Evidence map›Paper›PMID 40980409›Full record

ArticleBrain communications2025

Local field potential signal transmission is correlated with the fractional anisotropy measured by diffusion tractography.

Maral Kasiri, Sumiko Abe, Rahil Soroushmojdehi, Estefania Hernandez-Martin, Seyyed Alireza Seyyed Mousavi, Terence D Sanger

Abstract read
In one paragraph

Article in Brain communications, 2025. 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. Review
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

6 authors.

Maral KasiriDepartment of Biomedical Engineering, University of California, Irvine, CA 92697, USA.ORCID https://orcid.org/0000-0003-4852-0585
Sumiko AbeDepartment of Neurology, Children's Health Orange County, Orange, CA 92868, USA.
Rahil SoroushmojdehiDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA.
Estefania Hernandez-MartinDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA.
Seyyed Alireza Seyyed MousaviDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA.
Terence D SangerDepartment of Biomedical Engineering, University of California, Irvine, CA 92697, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we aim to examine the correlation between diffusion tensor imaging parameters of anatomical connectivity and characteristics of signal transmission obtained from patient-specific transfer function models. Here, we focused on elucidating the correlation between structural and functional neural connectivity within a cohort of pediatric patients diagnosed with dystonia. Diffusion tractography images were obtained from 12 patients with dystonia prior to the deep brain stimulation surgery. For each patient, we processed the imaging data to estimate anatomical measures including fractional anisotropy, axial diffusivity, number of fibre tracts per unit area, and fibre tract length. After the implantation of temporary depth leads for each patient as part of their treatment plan, intracranial signals were recorded. Transfer function models of local field potential recordings and the corresponding measures of functional connectivity were computed for each patient. Linear mixed effect analysis was then employed to determine the relationship between transfer function measures and diffusion tractography parameters. Our results illustrate a positive correlation between fractional anisotropy, AD, and intrinsic neural transmission measures, representing amplification and spread of intrinsic neural oscillations, obtained from the transfer functions models. However, no significant correlation was found between the functional connectivity and number of fibre tracts or fibre lengths. Our findings suggest that white matter integrity, as measured by fractional anisotropy and AD, can potentially reflect the amplification and spread of intrinsic brain signals throughout the network. This study underscores the significant relationship between structural and functional connectivity, offering valuable insights into propagation of neural activity in the brain network and potential implications for optimizing non-invasive treatments and planning for neurological disorders.

Indexed as

deep brain stimulationdiffusion tractographydystoniafunctional connectivityLFP signal transmission

Identifiers

PMID40980409
PMCPMC12448941

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.