Evidence map›Paper›PMID 32954322›Full record

ArticleBrain communications2020

Origins of atrophy in Parkinson linked to early onset and local transcription patterns.

Pedro D Maia, Sneha Pandya, Benjamin Freeze, Justin Torok, Ajay Gupta, Yashar Zeighami, Ashish Raj

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain communications, 2020. 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
0.8field-weighted citation impact, top 23% of its field
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, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Connectome-based biophysics models of Alzheimer's disease diagnosis and prognosis.Translational research : the journal of laboratory and clinical medicine · 2023
    Review
  4. Review
  5. Article
  6. Article
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

7 authors at 4 institutions in 2 countries.

Pedro D MaiaDepartment of Radiology and Biomedical Imaging, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3335-4257
Sneha PandyaDepartment of Radiology, Weill Cornell Medical College, New York, NY, USA.ORCID 0000-0002-3284-2603
Benjamin FreezeDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0003-1742-8188
Justin TorokDepartment of Radiology, Weill Cornell Medical College, New York, NY, USA.
Ajay GuptaDepartment of Radiology, Weill Cornell Medical College, New York, NY, USA.
Yashar ZeighamiBrain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Canada.
Ashish RajDepartment of Radiology and Biomedical Imaging, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Cornell University · USUniversity of California, San Francisco · USHarvard University · USMontreal Neurological Institute and Hospital · CA

Funding

Predictive model of spread of Parkinson's pathology using network diffusionR01NS092802 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUPTA, AJAY, RAJ, ASHISH · 2016 to 2020
$2.8M
Multimodal modeling framework for fusing structural and functional connectome dataR01EB022717 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI NAGARAJAN, SRIKANTAN S., RAJ, ASHISH · 2016 to 2018
$1.6M
NIBIB NIH HHS R01 EB022717NINDS NIH HHS R01 NS092802
6 · The paper itself

Abstract

There is enormous clinical value in inferring the brain regions initially atrophied in Parkinson disease for individual patients and understanding its relationship with clinical and genetic risk factors. The aim of this study is to leverage a new seed-inference algorithm demonstrated for Alzheimer's disease to the Parkinsonian context and to cluster patients in meaningful subgroups based on these incipient atrophy patterns. Instead of testing brain regions separately as the likely initiation site for each patient, we solve an L1-penalized optimization problem that can return a more predictive heterogeneous, multi-locus seed patterns. A cluster analysis of the individual seed patterns reveals two distinct subgroups (S1 versus S2). The S1 subgroup is characterized by the involvement of the brainstem and ventral nuclei, and S2 by cortex and striatum.

Indexed as

computational neurologyearly atrophymicroglia abundanceParkinson diseaseParkinson subgroups

Identifiers

PMID32954322
PMCPMC7472895
OpenAlexW3035220500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.