Scott Huberty
Overview
Explore the profile of Scott Huberty including associated specialties, affiliations and a list of published articles.
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Articles
11
Citations
153
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Recent Articles
1.
OReilly C, Huberty S, van Noordt S, Desjardins J, Wright N, Scorah J, et al.
Mol Autism
. 2023 Oct;
14(1):37.
PMID: 37805500
Background: Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, we know relatively little about the development of these differences in...
2.
OReilly C, Huberty S, van Noordt S, Desjardins J, Wright N, Scorah J, et al.
Res Sq
. 2023 Jun;
PMID: 37292600
Background: Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, relatively little is known about the development of these differences in...
3.
Huberty S, OReilly C, Carter Leno V, Steiman M, Webb S, Elsabbagh M
Infancy
. 2023 Mar;
28(4):754-770.
PMID: 36943905
Understanding the neural processes underpinning individual differences in early language development is of increasing interest, as it is known to vary in typical development and to be quite heterogeneous in...
4.
Huberty S, Carter Leno V, van Noordt S, Bedford R, Pickles A, Desjardins J, et al.
Autism Res
. 2021 May;
14(7):1390-1403.
PMID: 33955195
Autism spectrum disorder (ASD) has its origins in the atypical development of brain networks. Infants who are at high familial risk for, and later diagnosed with ASD, show atypical activity...
5.
Carter Leno V, Pickles A, van Noordt S, Huberty S, Desjardins J, Webb S, et al.
Dev Cogn Neurosci
. 2021 Mar;
48:100938.
PMID: 33714056
Although studies of PAF in individuals with autism spectrum disorder (ASD) report group differences and associations with non-verbal cognitive ability, it is not known how PAF relates to familial risk...
6.
Desjardins J, van Noordt S, Huberty S, Segalowitz S, Elsabbagh M
J Neurosci Methods
. 2020 Oct;
347:108961.
PMID: 33038417
Background: The methods available for pre-processing EEG data are rapidly evolving as researchers gain access to vast computational resources; however, the field currently lacks a set of standardized approaches for...
7.
van Noordt S, Desjardins J, Huberty S, Abou-Abbas L, Webb S, Levin A, et al.
Mol Med
. 2020 May;
26(1):40.
PMID: 32380941
Background: Establishing reliable predictive and diganostic biomarkers of autism would enhance early identification and facilitate targeted intervention during periods of greatest plasticity in early brain development. High impact research on...
8.
Frohlich J, Reiter L, Saravanapandian V, DiStefano C, Huberty S, Hyde C, et al.
Mol Autism
. 2019 Nov;
10:37.
PMID: 31709034
[This corrects the article DOI: 10.1186/s13229-019-0280-6.].
9.
Frohlich J, Reiter L, Saravanapandian V, DiStefano C, Huberty S, Hyde C, et al.
Mol Autism
. 2019 Jul;
10:29.
PMID: 31312421
Background: Duplications of 15q11.2-q13.1 (Dup15q syndrome), including the paternally imprinted gene and three nonimprinted gamma-aminobutyric acid type-A (GABA) receptor genes, are highly penetrant for neurodevelopmental disorders such as autism spectrum...
10.
Frohlich J, Senturk D, Saravanapandian V, Golshani P, Reiter L, Sankar R, et al.
PLoS One
. 2016 Dec;
11(12):e0167179.
PMID: 27977700
Background: Duplications of 15q11.2-q13.1 (Dup15q syndrome) are highly penetrant for autism spectrum disorder (ASD). A distinct electrophysiological (EEG) pattern characterized by excessive activity in the beta band has been noted...