Evidence map›Paper›PMID 25431757›Full record

ArticleMethodsX2014

The Ionic DTI Model (iDTI) of Dynamic Diffusion Tensor Imaging (dDTI).

Nikos Makris, Gregory P Gasic, Leoncio Garrido

Abstract read
In one paragraph

Article in MethodsX, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Nikos MakrisHarvard Medical School, Departments of Psychiatry and Neurology, Center for Morphometric Analysis, HST Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02129, USA.
Gregory P GasicHarvard Medical School, Department of Radiology, HST Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02129, USA.
Leoncio GarridoDepartment of Physical Chemistry, Instituto de Ciencia y Tecnología de Polímeros, Consejo Superior de Investigaciones Científicas (ICTP-CSIC), Juan de la Cierva 3, E-28006 Madrid, Spain.

Funding

Imaging of DLPFC and amygdala impact on relative preference in cocaine addictionR01DA027804 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI BREITER, HANS C, MAKRIS, NIKOLAOS · 2009 to 2013
$2.1M
Large scale language networks Topography and selective degenerationR21NS077059 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI DICKERSON, BRADFORD C, MAKRIS, NIKOLAOS · 2012 to 2013
$471k
NIDA NIH HHS R01 DA027804NINDS NIH HHS R21 NS077059
6 · The paper itself

Abstract

Measurements of water molecule diffusion along fiber tracts in CNS by diffusion tensor imaging (DTI) provides a static map of neural connections between brain centers, but does not capture the electrical activity along axons for these fiber tracts. Here, a modification of the DTI method is presented to enable the mapping of active fibers. It is termed dynamic diffusion tensor imaging (dDTI) and is based on a hypothesized "anisotropy reduction due to axonal excitation" ("AREX"). The potential changes in water mobility accompanying the movement of ions during the propagation of action potentials along axonal tracts are taken into account. Specifically, the proposed model, termed "ionic DTI model", was formulated as follows. First, based on theoretical calculations, we calculated the molecular water flow accompanying the ionic flow perpendicular to the principal axis of fiber tracts produced by electrical conduction along excited myelinated and non-myelinated axons.Based on the changes in molecular water flow we estimated the signal changes as well as the changes in fractional anisotropy of axonal tracts while performing a functional task.The variation of fractional anisotropy in axonal tracts could allow mapping the active fiber tracts during a functional task. Although technological advances are necessary to enable the robust and routine measurement of this electrical activity-dependent movement of water molecules perpendicular to axons, the proposed model of dDTI defines the vectorial parameters that will need to be measured to bring this much needed technique to fruition.

Identifiers

PMID25431757
PMCPMC4241967

What OpenQuestion holds

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Registered trials

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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.