<h3>Introduction</h3> NeuroQuant (NQ) is the first FDA-approved medical software to automate and standardize the analysis of brain MRI volumetrics. Such measurements may hold significant value in diagnostic settings by reducing the subjectivity of neuroradiological interpretations. However, NQ reports currently lack any accompanying clinical interpretation, thus limiting its clinical utility. Therefore, identifying reliable cognitive correlates of NQ volumetric data is an important target of investigation in order to enhance clinical applicability. Using NQ data in this way may be particularly valuable within comprehensive assessments aimed at characterizing age-related changes in neuropsychological functioning – one of the overarching aims of our broader though still nascent NQ research program. This poster will provide a conceptual and methodological overview of our NQ program, including a proposed investigation into how volumetric measurements in certain medial-temporal subregions, namely hippocampus, parahippocampus, and entorhinal cortex, predict specific auditory-verbal and visuospatial memory processes commonly assessed in clinical evaluations (i.e., encoding, retrieval, and storage/retention). Though all three regions are heavily intertwined in the processing of memory, previous research suggest these regions may be differentially involved in particular memory processes. However, this has not been examined using standardized volumetric measurements. We present results from a preliminary correlational analysis focused on the association between NQ data from those medial temporal regions and different levels of just auditory memory function in a small, mixed older adult clinical sample. We expect all three brain regions to be differentially associated with the encoding, retrieval, and storage levels of auditory memory. This particular question has been prioritized given its potential value in enhancing dementia/memory assessments, specifically for Alzheimer's disease (AD). Understanding the associations between key brain structures and different types of memory function will aid in the development of more robust and multi-faceted AD diagnostic protocols that incorporate NQ data. <h3>Methods</h3> Subjects are comprised of a mixed clinical sample of older adults who have undergone both neuropsychological testing and structural brain MRI+NQ as part of a comprehensive clinical evaluation in the McLean Hospital Memory Disorders Assessment Clinic. We will apply linear mixed effects models to investigate the association between NQ-derived volumetric measurements in three medial temporal regions across both hemispheres (hippocampus, parahippocampus, and entorhinal cortex) and different levels of verbal and visuospatial memory function (encoding/registration, retrieval, and storage/retention) measured by the California Verbal Learning Test (CVLT-II), Logical Memory (LM), and Rey Complex Figure Test (RCFT). For the current preliminary analysis, however, we present a more narrowly focused bivariate correlational analysis (Spearman rank-order) of CVLT-II data in a small subset of patients (N=6), with NQ data being aggregated across hemispheres. Analyses were performed using R (version 4.1.1). <h3>Results</h3> Six patients (5 female) ranged in age from 72 to 83 years, with an average of 15.5 ± 3.5 years of education. Patients had a mix of major depressive disorder, generalized anxiety disorder, bipolar II disorder, and mild/major neurocognitive diagnoses, with all but 1 patient having comorbid diagnoses. There was a positive correlation between CVLT-II long delay free recall – a measure of memory retrieval – and total entorhinal cortex volume that trended towards significance (ρ=0.79, <i>p</i>=0.059). There were no other significant correlations (all <i>p</i> > 0.1). <h3>Conclusions</h3> The marginally significant correlation between CVLT-II long delay free recall and entorhinal cortex volume suggests this region may be more strongly related to delayed retrieval compared to other memory processes. However, with such a small subject size, these findings must be viewed as highly preliminary and interpreted accordingly. Nonetheless, they support our plan to pursue more sophisticated analyses using linear mixed effects models once more data are available. Validating the associations between structural memory hubs and cognitive function with cutting-edge NQ imaging software lays the groundwork for future projects implementing NQ as a standard of practice in the clinical assessment of age-related cognitive disorders. Additional planned research questions will also be discussed, such as examining associations between cognitive data from commonly used neuropsychological tests and NQ volumetrics in specific connectivity hubs that are critical to broader neural network function. <h3>This research was funded by</h3> Unfunded.
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