–498.

    https://doi.org/10.1016/j.gaitpost.2005.06.012

    • PubMed
    • Google Scholar
24. 1. Mancini M
    2. Chiari L
    3. Holmstrom L
    4. Salarian A
    5. Horak FB

    (2016) Validity and reliability of an IMU-based method to detect APAs prior to gait initiation

    Gait & Posture 43:125–131.

    https://doi.org/10.1016/j.gaitpost.2015.08.015

    • PubMed
    • Google Scholar
25. 1. Moore ST
    2. MacDougall HG
    3. Ondo WG

    (2008) Ambulatory monitoring of freezing of gait in Parkinson's disease

    Journal of Neuroscience Methods 167:340–348.

    https://doi.org/10.1016/j.jneumeth.2007.08.023

    • PubMed
    • Google Scholar
26. 1. Moore ST
    2. Yungher DA
    3. Morris TR
    4. Dilda V
    5. MacDougall HG
    6. Shine JM
    7. Naismith SL
    8. Lewis SJ

    (2013) Autonomous identification of freezing of gait in Parkinson's disease from lower-body segmental accelerometry

    Journal of NeuroEngineering and Rehabilitation 10:19.

    https://doi.org/10.1186/1743-0003-10-19

    • PubMed
    • Google Scholar
27. Conference

    1. Muniz AS
    2. Liu W
    3. Liu H
    4. Lyons KE
    5. Pahwa R
    6. Nadal J

    (2010)

    Gait initiation evaluation after deep brain stimulation for Parkinson's disease: A 7-year follow-up

    IEEE Engineering in Medicine and Biology Society. Annual Conference. pp. 3650–3653.

    • Google Scholar
28. 1. Nishioka K
    2. Nakajima M

    (2015) Beneficial therapeutic effects of spinal cord stimulation in advanced cases of Parkinson's Disease With Intractable Chronic Pain: A Case Series

    Neuromodulation: Technology at the Neural Interface 18:751–753.

    https://doi.org/10.1111/ner.12315

    • Google Scholar
29. 1. Nutt JG
    2. Bloem BR
    3. Giladi N
    4. Hallett M
    5. Horak FB
    6. Nieuwboer A

    (2011) Freezing of gait: moving forward on a mysterious clinical phenomenon

    The Lancet Neurology 10:734–744.

    https://doi.org/10.1016/S1474-4422(11)70143-0

    • PubMed
    • Google Scholar
30. 1. Perez-Lloret S
    2. Negre-Pages L
    3. Damier P
    4. Delval A
    5. Derkinderen P
    6. Destée A
    7. Meissner WG
    8. Schelosky L
    9. Tison F
    10. Rascol O

    (2014) Prevalence, determinants, and effect on quality of life of freezing of gait in parkinson disease

    JAMA Neurology 71:884–890.

    https://doi.org/10.1001/jamaneurol.2014.753

    • PubMed
    • Google Scholar
31. 1. Pinto de Souza C
    2. Hamani C
    3. Oliveira Souza C
    4. Lopez Contreras WO
    5. Dos Santos Ghilardi MG
    6. Cury RG
    7. Reis Barbosa E
    8. Jacobsen Teixeira M
    9. Talamoni Fonoff E

    (2017) Spinal cord stimulation improves gait in patients with Parkinson's disease previously treated with deep brain stimulation

    Movement Disorders 32:278–282.

    https://doi.org/10.1002/mds.26850

    • PubMed
    • Google Scholar
32. 1. Rocchi L
    2. Carlson-Kuhta P
    3. Chiari L
    4. Burchiel KJ
    5. Hogarth P
    6. Horak FB

    (2012) Effects of deep brain stimulation in the subthalamic nucleus or globus pallidus internus on step initiation in Parkinson disease: laboratory investigation

    Journal of Neurosurgery 117:1141–1149.

    https://doi.org/10.3171/2012.8.JNS112006

    • PubMed
    • Google Scholar
33. 1. Rohani M
    2. Kalsi-Ryan S
    3. Lozano AM
    4. Fasano A

    (2017) Spinal cord stimulation in primary progressive freezing of gait

    Movement Disorders 32:1336–1337.

    https://doi.org/10.1002/mds.27103

    • PubMed
    • Google Scholar
34. 1. Samotus O
    2. Parrent A
    3. Jog M

    (2018) Spinal cord stimulation therapy for gait dysfunction in advanced Parkinson's Disease Patients

    Movement Disorders 33:783–792.

    https://doi.org/10.1002/mds.27299

    • PubMed
    • Google Scholar
35. 1. Santana MB
    2. Halje P
    3. Simplício H
    4. Richter U
    5. Freire MAM
    6. Petersson P
    7. Fuentes R
    8. Nicolelis MAL

    (2014) Spinal cord stimulation alleviates motor deficits in a primate model of Parkinson disease

    Neuron 84:716–722.

    https://doi.org/10.1016/j.neuron.2014.08.061

    • PubMed
    • Google Scholar
36. 1. Schlenstedt C
    2. Mancini M
    3. Nutt J
    4. Hiller AP
    5. Maetzler W
    6. Deuschl G
    7. Horak F

    (2018) Are hypometric anticipatory postural adjustments contributing to freezing of gait in Parkinson's Disease?

    Frontiers in Aging Neuroscience 10:36.

    https://doi.org/10.3389/fnagi.2018.00036

    • PubMed
    • Google Scholar
37. 1. Schlenstedt C
    2. Shalash A
    3. Muthuraman M
    4. Falk D
    5. Witt K
    6. Deuschl G

    (2017) Effect of high-frequency subthalamic neurostimulation on gait and freezing of gait in Parkinson's disease: a systematic review and meta-analysis

    European Journal of Neurology 24:18–26.

    https://doi.org/10.1111/ene.13167

    • PubMed
    • Google Scholar
38. 1. Snijders AH
    2. Takakusaki K
    3. Debu B
    4. Lozano AM
    5. Krishna V
    6. Fasano A
    7. Aziz TZ
    8. Papa SM
    9. Factor SA
    10. Hallett M

    (2016) Physiology of freezing of gait

    Annals of Neurology 80:644–659.

    https://doi.org/10.1002/ana.24778

    • PubMed
    • Google Scholar
39. 1. St George RJ
    2. Carlson-Kuhta P
    3. Burchiel KJ
    4. Hogarth P
    5. Frank N
    6. Horak FB

    (2012) The effects of subthalamic and pallidal deep brain stimulation on postural responses in patients with Parkinson disease

    Journal of Neurosurgery 116:1347–1356.

    https://doi.org/10.3171/2012.2.JNS11847

    • PubMed
    • Google Scholar
40. 1. Stancák A
    2. Kozák J
    3. Vrba I
    4. Tintera J
    5. Vrána J
    6. Polácek H
    7. Stancák M

    (2008) Functional magnetic resonance imaging of cerebral activation during spinal cord stimulation in failed back surgery syndrome patients

    European Journal of Pain 12:137–148.

    https://doi.org/10.1016/j.ejpain.2007.03.003

    • PubMed
    • Google Scholar
41. 1. Takakusaki K

    (2017) Functional neuroanatomy for posture and gait control

    Journal of Movement Disorders 10:1–17.

    https://doi.org/10.14802/jmd.16062

    • PubMed
    • Google Scholar
42. Book

    1. Winter DA

    (1991)

    The Biomechanics and Motor Control of Human Gait: Normal, Elderly and Pathological

    Waterloo: University of Waterloo Press.

    • Google Scholar
43. 1. World Medical Association

    (2002)

    World medical association declaration of Helsinki. ethical principles for medical research involving human subjects

    Bulletin of the World Health Organization 79:373–374.

    • Google Scholar
44. 1. Yadav AP
    2. Nicolelis MAL

    (2017) Electrical stimulation of the dorsal columns of the spinal cord for Parkinson's disease

    Movement Disorders 32:820–832.

    https://doi.org/10.1002/mds.27033

    • PubMed
    • Google Scholar

Author details

1. Andrea Cristina de Lima-Pardini

   Centre of Mathematics, Computation and Cognition, Federal University of ABC, São Paulo, Brazil

   Contribution

   Conceptualization, Data curation, Validation, Investigation, Visualization, Methodology, Writing—original draft, Writing—review and editing

   Contributed equally with

   Daniel Boari Coelho

   For correspondence

   andrea.cristina@ufabc.edu.br

   Competing interests

   No competing interests declared

2. Daniel Boari Coelho

   1. Human Motor Systems Laboratory, School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil
   2. Biomedical Engineering, Federal University of ABC, São Paulo, Brazil

   Contribution

   Conceptualization, Data curation, Software, Formal analysis, Methodology, Writing—original draft, Writing—review and editing

   Contributed equally with

   Andrea Cristina de Lima-Pardini

   For correspondence

   daniel.boari@ufabc.edu.br

   Competing interests

   No competing interests declared

   "This ORCID iD identifies the author of this article:" 0000-0001-8758-6507

3. Carolina Pinto Souza

   Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil

   Contribution

   Conceptualization, Data curation, Investigation, Writing—original draft, Writing—review and editing

   Competing interests

   No competing interests declared

4. Carolina Oliveira Souza

   Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil

   Contribution

   Conceptualization, Methodology, Writing—review and editing

   Competing interests

   No competing interests declared

5. Maria Gabriela dos Santos Ghilardi

   Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil

   Contribution

   Conceptualization, Methodology, Writing—review and editing

   Competing interests

   No competing interests declared

6. Tiago Garcia

   Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil

   Contribution

   Conceptualization, Methodology, Writing—review and editing

   Competing interests

   No competing interests declared

7. Mariana Voos

   Department of Physical Therapy, Speech and Occupational Therapy, School of Medicine, University of São Paulo, São Paulo, Brazil

   Contribution

   Methodology, Writing—review and editing

   Competing interests

   No competing interests declared

8. Matija Milosevic

   Department of Life Sciences, Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan

   Contribution

   Conceptualization, Methodology, Writing—review and editing

   Competing interests

   No competing interests declared

9. Clement Hamani

   1. Division of Neurosurgery, Sunnybrook Research Institute, Harquail Centre for Neuromodulation, University of Toronto, Toronto, Canada
   2. Division of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, Canada

   Contribution

   Supervision, Writing—review and editing

   Competing interests

   No competing interests declared

10. Luis Augusto Teixeira

    Human Motor Systems Laboratory, School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil

    Contribution

    Resources, Supervision, Funding acquisition, Writing—review and editing

    Competing interests

    No competing interests declared

11. Erich Talamoni Fonoff

    Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil

    Contribution

    Conceptualization, Resources, Supervision, Funding acquisition, Project administration, Writing—review and editing

    For correspondence

    fonoffet@usp.br

    Competing interests

    No competing interests declared

• 2,468

  views

• 435

  downloads

• 45

  citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.