Evidence map›Paper›PMID 23980912›Full record

ArticleBrain connectivity2013

FATCAT: (an efficient) Functional and Tractographic Connectivity Analysis Toolbox.

Paul A Taylor, Ziad S Saad

Abstract read
In one paragraph

Article in Brain connectivity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 1 pooled it
–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

157 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Modulation of hippocampal activity in schizophrenia with levetiracetam: a randomized, double-blind, cross-over, placebo-controlled trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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97 more citing papers are in PubMed but not listed here.

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

2 authors.

Paul A Taylor1 African Institute for Mathematical Sciences , Muizenberg, Western Cape, South Africa .
Ziad S Saad

Funding

Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025
$30.9M
Functional MRI of Aging: Biophysical CharacterizationR01AG032088 · NIA · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI BISWAL, BHARAT BHUSAN · 2010 to 2014
$1.5M
Intramural NIH HHSNIA NIH HHS R01 AG032088
6 · The paper itself

Abstract

We present a suite of software tools for facilitating the combination of functional magnetic resonance imaging (FMRI) and diffusion-based tractography from a network-focused point of view. The programs have been designed for investigating functionally derived gray matter networks and related structural white matter networks. The software comprises the Functional and Tractographic Connectivity Analysis Toolbox (FATCAT), now freely distributed with AFNI. This toolbox supports common file formats and has been designed to integrate as easily as possible with existing standard FMRI pipelines and diffusion software, such as AFNI, FSL, and TrackVis. The programs are efficient, run by commandline for facilitating group processing, and produce several visualizable outputs. Here, we present the programs and their underlying methods, and we also provide a test example of resting-state FMRI analysis combined with tractography. Tractography results are compared with existing methods, showing significantly reduced runtime and generally similar connectivity, but with important differences such as more circumscribed tract regions and more physiologically identifiable paths produced between several region-of-interest pairs. Currently, FATCAT uses only diffusion tensor-based tractography (one direction per voxel), but higher-order models will soon be included.

Indexed as

BrainNerve NetSoftwareBrain MappingDiffusion Tensor ImagingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeural PathwaysReproducibility of ResultsRest

Identifiers

PMID23980912
PMCPMC3796333

What OpenQuestion holds

Textmetadata
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.