Altered engagement of the speech motor network is associated with reduced phonological working memory in autism

O’Brien, Amanda; Perrachione, Tyler K.; Weil, Lisa Wisman; Araujo, Yoel Sanchez; Halverson, Kelly; Harris, Adrianne; Ostrovskaya, Irina; Kjelgaard, Margaret; Wexler, Kenneth; Tager–Flusberg, Helen; Gabrieli, John D. E.; Qi, Zhenghan

doi:10.1016/j.nicl.2022.103299

Cited by 2 publications

(1 citation statement)

References 161 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, functionality that was previously non-existent in PyMVPA, including LSS model estimations, is now integrated into this BIDS-App version of PyMVPA. The app has already been deployed from the Docker Hub more than 1.4k times, and used in published work as well (e.g., O'Brien et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

The PyMVPA BIDS-App: a robust multivariate pattern analysis pipeline for fMRI data

Torabian,

Vélez,

Sochat

et al. 2023

Front. Neurosci.

View full text Add to dashboard Cite

With the advent of multivariate pattern analysis (MVPA) as an important analytic approach to fMRI, new insights into the functional organization of the brain have emerged. Several software packages have been developed to perform MVPA analysis, but deploying them comes with the cost of adjusting data to individual idiosyncrasies associated with each package. Here we describe PyMVPA BIDS-App, a fast and robust pipeline based on the data organization of the BIDS standard that performs multivariate analyses using powerful functionality of PyMVPA. The app runs flexibly with blocked and event-related fMRI experimental designs, is capable of performing classification as well as representational similarity analysis, and works both within regions of interest or on the whole brain through searchlights. In addition, the app accepts as input both volumetric and surface-based data. Inspections into the intermediate stages of the analyses are available and the readability of final results are facilitated through visualizations. The PyMVPA BIDS-App is designed to be accessible to novice users, while also offering more control to experts through command-line arguments in a highly reproducible environment.

show abstract

Section: Discussionmentioning

confidence: 99%

The PyMVPA BIDS-App: a robust multivariate pattern analysis pipeline for fMRI data

Torabian,

Vélez,

Sochat

et al. 2023

Front. Neurosci.

View full text Add to dashboard Cite

show abstract

Community Newsletter: Confounding head motion; monkey moves; motor speech in autism

Fergenson¹

2023

Spectrum

View full text Add to dashboard Cite

Welcome back to Spectrum's Community Newsletter, our first in 2023. Researchers kept the conversation on Twitter motoring along over the holidays and this week we're highlighting three threads tied to movement.A new method dubbed SHAMAN -for Split Half Analysis of Motion Associated Networks -can help researchers who have conducted certain brain-imaging experiments determine if their observed "brain-behavior correlation was affected by head motion," tweeted study investigator Benjamin Kay, assistant professor of neurology at Washington University School of Medicine in St. Louis.Ever wondered if your interesting brain-behavior correlation was affected by head motion, but were afraid to ask? We've created a motion impact score for detecting spurious brainbehavior associations. Excited to share my 1st preprint on Science Twitter! https://t.co/3gDH7zSb8K pic.twitter.com/lkcpiSvKbr -Benjamin Kay (@ScienceBenKay

show abstract

Altered engagement of the speech motor network is associated with reduced phonological working memory in autism

Cited by 2 publications

References 161 publications

The PyMVPA BIDS-App: a robust multivariate pattern analysis pipeline for fMRI data

The PyMVPA BIDS-App: a robust multivariate pattern analysis pipeline for fMRI data

Community Newsletter: Confounding head motion; monkey moves; motor speech in autism

Contact Info

Product

Resources

About