Barbara B. Bendlin, PhD – Slide of the Week

Alzheimer’s disease is characterized by accumulation of amyloid and neurofibrillary tangles, and this pathology can be detected using neuroimaging or fluid biomarkers prior to the development of dementia. The Alzheimer’s disease process also involves neurodegeneration which eventually leads to cognitive decline and dementia, however typical approaches for measuring neurodegeneration (such as T1-weighted imaging), may not be sensitive to neurodegeneration in the asymptomatic disease stage.

James Li, PhD – Slide of the Week

There is substantial heterogeneity in the development of depression from adolescence into adulthood. Yet, little is known about the risk factors underlying its various patterns of development. For instance, despite the discovery of genetic variants for depression, these discoveries have not accounted for the high degree of genetic covariation between multiple disorders, nor have they been applied to disambiguate its heterogeneous developmental presentations.

Bradley T Christian, PhD – Slide of the Week

Adults with Down syndrome (DS) are predisposed to Alzheimer’s disease (AD) and a characterization of glucose metabolism change throughout AD progression has yet to be performed in this population. Using FDG PET, regional glucose metabolism was evaluated across groups of cognitively stable DS (CS-DS), DS with mild cognitive impairment or Alzheimer’s disease (MCI-DS/AD), and healthy non-DS sibling controls.

Andrew Alexander, PhD – Slide of the Week

Demonstration of the ability of MPnRAGE to correct for severe motion artifacts in a 7 year old girl.  Retrospective motion correction greatly reduced motion-induced blurring in both  structural T1-weighted images and quantitative T1 maps.  The correction greatly improves the reliability of brain imaging measurements in children.  The plots indicate the estimated amount of head motions that were corrected.

Donna Werling, PhD – Slide of the Week

Gene expression levels vary across developmental stage, cell type, and region in the brain. Genomic variants also contribute to the variation in expression, and some neuropsychiatric disorder loci may exert their effects through this mechanism. To investigate these relationships, we present BrainVar, a unique resource of paired whole-genome and bulk tissue RNA sequencing from the dorsolateral prefrontal cortex of 176 individuals across prenatal and post- natal development.

Daifeng Wang, PhD – Slide of the Week

The molecular mechanisms and functions in complex biological systems currently remain elusive. Recent high-throughput techniques, such as next-generation sequencing, have generated a wide variety of multiomics datasets that enable the identification of biological functions and mechanisms via multiple facets. However, integrating these large-scale multiomics data and discovering functional insights are, nevertheless, challenging tasks.

Houri K. Vorperian, PhD – Slide of the Week

We present a unified heat kernel smoothing framework for modeling 3D anatomical surface data extracted from medical images. Due to image acquisition and preprocessing noises, it is expected the medical imaging data is noisy. The surface data of the anatomical structures is regressed using the weighted linear combination of Laplace-Beltrami (LB) eigenfunctions to smooth out noisy data and perform statistical analysis.