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Record W2035150420 · doi:10.1093/brain/awu200

Reply: Is nucleus accumbens atrophy correlated with cognitive symptoms of Parkinson’s disease?

2014· letter· en· W2035150420 on OpenAlexaff
Oury Monchi, Alexandru Hanganu

Bibliographic record

VenueBrain · 2014
Typeletter
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsNucleus accumbensParkinson's diseaseAtrophyNeuroscienceStriatumDopamineDiseasePsychologyBasal gangliaVentral striatumMedicineInternal medicineCentral nervous system

Abstract

fetched live from OpenAlex

Sir, We thank Dr Mavridis for this very thoughtful comment about nucleus accumbens atrophy in patients with Parkinson’s disease from a neurosurgical point of view. Indeed it had been previously reported that dopamine loss also occurs in the nucleus accumbens of patients with Parkinson’s disease especially at the advanced stages (Farley et al., 1977). Different groups, including our own have shown that patients with Parkinson’s disease are affected differently on functions relying on the ventral versus the dorsal striatum (MacDonald et al., 2011). To the best of our knowledge, Dr Mavridis’ findings were the first to indicate in vivo that Parkinson’s disease is also associated with nucleus accumbens atrophy (Mavridis et al., 2011) and as suggested in the letter, nucleus accumbens might be associated with the neuropsychiatric non-motor symptoms that are present in the disease, like depression and anxiety (Sturm et al., 2003; Paul et al., 2005; Epstein et al., 2006). Our current results would indicate that this is the case at least for cognition (Hanganu et al., 2014). However other cortical and subcortical atrophied regions were associated with cognitive deficits in Parkinson’s disease in our study. Furthermore, it remains to be determined exactly how specific the nucleus accumbens volumetry changes are with respect to cognitive impairment versus other non-motor deficits observed in Parkinson’s disease (such as depression, apathy, anxiety). Indeed, nucleus accumbens function has been associated with depression (Epstein et al., 2006) and deep brain stimulation of the nucleus accumbens has been shown to decrease the non-motor deficits (Sturm et al., 2003; Paul et al., 2005). Additionally, patients with Parkinson’s disease who have mild cognitive impairment, have been shown to have a larger presence of depressive symptoms and anxiety compared with patients with normal cognition (Monastero et al., 2013). Finally, it remains to be investigated whether this nucleus accumbens pathology is specific to Parkinson’s disease. In particular, one study revealed no volume difference between early-onset Alzheimer’s disease and healthy controls, but found a significant reduction in the bilateral nucleus accumbens volumes in patients with late-onset Alzheimer’s disease compared to healthy controls (Pievani et al., 2013). In summary, nucleus accumbens atrophy in Parkinson’s disease might be a marker for cognitive impairment and possibly for other non-motor symptoms in Parkinson’s disease, but further multi-disciplinary studies are warranted to find out how specific it is.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.026
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0260.025
Insufficient payload (model declined to judge)0.0030.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.248
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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