User profiles for S. Keilholz

Shella Keilholz

Biomedical Engineering, Emory University/ Georgia Institute of Technology
Verified email at bme.gatech.edu
Cited by 8174

Dynamic functional connectivity: promise, issues, and interpretations

…, J Gonzalez-Castillo, DA Handwerker, S Keilholz… - Neuroimage, 2013 - Elsevier
… Presently, a typical acquisition in humans includes a single scan of approximately 5–10
min using a repetition time (TR) in the range of 2–3 s that allows for whole-brain coverage with …

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

SD Keilholz - Brain connectivity, 2014 - liebertpub.com
Keilholz and associates utilized simple thresholding to separate the time courses from
somatosensory areas, motor cortex, and the caudate putamen in the anesthetized rat into three …

[HTML][HTML] Considerations for resting state functional MRI and functional connectivity studies in rodents

…, JK Grooms, S Shakil, SD Keilholz - Frontiers in …, 2015 - frontiersin.org
… For example, hemodynamic responses were longer in latency, from 2 s in awake to 4 s in …
For a human study with a 2 s TR that is low-pass filtered with a cutoff at 0.1 Hz, the maximum …

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

…, J Autio, P LeVan, S Keilholz… - Journal of Cerebral …, 2016 - journals.sagepub.com
… The percent signal change ((S min −S max )/S mean ) of each pulse was calculated from …
using a similar QPP algorithm as Shella Keilholz's group previously. The QPP algorithm uses a …

Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans

…, H Schwarb, EH Schumacher, L Barsalou, SD Keilholz - Neuroimage, 2011 - Elsevier
… Correlation time-course for 20 s window length is very similar to those obtained from
window lengths ranging from 5 s to 40 s (cc > 0.8). Therefore it is not necessary to have exact …

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

S Shakil, CH Lee, SD Keilholz - Neuroimage, 2016 - Elsevier
… with state durations from 20 TRs (≈ 13 s) to 130 TRs (≈ 84 s).The formation of these five SNs
… The state durations for the SNs ranged from ≈ 13 s to ≈ 129 s, while the window lengths …

Infraslow LFP correlates to resting-state fMRI BOLD signals

…, GJ Thompson, ME Magnuson, D Jaeger, S Keilholz - Neuroimage, 2013 - Elsevier
s increments (TR = 0.5 s, from − 9.5 s to 9.5 s). The BOLD/infraslow LFP correlation coefficients
were measured from voxels near the recording electrode and plotted as a function of time …

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

…, LD Tripp, EH Schumacher, SD Keilholz - Human brain …, 2013 - Wiley Online Library
… times from 0 s to 9 s. The 20 bin centroids are exponentially distributed from 0 s to 9 s. (a) …
at peristimulus times of −6 s, −4 s and −4 s to 8 s, correlation at peristimulus times of −16 …

Comparison of α-chloralose, medetomidine and isoflurane anesthesia for functional connectivity mapping in the rat

…, SM LaConte, SJ Peltier, X Hu, SD Keilholz - Magnetic resonance …, 2010 - Elsevier
… One of the drawbacks of previous functional connectivity studies in the rodent is that they
were performed with relatively low temporal resolution [repetition time (TR)=1.5–2 s] without …

A parsimonious description of global functional brain organization in three spatiotemporal patterns

…, BT Thomas Yeo, LQ Uddin, SD Keilholz - Nature …, 2022 - nature.com
Resting-state functional magnetic resonance imaging (MRI) has yielded seemingly
disparate insights into large-scale organization of the human brain. The brain’s large-scale …