Abstract
To date, neuropsychological assessments have not capitalized on the enormous strides made in brain imaging during the twenty-first century. Fully incorporating advanced neuroimaging methods with clinical neuropsychological assessment data has great potential to enhance the understanding of neuropsychiatric and neurological sequalae in children with brain injury and disease. Using commonly available MRI sequences, readily available in any clinical setting, this article demonstrates a practical approach for deriving and incorporating quantitative image analyses of brain pathology with neuropsychological outcome.
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Adapted from Howes et al. (2023), Creative Commons CC BY
Adapted from Catani (2022) and used with permission from Elsevier
Adapted from Yeo et al. (2011). The deformation mapping from the participant in this case study is depicted in the lower right image where the blue reflects size reductions in the temporal lobe area and other regions. By viewing these changes and those in Table 2 and the quantitative FLAIR lesion burden (Fig. 5; Table 2), various inferences can be made as to what networks are affected
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Notes
Although there are other quantification techniques that tap diffusion and spectroscopic characteristics of brain parenchyma, those will not be addressed in the current case study, which will focus on volumetric analyses.
Bash and Tanenbaum (2021) provide the following additional synopsis on available quantitative neuroimaging methods: “CorTechs.ai (NeuroQuant™) and icometrix (icobrain™) dominate the commercial quantitative volumetric space in neuroradiology with numerous FDA-approved products for MRI and CT. Other companies with FDA-cleared products include Quantib (qQuant™), Corticometrics (THINQ™), and Siemens Brain Morphometry (AI-Rad Companion Brain MR for Morphometry Analysis™). SmartSoft’s CoLumbo™ has a 510Kpending spine product that is currently cleared for marketing overseas. In addition to commercial offerings, many academic institutions have developed their own volumetric software or use free research-oriented platforms (e.g., FreeSurfer™, Voxel Based Morphometery™, Volbrain™, Brain MRI Cloud™, FastSurfer™, and FSL™) p. 41.”.
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Jantz, P.B., Bigler, E.D. A Practical Approach to Incorporating Quantitative Neuroimaging Findings into Pediatric Neuropsychological Test Interpretation. J Pediatr Neuropsychol (2024). https://doi.org/10.1007/s40817-023-00155-3
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DOI: https://doi.org/10.1007/s40817-023-00155-3