Mark Bolding

Dr. Mark Bolding

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2014 in Advanced Functional Materials
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Journal Article
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TMThomas Macher
Thomas Macher
JTJohn Totenhagen
John Totenhagen
JSJennifer Sherwood
Jennifer Sherwood
YQYing Qin
Ying Qin
DGDemet Gurler
Demet Gurler
Yuping BaoYuping Bao
Yuping Bao

23 September 2016 in Nanoscale
Verified
Journal Article
Closed access
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JSJ. Sherwood
J. Sherwood
KLK. Lovas
K. Lovas
MRM. Rich
M. Rich
QYQ. Yin
Q. Yin
KLK. Lackey
K. Lackey
Yuping BaoYuping Bao
Yuping Bao
Recent research efforts about iron oxide nanoparticles has focused on the development of iron oxide-based T1 contrast agents for magnetic resonance imaging (MRI), such as ultrasmall iron oxide nanospheres (USNPs <4 nm) and ultrathin nanowires (NW, diameter <4 nm). In this paper, we report the cellular uptake behaviors of these two types of ultrasmall scale nanostructures on HepG2 cells. Both these two nanostructures were functionalized with tannic acid and their physical and chemical properties were carefully analyzed before cellular tests. Both USNPs and NWs exhibited strong paramagnetic signals, a property suitable for T1 MRI contrast agents. The distinct shapes also caused much difference in their cellular uptake behaviors. Specifically, the uptake of USNPs was five times higher than that of NWs after 72 hours incubation. The shape-dependent cellular uptake can potentially lead to different blood circulation times, and subsequently different applications of these two types of ultrasmall nanostructures.

29 September 2020 in Annals of Clinical and Translational Neurology
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Journal Article
Open access
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AGAdam M. Goodman
Adam M. Goodman
JAJane B. Allendorfer
Jane B. Allendorfer
ABAndrew S. Blum
Andrew S. Blum
MBMark Bolding
Mark Bolding
SCStephen Correia
Stephen Correia
JSJerzy P. Szaflarski
Jerzy P. Szaflarski
Objective: To further evaluate the relationship between the clinical profiles and limbic and motor brain regions and their connecting pathways in psychogenic nonepileptic seizures (PNES). Neurite Orientation Dispersion and Density Indices (NODDI) multicompartment modeling was used to test the relationships between tissue alterations in patients with traumatic brain injury (TBI) and multiple psychiatric symptoms.Methods: The sample included participants with prior TBI (TBI; N = 37) but no PNES, and with TBI and PNES (TBI + PNES; N = 34). Participants completed 3T Siemens Prisma MRI high angular resolution imaging diffusion protocol. Statistical maps, including fractional anisotropy (FA), mean diffusivity (MD), neurite dispersion [orientation dispersion index (ODI)] and density [intracellular volume fraction (ICVF), and free water (i.e., isotropic) volume fraction (V‐ISO)] signal intensity, were generated for each participant. Linear mixed‐effects models identified clusters of between‐group differences in indices of white matter changes. Pearson’s r correlation tests assessed any relationship between signal intensity and psychiatric symptoms.Results: Compared to TBI, TBI + PNES revealed decreases in FA, ICVF, and V‐ISO and increases in MD for clusters within cingulum bundle, uncinate fasciculus, fornix/stria terminalis, and corticospinal tract pathways (cluster threshold α = 0.05). Indices of white matter changes for these clusters correlated with depressive, anxiety, PTSD, psychoticism, and somatization symptom severity (FDR threshold α = 0.05). A follow‐up within‐group analysis revealed that these correlations failed to reach the criteria for significance in the TBI + PNES group alone.Interpretation: The results expand support for the hypothesis that alterations in pathways comprising the specific PNES network correspond to patient profiles. These findings implicate myelin‐specific changes as possible contributors to PNES, thus introducing novel potential treatment targets.

28 July 2017 in Nanoscale
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Journal Article
Closed access
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JSJ. Sherwood
J. Sherwood
MRM. Rich
M. Rich
KLK. Lovas
K. Lovas
JWJ. Warram
J. Warram
MBMark Bolding
Mark Bolding
Yuping BaoYuping Bao
Yuping Bao
MRI-visible nanoclusters with T1 enhancement, elongated blood circulation time, tumor localization, and capability of diverse drug encapsulation.

5 May 2020 in Journal of Controlled Release
Verified
Journal Article
Closed access
MRMegan C. Rich
Megan C. Rich
JSJennifer Sherwood
Jennifer Sherwood
ABAundrea F. Bartley
Aundrea F. Bartley
QWQuentin A. Whitsitt
Quentin A. Whitsitt
MLMagdelene Lee
Magdelene Lee
MBMark Bolding
Mark Bolding

29 June 2022 in Frontiers in Neuroanatomy
Verified
Journal Article
Open access
DJDaniel Janko
Daniel Janko
KTKristina Thoenes
Kristina Thoenes
DPDahye Park
Dahye Park
WWW. R. Willoughby
W. R. Willoughby
MHMeredith Horton
Meredith Horton
MBMark Bolding
Mark Bolding
Multiple studies have demonstrated finger somatotopy in humans and other primates using a variety of brain mapping techniques including functional magnetic resonance imaging (fMRI). Here, we review the literature to better understand the reliability of fMRI for mapping the somatosensory cortex. We have chosen to focus on the hand and fingers as these areas have the largest representation and have been the subject of the largest number of somatotopic mapping experiments. Regardless of the methods used, individual finger somatosensory maps were found to be organized across Brodmann areas (BAs) 3b, 1, and 2 in lateral-to-medial and inferior-to-superior fashion moving from the thumb to the pinky. However, some consistent discrepancies are found that depend principally on the method used to stimulate the hand and fingers. Therefore, we suggest that a comparative analysis of different types of stimulation be performed to address the differences described in this review.