Comparison of resting tremor at the upper limb joints between patients with Parkinson’s disease and scans without evidence of dopaminergic deficit

Kwon, Do-Young; Kwon, Yu-Ri; Ko, Junghyuk; Kim, Ji-Won

doi:10.3233/THC-236045

Comparison of resting tremor at the upper limb joints between patients with Parkinson’s disease and scans without evidence of dopaminergic deficit

Article type: Research Article

Authors: Kwon, Do-Young^a | Kwon, Yu-Ri^{b; c} | Ko, Junghyuk^d | Kim, Ji-Won^{b; c; *}

Affiliations: [a] Department of Neurology, | [b] Department of Biomedical Engineering, Konkuk University, Chungju, Korea | [c] Institute of Biomedical Engineering, Konkuk University, Chungju, Korea | [d] Division of Mechanical Engineering, College of Engineering, Korea Maritime and Ocean University, Busan, Korea

Correspondence: [*] Corresponding author: Ji-Won Kim, School of Biomedical Engineering, Konkuk University, 268 Chungwon-daero, Chungju-si 27478, Chungcheongbuk-do, Korea. E-mail: [email protected].

Keywords: Quantification, resting tremor, gyro sensor, SWEDD, Parkinson’s disease

DOI: 10.3233/THC-236045

Journal: Technology and Health Care, vol. 31, no. S1, pp. 515-523, 2023

Published: 28 April 2023

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Abstract

BACKGROUND:

A representative symptom of Parkinson’s disease (PD) is resting tremor. The clinical manifestation of scans without evidence of dopaminergic deficit (SWEDD) is similar to it of PD, though the phenomenology of SWEDD is not well known.

OBJECTIVE:

In the present study, the resting tremor of 9 SWEDD patients was quantitatively compared with that of 11 PD patients.

METHODS:

Four 3-axis gyro sensors were attached on the index finger, thumb, dorsum of the hand, and arm of the more tremulous side. Root mean square (RMS) angular speed and angular displacement as well as irregularity of angular speed and displacement were derived from the sensor data.

RESULTS:

Although disease duration and Hoehn and Yahr stages were comparable, SWEDD patients exhibited different tremor features from PD patients. Significantly faster RMS angular speed and greater RMS angular displacement (p< 0.05) were observed in PD patients than in SWEDD patients. The irregularity of angular displacement of pitch direction at the dorsum of the hand was greater in SWEDD patients than in PD patients (p< 0.05).

CONCLUSION:

These results indicate that quantitative indices obtained from resting tremor task could be important biomarkers for identifying potential patients with SWEDD among patients diagnosed with PD.

1.Introduction

Resting tremor is one of the most representative manifestation of Parkinson’s disease (PD) [1] and is observed in approximately 75% of the PD population [2]. Resting tumor is an involuntary and oscillatory movement most noticeable in fingers, hands, and arms, occurring mostly at rest [3]. The Unified Parkinson Disease Rating Scale (UPDRS) rates severity from 0 (normal) to 4 (severe) and is a popular assessment tool [4]. However, UPDRS is based on subjective rating and has poor intra-rater reliability due to diversity in clinical experience [5]. Thus, more objective and reliable systems for assessment of resting tremor at upper limb would be useful for accurate evaluation of response to clinical interventions.

Many related studies have proposed quantitative measurable technologies of tremor using IMU sensors such as gyro sensors [6, 7, 8, 9] and accelerometers [8, 9]. They have developed wearable system based on IMU sensors that can be attached on fingers, hands and forearms. Quantitative variables, such as averaged angular velocity, averaged angular displacement, mean or peak frequency for quantification of tremor in PD or essential tremor (ET) patients, were analyzed. In addition, the IMU sensor-based outcome measures showed good correlation with various tremor symptoms (e.g., resting tremor, postural tremor, kinetic tremor).

Recently, some of patients (4%–14.7%) diagnosed with PD exhibited normal dopamine transporter imaging and have been categorized as scans without evidence of dopaminergic deficit (SWEDD) [10]. The typical manifestation of patients with SWEDD is similar to that of PD patients [11]; however, the phenomenology of SWEDD is challenging to describe [12]. Furthermore, patients with did not respond to L-dopa [13] and showed minimal clinical progression [14] compared with PD patients. Although dopaminergic imaging can be used for diagnosis of SWEDDs, the method remains unavailable due to its economic inefficiency [15]. Therefore, understanding clinical characterizations of SWEDD and distinguishing SWEDD from PD patients is important to avoid inappropriate interventions.

In several studies, SWEDD patients showed differences in gait patterns, handwriting, and upper-limb bradykinesia compared with PD patients [11, 16, 17]. Specifically, PD patients had a slower gait speed, smaller stride length, reduced arm swing, greater impairment in handwriting, and greater impairment in forearm movement patterns (greater and more regular average speed and higher and more regular average amplitude) than SWEDD patients. However, few studies have tried to quantitatively and kinematically measures resting tremor at upper limb in SWEDD patients. A quantitative kinematic measurement of resting tremor may provide additional information that may help differentiate SWEDD from PD. Although a triaxial accelerometer was used to compare between PD and SWEDD patients [23], previous studies did not measure resting tremor considering various sensor locations as well as directions.

In the present study, resting tremor in SWEDD patients was compared with that in PD patients; the resting tremor of the fingers, dorsum of hands, and arms in PD and SWEDD patients were quantitatively measured using 3-axis gyro sensors.

2.Methods

2.1Subjects

This study included 9 patients with SWEDD and 11 patients with PD. Patients with normal brain MRI and normal dopamine transporter imaging among patients diagnosed with PD were defined as SWEDD [18]. An experienced nuclear medicine physician visually diagnosed SWEDD. Two neurologists recruited the 9 PD patients according to the United Kingdom Parkinson’s Disease Society Brain Bank (UKBBC) [19]. Patients with stroke or any neurological disease, possible sign of atypical parkinsonism, psychiatric disorders, or using medications affecting central dopaminergic pathways were excluded from this study. SWEDD patients usually have been shown to no substantial changes in disease progression despite no dopaminergic therapy [14]. Therefore, SWEDD patients were not treated with levodopa in present study.

Table 1

Clinical profiles of the patients

Variables	PD (n= 11; men = 6, women = 5)	SWEDD (n= 9; men = 3, women = 6)	Statistical significance
	Mean (SD)	Mean (SD)	(p-value)
Age (years)	60.1 (13.1)	72.0 (7.8)	0.03
Height (cm)	159.8 (10.3)	154.8 (9.4)	0.27
Weight (kg)	65.6 (11.0)	59.4 (9.7)	0.21
Disease duration (years)	3.4 (2.5)	3.0 (3.7)	0.77
Hoehn and Yahr stage	1.9 (0.6)	2.1 (0.4)	0.39
UPDRS total score	30.7 (10.4)	26.9 (12.7)	0.48

PD, Parkinson’s disease; SWEDD, scans without evidence of dopaminergic deficit; SD, standard deviation; UPDRS, unified Parkinson’s disease rating score.

Table 1 shows subject information on age, height, weight, disease duration, Hoehn and Yahr (HY) stage, and UPDRS total score. All clinical profiles except age were not significantly different between two patient groups. Patients with early disease including HY stages 1, 2, and 2.5 (SWEDD: 2.1 ± 0.4, PD: 1.9 ± 0.6) were recruited for the study. All patients provided informed consent and the ethics committee of the hospital approved this study.

2.2Experiments and analysis

A wearable measurement system based on 3-axis gyro sensors (L3G4200D, STMicroelectronics, Aschheim city, Germany) was used in this study. The reliability of this system has been proven for postural tremor [7] and action tremor [6] in patients with ET. Specifically, angular velocity was quantitatively measured postural tremor in patients with ET and averaged speed at the dorsum of hand showed strong correlation with the clinical evaluation (r= 0.7) [7]. In addition, roll direction at the dorsum of hand during spiral drawing task was also reflected the clinical evaluation (r= 0.73).

Figure 1.

Quantitative measurement of resting tremor using 3-axis gyro sensors.

As shown in Fig. 1, the sensors were attached on the index finger, thumb, dorsum of the hand, and arm of the more tremulous side. All patients were instructed to maintain a resting position while seated in a chair, with hands relaxed and forearms placed on thighs. The sensor data were recorded for 15 s with a 100 Hz sampling frequency using a microprocessor (MSP430F5522). Measurement software was developed using LabVIEW for wireless communication with the microprocessor. After sufficient explanation to ensure that each participant was familiar with the procedure, the resting tremor task was performed 3 times. Reportedly, the frequency of resting tremor in PD mainly ranges between 4 and 7 Hz [20]. Therefore, a digital filter with a passband of 0.65–12.5 Hz was used to remove low-frequency drift and high-frequency noise [26].

RMS angular speed and angular displacement were used to represent the mean speed and mean amplitude of the involuntary and oscillatory movement caused by resting tremor, respectively [6, 7]. Coefficient of variation (CV) was used to represent the irregularity of the repetitive oscillating tremor patterns [17, 21]. In addition, peak frequency and peak power were calculated from the power spectrum of angular velocity signals.

Independent t-test was performed to compare the differences of the quantitative indices between PD and SWEDD patients in all analysis indices. SPSS version 16 (SPSS Inc., Chicago, IL, USA) was used for statistical analyses, and p< 0.05 was considered as statistical significance level.

Table 2

Comparison of time domain analysis indices between PD and SWEDD patients

Analysis indices	Sensor position	Direction	PD Mean (SD)		SWEDD Mean (SD)		Significance
RMS angular speed (deg/sec)	Index finger	Roll	14.1	(18.2)	2.6	(4.1)	0.067
		Pitch	17.1	(18.8)	1.7	(1.2)	0.021
		Yaw	13.3	(19.5)	2.5	(3.8)	0.102
	Dorsum of hand	Roll	13.4	(19.0)	2.8	(4.4)	0.098
		Pitch	6.7	(8.1)	0.7	(0.5)	0.033
		Yaw	6.7	(10.5)	1.0	(1.3)	0.102
	Thumb	Roll	18.9	(27.7)	2.5	(4.1)	0.080
		Pitch	12.7	(15.6)	1.4	(1.4)	0.038
		Yaw	12.4	(17.9)	1.8	(3.0)	0.082
	Arm	Roll	1.9	(2.9)	0.3	(0.6)	0.072
		Pitch	1.4	(1.7)	0.2	(0.3)	0.029
		Yaw	1.4	(1.9)	0.2	(0.3)	0.052
RMS angular displacement (deg)	Index finger	Roll	1.67	(2.60)	0.40	(0.72)	0.174
		Pitch	2.27	(2.83)	0.21	(0.16)	0.037
		Yaw	1.20	(1.65)	0.32	(0.57)	0.146
	Dorsum of hand	Roll	1.35	(2.22)	0.40	(0.75)	0.237
		Pitch	1.13	(1.48)	0.10	(0.07)	0.044
		Yaw	0.86	(1.47)	0.14	(0.17)	0.133
	Thumb	Roll	1.89	(2.86)	0.31	(0.56)	0.102
		Pitch	1.41	(1.68)	0.24	(0.31)	0.046
		Yaw	1.35	(1.95)	0.17	(0.24)	0.075
	Arm	Roll	1.89	(2.86)	0.32	(0.58)	0.103
		Pitch	1.40	(1.66)	0.24	(0.31)	0.045
		Yaw	1.35	(1.94)	0.17	(0.25)	0.074
CV of angular speed	Index finger	Roll	0.37	(0.16)	0.48	(0.29)	0.307
		Pitch	0.38	(0.18)	0.59	(0.39)	0.120
		Yaw	0.35	(0.15)	0.49	(0.39)	0.279
	Dorsum of hand	Roll	0.39	(0.17)	0.43	(0.17)	0.599
		Pitch	0.36	(0.17)	0.38	(0.14)	0.855
		Yaw	0.36	(0.15)	0.38	(0.16)	0.724
	Thumb	Roll	0.37	(0.17)	0.43	(0.13)	0.378
		Pitch	0.41	(0.14)	0.48	(0.20)	0.346
		Yaw	0.34	(0.17)	0.36	(0.18)	0.817
	Arm	Roll	0.38	(0.15)	0.34	(0.11)	0.542
		Pitch	0.35	(0.14)	0.35	(0.12)	0.989
		Yaw	0.35	(0.10)	0.33	(0.14)	0.721
CV of angular displacement	Index finger	Roll	0.18	(0.18)	0.31	(0.29)	0.233
		Pitch	0.17	(0.18)	0.39	(0.42)	0.134
		Yaw	0.17	(0.12)	0.33	(0.42)	0.245
	Dorsum of hand	Roll	0.17	(0.14)	0.24	(0.15)	0.331
		Pitch	0.10	(0.06)	0.26	(0.16)	0.018
		Yaw	0.15	(0.10)	0.20	(0.15)	0.388
	Thumb	Roll	0.19	(0.15)	0.19	(0.12)	0.965
		Pitch	0.18	(0.10)	0.13	(0.07)	0.285
		Yaw	0.14	(0.10)	0.20	(0.09)	0.195
	Arm	Roll	0.19	(0.15)	0.19	(0.12)	0.960
		Pitch	0.18	(0.11)	0.14	(0.07)	0.357
		Yaw	0.14	(0.10)	0.20	(0.09)	0.189

PD, Parkinson’s disease; SWEDD, scans without evidence of dopaminergic deficit; SD, standard deviation; RMS, root mean square, CV, coefficient of variation.

Figure 2.

Representative resting tremor signals of finger in the pitch direction in SWEDD (left) and PD (right) patients.

3.Results

Figure 2 shows representative resting tremor signals of index finger joint in the pitch direction for comparison between SWEDD and PD patients. PD patient showed greater angular velocity signals than SWEDD patient. Table 2 shows the differences of time domain variables between PD and SWEDD patients. The RMS angular speed of pitch direction was significantly different in all sensor attachment positions in the PD and SWEDD patients (p< 0.05). Specifically, PD patients had significantly greater average speed compared with SWEDD patients, as shown in Fig. 3. In RMS angular displacement of pitch direction, the PD patients had significantly greater average amplitude than the SWEDD patients (p< 0.05). The CV of RMS angular displacement of pitch direction at the dorsum of the hand was greater in SWEDD patients than in PD patients (p< 0.05). In contrast, the CV of RMS angular speed was not significantly different between SWEDD and PD patients (p> 0.05). In addition, roll and yaw directions showed no significant differences in all indices between SWEDD and PD patients (p> 0.05).

Table 3

Comparison of frequency domain analysis indices between PD and SWEDD patients

Analysis indices	Sensor position	Direction	PD Mean (SD)		SWEDD Mean (SD)		Significance
Peak frequency (Hz)	Index finger	Roll	5.0	(0.9)	5.1	(1.5)	0.881
		Pitch	5.1	(0.6)	4.5	(1.8)	0.389
		Yaw	5.4	(0.8)	4.4	(1.4)	0.060
	Dorsum of hand	Roll	5.1	(1.0)	5.2	(1.5)	0.834
		Pitch	5.3	(0.8)	4.0	(2.2)	0.124
		Yaw	5.3	(0.7)	4.1	(1.8)	0.087
	Thumb	Roll	5.2	(0.9)	5.5	(1.4)	0.633
		Pitch	5.1	(0.7)	4.9	(1.3)	0.578
		Yaw	5.5	(1.0)	4.6	(1.3)	0.082
	Arm	Roll	4.8	(0.9)	4.8	(1.4)	0.864
		Pitch	5.1	(0.9)	4.5	(1.6)	0.354
		Yaw	4.5	(1.0)	4.0	(1.3)	0.312
Peak power (deg2/s2/Hz)	Index finger	Roll	182510	(463889)	2125	(5662)	0.226
		Pitch	169253	(310474)	559	(860)	0.102
		Yaw	127750	(293700)	2224	(5193)	0.187
	Dorsum of hand	Roll	179541	(459194)	2378	(6448)	0.230
		Pitch	29444	(49163)	49	(63)	0.075
		Yaw	36981	(84945)	205	(486)	0.182
	Thumb	Roll	285482	(568437)	2056	(5546)	0.129
		Pitch	119160	(200875)	319	(669)	0.078
		Yaw	162304	(441280)	1160	(3144)	0.290
	Arm	Roll	47477	(88040)	1008	(2737)	0.111
		Pitch	7807	(13962)	49	(119)	0.095
		Yaw	11453	(27548)	23	(47)	0.199

PD, Parkinson’s disease; SWEDD, scans without evidence of dopaminergic deficit; SD, standard deviation; RMS, root mean square, CV, coefficient of variation.

Figure 3.

Comparison of quantitative analysis indices in the pitch direction between Parkinson’s disease (PD) and scans without evidence of dopaminergic deficit (SWEDD) patients (p*< 0.05).

Table 3 shows the results of frequency analysis. PD patients tend to have higher frequency and greater peak power compared to SWDD patients. However, there were no significant differences between SWEDD and PD patients in all frequency domain variables (p> 0.05).

4.Discussion

SWEDD patients present heterogeneous clinical manifestations due to various underlying etiologies [22], and their disease prognosis is different from that of PD patients [23]. Thus, differentiating SWEDD patients from PD patients is important to avoid inappropriate intervention. In the present study, quantitative measure of the upper limb during resting tremor task were performed and compared between SWEDD and PD patients. SWEDD patients showed significantly different tremor patterns (slower and smaller) than PD patients, particularly in the pitch direction at all joints. In addition, SWEDD patients showed more irregular amplitude at the dorsum of the hand than did PD patients.

In several studies, the clinical features were quantitatively measured and compared between SWEDD and PD patients. Kwon et al. quantitatively measured upper limb bradykinesia using a gyro sensor. The authors showed markedly different quantitative bradykinesia indices of forearm rotation between SWEDD and PD patients [17]. In a gait study, SWEDD patients had normal gait patterns in elbow posture, trunk, gait variability, and bilateral step phase coordination compared with PD patients [11]. Furthermore, SWEDD patients showed a shorter stance phase and a reduced double limb support period compared with PD patients [24]. In postural balance analysis, SWEDD patients presented a smaller center of pressure (COP) distance and a more frequent COP mainly in the medio-lateral direction and showed normal balance ability [25]. However, differences of resting tremor patterns have been investigated in only a few studies.

In the present study, SWEDD patients exhibited a slower average angular speed and lower amplitude in all sensor attachment positions compared with PD patients. This indicates that PD patients exhibited faster and greater tremulous patterns during the resting tremor task compared with SWEDD patients. In particular, this tendency was significantly pronounced in pitch direction (p< 0.05), indicating that pitch direction compared with other directions (pitch and yaw) could be a biomarker for distinguishing individuals with SWEDD from PD patients. Furthermore, the differences of average angular speed and amplitude between PD and SWEDD patients was greatest in the pitch direction of the index finger, which might be helpful in diagnosis of SWEDD.

The CV of average angular displacement in the pitch direction at the dorsum of the hand was greater in SWEDD patients (p< 0.05), indicating greater irregularity in amplitude compared with PD patients. This tendency was pronounced in pitch direction at the dorsum of the hand, indicating that SWEDD patients have a different type of tremor than PD patients, particularly in the hand joint. In contrast, significant differences were not observed in other directions or joints (p> 0.05). Irregularity of pitch direction at the hand joint also might be an important indicator for diagnosing SWEDD.

In the present study, although comparable disease durations and Hoehn and Yahr stages were observed, some tremor patterns (average speed and amplitude of pitch direction at all joints and irregularity of average amplitude of pitch direction at the dorsum of the hand) in SWEDD patients differed from those in PD patients. This may be due to different deterioration rates between SWEDD and PD, which is supported by a report suggesting that the two are not likely to progress similarly. The results of the present study indicate that some quantitative indices obtained from the resting tremor task could be important biomarkers for identifying potential patients with SWEDD among patients diagnosed with PD.

SWEDD shows heterogeneous clinical manifestations with various underlying etiologies [22]. Our study demonstrated the feasibility of differentiating between PD and SWEDD using resting tremor patterns. However, evidence for clinical features of tremor in SWEDD patients is lacking. Therefore, further investigations are needed to differentiate SWEDD from PD by measuring various tremor types. Specifically, kinetic tremor as well as resting tremor should be investigated in more PD and SWEDD patients. In addition, tremor patterns of lower limb joint should also be investigated.

5.Conclusion

The results showed that quantitative resting tremor indices could be useful for characterizing SWEDD. Although disease duration and HY stages were comparable between PD and SWEDD patients, slower speed and smaller amplitude in pitch direction at all joints were observed in SWEDD patients. In addition, SWEDD patients had greater irregularity in amplitude in the pitch direction at the dorsum of the hand. These findings could help to identify potential SWEDD patients.

Acknowledgments

This research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Nos 2018R1C1B6008083 and 2022R1I1A3065537).

Conflict of interest

None to report.

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