John D Murray
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Explore the profile of John D Murray including associated specialties, affiliations and a list of published articles.
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88
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4528
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Recent Articles
1.
Munoz F, Jensen G, Shinn M, Alkan Y, Murray J, Terrace H, et al.
bioRxiv
. 2025 Feb;
PMID: 39990363
The accumulation of evidence over time formalized in the drift diffusion model (DDM), has become one of the most prevalent models of deliberative decision-making. To better understand the role of...
2.
Ito T, Murray J
Netw Neurosci
. 2024 Dec;
8(4):1331-1354.
PMID: 39735511
State-dependent neural correlations can be understood from a neural coding framework. Noise correlations-trial-to-trial or moment-to-moment covariability-can be interpreted only if the underlying signal correlation-similarity of task selectivity between pairs of...
3.
Pyne S, Sach T, Cameron R, Risebro H, Wright-Hughes A, Thompson E, et al.
Clin Rehabil
. 2024 Dec;
39(2):161-173.
PMID: 39639534
Objective: To compare costs and consequences of Early Stroke Specialist Vocational Rehabilitation (ESSVR) with usual care in working age, stroke survivors over 12 months. Design: An economic evaluation nested within...
4.
Radford K, Wright-Hughes A, Thompson E, Clarke D, Phillips J, Holmes J, et al.
Int J Stroke
. 2024 Nov;
:17474930241306693.
PMID: 39614629
Background: Return-to-work is a major goal achieved by fewer than 50% stroke survivors. Evidence on how to support return-to-work is lacking. Aims: To evaluate the clinical effectiveness of Early Stroke...
5.
Lee K, Ji J, Fonteneau C, Berkovitch L, Rahmati M, Pan L, et al.
PLoS Biol
. 2024 Sep;
22(9):e3002808.
PMID: 39316635
Neural activity and behavior vary within an individual (states) and between individuals (traits). However, the mapping of state-trait neural variation to behavior is not well understood. To address this gap,...
6.
Purg Suljic N, Kraljic A, Rahmati M, Cho Y, Slana Ozimic A, Murray J, et al.
Cereb Cortex
. 2024 Aug;
34(8).
PMID: 39214852
Spatial locations can be encoded and maintained in working memory using different representations and strategies. Fine-grained representations provide detailed stimulus information, but are cognitively demanding and prone to inexactness. The...
7.
Spiller T, Duek O, Helmer M, Murray J, Fielstein E, Pietrzak R, et al.
JAMA Psychiatry
. 2024 Aug;
81(11):1101-1107.
PMID: 39110437
Importance: DSM criteria are polythetic, allowing for heterogeneity of symptoms among individuals with the same disorder. In empirical research, most combinations were not found or only rarely found, prompting criticism...
8.
Moujaes F, Ji J, Rahmati M, Burt J, Schleifer C, Adkinson B, et al.
Elife
. 2024 Apr;
13.
PMID: 38629811
Background: Ketamine has emerged as one of the most promising therapies for treatment-resistant depression. However, inter-individual variability in response to ketamine is still not well understood and it is unclear...
9.
Helmer M, Warrington S, Mohammadi-Nejad A, Ji J, Howell A, Rosand B, et al.
Commun Biol
. 2024 Feb;
7(1):217.
PMID: 38383808
Associations between datasets can be discovered through multivariate methods like Canonical Correlation Analysis (CCA) or Partial Least Squares (PLS). A requisite property for interpretability and generalizability of CCA/PLS associations is...
10.
Berkovitch L, Lee K, Ji J, Helmer M, Rahmati M, Demsar J, et al.
medRxiv
. 2024 Jan;
PMID: 38168378
Importance: Understanding the mechanisms of major depressive disorder (MDD) improvement is a key challenge to determine effective personalized treatments. Objective: To perform a secondary analysis quantifying neural-to-symptom relationships in MDD...