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Parkinson's disease

Non-motor symptoms in Parkinson’s Disease: implications for our understanding of pathogenesis, prodrome and subtypes

Non-motor symptoms (NMS) contribute to our understanding of the complex pathology of PD involving multiple sites in the central and peripheral nervous systems and several neurotransmitters. NMS – which encompass the neuropsychiatric, autonomic, olfactory, and sleep domains -- also contribute to the potential subtyping of patients according to phenotype and progression. NMS have implications for diagnosis, and their presence in the prodrome may help make possible the trial of potentially neuroprotective agents in high-risk groups.

There is increasing acceptance of the burden of non-motor symptoms (NMS) and their importance in our effective and personalized management of PD. NMS are part of the heterogeneity of the disease and – along with genetics, imaging and the measurement of markers such as α-synuclein in body tissues and fluids -- may help identify people at high risk of developing PD and those who are already in a prodromal phase. The wide range of NMS associated with PD and its prodrome supports the view that the disease involves multiple anatomical sites and abnormalities of neurotransmission.1,2,3  

NMS and the complex pathology of PD

Distribution and spread of abnormal α-synuclein

PD is associated with a body-wide distribution of α-synuclein aggregates, which are found, for example, in the olfactory bulbs, colon, heart and skin (Fig 1). Involvement of the autonomic nervous system, with accompanying autonomic dysfunction such as constipation, appears to be an early phase in disease development.1

The progression of motor and non-motor symptoms parallels progression in Lewy pathology

Presentation

Non-motor symptoms in Parkinson’s Disease: implications for our understanding of pathogenesis, prodrome and subtypes

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Figure 1: Distribution of a α-synuclein pathology in Parkinsom's disease

Index
  1. Figure 1: Distribution of a α-synuclein pathology in Parkinsom's disease
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Figure 1: Distribution of a α-synuclein pathology in Parkinsom's disease
Slide information
References

The Lewy pathology and aggregated α-synuclein proteins associated with PD are not confined to the central nervous system (CNS); they can also be found in the peripheral nervous system at various sites around the body, such as the skin, gastrointestinal tract, and salivary glands.[Tolosa & Vilas, 2015] The cause of these α-synuclein deposits is still unknown, as is the extent to which they reflect damage or loss of function in these areas.[Fasano et al., 2015; Tolosa & Vilas, 2015]
The relatively recent discovery of peripheral α-synuclein pathology could have profound consequences for the development of a useful biomarker of PD – one that could be measured during the pre-clinical or prodromal stages of the disease.[Tolosa & Vilas, 2015] Peripheral α-synuclein (i.e., that found outside the CNS) is easier to sample (in a skin or gut biopsy) than brain tissue.[Tolosa & Vilas, 2015] If viable, such a biomarker would not only be able to detect PD early, but it could also be used to distinguish the disease from similar forms of parkinsonism, such as multiple system atrophy.[Tolosa & Vilas, 2015; Wood, 2016] At present, however, researchers have yet to agree on a biopsy procedure that yields the most reliable diagnosis.[Tolosa & Vilas, 2015] 
 
 

Fasano A, Visanji NP, Liu LW, et al. Gastrointestinal dysfunction in Parkinson’s disease. Lancet Neurol 2015; 14 (6): 625–639. 

Tolosa E, Vilas D. Peripheral synuclein tissue markers: a step closer to Parkinson’s disease diagnosis. Brain 2015; 138 (8): 2120–2122.

Wood H. Parkinson disease: peripheral α-synuclein deposits – prodromal markers for Parkinson disease? Nat Rev Neurol 2016; 12 (5): 249.

View and download this and other slides on Neurobiology and aetiology of Parkinson's disease here.

The presence of NMS in the prodromal phase of PD supports the Braak hypothesis that Lewy pathology develops in the dorsal motor nucleus of the vagus nerve before spreading subsequently to the substantia nigra, areas of the midbrain and basal forebrain, and finally the neocortex (Fig 2). The sequence of NMS is compatible with this model, with hyposmia and sleep disturbance accompanying early involvement of olfactory centres and lower brainstem, and cognitive and psychiatric symptoms emerging later as cortical structures are implicated.

Presentation

Non-motor symptoms in Parkinson’s Disease: implications for our understanding of pathogenesis, prodrome and subtypes

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Figure 2: Braak staging of Parkinson's disease

Index
  1. Figure 2: Braak staging of Parkinson's disease
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Figure 2: Braak staging of Parkinson's disease
Slide information
References

At a physiological level, PD is characterised by the loss of neurons in specific regions of the brain and a spreading of Lewy pathology.[Halliday et al., 2014] However, these do not necessarily always go together; many regions with a concentration of Lewy pathology show only mild neuronal loss.[Halliday et al., 2014]
The widely-used scheme proposed by Braak and colleagues categorises PD into discrete stages of clinical progression.[Braak et al., 2004; Halliday et al., 2014] The first two stages involve early α‑synuclein deposition associated with the appearance of non-motor symptoms, such as olfactory (smell) and autonomic (vital) dysfunction.[Halliday et al., 2014] As the disease progresses, other aspects of brain function may become impaired, causing sleep dysregulation and/or depression in some individuals.[Halliday et al., 2014] 

Stage 4 is typically the point at which clinical diagnosis occurs, since this stage involves the onset of motor symptoms, such as resting tremor and bradykinesia.[Halliday et al., 2014] Stage 5 is characterised by poor balance and an increased susceptibility to falls, as well as the onset of cognitive impairment.[Halliday et al., 2014] By Stage 6, the patient is likely to be significantly physically disabled and cognitive decline may well have progressed to PD dementia.[Braak et al., 2004; Halliday et al., 2014]
The Braak staging scheme is a useful concept to distinguish between the different phases of PD. [Braak et al., 2004] However, in reality, patients vary considerably in the extent to which they conform to this model.[Halliday et al., 2014] In one study, less than half of all patients with PD whose brains were examined post-mortem showed a close fit to the Braak staging scheme.[Parkkinen et al., 2008] Another study found no pathology in the lower brainstem of some individuals (normally affected in Stage 1), even though it was clearly evident in higher regions.[Kalaitzakis et al., 2008] Together, these studies clearly demonstrate that, beneath the over-arching diagnosis of ‘idiopathic PD’, there exists a wide variety of different disease processes, each of which manifests with the clinical and physiological features of PD.[Halliday et al., 2014] 

Braak H, Ghebremedhin E, Rüb U, et al. Stages in the development of Parkinson’s disease-related pathology. Cell Tissue Res 2004; 318 (1): 121–134.

Halliday GM, Murphy K, Cartwright H. Pathology of Parkinson’s disease. In: Wolters & Baumann (eds). Parkinson Disease and Other Movement Disorders. VU University Press, 2014.

Kalaitzakis ME, Graeber MB, Gentleman SM, Pearce RK. The dorsal motor nucleus of the vagus is not an obligatory trigger site of Parkinson’s disease: a critical analysis of α-synuclein staging. Neuropathol Appl Neurobiol 2008; 34 (3): 284–295.

Parkkinen L, Pirttilä T, Alafuzoff I. Applicability of current staging/categorization of α-synuclein pathology and their clinical relevance. Acta Neuropathol 2008; 115 (4): 399–407. 

View and download this and other slides on Neurobiology and aetiology of Parkinson's disease here.

Involvement of multiple neurotransmitter systems

The classical motor signs and symptoms of PD are clearly associated with loss of nigral dopaminergic neurons. However, dopamine is not the only neurotransmitter deficiency involved in this multi-faceted disorder. Nataliya Titova et al have recently argued that the speed and extent of loss of non-dopaminergic neurons may actually be greater than that of dopaminergic neurons, at least in the prodromal and early stages of the PD syndrome.4

Levels of norepinephrine (NE) are abnormally low in several areas of the central nervous system and in the peripheral sympathetic neurons of people with PD; and NE deficiency can be linked to non-motor features of the disease such as orthostatic hypotension, sleep disturbance, depression, apathy and impaired memory and attention.5 Alberto Espay and colleagues describe the extensive loss of noradrenergic neurons in the locus coeruleus of the PD brain and the consequent reduction in noradrenergic projections to structures from the hippocampus to the frontal cortex. Based on this pathology, they argue that greater attention should be paid to NE and the potential clinical benefits of its enhancement. 

Loss of central cholinergic function has been related to cognitive symptoms, from mild impairment to dementia

Cholinergic denervation has also been implicated; and degeneration of the forebrain cholinergic system appears early in the disease course.4  In a recent review of four studies, each of which used stereological counting methods, the average loss of cholinergic neurons in the pedunculopontine nucleus of patients with PD was 41%.6 Loss of central cholinergic function has been related to cognitive symptoms, from mild impairment to dementia, while reduced peripheral cholinergic activity has been associated, for example, with gastrointestinal dysfunction.4

Serotonergic neurons in the raphe nuclei innervate the hippocampus, hypothalamus, and several regions of the cortex. Lewy pathology in the raphe nucleus is seen early in PD, along with loss of serotonergic neurons.7 The extent of this loss has been associated with depression, reinforcing the idea that deficits in serotonin systems are implicated in PD-related mood disorders. Serotonergic deficits may also contribute to cognitive impairment.

NMS are a central feature of the PD prodrome

Although not the most common prodromal feature, REM Sleep Behavior Disorder (RBD) is the NMS that is most predictive of subsequent PD. In a major review to mark two hundred years since James Parkinson’s celebrated Essay, Obeso et al compared prodromal markers.8 The approximate relative risk (RR) assigned to RBD was 50. This compared with an RR of 5 for olfactory disorder, and of 2.5 for constipation.

Also striking is the length of time by which RBD and other NMS can precede PD, which may not be diagnosed for several decades after appearance of the non-motor symptoms.

In a Mayo clinic series of 27 patients who had idiopathic RBD and subsequently developed a neurodegenerative syndrome -- PD, Multiple System Atrophy (MSA), or Dementia with Lewy Bodies (DLB) -- at least fifteen years later, the median interval between these events was 25 years and the maximum interval was fifty.9  

High relative risk and long latency make REM sleep behavior disorder a compelling target when selecting people for PD prevention studies

Using linked records from the Rochester Epidemiology Project in Minnesota, USA, Savica and colleagues at the Mayo Clinic established that constipation preceded the onset of PD (or the index year) significantly more frequently in cases than in matched controls (Odds Ratio 2.48).10 The association was independent of smoking and caffeine consumption. Intriguingly, it remained significant even when analysis was confined to constipation more than twenty years prior to the onset of motor symptoms. 

In a larger case-control study (overall n=8166 cases; 46,755 controls) conducted in the UK, people who went on to develop PD were significantly more likely than controls to have had constipation five years before diagnosis (RR 2.24).11 Even ten years before diagnosis, the association was still significant (RR 2.01). Table 1 shows the RRs associated with other prodromal autonomic and neuropsychiatric features, along with that attributable to the presence five years before diagnosis of tremor itself.

Table 1: Conditions present significantly more frequently in PD cases than in controls five years before PD diagnosis

Schrag et al. Lancet Neurology 201511. Based on primary care data from the Health Improvement Network UK. In this study, REM sleep behavior disorder and anosmia were reported in fewer than 1% of people per thousand person-years and were excluded from analysis. 

Relative risk

Motor features

Tremor

13.7

Impaired balance

2.19

Autonomic features

Constipation

2.24

Hypotension

3.23

Erectile dysfunction

1.30

Urinary dysfunction

1.96

Dizziness

1.99

Neuropsychiatric

Fatigue

1.56

Depression

1.76

Anxiety

1.41

Whether individual prodromal NMS can be grouped together to further enhance their predictive power, with or without the addition of other markers – including the presence of genes that enhance the risk of developing PD – is a pressing question considered below. So too is the potential of NMS in helping differentiate between subtypes of PD.

NMS and the subtyping of PD

Non-motor features as markers of risk and progression

Patients differ in the nature and severity of their NMS. In part, these differences are predictable on the basis of etiological factors. This is clear, for example, with certain glucocerebrosidase (GBA) polymorphisms and mutations that increase risk of dementia.

In a large Italian study, GBA mutation carriers were more likely than non-carriers to have severe motor disease, and also more likely to have dementia (HR=3.16).12 This was especially so for carriers of severe GBA mutations: presence of the L444P variant was associated with a more aggressive phenotype akin to that of Dementia with Lewy Bodies. In a more recent study from Scandinavia, half of the 12% of incident PD patients who had GBA variants progressed to dementia within seven years.13 This rate of progression was faster than that seen in non-carriers.

Studies of GBA mutation carriers show convincingly that PD risk genes can influence the severity of non-motor symptoms

The presence of one non-motor feature can also be predictive of the presence of others. Thus, PD patients with RBD are more likely than those without sleep disorder to have cognitive impairment.14 This led some investigators to think that PD with RBD might represent a distinct PD phenotype. Being able to identify a PD subtype (whether related to gene mutation or other factors) that conferred enhanced risk of cognitive decline would in principle be clinically useful, since cognitive training might be implemented at an early stage.15

In a prospective study of 113 people with PD (mean age 67 years) attending two Montreal movement disorder clinics, Fereshtehnejad et al used cluster analysis to group patients according to clinical features.16 Investigators were able to re-assess 76 patients after a median of 4.5 years.

Analysis suggested patients could be divided into three groups: those with mainly motor disease and slow progression; those with diffuse/malignant disease; and those with an intermediate phenotype and disease course. Patients in the diffuse/malignant group were more likely than the others to have had mild cognitive impairment, orthostatic hypotension and RBD at baseline.

This distinct phenotype was present despite similar age and disease duration, suggesting that it represented a true subgroup and not a more advanced stage of the same pathophysiological entity. Based on the evidence that this cluster of NMS indicated risk of rapid progression in both motor and non-motor symptoms, the authors recommended baseline screening of all PD patients for cognitive impairment, hypotension and sleep disorder.

Examples of subtyping based on motor and non-motor features

The possibility that urinary symptoms might serve as a simple clinical marker of more rapid disease progression was suggested by Erro and colleagues.17 The median time from diagnosis to introduction of L-dopa was significantly shorter for patients with urinary problems (median 20 months) than those without this feature (37 months).

Sauerbier et al found a more complex picture in a study that identified seven distinct subtypes of PD characterized by the most dominant NMS present. Their analysis suggested subgroups in which the most salient symptoms were cognitive impairment, or apathy, or depression and anxiety, or sleep disturbance, or pain, or fatigue, or autonomic dysfunction.18 The authors further suggested that sleep-dominant and autonomic-dominant subtypes might be considered  together as a phenotype deriving from underlying brainstem and olfactory system pathology, while the subtype dominated by cognitive problems represented a group suffering from mainly cortical involvement.

Another group of researchers cluster analyzed symptoms experienced by a large international cohort including 904 patients from the range of motor stages. The study identified four subtypes: those mildy affected in both motor and non-motor domains; those with severe NMS but mild motor symptoms; those with mild NMS but severe motor features; and those severely affected in both domains.19

This study used validated scales to assess NMS. However, a wide consensus on which scales should be used has yet to emerge. And the 2015 MDS diagnostic criteria made clear that at that stage we were  not able to reliably identify subtypes of PD in a way that would be clinically useful.20

If “PD” is reached via several different pathological pathways, finding common markers of progression will be difficult

Indeed, as Marras and Chaudhuri point out, the subtyping project is likely to prove challenging since each disease-associated feature lies somewhere along a spectrum, and features are not likely to cluster in distinct, non-overlapping groups.21 The problem will be compounded if Alberto Espay et al are correct in arguing that PD is at least twenty different diseases.22 On this view, degeneration in the nigral dopamine system is common to a range of  conditions, but these conditions differ in their molecular and genetic etiologies, and clinical pathology.

That said, there is considerable impetus in this direction, and much research effort is being directed towards the identification of subtype “signatures” that reflect a distinct pathophysiology relevant to prognosis and the much-needed individualization of management.23

NMS in the strategy to prevent PD

NMS have potential to contribute – along with other clinical, imaging and biofluid markers – to the identification of people in the prodromal phase of PD who are at high risk of developing classical motor symptoms. The ability to do this offers opportunities for early intervention, and perhaps prevention – assuming that we can develop neuroprotective, disease-modifying agents that are well tolerated.

Hyposmia plus DAT deficit is highly predictive of conversion to PD within 4 years;24 RBD is highly predictive of synucleinopathy over 12 years25

The potential for such an approach is illustrated by the Parkinson Associated Risk Study (PARS) which showed that the combined presence of hyposmia and a deficit on dopamine transporter (DAT) imaging is highly predictive of conversion to PD within four years.24 At the outset of the study, olfactory screening in the community identified 203 people with hyposmia who were subsequently invited for DAT imaging. Among 21 subjects who were hyposmic and had a DAT deficit at baseline (65% or less of expected binding), 67% had been diagnosed with PD by four years. The RR compared with people with an intermediate or no baseline DAT deficit was 17.5.

The fact that idiopathic RBD is also a powerful predictor of synucleinopathies is being used to advantage in a parallel initiative.25  Data contributed by the 24 centers belonging to the international RBD Study Group were used to identify factors relevant to phenoconversion among people with sleep disorder at baseline. In this major study of 1280 subjects with RBD at the outset, the rate of conversion to PD, DLB or MSA was 74% at twelve years. Risk of phenoconversion was significantly increased by a range of motor and non-motor features (Table 2).

Table 2: Factors predicting conversion to PD, DLB or MSA in people with RBD followed for twelve years

Postuma et al 201925. In this study, age (HR = 1.54) also predicted phenoconversion. There was no significant effect of sex, daytime somnolence, insomnia, restless legs syndrome, sleep apnea, urinary dysfunction, orthostatic symptoms, depression, anxiety, or hyperechogenicity on substantia nigra ultrasound. 

Hazard ratio

Abnormal quantitative motor testing

3.16

Objective motor examination

3.03

Olfactory deficit

2.62

Mild cognitive impairment

1.91-2.37

Erectile dysfunction

2.13

Motor symptoms

2.11

Abnormal DAT scan

1.98

Colour vision abnormalities

1.69

Constipation

1.67

REM atonia loss

1.54

In relation to possible trials of potentially neuroprotective agents, this large study is helpful in guiding choice of stratification factors based on relative risk, and also in estimating the sample size needed – which the authors put at 142 to 366 patients per arm.25

Also highly relevant to the design of future trials of prevention is the Michael J Fox Foundation’s groundbreaking Parkinson’s Progression Markers Initiative. As of January 2019, this had completed enrollment of cohorts of people at enhanced genetic risk of PD, those in the PD prodrome, those with newly diagnosed but untreated PD, those with SWEDD (motor symptoms suggestive of PD but scans without evidence of dopaminergic deficit), and healthy controls.26 In total, longitudinal biomarker data will be available on more than 1400 people. Measures include motor function; NMS such as olfaction, RBD and cognition; MRI, PET and SPECT imaging; and the serial collection of biofluid samples from blood and CSF for assay of α-synuclein.

In the high-risk and prodromal cohorts, it is hoped that identifying a symptom and biomarker signature highly predictive of conversion to PD will open a window of opportunity for early intervention with neuroprotective strategies.

References
  1. Lim S-Y, Lang AE. The Nonmotor Symptoms of Parkinson’s Disease—An Overview. Movement Disorders. 2010;25(Suppl. 1):S123–S130
  2. Klingelhoefer L, Reichmann H. Parkinson's disease as a multisystem disorder. J Neural Transm (Vienna). 2017 Jun;124(6):709-713.
  3. Borghammer P, Knudsen K, FedorovaTD, et al. Imaging Parkinson’s disease below the neck. NPJ Parkinsons Dis. 2017;3:15
  4. Titova N et al. Parkinson's: a syndrome rather than a disease? J Neural Transm. 2016 Dec 27. doi: 10.1007/s00702-016-1667-6.
  5. Espay AJ1, LeWitt PA, Kaufmann H. Norepinephrine deficiency in Parkinson's disease: the case for noradrenergic enhancement. Mov Disord. 2014 Dec;29(14):1710-1719.
  6. Giguère N et al. On Cell Loss and Selective Vulnerability of Neuronal Populations in Parkinson's Disease. Front Neurol. 2018; 9: 455.
  7. Fox SH, Chuang R, Brotchie JM. Serotonin and Parkinson's disease: On movement, mood, and madness. Mov Disord. 2009 Jul 15;24(9):1255-66. doi: 10.1002/mds.22473.
  8. Obeso JA, Stamelou M, Goetz CG, et al. Past, present, and future of Parkinson's disease: A special essay on the 200th Anniversary of the Shaking Palsy. Mov Disord. 2017;32(9):1264‑1310.
  9. Claassen DO, Josephs KA, Ahlskog JE, et al. REM sleep behavior disorder preceding other aspects of synucleinopathies by up to half a century. Neurology. 2010;75(6):494–499.
  10. Savica R, Carlin JM, Grossardt BR, et al. Medical records documentation of constipation preceding Parkinson disease: A case-control study. Neurology. 2009;73(21):1752-1758.  
  11. Schrag A, Horsfall L, Walters K, et al. Prediagnostic presentations of Parkinson's disease in primary care: a case-control study. Lancet Neurol. 2015;14(1):57-64.
  12. Cilia R et al.  Survival and dementia in GBA-associated Parkinson's disease: The mutation matters. Ann Neurol. 2016; 80: 662-673.
  13. Lunde KA et al. Association of glucocerebrosidase polymorphisms and mutations with dementia in incident Parkinson's disease. Alzheimers Dement. 2018 Oct;14(10):1293-1301.
  14. Gagnon JF. Mild cognitive impairment in rapid eye movement sleep behavior disorder and Parkinson's disease. Ann Neurol. 2009 Jul;66(1):39-47.
  15. Aarsland D et al. Cognitive decline in Parkinson disease. Nat Rev Neurol. 2017 Mar 3. doi: 10.1038/nrneurol.2017.27.
  16. Fereshtehnejad SM, Romenets SR, Anang JB, et al. New Clinical Subtypes of Parkinson Disease and Their Longitudinal Progression: A Prospective Cohort Comparison With Other Phenotypes. JAMA Neurol. 2015 Aug;72(8):863-8
  17. Erro R, Picillo M, Amboni M, et al Nonmotor predictors for levodopa requirement in de novo patients with Parkinson's disease. Mov Disord. 2015;(3):373-378.
  18. Sauerbier A, Rosa-Grilo M, Qamar MA, Chaudhuri KR. Nonmotor Subtyping in Parkinson's Disease. Int Rev Neurobiol. 2017;133:447-478
  19. Mu J, Chaudhuri KR, Bielza C et al. Parkinson's Disease Subtypes Identified from Cluster Analysis of Motor and Non-motor Symptoms. Front Aging Neurosci. 2017 Sep 20;9:301. doi: 10.3389/fnagi.2017.00301.
  20. Postuma RB et al. MDS clinical diagnostic criteria for Parkinson's disease. Mov Disord 2015; 30: 1591-601.
  21. Marras C, Chaudhuri KR. Nonmotor features of Parkinson's disease subtypes. Mov Disord. 2016 Aug;31(8):1095-102.
  22. Espay A et al. Precision medicine for disease modification in Parkinson disease. Nature Rev Neurol 2017;  13: 119–126
  23. Lim SY et al. Integrating Patient Concerns into Parkinson's Disease Management. Curr Neurol Neurosci Rep. 2017 Jan;17(1):3. doi: 10.1007/s11910-017-0717-2.
  24. Jennings D, Siderow A, Stern M et al. Conversion to Parkinson disease in the PARS hyposmic and dopamine transporter-deficit prodromal cohort. JAMA Neurol. 2017;74:933-40.
  25. Postuma, Iranzo A, Hu M et al. Risk and predictors of dementia and parkinsonism in idiopathic REM sleep behaviour disorder: a multicentre study. Brain. 2019 Mar 1;142(3):744-759.
  26. Marek K, Chowdhury S, Siderowf A et al. The Parkinson's progression markers initiative (PPMI) - establishing a PD biomarker cohort. Ann Clin Transl Neurol. 2018 Oct 31;5(12):1460-1477

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