Skip to main content
Springer logoLink to Springer
. 2025 Apr 9;272(5):325. doi: 10.1007/s00415-025-13050-y

The natural history of body-first versus brain-first Parkinson’s disease subtypes

Vittorio Velucci 1,✉, Angelo Fabio Gigante 2, Giovanni Iliceto 3, Roberta Pellicciari 1, Barbara Vitucci 1, Sarah Idrissi 1, Marcello Mario Mascia 4, Antonella Muroni 4, Tommaso Ercoli 5, Paolo Solla 5, Giovanni Defazio 1,6
PMCID: PMC11982158  PMID: 40204988

Abstract

Background

Several lines of evidence support the hypothesis of brain-first and body-first Parkinson’s disease (PD) subtypes, characterized by distinct origins of α-synuclein pathology. However, data on premotor non-motor burden and motor progression in these subtypes remain inconsistent.

Objective

To analyze the natural history of body-first versus brain-first PD subtypes.

Methods

Data from 400 PD patients enrolled at a single Italian center were analyzed. All patients underwent a standardized retrospective baseline assessment of premotor and motor symptoms at onset and were prospectively followed. Premotor REM sleep behavior disorder (RBD), considered a prodromal phenotype of the body-first subtype, was used to divide patients into two groups: 81 patients with probable premotor RBD (PDpreRBD+) and 319 patients without (PDpreRBD−).

Results

At motor onset, PDpreRBD+ patients were older than PDpreRBD− patients, exhibited less tremor, and more frequently presented with bilateral motor symptoms. PDpreRBD+ patients also reported a greater burden of premotor symptoms, including hyposmia, cognitive impairment, pain, constipation, and other dysautonomic symptoms. Over the follow-up period, PDpreRBD+ patients progressed more rapidly to Hoehn and Yahr stage 3, even after adjusting for sex, years of schooling, age at motor onset, and initial motor phenotype.

Conclusions

Our results align with the hypothesis of brain-first and body-first PD subtypes, providing novel insights into their different premotor non-motor burden and motor progression trajectories.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00415-025-13050-y.

Keywords: Parkinson’s disease subtypes, Body-first, Brain-first, REM sleep behavior disorder (RBD), Premotor symptoms, Motor progression

Introduction

Parkinson’s disease (PD) is a neurodegenerative condition characterized by both motor and non-motor symptoms. The clinical heterogeneity of PD has prompted efforts to define subtypes through motor phenotyping and data-driven models [1, 2]. Concurrently, postmortem staging systems have been developed to describe the distribution of intracellular α-synuclein, the pathological hallmark of PD, across different disease stages [3–5]. In an attempt to integrate these distinct staging and subtyping systems, the brain-first and body-first PD subtypes have recently been proposed [6]. In the brain-first subtype, α-synuclein accumulation and neurodegeneration begin centrally and progress cell-to-cell in a prion-like manner to the peripheral/enteric nervous system. Conversely, in the body-first subtype, peripheral α-synuclein pathology precedes central involvement.

REM sleep behavior disorder (RBD) is a non-motor symptom arising from neurodegeneration in the pons, which can precede or follow the onset of PD motor symptoms [7]. Premotor RBD has been proposed as a clinical hallmark of the body-first subtype as it precedes substantia nigra involvement in the midbrain (responsible for motor symptom onset) according to the caudo-rostral propagation model [8]. By contrast, RBD developing after the onset of motor signs should be consistent with the brain-first subtype.

If this hypothesis holds true, the body-first and brain-first subtypes would be expected to exhibit a different burden of non-motor symptoms before the onset of motor signs. However, information regarding the premotor non-motor burden in body-first versus brain-first subtypes is to date inconsistent. Additionally, it remains unclear whether the two subtypes differ in terms of motor severity and disease progression [9, 10].

In this study, we analyzed the natural history of the brain-first and body-first subtypes, providing a comprehensive perspective on both non-motor and motor domains. To this end, we retrospectively examined premotor non-motor symptoms at enrollment and conducted a prospective long-term motor assessment, using the attainment of Hoehn and Yahr (H&Y) stage 3 as a key milestone in PD progression [11, 12].

Methods

Study design

Patients attending the outpatient clinic of the Department of Neurology at the University Hospital of Bari (Italy) were consecutively enrolled over a 15-year period. All participants gave informed consent. PD diagnosis was made according to the UK PD Society Brain Bank criteria [13]. Patients were excluded if a comprehensive assessment revealed parkinsonism other than PD. Furthermore, patients with concomitant diseases associated with motor impairment, cognitive impairment, pain, or dysautonomia were also excluded. All assessments were performed by a specialist in movement disorders with expertise in parkinsonism.

Baseline assessment

At enrollment, a semi-structured questionnaire was used to collect information on age, sex, education, family history of parkinsonism, current antiparkinsonian treatment, age at onset of motor symptoms, motor phenotype at onset (including the presence of tremor and bilateral motor symptoms), and non-motor symptoms.

Levodopa equivalent daily dose (LEDD) was determined using established methodologies [14].

RBD was diagnosed using the RBD1Q, which provides a probable RBD diagnosis [15], and the age of RBD onset was recorded. Hyposmia was evaluated using a single screening question about smelling ability problems [16]. Subjective cognitive symptoms were explored using the Unified Parkinson’s Disease Rating Scale (UPDRS) part I, question 1 [17]. Since this question primarily addresses memory loss, disorientation, and executive deficits, additional cognitive issues—such as difficulty maintaining concentration, language problems, and visuospatial deficits—were also recorded if suggested by patients or caregivers. Psychiatric symptoms (hallucinations, depression, anxiety, and apathy) were assessed using the UPDRS part I, questions 2–4 [17]. Hallucinations occurring only during sleep–wake transitions were excluded. Other psychiatric symptoms, such as delirium, emotional lability, nervousness, impulsivity/compulsivity, and aggressive behaviors, were also recorded. Pain was assessed using the UPDRS part II, question 17 [17]. Constipation was defined according to the ROME III diagnostic criteria [18]. Other dysautonomic symptoms (orthostatic hypotension, urinary, sexual, and sweating dysfunctions) were explored using the Unified Multiple System Atrophy Rating Scale part I, questions 9–11 [19], and the UPDRS part II, question 6 [17]. In patients reporting orthostatic symptoms, orthostatic hypotension was confirmed by manually measuring blood pressure after 5 min in the supine position and at 1 and 3 min after standing. Orthostatic hypotension was defined as a sustained decrease in systolic blood pressure of at least 20 mmHg or in diastolic blood pressure of at least 10 mmHg within 3 min of standing, compared to the blood pressure measured in the supine position [20].

All non-motor symptoms and domains were documented as “present” or “absent”, including information on whether they occurred before or after the onset of parkinsonian motor symptoms.

Follow-up

Following the baseline assessment, patients were prospectively monitored, with follow-up visits conducted twice a year. Long-term motor prognosis was assessed by determining the achievement of H&Y stage 3 during the on-medication state [11].

Statistical analysis

Statistical analysis was carried out using the SPSS software package (version 23.0). Data were expressed as mean ± standard deviation (SD) unless otherwise indicated. Normality of data was assessed with Shapiro–Wilk and Kolmogorov–Smirnov tests and Q–Q plots. According to the brain-first and body-first hypothesis, patients were divided into two groups: patients with probable premotor RBD (PDpreRBD+) and patients without probable premotor RBD (PDpreRBD−). Differences between groups were examined using the chi-square test for categorical variables and the Mann–Whitney U test for continuous variables. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were estimated using logistic regression analysis and adjusted for relevant variables. Finally, the time to reach H&Y stage 3 was estimated using Kaplan–Meier curves and Cox regression analysis. Study time was represented by the time elapsed between motor onset and the achievement of H&Y stage 3. Patients who did not reach H&Y stage 3 during the observation period were included in the survival analysis for the entire duration of their follow-up. Patients who had already reached H&Y stage ≥ 3 at enrollment were excluded from survival analysis. Kaplan–Meier curves were compared using the log-rank test, while hazard ratios (HRs) and corresponding 95% CIs were computed for the purposes of Cox regression analysis. Significance was set at the 0.05 level.

Results

Study population

We enrolled 400 PD patients (242 men and 158 women) aged 66.0 ± 9.6 years. PD duration since the onset of motor symptoms was 4.0 ± 4.1 years. Their demographic and clinical characteristics are summarized in Table 1.

Table 1.

Demographic and motor phenotype of the study population at enrollment

Overall population PDpreRBD+ (N = 81) PDpreRBD− (N = 319) P valuea Odds ratio (95% CI)b
Age at enrollment, mean years (SD) 66.0 (9.6) 67.9 (8.0) 65.5 (9.9) 0.07 1.03 (1.00 to 1.06)
Men, n (%) 242 (60.5) 55 (67.9) 187 (58.6) 0.1 1.49 (0.89 to 2.50)
Years of schooling, mean (SD) 8.8 (4.6) 8.8 (5.1) 8.8 (4.4) 0.7 1.00 (0.94 to 1.06)
Family history of parkinsonism, n (%) 52 (13.0) 12 (14.8) 40 (12.5) 0.6 1.21 (0.60 to 2.44)
LEDD at enrollment, mean mg (SD) 346.3 (327.6) 337.7 (292.8) 348.5 (336.6)  > 0.99 1.00 (0.999 to 1.001)
Age at motor onset, mean years (SD) 62.0 (9.6) 64.9 (8.1) 61.2 (9.8) 0.002 1.04 (1.02 to 1.07)
Tremor at motor onset, n (%) 262 (65.5) 43 (53.1) 219 (68.7) 0.008 0.52 (0.31 to 0.85)
Bilateral motor symptoms at motor onset, n (%) 66 (16.5) 23 (28.4) 43 (13.5) 0.001 2.55 (1.42 to 4.55)

aThe P values were estimated using the chi-square test for categorical variables and the Mann–Whitney U test for continuous variables

bOdds ratios with corresponding 95% CIs were estimated using univariable logistic regression

PD Parkinson’s disease, PDRBD+ PD patients with probable premotor RBD, PDRBD− PD patients without probable premotor RBD, CI confidence interval, SD standard deviation, LEDD levodopa equivalent daily dose

At enrollment, 149 (37.3%) patients were diagnosed with probable RBD, 121 (30.3%) reported hyposmia, 86 (21.5%) subjective cognitive symptoms, 146 (36.5%) psychiatric symptoms, 108 (27.0%) pain, 138 (34.5%) constipation, and 60 (15.0%) other dysautonomic symptoms.

Among the 149 patients who were diagnosed with RBD, 81 reported premotor RBD (mean age at RBD onset, 59.9 ± 10.9 years) and 68 had post-motor RBD (mean age at RBD onset, 66.0 ± 7.0 years).

Patients with premotor RBD (PDpreRBD+) were compared with patients with post-motor RBD and without RBD combined (PDpreRBD−). PDpreRBD+ and PDpreRBD− patients (n = 81 vs. 319) did not significantly differ in terms of age, sex, education, family history of parkinsonism, and LEDD. At motor onset, however, PDpreRBD+ patients were significantly older and reported a lower frequency of tremor and a higher frequency of bilateral motor symptom onset than PDpreRBD− patients (Table 1).

Among the 319 PDpreRBD− patients, those who reported post-motor RBD were comparable to those without RBD for demographic and clinical features (Supplemental Table 1).

Premotor symptoms

Compared with PDpreRBD−, PDpreRBD+ patients reported a higher frequency of hyposmia, cognitive symptoms, pain, constipation, and other dysautonomic symptoms before the appearance of parkinsonian motor symptoms. Among premotor dysautonomic manifestations, urinary symptoms were reported by 8 PDpreRBD+ and 11 PDpreRBD− patients, orthostatic hypotension was documented in 1 PDpreRBD+ and 3 PDpreRBD− patients, and sexual dysfunction was reported by 4 PDpreRBD+ patients. No significant difference was observed between the two groups in terms of premotor psychiatric symptoms (Table 2).

Table 2.

Burden of premotor non-motor symptoms in PD patients with and without premotor REM sleep behavior disorder (RBD)

Overall population PDpreRBD+ (N = 81) PDpreRBD− (N = 319) Adjusted odds ratio (95% CI), P valuea
Hyposmia, n (%) 97 (24.3) 38 (46.9) 59 (18.5) 3.86 (2.12 to 7.05), 0.00001
Cognitive symptoms, n (%) 20 (5.0) 10 (12.3) 10 (3.1) 3.22 (1.06 to 9.72), 0.04
Psychiatric symptoms, n (%) 77 (19.3) 22 (27.2) 55 (17.2) 1.61 (0.83 to 3.10), 0.2
Pain, n (%) 64 (16.0) 22 (27.2) 42 (13.2) 2.02 (1.02 to 4.03), 0.045
Constipation, n (%) 93 (23.3) 34 (42.0) 59 (18.5) 2.28 (1.23 to 4.22), 0.009
Other dysautonomic symptoms, n (%) 26 (6.5) 12 (14.8) 14 (4.4) 3.77 (1.59 to 8.94), 0.003

aAdjusted for sex, years of schooling, age at motor onset, and motor disease duration at recruitment using logistic regression analysis

PD Parkinson’s disease, PDRBD+ PD patients with probable premotor RBD, PDRBD− PD patients without probable premotor RBD, CI confidence interval, SD standard deviation

Among the 319 PDpreRBD− patients, those who reported post-motor RBD were comparable to those without RBD for distribution of premotor non-motor symptoms (Supplemental Table 1).

Motor progression

At enrollment, 72 patients (11/81 with PDpreRBD+ vs. 61/319 with PDpreRBD−, P = 0.2) had already reached H&Y stage ≥ 3 and were therefore excluded from the subsequent analysis. In the remaining patients (70 with PDpreRBD+ and 258 with PDpreRBD−), motor progression was prospectively evaluated for up to 9.7 ± 4.9 years (8.6 ± 4.3 years in PDpreRBD+ patients vs. 10.0 ± 5.1 years in PDpreRBD− patients, P = 0.05). PDpreRBD+ patients exhibited a more rapid progression to H&Y stage 3 than PDpreRBD− patients (Fig. 1, log-rank P = 0.005). On Cox regression analysis (Table 3), the significant association of PDpreRBD+ and H&Y stage 3 persisted even after adjusting for sex, years of schooling, age at motor onset, and initial motor phenotype (presence of tremor and bilateral motor symptoms). The mean age at H&Y stage 3 was similar in the two groups (70.9 ± 7.7 years in PDpreRBD+ patients vs. 70.5 ± 8.5 years in PDpreRBD− patients, P = 0.9).

Fig. 1.

Fig. 1

Kaplan–Meier plots of survival to Hoehn and Yahr stage 3 in patients with and without premotor RBD (PDpreRBD+ and PDpreRBD−, respectively)

Table 3.

Univariable and multivariable Cox regression analysis of predictor variables for progression to Hoehn and Yahr stage 3

Univariable model hazard ratio (95% CI), P value Multivariable model hazard ratio (95% CI), P value
Premotor RBD 1.64 (1.14 to 2.37), 0.007 1.63 (1.07 to 2.47), 0.02
Sex (F vs. M) 1.41 (1.03 to 1.93), 0.04 1.43 (0.99 to 2.07), 0.06
Years of schooling 0.96 (0.92 to 1.004), 0.08 1.00 (0.96 to 1.05), 0.9
Age at motor onset 1.07 (1.05 to 1.10), < 0.00001 1.07 (1.04 to 1.10), < 0.00001
Tremor at onset 0.81 (0.58 to 1.13), 0.2 0.83 (0.57 to 1.22), 0.2
Bilateral motor symptoms at onset 1.91 (1.26 to 2.91), 0.002 1.18 (0.72 to 1.94), 0.5

CI confidence interval

Among the 319 PDpreRBD− patients, those who reported post-motor RBD were comparable to those without RBD for motor progression to H&Y stage 3 (data not shown).

Discussion

Compared with PDpreRBD− patients, PDpreRBD+ patients developed parkinsonian motor symptoms later, exhibited a greater burden of premotor non-motor symptoms (specifically hyposmia, cognitive symptoms, pain, constipation, and dysautonomia), and showed faster progression to H&Y stage 3.

The older age at motor symptom onset in the PDpreRBD+ group is consistent with a previous report [8], and may reflect pathophysiological differences between the two PD subtypes, differences in the timing of biological disease onset, or differences in the duration of the premotor phase. Indeed, PDpreRBD+ patients might experience a longer premotor phase due to the prolonged time required for the propagation of synucleinopathy from the peripheral/enteric nervous system to the midbrain.

Although several previous studies have documented a higher non-motor burden in PD patients with RBD [21–29], these studies either did not stratify patients based on the presence of premotor RBD or did not specifically examine premotor non-motor symptoms. The higher burden of specific non-motor symptoms (including hyposmia, cognitive impairment, pain, constipation, and dysautonomia) we observed in the premotor phase of patients with premotor RBD provides novel evidence supporting the hypothesis of PD subtypes with distinct pathological origins, namely body-first and brain-first subtypes.

PDpreRBD+ and PDpreRBD− patients also exhibited differences in their motor features. The lower prevalence of tremor and the greater occurrence of bilateral motor symptoms at onset we detected in PDpreRBD+ patients align with previous studies [9, 23, 30, 31], and could be consistent with a worse prognosis. Indeed, tremor-dominant onset is regarded as a predictor of a more benign disease course, whereas symmetrical motor symptom onset has been more frequently associated with a “malignant” phenotype [1, 31–35]. The association between premotor RBD and a faster progression to H&Y stage 3 was independent of tremor, bilateral motor symptoms at onset, and other potentially confounding factors. This is a novel finding as the existing literature has provided conflicting evidence on whether the body-first and brain-first subtypes differ in terms of motor progression [9, 10, 27, 36]. While previous studies were limited by several biases, the robustness of our findings is strengthened by information on the temporal relationship between RBD and motor symptom onset, longitudinal follow-up, and an adequately sized PD sample.

This study has strengths and limitations. The absence of polysomnographic confirmation for RBD could reduce the diagnostic accuracy, increasing the risk of false negatives and, more notably, false positives, as other sleep disorders can mimic RBD [37]. However, the RBD1Q has been demonstrated to have relatively high sensitivity (93.8%, with 95% CI 90.0 to 96.2) and specificity (87.2%, with 95% CI 82.4 to 90.8) in detecting RBD [15], and the frequency of RBD in our sample (37.3%) was in line with the literature, which reports an average incidence of 42.3% in PD [38]. Nonetheless, the possibility of misclassification in categorizing patients as PDpreRBD+ or PDpreRBD− cannot be entirely ruled out. To assess non-motor symptoms, we employed concise tools instead of more extensive rating scales. These tools had the advantage of being applicable retrospectively while maintaining good accuracy. Coherently, the frequency of non-motor symptoms was consistent with those reported in other larger PD cohorts (see Supplemental Table 2) [39, 40]. Due to this approach, however, some non-motor symptoms, as well as the overall severity of non-motor symptoms, were not investigated. We did not include an objective olfaction test such as the University of Pennsylvania Smell Identification Test (UPSIT) [41] or the “Sniffin’ Sticks” [42]. This may have led to an underestimation of hyposmia frequency, even considering that many PD patients may be unaware of their hyposmia [43]. However, the finding that more PDpreRBD+ patients were aware of hyposmia suggests a higher frequency and/or severity of hyposmia in the body-first subtype, as previously demonstrated [8, 9]. The single-center design may introduce some biases. However, it also ensured standardized assessments for all patients over time and the reproducibility of evaluations. The consecutive recruitment of patients reduced the risk of selection bias, and the large sample size provided satisfactory statistical power. Retrospective data collection at enrollment might have been biased in terms of the accuracy of some information regarding the premotor phase. However, our protocol required informed family members and, where available, past medical records to confirm the patient’s information. In addition, the retrospective assessment was conducted after an average of only 4 years from motor onset, which reduced the risk of recall bias in classifying non-motor symptoms as premotor or post-motor and in defining motor onset phenotype. In contrast, assessment of motor progression was conducted prospectively, ensuring a high level of accuracy. Lastly, we used H&Y staging rather than the UPDRS part III as the outcome measure for motor progression as H&Y staging is less susceptible to confounding by antiparkinsonian treatment [44].

Despite the foregoing limitations, our findings provide new evidence supporting the hypothesis of brain-first and body-first PD subtypes, along with novel information on their natural history (Fig. 2). The observed differences in premotor non-motor burden between distinct sites of PD pathology onset may reflect pathophysiological differences and/or differences in the time elapsing between biological disease onset and the appearance of motor signs. The faster progression to H&Y stage 3 in PDpreRBD+ patients may suggest a more “aggressive” phenotype of PD or a more advanced biological stage at disease motor onset in this subgroup. Regardless of the interpretation, premotor RBD emerged as an independent predictive factor for motor progression. Its influence on the burden of premotor non-motor symptoms and on motor progression was highly specific as it was not observed in patients who developed post-motor RBD. Identifying brain-first and body-first PD subtypes at diagnosis may have important implications for prognosis communication and initial treatment selection.

Fig. 2.

Fig. 2

The natural history of body-first versus brain-first Parkinson’s disease subtypes

Supplementary Information

Below is the link to the electronic supplementary material.

Author contributions

Conceptualization: Vittorio Velucci, Giovanni Defazio. Data curation and investigation: Vittorio Velucci, Angelo Fabio Gigante, Giovanni Iliceto, Roberta Pellicciari, Barbara Vitucci, Sarah Idrissi, Giovanni Defazio. Formal analysis: Vittorio Velucci, Giovanni Defazio. Original draft preparation: Vittorio Velucci, Giovanni Defazio. Review and editing: all authors. Study supervision: Giovanni Defazio.

Funding

Open access funding provided by Università degli Studi di Bari Aldo Moro within the CRUI-CARE Agreement. No funding was received for conducting this study.

Data availability

Data are available upon reasonable request. Requests for data sharing can be sent to the corresponding author, Vittorio Velucci, at the e-mail address vittoriovelucci@gmail.com.

Declarations

Conflict of interest

The authors have no competing interests to declare that are relevant to the content of this article.

Ethical approval

This study was conducted in accordance with the principles of the Declaration of Helsinki. Ethical approval was waived by the local ethical review board because all procedures performed were part of routine clinical care.

Consent to participate

Informed consent was obtained from all individual participants included in the study.

References

  • 1.Fereshtehnejad SM, Romenets SR, Anang JB, Latreille V, Gagnon JF, Postuma RB (2015) New clinical subtypes of parkinson disease and their longitudinal progression: a prospective cohort comparison with other phenotypes. JAMA Neurol 72(8):863–873. 10.1001/jamaneurol.2015.0703 [DOI] [PubMed] [Google Scholar]
  • 2.Thenganatt MA, Jankovic J (2014) Parkinson disease subtypes. JAMA Neurol 71(4):499–504. 10.1001/jamaneurol.2013.6233 [DOI] [PubMed] [Google Scholar]
  • 3.Uchihara T, Giasson BI (2016) Propagation of alpha-synuclein pathology: hypotheses, discoveries, and yet unresolved questions from experimental and human brain studies. Acta Neuropathol 131(1):49–73. 10.1007/s00401-015-1485-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Braak H, Del Tredici K, Rüb U, de Vos RA, Jansen Steur EN, Braak E (2003) Staging of brain pathology related to sporadic Parkinson’s disease. Neurobiol Aging 24(2):197–211. 10.1016/s0197-4580(02)00065-9 [DOI] [PubMed] [Google Scholar]
  • 5.Beach TG, Adler CH, Lue L, Sue LI, Bachalakuri J, Henry-Watson J, Sasse J, Boyer S, Shirohi S, Brooks R, Eschbacher J, White CL 3rd, Akiyama H, Caviness J, Shill HA, Connor DJ, Sabbagh MN, Walker DG, Arizona Parkinson’s Disease Consortium (2009) Unified staging system for Lewy body disorders: correlation with nigrostriatal degeneration, cognitive impairment and motor dysfunction. Acta Neuropathol 117(6):613–634. 10.1007/s00401-009-0538-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Borghammer P, Van Den Berge N (2019) Brain-first versus gut-first parkinson’s disease: a hypothesis. J Parkinsons Dis 9(s2):S281–S295. 10.3233/JPD-191721 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tan S, Zhou C, Wen J, Duanmu X, Guo T, Wu H, Wu J, Cao Z, Liu X, Chen J, Wu C, Qin J, Xu J, Gu L, Yan Y, Zhang B, Zhang M, Guan X, Xu X (2023) Presence but not the timing of onset of REM sleep behavior disorder distinguishes evolution patterns in Parkinson’s disease. Neurobiol Dis 180:106084. 10.1016/j.nbd.2023.106084 [DOI] [PubMed] [Google Scholar]
  • 8.Horsager J, Andersen KB, Knudsen K, Skjærbæk C, Fedorova TD, Okkels N, Schaeffer E, Bonkat SK, Geday J, Otto M, Sommerauer M, Danielsen EH, Bech E, Kraft J, Munk OL, Hansen SD, Pavese N, Göder R, Brooks DJ, Berg D, Borghammer P (2020) Brain-first versus body-first Parkinson’s disease: a multimodal imaging case-control study. Brain 143(10):3077–3088. 10.1093/brain/awaa238 [DOI] [PubMed] [Google Scholar]
  • 9.Horsager J, Knudsen K, Sommerauer M (2022) Clinical and imaging evidence of brain-first and body-first Parkinson’s disease. Neurobiol Dis 164:105626. 10.1016/j.nbd.2022.105626 [DOI] [PubMed] [Google Scholar]
  • 10.Horsager J, Borghammer P (2024) Brain-first vs. body-first Parkinson’s disease: an update on recent evidence. Parkinsonism Relat Disord 122:106101. 10.1016/j.parkreldis.2024.106101 [DOI] [PubMed] [Google Scholar]
  • 11.Hoehn MM, Yahr MD (1967) Parkinsonism: onset, progression and mortality. Neurology 17(5):427–442. 10.1212/wnl.17.5.427 [DOI] [PubMed] [Google Scholar]
  • 12.Evans JR, Mason SL, Williams-Gray CH, Foltynie T, Brayne C, Robbins TW, Barker RA (2011) The natural history of treated Parkinson’s disease in an incident, community based cohort. J Neurol Neurosurg Psychiatry 82(10):1112–1118. 10.1136/jnnp.2011.240366 [DOI] [PubMed] [Google Scholar]
  • 13.Hughes AJ, Daniel SE, Kilford L, Lees AJ (1992) Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry 55(3):181–184. 10.1136/jnnp.55.3.181 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Tomlinson CL, Stowe R, Patel S, Rick C, Gray R, Clarke CE (2010) Systematic review of levodopa dose equivalency reporting in Parkinson’s disease. Mov Disord 25(15):2649–2653. 10.1002/mds.23429 [DOI] [PubMed] [Google Scholar]
  • 15.Postuma RB, Arnulf I, Hogl B, Iranzo A, Miyamoto T, Dauvilliers Y, Oertel W, Ju YE, Puligheddu M, Jennum P, Pelletier A, Wolfson C, Leu-Semenescu S, Frauscher B, Miyamoto M, Cochen De Cock V, Unger MM, Stiasny-Kolster K, Fantini ML, Montplaisir JY (2012) A single-question screen for rapid eye movement sleep behavior disorder: a multicenter validation study. Mov Disord 27(7):913–916. 10.1002/mds.25037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Millar Vernetti P, Perez Lloret S, Rossi M, Cerquetti D, Merello M (2012) Validation of a new scale to assess olfactory dysfunction in patients with Parkinson’s disease. Parkinsonism Relat Disord 18(4):358–361. 10.1016/j.parkreldis.2011.12.001 [DOI] [PubMed] [Google Scholar]
  • 17.Fahn S, Elton R; and members of the UDC. The Unified Parkinson’s Disease Rating Scale. In: Fahn S, Marsden CD, Calne D, Goldstein M, eds. Recent Developments in Parkinson’s Disease. Florham Park, NJ: MacMillan HealthCare Information; 1987:153–163.
  • 18.Rome F (2006) Guidelines-Rome III diagnostic criteria for functional gastrointestinal disorders. J Gastrointestin Liver Dis 15:307–312 [PubMed] [Google Scholar]
  • 19.Wenning GK, Tison F, Seppi K, Sampaio C, Diem A, Yekhlef F, Ghorayeb I, Ory F, Galitzky M, Scaravilli T, Bozi M, Colosimo C, Gilman S, Shults CW, Quinn NP, Rascol O, Poewe W, Multiple system atrophy study group (2004) Development and validation of the unified multiple system atrophy rating scale (UMSARS). Mov Disord 19(12):1391–1402. 10.1002/mds.20255 [DOI] [PubMed] [Google Scholar]
  • 20.Freeman R, Wieling W, Axelrod FB, Benditt DG, Benarroch E, Biaggioni I, Cheshire WP, Chelimsky T, Cortelli P, Gibbons CH, Goldstein DS, Hainsworth R, Hilz MJ, Jacob G, Kaufmann H, Jordan J, Lipsitz LA, Levine BD, Low PA, Mathias C, Raj SR, Robertson D, Sandroni P, Schatz I, Schondorff R, Stewart JM, van Dijk JG (2011) Consensus statement on the definition of orthostatic hypotension, neurally mediated syncope and the postural tachycardia syndrome. Clin Auton Res 21(2):69–72. 10.1007/s10286-011-0119-5 [DOI] [PubMed] [Google Scholar]
  • 21.Lee JE, Kim KS, Shin HW, Sohn YH (2010) Factors related to clinically probable REM sleep behavior disorder in Parkinson disease. Parkinsonism Relat Disord 16(2):105–108. 10.1016/j.parkreldis.2009.08.005 [DOI] [PubMed] [Google Scholar]
  • 22.Sixel-Döring F, Trautmann E, Mollenhauer B, Trenkwalder C (2011) Associated factors for REM sleep behavior disorder in Parkinson disease. Neurology 77(11):1048–1054. 10.1212/WNL.0b013e31822e560e [DOI] [PubMed] [Google Scholar]
  • 23.Romenets SR, Gagnon JF, Latreille V, Panniset M, Chouinard S, Montplaisir J, Postuma RB (2012) Rapid eye movement sleep behavior disorder and subtypes of Parkinson’s disease. Mov Disord 27(8):996–1003. 10.1002/mds.25086 [DOI] [PubMed] [Google Scholar]
  • 24.Rolinski M, Szewczyk-Krolikowski K, Tomlinson PR, Nithi K, Talbot K, Ben-Shlomo Y, Hu MT (2014) REM sleep behaviour disorder is associated with worse quality of life and other non-motor features in early Parkinson’s disease. J Neurol Neurosurg Psychiatry 85(5):560–566. 10.1136/jnnp-2013-306104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Jozwiak N, Postuma RB, Montplaisir J, Latreille V, Panisset M, Chouinard S, Bourgouin PA, Gagnon JF (2017) REM sleep behavior disorder and cognitive impairment in Parkinson’s disease. Sleep 40(8):zsx101. 10.1093/sleep/zsx101 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Pagano G, De Micco R, Yousaf T, Wilson H, Chandra A, Politis M (2018) REM behavior disorder predicts motor progression and cognitive decline in Parkinson disease. Neurology 91(10):e894–e905. 10.1212/WNL.0000000000006134 [DOI] [PubMed] [Google Scholar]
  • 27.Xu Z, Hu T, Xu C, Liang X, Li S, Sun Y, Liu F, Wang J, Tang Y (2024) Disease progression in proposed brain-first and body-first Parkinson’s disease subtypes. NPJ Parkinsons Dis 10(1):111. 10.1038/s41531-024-00730-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Cicero CE, Terravecchia C, Tabbì S, Garofalo R, Luca A, Mostile G, Donzuso G, Contrafatto D, Zappia M, Nicoletti A (2024) Exploring the relation between REM sleep behavior disorder onset and striatal dopaminergic dysfunction in Parkinson’s Disease. J Neurol 272(1):75. 10.1007/s00415-024-12799-y [DOI] [PubMed] [Google Scholar]
  • 29.Martinez-Nunez AE, Hutchinson H, Coutinho P, Sarmento FP, Lavu VS, Yuan Q, Dwarampudi JMR, Gunduz A, Pontone GM, Okun MS, Wong JK (2025) Clinically probable RBD is an early predictor of malignant non-motor Parkinson’s disease phenotypes. NPJ Parkinsons Dis 11(1):25. 10.1038/s41531-025-00874-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Bliwise DL, Trotti LM, Greer SA, Juncos JJ, Rye DB (2010) Phasic muscle activity in sleep and clinical features of Parkinson disease. Ann Neurol 68(3):353–359. 10.1002/ana.22076 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Merola A, Romagnolo A, Dwivedi AK, Padovani A, Berg D, Garcia-Ruiz PJ, Fabbri M, Artusi CA, Zibetti M, Lopiano L, Pilotto A, Bonacina S, Morgante F, Zeuner K, Griewing C, Schaeffer E, Rodriguez-Porcel F, Kauffman M, Turcano P, de Oliveira LM, Palermo G, Shanks E, Del Sorbo F, Bonvegna S, Savica R, Munhoz RP, Ceravolo R, Cilia R, Espay AJ (2020) Benign versus malignant Parkinson disease: the unexpected silver lining of motor complications. J Neurol 267(10):2949–2960. 10.1007/s00415-020-09954-6 [DOI] [PubMed] [Google Scholar]
  • 32.Jankovic J, McDermott M, Carter J, Gauthier S, Goetz C, Golbe L, Huber S, Koller W, Olanow C, Shoulson I et al (1990) Variable expression of Parkinson’s disease: a base-line analysis of the DATATOP cohort The Parkinson Study Group. Neurology 40(10):1529–1534. 10.1212/wnl.40.10.1529 [DOI] [PubMed] [Google Scholar]
  • 33.Marras C, Rochon P, Lang AE (2002) Predicting motor decline and disability in Parkinson disease: a systematic review. Arch Neurol 59(11):1724–1728. 10.1001/archneur.59.11.1724 [DOI] [PubMed] [Google Scholar]
  • 34.Marinus J, van Hilten JJ (2015) The significance of motor (a)symmetry in Parkinson’s disease. Mov Disord 30(3):379–385. 10.1002/mds.26107 [DOI] [PubMed] [Google Scholar]
  • 35.Belvisi D, Fabbrini A, De Bartolo MI, Costanzo M, Manzo N, Fabbrini G, Defazio G, Conte A, Berardelli A (2021) The pathophysiological correlates of parkinson’s disease clinical subtypes. Mov Disord 36(2):370–379. 10.1002/mds.28321 [DOI] [PubMed] [Google Scholar]
  • 36.Bovenzi R, Pierantozzi M, Conti M, Carignani S, Fernandes M, Schirinzi T, Cerroni R, Mercuri NB, Stefani A, Liguori C (2024) Parkinson’s disease motor progression in relation to the timing of REM sleep behavior disorder presentation: an exploratory retrospective study. J Neural Transm (Vienna) 131(3):239–244. 10.1007/s00702-024-02739-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Antelmi E, Lippolis M, Biscarini F, Tinazzi M, Plazzi G (2021) REM sleep behavior disorder: mimics and variants. Sleep Med Rev 60:101515. 10.1016/j.smrv.2021.101515 [DOI] [PubMed] [Google Scholar]
  • 38.Boeve BF, Silber MH, Saper CB, Ferman TJ, Dickson DW, Parisi JE, Benarroch EE, Ahlskog JE, Smith GE, Caselli RC, Tippman-Peikert M, Olson EJ, Lin SC, Young T, Wszolek Z, Schenck CH, Mahowald MW, Castillo PR, Del Tredici K, Braak H (2007) Pathophysiology of REM sleep behaviour disorder and relevance to neurodegenerative disease. Brain 130(Pt 11):2770–2788. 10.1093/brain/awm056 [DOI] [PubMed] [Google Scholar]
  • 39.Barone P, Antonini A, Colosimo C, Marconi R, Morgante L, Avarello TP, Bottacchi E, Cannas A, Ceravolo G, Ceravolo R, Cicarelli G, Gaglio RM, Giglia RM, Iemolo F, Manfredi M, Meco G, Nicoletti A, Pederzoli M, Petrone A, Pisani A, Pontieri FE, Quatrale R, Ramat S, Scala R, Volpe G, Zappulla S, Bentivoglio AR, Stocchi F, Trianni G, Dotto PD, PRIAMO study group (2009) The PRIAMO study: a multicenter assessment of nonmotor symptoms and their impact on quality of life in Parkinson’s disease. Mov Disord 24(11):1641–1649. 10.1002/mds.22643 [DOI] [PubMed] [Google Scholar]
  • 40.Fernandes M, Pierantozzi M, Stefani A, Cattaneo C, Bonizzoni EA, Cerroni R, Mercuri NB, Liguori C (2021) Frequency of non-motor symptoms in parkinson’s patients with motor fluctuations. Front Neurol 29(12):678373. 10.3389/fneur.2021.678373 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Doty RL, Shaman P, Dann M (1984) Development of the university of Pennsylvania smell identification test: a standardized microencapsulated test of olfactory function. Physiol Behav 32(3):489–502. 10.1016/0031-9384(84)90269-5 [DOI] [PubMed] [Google Scholar]
  • 42.Hummel T, Sekinger B, Wolf SR, Pauli E, Kobal G (1997) “Sniffin” sticks’: olfactory performance assessed by the combined testing of odor identification, odor discrimination and olfactory threshold. Chem Senses 22(1):39–52. 10.1093/chemse/22.1.39 [DOI] [PubMed] [Google Scholar]
  • 43.Doty RL, Deems DA, Stellar S (1988) Olfactory dysfunction in parkinsonism: a general deficit unrelated to neurologic signs, disease stage, or disease duration. Neurology 38(8):1237–1244. 10.1212/wnl.38.8.1237 [DOI] [PubMed] [Google Scholar]
  • 44.Skorvanek M, Martinez-Martin P, Kovacs N, Rodriguez-Violante M, Corvol JC, Taba P, Seppi K, Levin O, Schrag A, Foltynie T, Alvarez-Sanchez M, Arakaki T, Aschermann Z, Aviles-Olmos I, Benchetrit E, Benoit C, Bergareche-Yarza A, Cervantes-Arriaga A, Chade A, Cormier F, Datieva V, Gallagher DA, Garretto N, Gdovinova Z, Gershanik O, Grofik M, Han V, Huang J, Kadastik-Eerme L, Kurtis MM, Mangone G, Martinez-Castrillo JC, Mendoza-Rodriguez A, Minar M, Moore HP, Muldmaa M, Mueller C, Pinter B, Poewe W, Rallmann K, Reiter E, Rodriguez-Blazquez C, Singer C, Tilley BC, Valkovic P, Goetz CG, Stebbins GT (2017) Differences in MDS-UPDRS scores based on hoehn and yahr stage and disease duration. Mov Disord Clin Pract 4(4):536–544. 10.1002/mdc3.12476 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

Data are available upon reasonable request. Requests for data sharing can be sent to the corresponding author, Vittorio Velucci, at the e-mail address vittoriovelucci@gmail.com.


Articles from Journal of Neurology are provided here courtesy of Springer

RESOURCES