Samuel J. Harrison

According to our database, Samuel J. Harrison authored at least 12 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Comparison between gradients and parcellations for functional connectivity prediction of behavior.

Ru Kong, Yanrui Tan, Naren Wulan, Leon Qi Rong Ooi, Seyedeh-Rezvan Farahibozorg, Samuel J. Harrison, Janine D. Bijsterbosch, Boris C. Bernhardt, Simon B. Eickhoff, B. T. Thomas Yeo

NeuroImage, June, 2023

Predicting future depressive episodes from resting-state fMRI with generative embedding.

Herman Galioulline, Stefan Frässle, Samuel J. Harrison, Inês Pereira, Jakob Heinzle, Klaas Enno Stephan

NeuroImage, June, 2023

2021

Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning.

Sandra Iglesias, Lars Kasper, Samuel J. Harrison, Robert Manka, Christoph Mathys, Klaas E. Stephan

NeuroImage, 2021

A Hilbert-based method for processing respiratory timeseries.

Samuel J. Harrison, Samuel Bianchi, Jakob Heinzle, Klaas Enno Stephan, Sandra Iglesias, Lars Kasper

NeuroImage, 2021

Hierarchical modelling of functional brain networks in population and individuals from big fMRI data.

Seyedeh-Rezvan Farahibozorg, Janine D. Bijsterbosch, Weikang Gong, Saâd Jbabdi, Stephen M. Smith, Samuel J. Harrison, Mark W. Woolrich

NeuroImage, 2021

2020

Modelling subject variability in the spatial and temporal characteristics of functional modes.

Samuel J. Harrison, Janine D. Bijsterbosch, Andrew R. Segerdahl, Sean P. Fitzgibbon, Seyedeh-Rezvan Farahibozorg, Eugene P. Duff, Stephen M. Smith, Mark W. Woolrich

NeuroImage, 2020

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.

Sean P. Fitzgibbon, Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani, Jelena Bozek, Vyacheslav Karolis, Lucilio Cordero-Grande, Anthony N. Price, Emer J. Hughes, Antonios Makropoulos, Jonathan Passerat-Palmbach, Andreas Schuh, Jianliang Gao, Seyedeh-Rezvan Farahibozorg, Jonathan O'Muircheartaigh, Judit Ciarrusta, Jesper Andersson

NeuroImage, 2020

2019

Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power.

Matthew F. Glasser, Timothy S. Coalson, Janine D. Bijsterbosch, Samuel J. Harrison, Michael P. Harms, Alan Anticevic, David C. Van Essen, Stephen M. Smith

NeuroImage, 2019

2018

Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data.

Matthew F. Glasser, Timothy S. Coalson, Janine D. Bijsterbosch, Samuel J. Harrison, Michael P. Harms, Alan Anticevic, David C. Van Essen, Stephen M. Smith

NeuroImage, 2018

Multi-subject hierarchical inverse covariance modelling improves estimation of functional brain networks.

Giles L. Colclough, Mark W. Woolrich, Samuel J. Harrison, Pedro A. Rojas-Lopez, Pedro A. Valdés-Sosa, Stephen M. Smith

NeuroImage, 2018

2017

Investigations into within- and between-subject resting-state amplitude variations.

Janine Bijsterbosch, Samuel J. Harrison, Eugene P. Duff, Fidel Alfaro-Almagro, Mark W. Woolrich, Stephen M. Smith

NeuroImage, 2017

2015

Large-scale Probabilistic Functional Modes from resting state fMRI.

Samuel J. Harrison, Mark W. Woolrich, Emma C. Robinson, Matthew F. Glasser, Christian F. Beckmann, Mark Jenkinson, Stephen M. Smith

NeuroImage, 2015