Gait Disturbance Associated with Cholinergic Dysfunction in Early Parkinson's Disease
Received: 17-Jul-2017 / Accepted Date: 09-Aug-2017 / Published Date: 16-Aug-2017 DOI: 10.4172/2161-0460.1000363
Abstract
Objective: The pathophysiology of gait disturbance in early Parkinson’s disease (PD) is not fully understood, but cholinergic dysfunction may be associated with gait disturbance. Central cholinergic activity is closely related with olfaction in PD and it can be estimated with short-latency afferent inhibition (SAI). We hypothesize that cholinergic dysfunction, especially olfactory dysfunction, could be associated with gait disturbance in early PD.
Methods: A total of 57 early PD patients were enrolled. Olfaction was examined using the Korean version of the Sniffin’ stick (KVSS) test. The PD patients were grouped as anosmia, hyposmia and normosmia according to the KVSS score. The gait parameters examined during 10 m of gait. SAI was measured by conditioning motor-evoked potentials, elicited by single transmagnetic stimulation (TMS) of the motor cortex, with electrical stimuli delivered to the contralateral median nerve at intervals ranging from N20 to N20+4 ms.
Results: The SAI response (N20 to N20+4 ms) and integrated SAI were less inhibited in PD for the anosmia and hyposmia groups than for the normosmia group (for all values, p<0.01). In the PD anosmia group, the walking time was longer and more steps were taken during the 10 m gait than in the PD hyposmia and normosmia groups (p=0.01, p<0.01). In addition, gait speed was slower and stride length was shorter in the PD anosmia group than in the other groups (p=0.01, p<0.01). The TDI score was an independent factor that showed a correlation (R2=0.261, 0.257) with gait speed in PD patients. A reduced TDI score was an independent determinant of reduced gait speed, explaining 25% of the variability even after correction of various factors related to cholinergic dysfunction.
Conclusion: Central cholinergic system influences cognition, gait, and olfaction in the early stage of PD.
Keywords: Parkinson’s disease; Gait disturbance; Olfaction; Short latency afferent inhibition (SAI)
Introduction
Parkinson’s disease (PD) is often referred to as Parkinson’s complex because its pathology involves various central and peripheral nervous systems, and various motor and non-motor symptoms have been shown [1]. It is well known that motor symptoms of PD are caused by dopaminergic neuronal loss in substantia nigra pars compacta (SNpc); on the other hand, non-motor symptoms of PD are more complex and impair various neurotransmitters such as serotonin, acetylcholine and norepinephrine [2]. As the disease progresses, gait disturbance and falling are the most disabling symptoms; however, it is infrequently observed in the early stage and de novo PD patients [3]. Therefore, it is not clear that dopaminergic cell loss in the SNpc involves gait disturbance as a whole in accordance with PD stage. Dopaminergic treatment improves the motor symptoms of PD, but axial symptoms such as gait disturbance do not respond well [4]. Recent studies proposed that the non-dopaminergic pathway, especially the cholinergic pathway, is an important contributor to gait disturbance in PD [5-7], although the influence and role of cholinergic dysfunction in gait is not yet fully known.
Olfactory dysfunction is a common non-motor symptom that is involved in the initial stage of PD [8], but its pathophysiology is unclear. It is considered that neuronal degeneration with deposition of α-synuclein within the olfactory bulb and nucleus might be affected [9]. Recently, olfaction has been associated well with central cholinergic function and it could be estimated via short-latency afferent inhibition (SAI) [10]. SAI is a neurophysiological tool that evaluates sensory motor cortex excitability by time-locked coupling of peripheral nerve and motor cortex stimulation [11]. SAI is used as a central cholinergic marker in PD patients with various symptoms such as cognitive impairment, visual hallucination, rapid eye movement (REM), sleep behavior disorder (RBD), olfaction and gait disturbance [7,10,12-14]. Rochester et al reported that central cholinergic dysfunction is closely associated with gait disturbance in early PD patients [7]. In addition, gait disturbance and postural instability have been associated with cholinergic degeneration in a PET study among faller, non-faller and controls [15]. In this study, we hypothesized that cholinergic dysfunction might be associated with gait dysfunction in early PD patients and analyzed the hierarchical central cholinergic activity quantitatively using an olfactory test and SAI.
Patients and Methods
Patients and clinical assessment
We enrolled 62 PD patients, who visited the movement disorder clinic at Chungnam National University Hospital from October, 2015 to May, 2017. All of the participants were diagnosed as probable PD by the United Kingdom Parkinson’s Disease Society Brain Bank criteria. Among them, 5 participants who did not agree to the informed consent or withdrew consent were excluded. We also excluded patients who were diagnosed with atypical or secondary Parkinsonism. The study was approved by the local ethical committee and informed consent was obtained for all of the participants. This study was designed as a crosssectional prospective study.
The inclusion criteria were 1) subjects who did not have significant cognitive impairment that interfered with activity of daily living (ADL) and 2) early PD patients below Hoehn and Yahr (H&Y) stage 3. The exclusion criteria were those who 1) had a history of nasolabial problems such as chronic sinusitis, allergic rhinitis, and nasal trauma and also had an obstructive lesion by otorhinolaryngologic examination with flexible fiberoptic laryngoscope, 2) observed bilateral resting hand tremor, and 3) used medications such as acetylcholinesterase inhibitors, benzodiazepine, anticholinergics and gabapentin. Basic demographic data, including gender, onset age, disease duration, type of Parkinsonism were recorded. All of the PD patients performed the Korean version of the Sniffin’ stick (KVSS) test. The disease severity was evaluated using the United Parkinson’s Disease Rating Scale (UPDRS) part III and H&Y stage. Cognitive function and depression were evaluated with the Korean version of the Mini-Mental Status Examination (K-MMSE), Korean version of Montreal Cognitive Assessment (K-MoCA), and Beck depression inventory (BDI).
Gait parameters
Gait assessment was performed at medication “on” state (after 1 h of dopaminergic medication) and average time (s) and number of steps taken during a 10 m walk were assessed three consecutive times in all participants. We analyzed items including walking time, number of steps, gait speed, stride length, and stride time during the 10 m walk in the same place without any obstacles. We excluded patients who had gait issues resulting from musculoskeletal or joint problems and those who showed freezing of gait.
Olfactory function assessment
The Korean version of the Sniffin’ stick (KVSS)-II test was used to measure olfactory function. The KVSS test is a modified version of the Sniffin’ stick test, and it is validated and frequently used in South Korea [16]. KVSS-II consists of three subgroup tests, including the odor threshold test, odor discriminatory test and odor identification test. For odor presentation, pens similar to Sniffin’ sticks were used. The pen was filled with liquid odorants and the cap was removed by the examiner for 3 s and the tip of pen was placed 2 cm in front of the nostrils. The odor identification test consists of 16 items. Subjects select one of four odor items in an unknown state. From item to item, the test interval was 30 s. The sum of the 16 items was calculated as the odor identification score (ranging from 0 to 16). We divided the three PD groups as normosmia (above 27.25), hyposmia (20.25~27) and anosmia (below 20) by the KVSS score [16].
Short latency afferent inhibition
SAI was analyzed to quantify central cholinergic function. The protocol of SAI is based on previously reported methods [17]. Conventional transmagnetic stimulation (TMS) parameters were assessed using a Magstim magnetic stimulator (Magstim Company, Dyfed, UK). Initially, we obtained a control motor-evoked potential (MEP) without peripheral nerve stimulation. Next, conditioned MEP was investigated by conditioned stimuli delivered to the median nerve preceding cortical TMS with various inter-stimulus intervals (ISIs). ISIs was determined relative to the N20 latency obtained by somatosensoryevoked potential (SEP). Five hundred sweep signals were averaged to determine the latency of N20. Five inter-stimulus intervals were used to evaluate SAI (N20, N20+1 ms, N20+2 ms, N20+3 ms, and N20+4 ms) and ten cortical stimuli with median nerve stimuli at the wrist were performed at each ISI. The peak-to-peak conditioned MEPs were averaged at each interval and regarded as test MEPs. Test MEPs were expressed as the percentage of control MEPs and conditioned response at five ISIs were also averaged to obtain the grand mean. The mean inhibition percentage of test MEP amplitude to control MEP was regarded as SAI. All subjects were subjected to visual-audio feedback with EMG monitoring to maintain maximal relaxation, and optimal dopaminergic medication was maintained to obtain complete relaxation. Recordings were performed on the non-symptomatic arm or the arm on the side where no tremors are observed by surface EMG.
Statistics
All data were analyzed with a statistical software program (SPSS 22.0, Chicago, IL, USA). Categorical variables (demographic data, electrophysiologic data, and gait parameters in three subgroup of PD) were compared using the Mann-Whitney U test, and Kruskal- Wallis test. Pairwise comparison was used for post hoc analysis. Pearson product correlation coefficients were calculated to analyze the association between gait speed and factors related to cholinergic dysfunction. All data are expressed as means and standard deviations unless otherwise noted.
Results
A total of 62 patients were selected initially, among them, 57 patients agreed to informed consent and participated. PD patients were grouped using KVSS as anosmia (n=16), hyposmia (n=19), or normosmia (n=22). Comparison of baseline clinical and demographic profiles including onset age, disease duration, severity (UPDRS-III, H&Y stage) and type of PD, education and K-MoCA showed no significant differences (Table 1). There were more female than male patients enrolled in all groups. BDI was higher in the anosmia than in the normosmia group (p=0.01). The K-MMSE score was significantly lower in the anosmia PD group compared with those of in the other groups (p=0.02). Olfactory function using the KVSS test showed a hierarchical level among the 3 groups. In the post hoc analysis, the TDI score in the anosmia group was lower than those in the hyposmia and normosmia groups. The electrophysiological parameters obtained by conventional TMS and SAI among the 3 groups were described in (Table 2). RMT, CMCT, MEPAR and N20 were not significantly different among the 3 groups. In contrast, analysis of the SAI responses in the five interstimulus intervals (N20, N20+1 ms, N20+2 ms, N20+3 ms, N20+4 ms) and integrated SAI revealed significant differences among the 3 groups (PD with anosmia>PD with hyposmia>PD with normosmia; p<0.01). In the post hoc analysis, five inter-stimulus intervals and the integrated SAI response of the anosmia group were higher than those of the normosmia group. In Table 3, gait characteristics of the three PD groups, dependent on the degree of olfactory function, were described. Walking time, number of steps, gait speed and stride length were significantly different among the PD groups (p=0.01, <0.001, 0.001 and <0.001, respectively). In the post hoc analysis, the aforementioned gait parameters showed significant differences for the anosmia group than those for the hyposmia and normosmia groups. In the correlation analysis, integrated SAI, TDI score, K-MMSE, UPDRS-III, and age showed significant correlations with the walking speed in PD patients (Table 4A). In multiple linear regression analysis, we corrected the variables related to cholinergic dysfunction (K-MMSE, K-MoCA and integrated SAI). Reduced TDI score was an independent determinant of reduced gait speed, explaining 25% of the variability. TDI score remained a significant determinant of gait speed after controlling for K-MMSE, K-MoCA and integrated SAI (Table 4B).
PD with anosmia (n=16)a | PD with hyposmia (n=19)b | PD with normosmia (n=22)c | p-value | Post-hoc | ||
---|---|---|---|---|---|---|
Mean ± SD | Mean ± SD | Mean ± SD | ||||
Age | 66.75 ± 12.37 | 63.47 ± 9.38 | 64.27 ± 8.76 | 0.37 | ||
Gender (male/female) | 3/13 | 4/15 | 8/14 | |||
Disease duration (month) | 16.25 ± 12.32 | 13.31 ± 10.69 | 13.72 ± 10.08 | 0.71 | ||
Type of PD (TD/Mixed/AR) | 3/10/3 | 5/8/6 | 6/12/4 | |||
UPDRS-III | 18.31 | 17.16 | 13.43 | 0.11 | ||
Modified H&Y | 2.22 | 2.16 | 2.02 | 0.51 | ||
Education (year) | 8.37 ± 4.67 | 8.39 ± 4.58 | 10.43 ± 4.03 | 0.21 | ||
K-MMSE | 24.25 ± 4.69 | 25.21 ± 3.30 | 27.50 ± 2.22 | 0.02 | a=b<c | |
K-MoCA | 18.81 ± 6.64 | 21.22 ± 5.59 | 23.32 ± 4.63 | 0.08 | ||
BDI | 15.56 ± 7.02 | 12.61 ± 6.47 | 9.27 ± 6.04 | 0.01 | a=b<c | |
Olfactory function test | ||||||
Odour threshold test | 3.93 ± 2.66 | 7.39 ± 1.85 | 11.70 ± 2.73 | <0.01 | a<b<c | |
Odour discrimination test | 5.81 ± 1.42 | 7.68 ± 1.49 | 10.36 ± 1.55 | <0.01 | a<b<c | |
Odour identification test | 6.31 ± 1.92 | 8.00 ± 1.97 | 9.95 ± 2.33 | <0.01 | a<b<c | |
TDI score | 16.06 ± 3.43 | 23.13 ± 1.92 | 32.11 ± 3.50 | <0.01 | a<b<c |
PD: Parkinson's Disease; UPDRS-III: Unified Parkinson’s Disease Rating Scale Part III; H&Y: Hoehn and Yahr Stage; TD: Tremor-Dominant; AR: Akinetic-Rigid; BDI: Beck Depression Inventory; K-MMSE: The Korean Version of Mini-Mental State Examination; K-MoCA: Korean Version of Montreal Cognitive Assessment; TDI: The Sum of the Olfactory Threshold Score, Odour Discrimination Score and Odour Identification Score; post-hoc: Kruskal Wallis Test.
Table 1: Demographics and olfactory function test in PD patients.
PD with anosmia (n=16)a | PD with hyposmia (n=19)b | PD with normosmia (n=22)c | p-value | Post-hoc | |
---|---|---|---|---|---|
Mean ± SD | Mean ± SD | Mean ± SD | |||
RMT (%) | 68.37 ± 11.58 | 72.50 ± 13.08 | 65.00 ± 10.36 | 0.17 | |
CMCT (ms) | 7.03 ± 1.03 | 7.09 ± 1.40 | 7.14 ± 1.16 | 0.66 | |
MEPAR (%) | 0.34 ± 0.17 | 0.31 ± 0.27 | 0.27 ± 0.17 | 0.10 | |
N20 (ms) | 14.68 ± 3.89 | 15.16 ± 4.58 | 17.16 ± 5.00 | 0.17 | |
SAI (%): N20 | 67.08 ± 12.77 | 65.91 ± 12.02 | 54.26 ± 12.06 | <0.01 | a=b>c |
SAI (%): N20+1 ms | 60.51 ± 11.73 | 56.73 ± 12.97 | 46.50 ± 9.64 | <0.01 | a=b>c |
SAI (%): N20+2 ms | 53.85 ± 14.49 | 48.50 ± 13.93 | 39.96 ± 8.78 | <0.01 | a=b>c |
SAI (%): N20+3 ms | 64.91 ± 14.31 | 59.02 ± 13.39 | 50.74 ± 11.44 | <0.01 | a=b>c |
SAI (%): N20+4 ms | 73.26 ± 15.46 | 68.37 ± 1.60 | 58.90 ± 13.66 | <0.01 | a=b>c |
Integrated SAI | 63.92 ± 12.71 | 59.70 ± 12.26 | 50.07 ± 10.34 | <0.01 | a=b>c |
These values represent the mean with the standard deviation
TMS: Transcranial Magnetic Stimulation; SAI: Short-Latency Afferent Inhibition; PD: Parkinson's Disease; RMT: Resting Motor Threshold; CMCT: Central Motor Conduction Time; MEPAR: Motor Evoked Potential Amplitude Ratio; post-hoc: Kruskal Wallis Test.
Table 2: Comparison of electrophysiological parameters obtained by conventional TMS study and SAI.
PD with anosmia (n=16)a | PD with hyposmia (n=19)b | PD with normosmia (n=22)c | p-value | post-hoc | ||
---|---|---|---|---|---|---|
Mean ± SD | Mean ± SD | Mean ± SD | ||||
Walking time (s) | 11.44 ± 2.10 | 9.87 ± 1.28 | 9.47 ± 0.95 | 0.01 | a>b=c | |
Number of steps (n) | 21.63 ± 3.57 | 19.11 ± 2.35 | 17.85 ± 1.94 | <0.01 | a>b=c | |
Gait speed (m/s) | 0.90 ± 0.17 | 1.03 ± 0.12 | 1.07 ± 0.10 | 0.01 | a<b=c | |
Stride length (m) | 0.47 ± 0.07 | 0.53 ± 0.06 | 0.57 ± 0.06 | <0.01 | a<b=c | |
Stride time (s) | 0.53 ± 0.04 | 0.52 ± 0.03 | 0.53 ± 0.05 | 0.53 |
Table 3: Gait parameters among different PD groups during 10 meter gait.
Independent | R | p |
---|---|---|
SAI 20ms | -0.286 | 0.016 |
SAI 21ms | -0.355 | 0.003 |
SAI 22ms | -0.343 | 0.004 |
SAI 23ms | -0.410 | 0.001 |
SAI 24ms | -0.359 | 0.003 |
TDI score | 0.416 | 0.001 |
K-MMSE | 0.377 | 0.002 |
K-MoCA | 0.337 | 0.06 |
H-Y stage | -0.203 | 0.065 |
UPDRS-III | -0.270 | 0.021 |
Integrated SAI | -0.367 | 0.002 |
BDI | -0.114 | 0.201 |
Age | -0.396 | 0.001 |
UPDRS-III: Unified Parkinson’s Disease Rating Scale Part III; H&Y: Hoehn and Yahr Stage; BDI: Beck Depression Inventory; K-MMSE: The Korean Version of Mini-Mental State Examination; K-MoCA: Korean Version of Montreal Cognitive Assessment; TDI: The Sum of the Olfactory Threshold Score, Odour Discrimination Score and Odour Identification Score.
Table 4A: Correlation analysis of variables for gait speed in PD patients.
Independent | ß | p |
---|---|---|
Model 1 | ||
TDI score | 0.293 | 0.042 |
UPDRS-III | -0.073 | 0.589 |
K-MMSE | 0.208 | 0.361 |
Age | -0.231 | 0.145 |
K-MoCA | -0.124 | 0.613 |
Integrated SAI | -0.100 | 0.493 |
R2=0.261, p-value of change=0.01 | ||
Model 2 | ||
Integrated SAI | -0.155 | 0.262 |
TDI score | -0.281 | 0.05 |
K-MoCA | 0.028 | 0.900 |
K-MMSE | 0.220 | 0.973 |
R2=0.257, p-value of change=0.02 |
UPDRS-III: Unified Parkinson’s Disease Rating Scale Part III; H&Y: Hoehn and Yahr Stage; BDI: Beck Depression Inventory; K-MMSE: The Korean Version of Mini-Mental State Examination; K-MoCA: Korean Version of Montreal Cognitive Assessment; TDI: The Sum of the Olfactory Threshold Score, Odour Discrimination Score and Odour Identification Score.
Table 4B: Multiple regression analysis model and coefficient of variables for gait speed and other variable factors in different PD groups following olfaction.
Discussion and Conclusion
In this study, gait disturbance is strongly associated with olfactory dysfunction, and olfaction demonstrates a distinct association with SAI, which reflects cholinergic function quantitatively in early PD. The anosmia group shows more serious gait disturbance than the hyposmia and normosmia groups in this study. Gait disturbance and freezing of gait are very important issues in PD because they are directly related to injury [18], loss of mobility [19], admission to nursing homes [20] and ultimately increased mortality. It is worthy of notice that this study demonstrates the associations among gait, olfaction, and the central cholinergic system in the early stage of PD.
It has been reported that SAI is an independent predictor of gait speed in PD compared to control subjects [7]. In other words, central cholinergic dysfunction influences gait disturbance in PD. There are two major cholinergic pathways that can affect gait disturbance: First is the cortical system from the nucleus basalis of Meynert (nbM) to the basal forebrain and cerebral cortex. Neuropathology including neurofibrillary tangles, Lewy bodies, or neuronal loss in the nbM leads to impairment of both arousal and selective attention in PD [21] and may also affect gait disturbance [22]. Second, the pedunculopontine nucleus (PPN) supplies the cholinergic input to the striatum, thalamus, cerebellum and brain stem [23]. The cholinergic pathway of nbM is obviously degenerated in PD and this change is associated with cognitive decline, which causes higher level gait disorders [24]. It is known that the cholinergic pathway arising from the PPN resulting in neuronal loss progresses more severely with increasing motor severity in PD [22]. The PPN is connected in more complex ways with SN, subthalamic nucleus (STN) and globus pallidus interna (GPi) and involves posture, locomotion and gait control [25]. Cholinergic neurons of PPN are known to play important roles in gait and control of posture [24]. Greater reduction of cortical cholinergic activity is found in PD patients who experienced falling compared with those of PD non-fallers and controls in a PET study [15].
In this study, the cognitive function measured by the K-MMSE in anosmia and hyposmia groups is statistically significantly lower than that of the PD normosmia group. In addition, gait disturbance is more severe for the anosmia group than that of the hyposmia and normosmia groups, indicating that the cholinergic system influences cognition, gait and olfaction in the early stage of PD.
Although the olfactory function test is known to reflect cholinergic activity, it may be partially influenced by cognitive or memory functions. The odour discrimination test may be the responsibility of the hippocampus as the test involves working memory [26] because two different odour stimuli cannot be compared simultaneously as in vision, audition, or somatosensory stimulation. In addition, the odour identification test may affect long-term memory’s ability to remember the name of the smell, and short-term memory is required in the odor threshold test. Thus, olfactory function is influenced by high levels of cognitive and memory function of the limbic cortex [27,28].
This study has several limitations. First, we cannot evaluate gait function with quantitative kinetic gait analyzer, which may allow us more precise analysis of gait such as the range of motion of the joint. Second, SAI has many confounding factors, especially depending on the state of dopamine medication. There is a possibility that dopaminergic effect has an influence on the SAI response. Despite these limitations, this study suggests that the central cholinergic dysfunction may be responsible for gait disturbance, olfactory dysfunction and cognitive impairment in early stage of PD. Clinicians should pay more attention to cognitive and gait function in PD patients with olfactory dysfunction.
References
- Langston JW (2006) The Parkinson's complex: Parkinsonism is just the tip of the iceberg. Ann Neurol 59: 591-596.
- Chaudhuri KR, Healy DG, Schapira AH; National Institute for Clinical Excellence (2006) Non-motor symptoms of Parkinson's disease: Diagnosis and management. Lancet Neurol 5: 235-245.
- Baltadjieva R, Giladi N, Gruendlinger L, Peretz C, Hausdorff JM (2006) Marked alterations in the gait timing and rhythmicity of patients with de novo Parkinson's disease. Eur J Neurosci 24: 1815-1820.
- Chastan N, Do MC, Bonneville F, Torny F, Bloch F, et al. (2009) Gait and balance disorders in Parkinson's disease: Impaired active braking of the fall of centre of gravity. Mov Disord 24: 188-195.
- Bohnen NI, Frey KA, Studenski S, Kotagal V, Koeppe RA, et al. (2013) Gait speed in Parkinson disease correlates with cholinergic degeneration. Neurology 81: 1611-1616.
- Bohnen NI, Albin RL (2011) The cholinergic system and Parkinson disease. Behav Brain Res 221: 564-573.
- Rochester L, Yarnall AJ, Baker MR, David RV, Lord S, et al. (2012) Cholinergic dysfunction contributes to gait disturbance in early Parkinson's disease. Brain 135: 2779-2788.
- Braak H, Ghebremedhin E, Rüb U, Bratzke H, Del Tredici K (2004) Stages in the development of Parkinson's disease-related pathology. Cell Tissue Res 318: 121-134.
- Hawkes CH, Del Tredici K, Braak H (2009) Parkinson's disease: The dual hit theory revisited. Ann N Y Acad Sci 1170: 615-622.
- Oh E, Park J, Youn J, Kim JS, Park S, et al. (2017) Olfactory dysfunction in early Parkinson's disease is associated with short latency afferent inhibition reflecting central cholinergic dysfunction. Clin Neurophysiol 128: 1061-1068.
- Di Lazzaro V, Oliviero A, Profice P, Pennisi MA, Di Giovanni S, et al. (2000) Muscarinic receptor blockade has differential effects on the excitability of intracortical circuits in the human motor cortex. Exp Brain Res 135: 455-461.
- Manganelli F, Vitale C, Santangelo G, Pisciotta C, Iodice R, et al. (2009) Functional involvement of central cholinergic circuits and visual hallucinations in Parkinson's disease. Brain 132: 2350-2355.
- Nardone R, Bergmann J, Brigo F, Christova M, Kunz A, et al. (2013) Functional evaluation of central cholinergic circuits in patients with Parkinson's disease and REM sleep behavior disorder: A TMS study. J Neural Transm (Vienna) 120: 413-422.
- Yarnall AJ, Rochester L, Baker MR, David R, Khoo TK, et al. (2013) Short latency afferent inhibition: A biomarker for mild cognitive impairment in Parkinson's disease? Mov Disord 28: 1285-1288.
- Bohnen NI, Müller ML, Koeppe RA, Studenski SA, Kilbourn MA, et al. (2009) History of falls in Parkinson disease is associated with reduced cholinergic activity. Neurology 73: 1670-1676.
- Cho JH, Jeong YS, Lee YJ, Hong SC, Yoon JH, et al. (2009) The Korean version of the Sniffin' stick (KVSS) test and its validity in comparison with the cross-cultural smell identification test (CC-SIT). Auris Nasus Larynx 36: 280-286.
- Tokimura H, Di Lazzaro V, Tokimura Y, Oliviero A, Profice P, et al. (2000) Short latency inhibition of human hand motor cortex by somatosensory input from the hand. J Physiol 523: 503-513.
- Genever RW, Downes TW, Medcalf P (2005) Fracture rates in Parkinson's disease compared with age- and gender-matched controls: A retrospective cohort study. Age Ageing 34: 21-24.
- Abou-Raya S, Helmii M, Abou-Raya A (2009) Bone and mineral metabolism in older adults with Parkinson's disease. Age Ageing 38: 675-680.
- Hely MA, Morris JG, Traficante R, Reid WG, O'Sullivan DJ, et al. (1999) The Sydney multicentre study of Parkinson's disease: Progression and mortality at 10 years. J Neurol Neurosurg Psychiatry 67: 300-307.
- Perry E, Walker M, Grace J, Perry R (1999) Acetylcholine in mind: A neurotransmitter correlate of consciousness? Trends Neurosci 22: 273-280.
- Rinne JO, Ma SY, Lee MS, Collan Y, Röyttä M (2008) Loss of cholinergic neurons in the pedunculopontine nucleus in Parkinson's disease is related to disability of the patients. Parkinsonism Relat Disord 14: 553-557.
- Pahapill PA, Lozano AM (2000) The pedunculopontine nucleus and Parkinson's disease. Brain 123: 1767-1783.
- Lord S, Rochester L, Hetherington V, Allcock LM, Burn D (2010) Executive dysfunction and attention contribute to gait interference in 'off' state Parkinson's disease. Gait Posture 31: 169-174.
- Yarnall A, Rochester L, Burn DJ (2011) The interplay of cholinergic function, attention and falls in Parkinson's disease. Mov Disord 26: 2496-2503.
- Kareken DA, Mosnik DM, Doty RL, Dzemidzic M, Hutchins GD (2003) Functional anatomy of human odor sensation, discrimination and identification in health and aging. Neuropsychology 17: 482-495.
- Larsson M, Nilsson LG, Olofsson JK, Nordin S (2004) Demographic and cognitive predictors of cued odor identification: Evidence from a population-based study. Chem Senses 29: 547-554.
- Wang J, Eslinger PJ, Smith MB, Yang QX (2005) Functional magnetic resonance imaging study of human olfaction and normal aging. J Gerontol A Biol Sci Med Sci 60: 510-514.
Citation: Lim Y, Ham J, Lee AY, Oh E (2017) Gait Disturbance Associated with Cholinergic Dysfunction in Early Parkinson’s Disease. J Alzheimers Dis Parkinsonism 7: 363. DOI: 10.4172/2161-0460.1000363
Copyright: © 2017 Lim Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Share This Article
Recommended Journals
Open Access Journals
Article Tools
Article Usage
- Total views: 4607
- [From(publication date): 0-2017 - Dec 19, 2024]
- Breakdown by view type
- HTML page views: 3909
- PDF downloads: 698