PennSIVE News
Browse featured publications and news from the Penn Statistics in Imaging
and Visualization Endeavor (PennSIVE) research team.
Announcement
Welcoming our new Data Analyst, Elizabeth Horwath!
April 24, 2024
Dr. Horwath is a recent graduate of Temple University with a PhD in Psychology. She completed her undergraduate degree in Psychology at Alfred University in December 2017. She will be […]
Award
Russell Shinohara Selected for the 2023 Mortimer Spiegelman Award
September 15, 2023
Russell “Taki” Shinohara, PhD was selected as the 2023 Mortimer Spiegelman Award recipient by the Applied Public Health Statistics Section of the American Public Health Association (APHA). Each year, the APHA […]
Publication
Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging
November 5, 2021
A key factor in designing randomized clinical trials is the sample size required to achieve a particular level of power to detect the benefit of a treatment. Sample size calculations […]
Publication
Fully Automated Detection of Paramagnetic Rims in Multiple Sclerosis Lesions on 3T Susceptibility-Based MR Imaging
October 5, 2021
The presence of a paramagnetic rim around a white matter lesion has recently been shown to be a hallmark of a particular pathological type of multiple sclerosis lesion. Increased prevalence […]
Publication
Removal of Scanner Effects in Covariance Improves Multivariate Pattern Analysis in Neuroimaging Data
October 5, 2021
To acquire larger samples for answering complex questions in neuroscience, researchers have increasingly turned to multi-site neuroimaging studies. However, these studies are hindered by differences in images acquired across multiple […]
Publication
A simple permutation-based test of intermodal correspondence
October 4, 2021
While many findings in neuroimaging studies pertain to multiple imaging modalities, statistical methods underlying intermodal comparisons have varied. In our recently published paper in Human Brain Mapping, we propose the […]
Publication
Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data
August 15, 2020
While aggregation of neuroimaging datasets from multiple sites and scanners can yield increased statistical power, it also presents challenges due to systematic scanner effects. This unwanted technical variability can introduce […]
Publication
The extent and drivers of gender imbalance in neuroscience reference lists
June 19, 2020
Like many scientific disciplines, neuroscience has increasingly attempted to confront pervasive gender imbalances within the field. While much of the conversation has centered around publishing and conference participation, recent research […]
Publication
Automatic Threshold Detection for Classification of Lesions
May 16, 2020
Total brain white matter lesion volume is the most widely established MRI outcome measure in studies of multiple sclerosis. To estimate white matter lesion volume, there are a number of […]
Publication
A local group differences test for subject-level multivariate density neuroimaging outcomes
December 26, 2019
A great deal of neuroimaging research focuses on voxel-wise analysis or segmentation of damaged tissue, yet many diseases are characterized by diffuse or non-regional neuropathology. In simple cases, these processes […]
Publication
Distance-Based Analysis of Variance for Brain Connectivity
July 27, 2019
The field of neuroimaging dedicated to mapping connections in the brain is increasingly being recognized as key for understanding neurodevelopment and pathology. Networks of these connections are quantitatively represented using […]
Publication
Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Inference Procedure
June 8, 2019
Spatial extent inference (SEI) is widely used across neuroimaging modalities to adjust for multiple comparisons when studying brain-phenotype associations that inform our understanding of disease. Recent studies have shown that […]
Publication
Detecting Black Holes in Multiple Sclerosis
October 16, 2018
Magnetic resonance imaging (MRI) is crucial for in vivo detection and characterization of white matter lesions (WML) in multiple sclerosis (MS). The most widely established MRI outcome measure is the […]
Publication
Faster family-wise error control for neuroimaging with a parametric bootstrap
October 1, 2018
In neuroimaging, hundreds to hundreds of thousands of tests are performed across a set of brain regions or all locations in an image. Recent studies have shown that the most […]
Publication
Automated Integration of Multimodal MRI for the Probabilistic Detection of the Central Vein Sign in White Matter Lesions
September 13, 2018
The central vein sign is a promising MR imaging diagnostic biomarker for multiple sclerosis. Recent studies have demonstrated that patients with MS have higher proportions of white matter lesions with […]
Publication
The landscape of NeuroImage-ing research
September 6, 2018
As the field of neuroimaging grows, it can be difficult for scientists within the field to gain and maintain a detailed understanding of its ever-changing landscape. While collaboration and citation […]
Publication
Interpretable High-Dimensional Inference Via Score Projection With an Application in Neuroimaging
August 7, 2018
In the fields of neuroimaging and genetics, a key goal is testing the association of a single outcome with a very high-dimensional imaging or genetic variable. Often, summary measures of […]
Publication
Detecting Multiple Sclerosis Lesions via Intermodal Coupling Analysis
March 8, 2018
Magnetic resonance imaging (MRI) is crucial for in vivo detection and characterization of white matter lesions (WML) in multiple sclerosis. While WML have been studied for over two decades using […]
Publication
An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions
February 22, 2018
This study introduces a novel technique for counting pathologically distinct lesions using cross-sectional data, and demonstrates its ability to recover obscured longitudinal information. The proposed count works by incorporating information […]
Publication
Harmonization of cortical thickness measurements across scanners
February 15, 2018
With the proliferation of multi-site neuroimaging studies, there is a greater need for handling non-biological variance introduced by differences in MRI scanners and acquisition protocols. Such unwanted sources of variation, […]
Publication
Harmonization of multi-site diffusion tensor imaging data
August 18, 2017
Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI) technique used for studying microstructural changes in the white matter. As with many other imaging modalities, DTI images suffer […]
Publication
Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis
June 22, 2017
MR imaging can be used to measure structural changes in the brains of individuals with multiple sclerosis and is essential for diagnosis, longitudinal monitoring, and therapy evaluation. The North American […]
Publication
Predicting Degree and Spatial Pattern of MS Lesion Tissue Recovery
July 15, 2016
PREVAIL: In this work, our lab developed a model for predicting the degree and spatial pattern of MS lesion tissue recovery. The model is based solely on lesion presentation at […]