Mode-based morphometry: A multiscale approach to mapping human neuroanatomy.

Voxel-based morphometry (VBM) and surface-based morphometry (SBM) are two widely used neuroimaging techniques for investigating brain anatomy. These techniques rely on statistical inferences at individual points (voxels or vertices), clusters of points, or a priori regions-of-interest. They are powerful tools for describing brain anatomy, but offer little insights into the generative processes that shape a particular set of findings. Moreover, they are restricted to a single spatial resolution scale, precluding the opportunity to distinguish anatomical variations that are expressed across multiple scales. Drawing on concepts from classical physics, here we develop an approach, called mode-based morphometry (MBM), that can describe any empirical map of anatomical variations in terms of the fundamental, resonant modes-eigenmodes-of brain anatomy, each tied to a specific spatial scale. Hence, MBM naturally yields a multiscale characterization of the empirical map, affording new opportunities for investigating the spatial frequency content of neuroanatomical variability. Using simulated and empirical data, we show that the validity and reliability of MBM are either comparable or superior to classical vertex-based SBM for capturing differences in cortical thickness maps between two experimental groups. Our approach thus offers a robust, accurate, and informative method for characterizing empirical maps of neuroanatomical variability that can be directly linked to a generative physical process.

Mode-based morphometry: A multiscale approach to mapping human neuroanatomy.

Voxel-based morphometry (VBM) and surface-based morphometry (SBM) are two widely used neuroimaging techniques for investigating brain anatomy. These techniques rely on statistical inferences at individual points (voxels or vertices), clusters of points, or a priori regions-of-interest. They are powerful tools for describing brain anatomy, but offer little insights into the generative processes that shape a particular set of findings. Moreover, they are restricted to a single spatial resolution scale, precluding the opportunity to distinguish anatomical variations that are expressed across multiple scales. Drawing on concepts from classical physics, here we develop an approach, called mode-based morphometry (MBM), that can describe any empirical map of anatomical variations in terms of the fundamental, resonant modes--eigenmodes--of brain anatomy, each tied to a specific spatial scale. Hence, MBM naturally yields a multiscale characterization of the empirical map, affording new opportunities for investigating the spatial frequency content of neuroanatomical variability. Using simulated and empirical data, we show that the validity and reliability of MBM are either comparable or superior to classical vertex-based SBM for capturing differences in cortical thickness maps between two experimental groups. Our approach thus offers a robust, accurate, and informative method for characterizing empirical maps of neuroanatomical variability that can be directly linked to a generative physical process.

Pulmonary embolisms and infections after renal trauma.

INTRODUCTION: The objective of this study was to describe and evaluate the management of patients with renal trauma and their complications at the Department of Urology at Aarhus University Hospital (AUH), Denmark. METHODS: All patients diagnosed with renal injury due to trauma and with contact to the Department of Urology at the AUH, Denmark, between March 2016 and March 2021 were included. Patients were identified by the International Classification of Diseases, Tenth version, code and data obtained from electronic patient records. RESULTS: A total of 58 patients were identified. The median age was 33 years (7-95 years) and the median length of hospitalisation was five days (range: 0-52 days). All patients were evaluated with a multiphase computed tomography upon admission. Injuries to the kidney were graded using the American Association for the Surgery of Trauma kidney injury scale. Twelve percent had grade I injury, 26% had grade II injury, 26% had grade III injury, 36% had grade IV injury and 3% had grade V injury. In the acute phase, all patients were managed non-operatively. Early complications were found in 24% of patients. Pulmonary embolism was diagnosed in 7%. Furthermore, 7% had an infection as a late complication and all of these patients had also had an early infection. A total of 60% were followed up with a renal-scintigraphy three months after their renal trauma. This examination had no consequence for any of the patients. CONCLUSIONS: No patients died due to the renal trauma. However, many experienced complications in terms of infections and pulmonary embolisms. These data support earlier findings and suggest that a renal scintigraphy after renal traumas may be obsolete. FUNDING: None. TRIAL REGISTRATION: Not relevant.