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Research Articles: Neurobiology of Disease

Nigrostriatal and mesolimbic D2/3 receptor expression in Parkinson's disease patients with compulsive reward-driven behaviors

Adam J. Stark1, Christopher T. Smith2, Ya-Chen Lin3,4, Kalen J. Petersen1, Paula Trujillo1, Nelleke C. van Wouwe1, Hakmook Kang3,4, Manus J. Donahue1,5,6, Robert M. Kessler7, David H. Zald2,6 and Daniel O. Claassen1

1Neurology, Vanderbilt University Medical Center, Nashville, TN 2Psychology, Vanderbilt University, Nashville, TN 3Biostatistics, Vanderbilt University Medical Center, Nashville, TN 4Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 5Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 6Psychiatry, Vanderbilt University Medical Center, Nashville, TN 7Radiology, University of Alabama at Birmingham School of Medicine, Birmingham, AL

DOI: 10.1523/JNEUROSCI.3082-17.2018

Received: 21 October 2017

Revised: 6 February 2018

Accepted: 13 February 2018

Published: 24 February 2018

Author contributions: A.J.S., C.T.S., Y.-c.L., K.P., P.T., N.C.v.W., H.K., M.J.D., and D.O.C. performed research; A.J.S., C.T.S., Y.-c.L., K.P., P.T., N.C.v.W., H.K., M.J.D., R.M.K., D.H.Z., and D.O.C. analyzed data; A.J.S., R.M.K., D.H.Z., and D.O.C. wrote the paper; R.M.K., D.H.Z., and D.O.C. designed research.

Conflict of Interest: The authors declare no competing financial interests.

Corresponding Author: Daniel O. Claassen, MD, Department of Neurology, Vanderbilt University Medical Center, 1161 21st Ave South A-0118, Nashville, TN, 37232, Tel: 615-936-1007, Fax: 615-343-3946, Email: [email protected]

Cite as: J. Neurosci ; 10.1523/JNEUROSCI.3082-17.2018

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Copyright © 2018 the authors

1 Nigrostriatal and mesolimbic D2/3 receptor expression in Parkinson’s disease 2 patients with compulsive reward-driven behaviors

3 4 Adam J. Stark, BA1; Christopher T. Smith, PhD2; Ya-Chen Lin, BS3,4; Kalen J. Petersen, BS1; 5 Paula Trujillo, PhD1; Nelleke C. van Wouwe, PhD1; Hakmook Kang, PhD3,4; Manus J. Donahue, 6 PhD1,5,6; Robert M. Kessler, MD7; David H. Zald, PhD2,6; Daniel O. Claassen, MD1* 7 8 1Neurology, Vanderbilt University Medical Center, Nashville, TN 9 2Psychology, Vanderbilt University, Nashville, TN 10 3Biostatistics, Vanderbilt University Medical Center, Nashville, TN 11 4Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 12 5Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 13 6Psychiatry, Vanderbilt University Medical Center, Nashville, TN 14 7Radiology, University of Alabama at Birmingham School of Medicine, Birmingham, AL 15 16 Prepared as a research article for Journal of Neuroscience 17 Title characters: 125 18 Running title: receptors in compulsive behaviors 19 Figures: 3; Tables: 1 20 Pages: 21 Abstract word count: 245 22 Introduction word count: 585 23 Discussion word count: 1500 24 *Corresponding Author: 25 Daniel O. Claassen, MD 26 Department of Neurology 27 Vanderbilt University Medical Center 28 1161 21st Ave South A-0118 29 Nashville, TN, 37232 30 Tel: 615-936-1007 31 Fax: 615-343-3946 32 Email: [email protected]

1

33 Abstract

34 35 The nigrostriatal and mesocorticolimbic dopamine networks regulate reward-driven behavior.

36 Regional alterations to mesolimbic dopamine D2/3 receptor expression are described in drug-

37 seeking and addiction disorders. Parkinson’s disease (PD) patients are frequently prescribed D2-

38 like (DAgonist) therapy for motor symptoms, yet a proportion develop

39 clinically significant behavioral addictions characterized by impulsive and compulsive behaviors

40 (ICBs). Until now, changes in D2/3 receptor binding in both striatal and extrastriatal regions have

41 not been concurrently quantified in this population. We identified 35 human PD patients (both

42 male and female) receiving DAgonist therapy, with (n=17) and without (n=18) ICBs, matched

43 for age, disease duration, disease severity, and dose of dopamine therapy. In the off-dopamine

18 44 state, all completed PET imaging with [ F], a high affinity D2-like receptor ligand that

45 can measure striatal and extrastriatal D2/3 nondisplaceable binding potential (BPND). Striatal

46 differences between ICB+/ICB- patients localized to the ventral striatum and putamen, where

47 ICB+ subjects had reduced BPND. In this group, self-reported severity of ICB symptoms

48 positively correlated with midbrain D2/3 receptor BPND. Group differences in regional D2/3 BPND

49 relationships were also notable: ICB+ (but not ICB-) patients expressed positive correlations

50 between midbrain and caudate, putamen, globus pallidus, and amygdala BPND’s. These findings

51 support the hypothesis that compulsive behaviors in PD are associated with reduced ventral and

52 dorsal striatal D2/3 expression, similar to changes in comparable behavioral disorders. The data

53 also suggest that relatively preserved ventral midbrain projections throughout

54 nigrostriatal and mesolimbic networks are characteristic of ICB+ patients, and may account for

55 differential DAgonist therapeutic response.

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57 Significance Statement

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59 The biologic determinants of compulsive reward-based behaviors have broad clinical relevance,

60 from addiction to neurodegenerative disorders. Here, we address biomolecular distinctions in

61 Parkinson's disease patients with impulsive compulsive behaviors (ICBs). This is the first study

62 to image a large cohort of ICB+ patients using positron emission tomography with

63 [18F]fallypride, allowing quantification of D2/3 receptors throughout the mesocorticolimbic

64 network. We demonstrate widespread differences in dopaminergic networks, including (1) D2-

65 like receptor distinctions in the ventral striatum and putamen, and (2) a preservation of

66 widespread dopaminergic projections emerging from the midbrain, which is associated with the

67 severity of compulsive behaviors. This clearly illustrates the roles of D2/3 receptors and

68 medication effects in maladaptive behaviors, and localizes them specifically to nigrostriatal and

69 extrastriatal regions.

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78 Abbreviations

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80 AMNART: American version of the National Adult Reading Test

81 BPND: Binding Potential

82 DAgonist: agonist

83 ICB: Impulsive compulsive behavior

84 LEDD: Levodopa Daily Dose

85 MDS-UPDRS: Movement Disorders Society-United Parkinson’s disease Rating Scale

86 MoCA: Montreal Cognitive Assessment

87 PD ICB-: Parkinson’s Disease- without Impulsive Compulsive Behaviors

88 PD ICB+: Parkinson’s Disease- with symptoms consistent with Impulsive Compulsive Behavior

89 PET: Positron Emission Tomography

90 QUIP-RS: Questionnaire for impulsive Compulsive Disorders in Parkinson’s disease Rating

91 Scale

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4

100 Introduction

101

102 Altered dopaminergic signaling in the nigrostriatal and mesolimbic circuits is the focus of many

103 investigations of the pathophysiologic basis of addictive behaviors, such as drug seeking,

104 compulsive gambling, and binge eating (Haber and Knutson, 2010). Within these networks,

105 dopamine release from ventral midbrain projections is implicated in both the development and

106 maintenance of addiction (Pettit et al., 1984; Yin et al., 2004). Reductions in striatal dopamine

107 D2-like (D2/D3) receptor binding are consistently observed in patients with alcohol, cocaine,

108 methamphetamine, opiate, and nicotine abuse (Trifilieff and Martinez, 2014). Moreover, ventral

109 striatal decreases in D2/3 receptor expression are associated with impulsive behaviors, a risk

110 factor for the development of addiction (Dalley et al., 2007), while decrements in dorsal striatal

111 D2/3 receptor levels are linked to established patterns of addictive behavior (Nader et al., 2006).

112 D2/3 receptors are also important in the ventral midbrain, where decreased D2/3 (auto) receptor

113 binding is associated with greater impulsivity in healthy humans (Buckholtz et al., 2010).

114

115 and , D3 preferring D2/3 agonists (DAgonists), produce improvements in

116 the motor symptoms of Parkinson’s Disease (PD) (Piercey, 1998). However, these D2/3-

117 preferring medications can also induce impulsive and compulsive behaviors (ICBs),

118 distinguished by an aberrant focus on reward-driven activities including gambling, shopping,

119 sex, eating, and hobbies (Voon et al., 2007), as well as heightened novelty seeking (Voon et al.,

120 2011). The causal nature of this effect is emphasized by the clinical finding that discontinuation

121 or reduction of DAgonist in ICB+ individuals can result in symptom improvement (Claassen et

122 al., 2013). Due to the receptor-level specificity of DAgonist compounds, investigation of

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123 mesocorticolimbic D2/3 levels in PD patients with ICB symptoms provides an opportunity to

124 examine the role of D2/3 receptors in maladaptive reward-seeking behaviors in PD patients.

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126 Dopaminergic projections from the ventral midbrain to striatal, limbic, and cortical regions in the

127 brain reward circuit are critical for reward network function (Haber and Knutson, 2010). A small

128 number of PET studies utilizing [11C] (Steeves et al., 2009) and [11C]-(+)-PHNO

129 (Payer et al., 2015) have reported reduced baseline D2/3 receptor levels in the ventral striatum in

130 ICB+ patients; this finding may be due to either decreased ventral striatal D2/3 receptor

131 expression, or increased ventral striatal extracellular dopamine levels, which could in theory

132 reduce the number of available D2/3 receptors. Due to its moderate affinity for the D2/3 receptor,

11 133 [ C]raclopride provides an estimate of striatal D2/3 receptor levels but has not typically been

11 134 used to estimate extrastriatal D2/3. [ C]-(+)-PHNO, a higher affinity D3-preferring D2/3 agonist

135 radioligand, can be used to estimate D2/3 receptor levels in striatal and select extrastriatal regions

136 (a relatively low signal-to-noise ratio in most cortical regions restricts extrastriatal use) (Hall et

137 al., 1989; Egerton et al., 2010). One [11C]FLB-457 study noted increased binding in the anterior

138 cingulate cortex and midbrain of ICB+ patients during a control task and gambling task

139 respectively (Ray et al., 2012). However, while [11C]FLB-457 can be used to estimate

140 extrastriatal D2/3 levels, it does not provide accurate binding estimates in the striatum (Farde et

141 al., 1997). To date, no single study of ICBs in PD patients has concurrently evaluated D2/3

142 receptor levels in the midbrain, striatal, limbic, and cortical regions of the reward circuit, or the

143 relationships between regional D2/3 mediated neurotransmission in this network.

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145 An approach capable of concurrently evaluating striatal and extrastriatal areas could provide a

146 greater understanding regarding the interaction between important components of the reward

147 network (including the ventral midbrain, striatum, and the orbitofrontal, prefrontal, and anterior

18 148 cingulate cortices). [ F]fallypride is a high-affinity D2/3 radioligand that can provide accurate

149 estimates of binding in both striatal and extrastriatal regions, allowing for quantification of

150 dopamine D2/3 receptor levels (i.e. nondisplaceable binding potential, BPND) throughout the

151 mesocorticolimbic network (Kessler et al., 2000; Mukherjee et al., 2002). We assessed a cohort

152 of PD patients (with and without ICB and matched for disease severity) to examine the

153 localization of D2/3 BPND differences, thus determining the relationship between D2/3 receptor

154 levels and self-reported severity of reward-based behaviors. We hypothesized that D2/3 BPND

155 reductions in ICB+ patients would localize to the ventral striatum, with distinctions in the

156 midbrain and anterior cingulate cortex (Steeves et al., 2009; Ray et al., 2012; Payer et al., 2015).

157 Finally, in an effort to examine putative differences in the reward-network between groups and

158 to better understand the interaction between the dopaminergic system in the midbrain and in

159 terminal field locations, we evaluated the relationship between midbrain D2/3 receptor expression

160 and receptor expression throughout the nigrostriatal and mesolimbic networks.

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168 Methods

169 170 Participants

171 Subjects (n=35; sex=11F/24M; age=61.8±8.5 years) were recruited from the Movement

172 Disorders Clinic at Vanderbilt University Medical Center, and provided written, informed

173 consent in accordance with the Vanderbilt Institutional Review Board. We screened patients

174 diagnosed with idiopathic Parkinson’s disease (meeting UK Brain Bank criteria), who were

175 taking DAgonist medication (including pramipexole, ropinerole, and ) with or without

176 concomitant levodopa therapy. A clinical determination of active ICB symptoms was based on

177 behavioral interview with the patient care partner (Mestre et al., 2013). ICBs were defined as

178 clinically problematic compulsive behaviors with onset following DAgonist administration

179 according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR)

180 (American Psychiatric Association, 2000), with specific attention towards the previously

181 reported categories of compulsive shopping, eating (with modified DSM-IV-TR criteria for

182 binge-eating disorder including overeating as well as episodes of binge-eating), hypersexuality,

183 gambling, and hobbyism (Voon et al., 2007; Weintraub et al., 2012). Prior to the interview,

184 participants completed the Questionnaire for Impulsive-Compulsive Disorders in Parkinson's

185 Disease-Rating Scale (QUIP-RS). As per the methods of Weintraub et al. (2009), answers to

186 QUIP-RS items could be used to guide the clinical interview, but were not used to singularly

187 define an explicit cutoff mark in the diagnosis of ICB. As a result, certain patients within the

188 ICB- group may have expressed an increased proclivity towards shopping, eating, sexual

189 behavior, gambling, or hobbyism relative to others in the same group; however, these behaviors

190 were not deemed clinically problematic in these subjects. While previous investigations of ICB

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191 have often concentrated on compulsive gambling, recruitment efforts were not limited to a single

192 subcategory, and reflected the distribution in the local population.

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194 Patients completed the self-reported Movement Disorders Society-United Parkinson’s Disease

195 Rating Scale (MDS-UPDRS) part II (an assessment of the impact of PD on activities of daily

196 living) (Goetz et al., 2008; Weintraub et al., 2012). Cognitive impairment was assessed with the

197 Montreal Cognitive Assessment (MoCA), and premorbid intelligence screened using the

198 American version of the National Adult Reading Test (AMNART) (Grober and Sliwinski, 1991;

199 Nasreddine et al., 2005). Depression symptoms were screened using the Center for

200 Epidemiologic Studies Depression Scale Revised (CESD-R) (Radloff, 1977). Patients were

201 excluded if (i) they had an implanted deep brain stimulator; (ii) were prescribed psychoactive

202 medications that could alter dopamine receptor availability; (iii) were demented, or suffered from

203 comorbid neuropsychiatric, cerebrovascular, or cardiovascular disease; (iv) scored <22 in the

204 MoCA (to exclude possible cognitive impairment); or (v) had contraindications for MRI or PET.

205 Levodopa and DAgonist dosages were converted to levodopa equivalent dose using accepted

206 criteria (Tomlinson et al., 2010). From the pool of individuals who had completed the initial

207 screening visit, subjects were selectively enrolled in the imaging portion of the study based on

208 the determination of ICB status and matched by UPDRS-II severity, in order to ensure size-

209 matched groups. From the 90 PD patients who had completed the initial screening and

210 behavioral interview, 17 ICB+ and 18 ICB- patients were ultimately included in the study.

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212 The structural MRI and [18F]fallypride PET scan were completed in the Off-dopamine (levodopa

213 and DAgonist) state. Of note, in the Off condition, patients refrained from all dopaminergic

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214 medications (washout was at least 40 hours for DAgonist and 16 hours for Levodopa) before

215 assessments, as this period is sufficient to eliminate DAgonist effects while minimizing patient

216 discomfort (the half-life of levodopa and immediate-release DAgonists are approximately 1.5

217 and 6 hours respectively) (Fabbrini et al., 1987; Tompson and Oliver-Willwong, 2009).

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219 Magnetic resonance imaging

220 Structural MRI scans were completed prior to PET scans. Patients were scanned at 3.0T (Philips,

221 Best, The Netherlands) using body coil transmission and 8-channel SENSE reception. All

222 underwent a multimodal imaging protocol consisting of the following scans: (i) T1-weighted

3 223 (MPRAGE; spatial resolution=1x1x1 mm ; TR/TE=8.9/4.6 ms), (ii) T2-weighted FLAIR (spatial

224 resolution=1x1x1 mm3; TR/TE=4000/120ms).

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226 Fallypride PET Data Acquisition

227 [18F]fallypride ((S)-N-[(1-allyl-2-pyrrolidinyl)methyl]-5-(3[18F]fluoropropyl)-2,3-

228 dimethoxybenzamide) was synthesized in the radiochemistry laboratory adjacent to the PET unit,

229 in alignment with the synthesis and quality control procedures outlined by US Food and Drug

230 Administration INDs 47245 and 120035. Data were collected on a GE Discovery STE PET/CT

231 scanner. Serial scan acquisition began simultaneously with a 5.0 mCi slow bolus injection of

232 [18F]fallypride (specific activity > 3000 Ci/mmol). Arterial blood sampling was not performed.

233 CT scans were collected prior to each of the three emissions scans for the purpose of attenuation

234 correction. Together, the scans lasted approximately 3.5 hours with two breaks of 15-20 minutes

235 (beginning approximately 70 minutes and 135 minutes after the beginning of the scan,

236 respectively) included for patient comfort

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238 Fallypride PET Data Processing

239 Following attenuation correction and decay correction, serial PET scans were co-registered with

240 each other using the Statistical Parametric Mapping software (SPM8, Wellcome Trust Centre for

241 Neuroimaging, London, UK, http://www.fil.ion.ucl.ac.uk/spm/software/) in order to correct for

242 motion across scanning periods with the last dynamic image of the first series as the reference

243 image. The mean PET image produced by realignment was then co-registered to the subject’s

244 corresponding high-resolution T1 MRI image using FSL’s FLIRT with 6 degrees of freedom

245 (FSL v5.0.2.1, FMRIB, Oxford, UK). Regions of interest (ROIs), including the caudate,

246 putamen, globus pallidus, ventral striatum, amygdala, midbrain, thalamus, and cerebellum, were

247 manually segmented on the T1-weighted MRI scans by a neuroradiologist (RMK) and

248 neurologist (DOC) experienced in PET and MRI data analysis, and transferred to the co-

249 registered PET images through the FLIRT FSL transformation matrix. These regions were

250 selected due to their importance in the nigrostriatal and mesolimbic circuits (Haber and Knutson,

251 2010), implicating them as areas where ICB-related differences in dopaminergic signaling could

252 be evident. Manual segmentation methods followed established anatomical criteria, capturing the

253 central portion of the selected region to gather the most representative sample and avoid partial

254 volume effects, and were applied so as to avoid the potential confound of inter-subject structural

255 variability.

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257 The caudate, putamen, and globus pallidus were manually drawn on axial slices approximately

258 2-12 mm above the ACPC line. The ventral striatum was segmented on coronal slices with the

259 criteria of Mawlawi et al. (2001). The amygdala can be identified on axial slices 6-20 mm below

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260 the ACPC line, 12-28 mm lateral to the midline, and 2-12 mm behind the plane of the anterior

261 commissure (Schaltenbrand and Wahren, 1998). To avoid contamination by signal from striatal

262 regions with high BPND due to partial volume averaging, amygdala ROIs were defined 10-16 mm

263 beneath the ACPC plane. The midbrain was drawn on axial slices in the ventral midbrain 9-14

264 mm below the ACPC line, and the thalamus was segmented 2-12 mm above the ACPC line

265 (Schaltenbrand and Wahren, 1998). The cerebellar ROI was drawn centrally within the structure

266 to avoid partial voluming of midbrain or cortical signal, and contained an approximately equal

267 distribution of grey and white matter. In order to account for potentially divergent structure size

268 between groups, ROI volumes were collected and preserved for statistical analysis. For voxel-

269 wise analyses, subject-space BPND images were registered to Montreal Neurological Institute

270 (MNI) space using FSL’s FNIRT (FSL v5.0.2.1, FMRIB, Oxford, UK).

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272 Regional DA D2/3 levels were estimated using the simplified reference region method

273 (Lammertsma et al., 1996) performed in PMOD software (PMOD Technologies, Zurich

18 274 Switzerland) to measure [ F]fallypride binding potential (BPND; the ratio of specifically bound

275 [18F]fallypride to its nondisplaceable concentration as defined under equilibrium conditions).

276 Voxelwise estimates were generated using a published basis function fitting approach (Gunn et

277 al., 1997) conducted in the PXMOD module of PMOD. The rate constants were specified by the

-1 -1 278 user as k2a minimum=0.006 min and k2a maximum=0.6 min . The cerebellum was selected as

279 the reference region due to its relatively limited expression of D2/3 receptors in the cerebellum

280 (Camps et al., 1989), it was selected as the reference region (Kessler et al., 2009). ROI BPND

281 values were determined by evaluating the average BPND within an ROI overlaid on the subject-

282 space voxel-wise map, which was generated in the previous PET processing steps.

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284 Experimental design and statistical analysis

285 Group differences between ICB+ (n=17; sex=11M/6F) and ICB- subjects (n=18; sex=13M/5F)

286 in demographic and clinical parameters, ROI volume, and the proportion of LEDD accounted for

287 by DAgonists were evaluated using Mann Whitney U tests. We also examined whether scores on

288 the QUIP-RS were significantly correlated with LEDD for either group. Sex and DAgonist

289 regimen differences were evaluated with a chi-square test. To test the hypothesis that ICB+

290 patients have different dopamine D2/3 receptor expression in striatal and extrastriatal areas, mean

18 291 group regional [ F]fallypride BPND was analyzed via a general linear regression model (GLM),

292 where within-ROI BPND was the dependent variable and ICB status was the primary independent

293 variable. Age was included as a covariate, due to previous evidence of an effect of age on D2/3

294 receptor status (Mukherjee et al., 2002). UPDRS-II was also specified as a covariate, as PD

295 severity has been shown to influence D2/3 binding (Kaasinen et al., 2000). UPDRS-II was

296 selected because of past indications that it accurately tracks disease severity, and the fact that

297 measurements of short term motor symptoms fluctuate and are highly sensitive to medication

298 status (Harrison et al., 2009). Although study design led to equivalent age and UPDRS-II values

299 between groups, these factors were included as covariates to account for residual confounding

300 effects. A separate model was used to test mean differences in each ROI. A voxel-wise analysis

301 completed using SPM8 assessed group differences in D2/3 BPND across cortical regions, given

302 that this was an exploratory analysis which sought to capture distinctions in subregions of larger

303 structures. Age was included as a covariate in this analysis. Subcortical areas were excluded

304 through the use of an explicit cortical mask in the voxel-wise analysis, to improve statistical

305 power and to ensure that the considerable difference in D2/3 density between the basal ganglia

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306 and cortex did not serve as a confounding factor (Joyce et al., 1991). Significance criteria

307 consisted of an uncorrected p<0.001, and multiple comparisons correction was accomplished by

308 controlling cluster-level FDR at 0.05.

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310 A secondary analysis investigated associations between D2/3 receptor binding in each ROI and

311 scores on the QUIP-RS, a clinical measure of ICB severity. A partial Pearson’s correlation was

312 used to examine these relationships, specifying age and UPDRS-II score as covariates. As an

313 exploratory method, we examined if the relationship between midbrain BPND and BPND in other

314 regions differed in ICB+ patients. Because the midbrain provides key dopaminergic inputs to the

315 nigrostriatal and mesolimbic tracts, and midbrain binding potential significantly correlates with

316 binding potential in other components of the reward circuit (Zald et al., 2010), this analysis

317 served to probe potential differences in dopaminergic network integrity. To accomplish this, we

318 used a linear regression model including midbrain BPND as the dependent variable, age and

319 UPDRS-II scores as covariates, and ICB status, BPND of the other six ROIs, and the interaction

320 between ICB status and BPND of the other six ROIs (caudate, putamen, ventral striatum, globus

321 pallidus, thalamus, and amygdala) as independent variables. To avoid over-fitting, the first

322 principal component of age and UPDRS-II was used as a single covariate. A separate model was

323 used for the caudate, putamen, ventral striatum, globus pallidus, and thalamus, where the

324 variables of non-midbrain ROI BPND and interaction between group status and non-midbrain

325 ROI BPND were present for one ROI at a time in a pairwise manner. For ROIs where a significant

326 interaction was observed, midbrain-ROI correlations were examined using a Pearson’s partial

327 correlation test with age and UPDRS-II as covariates. False discovery rate (FDR) was controlled

328 at 0.1 to correct for multiple comparisons in the ROI-based GLM and correlation analyses, and

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329 all reported results survived this correction threshold. All analyses were performed using SPSS

330 Statistics 24 (IBM, Armonk, NY, USA) and R (R Foundation for Statistical Computing, Vienna,

331 2016).

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352 Results

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354 Demographic & Clinical Features

355 Demographic and clinical features for patients meeting the ICB inclusion criteria (n=17) and

356 those without ICBs (n=18) are presented in Table 1. QUIP-RS scores were significantly greater

357 in ICB+ patients after correction for multiple comparisons (P<0.0001). DAgonist and levodopa

358 equivalent daily doses in the On condition were comparable across groups. No significant group

359 difference was observed in the type of DAgonist prescribed (Table 1-3; Extended Data section)

360 or the fraction of LEDD accounted for by DAgonist as opposed to levodopa (P=0.99), and PET

361 acquisition parameters were similar (Table 1-1 and Table 1-2 respectively; Extended Data).

362 LEDD did not significantly correlate with QUIP-RS scores for either group. Hypersexuality,

363 compulsive eating, compulsive shopping, and hobbyism were all included among the expressed

364 ICB subcategories; no subjects were identified as participating in pathological gambling.

365

366 —INSERT TABLE 1 HERE— 367

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376 Mean regional fallypride binding potential

377 When we examined group differences in mean regional BPND using a GLM with age and

378 UPDRS-II specified as covariates, [18F]fallypride binding was significantly lower in the bilateral

379 ventral striatum (unstandardized B=1.99; df=31; P=0.023) and putamen (unstandardized B=2.43;

380 df=31; P=0.026) of ICB+ (n=17) when compared to the ICB- (n=18) patients, surviving FDR

381 correction. There were no significant ROI volume differences between the ICB+ and ICB-

382 groups; therefore ROI size was not considered as a confounding factor. The voxel-wise analysis

383 did not reveal any significant clusters in cortical regions. Figure 1 presents the age- and

384 UPDRSII-adjusted mean regional BPNDs for the ventral striatum and putamen. Visualization of

385 the segmentation protocol for all regions is displayed in Figure 1-1 of the Extended Data,

386 alongside a full description of ROI volumes and within-ROI BPND values (Figure 1-2 and Figure

387 1-3 of the Extended Data, respectively).

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389 —INSERT FIGURE 1 HERE— 390 391

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403 18 404 Relationships between regional [ F]fallypride BPNDs and clinical measures

405 When all regional BPND values were compared with QUIP-RS scores, a significant positive

406 correlation between midbrain BPND and QUIP-RS scores was observed for the ICB+ group

407 (r=0.633; df=13; P=0.011), surviving FDR correction. This association was not present in the

408 ICB- group (r=-0.129; df=13; P=0.634). In order to better define whether the relationship

409 between QUIP-RS and midbrain BPND was significantly different between groups, a post-hoc

410 analysis was conducted using a linear regression model including midbrain BPND as the

411 dependent variable, the first principal component of age and UPDRS-II score as a covariate, and

412 ICB status, QUIP-RS score, and the interaction between ICB status and QUIP-RS score as

413 independent variables. A significant interaction term was present for this analysis (P=0.009). For

414 both groups, no significant correlation was observed between BPND and QUIP-RS in any other

415 ROI (see Figure 2-1 of the Extended Data for a full listing of correlation coefficients). Figure 2

416 displays a scatterplot of BPND vs. QUIP-RS and a representative segmentation for the midbrain.

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418 —INSERT FIGURE 2 HERE— 419

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18 428 Regional [ F]fallypride BPND relationships

429 When we examined the relationship between binding in the midbrain and binding in other

430 reward-related regions (df=30), significant group differences in the midbrain-ROI correlation

431 (FDR corrected; defined by significant interaction term) were observed in the caudate

432 (unstandardized B=-0.71; P=0.031), putamen (unstandardized B=-0.79; P=0.024), globus

433 pallidus (unstandardized B=-0.65; P=0.044), and amygdala (unstandardized B=-0.60; P=0.047).

434 The ICB+ group expressed significant positive BPND correlations (df=13) between the midbrain

435 BPND and caudate (r=0.706, P=0.003), putamen (r=0.589, P=0.021), globus pallidus (r=0.668,

436 P=0.007), and amygdala (r=0.709, P=0.003) BPNDs. There were no significant correlations

437 (df=14) between BPNDs in in these regions and the midbrain for the ICB- group (caudate:

438 r=0.001, P=0.99; putamen: r=-0.126, P=0.643; globus pallidus: r=0.262, P=0.328; amygdala:

439 r=0.243, P=0.364). Figure 3 presents scatterplots of midbrain BPND vs. BPND in the regions

440 where a significant interaction term was observed for the ICB+ and ICB- groups. Scatterplots in

441 ROIs where no significant difference was observed are presented in Figure 3-1 of the Extended

442 Data section.

443 444 —INSERT FIGURE 3 HERE— 445 446 447 448 449 450 451 452 453 454 455 456

19

457 Discussion 458 459 Since the clinical phenotype of compulsive participation in reward-based behaviors is causally

460 linked to DAgonist use, investigating how D2/3 receptors relate to behavioral symptoms could

461 prove useful to the broader study of dopamine and compulsive behaviors. Our main finding

462 replicates and extends previous work in the neurobiology of addiction, where PD patients with

463 ICB have reduced D2/3 BPND, localizing to the ventral striatum and putamen. In these patients,

464 we observe a significant positive relationship between midbrain D2/3 BPND levels and the severity

465 of reward-seeking behavior (QUIP-RS), and positive correlations between D2/3 receptor levels in

466 the midbrain, striatum, and amygdala. These results indicate that D2/3 receptor status in PD

467 patients may play a key role in the manifestation of DAgonist-induced ICBs. The precise

468 mechanism of this influence may include premorbid, PD-related, or treatment-related changes to

469 D2/3 receptor number and function, ultimately influencing how a patient can regulate reward-

470 based behavior.

471

472 Ventral striatal dopamine and ICB status

473 The ventral striatum is a crucial structure to reinforcement learning in the initial stages of

474 addiction (O'Doherty et al., 2004; Everitt and Robbins, 2005). Ventral striatal dopamine

475 transmission mediates the maintenance of both the psychostimulant and reinforcement effects of

476 drugs of abuse (Pettit et al., 1984; Caine and Koob, 1994) and a number of previous studies

477 demonstrate reduced D2/3 levels in human psychostimulant, alcohol, and opiate addiction

478 (Trifilieff and Martinez, 2014). However, this association has not been universally observed

479 across the spectrum of maladaptive reward-seeking behavior, where reductions are notably

480 absent in primary gambling addiction (Nutt et al., 2015). Our findings are consistent with

20

481 previous reports of decreased baseline ventral striatal D2/3 BPND in PD patients with ICB, as

482 reported with [11C]raclopride (Steeves et al., 2009) and [11C]-(+)-PHNO (Payer et al., 2015).

483 Although these radioligands have differing affinities for D2 and D3 receptors, lower D2/3

484 receptors in the ventral striatum are clearly associated with PD patients who develop behavioral

485 changes over the course of treatment (Narendran et al., 2006; Tziortzi et al., 2011).

486

487 Within the ventral striatum, D2/3 receptors localize to both pre-synaptic mesolimbic terminal

488 autoreceptors and post-synaptic indirect-pathway medium spiny neurons (Anzalone et al., 2012;

489 Kenny et al., 2013). The decreased ventral striatal D2/3 receptor levels observed in substance

490 abuse, extreme obesity, and impulsive disorders have been associated with decreased function of

491 the indirect pathway, which mediates behavioral flexibility and avoidance learning in response to

492 novel stimuli (Kenny et al., 2013; Nakanishi et al., 2014). In contrast, the direct pathway is

493 characterized by the expression of dopamine D1 receptors, which are involved in reward

494 motivation (Kenny et al., 2013; Nakanishi et al., 2014). Notably, PET studies of D1 receptor

495 expression in PD have reported no differences in the striatum (Cropley et al., 2008) emphasizing

496 dissimilar direct pathway effects, Therefore, the findings of decreased ventral striatal D2/3

497 receptor levels (Steeves et al., 2009; Payer et al., 2015), unaltered striatal D1 receptor levels

498 (Cropley et al., 2008), and increased ventral striatal extracellular dopamine (Steeves et al., 2009)

499 suggest that when an imbalance between the direct and indirect pathways in the ventral striatum

500 is coupled with increased DA release in response to rewarding stimuli, increased reward

501 motivation in the setting of decreased avoidance learning could lead to the manifestation of ICBs

502 in PD.

503

21

504 A key unanswered question is whether the lower ventral striatal D2/3 binding precedes, or

505 emerges after, dopamine-related treatment. Preclinical models of addiction support the former

506 hypothesis, where decreased ventral striatal D2/3 receptor expression in animals is associated with

507 greater trait impulsivity (as indexed by the ability to withhold premature motor responses) as

508 well as drug-taking behavior in rodents and nonhuman primates (Nader et al., 2006; Dalley et al.,

509 2007). By contrast, overexpression of ventral striatal D2 increases motivation for long-term

510 effortful outcomes over short-term reward (Trifilieff et al., 2013), as well as reducing drug intake

511 (Thanos et al., 2008). However, divergent patterns of PD neurodegeneration or cellular responses

512 to medication could also effect the manifestation of group differences, through PD-related

513 dopaminergic denervation of nigrostriatal projections (Rinne et al., 1990) or mechanisms of

514 agonist-induced receptor internalization, respectively (Itokawa et al., 1996). In particular, animal

515 studies suggest that DAgonist administration can selectively decrease dopamine D2/3 receptor

516 levels in the nucleus accumbens/ventral striatum (Engber et al., 1993).

517

518 The dorsal striatum and habitual behavior

519 Previous studies in PD have not observed altered dorsal striatal D2/3 BPND in relation to ICB

520 status. Whereas the ventral striatum is associated with anticipation of future rewards and reward-

521 related drug reinforcement, the dorsal striatum maintains compulsive habitual responding to

522 reward-based behaviors (O'Doherty et al., 2004; Everitt and Robbins, 2005). Indeed, dorsal

523 striatal dopamine release is necessary to maintain habit-based learning in addiction paradigms

524 (Yin et al., 2004; Vanderschuren et al., 2005), where reductions in dorsal D2/3 receptor BPND

525 occur after an action becomes habitual (Nader et al., 2006; Dalley et al., 2007). Dorsal striatal

526 reductions in D2/3 receptors are observed in patients with long-term cocaine, methamphetamine,

22

527 alcohol, nicotine, and opiate abuse (Trifilieff and Martinez, 2014). In this manner, an impulsive

528 behavior becomes compulsive, as dopaminergic abnormalities that initially occur in the ventral

529 striatum, extend dorsally via the feed-forward striato-nigro-striatal loop (Haber and Knutson,

530 2010). At the receptor level, low ventral striatal D2/3 receptors (associated with reward-related

531 impulsivity) cause signaling changes that over time evolve into dorsal D2/3 reductions (linked to

532 compulsive reward driven behavior). Taken together, we interpret reduced [18F]fallypride

533 binding in both ventral and dorsal striatum of ICB patients as a neurobiological manifestation of

534 both impulsive, and compulsive behaviors, paralleling previous findings in substance abuse

535 disorders.

536

537 The midbrain and impulsive-compulsive behavioral symptoms

538 Although differences in mean ventral midbrain D2/3 BPND in ICB have not been reported by the

539 current or a previous study (Ray et al., 2012) a positive relationship was observed in the current

18 540 study between midbrain [ F]fallypride BPND and the severity of reward seeking behaviors

541 (QUIP-RS), in ICB+ but not ICB- patients. This parallels a past [11C]-(+)-PHNO PET study that

542 described a similar relationship between pathological gambling severity and midbrain binding

543 (Boileau et al., 2013). In healthy humans, impulsivity has been positively correlated with

544 anteroventral striatal dopamine release and negatively correlated with ventral midbrain D2/3

545 (Buckholtz et al., 2010). Similarly, PD patients with DAgonist-induced pathological gambling

546 demonstrated increased ventral striatal dopamine release during performance on a gambling task

547 relative to those without this side-effect (Steeves et al., 2009); in addition, increased ventral

548 striatal dopamine release has also been reported following presentation of reward-related visual

549 cues associated with individual ICBs in ICB+ patients (O'Sullivan et al., 2011; Wu et al., 2015).

23

550 Combined, these studies suggest that state impulsivity in younger healthy subjects and ICBs in

551 PD bear a common association with increased ventral striatal dopamine release.

552

553 Given that ventral midbrain D2/3 receptors function as inhibitory autoreceptors at both axonal and

554 somatodendritic areas, and the negative correlation between midbrain D2/3 BPND and state

555 impulsivity seen in healthy subjects (Mercuri et al., 1992; Khan et al., 1998; Buckholtz et al.,

556 2010), the positive correlation between ventral midbrain D2/3 BPND and QUIP-RS scores would

557 therefore appear to be unexpected. However, the total level of ventral midbrain D2/3 receptors

558 includes those expressed on axons innervating the dorsal as well as the ventral striatum, in

559 addition to other brain structures. While post-mortem studies of early to middle stage PD have

560 shown that dopaminergic projections to the motor striatum are more severely affected by

561 denervation (Gibb and Lees, 1991), the fraction of D2/3 receptors expressed on neurons projecting

562 to the ventral striatum likely still represents a small minority of the total ventral midbrain D2/3

563 content. The lack of difference in total level of ventral midbrain D2/3 receptors may therefore not

564 be informative as to the status of neurons projecting to the ventral striatum. If the number of D2/3

565 receptors on individual dopamine neurons projecting to the ventral striatum remains relatively

566 constant between ICB+ and ICB- subjects, then the positive correlation seen in this study may

567 reflect a relatively more intact dopaminergic innervation of the ventral striatum consistent with

568 the increased ventral striatal dopamine release seen in previous studies.

569

570 One prior study of DAgonist-induced pathological gambling has also observed distinctions in the

571 ventral midbrain, where performance of a gambling task produced greater apparent dopamine

572 release in ICB- compared to ICB+ subjects (Ray et al., 2012). The authors concluded that this

24

573 apparent decreased DA release reflected altered D2/3 autoreceptor function leading to the

574 previously reported increase in ventral striatal dopamine release. However, this PET [11C]FLB-

575 457 study was performed following pramipexole administration, which has been shown to

576 produce significant changes in ventral midbrain dopamine D2/3 BPND that were not present in the

577 ventral striatum (Ray et al., 2012; Deutschlander et al., 2016). Combined with the finding that

578 dopamine release within the midbrain is crucial in producing therapeutic psychostimulant effects

579 in related psychiatric phenotypes, such as attention deficit/hyperactivity disorder (del Campo et

580 al., 2013) it is likely that individual differences in both midbrain D2/3 survival and drug

581 sensitivity are involved in the manifestation of ICB. As a result, the interaction between

582 pramipexole binding and changes in autoreceptor function requires further study. The positive

583 correlation of midbrain D2/3 receptor levels with dopamine agonist induced altered reward

584 behaviors in PD seen in the current study suggests the possibility that ICB+ PD subjects may

585 have relatively greater preservation of ventral striatal dopaminergic innervation than ICB-

586 subjects.

587

588 Relationships between dopamine receptors in the midbrain and other reward related-regions

589 Correlations between midbrain D2/3 BPND and the caudate, putamen, globus pallidus, and

18 590 amygdala significantly differ between groups. Using [ F]fallypride, significant positive BPND

591 correlations between midbrain, striatum, and amygdala (Zald et al., 2010) are evident in healthy

592 humans. A positive correlation across multiple regions may reflect similar types of D2/3 receptors

593 (e.g. autoreceptors), concerted influence of nigrostriatal and mesolimbic dopamine release or

594 DAgonist effects on D2/3 expression (Itokawa et al., 1996; Haber and Knutson, 2010), or the

595 relative integrity of midbrain-based dopaminergic networks. While the comparison of inter-

25

596 regional correlations is cautiously interpreted given the older age of our subjects (Zald et al.

597 (2010), ICB+ patients appear more similar to healthy controls. The ventral midbrain is known to

598 contain several heterogeneous subpopulations, with unique patterns of anatomical projection,

599 pharmacological and cellular properties, and relevance to behavior (Lammel et al., 2008; Haber

600 and Knutson, 2010). Furthermore, past evidence using pre-synaptic biomarkers such as FDOPA

601 indicates that dopaminergic projections undergo differential rates of PD-related degeneration,

602 where the loss of dorsal striatal innervation is known to precede the same process in the ventral

603 striatum (Gibb and Lees, 1991; Kumakura et al., 2010). Consequently, denervation that uniquely

604 spares cells that regulate dopamine release to the dorsal striatum, globus pallidus, or amygdala

605 could also be involved in producing ICBs. This result could also be affected by similar

606 expression, but altered dynamic function of D2/3 in ICB+ patients. Chronic DAgonist

607 administration can induce midbrain D2 autoreceptor desensitization in rodents (Chernoloz et al.,

608 2009), and differences in this response, or PD-related changes to receptor functionality could

609 also play a role. Regardless of the mechanism, ICB appears to be associated with greater

610 functional preservation of midbrain dopaminergic terminal fields in ICB+ compared to ICB-

611 subjects. Increased integrity of midbrain dopamine neuron subpopulations and the extended

612 reward network, in combination with decreased ventral striatal and putamen dopamine D2/3

613 receptor levels, may result in a DAgonist ‘overdose’ of the reward circuit that drives the

614 development of compulsive reward-driven behaviors with impaired inhibitory behavioral control.

615

616 Limitations and future directions

617 Interpretation of the present work relies on the assumption that BPND differences are

618 manifestations of ICB-related distinctions in D2/3 receptor expression. Changes in apparent

26

18 619 [ F]fallypride BPNDs can also be produced by differences in extracellular dopamine levels,

18 620 which compete with [ F]fallypride in binding to D2/3 receptors. However, previous studies

621 examining the relationship between shifts in striatal extracellular dopamine levels and changes in

622 [11C]raclopride binding have indicated a 44:1 ratio, where a 44% increase in extracellular

623 dopamine produces a 1% decrease in BPND (Breier et al., 1997). In the current study, ICB+

624 patients have ventral striatal D2/3 receptor levels 17.1% lower than those seen in ICB- patients,

18 625 adjusted for covariates; such a difference in [ F]fallypride BPND would require an approximately

626 750% higher extracellular dopamine level. Therefore, it is unlikely that the entire difference in

18 627 ventral striatal [ F]fallypride BPND is due to increased extracellular dopamine levels. While

628 some studies have expressed differences in stimuli-induced acute dopamine release in ICB+

629 subjects (Steeves et al., 2009; Ray et al., 2012), no reports have described synaptic dopamine

630 concentrations at rest. Therefore, the topics of ICB-related dopamine release and reward-circuit

631 preservation demand further exploration by other experimental modalities, such as

632 [18F]fallypride with concurrent pharmacological challenge. Animal models are needed to test

633 mechanistic hypotheses relating to medication use and altered ventral striatal D2/3 receptor levels.

634 In addition, while the cohort included in the present study was composed mostly of ICB+

635 subjects defined by hypersexuality and compulsive eating, some previous studies have

636 exclusively examined pathological gamblers (Steeves et al., 2009; Ray et al., 2012); while

637 similarities are apparent between the two samples (including reduced ventral striatal BPND, as

638 well as a relationship between midbrain BPND and impulsivity) differences are also present (such

639 as the lack of cortical findings in the present work). Overall, these findings emphasize a distinct

640 association between medication-induced reward-driven-behaviors and altered expression of D2/3

641 receptors in key striatal and midbrain components of reward networks in PD patients. Further

27

642 validation of this relationship could eventually lead to the use of [18F]fallypride as a screening

643 measure for personalization of treatment regimens, and a better understanding of which

644 individuals respond best to the long-term prescription of DAgonist medication.

645

646 Acknowledgements

647

648 We would like to thank the patients for taking part in this study. We would also like to

649 acknowledge Kristen Kanoff, BA; Charis Spears, BA; and Carlos Faraco, PhD for their roles in

650 data collection.

651

652 Funding and disclosure 653

654 This was supported by the National Institutes of Health/National Institute of Neurological

655 Disorders and Stroke (R01NS097783, K23NS080988); the American Heart Association

656 (14GRNT20150004); and CTSA award No. UL1TR000445 from the National Center for

657 Advancing Translational Science. The authors declare no conflict of interest.

658

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869 870

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871 Figure Legends

872

873 —INSERT TABLE 1 HERE— 874 875 Table 1. Demographic and clinical evaluation from the two participant groups. 876 877 PD ICB+: Parkinson’s Disease- with symptoms consistent with Impulsive Compulsive Behavior 878 PD ICB-: Parkinson’s Disease- without Impulsive Compulsive Behaviors 879 MoCA: Montreal Cognitive Assessment 880 AMNART: American version of the National Adult Reading Test 881 CES-D: Center for Epidemiologic Studies Depression Scale 882 MDS-UPDRS: Movement Disorders Society-United Parkinsons Disease Rating Scale 883 QUIP-RS: Questionnaire for impulsive Compulsive Disorders in Parkinson’s disease Rating Scale 884 LEDD: Levodopa Daily Dose 885 (Also see Table 1-1, Table 1-2, Table 1-3 of the Extended Data) 886 887 888 —INSERT FIGURE 1 HERE— 889 890 Figure 1. Mean regional [18F]fallypride binding potential analysis. (A, C) Representative 891 coronal and axial slices for a single subject show an example of the manual segmentation routine 892 for two different structures, including (A) ventral striatum and (C) putamen. (B, D) Bar graphs of 18 893 the mean [ F]fallypride BPND in each corresponding region, with error bars representing the 894 standard deviation of the mean, and scatterplots representing individual regional means. There 895 were significant differences in mean regional BPND between the ICB+ and ICB- group in the 896 ventral striatum (A-B) and putamen (C-D). Visualization of the segmentation protocol for all 897 regions is displayed in Figure 1-1 of the Extended Data, alongside a full description of ROI 898 volumes and within-ROI BPND values (Figure 1-2 and Figure 1-3 of the Extended Data, 899 respectively). 900 901 —INSERT FIGURE 2 HERE— 902 903 Figure 2. Midbrain [18F]fallypride binding potential vs. QUIP-RS. (A) Scatterplot of [18F]- 904 fallypride BPND in the substantia nigra (x-axis) vs. scores on the QUIP-RS (y-axis) fit with a 905 linear regression. A significant correlation between midbrain BPND and QUIP-RS score was 906 observed for the ICB+ group (r=0.633, P=0.011), but not the ICB- group (r=-0.129, P=0.634). 907 No significant correlation was observed between BPND and QUIP-RS in any other region. (B) 908 Representative axial slice for a single subject show an example of the manual segmentation 909 routine for the midbrain. A full listing of correlation coefficients and P-values for all analyzed 910 ROIs is provided in Figure 2-1 of the Extended Data.

39

911 912

913 —INSERT FIGURE 3 HERE— 914 915 Figure 3. Midbrain [18F]fallypride binding potential vs. [18F]fallypride binding potential in 916 other regions. (A-G) Scatterplots of midbrain BPND (x-axis) vs. BPND in regions where a 917 significant group*BPND interaction was observed (y-axis) fit with a linear regression for the 918 ICB+ and ICB- groups. This effect appeared in the (A-B) caudate (ICB+: r=0.706, P=0.003; 919 ICB-: r=0.001 P=0.99), (C-D) putamen (ICB+: r=0.589, P=0.021; ICB-: r=-0.126 P=0.643), (E- 920 F) globus pallidus (ICB+: r=0.668, P=0.007; ICB-: r=0.262 P=0.328), and (G-H) amygdala 921 (ICB+: r=0.709, P=0.003; ICB-: r=0.243 P=0.364), indicating a divergent BPND relationship 922 between the structures. Figure 3-1 of the Extended Data includes a visualization of scatterplot 923 results, in addition to a listing of correlation coefficients and P-values for ROIs that were not 924 associated with a significant group* BPND interaction term. 925 926

927

928

929

930

931

932

933

934

935

936

937

938

40

939

940 Extended Data Legends

941

942 —INSERT TABLE 1-1 HERE— 943 944 Table 1-1. PET acquisition time parameters. 945 946 —INSERT TABLE 1-2 HERE— 947 948 Table 1-2. PET acquisition time parameters. Acquisition parameters related to DY period start 949 times and break lengths for both groups. 950 951 —INSERT TABLE 1-3 HERE— 952 953 Table 1-3. Dopamine agonist medication distribution. The number of individuals prescribed 954 pramipexole, ropinirole, or rotigotine is listed for each group. No other dopamine agonist 955 medications were represented, and no individual was prescribed multiple medications 956 concurrently. No significant differences were found in the distribution of dopamine agonist 957 medications prescribed to the ICB+ and ICB- groups, indicating that treatment differences are 958 unlikely to be a confounding factor. 959 960 —INSERT FIGURE 1-1 HERE— 961 962 Figure 1-1. Manual segmentation protocol for [18F]fallypride binding potential analysis. (A- 963 G) Representative coronal and axial slices for a single subject show an example of the manual 964 segmentation routine for four different structures, including (A) caudate, (B) amygdala, (C) 965 putamen, (D) thalamus, (E) ventral striatum, (F) midbrain, and (G) globus pallidus. 966 967 968 —INSERT FIGURE 1-2 HERE— 969 970 Figure 1-2. Mean ROI volumes. Mean volumes are listed alongside standard deviations, in 971 mm3. No significant differences were found in structure size between the ICB+ and ICB- groups, 972 indicating that structural volume is unlikely to be a confounding factor. 973 974 975 976

41

977 978 979 —INSERT FIGURE 1-3 HERE— 980 981 Figure 1-3. Mean ROI BPND. Age and UPDRS-II corrected BPND is listed for each group 982 alongside standard error of the mean. Significant differences were found in between the ICB+ 983 and ICB- groups in the ventral striatum and putamen. 984 985 986 —INSERT FIGURE 2-1 HERE— 987 988 Figure 2-1. QUIP-RS and BPND correlation coefficients. The results of partial Pearson's 989 correlation tests, corrected for age and UPDRS-II. For each ROI, the correlation coefficient and 990 significance value is listed, separating between the ICB+ and ICB- groups. A significant 991 correlation between QUIP-RS and midbrain BPND was found exclusively in the ICB+ group. 992 993 994 —INSERT FIGURE 3-1 HERE— 995 996 Figure 3-1. Midbrain [18F]fallypride binding potential vs. [18F]fallypride binding potential 997 in other regions. (A-G) Scatterplots of midbrain BPND (x-axis) vs. BPND in regions where no 998 significant group*BPND interaction was observed (y-axis) fit with a linear regression for the 999 ICB+ and ICB- groups. No interaction effect was observed in the (A-B) ventral striatum (ICB+: 1000 r=0.499, P=0.058; ICB-: r=0.593 P=0.016) or (C-D) thalamus (ICB+: r=0.395, P=0.145; ICB-: 1001 r=0.380 P=0.146), indicating the lack of a divergent BPND relationship between the structures. 1002

42

Table 1. Demographic and clinical evaluation from the two participant groups Variables PD ICB- PD ICB+ P-value N 18 17 Sex (M/F) 13/5 11/6 0.72 Age (years) 62.7±10.1 60.9±6.6 0.17 Disease Duration (years) 6.1±4.5 5.7±3.2 0.99 CES-D 15.1±7.2 16.3±10.3 0.89 MDS-UPDRS Part II 23.2±7.7 20.3±7.7 0.19 QUIP-RS Total 18.1±11.9 36.5±10.1 <0.0001* ICB Symptom Distribution (based on semi- structured behavioral interview) Hobbyism n/a 12/17 Eating n/a 11/17 Sex n/a 11/17 Shopping n/a 4/17 Gambling n/a 0/17 Laterality Score (-=Left worse, +=Right worse) -3.1±9.6 -1.8±12.0 0.74 Dopamine Replacement Therapy Total LEDD (mg/day) 693.9±406.3 673.8±440.0 0.69 Agonist Single Dose Equivalent (mg/day) 135.4±76.4 103.9±65.1 0.19 Data are shown as mean ± standard deviation *indicates uncorrected P<0.05

No significant group difference observed in the type of DAgonist prescribed (Table 1-3; Extended Data section) or the fraction of LEDD accounted for by DAgonist as opposed to levodopa (P=0.99, Table 1-1; Extended Data). PET acquisition parameters were similar (Table 1-2; Extended Data).

PD ICB+: Parkinson’s Disease- with symptoms consistent with Impulsive Compulsive Behavior PD ICB-: Parkinson’s Disease- without Impulsive Compulsive Behaviors MoCA: Montreal Cognitive Assessment AMNART: American version of the National Adult Reading Test CES-D: Center for Epidemiologic Studies Depression Scale MDS-UPDRS: Movement Disorders Society-United Parkinsons Disease Rating Scale QUIP-RS: Questionnaire for impulsive Compulsive Disorders in Parkinson’s disease Rating Scale LEDD: Levodopa Daily Dose

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