Evidence map›Paper›PMID 40506429›Full record

ArticleNPJ Parkinson's disease2025

Neural basis of dysexecutive and visuospatial impairments in Parkinson's disease with MCI: a task-based fNIRS study.

Hai-Yang Wang, Lu Ren, Zhongrui Yan, Tingting Zhou, Zhanhua Liang

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Visuospatial dysfunction indicates an increased risk of rapid dementia conversion in Parkinson's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hai-Yang WangDepartment of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Lu RenDepartment of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Zhongrui YanDepartment of Neurology, Jining No. 1 People's Hospital, Shandong First Medical University, Jining, China.
Tingting ZhouDepartment of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, China. tingtingzhou1987@163.com.
Zhanhua LiangDepartment of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, China. liangzhanhua@dmu.edu.cn.ORCID http://orcid.org/0000-0001-6483-4758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease with mild cognitive impairment (PD-MCI) includes various cognitive deficits, classified into two subtypes based on the "dual syndrome hypothesis": the executive-dominant dopamine pathway dysfunction impairing executive and language functions (PD-EL subtype), and the visuospatial-dominant non-dopaminergic dysfunction affecting visuospatial perception, attention, and memory (PD-VAM subtype). This study involved 182 participants (122 PD, 60 controls) undergoing cognitive assessments. Using PD-MCI Level II criteria, patients were categorized as PD with normal cognition (PD-NC, 48), PD-EL (34), or PD-VAM (40). Functional near-infrared spectroscopy measured brain activation during verbal fluency (executive) and line orientation (visuospatial) tasks. PD-EL showed lower word accuracy and reduced activation in dorsolateral/ventrolateral prefrontal cortices, supplementary motor area, and orbitofrontal cortex compared to PD-NC. PD-VAM had lower line orientation scores and reduced ventrolateral prefrontal activation. These findings suggest that PD-MCI subtypes may exhibit differential neural activation patterns reflecting their cognitive deficits, underscoring the need for targeted interventions and mechanistic research.

Identifiers

PMID40506429
PMCPMC12162854

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.