Abstract
Non-motor symptoms (NMS) in Parkinson’s disease (PD), including neuropsychiatric or dysautonomic complaints, fatigue, or pain, are frequent and have a high impact on the patient’s quality of life. They are often poorly recognized and inadequately treated. In the recent years, the growing awareness of NMS has favored the development of techniques that complement the clinician’s diagnosis. This review provides an overview of the most important ultrasonographic findings related to the presence of various NMS. Literature research was conducted in PubMed, Scopus, and Web of Science from inception until January 2021, retrieving 23 prospective observational studies evaluating transcranial and cervical ultrasound in depression, dementia, dysautonomic symptoms, psychosis, and restless leg syndrome. Overall, the eligible articles showed good or fair quality according to the QUADAS-2 assessment. Brainstem raphe hypoechogenicity was related to the presence of depression in PD and also in depressed patients without PD, as well as to overactive bladder. Substantia nigra hyperechogenicity was frequent in patients with visual hallucinations, and larger intracranial ventricles correlated with dementia. Evaluation of the vagus nerve showed contradictory findings. The results of this systematic review demonstrated that transcranial ultrasound can be a useful complementary tool in the evaluation of NMS in PD.
Keywords: transcranial sonography, Parkinson’s disease, non-motor symptoms, systematic review, depression, apathy, autonomic dysfunction, bladder dysfunction, restless legs syndrome, sleep disorders, cognitive disorders, dementia, hallucinations, apathy
1. Introduction
Parkinson’s disease (PD) is a chronic progressive neurodegenerative disorder characterized not only by its motor aspects, but also by numerous non-motor symptoms (NMS) that encompass neuropsychiatric manifestation, sensory abnormalities, behavioral changes, sleep disturbances, and autonomic dysfunction. NMS may be the presenting clinical feature of PD in over 20% of individuals, which usually delays PD diagnosis and an early appropriate treatment [1]. Various studies have demonstrated that NMS have a greater impact on quality of life than motor manifestations, even during the first years after diagnosis. Moreover, hallucinations have been pointed out as the strongest predictor of nursing home placement for people with PD [2].
Depression and apathy are common in PD, with 40% of patients presenting apathy and 17% suffering from a major depressive disorder, occurring at any time during the course of the disease [3,4]. Common autonomic complaints are orthostatic hypotension, gastrointestinal dysfunction, and urinary symptoms. Together with REM sleep behavior disorder (RBD), they present a prevalence in the range of 25–50% [1].
During the last decades, there has been a growing use of transcranial sonography (TCS) to evaluate brainstem and subcortical brain structures as a complementary tool in the diagnosis of PD. TCS is reliable and sensitive in detecting basal ganglia abnormalities and has proven its potential to identify idiopathic PD from healthy controls based on substantia nigra (SN) hyperechogenicity, which is present in 67 to 95% PD patients compared to 3 to 9% in subjects without PD [5,6,7].
A review of TCS findings associated to NMS in PD performed by Walter et al. in 2010 showed evidence that some midbrain changes may be related to NMS and can contribute to their identification [8]. Since then, several studies exploring this topic have been published and new techniques have been developed.
The aim of the systematic review is to provide a clear view on the most relevant abnormalities identified with TCS and other ultrasound techniques that can be related to the presence of NMS in PD. The main NMS addressed are depression, anxiety, apathy, hallucinations, cognitive disorders, autonomic dysfunction, restless legs syndrome, sleep disorders, pain, fatigue, anosmia, ageusia, and libido alterations.
2. Materials and Methods
2.1. Search Strategy
This protocol follows the guidelines according to the preferred reporting items for systematic reviews and meta-analysis protocol (PRISMA-P) [9]. It was registered in the PROS PERO international database of prospectively registered systematic reviews (CRD 42021250195). PubMed, Scopus, and Web of Science electronic databases were searched for articles in English or Spanish, published up to January 2021, and with the following criteria: cross-sectional, case-control, and cohort observational studies including patients with Parkinson’s disease, ultrasound assessment of neurological structures and evaluation of NMS, analyzing differences between echogenicity and/or size of the evaluated structures between PD suffering or not from a specific NMS. Case reports were excluded. The search query was: (“non-motor symptoms” OR “depression” OR “fatigue” OR “low blood pressure” OR “autonomic dysfunction” OR “orthostatic hypotension” OR “bladder dysfunction” OR “restless legs syndrome” OR “sleep disorders” OR “REM-sleep behavior disorder” OR “pain” OR “cognitive disorders” OR “anxiety” OR “hallucinations” OR “delusions” OR “anosmia” OR “apathy” OR “ageusia” OR “libido” OR “constipation”) AND (“Parkinson’s disease” OR “PD”) AND (“transcranial sonography” OR “ultrasound” OR “transcranial ultrasonography”).
In addition to the database search, a manual revision of the reference lists of all relevant articles was performed to identify additional studies of interest.
2.2. Selection of Studies
Two researchers (C.T. and L.A.) separately reviewed the titles and abstracts of the retrieved articles to determine the presence of the abovementioned criteria. Disagreements were solved by the consensus of a third author (P.M.). Duplicated entries, studies on diseases different from PD or evaluation techniques other than ultrasound, papers not written in English or Spanish, publications that were not research studies, and any other article that did not fit with the scope of the review were excluded.
2.3. Data Extraction
Upon manuscript selection, the following information was extracted: the number of participants and socio-demographic characteristics, the assessed NMS and the evaluation protocol or diagnostic strategies, the ultrasound modalities, and the major findings reported.
A limited number of studies were expected to be found by the systematic search and they were expected to be clinically and methodologically heterogeneous. Likewise, some of the results were based on qualitative findings. Therefore, conducting a meta-analysis was not included in this protocol.
2.4. Quality Assessment
The risk of bias of the included studies was evaluated using QUADAS-2 [10] for assessing the risk of bias recommendations by The Cochrane Collaboration. In this review, there is no gold standard test for comparison of the ultrasound findings. Consequently, we considered the proposed diagnosis criteria of the non-motor syndrome, based on validated scales or neurologist advice, for each study as the reference gold standard.
3. Results
After removing duplicates, the database search yielded 263 results. An additional 14 studies were identified through the references of the principal records. A total of 277 publications were screened for eligibility and 254 studies were excluded for the following reasons: publications involving different pathologies, symptoms evaluated in a population different from PD, systematic reviews, and animal experimental studies. The PRISMA Flow Diagram is shown in Figure 1. Eventually, 23 studies were included and are summarized in Table 1.
Figure 1.
PRISMA Flow Diagram.
Table 1.
Study characteristics.
STUDY | Population N, Age/Male | Symptom Evaluation | Ultrasound Evaluation | Main Findings | Other Findings |
---|---|---|---|---|---|
Depression | |||||
Becker, 1997 [11] | 30 PD+. 68,3/25 30 PD– 65/24 |
DSM-III HDRS CGI-S | TCS, 2.25 MHz. BR echogenicity * Ventricles Width |
PD+, D+: ↓BR echogenicity, ↑lateral ventricles. Correlation: BR echogenicity and D severity. |
No differences PD+, D− and healthy controls. |
Berg, 1999 [12] | 31 PD+ 65,5/16 |
DSM-IV HDRS BDI | TCS, 2.5 MHz. BR echogenicity * |
PD+, D+: ↓BR echogenicity |
MRI: PD+, D+: hyperintense mesencephal ic midline |
Walter, 2007a [13] | 101 PD+ 66,6/58 |
DSM IV | TCS, 2.5 MHz. BR echogenicity ^ |
PD+, D+: ↓ BR echogenicity |
N.R. |
Walter, 2007b [14] | 45PD+, D+ 45PD+, D− 55 PD−, D+ 55PD−, D− 61/84 |
DSM IV DRS BDI | TCS, 2.5 MHz. SN echogenicity (N < 20 mm2) BR echogenicity ^. |
PD+, D+: ↓BR echogenicity. PD+, D+ vs. D−: No difference in SN. ↑SN, ↓BR: Depression prior to PD diagnosis |
PD−, D+: ↑SN |
Cho, 2011 [15] | 61 PD+ 68/38 41 PD−, D– 58/28 |
HDRS BDI | TCS, 2.5 MHz. BR echogenicity * |
PD+, D+: ↓BR echogenicity, Correlation: ↓ BR echogenicity and ↑Hamilton Depression Scale. |
PD + D+: higher motor severity |
Stankovic, 2015 [16] | 118 PD+ 61/72 |
HARS Apathy Scale MADRS |
TCS, 2.5 MHz SN echogenicity (N < 19 mm2) BR echogenicity * |
PD+, D+: ↓BR echogenicity (> sadness, pessimism, >anxiety) |
↓BR echogenicity, ↑L-Dopa motor complications. |
Bouwmans, 2016a [17] | 72 PD+, 68/N.R. 54 other PK 72/N.R. |
HDRS | TCS, 2–4 MHz. SN echogenicity (N < 20 mm2) BR echogenicity ^ 3rd. ventricle Width |
No differences (Only 16 D+) | N.R. |
Zhang, 2016 [18] | 80 PD+ 40 PD− D+ 40 PD– D− 61/97 |
HDRS BDI | TCS, 2.5 MHz BR echogenicity † |
PD+, D+ and PD−, D+: ↓BR echogenicity. Correlation: ↓ BR echogenicity and ↑HDRS, BDI. |
N.R. |
Toomsoo, 2017 [19] | 266 PD+ 168 PD– 69,7/228 |
BDI | TCS, 1.8–3.6 MHz SN echogenicity (N < 20 mm2) BR echogenicity * |
PD + D+ and PD− D +: ↓BR echogenicity. Correlation: ↓ BR echogenicity and ↑BDI |
Correlation: D and PD duration, motor and cognitive impairment. |
Liu, 2018 [20] | 30 D+ PD+ 30 D− PD+ 24 D+ PD− |
HDRS | TCS, 2.5 MHz BR echogenicity ^ SN echogenicity |
PD+, D+ and PD− D+: ↓BR echogenicity. No |
Platelet serotonin. |
28 D– PD− 55/56 |
Platelet serotonin levels |
(N < 20 mm2). 3rd. ventricle width |
association SN and RN echogenicity. | Levels: no differences. | |
Ritcher, 2018 [21] | 31 PD+ 16 ET+ 16 PD−, ET− |
Lille apathy rating scale. BDI | TCS, 2.5 MHz. SN echogenicity (N < 20 mm2) BR echogenicity * |
PD+: ↓BR echogenicity. Correlation: ↓ BR echogenicity and ↑Apathy, Beck Scores. |
No difference: SN in ET+ and controls. |
Bei, 2020 [22] | 135 PD+ 63/83 |
HDRS HARS | TCS, 2.5 MHz SN echogenicity (N < 20 mm2) BR echogenicity ^ |
D+, Anxiety+: ↓BR echogenicity. Correlation: ↓ BR echogenicity and ↑Hamilton Scores, PDQ-39 |
No relation BR and motor symptoms. |
Dementia | |||||
Walter, 2006a [23] | 104 PD+ 14 DLB+ 70/69 |
MMSE Addenbrooke cognitive examination |
TCS, 2.5 MHz SN echogenicity (N < 20 mm2) Thalami, Caudate, BR echogenicity ^, 3rd. ventricle Width |
PD + Dementia+: ↑ lateral frontal (17.3 mm), 3rd ventricle (8.6 mm) widths. | DLB+ vs. PD+ dementia +: Bilateral ↑ SN in DLB+. Similar ventricle widths. |
Walter, 2007a [13] | 101 PD+ 66,6/58 |
DSM IV MMSE | TCS, 2.5 MHz. ventricles width |
PD + Dementia+: Lateral frontal horn ≥15.4 mm |
↑Caudate echogenicity: ↑drug- induced psychosis. |
Bouwmans, 2016b [24] | 72 PD+ 68/70 54 other PK 72/80 |
SCOPA-COG: PD cognition Scale. |
TCS, 2–4 MHz. SN echogenicity (N < 20 mm2) BR echogenicity ^, 3rd. ventricle width |
Larger 3rd ventricle in PD+ and cognitive impairment. SN: Not related to cognition. | Atypical PK + cognitive symptoms: ↓BR echogenicity (not in PD) |
Dong, 2017 [25] | 98 PD+ 77/68 40 PD– 65/27 |
Dementia clinical diagnosis. MMSE MoCA PD-NMSQ |
TCS, 2.5 MHz. SN echogenicity (N < 20 mm2) 3rd. ventricle width (Normal < 7/10 mm under/over 60 y.) |
Larger 3rd ventricle in PD+ with dementia. Cutoff 6.8 mm (S: 69.6%, Sp: 61.5%). SN: Not related with cognition. |
3rd. ventricle: No differences PD without dementia and controls. |
Autonomic dysfunction | |||||
Walter, 2006b [26] | 116 PD+ 66,5/65 |
Overactive bladder symptoms (other causes ruled out) |
TCS, 2.5 MHz. BR echogenicity * SN echogenicity, thalamus, 3rd.ventricle width |
Overactive bladder: ↓BR echogenicity. |
N.R. |
Fedtke, 2018 [27] | 32 PD+ 30 PD− 70/40 |
UPDRS I–IV | HRUS Vagus nerve (cervical CSA) |
No differences PD+, PD−. No correlation with UPDRS I-IV. | Positive correlation: Right CSA and bradykinesia score. |
Pelz, 2018 [28] | 35 PD+ 35 PD– 67/34 |
PD-NMSQ, MoCA | 15 MHz HRUS Vagus nerve (cervical CSA) |
PD+: Smaller bilateral CSA. No | N.R. |
correlation with PD− NMSQ. | |||||
Walter, 2018 [29] | 20 PD+ 73/13 61 PD− 45/23 |
PD-NMSQ, heart rate variability (R-R) |
15 MHz HRUS Vagus, spinal, accessory, phrenic nerves (cervical CSA) |
PD+: Smaller bilateral CSA. Negative Correlation: CSA and PD-NMSQ, autonomic items. Heart rate variability and right CSA in PD + and PD−. No differences in other nerves |
Left CSA correlates with motor severity. |
Restless legs syndrome | |||||
Kwon, 2010 [30] | 63 PD+ 65/30 40iRLS+ 53/21 40 controls 69/21 |
Sleep questionnaire Neurologist assessment | TCS, 2.5 MHz. SN echogenicity (N < 20 mm2) |
SN: No differences in PD + with and without RLS. | iRLS+: ↓↓SN size than PD+ and controls. |
Ryu, 2011 [31] | 44PD+ 41iRLS+ 35 controls 60–71 |
RLS Diagnostic criteria |
TCS, 2.5 MHz. SN echogenicity (N < 20 mm2) |
SN: No differences in PD + with and without RLS. | iRLS +: ↓↓SN size than PD+ and controls. |
Hallucinations and psychosis | |||||
Zhou, 2016 [32] | 201 PD+ 92 PD– 60/193 |
PD-NMSQ Odor test RBDSQ SCOPA-AUT MMSE HDRS |
TCS, 2.5 MHz. SN echogenicity (N < 18 mm2) |
No correlation SN and non-motor symptoms | Correlation: SN and UPDRS-II score |
Li, 2020 [33] | 111 PD+ 61 PD– 66;63/110 |
PD-NMSQ Sleep Scale, Constipation, Fatigue, MMSE HDRS, HARS |
TCS, 1.82 MHz. SN echogenicity (N < 23.5 mm2) |
PD with hallucinations: ↑ SN echo-size |
No other differences |
BDI: Beck’s Depression Inventory, BR: Brainstem Raphe, CGI-S: Clinical Global Impression-Severity scale, CSA: cross-sectional area, D+: depression, D-: no depression, DLB+: dementia with Lewy bodies, DSM: Diagnostic and Statistical Manual of Mental Disorders, ET+: essential tremor, ET-: no essential tremor, HARS: Hamilton Anxiety Rating Scale, HDR: Hamilton Depression Rating Scale, HRUS: high resolution ultrasound, iRLS: idiopathic restless legs syndrome, MADRS: Montgomery–Asberg Depression Rating Scale, MMSE: Minimental State Examination, MoCA: Montreal Cognitive Assessment, N: normal reference value, N.R.: not reported, PD+: Parkinson’s disease, PD−: No Parkinson’s disease, PD-NMSQ: Non-Motor Symptoms Questionnaire for patients with Parkinson’s disease, PK: Parkinsonism, RBDSQ: Rapid Eye Movement Sleep Behavior Disorder Screening Questionnaire, iRLS+: idiopathic Restless Leg Syndrome, SCOPA-AUT: Scale for outcomes in PD of autonomic symptoms, SN: Substantia nigra, TCS: transcranial sonography, UPDRS: the Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale. ↑ Increase or improved, ↓ Decreased or worsened. * Three grades semiquantitative scale using the hyperechogenic red nucleus as a reference point: 1 = raphe not visible/isoechogenic raphe compared with adjacent brainstem parenchyma, 2 = slightly echogenic raphe, 3 = normal raphe echogenicity (echogenicity of the raphe is identical to that of the red nucleus). ^ Two grades semiquantitative scale: 1 = not visible or interrupted echogenicity; 2 = continuous echogenicity compared to red nucleus. † Four grades semiquantitative scale: 1 = invisible raphe, echogenic raphe was not visible; 2 = interrupted raphe, echogenic raphe was interrupted compared with the red nucleus; 3 = decreased raphe, echogenic raphe was decreased compared with the red nucleus, but it was continuous; 4 = normal raphe, with the same echogenicity of red nucleus. Grades 1–3 are determined as abnormal.
3.1. Study Characteristics
The included studies were published between 1997 and 2020, with 60% published during the last five years. The articles consisted of cross-sectional, case-control, and cohort prospective studies, including mainly patients with PD, healthy controls, and non-PD patients with depression or other NMS. The mean participant sample size was 133 (SD = 85.2; range = 81–143). The PD participants’ ages ranged from 45 to 77, with a majority being male patients. The disease duration varied considerably between studies and within each study, ranging from 30 months to 15 years. Three studies included newly diagnosed PD. The main NMS evaluated was depression (12 articles), followed by dementia (4 studies), and dysautonomic symptoms (4 studies). Standardized clinical scales and neurologist or psychiatrist evaluation were the preferred instrument used for assessing NMS, summarized in Table 1. Main referred structures identified by transcranial ultrasound can be found in Appendix A.
3.2. Quality Assessment
We analyzed the quality of the studies using the QUADAS-2 tool. Most of the observational studies showed a low risk of bias. Regarding patient selection, the main limitations were that the sample was not based in an epidemiological registry and in a few studies, selection criteria were not clearly described. For the index test, most studies were homogeneous, describing the pre-stablished evaluation criteria, with more than one experienced evaluator blinded to the patient diagnosis. In addition, inconsistent application of reference standard and not having a clear time of application were identified (Figure 2).
Figure 2.
Assessment of risk of bias of studies. QUADAS-2 tool. QUADAS-2, Quality Assessment of Diagnostic Accuracy Studies-2.
3.3. Main Findings
3.3.1. Depression
In 1997, Becker el al. [11] evaluated for the first time ultrasound midbrain changes in depressed PD patients, comparing with non-depressed PD patients and non-PD control subjects. They reported a relationship between BR hypoechogenicity and the presence of depression, with an inverse correlation between the grade of echogenicity and the severity of depression (ρ = −0.646, p < 0.001). They also found a significant enlargement of the lateral ventricles compared to non-depressed PD patients. In 1999, Berg et al. [12] analyzed RMI and ultrasound midbrain changes in 31 PD patients, they found that BR echogenicity was significantly reduced in depressed PD patients, which was consistent with the findings previously reported. However, no correlation between midbrain intensity in RMI and BR echogenicity was demonstrated. Since then, many authors have studied brain parenchy mal ultrasound characteristics and related them to NMS, especially to the presence of de pression. BR hypoechogenicity, found in 35 to 85% depressed PD patients compared to 6 to 27% in controls, was associated with concomitant depression in PD patients in all revised studies [11,12,13,14,15,16,18,19,20,21,22], except for one which involved 126 early stage PD patients and compared BR and SN alterations between depressed (only 16 out of the 72 included subjects) and non-depressed patients based on the Hamilton Depression Rating Scale [17]. In addition, BR hypoechogenicity was also more frequent in non-PD patients with unipolar depression [14,18,20]. Interestingly, when compared to healthy controls, non-depressed PD patients showed no differences in BR echogenicity [11,14,15,18,19,20,21]. Most of the studies reported a correlation between BR hypoechogenicity and the severity of depressive symp toms independently of age, disease duration, and Hoehn and Yahr stage [11,15,16,18,19,21,22]. One study analyzed platelet serotonin levels as a biomarker of depression and correlated them with the TCS findings, without evidencing a significant relation [20]. Apathy, pessimistic thoughts, and anxiety were also related to BR hypoechogenicity [16,21].
In a study by Walter et al. [14] with 200 patients, 45 PD without depression, 45 PD with a depressive syndrome, and 110 non-PD patients, 55 of them with depression, SN hyperechogenicity was found in 40% non-PD patients with depression, 69% PD without depression and 87% depressed PD subjects, while it was only found in 3% of healthy controls. Non-Parkinsonian subjects with depression had a 3-fold higher frequency of SN hyperechogenicity compared to controls. Moreover, the combination of marked SN hyperechogenicity and reduced raphe echogenicity was significantly associated with a history of depressive disorder prior to onset of PD and with motor asymmetry in non-PD subjects with depression [14].
3.3.2. Dementia
Four studies focused on the link between midbrain ultrasound changes and cognitive impairment or dementia in PD patients. They included a total of 375 PD subjects with and without dementia, 54 patients with other Parkinsonism, 14 patients with dementia with Lewy bodies (DLB), and 40 healthy controls [13,23,24,25]. Frontal horn dilatation and third ventricle dilatation were associated with dementia and the width of both ventricles corre lated with age but not with PD duration. No differences were identified between PD patients without dementia and controls [13,23,24,25]. Walter et al. [13] found that PD subjects with dementia had larger third ventricle width (8.7 ± 2.1 vs. 6.9 ± 2.5 mm; p = 0.002) and frontal horn width (17.3 ± 3.1 vs. 14.9 ± 3.1 mm; p = 0.003) compared to PD patients without dementia. Frontal horn was found to discriminate dementia in PD slightly better (AUC, 0.70; p = 0.006) than third ventricle (AUC, 0.69; p = 0.007), with a proposed cutoff value ≥ 15.4 mm for 82% sensitivity and 58% specificity [13].
In addition, based on the ROC curve, Dong et al. [25] suggested that a third ventricle width cut-off of 6.8 mm had a 69.6% sensitivity and a 61.5% specificity for discriminating between PD patients with and without dementia.
No differences in SN sizes were found in PD patients with dementia compared to those without dementia, both showing a larger SN than healthy controls [13,24,25]. The study of SN was useful to discriminate between DLB and PD, based on SN asymmetry and echogenic size [23].
Interestingly, in the group of atypical Parkinsonism, a significantly higher frequency of hypoechogenic BR was described in subjects with cognitive impairment compared to atypical Parkinsonisms without cognitive impairment [24].
3.3.3. Autonomic Dysfunction
For the purpose of this review, the term autonomic dysfunction comprises all the symptoms derived from organs mainly dependent on the autonomic nervous system, such as constipation or urinary incontinence, even if the neurological mechanisms responsible for these symptoms in PD patients are not fully clarified and may present a central, peripheral, or combined pathophysiological mechanism.
Regarding urinary symptoms, Walter et al. [26] studied TCS characteristics (SN echogenic size and BR, thalami, lenticular nuclei and heads of caudate nuclei echogenicity, and widths of third ventricle and of frontal horns of lateral ventricles) in 116 PD patients divided into two groups, PD patients with overactive bladder symptoms (OAB) and PD patients without OAB symptoms, assessed by a clinical interview with the neurologist. Alternative etiologies of OAB were ruled out. BR hypoechogenicity was more pronounced in subjects with longer duration of urinary symptoms, with no other differences identified in the rest of the analyzed structures. Other authors evaluated the relation of midbrain transcranial structures and autonomic specific items in the Non-Motor Symptoms Questionnaire for patients with PD (PD-NMSQ), as well as the Scale for Outcomes in PD, autonomic symptoms (SCOPA-AUT) [32,33]. The PD-NMSQ consists of 30 items that address nine domains including gastrointestinal, cardiovascular, and urinary symptoms, sexual function, cognition (apathy, attention, memory), presence of hallucinations, depression or anxiety, sleep disorders, pain, and fatigue [34]. The SCOPA-AUT includes 25 items assessing autonomic symptoms: gastrointestinal, urinary, cardiovascular, thermoregulatory, pupillomotor, and sexual dysfunction [35]. None of the included studies reported any relevant relation between PD-NMSQ and SCOPA-AUT scores and the US findings [32,33].
In recent years, four studies have been published evaluating the vagus nerve diameter and cross-sectional area (CSA) in the cervical region by high resolution ultrasound, comparing between PD patients and healthy subjects [27,28,29,36]. In three of them, NMS were assessed with the Unified Parkinson’s Disease Rating Scale, part I (UPDRS I) [37], which has four questions concerning intellectual impairment, thought disorder, depression, and motivation/initiative [27], and with the PD-NMSQ [28,29]. Electrocardiographic heart rate variability was also analyzed as a marker of vagal cardiac innervation [29]. Walter et al. [29] found significant bilateral atrophy of the vagus nerve without differences in the spinal accessory or the phrenic nerves in PD patients compared to age-matched controls. Moreover, bilateral vagus nerve CSA correlated negatively with the PD-NMSQ total score (r = −0.51; p = 0.001) and with the sum score of autonomic items of the PD-NMSQ (r = −0.46; p = 0.003). Heart rate variability correlated only with the right vagus nerve CSA (r = 0.58; p = 0.001) [29]. Pelz et al. [28] obtained similar results regarding vagus CSA but did not demonstrate correlation with the PD-NMSQ. Contrary to this, Fedtke et al. [27] found no differences in the SCA in both groups.
3.3.4. Restless Leg Syndrome
The TSC findings of 107 PD patients, 81 subjects with idiopathic restless leg syndrome (iRLS) and 75 age- and sex-matched healthy controls were analyzed in two studies [30,31]. SN echogenicity was significantly decreased in iRLS patients and increased in PD− RLS. Likewise, iRLS SN was significantly hypoechogenic compared to healthy controls [30,31]. No differences in SN were found between PD patients with and without RLS [30,31].
3.3.5. Hallucinations and Psychosis
Walter et al. [13] found an association between the caudate nuclei hyperechogenicity and the presence of drug-induced psychosis in a group of 101 PD subjects. This finding was independent from PD duration. More recently, Li et al. [33] compared the TCS findings in a group of 111 PD patients and 61 non-PD controls, evaluating the presence of NMS with the PD-NMSQ, the Parkinson’s disease sleep scale, addressing sleep and nocturnal disability [38], the constipation severity instrument [39], and the Parkinson’s disease Fatigue Scale [40]. They reported, for the first time, that the SN echogenic area in PD patients with visual hallucinations (VH) was significantly higher than in those without VH. This finding was constant after adjusting by age, disease duration, and Minimental State Examination and UPDRS scores [33].
4. Discussion
The present systematic review aimed to provide a comprehensive analysis of the available literature reporting ultrasound findings in NMS in PD population. Given the expanding awareness of non-motor complaints in PD, we believe that such a review was necessary to better delineate the usefulness of ultrasound in the diagnosis and understanding of those features.
4.1. Brainstem Raphe
In the revised literature, BR hypoechogenicity has been related with depressive states in PD patients [11,12,13,14,15,16,18,19,20,21,22]. Reduced echogenicity of BR was more frequent in PD patients (25 to 30%) compared to controls (6 to 9%) [13,14], with a 3.5 higher risk of developing depression compared to non-depressed PD population [16]. This alteration had been previously reported for non-Parkinsonian patients with unipolar depression and depressive mood disorders, with a prevalence of 50–70% [41,42] and was confirmed in the studies comparing PD with depression and depressed patients without PD [14,18,20]. The same TCS pattern has been described in depressive patients suffering from other neurological conditions such as Wilson’s disease and Huntington disease [43,44], but not in multiple sclerosis [45,46].
There is no consensus about the association between BR hypoechogenicity and the severity of depressive symptoms, although some groups showed a negative significant correlation. In depressed non-PD patients, the presence of BR hypoechogenicity seems to predict a better response to serotonin reuptake inhibitors with 70% sensitivity, 88% specificity, and 88% positive predictive value [42].
The BR sonographic findings could be correlated to an increase in the signal intensity of the brainstem midline (raphe) on T2-weighted images on MRIs performed in depressed patients with and without PD [12], suggesting a structural disruption of the BR. These similarities in depressive patients with and without PD support the hypothesis of a structural alteration of the mesencephalon with a common pathophysiological basis [45].
Anatomically, the echogenic midline represents various nuclei and fiber tracts connecting serotonergic, dopaminergic, and noradrenergic brainstem nuclei with subcortical and cortical brain areas. The dorsal raphe nucleus is one of the BR structures and is considered the major origin for serotonin release in the brain [47]. A reduced echogenic signal of the BR could be due to alterations in the micro-architecture of this region, confirmed by a few histological reports, reflecting a serotonin deficiency which is involved in depression pathophysiology [45]. Depressed PD patients have low concentrations of serotonin, dopamine, and noradrenalin or their metabolites in cerebrospinal fluid [48]; this has been compared to platelet serotonin levels as a peripheral biomarker for depression, without success [21,49].
Serotonergic systems affection has also been proposed as a cause of overactive bladder in PD, activity in the serotonergic pathway generally enhances sympathetic innervation tone and detrusor hyperreflexia [50]. Epidemiological studies in humans have suggested an association between urinary incontinence and depression [51]. In agreement with these reports, Walter et al. [26] found a significant hypogenic BR in PD patients with OAB. Moreover, there was a greater number of OAB patients suffering from dysthymia or major depressive disorder. In line with these data, in a recent study by Roy et al., mean MRI diffusivity in the ventral brainstem, in areas close to the pontine micturition center and the pontine continence center, correlated significantly with the bladder symptom severity in PD patients [52].
4.2. Substantia Nigra
Not only raphe hypoechogenicity but also SN hyperechogenicity has been related to increased liability of depression, in both PD and non-PD populations [14]. Non-PD depressed patients present a 3-fold increased frequency of presenting SN hyperechogenicity [14]. This finding could be interpreted as a risk marker for PD development, supported by epidemiological studies that evidenced an increased risk of PD development in depressive patients [53,54,55]. Furthermore, the co-occurrence of SN hyperechogenicity and BR hypoechogenicity in PD patients was associated with history of depression prior to PD onset [14].
Another interesting finding of Li et al. [33] involving SN hyperechogenicity was its relationship with the presence of VH, evaluated with the PD-NMSQ. The exact pathogenesis of VH in PD patients is not clearly understood. Based on brain imaging studies, an abnormality and dysfunction in visual cortex and cholinergic structures such as the SN and pedunculopontine nucleus have been proposed [56], in line with TCS findings. Caudate nucleus hyperechogenicity was also found to be related to drug-induced psychosis. The relation between SN hyperechogenicity and other NMS such as constipation, fatigue, and the presence of restless legs syndrome (RLS) has also been evaluated, without finding any difference between PD patients suffering or not from the evaluated symptom. Interestingly, when comparing RLS in PD and iRLS, a significant reduction of SN was found in iRLS. This suggests that, despite both having a good response to levodopa, a different pathophysiological mechanism may be involved.
4.3. Lateral and Third Ventricle (Width)
Previous reports found that elderly non-PD individuals with enlarged SN performed worse in neuropsychological tests than individuals with normal SN echogenicity; however, that was not confirmed in the analyzed publications [57,58].
The main finding correlated with cognitive impairment was enlarged lateral and third ventricles, not present in PD patients without dementia and healthy controls [13,23,24,25]. Those changes are not specific of PD and have been reported in other neurodegenerative dementias. Previous studies have described a pattern of brain atrophy which is similar in Alzheimer’s disease (AD) and in PD. Nevertheless, the cognitive impairment profile is different in both diseases; while AD predominantly affects memory, PD is characterized by the involvement of executive functions. At a pathological level, dementia in PD is thought to be secondary to Lewy body deposits in the neocortical and limbic system. However, pathological changes normally associated with Alzheimer’s disease, such as abnormal deposition of β-amyloid and neurofibrillary tangles, have been additionally proposed to contribute to dementia in some PD patients [59,60].
4.4. Vagus Nerve Atrophy
Finally, the most recently explored neurological structure is the vagus nerve diameter and CSA, assessed at the cervical level with high resolution ultrasound. The interest of this structure is based on the hypothesis that the vagus nerve may represent one major route of disease progression in PD, with an active retrograde transport of α-synuclein originating in the enteric nervous system, ascending the vagus nerve, and eventually reaching the dorsal motor nucleus of the vagus in the lower brainstem [61,62,63].
Four studies evaluated the vagus nerve in PD and non-PD patients, with inconsistent results [27,28,29,36] regarding higher susceptibility of this long nerve to α-synucleinopathies. Only one proved a relation between vagus nerve atrophy and the presence of NMS and an increase in hearth rate variability [29]. A few reasons could explain the varying results, including differences in methodology and clinical heterogeneity of the PD group, although age and UPDRS-III scores, addressing motor examination, were similar.
In this review, we found some limitations, such as the possible variability of the ultrasound evaluation protocols between the study groups. Furthermore, TCS is dependent on the examiner’s skill and examinations are limited by variables such as the acoustic bone window and angulation of the scanning plane. Moreover, due to the characteristic physical features of PD patients, blindness to diagnosis might be difficult to achieve. Regarding the assessment of NMS, mainly based on scales and anamnesis due to biomarkers scarcity, it is possible that interindividual self-perception variability may have been a limitation.
5. Conclusions
The results of this systematic review support the use of transcranial ultrasound as a valuable complementary tool in the evaluation and diagnosis of the main NMS in PD. Future studies assessing US characteristics in non-PD patients with NMS and evaluating the risk of developing PD as well as the response to medical treatment are needed.
Appendix A. Trascranial Ultrasound Images Identifying the Main Referred Structures
Figure A1.
7 MHz transducer. The silhouette of midbrain is marked with a colored line. Substantia nigra (*) and brainstem raphe (arrow) can be identified.
Figure A2.
Transcranial ultrasound of a healthy subject performed with a 2.7 MHz transducer, transthalamic axial section. Hypoechoic ovoid silhouettes correspond to normal thalamic nuclei (T) and caudate nucleus (C). The arrow indicates the normal 3rd ventricle, as a hypoechoic tubular structure with hyperechoic margins.
Author Contributions
C.d.T.P., L.A.P. and P.M.-S. conceived and designed the methodology of the systematic review. C.d.T.P. and L.A.P. extracted and collected the relevant information and drafted the manuscript. P.M.-S. supervised the article selection and reviewed and edited the manuscript. A.A.P., J.O.R., M.V.M.O., J.F.P. and M.P.O. reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Pfeiffer R.F. Non-motor symptoms in Parkinson’s disease. [(accessed on 22 May 2021)];Park. Rela Disord. 2016 22:S119–S122. doi: 10.1016/j.parkreldis.2015.09.004. Available online: https://pubmed.ncbi.nlm.nih.gov/26372623/ [DOI] [PubMed] [Google Scholar]
- 2.Weerkamp N.J., Tissingh G., Poels P.J.E., Zuidema S.U., Munneke M., Koopmans R.T.C.M., Bloem B.R. Nonmotor symptoms in nursing home residents with Parkinson’s disease: Prevalence and effect on quality of life. [(accessed on 22 May 2021)];J. Am. Geriat. Soc. 2013 61:1714–1721. doi: 10.1111/jgs.12458. Available online: https://pubmed.ncbi.nlm.nih.gov/24117286/ [DOI] [PubMed] [Google Scholar]
- 3.Reijnders J.S.A.M., Ehrt U., Weber W.E.J., Aarsland D., Leentjens A.F.G. A systematic review of prevalence studies of depression in Parkinson’s disease. [(accessed on 22 May 2021)];Mov. Disord. 2008 23:183–189. doi: 10.1002/mds.21803. Available online: https://pubmed.ncbi.nlm.nih.gov/17987654/ [DOI] [PubMed] [Google Scholar]
- 4.Den Brok M.G.H.E., van Dalen J.W., van Gool W.A., Moll van Charante E.P., de Bie R.M.A., Richard E. Apathy in Parkinson’s disease: A systematic review and meta-analysis. [(accessed on 22 May 2021)];Mov. Disord. 2015 30:759–769. doi: 10.1002/mds.26208. Available online: https://pubmed.ncbi.nlm.nih.gov/25787145/ [DOI] [PubMed] [Google Scholar]
- 5.Alonso-Cánovas A., López-Sendón J.L., Buisán J., DeFelipe-Mimbrera A., Guillán M., García-Barragán N., Corral I., Matute-Lozano M.C., Masjuan J., Martínez-Castrillo J.C., et al. Sonography for diagnosis of parkinson disease-From theory to practice: A study on 300 participants. [(accessed on 22 May 2021)];J. Ultrasound Med. 2014 33:2069–2074. doi: 10.7863/ultra.33.12.2069. Available online: https://pubmed.ncbi.nlm.nih.gov/25425362/ [DOI] [PubMed] [Google Scholar]
- 6.Pilotto A., Yilmaz R., Berg D. Developments in the Role of Transcranial Sonography for the Differential Diagnosis of Parkinsonism. [(accessed on 22 May 2021)];Curr. Neurol. Neurosci. Rep. 2015 15:1–10. doi: 10.1007/s11910-015-0566-9. Available online: https://link.springecom/article/10.1007/s11910-015-0566-9. [DOI] [PubMed] [Google Scholar]
- 7.Walter U., Wittstock M., Benecke R., Dressler D. Substantia nigra echogenicity is normal in non-extrapyramidal cerebral disorders but increased in Parkinson’s disease. [(accessed on 22 May 2021)];J. Neural Transm. 2002 109:191–196. doi: 10.1007/s007020200015. Available online: https://pubmed.ncbi.nlm.nih.gov/12075859/ [DOI] [PubMed] [Google Scholar]
- 8.Walter U., Školoudík D., Berg D. Transcranial sonography findings related to non-motor features of Parkinson’s diseas. [(accessed on 22 May 2021)];J. Neurol. Sci. 2010 289:123–127. doi: 10.1016/j.jns.2009.08.027. Available online: https://pubmed.ncbi.nlm.nih.gov/19735925/ [DOI] [PubMed] [Google Scholar]
- 9.Shamseer L., Moher D., Clarke M., Ghersi D., Liberati A., Petticrew M., Shekelle P., Stewart L.A., PRISMA-P Group Preferred reporting items for systematic review and meta-analysis protocols (prisma-p) 2015: Elaboration and explanation. BMJ. 2015;349:1–25. doi: 10.1136/bmj.g7647. [DOI] [PubMed] [Google Scholar]
- 10.Whiting P.F., Rutjes A.W.S., Westwood M.E., Mallett S., Deeks J.J., Reitsma J.B., Shekelle P., Stewart L.A., PRISMA-P Group Quadas-2: A revised tool for the quality assessment of diagnostic accuracy studies. [(accessed on 4 May 2021)];Ann. Intern. Med. Am. Coll. Physicians. 2011 155:529–536. doi: 10.7326/0003-4819-155-8-201110180-00009. Available online: https://pubmed.ncbi.nlm.nih.gov/22007046/ [DOI] [PubMed] [Google Scholar]
- 11.Becker T., Becker G., Seufert J., Hofmann E., Lange K.W., Naumann M., Lindner A., Reichmann H., Riederer P., Beckmann H., et al. Parkinson’s disease and depression: Evidence for an alteration of the basal limbic system detected by transcranial sonography. [(accessed on 4 May 2021)];J. Neurol. Neurosurg. Psychiatry. 1997 63:590–596. doi: 10.1136/jnnp.63.5.590. Available online: https://jnnp.bmj.com/content/63/5/590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Berg D., Supprian T., Hofmann E., Zeiler B., Jäger A., Lange K.W., Reiners K., Becker T., Becker G. Depression in Parkinson’s disease: Brainstem midline alteration on transcranial sonography and magnetic resonance imaging. [(accessed on 4 May 2021)];J. Neurol. 1999 246:1186–1193. doi: 10.1007/s004150050541. Available online: https://pubmed.ncbi.nlm.nih.gov/10653314/ [DOI] [PubMed] [Google Scholar]
- 13.Walter U., Dressler D., Wolters A., Wittstock M., Benecke R. Transcranial brain sonography findings in clinical subgroups of idiopathic Parkinson’s disease. Mov. Disord. 2007;22:48–54. doi: 10.1002/mds.21197. [DOI] [PubMed] [Google Scholar]
- 14.Walter U., Hoeppner J., Prudente-Morrissey L., Horowski S., Herpertz S.C., Benecke R. Parkinson’s disease-like midbrain sonography abnormalities are frequent in depressive disorders. [(accessed on 22 May 2021)];Brain. 2007 130:1799–1807. doi: 10.1093/brain/awm017. Available online: https://pubmed.ncbi.nlm.nih.gov/17329323/ [DOI] [PubMed] [Google Scholar]
- 15.Cho J.W., Baik J.S., Lee M.S. Mesencephalic midline change on transcranial sonography in early Parkinson’s disease patients with depression. [(accessed on 22 May 2021)];J. Neurol. Sci. 2011 310:50–52. doi: 10.1016/j.jns.2011.07.055. Available online: https://pubmed.ncbi.nlm.nih.gov/21862038/ [DOI] [PubMed] [Google Scholar]
- 16.Stanković I., Stefanova E., Žiropadja L., Mijajlović M., Pavlović A., Kostić V.S. Transcranial midbrain sonography and depressive symptoms in patients with Parkinson’s diseas. [(accessed on 22 May 2021)];J. Neurol. 2015 262:689–695. doi: 10.1007/s00415-014-7624-0. Available online: https://pubmed.ncbi.nlm.nih.gov/25557281/ [DOI] [PubMed] [Google Scholar]
- 17.Bouwmans A.E.P., Weber W.E.J., Leentjens A.F.G., Mess W.H. Transcranial sonography findings related to depression in parkinsonian disorders: Cross-sectional study in 126 patients. [(accessed on 22 May 2021)];PeerJ. 2016 2016:e2037. doi: 10.7717/peerj.2037. Available online: https://peerj.com/articles/2037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zhang Y.C., Hu H., Luo W.F., Sheng Y.J., Chen X.F., Mao C.J., Xiong K.P., Yu L.F., Zhang Y., Liu C.F. Alteration of brainstem raphe measured by transcranial sonography in depression patients with or without Parkinson’s disease. [(accessed on 22 May 2021)];Neurol. Sci. 2016 37:45–50. doi: 10.1007/s10072-015-2350-7. Available online: https://europepmc.org/article/med/26253340. [DOI] [PubMed] [Google Scholar]
- 19.Toomsoo T., Randver R., Liepelt-Scarfone I., Kadastik-Eerme L., Asser T., Rubanovits I., Berg D., Taba P. Prevalence of depressive symptoms and their association with brainstem raphe echogenicity in patients with Parkinson’s disease and non-PD controls. [(accessed on 22 May 2021)];Psychiatry Res. Neuroimaging. 2017 268:45–49. doi: 10.1016/j.pscychresns.2017.08.005. Available online: https://europepmc.org/article/med/28865346. [DOI] [PubMed] [Google Scholar]
- 20.Liu X.J., Zhang L., Zhang Y.F., Xu W., Hu Y., Liu Y., Bai J. Echogenic alteration in the raphe nuclei measured by transcranial sonography in patients with Parkinson disease and depression. Medicine. 2018;7:e13524. doi: 10.1097/MD.0000000000013524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Richter D., Woitalla D., Muhlack S., Gold R., Tönges L., Krogias C. Brainstem raphe alterations in TCS: A biomarker for depression and apathy in parkinson’s disease patients. [(accessed on 22 May 2021)];Front. Neurol. 2018 9:645. doi: 10.3389/fneur.2018.00645. Available online: https://www.frontiersin.org/articles/10.3389/fneur.2018.00645/full. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bei H.Z., Chen J.P., Mao C.J., Zhang Y.C., Chen J., Du Q.Q., Xue F., He P.C., Jin H., Wang F.Y., et al. Echogenicity Changes in Brainstem Raphe Detected by Transcranial Parenchymal Sonography and Clinical Characteristics in Parkinson’s Disease. [(accessed on 22 May 2021)];Front. Neurol. 2020 11:821. doi: 10.3389/fneur.2020.00821. Available online: www.frontiersiorg. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Walter U., Dressler D., Wolters A., Wittstock M., Greim B., Benecke R. Sonographic discrimination of dementia with Lewy bodies and Parkinson’s disease with dementia. [(accessed on 22 May 2021)];J. Neurol. 2006 253:448–454. doi: 10.1007/s00415-005-0023-9. Available online: https://pubmed.ncbi.nlm.nih.gov/16267638/ [DOI] [PubMed] [Google Scholar]
- 24.Bouwmans A.E., Leentjens A.F., Mess W.H., Weber W.E. Abnormal echogenicity of the substantia nigra, raphe nuclei, and third-ventricle width as markers of cognitive impairment in parkinsonian disorders: A cross-sectional study. Parkinsons Dis. 2016;2016:4058580. doi: 10.1155/2016/4058580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Dong Z.F., Wang C.S., Zhang Y.C., Zhang Y., Sheng Y.J., Hu H., Luo W.F., Liu C.F. Transcranial sonographic alterations of substantia Nigra and third ventricle in Parkinson’s disease with or without dementia. [(accessed on 22 May 2021)];Chin. Med. J. 2017 130:2291–2295. doi: 10.4103/0366-6999.215329. Available online: https://pubmed.ncbi.nlm.nih.gov/28937033/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Walter U., Dressler D., Wolters A., Wittstock M., Benecke R. Overactive bladder in Parkinson’s disease: Alteration of brainstem raphe detected by transcranial sonography. [(accessed on 22 May 2021)];Eur. J. Neurol. 2006 13:1291–1297. doi: 10.1111/j.1468-1331.2006.01463.x. Available online: https://pubmed.ncbi.nlm.nih.gov/17116210/ [DOI] [PubMed] [Google Scholar]
- 27.Fedtke N., Witte O.W., Prell T. Ultrasonography of the vagus nerve in Parkinson’s disease. Front. Neurol. 2018;9:525. doi: 10.3389/fneur.2018.00525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Pelz J.O., Belau E., Fricke C., Classen J., Weise D. Axonal degeneration of the vagus nerve in Parkinson’s disease-a high-resolution ultrasound study. [(accessed on 22 May 2021)];Front. Neurol. 2018 9:951. doi: 10.3389/fneur.2018.00951. Available online: https://pubmed.ncbi.nlm.nih.gov/30483212/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Walter U., Tsiberidou P., Kersten M., Storch A., Löhle M. Atrophy of the Vagus Nerve in Parkinson’s Disease Revealed by High-Resolution Ultrasonography. [(accessed on 22 May 2021)];Front. Neurol. 2018 9:805. doi: 10.3389/fneur.2018.00805. Available online: https://pubmed.ncbi.nlm.nih.gov/30319534/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kwon D.Y., Seo W.K., Yoon H.K., Park M.H., Koh S.B., Park K.W. Transcranial brain sonography in Parkinson’s disease with restless legs syndrome. [(accessed on 22 May 2021)];Mov. Disord. 2010 25:1373–1378. doi: 10.1002/mds.23066. Available online: https://pubmed.ncbi.nlm.nih.gov/20544813/ [DOI] [PubMed] [Google Scholar]
- 31.Ryu J.H., Lee M.S., Baik J.S. Sonographic abnormalities in idiopathic restless legs syndrome (RLS) and RLS in Parkinson’s disease. [(accessed on 22 May 2021)];Park. Relat. Disord. 2011 17:201–203. doi: 10.1016/j.parkreldis.2010.11.014. Available online: https://pubmed.ncbi.nlm.nih.gov/21183393/ [DOI] [PubMed] [Google Scholar]
- 32.Zhou H.Y., Sun Q., Tan Y.Y., Hu Y.Y., Zhan W.W., Li D.H., Wang Y., Xiao Q., Liu J., Chen S.D. Substantia nigra echogenicity correlated with clinical features of Parkinson’s disease. [(accessed on 22 May 2021)];Park. Relat. Disord. 2016 24:28–33. doi: 10.1016/j.parkreldis.2016.01.021. Available online: https://pubmed.ncbi.nlm.nih.gov/26842545/ [DOI] [PubMed] [Google Scholar]
- 33.Li T., Shi J., Qin B., Fan D., Liu N., Ni J., Zhang T., Zhou H., Xu X., Wei M., et al. Increased substantia nigra echogenicity correlated with visual hallucinations in Parkinson’s disease: A Chinese population-based study. [(accessed on 22 May 2021)];Neurol. Sci. 2020 41:661–667. doi: 10.1007/s10072-019-04110-z. Available online: https://link.springer.com/content/pdf/10.1007/s10072-019-04110-z.pdf. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Chaudhuri K.R., Martinez-Martin P., Schapira A.H.V., Stocchi F., Sethi K., Odin P., Brown R.G., Koller W., Barone P., MacPhee G., et al. International multicenter pilot study of the first comprehensive self-completed nonmotor symptoms questionnaire for Parkinson’s disease: The NMSQuest study. Mov. Disord. 2006;21:916–923. doi: 10.1002/mds.20844. [DOI] [PubMed] [Google Scholar]
- 35.Visser M., Marinus J., Stiggelbout A.M., van Hilten J.J. Assessment of autonomic dysfunction in Parkinson’s disease: The SCOPA-AUT. [(accessed on 23 May 2021)];Mov. Disord. 2004 19:1306–1312. doi: 10.1002/mds.20153. Available online: https://pubmed.ncbi.nlm.nih.gov/15390007/ [DOI] [PubMed] [Google Scholar]
- 36.Laucius O., Balnytė R., Petrikonis K., Matijošaitis V., Jucevičiūtė N., Vanagas T., Danielius V. Ultrasonography of the Vagus Nerve in the Diagnosis of Parkinson’s Disease. [(accessed on 22 May 2021)];Park. Dis. 2020 2020:2627471. doi: 10.1155/2020/2627471. Available online: https://www.frontiersin.org/articles/10.3389/fneur.2018.00525/full. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Goetz C.C. The Unified Parkinson’s Disease Rating Scale (UPDRS): Status and recommendations [Internet]. Vol. 18, Movement Disorders. [(accessed on 23 May 2021)];Mov. Disord. 2003 18:738–750. doi: 10.1002/mds.10473. Available online: https://pubmed.ncbi.nlm.nih.gov/12815652/ [DOI] [PubMed] [Google Scholar]
- 38.Chaudhuri K.R., Pal S., Dimarco A., Whately-Smith C., Bridgman K., Mathew R., Pezzela F.R., Forbes A., Högl B., Trenkwalder C. The Parkinson’s disease sleep scale: A new instrument for assessing sleep and nocturnal disability in Parkinson’s disease. [(accessed on 27 May 2021)];J. Neurol. Neurosurg. Psychiatry. 2002 73:629–635. doi: 10.1136/jnnp.73.6.629. Available online: www.jnnp.com. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Varma M.G., Wang J.Y., Berian J.R., Patterson T.R., McCrea G.L., Hart S.L. The constipation severity instrument: A validated measure. [(accessed on 27 May 2021)];Dis. Colon Rectum. 2008 51:162–172. doi: 10.1007/s10350-007-9140-0. Available online: https://link.springecom/article/10.1007/s10350-007-9140-0. [DOI] [PubMed] [Google Scholar]
- 40.Brown R.G., Dittner A., Findley L., Wessely S.C. The Parkinson fatigue scale. [(accessed on 27 May 2021)];Park. Relat. Disord. 2005 11:49–55. doi: 10.1016/j.parkreldis.2004.07.007. Available online: https://pubmed.ncbi.nlm.nih.gov/15619463/ [DOI] [PubMed] [Google Scholar]
- 41.Becker G., Struck M., Bogdahn U., Becker T. Echogenicity of the brainstem raphe in patients with major depression. [(accessed on 22 May 2021)];Psychiatry Res. Neuroimaging. 1994 55:75–84. doi: 10.1016/0925-4927(94)90002-7. Available online: https://pubmed.ncbi.nlm.nih.gov/10711796/ [DOI] [PubMed] [Google Scholar]
- 42.Walter U., Prudente-Morrissey L., Herpertz S.C., Benecke R., Hoeppner J. Relationship of brainstem raphe echogenicity and clinical findings in depressive states. [(accessed on 22 May 2021)];Psychiatry Res. Neuroimaging. 2007 155:67–73. doi: 10.1016/j.pscychresns.2006.12.001. Available online: https://pubmed.ncbi.nlm.nih.gov/17391931/ [DOI] [PubMed] [Google Scholar]
- 43.Walter U., Krolikowski K., Tarnacka B., Benecke R., Czlonkowska A., Dressler D. Sonographic detection of basal ganglia lesions in asymptomatic and symptomatic Wilson disease. [(accessed on 22 May 2021)];Neurology. 2005 64:1726–1732. doi: 10.1212/01.WNL.0000161847.46465.B9. Available online: https://pubmed.ncbi.nlm.nih.gov/15911799/ [DOI] [PubMed] [Google Scholar]
- 44.Krogias C., Strassburger K., Eyding J., Gold R., Norra C., Juckel G., Saft C., Ninphius D. Depression in patients with Huntington disease correlates with alterations of the brain stem raphe depicted by transcranial sonography. [(accessed on 22 May 2021)];J. Psychiatry Neurosci. 2011 36:187–194. doi: 10.1503/jpn.100067. Available online: https://pubmed.ncbi.nlm.nih.gov/21138658/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Becker G., Berg D., Lesch K.P., Becker T. Basal limbic system alteration in major depression: A hypothesis supported by transcranial sonography and MRI findings. International Journal of Neuropsychopharmacology. [(accessed on 22 May 2021)];Int. J. Neuropsychopharmacol. 2001 4:21–31. doi: 10.1017/S1461145701002164. Available online: https://pubmed.ncbi.nlm.nih.gov/11343626/ [DOI] [PubMed] [Google Scholar]
- 46.Berg D., Supprian T., Thomae J., Warmuth-Metz M., Horowski A., Zeiler B., Magnus T., Rieckmann P., Becker G. Lesion pattern in patients with multiple sclerosis and depression. [(accessed on 22 May 2021)];Mult. Scler. J. 2000 6:156–162. doi: 10.1177/135245850000600304. Available online: https://pubmed.ncbi.nlm.nih.gov/10871826/ [DOI] [PubMed] [Google Scholar]
- 47.Brooks D.J., Piccini P. Imaging in Parkinson’s Disease: The Role of Monoamines in Behavior. [(accessed on 22 May 2021)];Biol. Psychiatry. 2006 59:908–918. doi: 10.1016/j.biopsych.2005.12.017. Available online: https://pubmed.ncbi.nlm.nih.gov/16581032/ [DOI] [PubMed] [Google Scholar]
- 48.Mayeux R., Stern Y., Sano M., Williams J.B.W., Cote L.J. The relationship of serotonin to depression in Parkinson’s disease. [(accessed on 22 May 2021)];Mov. Disord. 1988 3:237–244. doi: 10.1002/mds.870030308. Available online: https://pubmed.ncbi.nlm.nih.gov/2461509/ [DOI] [PubMed] [Google Scholar]
- 49.Zhuang X., Xu H., Fang Z., Xu C., Xue C., Hong X. Platelet serotonin and serotonin transporter as peripheral surrogates in depression and anxiety patients. [(accessed on 22 May 2021)];Eur. J. Pharmacol. 2018 834:213–220. doi: 10.1016/j.ejphar.2018.07.033. Available online: https://europepmc.org/article/med/30031795. [DOI] [PubMed] [Google Scholar]
- 50.Andersson K.E., Pehrson R. CNS Involvement in Overactive Bladder: Pathophysiology and Opportunities for Pharmacological Intervention Drugs. [(accessed on 22 May 2021)];Drugs. 2003 63:2595–2611. doi: 10.2165/00003495-200363230-00003. Available online: https://pubmed.ncbi.nlm.nih.gov/14636079/ [DOI] [PubMed] [Google Scholar]
- 51.Cheng S., Lin D., Hu T., Cao L., Liao H., Mou X., Zhang Q., Liu J., Wu T. Association of urinary incontinence and depression or anxiety: A meta-analysis. [(accessed on 22 May 2021)];J. Int. Med. Res. 2020 48:300060520931348. doi: 10.1177/0300060520931348. Available online: https://pubmed.ncbi.nlm.nih.gov/32552169/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Roy H.A., Griffiths D.J., Aziz T.Z., Green A.L., Menke R.A.L. Investigation of urinary storage symptoms in Parkinson’s disease utilizing structural MRI techniques. [(accessed on 22 May 2021)];Neurourol. Urodyn. 2019 38:1168–1175. doi: 10.1002/nau.23976. Available online: https://pubmed.ncbi.nlm.nih.gov/30869824/ [DOI] [PubMed] [Google Scholar]
- 53.Nilsson F.M., Kessing L.V., Bolwig T.G. Increased risk of developing Parkinson’s disease for patients with major affective disorder: A register study. [(accessed on 22 May 2021)];Acta Psychiatr. Scand. 2001 104:380–386. doi: 10.1111/j.1600-0447.2001.00372.x. Available online: https://pubmed.ncbi.nlm.nih.gov/11722320/ [DOI] [PubMed] [Google Scholar]
- 54.Schuurman A.G., Van den Akker M., Ensinck K.T.J.L., Metsemakers J.F.M., Knottnerus J.A., Leentjens A.F.G., Buntinx F. Increased risk of Parkinson’s disease after depression: A retrospective cohort study. [(accessed on 22 May 2021)];Neurology. 2002 58:1501–1504. doi: 10.1212/WNL.58.10.1501. Available online: https://pubmed.ncbi.nlm.nih.gov/12034786/ [DOI] [PubMed] [Google Scholar]
- 55.Leentjens A.F.G., Van den Akker M., Metsemakers J.F.M., Lousberg R., Verhey F.R.J. Higher incidence of depression preceding the onset of parkinson’s disease: A register study. [(accessed on 22 May 2021)];Mov. Disord. 2003 18:414–418. doi: 10.1002/mds.10387. Available online: https://pubmed.ncbi.nlm.nih.gov/12671948/ [DOI] [PubMed] [Google Scholar]
- 56.Lenka A., Jhunjhunwala K.R., Saini J., Pal P.K. Structural and functional neuroimaging in patients with Parkinson’s disease and visual hallucinations: A critical review. [(accessed on 22 May 2021)];Parkinsonism Relat. Disord. 2015 21:683–691. doi: 10.1016/j.parkreldis.2015.04.005. Available online: https://pubmed.ncbi.nlm.nih.gov/25920541/ [DOI] [PubMed] [Google Scholar]
- 57.Liepelt I., Wendt A., Schweitzer K.J., Wolf B., Godau J., Gaenslen A., Bruessel T., Berg D. Substantia nigra hyperechogenicity assessed by transcranial sonography is related to neuropsychological impairment in the elderly population. [(accessed on 22 May 2021)];J. Neural. Transm. 2008 115:993–999. doi: 10.1007/s00702-008-0043-6. Available online: https://pubmed.ncbi.nlm.nih.gov/18368284/ [DOI] [PubMed] [Google Scholar]
- 58.Yilmaz R., Behnke S., Liepelt-Scarfone I., Roeben B., Pausch C., Runkel A., Heinzel S., Niebler R., Suenkel U., Eschweiler G.W., et al. Substantia nigra hyperechogenicity is related to decline in verbal memory in healthy elderly adults. [(accessed on 22 May 2021)];Eur. J. Neurol. 2016 23:973–978. doi: 10.1111/ene.12974. Available online: https://onlinelibrary.wiley.com/doi/full/10.1111/en12974. [DOI] [PubMed] [Google Scholar]
- 59.Lucero C., Campbell M.C., Flores H., Maiti B., Perlmutter J.S., Foster E.R. Cognitive reserve and β-amyloid pathology in Parkinson disease. [(accessed on 22 May 2021)];Park. Relat. Disord. 2015 21:899–904. doi: 10.1016/j.parkreldis.2015.05.020. Available online: https://pubmed.ncbi.nlm.nih.gov/26037458/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Armstrong R.A. Laminar degeneration of frontal and temporal cortex in Parkinson disease dementia. [(accessed on 22 May 2021)];Neurol. Sci. 2017 38:667–671. doi: 10.1007/s10072-017-2828-6. Available online: https://pubmed.ncbi.nlm.nih.gov/28181068/ [DOI] [PubMed] [Google Scholar]
- 61.Braak H., Rüb U., Gai W.P., Del Tredici K. Idiopathic Parkinson’s disease: Possible routes by which vulnerable neuronal types may be subject to neuroinvasion by an unknown pathogen. [(accessed on 22 May 2021)];J. Neural Transm. 2003 110:517–536. doi: 10.1007/s00702-002-0808-2. Available online: https://pubmed.ncbi.nlm.nih.gov/12721813/ [DOI] [PubMed] [Google Scholar]
- 62.Holmqvist S., Chutna O., Bousset L., Aldrin-Kirk P., Li W., Björklund T., Wang Z.Y., Roybon L., Melki R., Li J.Y. Direct evidence of Parkinson pathology spread from the gastrointestinal tract to the brain in rats. [(accessed on 22 May 2021)];Acta Neuropathol. 2014 128:805–820. doi: 10.1007/s00401-014-1343-6. Available online: https://pubmed.ncbi.nlm.nih.gov/25296989/ [DOI] [PubMed] [Google Scholar]
- 63.Svensson E., Horváth-Puhó E., Thomsen R.W., Djurhuus J.C., Pedersen L., Borghammer P., Sørensen H.T. Vagotomy and subsequent risk of Parkinson’s disease. [(accessed on 22 May 2021)];Ann. Neurol. 2015 78:522–529. doi: 10.1002/ana.24448. Available online: https://pubmed.ncbi.nlm.nih.gov/26031848/ [DOI] [PubMed] [Google Scholar]