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The Relationship Between Local Field Potentials and the Blood-Oxygenation-Level Dependent MRI Signal Can Be Non-linear.

Zhang X, Pan WJ, Keilholz S.

Front Neurosci. 2019 Oct 25;13:1126. doi: 10.3389/fnins.2019.01126. eCollection 2019.


Author Correction: Quasi-Periodic Patterns of Neural Activity improve Classification of Alzheimer's Disease in Mice.

Belloy ME, Shah D, Abbas A, Kashyap A, Roßner S, Van der Linden A, Keilholz SD, Keliris GA, Verhoye M.

Sci Rep. 2019 Nov 8;9(1):16732. doi: 10.1038/s41598-019-53432-7.


Early detection and staging of chronic liver diseases with a protein MRI contrast agent.

Salarian M, Turaga RC, Xue S, Nezafati M, Hekmatyar K, Qiao J, Zhang Y, Tan S, Ibhagui OY, Hai Y, Li J, Mukkavilli R, Sharma M, Mittal P, Min X, Keilholz S, Yu L, Qin G, Farris AB, Liu ZR, Yang JJ.

Nat Commun. 2019 Oct 29;10(1):4777. doi: 10.1038/s41467-019-11984-2.


Dynamic properties of simulated brain network models and empirical resting-state data.

Kashyap A, Keilholz S.

Netw Neurosci. 2019 Feb 1;3(2):405-426. doi: 10.1162/netn_a_00070. eCollection 2019.


Quasi-periodic patterns contribute to functional connectivity in the brain.

Abbas A, Belloy M, Kashyap A, Billings J, Nezafati M, Schumacher EH, Keilholz S.

Neuroimage. 2019 May 1;191:193-204. doi: 10.1016/j.neuroimage.2019.01.076. Epub 2019 Feb 10.


Quasi-periodic patterns of brain activity in individuals with attention-deficit/hyperactivity disorder.

Abbas A, Bassil Y, Keilholz S.

Neuroimage Clin. 2019;21:101653. doi: 10.1016/j.nicl.2019.101653. Epub 2019 Jan 19.


Spontaneous cognitive processes and the behavioral validation of time-varying brain connectivity.

Kucyi A, Tambini A, Sadaghiani S, Keilholz S, Cohen JR.

Netw Neurosci. 2018 Oct 1;2(4):397-417. doi: 10.1162/netn_a_00037. eCollection 2018.


Disentangling Multispectral Functional Connectivity With Wavelets.

Billings JCW, Thompson GJ, Pan WJ, Magnuson ME, Medda A, Keilholz S.

Front Neurosci. 2018 Nov 6;12:812. doi: 10.3389/fnins.2018.00812. eCollection 2018.


Mapping and interpreting the dynamic connectivity of the brain.

Chang C, Keilholz S, Miller R, Woolrich M.

Neuroimage. 2018 Oct 15;180(Pt B):335-336. doi: 10.1016/j.neuroimage.2018.07.018. Epub 2018 Jul 31. No abstract available.


Resting State fMRI in Rodents.

Pan WJ, Billings J, Nezafati M, Abbas A, Keilholz S.

Curr Protoc Neurosci. 2018 Apr;83(1):e45. doi: 10.1002/cpns.45.


Quasi-Periodic Patterns of Neural Activity improve Classification of Alzheimer's Disease in Mice.

Belloy ME, Shah D, Abbas A, Kashyap A, Roßner S, Van der Linden A, Keilholz SD, Keliris GA, Verhoye M.

Sci Rep. 2018 Jul 3;8(1):10024. doi: 10.1038/s41598-018-28237-9. Erratum in: Sci Rep. 2019 Nov 8;9(1):16732.


Investigating the Intersession Reliability of Dynamic Brain-State Properties.

Smith DM, Zhao Y, Keilholz SD, Schumacher EH.

Brain Connect. 2018 Jun;8(5):255-267. doi: 10.1089/brain.2017.0571.


Detection of neural light-scattering activity in vivo: optical transmittance studies in the rat brain.

Pan WJ, Lee SY, Billings J, Nezafati M, Majeed W, Buckley E, Keilholz S.

Neuroimage. 2018 Oct 1;179:207-214. doi: 10.1016/j.neuroimage.2018.06.039. Epub 2018 Jun 14.


Dynamic resting state fMRI analysis in mice reveals a set of Quasi-Periodic Patterns and illustrates their relationship with the global signal.

Belloy ME, Naeyaert M, Abbas A, Shah D, Vanreusel V, van Audekerke J, Keilholz SD, Keliris GA, Van der Linden A, Verhoye M.

Neuroimage. 2018 Oct 15;180(Pt B):463-484. doi: 10.1016/j.neuroimage.2018.01.075. Epub 2018 Feb 15.


The Not-So-Global Blood Oxygen Level-Dependent Signal.

Billings J, Keilholz S.

Brain Connect. 2018 Apr;8(3):121-128. doi: 10.1089/brain.2017.0517.


δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains.

Fountalis I, Dovrolis C, Bracco A, Dilkina B, Keilholz S.

Appl Netw Sci. 2018;3(1):21. doi: 10.1007/s41109-018-0078-z. Epub 2018 Jul 31.


Quasi-periodic patterns of intrinsic brain activity in individuals and their relationship to global signal.

Yousefi B, Shin J, Schumacher EH, Keilholz SD.

Neuroimage. 2018 Feb 15;167:297-308. doi: 10.1016/j.neuroimage.2017.11.043. Epub 2017 Nov 22.


Functional architecture of the human brain.

Zalesky A, Keilholz SD, van den Heuvel MP.

Neuroimage. 2017 Oct 15;160:1. doi: 10.1016/j.neuroimage.2017.10.018. No abstract available.


Parametric Dependencies of Sliding Window Correlation.

Shakil S, Billings JC, Keilholz SD, Lee CH.

IEEE Trans Biomed Eng. 2018 Feb;65(2):254-263. doi: 10.1109/TBME.2017.2762763. Epub 2017 Oct 13.


Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New Directions.

Keilholz S, Caballero-Gaudes C, Bandettini P, Deco G, Calhoun V.

Brain Connect. 2017 Oct;7(8):465-481. doi: 10.1089/brain.2017.0543. Review.


Instantaneous brain dynamics mapped to a continuous state space.

Billings JCW, Medda A, Shakil S, Shen X, Kashyap A, Chen S, Abbas A, Zhang X, Nezafati M, Pan WJ, Berman GJ, Keilholz SD.

Neuroimage. 2017 Nov 15;162:344-352. doi: 10.1016/j.neuroimage.2017.08.042. Epub 2017 Aug 18.


Infraslow Electroencephalographic and Dynamic Resting State Network Activity.

Grooms JK, Thompson GJ, Pan WJ, Billings J, Schumacher EH, Epstein CM, Keilholz SD.

Brain Connect. 2017 Jun;7(5):265-280. doi: 10.1089/brain.2017.0492.


Adaptive change point detection of dynamic functional connectivity networks.

Shakil S, Keilholz SD, Chin-Hui Lee.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:1135-1138. doi: 10.1109/EMBC.2016.7590904.


Multiscale network activity in resting state fMRI.

Keilholz SD, Billings JC, Kai Wang, Abbas A, Hafeneger C, Wen-Ju Pan, Shakil S, Nezafati M.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:61-64. doi: 10.1109/EMBC.2016.7590640.


Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.

Keilholz SD, Pan WJ, Billings J, Nezafati M, Shakil S.

Neuroimage. 2017 Jul 1;154:267-281. doi: 10.1016/j.neuroimage.2016.12.019. Epub 2016 Dec 22. Review.


Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states.

Shakil S, Lee CH, Keilholz SD.

Neuroimage. 2016 Jun;133:111-128. doi: 10.1016/j.neuroimage.2016.02.074. Epub 2016 Mar 4.


Ultra-fast magnetic resonance encephalography of physiological brain activity - Glymphatic pulsation mechanisms?

Kiviniemi V, Wang X, Korhonen V, Keinänen T, Tuovinen T, Autio J, LeVan P, Keilholz S, Zang YF, Hennig J, Nedergaard M.

J Cereb Blood Flow Metab. 2016 Jun;36(6):1033-45. doi: 10.1177/0271678X15622047. Epub 2015 Dec 21.


Wavelet-based clustering of resting state MRI data in the rat.

Medda A, Hoffmann L, Magnuson M, Thompson G, Pan WJ, Keilholz S.

Magn Reson Imaging. 2016 Jan;34(1):35-43. doi: 10.1016/j.mri.2015.10.005. Epub 2015 Oct 23.


Considerations for resting state functional MRI and functional connectivity studies in rodents.

Pan WJ, Billings JC, Grooms JK, Shakil S, Keilholz SD.

Front Neurosci. 2015 Aug 5;9:269. doi: 10.3389/fnins.2015.00269. eCollection 2015. Review.


Voxel-based morphometry predicts shifts in dendritic spine density and morphology with auditory fear conditioning.

Keifer OP Jr, Hurt RC, Gutman DA, Keilholz SD, Gourley SL, Ressler KJ.

Nat Commun. 2015 Jul 7;6:7582. doi: 10.1038/ncomms8582.


Different dynamic resting state fMRI patterns are linked to different frequencies of neural activity.

Thompson GJ, Pan WJ, Keilholz SD.

J Neurophysiol. 2015 Jul;114(1):114-24. doi: 10.1152/jn.00235.2015. Epub 2015 Jun 3. Erratum in: J Neurophysiol. 2015 Dec;114(6):3400.


Cluster-based analysis for characterizing dynamic functional connectivity.

Shakil S, Magnuson ME, Keilholz SD, Lee CH.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:982-5. doi: 10.1109/EMBC.2014.6943757.


Errors on interrupter tasks presented during spatial and verbal working memory performance are linearly linked to large-scale functional network connectivity in high temporal resolution resting state fMRI.

Magnuson ME, Thompson GJ, Schwarb H, Pan WJ, McKinley A, Schumacher EH, Keilholz SD.

Brain Imaging Behav. 2015 Dec;9(4):854-67. doi: 10.1007/s11682-014-9347-3.


A comparative analysis of mouse and human medial geniculate nucleus connectivity: a DTI and anterograde tracing study.

Keifer OP Jr, Gutman DA, Hecht EE, Keilholz SD, Ressler KJ.

Neuroimage. 2015 Jan 15;105:53-66. doi: 10.1016/j.neuroimage.2014.10.047. Epub 2014 Oct 23.


The neural basis of time-varying resting-state functional connectivity.

Keilholz SD.

Brain Connect. 2014 Dec;4(10):769-79. doi: 10.1089/brain.2014.0250. Review.


Phase-amplitude coupling and infraslow (<1 Hz) frequencies in the rat brain: relationship to resting state fMRI.

Thompson GJ, Pan WJ, Billings JC, Grooms JK, Shakil S, Jaeger D, Keilholz SD.

Front Integr Neurosci. 2014 May 27;8:41. doi: 10.3389/fnint.2014.00041. eCollection 2014.


Microembolism induces anhedonia but no detectable changes in white matter integrity in aged rats.

Nemeth CL, Gutman DA, Majeed W, Keilholz SD, Neigh GN.

PLoS One. 2014 May 8;9(5):e96624. doi: 10.1371/journal.pone.0096624. eCollection 2014.


Time-dependent effects of isoflurane and dexmedetomidine on functional connectivity, spectral characteristics, and spatial distribution of spontaneous BOLD fluctuations.

Magnuson ME, Thompson GJ, Pan WJ, Keilholz SD.

NMR Biomed. 2014 Mar;27(3):291-303. doi: 10.1002/nbm.3062. Epub 2014 Jan 21.


Effects of severing the corpus callosum on electrical and BOLD functional connectivity and spontaneous dynamic activity in the rat brain.

Magnuson ME, Thompson GJ, Pan WJ, Keilholz SD.

Brain Connect. 2014 Feb;4(1):15-29. doi: 10.1089/brain.2013.0167. Epub 2014 Jan 23.


Quasi-periodic patterns (QPP): large-scale dynamics in resting state fMRI that correlate with local infraslow electrical activity.

Thompson GJ, Pan WJ, Magnuson ME, Jaeger D, Keilholz SD.

Neuroimage. 2014 Jan 1;84:1018-31. doi: 10.1016/j.neuroimage.2013.09.029. Epub 2013 Sep 23.


Neural correlates of time-varying functional connectivity in the rat.

Thompson GJ, Merritt MD, Pan WJ, Magnuson ME, Grooms JK, Jaeger D, Keilholz SD.

Neuroimage. 2013 Dec;83:826-36. doi: 10.1016/j.neuroimage.2013.07.036. Epub 2013 Jul 19.


Dynamic functional connectivity: promise, issues, and interpretations.

Hutchison RM, Womelsdorf T, Allen EA, Bandettini PA, Calhoun VD, Corbetta M, Della Penna S, Duyn JH, Glover GH, Gonzalez-Castillo J, Handwerker DA, Keilholz S, Kiviniemi V, Leopold DA, de Pasquale F, Sporns O, Walter M, Chang C.

Neuroimage. 2013 Oct 15;80:360-78. doi: 10.1016/j.neuroimage.2013.05.079. Epub 2013 May 24. Review.


Infraslow LFP correlates to resting-state fMRI BOLD signals.

Pan WJ, Thompson GJ, Magnuson ME, Jaeger D, Keilholz S.

Neuroimage. 2013 Jul 1;74:288-97. doi: 10.1016/j.neuroimage.2013.02.035. Epub 2013 Feb 26.


Dynamic properties of functional connectivity in the rodent.

Keilholz SD, Magnuson ME, Pan WJ, Willis M, Thompson GJ.

Brain Connect. 2013;3(1):31-40. doi: 10.1089/brain.2012.0115. Epub 2013 Jan 29.


A DTI tractography analysis of infralimbic and prelimbic connectivity in the mouse using high-throughput MRI.

Gutman DA, Keifer OP Jr, Magnuson ME, Choi DC, Majeed W, Keilholz S, Ressler KJ.

Neuroimage. 2012 Nov 1;63(2):800-11. doi: 10.1016/j.neuroimage.2012.07.014. Epub 2012 Jul 14.


Short-time windows of correlation between large-scale functional brain networks predict vigilance intraindividually and interindividually.

Thompson GJ, Magnuson ME, Merritt MD, Schwarb H, Pan WJ, McKinley A, Tripp LD, Schumacher EH, Keilholz SD.

Hum Brain Mapp. 2013 Dec;34(12):3280-98. doi: 10.1002/hbm.22140. Epub 2012 Jun 27.


Mapping of the mouse olfactory system with manganese-enhanced magnetic resonance imaging and diffusion tensor imaging.

Gutman DA, Magnuson M, Majeed W, Keifer OP Jr, Davis M, Ressler KJ, Keilholz S.

Brain Struct Funct. 2013 Mar;218(2):527-37. doi: 10.1007/s00429-012-0413-6. Epub 2012 Apr 24.


Evaluation of data-driven network analysis approaches for functional connectivity MRI.

Keilholz SD, Magnuson M, Thompson G.

Brain Struct Funct. 2010 Aug;215(2):129-40. doi: 10.1007/s00429-010-0276-7. Epub 2010 Sep 21.


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