Evidence map›Paper›PMID 37180873›Full record

ArticleAging brain2023

Multimodal imaging of the aging brain: Baseline findings of the LoCARPoN study.

Pallavi Nair, Kameshwar Prasad, Parthiban Balasundaram, Deepti Vibha, Sada Nand Dwivedi, Shailesh B Gaikwad, Achal K Srivastava, Vivek Verma

Open access · goldAbstract read
In one paragraph

Article in Aging brain, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

8 authors at 3 institutions in 2 countries.

Pallavi NairDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Kameshwar PrasadDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Parthiban BalasundaramDepartment of Neuroradiology, All India Institute of Medical Sciences, New Delhi, India.
Deepti VibhaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Sada Nand DwivediDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Shailesh B GaikwadDepartment of Neuroradiology, Kings College Hospital, London, UK.
Achal K SrivastavaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Vivek VermaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · INKing's College Hospital · GBRajendra Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We quantified and investigated multimodal brain MRI measures in the LoCARPoN Study due to lack of normative data among Indians. A total of 401 participants (aged 50-88 years) without stroke or dementia completed MRI investigation. We assessed 31 brain measures in total using four brain MRI modalities, including macrostructural (global & lobar volumes, white matter hyperintensities [WMHs]), microstructural (global and tract-specific white matter fractional anisotropy [WM-FA] and mean diffusivity [MD]) and perfusion measures (global and lobar cerebral blood flow [CBF]). The absolute brain volumes of males were significantly larger than those of females, but such differences were relatively small (<1.2% of intracranial volume). With increasing age, lower macrostructural brain volumes, lower WM-FA, greater WMHs, higher WM-MD were found (

Indexed as

AgingMultimodal MRINeuroimagingPopulation-based study

Identifiers

PMID37180873
PMCPMC10173278
OpenAlexW4367333256

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.