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Items: 29

1.

Connectomic markers of symptom severity in sport-related concussion: Whole-brain analysis of resting-state fMRI.

Churchill NW, Hutchison MG, Graham SJ, Schweizer TA.

Neuroimage Clin. 2018 Feb 17;18:518-526. doi: 10.1016/j.nicl.2018.02.011. eCollection 2018.

2.

Functional MRI of Handwriting Tasks: A Study of Healthy Young Adults Interacting with a Novel Touch-Sensitive Tablet.

Karimpoor M, Churchill NW, Tam F, Fischer CE, Schweizer TA, Graham SJ.

Front Hum Neurosci. 2018 Feb 13;12:30. doi: 10.3389/fnhum.2018.00030. eCollection 2018.

3.

Brain Networks Implicated in Seasonal Affective Disorder: A Neuroimaging PET Study of the Serotonin Transporter.

Nørgaard M, Ganz M, Svarer C, Fisher PM, Churchill NW, Beliveau V, Grady C, Strother SC, Knudsen GM.

Front Neurosci. 2017 Nov 3;11:614. doi: 10.3389/fnins.2017.00614. eCollection 2017.

4.

Tablet-Based Functional MRI of the Trail Making Test: Effect of Tablet Interaction Mode.

Karimpoor M, Churchill NW, Tam F, Fischer CE, Schweizer TA, Graham SJ.

Front Hum Neurosci. 2017 Oct 24;11:496. doi: 10.3389/fnhum.2017.00496. eCollection 2017.

5.

Structural, Functional, and Metabolic Brain Markers Differentiate Collision versus Contact and Non-Contact Athletes.

Churchill NW, Hutchison MG, Di Battista AP, Graham SJ, Schweizer TA.

Front Neurol. 2017 Aug 22;8:390. doi: 10.3389/fneur.2017.00390. eCollection 2017.

6.

Neuroimaging of sport concussion: persistent alterations in brain structure and function at medical clearance.

Churchill NW, Hutchison MG, Richards D, Leung G, Graham SJ, Schweizer TA.

Sci Rep. 2017 Aug 24;7(1):8297. doi: 10.1038/s41598-017-07742-3.

7.

Symptom correlates of cerebral blood flow following acute concussion.

Churchill NW, Hutchison MG, Graham SJ, Schweizer TA.

Neuroimage Clin. 2017 Jul 24;16:234-239. doi: 10.1016/j.nicl.2017.07.019. eCollection 2017.

8.

White matter microstructure in athletes with a history of concussion: Comparing diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI).

Churchill NW, Caverzasi E, Graham SJ, Hutchison MG, Schweizer TA.

Hum Brain Mapp. 2017 Aug;38(8):4201-4211. doi: 10.1002/hbm.23658. Epub 2017 May 29.

PMID:
28556431
9.

The first week after concussion: Blood flow, brain function and white matter microstructure.

Churchill NW, Hutchison MG, Richards D, Leung G, Graham SJ, Schweizer TA.

Neuroimage Clin. 2017 Feb 20;14:480-489. doi: 10.1016/j.nicl.2017.02.015. eCollection 2017.

10.

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.

Gorgolewski KJ, Alfaro-Almagro F, Auer T, Bellec P, Capotă M, Chakravarty MM, Churchill NW, Cohen AL, Craddock RC, Devenyi GA, Eklund A, Esteban O, Flandin G, Ghosh SS, Guntupalli JS, Jenkinson M, Keshavan A, Kiar G, Liem F, Raamana PR, Raffelt D, Steele CJ, Quirion PO, Smith RE, Strother SC, Varoquaux G, Wang Y, Yarkoni T, Poldrack RA.

PLoS Comput Biol. 2017 Mar 9;13(3):e1005209. doi: 10.1371/journal.pcbi.1005209. eCollection 2017 Mar.

11.

Optimizing fMRI preprocessing pipelines for block-design tasks as a function of age.

Churchill NW, Raamana P, Spring R, Strother SC.

Neuroimage. 2017 Jul 1;154:240-254. doi: 10.1016/j.neuroimage.2017.02.028. Epub 2017 Feb 12.

PMID:
28216431
12.

Quantifying functional connectivity in multi-subject fMRI data using component models.

Madsen KH, Churchill NW, Mørup M.

Hum Brain Mapp. 2017 Feb;38(2):882-899. doi: 10.1002/hbm.23425. Epub 2016 Oct 14.

PMID:
27739635
13.

The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI.

Churchill NW, Madsen K, Mørup M.

Neural Comput. 2016 Oct;28(10):2250-90. doi: 10.1162/NECO_a_00877. Epub 2016 Aug 24.

PMID:
27557105
14.

The suppression of scale-free fMRI brain dynamics across three different sources of effort: aging, task novelty and task difficulty.

Churchill NW, Spring R, Grady C, Cimprich B, Askren MK, Reuter-Lorenz PA, Jung MS, Peltier S, Strother SC, Berman MG.

Sci Rep. 2016 Aug 8;6:30895. doi: 10.1038/srep30895.

15.

Reliability of Task-Based fMRI for Preoperative Planning: A Test-Retest Study in Brain Tumor Patients and Healthy Controls.

Morrison MA, Churchill NW, Cusimano MD, Schweizer TA, Das S, Graham SJ.

PLoS One. 2016 Feb 19;11(2):e0149547. doi: 10.1371/journal.pone.0149547. eCollection 2016.

16.

Correction: An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI.

Churchill NW, Spring R, Afshin-Pour B, Dong F, Strother SC.

PLoS One. 2015 Dec 17;10(12):e0145594. doi: 10.1371/journal.pone.0145594. eCollection 2015. No abstract available.

17.

Altered Resting-State Connectivity within Executive Networks after Aneurysmal Subarachnoid Hemorrhage.

Maher M, Churchill NW, de Oliveira Manoel AL, Graham SJ, Macdonald RL, Schweizer TA.

PLoS One. 2015 Jul 14;10(7):e0130483. doi: 10.1371/journal.pone.0130483. eCollection 2015.

18.

An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI.

Churchill NW, Spring R, Afshin-Pour B, Dong F, Strother SC.

PLoS One. 2015 Jul 10;10(7):e0131520. doi: 10.1371/journal.pone.0131520. eCollection 2015. Erratum in: PLoS One. 2015;10(12):e0145594.

19.

Scale-free brain dynamics under physical and psychological distress: pre-treatment effects in women diagnosed with breast cancer.

Churchill NW, Cimprich B, Askren MK, Reuter-Lorenz PA, Jung MS, Peltier S, Berman MG.

Hum Brain Mapp. 2015 Mar;36(3):1077-92. doi: 10.1002/hbm.22687. Epub 2014 Nov 11.

20.

Does resting-state connectivity reflect depressive rumination? A tale of two analyses.

Berman MG, Misic B, Buschkuehl M, Kross E, Deldin PJ, Peltier S, Churchill NW, Jaeggi SM, Vakorin V, McIntosh AR, Jonides J.

Neuroimage. 2014 Dec;103:267-279. doi: 10.1016/j.neuroimage.2014.09.027. Epub 2014 Sep 26.

PMID:
25264228
21.

Pattern classification of fMRI data: applications for analysis of spatially distributed cortical networks.

Yourganov G, Schmah T, Churchill NW, Berman MG, Grady CL, Strother SC.

Neuroimage. 2014 Aug 1;96:117-32. doi: 10.1016/j.neuroimage.2014.03.074. Epub 2014 Apr 4.

PMID:
24705202
22.

Age differences in the default network at rest and the relation to self-referential processing.

Saverino C, Grigg O, Churchill NW, Grady CL.

Soc Cogn Affect Neurosci. 2015 Feb;10(2):231-9. doi: 10.1093/scan/nsu046. Epub 2014 Mar 19.

23.

Comparing within-subject classification and regularization methods in fMRI for large and small sample sizes.

Churchill NW, Yourganov G, Strother SC.

Hum Brain Mapp. 2014 Sep;35(9):4499-517. doi: 10.1002/hbm.22490. Epub 2014 Mar 17.

PMID:
24639383
24.

PHYCAA+: an optimized, adaptive procedure for measuring and controlling physiological noise in BOLD fMRI.

Churchill NW, Strother SC.

Neuroimage. 2013 Nov 15;82:306-25. doi: 10.1016/j.neuroimage.2013.05.102. Epub 2013 May 31.

PMID:
23727534
25.

Optimizing preprocessing and analysis pipelines for single-subject fMRI: 2. Interactions with ICA, PCA, task contrast and inter-subject heterogeneity.

Churchill NW, Yourganov G, Oder A, Tam F, Graham SJ, Strother SC.

PLoS One. 2012;7(2):e31147. doi: 10.1371/journal.pone.0031147. Epub 2012 Feb 27.

26.

PHYCAA: data-driven measurement and removal of physiological noise in BOLD fMRI.

Churchill NW, Yourganov G, Spring R, Rasmussen PM, Lee W, Ween JE, Strother SC.

Neuroimage. 2012 Jan 16;59(2):1299-314. doi: 10.1016/j.neuroimage.2011.08.021. Epub 2011 Aug 16.

PMID:
21871573
27.

Optimizing preprocessing and analysis pipelines for single-subject fMRI. I. Standard temporal motion and physiological noise correction methods.

Churchill NW, Oder A, Abdi H, Tam F, Lee W, Thomas C, Ween JE, Graham SJ, Strother SC.

Hum Brain Mapp. 2012 Mar;33(3):609-27. doi: 10.1002/hbm.21238. Epub 2011 Mar 31.

28.

A new tablet for writing and drawing during functional MRI.

Tam F, Churchill NW, Strother SC, Graham SJ.

Hum Brain Mapp. 2011 Feb;32(2):240-8. doi: 10.1002/hbm.21013. Erratum in: Hum Brain Mapp. 2012 Jul;33(7):1750-1.

PMID:
20336688
29.

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