Evidence map›Paper›PMID 34761459›Full record

ArticleHuman brain mapping2022

A sub+cortical fMRI-based surface parcellation.

John D Lewis, Gleb Bezgin, Vladimir S Fonov, D Louis Collins, Alan C Evans

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 1 institution in 2 countries.

John D LewisMcConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-0832-7396
Gleb BezginMcConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-1069-9201
Vladimir S FonovMcConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-3402-7749
D Louis CollinsMcConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-8432-7021
Alan C EvansMcConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-3841-6098
Montreal Neurological Institute and Hospital · CA

Funding

CIHR
6 · The paper itself

Abstract

Both cortical and subcortical structures are organized into a large number of distinct areas reflecting functional and cytoarchitectonic differences. Mapping these areas is of fundamental importance to neuroscience. A central obstacle to this task is the inaccuracy associated with bringing results from individuals into a common space. The vast individual differences in morphology pose a serious problem for volumetric registration. Surface-based approaches fare substantially better, but have thus far been used only for cortical parcellation, leaving subcortical parcellation in volumetric space. We extend the surface-based approach to include also the subcortical deep gray-matter structures, thus achieving a uniform representation across both cortex and subcortex, suitable for use with surface-based metrics that span these structures, for example, white/gray contrast. Using data from the Enhanced Nathan Klein Institute-Rockland Sample, limited to individuals between 19 and 69 years of age, we generate a functional parcellation of both the cortical and subcortical surfaces. To assess this extended parcellation, we show that (a) our parcellation provides greater homogeneity of functional connectivity patterns than do arbitrary parcellations matching in the number and size of parcels; (b) our parcels align with known cortical and subcortical architecture; and (c) our extended functional parcellation provides an improved fit to the complexity of life-span (6-85 years) changes in white/gray contrast data compared to arbitrary parcellations matching in the number and size of parcels, supporting its use with surface-based measures. We provide our extended functional parcellation for the use of the neuroimaging community.

Indexed as

ConnectomeAdultAgedCerebral CortexFemaleGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedModels, TheoreticalWhite MatterYoung Adultboundary mappingcortical parcellationfunctional connectivitymodel fittingsubcortical parcellationwhite/gray contrast

Identifiers

PMID34761459
PMCPMC8720195
OpenAlexW3212993940

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.