Evidence map›Paper›PMID 34892064›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2021

Cortical Surface-Informed Volumetric Spatial Smoothing of fMRI Data via Graph Signal Processing.

Hamid Behjat, Carl-Fredrik Westin, Iman Aganj

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Hamid Behjat
Carl-Fredrik Westin
Iman Aganj

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON, WESTIN, CARL-FREDRIK · 2012 to 2022
$20.9M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
Connectomic Biomarkers of Preclinical Alzheimer's Disease within Multi-Synaptic PathwaysRF1AG068261 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AGANJ, IMAN · 2021 to 2021
$1.8M
Computational Tools for the Analysis of MRI Images in Type-1 DiabetesK01DK101631 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI AGANJ, IMAN · 2015 to 2019
$797k
Connectomic Biomarkers of Preclinical Alzheimer's Disease within Multi-Synaptic PathwaysR56AG068261 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AGANJ, IMAN · 2020 to 2020
$563k
NIA NIH HHS R56 AG068261NIA NIH HHS RF1 AG068261NIBIB NIH HHS P41 EB015902NIDDK NIH HHS K01 DK101631NIMH NIH HHS R01 MH074794
6 · The paper itself

Abstract

Conventionally, as a preprocessing step, functional MRI (fMRI) data are spatially smoothed before further analysis, be it for activation mapping on task-based fMRI or functional connectivity analysis on resting-state fMRI data. When images are smoothed volumetrically, however, isotropic Gaussian kernels are generally used, which do not adapt to the underlying brain structure. Alternatively, cortical surface smoothing procedures provide the benefit of adapting the smoothing process to the underlying morphology, but require projecting volumetric data on to the surface. In this paper, leveraging principles from graph signal processing, we propose a volumetric spatial smoothing method that takes advantage of the gray-white and pial cortical surfaces, and as such, adapts the filtering process to the underlying morphological details at each point in the cortex.

Indexed as

Brain MappingMagnetic Resonance ImagingBrainImage Processing, Computer-AssistedSignal Processing, Computer-Assisted

Identifiers

PMID34892064
PMCPMC8669627

What OpenQuestion holds

Textmetadata
LicenceTDM
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.