Affiliation:
1. Diagnostic Imaging Unit University Hospital Rome Tor Vergata Rome Italy
2. Department of Biomedicine and Prevention University of Rome Tor Vergata Rome Italy
3. Neuroradiology Unit University Hospital of Rome Tor Vergata Rome Italy
4. Clinical Infectious Diseases Unit University Hospital of Rome Tor Vergata Rome Italy
5. Department of Systems Medicine University of Rome Tor Vergata Rome Italy
6. Instituto de Neurociencias Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández Sant Joan d'Alacant Spain
7. IRCSS San Raffaele Cassino Frosinone Italy
8. Athinoula A. Martinos Center for Biomedical Imaging Harvard Medical School Boston Massachusetts USA
Abstract
AbstractDiffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) have been previously used to explore white matter related to human immunodeficiency virus (HIV) infection. While DTI and DKI suffer from low specificity, the Combined Hindered and Restricted Model of Diffusion (CHARMED) provides additional microstructural specificity. We used these three models to evaluate microstructural differences between 35 HIV‐positive patients without neurological impairment and 20 healthy controls who underwent diffusion‐weighted imaging using three b‐values. While significant group effects were found in all diffusion metrics, CHARMED and DKI analyses uncovered wider involvement (80% vs. 20%) of all white matter tracts in HIV infection compared with DTI. In restricted fraction (FR) analysis, we found significant differences in the left corticospinal tract, middle cerebellar peduncle, right inferior cerebellar peduncle, right corticospinal tract, splenium of the corpus callosum, left superior cerebellar peduncle, left superior cerebellar peduncle, pontine crossing tract, left posterior limb of the internal capsule, and left/right medial lemniscus. These are involved in language, motor, equilibrium, behavior, and proprioception, supporting the functional integration that is frequently impaired in HIV‐positivity. Additionally, we employed a machine learning algorithm (XGBoost) to discriminate HIV‐positive patients from healthy controls using DTI and CHARMED metrics on an ROIwise basis, and unique contributions to this discrimination were examined using Shapley Explanation values. The CHARMED and DKI estimates produced the best performance. Our results suggest that biophysical multishell imaging, combining additional sensitivity and built‐in specificity, provides further information about the brain microstructural changes in multimodal areas involved in attentive, emotional and memory networks often impaired in HIV patients.
Subject
Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy
Cited by
1 articles.
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