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Lower synaptic density in mood circuitry underlies depression in Parkinson's disease.

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  1. [1] § Statistical analyses ↔ analysis_code.sas, lines 1–31 · score 0.56 · MoCA, Fisher, Wilcoxon, MADRS, UPDRS, correlation

Paper

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The authors' code

SAS · 222 lines · 12 KB · no license · 1 match

  1. data one;set libname.dataset;
  2. *demographics and clinical features;
  3. proc means n mean std maxdec=1 nonobs clm;var age;class group;
  4. run;
  5. proc mixed;class group;model age=group;lsmeans group/adjust=bonferroni;
  6. run;
  7. proc freq;tables sex*group/fisher;
  8. proc means n mean std maxdec=1 nonobs clm;var age UPDRS3 UPDRStot Duration madrs moca;class group;where group ne 0;
  9. run;
  10. proc npar1way wilcoxon;var UPDRS3 UPDRStot Duration madrs moca;class group;where group ne 0;
  11. run;
  13. *correlations;
  14. proc corr pearson spearman;var r1-r7 MADRS MoCA UPDRS1 UPDRS2 UPDRS3 UPDRS4 UPDRStot Duration;partial male age;where group ne 0;
  15. proc sort;by group;
  16. proc corr pearson spearman;var r1-r7 MADRS MoCA UPDRS1 UPDRS2 UPDRS3 UPDRS4 UPDRStot Duration;partial male age;where group ne 0;
  17. by group;
  18. run;
  20. data two;set one;
  21. Region=1;y=r1;output;
  22. Region=2;y=r2;output;
  23. Region=3;y=r3;output;
  24. Region=4;y=r4;output;
  25. Region=5;y=r5;output;
  26. Region=6;y=r6;output;
  27. Region=7;y=r7;output;
  29. data primary;set two;
  30. *primary regions;
  31. if region in (1,2,3,4);
  33. proc mixed;class id region group sex;
  34. model y=region|group sex age;
  35. repeated region/sub=id type=un;
  36. lsmeans group group*region/cl;lsmeans group*region/slice=group;lsmeans group*region/slice=region;
  37. estimate 'HC vs PD averaged over region' group 1 -1 0/cl;
  38. estimate 'HC vs PDd averaged over region' group 1 0 -1/cl;
  39. estimate 'PD vs PDd averaged over region' group 0 1 -1/cl;
  40. estimate 'HC vs PD in Amygdala' group 1 -1 0 region*group 1 -1 0 0 0 0 0 0 0 0 0 0/cl;
  41. estimate 'HC vs PD in DLPFC' group 1 -1 0 region*group 0 0 0 1 -1 0 0 0 0 0 0 0/cl;
  42. estimate 'HC vs PD in CingulumAnt' group 1 -1 0 region*group 0 0 0 0 0 0 1 -1 0 0 0 0/cl;
  43. estimate 'HC vs PD in Hippocampus' group 1 -1 0 region*group 0 0 0 0 0 0 0 0 0 1 -1 0/cl;
  44. estimate 'HC vs PDd in Amygdala' group 1 0 -1 region*group 1 0 -1 0 0 0 0 0 0 0 0 0/cl;
  45. estimate 'HC vs PDd in DLPFC' group 1 0 -1 region*group 0 0 0 1 0 -1 0 0 0 0 0 0/cl;
  46. estimate 'HC vs PDd in CingulumAnt' group 1 0 -1 region*group 0 0 0 0 0 0 1 0 -1 0 0 0/cl;
  47. estimate 'HC vs PDd in Hippocampus' group 1 0 -1 region*group 0 0 0 0 0 0 0 0 0 1 0 -1/cl;
  48. estimate 'PD vs PDd in Amygdala' group 0 1 -1 region*group 0 1 -1 0 0 0 0 0 0 0 0 0/cl;
  49. estimate 'PD vs PDd in DLPFC' group 0 1 -1 region*group 0 0 0 0 1 -1 0 0 0 0 0 0/cl;
  50. estimate 'PD vs PDd in CingulumAnt' group 0 1 -1 region*group 0 0 0 0 0 0 0 1 -1 0 0 0/cl;
  51. estimate 'PD vs PDd in Hippocampus' group 0 1 -1 region*group 0 0 0 0 0 0 0 0 0 0 1 -1/cl;
  52. run;
  53. proc mixed;class id region group sex;
  54. model y=region|group sex age;
  55. repeated region/sub=id type=cs;
  56. lsmeans group group*region/cl;lsmeans group*region/slice=group;lsmeans group*region/slice=region;
  57. estimate 'HC vs PD averaged over region' group 1 -1 0/cl;
  58. estimate 'HC vs PDd averaged over region' group 1 0 -1/cl;
  59. estimate 'PD vs PDd averaged over region' group 0 1 -1/cl;
  60. estimate 'HC vs PD in Amygdala' group 1 -1 0 region*group 1 -1 0 0 0 0 0 0 0 0 0 0/cl;
  61. estimate 'HC vs PD in DLPFC' group 1 -1 0 region*group 0 0 0 1 -1 0 0 0 0 0 0 0/cl;
  62. estimate 'HC vs PD in CingulumAnt' group 1 -1 0 region*group 0 0 0 0 0 0 1 -1 0 0 0 0/cl;
  63. estimate 'HC vs PD in Hippocampus' group 1 -1 0 region*group 0 0 0 0 0 0 0 0 0 1 -1 0/cl;
  64. estimate 'HC vs PDd in Amygdala' group 1 0 -1 region*group 1 0 -1 0 0 0 0 0 0 0 0 0/cl;
  65. estimate 'HC vs PDd in DLPFC' group 1 0 -1 region*group 0 0 0 1 0 -1 0 0 0 0 0 0/cl;
  66. estimate 'HC vs PDd in CingulumAnt' group 1 0 -1 region*group 0 0 0 0 0 0 1 0 -1 0 0 0/cl;
  67. estimate 'HC vs PDd in Hippocampus' group 1 0 -1 region*group 0 0 0 0 0 0 0 0 0 1 0 -1/cl;
  68. estimate 'PD vs PDd in Amygdala' group 0 1 -1 region*group 0 1 -1 0 0 0 0 0 0 0 0 0/cl;
  69. estimate 'PD vs PDd in DLPFC' group 0 1 -1 region*group 0 0 0 0 1 -1 0 0 0 0 0 0/cl;
  70. estimate 'PD vs PDd in CingulumAnt' group 0 1 -1 region*group 0 0 0 0 0 0 0 1 -1 0 0 0/cl;
  71. estimate 'PD vs PDd in Hippocampus' group 0 1 -1 region*group 0 0 0 0 0 0 0 0 0 0 1 -1/cl;
  72. run;
  73. proc mixed;class id region group sex;
  74. model y=region|group sex age;
  75. repeated region/sub=id type=csh;
  76. lsmeans group group*region/cl;lsmeans group*region/slice=group;lsmeans group*region/slice=region;
  77. estimate 'HC vs PD averaged over region' group 1 -1 0/cl;
  78. estimate 'HC vs PDd averaged over region' group 1 0 -1/cl;
  79. estimate 'PD vs PDd averaged over region' group 0 1 -1/cl;
  80. estimate 'HC vs PD in Amygdala' group 1 -1 0 region*group 1 -1 0 0 0 0 0 0 0 0 0 0/cl;
  81. estimate 'HC vs PD in DLPFC' group 1 -1 0 region*group 0 0 0 1 -1 0 0 0 0 0 0 0/cl;
  82. estimate 'HC vs PD in CingulumAnt' group 1 -1 0 region*group 0 0 0 0 0 0 1 -1 0 0 0 0/cl;
  83. estimate 'HC vs PD in Hippocampus' group 1 -1 0 region*group 0 0 0 0 0 0 0 0 0 1 -1 0/cl;
  84. estimate 'HC vs PDd in Amygdala' group 1 0 -1 region*group 1 0 -1 0 0 0 0 0 0 0 0 0/cl;
  85. estimate 'HC vs PDd in DLPFC' group 1 0 -1 region*group 0 0 0 1 0 -1 0 0 0 0 0 0/cl;
  86. estimate 'HC vs PDd in CingulumAnt' group 1 0 -1 region*group 0 0 0 0 0 0 1 0 -1 0 0 0/cl;
  87. estimate 'HC vs PDd in Hippocampus' group 1 0 -1 region*group 0 0 0 0 0 0 0 0 0 1 0 -1/cl;
  88. estimate 'PD vs PDd in Amygdala' group 0 1 -1 region*group 0 1 -1 0 0 0 0 0 0 0 0 0/cl;
  89. estimate 'PD vs PDd in DLPFC' group 0 1 -1 region*group 0 0 0 0 1 -1 0 0 0 0 0 0/cl;
  90. estimate 'PD vs PDd in CingulumAnt' group 0 1 -1 region*group 0 0 0 0 0 0 0 1 -1 0 0 0/cl;
  91. estimate 'PD vs PDd in Hippocampus' group 0 1 -1 region*group 0 0 0 0 0 0 0 0 0 0 1 -1/cl;
  92. run;
  94. data primaryPDonly;set two;
  95. *primary regions;
  96. if region in (1,2,3,4);
  97. *among PD only including duration;
  98. if group ne 0;
  100. proc mixed;class id region group sex;
  101. model y=region|group sex age duration;
  102. repeated region/sub=id type=un;
  103. lsmeans group group*region/cl;
  104. estimate 'PD vs PDd averaged over region' group 1 -1/cl;
  105. estimate 'PD vs PDd in Amygdala' group 1 -1 region*group 1 -1 0 0 0 0 0 0/cl;
  106. estimate 'PD vs PDd in DLPFC' group 1 -1 region*group 0 0 1 -1 0 0 0 0/cl;
  107. estimate 'PD vs PDd in CingulumAnt' group 1 -1 region*group 0 0 0 0 1 -1 0 0/cl;
  108. estimate 'PD vs PDd in Hippocampus' group 1 -1 region*group 0 0 0 0 0 0 1 -1/cl;
  109. run;
  110. proc mixed;class id region group sex;
  111. model y=region|group sex age duration;
  112. repeated region/sub=id type=cs;
  113. lsmeans group group*region/cl;
  114. estimate 'PD vs PDd averaged over region' group 1 -1/cl;
  115. estimate 'PD vs PDd in Amygdala' group 1 -1 region*group 1 -1 0 0 0 0 0 0/cl;
  116. estimate 'PD vs PDd in DLPFC' group 1 -1 region*group 0 0 1 -1 0 0 0 0/cl;
  117. estimate 'PD vs PDd in CingulumAnt' group 1 -1 region*group 0 0 0 0 1 -1 0 0/cl;
  118. estimate 'PD vs PDd in Hippocampus' group 1 -1 region*group 0 0 0 0 0 0 1 -1/cl;
  119. run;
  120. proc mixed;class id region group sex;
  121. model y=region|group sex age duration;
  122. repeated region/sub=id type=csh;
  123. lsmeans group group*region/cl;
  124. estimate 'PD vs PDd averaged over region' group 1 -1/cl;
  125. estimate 'PD vs PDd in Amygdala' group 1 -1 region*group 1 -1 0 0 0 0 0 0/cl;
  126. estimate 'PD vs PDd in DLPFC' group 1 -1 region*group 0 0 1 -1 0 0 0 0/cl;
  127. estimate 'PD vs PDd in CingulumAnt' group 1 -1 region*group 0 0 0 0 1 -1 0 0/cl;
  128. estimate 'PD vs PDd in Hippocampus' group 1 -1 region*group 0 0 0 0 0 0 1 -1/cl;
  129. run;
  133. data secondary;set two;
  134. *secondary regions;
  135. if region in (5,6,7);
  137. proc mixed;class id region group sex;
  138. model y=region|group sex age;
  139. repeated region/sub=id type=un;
  140. lsmeans group group*region/cl;
  141. estimate 'HC vs PD averaged over region' group 1 -1 0/cl;
  142. estimate 'HC vs PDd averaged over region' group 1 0 -1/cl;
  143. estimate 'PD vs PDd averaged over region' group 0 1 -1/cl;
  144. estimate 'HC vs PD in Amygdala' group 1 -1 0 region*group 1 -1 0 0 0 0 0 0 0/cl;
  145. estimate 'HC vs PD in DLPFC' group 1 -1 0 region*group 0 0 0 1 -1 0 0 0 0/cl;
  146. estimate 'HC vs PD in CingulumAnt' group 1 -1 0 region*group 0 0 0 0 0 0 1 -1 0/cl;
  147. estimate 'HC vs PDd in Amygdala' group 1 0 -1 region*group 1 0 -1 0 0 0 0 0 0/cl;
  148. estimate 'HC vs PDd in DLPFC' group 1 0 -1 region*group 0 0 0 1 0 -1 0 0 0/cl;
  149. estimate 'HC vs PDd in CingulumAnt' group 1 0 -1 region*group 0 0 0 0 0 0 1 0 -1/cl;
  150. estimate 'PD vs PDd in Amygdala' group 0 1 -1 region*group 0 1 -1 0 0 0 0 0 0/cl;
  151. estimate 'PD vs PDd in DLPFC' group 0 1 -1 region*group 0 0 0 0 1 -1 0 0 0/cl;
  152. estimate 'PD vs PDd in CingulumAnt' group 0 1 -1 region*group 0 0 0 0 0 0 0 1 -1/cl;
  153. run;
  154. proc mixed;class id region group sex;
  155. model y=region|group sex age;
  156. repeated region/sub=id type=cs;
  157. lsmeans group group*region/cl;
  158. estimate 'HC vs PD averaged over region' group 1 -1 0/cl;
  159. estimate 'HC vs PDd averaged over region' group 1 0 -1/cl;
  160. estimate 'PD vs PDd averaged over region' group 0 1 -1/cl;
  161. estimate 'HC vs PD in Amygdala' group 1 -1 0 region*group 1 -1 0 0 0 0 0 0 0/cl;
  162. estimate 'HC vs PD in DLPFC' group 1 -1 0 region*group 0 0 0 1 -1 0 0 0 0/cl;
  163. estimate 'HC vs PD in CingulumAnt' group 1 -1 0 region*group 0 0 0 0 0 0 1 -1 0/cl;
  164. estimate 'HC vs PDd in Amygdala' group 1 0 -1 region*group 1 0 -1 0 0 0 0 0 0/cl;
  165. estimate 'HC vs PDd in DLPFC' group 1 0 -1 region*group 0 0 0 1 0 -1 0 0 0/cl;
  166. estimate 'HC vs PDd in CingulumAnt' group 1 0 -1 region*group 0 0 0 0 0 0 1 0 -1/cl;
  167. estimate 'PD vs PDd in Amygdala' group 0 1 -1 region*group 0 1 -1 0 0 0 0 0 0/cl;
  168. estimate 'PD vs PDd in DLPFC' group 0 1 -1 region*group 0 0 0 0 1 -1 0 0 0/cl;
  169. estimate 'PD vs PDd in CingulumAnt' group 0 1 -1 region*group 0 0 0 0 0 0 0 1 -1/cl;
  170. run;
  171. proc mixed;class id region group sex;
  172. model y=region|group sex age;
  173. repeated region/sub=id type=csh;
  174. lsmeans group group*region/cl;
  175. estimate 'HC vs PD averaged over region' group 1 -1 0/cl;
  176. estimate 'HC vs PDd averaged over region' group 1 0 -1/cl;
  177. estimate 'PD vs PDd averaged over region' group 0 1 -1/cl;
  178. estimate 'HC vs PD in Amygdala' group 1 -1 0 region*group 1 -1 0 0 0 0 0 0 0/cl;
  179. estimate 'HC vs PD in DLPFC' group 1 -1 0 region*group 0 0 0 1 -1 0 0 0 0/cl;
  180. estimate 'HC vs PD in CingulumAnt' group 1 -1 0 region*group 0 0 0 0 0 0 1 -1 0/cl;
  181. estimate 'HC vs PDd in Amygdala' group 1 0 -1 region*group 1 0 -1 0 0 0 0 0 0/cl;
  182. estimate 'HC vs PDd in DLPFC' group 1 0 -1 region*group 0 0 0 1 0 -1 0 0 0/cl;
  183. estimate 'HC vs PDd in CingulumAnt' group 1 0 -1 region*group 0 0 0 0 0 0 1 0 -1/cl;
  184. estimate 'PD vs PDd in Amygdala' group 0 1 -1 region*group 0 1 -1 0 0 0 0 0 0/cl;
  185. estimate 'PD vs PDd in DLPFC' group 0 1 -1 region*group 0 0 0 0 1 -1 0 0 0/cl;
  186. estimate 'PD vs PDd in CingulumAnt' group 0 1 -1 region*group 0 0 0 0 0 0 0 1 -1/cl;
  187. run;
  189. data secondaryPDonly;set two;
  190. *secondary regions;
  191. if region in (5,6,7);
  192. *among PD only including duration;
  193. if group ne 0;
  195. proc mixed;class id region group sex;
  196. model y=region|group sex age duration;
  197. repeated region/sub=id type=un;
  198. lsmeans group group*region/cl;
  199. estimate 'PD vs PDd averaged over region' group 1 -1/cl;
  200. estimate 'PD vs PDd in Amygdala' group 1 -1 region*group 1 -1 0 0 0 0/cl;
  201. estimate 'PD vs PDd in DLPFC' group 1 -1 region*group 0 0 1 -1 0 0/cl;
  202. estimate 'PD vs PDd in CingulumAnt' group 1 -1 region*group 0 0 0 0 1 -1/cl;
  203. run;
  204. proc mixed;class id region group sex;
  205. model y=region|group sex age duration;
  206. repeated region/sub=id type=cs;
  207. lsmeans group group*region/cl;
  208. estimate 'PD vs PDd averaged over region' group 1 -1/cl;
  209. estimate 'PD vs PDd in Amygdala' group 1 -1 region*group 1 -1 0 0 0 0/cl;
  210. estimate 'PD vs PDd in DLPFC' group 1 -1 region*group 0 0 1 -1 0 0/cl;
  211. estimate 'PD vs PDd in CingulumAnt' group 1 -1 region*group 0 0 0 0 1 -1/cl;
  212. run;
  213. proc mixed;class id region group sex;
  214. model y=region|group sex age duration;
  215. repeated region/sub=id type=csh;
  216. lsmeans group group*region/cl;
  217. estimate 'PD vs PDd averaged over region' group 1 -1/cl;
  218. estimate 'PD vs PDd in Amygdala' group 1 -1 region*group 1 -1 0 0 0 0/cl;
  219. estimate 'PD vs PDd in DLPFC' group 1 -1 region*group 0 0 1 -1 0 0/cl;
  220. estimate 'PD vs PDd in CingulumAnt' group 1 -1 region*group 0 0 0 0 1 -1/cl;
  221. run;

analysis_code.sas at commit 083b528, no license · at the source

Overview

Authors: Salih Cayir1, Mika Naganawa1, Tommaso Volpi1, Faranak Ebrahimian Sadabad1, Mark Dias1, Yanghong Yang2, Sophie Elliott3, Mina Ansari3, Amr Elshahat1, Brian Pittman3, Irina Esterlis1,3,4, Nabeel Nabulsi1, Yiyun Huang1, Gerard Sanacora3, Robert Comley5, Sjoerd J Finnema5, Richard E Carson1, Sule Tinaz6, David Matuskey1,3,6, Sophie E Holmes3,6
ORCID iDs: Mika Naganawa, Amr Elshahat, Gerard Sanacora, Robert Comley, Sophie E Holmes
  1. Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, USA
  2. Department of Neurology, SUNY Downstate Health Science University, Brooklyn, NY 11203, USA
  3. Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, USA
  4. Department of Psychology, Yale School of Medicine, New Haven, CT 06511, USA
  5. Discovery Research Neuroscience, Abbvie, North Chicago, IL 60085, USA
  6. Department of Neurology, Yale School of Medicine, New Haven, CT 06511, USA
Institutions: Yale University (United States); SUNY Downstate Health Sciences University (United States); AbbVie (United States) (United States)
Journal: Brain communications, volume 8, issue 3, article fcag136
Dates: received 21 July 2025; accepted 21 April 2026; published online 22 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1093/braincomms/fcag136 · PMID 42109687 · PMCID PMC13152014 · OpenAlex W7155167045
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: PET / SPECT (modality), human (organism), Parkinson's (population), depression (population), cellular / molecular (subfield)
Methods: Statistics, fMRI & imaging
Keywords: Parkinson’s disease, depression, synaptic density, SV2A, PET
Topic: Parkinson's Disease Mechanisms and Treatments (Neurology, Medicine), according to OpenAlex
Funding: NINDS NIH HHS (R01 NS124819, R01 NS125482)
Citations: cited by 2 papers (Europe PMC); 34 references in the paper

Abstract

Depression in Parkinson’s disease is often reported as being more debilitating than the motor symptoms and has been shown to accelerate disease progression. Identifying its underlying neurobiology is crucial in the discovery of mechanism-informed treatments. We hypothesize that lower synaptic density in mood circuitry drives symptoms of depression in Parkinson’s disease. To test this hypothesis, we used PET imaging and [11C]UCB-J—a radiotracer that binds to synaptic vesicle protein 2A (SV2A) to image synaptic density across patients with Parkinson’s disease and depressive symptoms (PDd; n = 10), Parkinson’s disease patients without depressive symptoms (PDnd; n = 20) and healthy controls (HCs; n = 18). The primary outcome was binding potential (BPND) in mood circuitry. Participants with PDd exhibited significantly lower synaptic density compared to HC and PDnd in the dorsolateral prefrontal cortex (dlPFC) (−22.0%, P < 0.001; −19.9%, P = 0.002), anterior cingulate cortex (ACC) (−27.9%, P < 0.001; −24.0%, P = 0.002), amygdala (−25.1%, P < 0.001; −18.9%, P = 0.006) and hippocampus (−28.1%, P < 0.001; −20.3%, P = 0.003). Synaptic density was significantly and negatively correlated with the severity of depressive symptoms across all participants with Parkinson’s disease (n = 30) in the dlPFC (r = −0.59, P = 0.002), ACC (r = −0.68, P < 0.001), amygdala (r = −0.53, P = 0.004) and hippocampus (r = −0.56, P = 0.003). These findings provide the first in vivo evidence that lower synaptic density in mood-related brain regions may contribute to depression in Parkinson’s disease. If confirmed, they would support the evaluation of interventions that target synaptic loss/induce synaptic plasticity in individuals with Parkinson’s disease and comorbid depression.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.

cayirsalih/Parkinsons-analysis

License: none: the authors keep all their rights
State: the link answers, verified on 29 September 2026
Evidence: files inventoried
Commit: 083b52841e61f59adea942d2a93a8a3f8c8ff635, 30 October 2025
Languages: SAS (1)
Size: 1 file, 1 script
Software Heritage: not archived
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 29 September 2026: the link answers
  • 29 September 2026: the link answers
1 file
At the source: github.com/cayirsalih/Parkinsons-analysis

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 1 script, each with its path and the digest of its content;
  • 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data availability

Data are available from the corresponding author upon request. The codes used in this study are available at https://github.com/cayirsalih/Parkinsons-analysis.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 20 authors, 5 keywords, 1 funder, 33 references.

Cite

This paper

Cayir, S., Naganawa, M., Volpi, T., Ebrahimian Sadabad, F., Dias, M., Yang, Y., Elliott, S., Ansari, M., Elshahat, A., Pittman, B., Esterlis, I., Nabulsi, N., Huang, Y., Sanacora, G., Comley, R., Finnema, S. J., Carson, R. E., Tinaz, S., Matuskey, D., & Holmes, S. E. (2026). Lower synaptic density in mood circuitry underlies depression in Parkinson's disease. Brain communications, 8(3), fcag136. https://doi.org/10.1093/braincomms/fcag136

BibTeX

@article{cayir2026lower,
author = {Cayir, Salih and Naganawa, Mika and Volpi, Tommaso and Ebrahimian Sadabad, Faranak and Dias, Mark and Yang, Yanghong and Elliott, Sophie and Ansari, Mina and Elshahat, Amr and Pittman, Brian and Esterlis, Irina and Nabulsi, Nabeel and Huang, Yiyun and Sanacora, Gerard and Comley, Robert and Finnema, Sjoerd J and Carson, Richard E and Tinaz, Sule and Matuskey, David and Holmes, Sophie E},
title = {{Lower synaptic density in mood circuitry underlies depression in Parkinson's disease}},
journal = {Brain communications},
year = {2026},
month = apr,
volume = {8},
number = {3},
pages = {fcag136},
publisher = {Oxford University Press},
issn = {2632-1297},
doi = {10.1093/braincomms/fcag136},
url = {https://doi.org/10.1093/braincomms/fcag136},
pmid = {42109687},
pmcid = {PMC13152014}
}

RIS

TY - JOUR
AU - Cayir, Salih
AU - Naganawa, Mika
AU - Volpi, Tommaso
AU - Ebrahimian Sadabad, Faranak
AU - Dias, Mark
AU - Yang, Yanghong
AU - Elliott, Sophie
AU - Ansari, Mina
AU - Elshahat, Amr
AU - Pittman, Brian
AU - Esterlis, Irina
AU - Nabulsi, Nabeel
AU - Huang, Yiyun
AU - Sanacora, Gerard
AU - Comley, Robert
AU - Finnema, Sjoerd J
AU - Carson, Richard E
AU - Tinaz, Sule
AU - Matuskey, David
AU - Holmes, Sophie E
TI - Lower synaptic density in mood circuitry underlies depression in Parkinson's disease
T2 - Brain communications
J2 - Brain Commun
PY - 2026
DA - 2026/04/22
VL - 8
IS - 3
SP - fcag136
SN - 2632-1297
PB - Oxford University Press
DO - 10.1093/braincomms/fcag136
UR - https://doi.org/10.1093/braincomms/fcag136
LA - en
ER -

CSL-JSON

{
"id": "10.1093/braincomms/fcag136",
"type": "article-journal",
"title": "Lower synaptic density in mood circuitry underlies depression in Parkinson's disease",
"container-title": "Brain communications",
"author": [
{
"family": "Cayir",
"given": "Salih"
},
{
"family": "Naganawa",
"given": "Mika"
},
{
"family": "Volpi",
"given": "Tommaso"
},
{
"family": "Ebrahimian Sadabad",
"given": "Faranak"
},
{
"family": "Dias",
"given": "Mark"
},
{
"family": "Yang",
"given": "Yanghong"
},
{
"family": "Elliott",
"given": "Sophie"
},
{
"family": "Ansari",
"given": "Mina"
},
{
"family": "Elshahat",
"given": "Amr"
},
{
"family": "Pittman",
"given": "Brian"
},
{
"family": "Esterlis",
"given": "Irina"
},
{
"family": "Nabulsi",
"given": "Nabeel"
},
{
"family": "Huang",
"given": "Yiyun"
},
{
"family": "Sanacora",
"given": "Gerard"
},
{
"family": "Comley",
"given": "Robert"
},
{
"family": "Finnema",
"given": "Sjoerd J"
},
{
"family": "Carson",
"given": "Richard E"
},
{
"family": "Tinaz",
"given": "Sule"
},
{
"family": "Matuskey",
"given": "David"
},
{
"family": "Holmes",
"given": "Sophie E"
}
],
"container-title-short": "Brain Commun",
"volume": "8",
"issue": "3",
"page": "fcag136",
"DOI": "10.1093/braincomms/fcag136",
"PMID": "42109687",
"PMCID": "PMC13152014",
"ISSN": "2632-1297",
"publisher": "Oxford University Press",
"URL": "https://doi.org/10.1093/braincomms/fcag136",
"language": "en",
"issued": {
"date-parts": [
[
2026,
4,
22
]
]
}
}

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