Arrow Research search

Author name cluster

Daniel E. Huddleston

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

2 papers
1 author row

Possible papers

2

YNICL Journal 2020 Journal Article

Increased iron-deposition in lateral-ventral substantia nigra pars compacta: A promising neuroimaging marker for Parkinson's disease

  • Naying He
  • Jason Langley
  • Daniel E. Huddleston
  • Shengdi Chen
  • Pei Huang
  • Huawei Ling
  • Fuhua Yan
  • Xiaoping Hu

BACKGROUND: To date there are no validated MRI biomarkers to assist diagnosis of Parkinson's disease (PD). Our aim was to investigate PD related iron changes in the substantia nigra pars compacta (SNpc) as defined by neuromelanin-sensitive MR contrast. METHODS: * values in both the whole SNpc and the overlap volume were compared between PD and control groups, and correlated with clinical features for PD participants. Finally, the diagnostic performance of the SNpc overlap percentage was evaluated using ROC analysis. RESULTS: * values in the whole SNpc or the overlap volume were less effective. CONCLUSION: * mapping and neuromelanin in the substantia nigra pars compacta has the potential to be a neuroimaging biomarker for diagnosing Parkinson's disease.

YNIMG Journal 2015 Journal Article

A multicontrast approach for comprehensive imaging of substantia nigra

  • Jason Langley
  • Daniel E. Huddleston
  • Xiangchuan Chen
  • Jan Sedlacik
  • Nishant Zachariah
  • Xiaoping Hu

We characterize the contrast behavior of substantia nigra (SN) in both magnetization transfer (MT) imaging, which is believed to be sensitive to neuromelanin (NM), and susceptibility weighted imaging (SWI). Images were acquired with a MT prepared dual echo gradient echo sequence. The first echo was taken as the MT contrast image and the second was used to generate the SWI image. SN volumes were segmented from these two types of images using a thresholding method. The spatial and signal characteristics of the extracted SWI and MT volumes were compared. Both images showed the presence of SN but the volumes of the SN identified in the two are spatially incongruent. The MT volume was more caudal than the SWI volume and with only a 12% overlap between the two volumes. Considering the SN volumes in each hemisphere separately, the average distances between the centers of mass of the volumes from the two types images are 5. 1±1. 1mm and 4. 1±1. 2mm, respectively. The frequency offsets (homodyne filtered phase/echo time) for the volumes derived from MT (NM) images and SWI images are 0. 09±0. 32radians/s and −1. 12±0. 57radians/s (p <0. 0001), respectively. The MT contrasts for the two volumes are 0. 16±0. 02 and 0. 10±0. 03 (p <0. 001), respectively. Our results indicate that the two contrasts are sensitive to different portions of the SN, with MT seeing the more caudal portion of the SN than SWI, likely due to variations of NM and iron content in the SN. Despite the small overlap, these regions are complementary. Our results provide a new understanding of the contrast behavior of the SN in the two imaging approaches commonly used to image it and indicate that using both may yield a more comprehensive visualization of the SN.