Publications

This work captures current MRI capabilities for investigating the human subcortical auditory system, describes challenges that remain, and contributes novel, openly available data, atlases, and tools for researching the human auditory system.

Sitek KR, Gulban OF, Calabrese E, Johnson GA, Lage-Castellanos A, Moerel M, Ghosh SS, De Martino F

Elife. 2019 Aug 1;8

Data and code availability

We show that cerebellar functional regions follow a gradual organization which progresses from primary (motor) to transmodal (DMN, task-unfocused) regions. A secondary axis extends from task-unfocused to task-focused processing.

Guell X, Schmahmann JD, Gabrieli J, Ghosh SS

Elife. 2018 Aug 14;7

Toolbox for using such gradient displays is described in our Littlebrain paper

fMRIPrep is a Nipype-based, easily accessible, state-of-the-art approach for processing functional MRI data that is robust to variations in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.

Esteban O, Markiewicz CJ, Blair RW, Moodie CA, Isik AI, Erramuzpe A, Kent JD, Goncalves M, DuPre E, Snyder M, Oya H, Ghosh SS, Wright J, Durnez J, Poldrack RA, Gorgolewski KJ

Nature Methods. 2019 16:111–116

fMRIPrep Documentation

This paper introduces distributed weight consolidation (DWC), a continual learning method to consolidate the weights of separate neural networks, each trained on an independent dataset.

McClure P, Zheng C, Kaczmarzyk J, Rogers-Lee J, Ghosh S, Nielson D, Bandettini P, Pereira F

Neural Information Processing Systems. 2018 31

Models and code at Neuronets on Github.

This paper introduces a computational anatomy toolbox for extracting individual anatomical features for a MRI based signature of brain morphology.

Klein A, Ghosh SS, Bao FS, Giard J, Häme Y, Stavsky E, Lee N, Rossa B, Reuter M, Chaibub Neto E, Keshavan A

PLoS Comput Biol. 2017 Feb;13(2):e1005350

More details available at the Mindboggle website

The paper describes an overarching organization of large-scale connectivity that situates the default-mode network at the opposite end of a spectrum from primary sensory and motor regions. These results suggest that the default-mode network consists of regions at the top of a representational hierarchy that describe the current cognitive landscape in the most abstract terms.

Margulies DS, Ghosh SS, Goulas A, Falkiewicz M, Huntenburg JM, Langs G, Bezgin G, Eickhoff SB, Castellanos FX, Petrides M, Jefferies E, Smallwood J

Proc Natl Acad Sci U S A. 2016 Nov 1;113(44):12574-12579

Reviewed in Gradients of Connectivity in the Cerebral Cortex.