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Figure. Transcranial sonographic images of 2 study participants. A, Participant with normal echogenicity of the substantia nigra (SN) as shown in a zoomed image of the butterfly-shaped hypoechogenic brainstem (marked with the dashed line) in the mesencephalic scanning plane. Only a small area of hyperechogenicity is visible at the anatomic area of the SN (marked with the dotted line) ipsilateral to the insonating ultrasonographic probe. B, Participant with enlarged hyperechogenicity of the SN. Here a large area of hyperechogenicity is visible at the anatomic area of the SN (marked with the dotted line) ipsilateral to the insonating ultrasonographic probe.

Figure. Transcranial sonographic images of 2 study participants. A, Participant with normal echogenicity of the substantia nigra (SN) as shown in a zoomed image of the butterfly-shaped hypoechogenic brainstem (marked with the dashed line) in the mesencephalic scanning plane. Only a small area of hyperechogenicity is visible at the anatomic area of the SN (marked with the dotted line) ipsilateral to the insonating ultrasonographic probe. B, Participant with enlarged hyperechogenicity of the SN. Here a large area of hyperechogenicity is visible at the anatomic area of the SN (marked with the dotted line) ipsilateral to the insonating ultrasonographic probe.

Table 1. Comparison of the Follow-up Cohort and the Cohort Lost to Follow-upa
Table 1. Comparison of the Follow-up Cohort and the Cohort Lost to Follow-upa
Table 2. Comparison of Participants With and Without Development of PD Within the Study Period
Table 2. Comparison of Participants With and Without Development of PD Within the Study Period
Table 3. Characteristics of the 11 Participants With Incident PD
Table 3. Characteristics of the 11 Participants With Incident PD
1.
Lees AJ, Hardy J, Revesz T. Parkinson's disease.  Lancet. 2009;373(9680):2055-206619524782PubMedGoogle ScholarCrossref
2.
Braak H, Ghebremedhin E, Rüb U, Bratzke H, Del Tredici K. Stages in the development of Parkinson's disease–related pathology.  Cell Tissue Res. 2004;318(1):121-13415338272PubMedGoogle ScholarCrossref
3.
Poewe W. The need for neuroprotective therapies in Parkinson's disease: a clinical perspective.  Neurology. 2006;66:(10, suppl 4)  S2-S916717249PubMedGoogle ScholarCrossref
4.
Stern MB, Siderowf A. Parkinson's at risk syndrome: can Parkinson's disease be predicted?  Mov Disord. 2010;25:(suppl 1)  S89-S9320187248PubMedGoogle ScholarCrossref
5.
Becker G, Seufert J, Bogdahn U, Reichmann H, Reiners K. Degeneration of substantia nigra in chronic Parkinson's disease visualized by transcranial color-coded real-time sonography.  Neurology. 1995;45(1):182-1847824114PubMedGoogle ScholarCrossref
6.
Berg D, Grote C, Rausch WD,  et al.  Iron accumulation in the substantia nigra in rats visualized by ultrasound.  Ultrasound Med Biol. 1999;25(6):901-90410461717PubMedGoogle ScholarCrossref
7.
Liepelt I, Behnke S, Schweitzer K,  et al.  Pre-motor signs of PD are related to SN hyperechogenicity assessed by TCS in an elderly population [published online November 6, 2009].  Neurobiol Aging19897277PubMedGoogle Scholar
8.
Berg D, Godau J, Walter U. Transcranial sonography in movement disorders.  Lancet Neurol. 2008;7(11):1044-105518940694PubMedGoogle ScholarCrossref
9.
Berg D, Seppi K, Liepelt I,  et al.  Enlarged hyperechogenic substantia nigra is related to motor performance and olfaction in the elderly.  Mov Disord. 2010;25(10):1464-146920629151PubMedGoogle ScholarCrossref
10.
Hughes AJ, Daniel SE, Kilford L, Lees AJ. Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases.  J Neurol Neurosurg Psychiatry. 1992;55(3):181-1841564476PubMedGoogle ScholarCrossref
11.
Walter U, Behnke S, Eyding J,  et al.  Transcranial brain parenchyma sonography in movement disorders: state of the art.  Ultrasound Med Biol. 2007;33(1):15-2517189043PubMedGoogle ScholarCrossref
12.
Marder K, Tang MX, Mejia H,  et al.  Risk of Parkinson's disease among first-degree relatives: a community-based study.  Neurology. 1996;47(1):155-1608710070PubMedGoogle ScholarCrossref
13.
Grandinetti A, Morens DM, Reed D, MacEachern D. Prospective study of cigarette smoking and the risk of developing idiopathic Parkinson's disease.  Am J Epidemiol. 1994;139(12):1129-11388209872PubMedGoogle Scholar
14.
Benito-León J, Louis ED, Bermejo-Pareja F.Neurological Disorders in Central Spain Study Group.  Risk of incident Parkinson's disease and parkinsonism in essential tremor: a population based study.  J Neurol Neurosurg Psychiatry. 2009;80(4):423-42519289477PubMedGoogle ScholarCrossref
15.
Ponsen MM, Stoffers D, Twisk JW, Wolters ECh, Berendse HW. Hyposmia and executive dysfunction as predictors of future Parkinson's disease: a prospective study.  Mov Disord. 2009;24(7):1060-106519353591PubMedGoogle ScholarCrossref
16.
Ross GW, Petrovitch H, Abbott RD,  et al.  Association of olfactory dysfunction with risk for future Parkinson's disease.  Ann Neurol. 2008;63(2):167-17318067173PubMedGoogle ScholarCrossref
17.
de Lau LM, Breteler MM. Epidemiology of Parkinson's disease.  Lancet Neurol. 2006;5(6):525-53516713924PubMedGoogle ScholarCrossref
18.
Walter U, Dressler D, Probst T,  et al.  Transcranial brain sonography findings in discriminating between parkinsonism and idiopathic Parkinson disease.  Arch Neurol. 2007;64(11):1635-164017998447PubMedGoogle ScholarCrossref
19.
Postert T, Eyding J, Berg D,  et al.  Transcranial sonography in spinocerebellar ataxia type 3.  J Neural Transm Suppl. 2004;(68):123-13315354398PubMedGoogle Scholar
20.
Gaenslen A, Unmuth B, Godau J,  et al.  The specificity and sensitivity of transcranial ultrasound in the differential diagnosis of Parkinson's disease: a prospective blinded study.  Lancet Neurol. 2008;7(5):417-42418394965PubMedGoogle ScholarCrossref
21.
Berg D, Becker G, Zeiler B,  et al.  Vulnerability of the nigrostriatal system as detected by transcranial ultrasound.  Neurology. 1999;53(5):1026-103110496262PubMedGoogle ScholarCrossref
22.
Berg D, Roggendorf W, Schröder U,  et al.  Echogenicity of the substantia nigra: association with increased iron content and marker for susceptibility to nigrostriatal injury.  Arch Neurol. 2002;59(6):999-100512056937PubMedGoogle ScholarCrossref
23.
de Rijk MC, Tzourio C, Breteler MM,  et al.  Prevalence of parkinsonism and Parkinson's disease in Europe: the EUROPARKINSON Collaborative Study, European Community Concerted Action on the Epidemiology of Parkinson's disease.  J Neurol Neurosurg Psychiatry. 1997;62(1):10-159010393PubMedGoogle ScholarCrossref
24.
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.  J Neurol. 2006;253(4):448-45416267638PubMedGoogle ScholarCrossref
25.
Walter U, Dressler D, Wolters A, Probst T, Grossmann A, Benecke R. Sonographic discrimination of corticobasal degeneration vs progressive supranuclear palsy.  Neurology. 2004;63(3):504-50915304582PubMedGoogle ScholarCrossref
26.
Truong DD, Wolters EC. Recognition and management of Parkinson's disease during the premotor (prodromal) phase.  Expert Rev Neurother. 2009;9(6):847-85719496688PubMedGoogle ScholarCrossref
27.
Gonera EG, van't Hof M, Berger HJ, van Weel C, Horstink MW. Symptoms and duration of the prodromal phase in Parkinson's disease.  Mov Disord. 1997;12(6):871-8769399209PubMedGoogle ScholarCrossref
28.
Stephenson R, Siderowf A, Stern MB. Premotor Parkinson's disease: clinical features and detection strategies.  Mov Disord. 2009;24:(suppl 2)  S665-S67019877244PubMedGoogle ScholarCrossref
29.
Louis ED, Luchsinger JA, Tang MX, Mayeux R. Parkinsonian signs in older people: prevalence and associations with smoking and coffee.  Neurology. 2003;61(1):24-2812847151PubMedGoogle ScholarCrossref
30.
Richards M, Stern Y, Mayeux R. Subtle extrapyramidal signs can predict the development of dementia in elderly individuals.  Neurology. 1993;43(11):2184-21888232926PubMedGoogle ScholarCrossref
Original Contributions
July 2011

Enlarged Substantia Nigra Hyperechogenicity and Risk for Parkinson Disease: A 37-Month 3-Center Study of 1847 Older Persons

Author Affiliations

Author Affiliations: Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (Drs Berg, Liepelt, Schweitzer, Gaenslen, Godau, Huber, Srulijes, Maetzler, and Gasser), and German Center of Neurodegenerative Diseases (Drs Berg, Liepelt, Gaenslen, Godau, Huber, Srulijes, Maetzler, and Gasser), Tübingen, Germany; Department of Neurology, University of Innsbruck, Innsbruck, Austria (Drs Seppi, Stockner, Mahlknecht, Kiechl, Sawires, Willeit, and Poewe); Department of Neurology, University of Homburg/Saar, Homburg, Germany (Drs Behnke, Wollenweber, Spiegel, and Fassbender); Department of Neurology, Bruneck Hospital, Bruneck, Italy (Dr Gasperi); and Department of Geriatric Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany (Drs Klenk and Maetzler). Mss Bentele and Schubert are medical students at Hertie Institute for Clinical Brain Research, and Mss Hiry, Probst, and Schneider are medical students at University of Homburg/Saar.

Arch Neurol. 2011;68(7):932-937. doi:10.1001/archneurol.2011.141
Abstract

Objective To evaluate whether enlarged substantia nigra hyperechogenicity (SN+) is associated with an increased risk for Parkinson disease (PD) in a healthy elderly population.

Design Longitudinal 3-center observational study with 37 months of prospective follow-up.

Setting Individuals 50 years or older without evidence of PD or any other neurodegenerative disease.

Participants Of 1847 participants who underwent a full medical history, neurological assessment, and transcranial sonography at baseline, 1535 could undergo reassessment.

Main Outcome Measure Incidence of new-onset PD in relation to baseline transcranial sonography status.

Results There were 11 cases of incident PD during the follow-up period. In participants with SN+ at baseline, the relative risk for incident PD was 17.37 (95% confidence interval, 3.71-81.34) times higher compared with normoechogenic participants.

Conclusions In this prospective study, we demonstrate for the first time a highly increased risk for PD in elderly individuals with SN+. Transcranial sonography of the midbrain may therefore be a promising primary screening procedure to define a risk population for imminent PD.

The neuropathologic features of Parkinson disease (PD) include cell loss and α-synuclein aggregation (Lewy bodies and Lewy neurites) in multiple brain areas, including the substantia nigra (SN) of the midbrain. In addition, microglial activation and iron accumulation are found.1 A large body of evidence suggests that PD-specific pathologic features antedate the onset of diagnostic clinical features, and the preclinical period of nigral cell loss has been estimated to last several years.2 Therefore, asymptomatic individuals harboring subclinical PD pathologic features are at imminent risk for developing the clinical illness, and their identification would open a window for neuroprotective intervention.3,4

Transcranial sonography (TCS) shows that 90% of patients with PD but only about 10% of elderly individuals without PD have enlarged midbrain hyperechogenicity in the area of the SN (SN+).5 The morphologic basis for this ultrasonographic signal abnormality is not entirely clear, but an association of this echogenic feature with increased tissue iron content has been demonstrated.6 An increased prevalence of SN+ has been observed in conditions known to be associated with an increased risk for developing PD,7 including a family history of PD, depression, idiopathic olfactory loss, and rapid eye movement sleep behavior disorder. In addition, SN+ was more prevalent in individuals with subtle signs of motor slowing and asymmetric arm swing, and asymptomatic SN+ individuals were found to have decreased fluorodopa F 18 uptake in the striatum.8

However, a relationship between SN+ in still-healthy persons and subsequent development of PD has not yet been established. Therefore, we studied the association between SN echogenic status at baseline and the 3-year incidence of PD in a prospective study of 1847 healthy individuals 50 years or older.

Methods
Study population

The PRIPS Study (Prospective Validation of Risk Factors for the Development of Parkinsonian Syndromes) is a prospective cohort study designed to define the value of midbrain ultrasonography to detect preclinical PD. Individuals 50 years or older without evidence of PD or any other neurodegenerative disease were recruited at 3 centers (Tübingen and Homburg, Germany, and Innsbruck, Austria). Detailed information about baseline characteristics (including inclusion and exclusion criteria and sample size estimation) has been published recently.9 In brief, participants at the German centers were recruited using advertisements in local newspapers and from local companies. The Innsbruck center recruited the participants of the Bruneck study, providing a population-based sample from the town of Bruneck in South Tyrol (Italy) that was originally recruited for a prospective study of risk factors for carotid atherosclerosis. All participants gave written informed consent. The study was approved by all local ethical committees.

The study was performed during an 8-year period from January 1, 2001, through March 30, 2009. At baseline, 1847 participants (812 from Tübingen, 500 from Homburg/Saar, and 535 from Innsbruck) were found to be free of PD, as defined by the United Kingdom Parkinson Disease Society Brain Bank (UK-PDSBB).10 Three hundred twelve study participants were lost to the follow-up (Table 1). Thus, the study population with evaluable data consisted of 1535 participants. The total mean (SD) follow-up interval was 37.0 (15.6) months.

Baseline assessments
Transcranial Sonography

Transcranial sonography was standardized for all centers according to the consensus criteria.11 In Tübingen and Homburg, a Sonoline Elegra ultrasound machine (Siemens, Erlangen, Germany) equipped with a 2.5-Mhz transducer was used; in Innsbruck, a 2.5-MHz transducer was adapted to a Logic 7 ultrasound machine (General Electric, Milwaukee, Wisconsin).

The mesencephalic scanning plane was visualized parallel to the orbitomeatal line. In this plane, the butterfly-shaped mesencephalic brainstem surrounded by the echogenic basal cisterns was depicted, and echogenicity of the ipsilateral SN was planimetrically measured. Therefore, the image was frozen and zoomed 2- to 3-fold to manually surround the hyperechogenic signals in the anatomical area of the SN, thereby calculating the size of the area automatically. In this study, SN+ was defined as any value above the median of the 90th percentile of the right and/or left SN side within each center, according to the threshold for SN+ set in former studies.8 All other cases were classified as normoechogenic (SN−, Figure).

Medical History and Clinical Assessment

Medical history and family history of PD were recorded in a semistructured interview according to the criteria of Marder and coworkers.12 Clinical examinations were performed by neurologists with expertise in movement disorders blinded to the results of the ultrasonographic examinations to exclude individuals with clinical PD at baseline.

Follow-up assessments

At follow-up, all participants underwent reassessment for the presence of clinical PD according to the UK-PDSBB criteria10 requiring the presence of bradykinesia and at least 1 symptom of rigidity, resting tremor, or postural instability as well as asymmetric presentation. All participants diagnosed as having PD at this visit were invited for a short-term follow-up assessment by independent movement disorders specialists at the outpatient clinic of the corresponding study center to confirm or reject the diagnosis.

Statistical analyses

The primary outcome of the study was the incidence of new-onset PD in relation to SN+ in TCS, as indicated by the relative risk (RR). Analysis of different study groups was performed using commercially available software (SPSS 17 for Windows; SPSS Inc, Chicago, Illinois) applying parametric statistics for the study cohorts and, owing to the small number of participants, nonparametric statistics for the group with incident PD. Differences were assumed to be significant at P < .05 (2 sided).

Results

The follow-up cohort did not differ significantly from the cohort lost to follow-up with regard to age, sex, and SN echogenic status but did differ with regard to family history (more prevalent in those who underwent a follow-up visit). An insufficient bone window was present in 8.8% of the entire follow-up cohort. We found SN+ at baseline in 18.3% of the participants without PD in the follow-up examination and in 80.0% of the participants who at follow-up were diagnosed as having PD (P > .001). Detailed data on the follow-up cohort are given in Table 2.

Detailed information about demographic and clinical parameters of the 11 incident subjects with PD is given in Table 3. For participants defined as being SN+ at baseline, the RR for developing PD by the end of 3 years was 17.37 (95% confidence interval, 3.71-81.34).

Comment

In this prospective multicenter longitudinal study with 1535 participants followed up during a mean observation period of 37 months, the RR of incident PD was more than 17 times higher in elderly participants with SN+ compared with those with SN−, thus demonstrating an association between SN+ and subsequent development of PD in healthy adults.

A 17-fold increased RR for developing PD among SN+ participants while being studied during this relatively short observation period makes this ultrasonographic marker a strong candidate for screening to narrow a target risk population. To our knowledge, this RR is higher than any RR of PD risk markers reported so far. In the 26-year follow-up study of approximately 8000 men enrolled in the Honolulu Heart Program, never-smoking participants had a 4-fold increased RR compared with current smokers.13 In a population-based cohort study with approximately 3800 elderly participants with a median follow-up of 3.3 years, the RR for developing PD was 4.3-fold higher than in participants with essential tremor.14 Hyposmia yielded RR values ranging from 215 to 5,16 depending on the cohorts selected and tests used for the assessment. Even lower RR values have been reported for dietary habits, male sex, (lack of) physical activities, and head trauma.17

One of the main goals of identifying PD risk markers is the detection of individuals who may benefit from neuroprotective interventions. Because TCS is noninvasive, cheap, and quick and easy to perform by properly trained examiners, it has the potential for use as a secondary screening instrument in population-based screening batteries. Its specific role within a multistep screening battery that includes assessments of several risk markers will have to be determined in further studies.

Although SN+ occurred in 18.7% of our total follow-up cohort with sufficient temporal bone window (17.1% of non-PD and 80.0% of PD participants; Table 2), only 3.1% of them developed PD. This low conversion rate is most likely owing to the short follow-up period, which also limits further determination of diagnostic variables, such as specificity and positive and negative predictive values. Especially, the specificity of SN+ for PD is discussed controversially in the literature. It is important to realize that SN+ can also be found in a certain percentage of patients with rare neurodegenerative diseases, such as atypical parkinsonian syndromes or spinocerebellar ataxia.18,19 This finding, however, does not seem to limit its specificity for the application in cohort studies, as indicated by a prospective study on patients with mild parkinsonism.20 Other reasons for the relatively low positive predictive value are certainly the mismatch between occurrence of SN+ in the population (about 10% of individuals to the age of 79 years)21,22 and the proportion of people who will develop PD during their lifetime (1%-2%),23 as well as the occurrence of SN+ in putatively presymptomatic stages of other disorders, such as dementia with Lewy bodies24 and corticobasal degeneration.25

Compared with the literature,23 the number of incident PD cases in this study was high. This could in part be owing to a high percentage of first-degree relatives of PD patients volunteering to participate in this study (10.3% of the follow-up cohort). In addition, in the past decade it has been increasingly accepted that nonmotor manifestations of PD, such as autonomic, sensory, sleep, and neuropsychiatric disturbances, precede the motor phase.26,27 We hypothesize that some individuals at risk for PD may sense some deterioration of their general health status years before clinicians are able to diagnose the disease and may therefore have a particular motivation to participate in studies such as this one.

As a limitation, we are not able to completely exclude differing recruitment strategies between centers and different ultrasonographic equipment as having an influence on the results. In addition, we cannot entirely verify that the cohort lost to follow-up was similar to the follow-up cohort because not all preclinical PD markers considered relevant to date (eg, hyposmia, depression, and rapid eye movement sleep behavior disorder28) had been assessed under standardized conditions. However, occurrence of SN+, age, and sex were not significantly different between these cohorts. More participants in the follow-up cohort than in the cohort lost to follow-up had a family history of PD. This may best be explained by the hypothesis that relatives of patients with PD may have a higher motivation to participate in more than 1 study visit.

Participants with subtle motor signs were not excluded because we argued that impaired motor performance is a common symptom in elderly individuals; about 25% to 40% of persons older than 60 years show at least mild symptoms of motor impairment.9,29,30 With the numbers presented herein and the still rather short follow-up, we can only suggest the association of slight motor deficits with future PD. This question needs to be addressed in future longitudinal studies.

In conclusion, the PRIPS Study demonstrates a clear association between SN+ in healthy people and subsequent development of PD. Therefore, TCS constitutes a promising screening instrument for a population at risk for PD that might be applied in a combined approach with other screening tools.

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Article Information

Correspondence: Daniela Berg, MD, Department of Neurodegeneration, Hertie Institute for Clinical Brain Research and German Center of Neurodegenerative Diseases, Hoppe-Seyler-Strasse 3, 72076 Tübingen, Germany (daniela.berg@uni-tuebingen.de).

Accepted for Publication: November 19, 2010.

Author Contributions: Drs Seppi and Behnke equally contributed to this study. Dr Berg had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Berg, Seppi, Schweitzer, Gaenslen, Spiegel, Kiechl, Willeit, Maetzler, Gasser, and Poewe. Acquisition of data: Berg, Seppi, Behnke, Schweitzer, Stockner, Wollenweber, Gaenslen, Mahlknecht, Godau, Huber, Srulijes, Kiechl, Bentele, Gasperi, Schubert, Hiry, Probst, Schneider, Sawires, and Willeit. Analysis and interpretation of data: Berg, Behnke, Liepelt, Gaenslen, Godau, Klenk, Maetzler, Fassbender, and Poewe. Drafting of the manuscript: Berg, Sawires, Maetzler, and Poewe. Critical revision of the manuscript for important intellectual content: Berg, Seppi, Behnke, Liepelt, Schweitzer, Stockner, Wollenweber, Gaenslen, Mahlknecht, Spiegel, Godau, Huber, Srulijes, Kiechl, Bentele, Gasperi, Schubert, Hiry, Probst, Schneider, Klenk, Willeit, Maetzler, Fassbender, Gasser, and Poewe. Statistical analysis: Behnke, Liepelt, and Maetzler. Obtained funding: Berg, Seppi, Behnke, Gaenslen, and Gasser. Administrative, technical, and material support: Berg, Seppi, Behnke, Schweitzer, Wollenweber, Gaenslen, Spiegel, Srulijes, Kiechl, Bentele, Gasperi, Schubert, Hiry, Probst, Schneider, Klenk, Sawires, Willeit, Maetzler, Fassbender, and Poewe. Study supervision: Berg, Behnke, and Poewe.

Financial Disclosure: None reported.

Funding/Support: This study was supported by the Michael J. Fox Foundation.

Disclaimer: The supporting institution had no influence on the design, conduct, or analysis of the study.

Additional Contributions: The Bosch GmbH and the Walter AG helped in recruitment and retention of participants. We thank all who volunteered to participate in this study.

References
1.
Lees AJ, Hardy J, Revesz T. Parkinson's disease.  Lancet. 2009;373(9680):2055-206619524782PubMedGoogle ScholarCrossref
2.
Braak H, Ghebremedhin E, Rüb U, Bratzke H, Del Tredici K. Stages in the development of Parkinson's disease–related pathology.  Cell Tissue Res. 2004;318(1):121-13415338272PubMedGoogle ScholarCrossref
3.
Poewe W. The need for neuroprotective therapies in Parkinson's disease: a clinical perspective.  Neurology. 2006;66:(10, suppl 4)  S2-S916717249PubMedGoogle ScholarCrossref
4.
Stern MB, Siderowf A. Parkinson's at risk syndrome: can Parkinson's disease be predicted?  Mov Disord. 2010;25:(suppl 1)  S89-S9320187248PubMedGoogle ScholarCrossref
5.
Becker G, Seufert J, Bogdahn U, Reichmann H, Reiners K. Degeneration of substantia nigra in chronic Parkinson's disease visualized by transcranial color-coded real-time sonography.  Neurology. 1995;45(1):182-1847824114PubMedGoogle ScholarCrossref
6.
Berg D, Grote C, Rausch WD,  et al.  Iron accumulation in the substantia nigra in rats visualized by ultrasound.  Ultrasound Med Biol. 1999;25(6):901-90410461717PubMedGoogle ScholarCrossref
7.
Liepelt I, Behnke S, Schweitzer K,  et al.  Pre-motor signs of PD are related to SN hyperechogenicity assessed by TCS in an elderly population [published online November 6, 2009].  Neurobiol Aging19897277PubMedGoogle Scholar
8.
Berg D, Godau J, Walter U. Transcranial sonography in movement disorders.  Lancet Neurol. 2008;7(11):1044-105518940694PubMedGoogle ScholarCrossref
9.
Berg D, Seppi K, Liepelt I,  et al.  Enlarged hyperechogenic substantia nigra is related to motor performance and olfaction in the elderly.  Mov Disord. 2010;25(10):1464-146920629151PubMedGoogle ScholarCrossref
10.
Hughes AJ, Daniel SE, Kilford L, Lees AJ. Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases.  J Neurol Neurosurg Psychiatry. 1992;55(3):181-1841564476PubMedGoogle ScholarCrossref
11.
Walter U, Behnke S, Eyding J,  et al.  Transcranial brain parenchyma sonography in movement disorders: state of the art.  Ultrasound Med Biol. 2007;33(1):15-2517189043PubMedGoogle ScholarCrossref
12.
Marder K, Tang MX, Mejia H,  et al.  Risk of Parkinson's disease among first-degree relatives: a community-based study.  Neurology. 1996;47(1):155-1608710070PubMedGoogle ScholarCrossref
13.
Grandinetti A, Morens DM, Reed D, MacEachern D. Prospective study of cigarette smoking and the risk of developing idiopathic Parkinson's disease.  Am J Epidemiol. 1994;139(12):1129-11388209872PubMedGoogle Scholar
14.
Benito-León J, Louis ED, Bermejo-Pareja F.Neurological Disorders in Central Spain Study Group.  Risk of incident Parkinson's disease and parkinsonism in essential tremor: a population based study.  J Neurol Neurosurg Psychiatry. 2009;80(4):423-42519289477PubMedGoogle ScholarCrossref
15.
Ponsen MM, Stoffers D, Twisk JW, Wolters ECh, Berendse HW. Hyposmia and executive dysfunction as predictors of future Parkinson's disease: a prospective study.  Mov Disord. 2009;24(7):1060-106519353591PubMedGoogle ScholarCrossref
16.
Ross GW, Petrovitch H, Abbott RD,  et al.  Association of olfactory dysfunction with risk for future Parkinson's disease.  Ann Neurol. 2008;63(2):167-17318067173PubMedGoogle ScholarCrossref
17.
de Lau LM, Breteler MM. Epidemiology of Parkinson's disease.  Lancet Neurol. 2006;5(6):525-53516713924PubMedGoogle ScholarCrossref
18.
Walter U, Dressler D, Probst T,  et al.  Transcranial brain sonography findings in discriminating between parkinsonism and idiopathic Parkinson disease.  Arch Neurol. 2007;64(11):1635-164017998447PubMedGoogle ScholarCrossref
19.
Postert T, Eyding J, Berg D,  et al.  Transcranial sonography in spinocerebellar ataxia type 3.  J Neural Transm Suppl. 2004;(68):123-13315354398PubMedGoogle Scholar
20.
Gaenslen A, Unmuth B, Godau J,  et al.  The specificity and sensitivity of transcranial ultrasound in the differential diagnosis of Parkinson's disease: a prospective blinded study.  Lancet Neurol. 2008;7(5):417-42418394965PubMedGoogle ScholarCrossref
21.
Berg D, Becker G, Zeiler B,  et al.  Vulnerability of the nigrostriatal system as detected by transcranial ultrasound.  Neurology. 1999;53(5):1026-103110496262PubMedGoogle ScholarCrossref
22.
Berg D, Roggendorf W, Schröder U,  et al.  Echogenicity of the substantia nigra: association with increased iron content and marker for susceptibility to nigrostriatal injury.  Arch Neurol. 2002;59(6):999-100512056937PubMedGoogle ScholarCrossref
23.
de Rijk MC, Tzourio C, Breteler MM,  et al.  Prevalence of parkinsonism and Parkinson's disease in Europe: the EUROPARKINSON Collaborative Study, European Community Concerted Action on the Epidemiology of Parkinson's disease.  J Neurol Neurosurg Psychiatry. 1997;62(1):10-159010393PubMedGoogle ScholarCrossref
24.
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