Ally Dworetsky
Overview
Explore the profile of Ally Dworetsky including associated specialties, affiliations and a list of published articles.
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Articles
16
Citations
254
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0
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Recent Articles
1.
Precision-mapping Functional Connectivity in Parkinson Disease: Feasibility & Reliability (P7-3.005)
Campbell M, Grossen S, Carr E, Eid A, Norris S, Chernicky J, et al.
Neurology
. 2025 Feb;
102(7_supplement_1):6310.
PMID: 39977890
Objective: To determine the feasibility and reliability of using precision-mapping techniques for people with Parkinson disease. Background: Standard resting-state functional connectivity (RSFC) approaches collect small amounts of data, typically ≤...
2.
Lee H, Dworetsky A, Labora N, Gratton C
Trends Cogn Sci
. 2024 Oct;
29(2):170-183.
PMID: 39419740
Predicting individual behavioral traits from brain idiosyncrasies has broad practical implications, yet predictions vary widely. This constraint may be driven by a combination of signal and noise in both brain...
3.
Dworetsky A, Seitzman B, Adeyemo B, Nielsen A, Hatoum A, Smith D, et al.
Nat Neurosci
. 2024 Apr;
27(6):1187-1198.
PMID: 38689142
The cortex has a characteristic layout with specialized functional areas forming distributed large-scale networks. However, substantial work shows striking variation in this organization across people, which relates to differences in...
4.
Farah R, Dworetsky A, Coalson R, Petersen S, Schlaggar B, Rosch K, et al.
Cereb Cortex
. 2024 Apr;
34(4.
PMID: 38664864
The Simple View of Reading model suggests that intact language processing and word decoding lead to proficient reading comprehension, with recent studies pointing at executive functions as an important component...
5.
Hermosillo R, Moore L, Feczko E, Miranda-Dominguez O, Pines A, Dworetsky A, et al.
Nat Neurosci
. 2024 Mar;
27(5):1000-1013.
PMID: 38532024
Although the general location of functional neural networks is similar across individuals, there is vast person-to-person topographic variability. To capture this, we implemented precision brain mapping functional magnetic resonance imaging...
6.
Cognition and Brain System Segregation in Pediatric Brain Tumor Patients Treated with Proton Therapy
Dowling A, Seitzman B, Mitchell T, Olufawo M, Dierker D, Anandarajah H, et al.
Int J Part Ther
. 2023 Oct;
10(1):32-42.
PMID: 37823016
Purpose: Pediatric brain tumor patients often experience significant cognitive sequelae. Resting-state functional MRI (rsfMRI) provides a measure of brain network organization, and we hypothesize that pediatric brain tumor patients treated...
7.
Seitzman B, Anandarajah H, Dworetsky A, McMichael A, Coalson R, Agamah A, et al.
Brain Imaging Behav
. 2023 Sep;
17(6):689-701.
PMID: 37695507
Survivors of pediatric brain tumors experience significant cognitive deficits from their diagnosis and treatment. The exact mechanisms of cognitive injury are poorly understood, and validated predictors of long-term cognitive outcome...
8.
Smith D, Kraus B, Dworetsky A, Gordon E, Gratton C
Neuroimage
. 2023 Jun;
277:120195.
PMID: 37286152
Connector 'hubs' are brain regions with links to multiple networks. These regions are hypothesized to play a critical role in brain function. While hubs are often identified based on group-average...
9.
Perez D, Dworetsky A, Braga R, Beeman M, Gratton C
J Cogn Neurosci
. 2022 Nov;
35(2):200-225.
PMID: 36378901
Resting-state fMRI studies have revealed that individuals exhibit stable, functionally meaningful divergences in large-scale network organization. The locations with strongest deviations (called network "variants") have a characteristic spatial distribution, with...
10.
Ladwig Z, Seitzman B, Dworetsky A, Yu Y, Adeyemo B, Smith D, et al.
Neuroimage
. 2022 Jul;
260:119476.
PMID: 35842100
Recent work identified single time points ("events") of high regional cofluctuation in functional Magnetic Resonance Imaging (fMRI) which contain more large-scale brain network information than other, low cofluctuation time points....