Regions Of Interest Volume Research Articles

Cerebral blood flow is associated with markers of neurodegeneration in Huntington’s disease

IntroductionThe ultimate cause of neuronal death in Huntington's disease (HD) is still uncertain. Apart from impairment in systems handling abnormal proteins, other mechanisms might contribute to neurodegeneration and progression of HD. Decreased cerebral blood flow (CBF) has been described in other neurodegenerative disorders and may play a role in HD. ObjectivesTo investigate CBF changes in HD gene carriers. MethodsA group of 39 HD gene carriers (18 premanifest and 21 manifest HD) and 16 controls underwent a comprehensive clinical evaluation and a brain magnetic resonance imaging protocol that included pseudo-continuous arterial spin labeling to quantify CBF. Regions of interest (ROI) analyses were performed to compare CBF in controls vs premanifest HD vs manifest HD. Correlation analyses were performed to ascertain the relationship between CBF and clinical and biomarkers data. ResultsWe found a decrease in CBF in bilateral caudate and putamen of patients with manifest HD in comparison with controls. CBF of premanifest HD carriers in the same ROIs was midway between controls and the HD patients, with differences not reaching statistical significance. Lower CBF in caudate and putamen was associated with worse motor symptoms, functionality, and cognitive performance. CBF was also associated with markers of neurodegeneration: higher CBF in caudate and putamen significantly correlated to higher volumes in the same ROI and to lower levels of neurofilament light chain. ConclusionAs CBF changes in caudate and putamen nuclei were associated with markers of neurodegeneration and with clinical outcomes, decreased CBF and oxygen supply could emerge as a relevant mechanism contributing to degeneration in HD.

Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural network.

PurposeContouring clinical target volume (CTV) from medical images is an essential step for radiotherapy (RT) planning. Magnetic resonance imaging (MRI) is used as a standard imaging modality for CTV segmentation in cervical cancer due to its superior soft‐tissue contrast. However, the delineation of CTV is challenging as CTV contains microscopic extensions that are not clearly visible even in MR images, resulting in significant contour variability among radiation oncologists depending on their knowledge and experience. In this study, we propose a fully automated deep learning–based method to segment CTV from MR images.MethodsOur method begins with the bladder segmentation, from which the CTV position is estimated in the axial view. The superior–inferior CTV span is then detected using an Attention U‐Net. A CTV‐specific region of interest (ROI) is determined, and three‐dimensional (3‐D) blocks are extracted from the ROI volume. Finally, a CTV segmentation map is computed using a 3‐D U‐Net from the extracted 3‐D blocks.ResultsWe developed and evaluated our method using 213 MRI scans obtained from 125 patients (183 for training, 30 for test). Our method achieved (mean ± SD) Dice similarity coefficient of 0.85 ± 0.03 and the 95th percentile Hausdorff distance of 3.70 ± 0.35 mm on test cases, outperforming other state‐of‐the‐art methods significantly (p‐value < 0.05). Our method also produces an uncertainty map along with the CTV segmentation by employing the Monte Carlo dropout technique to draw physician's attention to the regions with high uncertainty, where careful review and manual correction may be needed.ConclusionsExperimental results show that the developed method is accurate, fast, and reproducible for contouring CTV from MRI, demonstrating its potential to assist radiation oncologists in alleviating the burden of tedious contouring for RT planning in cervical cancer.

Inconsistencies in atlas-based volumetric measures of the human nucleus basalis of Meynert: A need for high-resolution alternatives

The nucleus basalis of Meynert (nbM) is the major source of cortical acetylcholine (ACh) and has been related to cognitive processes and to neurological disorders. However, spatially delineating the human nbM in MRI studies remains challenging. Due to the absence of a functional localiser for the human nbM, studies to date have localised it using nearby neuroanatomical landmarks or using probabilistic atlases. To understand the feasibility of MRI of the nbM we set our four goals; our first goal was to review current human nbM region-of-interest (ROI) selection protocols used in MRI studies, which we found have reported highly variable nbM volume estimates. Our next goal was to quantify and discuss the limitations of existing atlas-based volumetry of nbM. We found that the identified ROI volume depends heavily on the atlas used and on the probabilistic threshold set. In addition, we found large disparities even for data/studies using the same atlas and threshold. To test whether spatial resolution contributes to volume variability, as our third goal, we developed a novel nbM mask based on the normalized BigBrain dataset. We found that as long as the spatial resolution of the target data was 1.3 mm isotropic or above, our novel nbM mask offered realistic and stable volume estimates. Finally, as our last goal we tried to discern nbM using publicly available and novel high resolution structural MRI ex vivo MRI datasets. We find that, using an optimised 9.4T quantitative T2⁎ ex vivo dataset, the nbM can be visualised using MRI. We conclude caution is needed when applying the current methods of mapping nbM, especially for high resolution MRI data. Direct imaging of the nbM appears feasible and would eliminate the problems we identify, although further development is required to allow such imaging using standard (f)MRI scanning.

Changes in Facial Soft Tissues After Mandibular Angle Ostectomy Based on 3-Dimensional Measurement: A Clinical Study

A limited number of clinical studies have focused on the changing trends of facial soft tissue after mandibular angle ostectomy. We conducted this study to investigate the changes in facial muscles and facial soft tissue appearance before and after mandibular angle ostectomy. A single-center retrospective cohort study was conducted on female patients admitted to our hospital for mandibular angle ostectomy between 2019 and 2020. The primary predictor variable was time (preoperative vs 6 months postoperative). The primary outcome variables were surface area and total volume of the manually delineated region of interest (ROI) for the masseter and temporalis muscles. We utilized computed tomography data to reconstruct 3-dimensional models to delineate muscle ROI and then measure them computationally. Secondary outcome variables were indicators of mandible appearance in soft tissue including bilateral mandibular angle distance, mandibular ramus height, and mandibular angle value. Age, preoperative body mass index, and ostectomy volume were chosen as covariates for correlation analysis with outcome variables. Paired t tests and Pearson correlation analysis were conducted, and P values < .05 were considered statistically significant. A total of 29 female patients (mean age, 26years; range, 18 to 37years) who underwent mandibular angle ostectomy in our hospital were included. The surface area and total volume of the masseter muscle ROI were reduced by 2,541.2±1,925.0mm2 (12.8%; P < .05) and 16,242.4±12,646.8mm3 (18.4%; P < .05), respectively, 6months after surgery. In contrast, the surface area and total volume of the temporalis muscle ROI increased by 6,081.6±6,169.4mm2 (12.0%; P < .05) and 19,273.3±21,666.2mm3 (10.7%; P < .05), respectively. The ostectomy volume showed a correlation coefficient of 0.59 with postoperative masseter ROI change (P < .05). We observed statistically significant levels of atrophy of the masseter muscle ROI and expansion of the temporalis muscle ROI 6months after mandibular angle ostectomy, which may account for appearance changes after surgery. Besides, ostectomy volume positively correlates with postoperative masseter ROI changes. In summary, our study provided empirical evidence illustrating soft tissue alterations in patients who have undergone mandibular angle ostectomy.

P177 Investigating the neural differences in individuals with chronic widespread pain or fibromyalgia and the effect of sleep: a cross-sectional study using data from UK Biobank

Abstract Background/Aims Sleep problems are common in fibromyalgia (FM) and chronic widespread pain (CWP), and may result in similar structural brain changes as those seen in chronic pain. However, the exact neural mechanisms are not fully understood. Studies to date are relatively small and yield conflicting results. The aim of this study is to investigate structural differences in brain regions of interest (ROI) in participants with FM or CWP from UK Biobank, a large-scale biomedical database, compared with healthy controls. We also explore the potential interaction of sleep on the volume of these ROIs, with the hypothesis that low sleep duration with chronic pain amplifies the atrophy seen. Methods Using T1 structural brain imaging data from UK Biobank, we defined cases as those experiencing CWP for 3+ months at the imaging visit or with a diagnosis of FM. Age- and sex-matched controls did not report any pain or chronic pain diagnoses at the imaging visit. Low sleep duration was defined as less than 7 hours of sleep in a 24-hour period in line with the recommended sleep duration of 7-9 hours. 22 brain ROIs were selected based on the existing literature. Pre-processed image-derived phenotype data for grey matter volumes were compared in brain ROIs using 2-way independent ANOVAs in SPSS. Results 429 cases and 429 controls were included: (n = 664/858 [77.4%] female; mean [SD] age 62.0 ± 7.4). The volume of the grey matter in the bilateral insular cortices and anterior parahippocampal gyri, and the volume of the right pallidum, were all significantly smaller in cases compared to controls, p &amp;lt; 0.05. In addition to the significant difference between the controls and cases in the right anterior parahippocampal gyrus, the interaction effect of sleep duration on pain was also significant, p &amp;lt; 0.05. Even though there were no significant differences between the controls and cases in the grey matter volumes of the left posterior division of the cingulate gyrus, bilateral superior frontal gyri, right middle frontal gyrus, left posterior division of the parahippocampal gyrus, right precuneus cortex and left inferior frontal gyrus, pars opercularis, and the volume of the right thalamus, there was a significant interaction effect of sleep duration and pain status on their volumes, p &amp;lt; 0.05. Conclusion This large-scale study confirms differences in grey matter volumes in key brain ROIs in those with chronic pain, highlighting neural changes in individuals suffering from CWP or FM, and a novel interaction of sleep on these areas. Perhaps these changes are due to neurotoxic effects of low sleep duration. Alternatively, low sleep duration and chronic pain may be caused by these structural differences. Evidently, further research is still needed to identify the directionality of these changes and their functional implications through longitudinal functional brain imaging studies, to identify the underlying cause of these structural differences. Disclosure N.W.I.L. Silva: None. A. Soni: None. V. Wanigasekera: None. S. Zhang: None. A.J.W. Wall: None. I. Tracey: None.

Diagnostic Accuracy of Transperineal MRI-Ultrasound Fusion Biopsy at the Introduction Period

Magnetic resonance imaging (MRI) ultrasound fusion biopsy is becoming popular owing to the better detection rate of clinically significant prostate cancer (csPCa). We retrospectively evaluated the accuracy of MRI-targeted biopsy during the period of introduction at a single academic center by comparing findings of its specimen and whole-mount histopathology. Between June 2018 and January 2021, 106 transperineal MRI-ultrasound fusion biopsies using BioJet software were performed. Among the cases, 15 subsequently underwent robotic-assisted laparoscopic radical prostatectomy and were eligible for analysis. This study included all regions of interest (ROIs) with a Prostate Imaging Reporting and Data System v2 category of 3 or greater on pre-biopsy MRI．For each lesion, grade group of MRI-targeted biopsy specimens and prostatectomy specimens were compared. From a total of 25 ROIs identified among 15 males, csPCa was found in 21 (84%) of the concordant locations of prostatectomy specimens. However, MRI-targeted biopsy could diagnose csPCa in only 12 (48%) of them. In the csPCa undetected group, the ROI volume was significantly smaller (median volume 0.23 ml vs 0.40 ml, p＝0.03). We also found that in cases where PCa was not detected through MRI-targeted biopsy, the biopsy sample length was significantly shorter (median length 9 mm vs 17 mm, p＝0.01). Our data suggest that failure of detecting PCa in MRI-targeted biopsy could be due to technical errors at the introduction period of the technique. A sufficient sampling length of 10 mm or more is desirable, especially for small lesions.

A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools.

Background The translation of radiomic models into clinical practice is hindered by the limited reproducibility of features across software and studies. Standardization is needed to accelerate this process and to bring radiomics closer to clinical deployment. Purpose To assess the standardization level of seven radiomic software programs and investigate software agreement as a function of built-in image preprocessing (eg, interpolation and discretization), feature aggregation methods, and the morphological characteristics (ie, volume and shape) of the region of interest (ROI). Materials and Methods The study was organized into two phases: In phase I, the two Image Biomarker Standardization Initiative (IBSI) phantoms were used to evaluate the IBSI compliance of seven software programs. In phase II, the reproducibility of all IBSI-standardized radiomic features across tools was assessed with two custom Italian multicenter Shared Understanding of Radiomic Extractors (ImSURE) digital phantoms that allowed, in conjunction with a systematic feature extraction, observations on whether and how feature matches between program pairs varied depending on the preprocessing steps, aggregation methods, and ROI characteristics. Results In phase I, the software programs showed different levels of completeness (ie, the number of computable IBSI benchmark values). However, the IBSI-compliance assessment revealed that they were all standardized in terms of feature implementation. When considering additional preprocessing steps, for each individual program, match percentages fell by up to 30%. In phase II, the ImSURE phantoms showed that software agreement was dependent on discretization and aggregation as well as on ROI shape and volume factors. Conclusion The agreement of radiomic software varied in relation to factors that had already been standardized (eg, interpolation and discretization methods) and factors that need standardization. Both dependences must be resolved to ensure the reproducibility of radiomic features and to pave the way toward the clinical adoption of radiomic models. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Steiger in this issue. An earlier incorrect version appeared online and in print. This article was corrected on March 2, 2022.

Structural Alteration of Medial Temporal Lobe Subfield in the Amnestic Mild Cognitive Impairment Stage of Alzheimer's Disease.

Objective Volume reduction and structural abnormality is the most replicated finding in neuroimaging studies of Alzheimer's disease (AD). Amnestic mild cognitive impairment (aMCI) is the early stage of AD development. Thus, it is necessary to investigate the link between atrophy of regions of interest (ROIs) in medial temporal lobe, the variation trend of ROI densities and volumes among patients with cognitive impairment, and the distribution characteristics of ROIs in the aMCI group, Alzheimer's disease (AD) group, and normal control (NC) group. Methods 30 patients with aMCI, 16 patients with AD, and 30 NC are recruited; magnetic resonance imaging (MRI) brain scans are conducted. Voxel-based morphometry was employed to conduct the quantitative measurement of gray matter densities of the hippocampus, amygdala, entorhinal cortex, and mammillary body (MB). FreeSurfer was utilized to automatically segment the hippocampus into 21 subregions and the amygdala into 9 subregions. Then, their subregion volumes and total volume were calculated. Finally, the ANOVA and multiple comparisons were performed on the above-mentioned data from these three groups. Results AD had lower GM densities than MCI, and MCI had lower GM densities than NC, but not all of the differences were statistically significant. In the comparisons of AD-aMCI-NC, AD-aMCI, and AD-NC, the hippocampus, amygdala, and entorhinal cortex showed differences in the gray matter densities (p < 0.05); the differences of mammillary body densities were not significant in the random comparison between these three groups (p > 0.05). The hippocampus densities and volumes of the subjects from the aMCI group and the AD group were bilaterally symmetric. The gray matter densities of the right side of the entorhinal cortex inside each group and the hippocampus from the NC group were higher than those of the left side (p < 0.05), and the gray matter densities of the amygdala and mammillary body were bilaterally symmetric in the three groups (p > 0.05). There were no gender differences of four ROIs in the AD, aMCI, and NC groups (p > 0.05). The volume differences of the hippocampus presubiculum-body and parasubiculum manifest no statistical significance (p > 0.05) in the random comparison between these three groups. Volume differences of the left amygdala basal nucleus, the left lateral nucleus, the left cortical amygdala transitional area, the left paravamnion nucleus, and bilateral hippocampal amygdala transition area (HATA) had statistical differences only between the AD group and the NC group (p < 0.05). Conclusion Structural defects of medial temporal lobe subfields were revealed in the aMCI and AD groups. Decreased gray matter densities of the hippocampus, entorhinal cortex, and amygdala could distinguish patients with early stage of AD between aMCI and NC. Volume decline of the hippocampus and amygdala subfields could only distinguish AD between NC.

Numerical Analysis of Transcranial Magnetic Stimulation Application in Patients With Orofacial Pain.

In this paper, we monitored the accuracy of non-navigated application of repetitive Transcranial Magnetic Stimulation (rTMS) in 10 patients suffering from orofacial pain by using functional magnetic resonance (fMRI), computer modeling and numerical simulation. Through a unique process, each fMRI scan was used to define a Region of Interest (ROI) where the source of the orofacial pain was located, which was to be stimulated using rTMS. For each patient, MRI scans with a spatial resolution of 0.7 mm were converted into an anatomically accurate head model. The head model including the ROI was then co-registered with a model of the stimulation coil in an electromagnetic field numerical simulator. The accuracy of rTMS application was evaluated based on the calculations of electric field intensity distribution in the ROI. The research has yielded unique insight into ROIs (with average volume 904 mm3) in patients with orofacial pain and has also extended further possibilities of human head MRI image semi-automatic segmentation. According to the calculations performed, the average ROI volume that was stimulated by an electric field with an intensity of over 80 V/m was only 4.4%, with the maximum ROI volume being 20.5%. Furthermore, a numerical study of the impact of coil rotation and translation was performed. It demonstrated a) the optimal placement of the stimulation coil can significantly increase the volume of the stimulated ROI up to 60% and b) patients with orofacial pain would need precise coil positioning with a navigation error lower than 10 mm. Due to an acceptable proccessing time of up to 6 hours, described numerical simulation opens up new options for precise rTMS treatment planning. This planning platform together with patient-specific navigated rTMS, could lead to significant increase of treatment outcomes in patients suffering from orofacial pain.

Associations Between Traumatic Stress, Brain Volumes and Post-traumatic Stress Disorder Symptoms in Children: Data from the ABCD Study

Reduced volumes in brain regions of interest (ROIs), primarily from adult samples, are associated with posttraumatic stress disorder (PTSD). We extended this work to children using data from the Adolescent Brain Cognitive Development (ABCD) Study® (N = 11,848; Mage = 9.92). Structural equation modeling and an elastic-net (EN) machine-learning approach were used to identify potential effects of traumatic events (TEs) on PTSD symptoms (PTSDsx) directly, and indirectly via the volumes 300 subcortical and cortical ROIs. We then estimated the genetic and environmental variation in the phenotypes. TEs were directly associated with PTSDsx (r = 0.92) in children, but their indirect effects (r < 0.0004)—via the volumes of EN-identified subcortical and cortical ROIs—were negligible at this age. Additive genetic factors explained a modest proportion of the variance in TEs (23.4%) and PTSDsx (21.3%), and accounted for most of the variance of EN-identified volumes of four of the five subcortical (52.4–61.8%) three of the nine cortical ROIs (46.4–53.3%) and cerebral white matter in the left hemisphere (57.4%). Environmental factors explained most of the variance in TEs (C = 61.6%, E = 15.1%), PTSDsx (residual-C = 18.4%, residual-E = 21.8%), right lateral ventricle (C = 15.2%, E = 43.1%) and six of the nine EN-identified cortical ROIs (C = 4.0–13.6%, E = 56.7–74.8%). There is negligible evidence that the volumes of brain ROIs are associated with the indirect effects of TEs on PTSDsx at this age. Overall, environmental factors accounted for more of the variation in TEs and PTSDsx. Whereas additive genetic factors accounted for most of the variability in the volumes of a minority of cortical and in most of subcortical ROIs.

Pattern of progression in MAPT‐related frontotemporal dementia: Results from the GENFI study

AbstractBackgroundMutations in MAPT are associated with frontotemporal dementia (FTD), but little is known about the progression in its early stages. We aimed at identifying the presence of early brain changes in MAPT mutation carriers.MethodWe included 3T MRIs from 84 MAPT carriers [27 symptomatic: mean(SD) age 58(8) years; 57 presymptomatic: 40(11) years] from the Genetic FTD Initiative (GENFI) and from 77 age‐matched non‐carrier healthy controls (44(14) years). Based on their expected years to symptom onset (EYO), we divided the presymptomatic carriers into early (n=35, &lt;‐10 years) and late (n=22, &gt;‐10 years) groups.First, we performed voxel‐based morphometry (VBM) comparing 24 symptomatic carriers with 32 controls to identify the regions of interest (ROIs) which were atrophic in the symptomatic stage of MAPT. We then used automated and manual segmentations to extract these ROI volumes in all carriers. To remove the effect of age, gender, total intracranial volume and scanner type, we transformed the volumes into w‐scores, considering the controls as the reference group. A w‐score of &lt;‐1.28 (corresponding to the 10th percentile) was considered abnormal.ResultFrom the VBM we identified seven structures significantly atrophic in symptomatic carriers: the nucleus accumbens, amygdala, hippocampus, orbitofrontal cortex, temporal pole, anterior insula and hypothalamus.The percentage of early presymptomatic carriers with abnormal w‐scores was 14% for nucleus accumbens and hippocampus, and 20% orbitofrontal cortex. In the late group, 36% showed abnormal amygdala and temporal pole, 27% abnormal hippocampus, 32% abnormal anterior insula and 9% abnormal hypothalamus. In the symptomatic group, the percentages were higher: nucleus accumbens (41%), amygdala, hippocampus and temporal pole (85%), orbitofrontal cortex (56%), anterior insula (93%) and hypothalamus (48%).ConclusionAbnormal limbic regions are a frequent feature in presymptomatic MAPT carriers, showing early structural changes before symptom onset. Further investigations on the associated cognitive and white matter changes are ongoing.

Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse-to-fine convolutional neural network.

Brachytherapy combined with external beam radiotherapy (EBRT) is the standard treatment for cervical cancer and has been shown to improve overall survival rates compared to EBRT only. Magnetic resonance (MR) imaging is used for radiotherapy (RT) planning and image guidance due to its excellent soft tissue image contrast. Rapid and accurate segmentation of organs at risk (OAR) is a crucial step in MR image-guided RT. In this paper, we propose a fully automated two-step convolutional neural network (CNN) approach to delineate multiple OARs from T2-weighted (T2W) MR images. We employ a coarse-to-fine segmentation strategy. The coarse segmentation step first identifies the approximate boundary of each organ of interest and crops the MR volume around the centroid of organ-specific region of interest (ROI). The cropped ROI volumes are then fed to organ-specific fine segmentation networks to produce detailed segmentation of each organ. A three-dimensional (3-D) U-Net is trained to perform the coarse segmentation. For the fine segmentation, a 3-D Dense U-Net is employed in which a modified 3-D dense block is incorporated into the 3-D U-Net-like network to acquire inter and intra-slice features and improve information flow while reducing computational complexity. Two sets of T2W MR images (221 cases for MR1 and 62 for MR2) were taken with slightly different imaging parameters and used for our network training and test. The network was first trained on MR1 which was a larger sample set. The trained model was then transferred to the MR2 domain via a fine-tuning approach. Active learning strategy was utilized for selecting the most valuable data from MR2 to be included in the adaptation via transfer learning. The proposed method was tested on 20 MR1 and 32 MR2 test sets. Mean± SD dice similarity coefficients are 0.93± 0.04, 0.87± 0.03, and 0.80± 0.10 on MR1 and 0.94± 0.05, 0.88± 0.04, and 0.80± 0.05 on MR2 for bladder, rectum, and sigmoid, respectively. Hausdorff distances (95th percentile) are 4.18± 0.52, 2.54± 0.41, and 5.03± 1.31mm on MR1 and 2.89± 0.33, 2.24± 0.40, and 3.28± 1.08mm on MR2, respectively. The performance of our method is superior to other state-of-the-art segmentation methods. We proposed a two-step CNN approach for fully automated segmentation of female pelvic MR bladder, rectum, and sigmoid from T2W MR volume. Our experimental results demonstrate that the developed method is accurate, fast, and reproducible, and outperforms alternative state-of-the-art methods for OAR segmentation significantly (p<0.05).

Abstract P120: Association Of Carotid Intima-Media Thickness With Brain MRI Markers In The Atherosclerosis Risk In Communities Neurocognitive Study (ARIC-NCS)

Background: Elevated carotid intima-media thickness (cIMT) and presence of carotid plaque are markers of atherosclerosis, which may be linked to structural brain injury. Using data from the ARIC-NCS cohort, we tested the hypotheses that greater cIMT and presence of carotid plaque at late midlife were each associated with presence of infarcts (lacunar and cortical) and cerebral microbleeds (lobar and subcortical), greater white matter hyperintensity (WMH) volume, and smaller regional brain volumes in late life. Methods: We included 1,795 ARIC participants who had carotid ultrasounds in 1990-92 and brain MRI scans in 2011-13. Weighted linear regression was used for continuous (brain volume) outcomes, and weighted logistic regression for dichotomous outcomes (infarcts and cerebral microbleeds). Results: Participants were aged 57±6 years at baseline, 57% were female, and 23% were Black. Mean ± SD follow-up was 21±1 years. After multivariable adjustments, the highest quintile of cIMT in late midlife was associated with smaller deep grey matter volume (β [95% CI]: -0.11 [-0.22, -0.01]) and cortical volume in a temporal-parietal meta region of interest (ROI) (β [95% CI]: -0.10 [-0.20, -0.01]) in late life (Table). At baseline, 473 (26%) participants had carotid plaque present on their carotid ultrasound. Similar to cIMT, those with carotid plaque had smaller regional brain volumes than those without carotid plaque present (βs [95% CIs]: -0.05 [-0.12, 0.03] and -0.06 [-0.13, 0.01] for deep grey matter and temporal-parietal meta ROI volumes, respectively). No significant relations were observed with WMH volume, or the presence of any infarcts or cerebral microbleeds. Conclusion: Greater midlife cIMT and presence of carotid plaque were associated with smaller deep grey matter volume and cortical volume in a temporal-parietal meta ROI in later life. Contrary to our hypothesis, associations between midlife subclinical atherosclerosis and markers of vascular brain injury in later life were null.

Neural regions underlying object and action naming: complementary evidence from acute stroke and primary progressive aphasia

ABSTRACT Background Naming impairment is commonly noted in individuals with aphasia. However, object naming receives more attention than action naming. Furthermore, most studies include participants with aphasia due to only one aetiology, commonly stroke. We developed a new assessment, the Hopkins Action Naming Assessment (HANA), to evaluate action naming impairments. Aims Our aims were to show that the HANA is a useful tool that can (1) identify action naming impairments and (2) be used to investigate the neural substrates underlying naming. We paired the HANA with the Boston Naming Test (BNT) to compare action and object naming. We considered participants with aphasia due to primary progressive aphasia (PPA) or acute left hemisphere stroke to provide a more comprehensive picture of brain–behaviour relationships critical for naming. Behaviourally, we hypothesised that there would be a double dissociation between object and action naming performance. Neuroanatomically, we hypothesised that different neural substrates would be implicated in object vs. action naming and that different lesion-deficit associations would be identified in participants with PPA vs. acute stroke. Methods & Procedures Participants (N = 138 PPA, N = 37 acute stroke) completed the BNT and HANA. Behavioural performance was compared. A subset of participants (N = 31 PPA, N = 37 acute stroke) provided neuroimaging data. The whole brain was automatically segmented into regions of interest (ROIs). For participants with PPA, the image variables were the ROI volumes, normalised by brain volume. For participants with acute stroke, the image variables were the percentage of each ROI that was lesioned. The relationship between ROIs likely to be involved in naming performance was modelled with LASSO regression. Outcomes & Results Behavioural results showed a double dissociation in performance: in each group, some participants displayed intact performance relative to healthy controls on actions but not objects and/or significantly better performance on actions than objects, while others showed the opposite pattern. These results support the need to assess both objects and actions when evaluating naming deficits. Neuroimaging results identified different regions associated with object vs. action naming, implicating overlapping but distinct networks of regions. Furthermore, results differed for participants with PPA vs. acute stroke, indicating that critical information may be missed when only one aetiology is considered. Conclusions Overall, the study provides a more comprehensive picture of the neural bases of naming, underscoring the importance of assessing both objects and actions and considering different aetiologies of damage. It demonstrates the HANA's utility.

Using 2-dimensional color superb microvascular imaging vascularization index technique in the assessment of thyroid surgical bed.

The purpose of this study was to investigate the effectiveness of the vascularization index (VI) obtained using color superb microvascular imaging (cSMI) technique in the assessment of thyroid surgical bed for remnant thyroid tissue (RTT). We evaluated the thyroid surgical bed of 65 patients who had underwent total thyroidectomy (TT) due to papillary carcinoma (PC) using thyroid scintigraphy and cSMI. Color SMI was also performed for the examination of the thyroid parenchyma of 39 healthy asymptomatic participants. VI measurements were performed by manually drawing the contours of the RTT in those with remnant thyroid, the thyroid surgical bed in the patients' group without remnant thyroid, and normal thyroid parenchyma in the control group, using the free region of interest (ROI) with 2-dimensional color SMI VI (2DcSMIVI) mode. The volume of ROI was measured and echogenicity was evaluated. The quantitative 2DcSMIVI values of the surgical bed with RTT (Group A), the surgical bed without RTT (Group B) and normal thyroid of healthy asymptomatic participants (Group C) were compared. The mean 2DcSMIVI values of Group A was significantly higher than Group B and C (p=0.001). The presence of RTT can be diagnosed with 89.1% sensitivity and 87.5% specificity when 1.75 2DcSMIVI is designated as the cut-off value. The 2DcSMIVI is an effective imaging technique that can be used for the diagnosis of RTT.

Microglia Activation in Basal Ganglia Is a Late Event in Huntington Disease Pathophysiology.

ObjectiveTo define the role played by microglia in different stages of Huntington disease (HD), we used the TSPO radioligand [11C]-ER176 and PET to evaluate microglial activation in relation to neurodegeneration and in relation to the clinical features seen at premanifest and manifest stages of the disease.MethodsThis is a cross-sectional study in which 18 subjects (6 controls, 6 premanifest, and 6 manifest HD gene carriers) underwent a [11C]-ER176 PET scan and an MRI for anatomic localization. Segmentation of regions of interest (ROIs) was performed, and group differences in [11C]-ER176 binding (used to evaluate the extent of microglial activation) were assessed by the standardized uptake value ratio (SUVR). Microglial activation was correlated with ROIs volumes, disease burden, and the scores obtained in the clinical scales. As an exploratory aim, we evaluated the dynamic functions of microglia in vitro, by using induced microglia-like (iMG) cells from peripheral blood monocytes.ResultsIndividuals with manifest HD present higher [11C]-ER176 SUVR in both globi pallidi and putamina in comparison with controls. No differences were observed when we compared premanifest HD with controls or with manifest HD. We also found a significant correlation between increased microglial activation and cumulative disease burden, and with reduced volumes. iMG from controls, premanifest HD, and manifest HD patients showed similar phagocytic capacity.ConclusionsAltogether, our data demonstrate that microglial activation is involved in HD pathophysiology and is associated with disease progression.

The value of asphericity derived from T1-weighted MR in differentiating intraparenchymal ring-enhancing lesions-comparison of glioblastomas and brain abscesses.

Both brain abscess(BA)and glioblastoma (GBM) are common causative pathologies of intraparenchymal ring-enhancing lesions. Advanced MR sequences such as diffusion weighted image (DWI) were often used to increase distinguishability of both entities. To evaluate the value of asphericity (ASP) from conventional T1-weighted MR images in differentiating BA from morphologically similar ring-enhancing GBM. Twenty-one BA and twenty-nine GBM were retrospectively included in this study. Each region of interest (ROI) was delineated twice with the software of ITK-SNAP on the contrast-enhanced T1 images by two observers. ASP was calculated to define the relative deviation of the ROI's shape from a sphere. Intraclass correlation coefficients (ICC) for inter-observer and intra-observer were calculated. The diagnostic capabilities of ASP and conventional volume (VOL) of ROI were evaluated with receiver operating characteristic (ROC) curve analysis. In addition, areas under the ROC curves of ASP and VOL were compared. ICC of intra-observer and inter-observer were 0.99 (95% confidence interval, [CI] 0.97-0.99) and 0.98 (0.95-0.99), respectively. Both ASP and VOL showed significant difference between BA and GBM. The mean ASP values for BA and GBM were 66.3±7.8 and 14.7±1.8, respectively. The mean VOL value of BA was also larger than that of GBM (47.2±7.4 vs. 20.7±1.5 mm3). The mean AUC of ASP and VOL were 0.977 (95% CI 0.944-1) and 0.86 (95% CI 0.746-0.974), respectively. The AUC of ASP was significantly higher than that of VOL (p=0.04). The optimal cut point values of ASP and VOL were 24.39 and 24.86 mm3, respectively. ASP derived from routine MRI is useful in differentiating BA from GBM.

Volumetric MRI Findings in Mild Traumatic Brain Injury (mTBI) and Neuropsychological Outcome.

Region of interest (ROI) volumetric assessment has become a standard technique in quantitative neuroimaging. ROI volume is thought to represent a coarse proxy for making inferences about the structural integrity of a brain region when compared to normative values representative of a healthy sample, adjusted for age and various demographic factors. This review focuses on structural volumetric analyses that have been performed in the study of neuropathological effects from mild traumatic brain injury (mTBI) in relation to neuropsychological outcome. From a ROI perspective, the probable candidate structures that are most likely affected in mTBI represent the target regions covered in this review. These include the corpus callosum, cingulate, thalamus, pituitary-hypothalamic area, basal ganglia, amygdala, and hippocampus and associated structures including the fornix and mammillary bodies, as well as whole brain and cerebral cortex along with the cerebellum. Ventricular volumetrics are also reviewed as an indirect assessment of parenchymal change in response to injury. This review demonstrates the potential role and limitations of examining structural changes in the ROIs mentioned above in relation to neuropsychological outcome. There is also discussion and review of the role that post-traumatic stress disorder (PTSD) may play in structural outcome in mTBI. As emphasized in the conclusions, structural volumetric findings in mTBI are likely just a single facet of what should be a multimodality approach to image analysis in mTBI, with an emphasis on how the injury damages or disrupts neural network integrity. The review provides an historical context to quantitative neuroimaging in neuropsychology along with commentary about future directions for volumetric neuroimaging research in mTBI.

Multimodal Image Analysis of Sexual Dimorphism in Developing Childhood Brain.

It is well known that there exist great differences in human brain anatomy and functions between males and females. With the development of noninvasive neuroimaging techniques, the sex differences in adult human brain have been well studied in some researches. However, the sexual dimorphism of human brain anatomy and functions has not been sufficiently described during the developmental period of early childhood brain when the sex differences emerge in behavior. This study was to identify specific patterns of the sexual dimorphism in developing brain structure of early childhood using multimodal brain image analysis. We have performed a multivariate and data-driven analysis by combining multiple neuroimaging technologies including the 3D T1-weighted structural MR images (sMRI) and diffusion tensor imaging (DTI) in a prospective cohort of 188 children (128 males and 60 females) between the ages of 0 and 15. First, the brain images were segmented into 90 regions of interest (ROIs) based on the AAL template to extract the ROI volume and connectivity features. Then, the individual multimodal imaging biomarkers were identified associated with the sex differences. Finally, the selected features from multi-modality neuroimages were combined using multi-kernel support vector machine for classifications of male or female. The method achieved sex classification accuracy 72% for the children between the ages of 0 and 15. And the volumes of right precuneus and right postcentral were more related to sexual dimorphism of developing brain structure than those of other regions in sMRI (p < 0.002). In DTI, the connections between right middle occipital gyrus and right inferior occipital gyrus, between left superior marginal gyrus and left middle temporal gyrus, and between right triangle inferior frontal gyrus and right putamen are also more relevant to the sexual dimorphism than others (p < 0.005). The brain regions and connections related to the sexual differences were identified with sMRI and DTI in early developing brain structure by using the multimodal image analysis. And these sexually dimorphic patterns of brain may be related to the observed sex differences in developing childhood brain structure and connectivity.

Lower Hippocampal Volume in Patients with Schizophrenia and Bipolar Disorder: A Quantitative MRI Study.

Since patients with schizophrenia (SZ) and bipolar disorder (BD) share many biological features, detecting biomarkers that differentiate SZ and BD patients is crucial for optimized treatments. High-resolution magnetic resonance imaging (MRI) is suitable for detecting subtle brain structural differences in patients with psychiatric disorders. In the present study, we adopted a neuroanatomically defined and manually delineated region of interest (ROI) method to evaluate the amygdalae, hippocampi, Heschl’s gyrus (HG), and planum temporale (PT), because these regions are crucial in the development of SZ and BD. ROI volumes were measured using high resolution MRI in 31 healthy subjects (HS), 23 SZ patients, and 21 BD patients. Right hippocampal volumes differed significantly among groups (HS > BD > SZ), whereas left hippocampal volumes were lower in SZ patients than in HS and BD patients (HS = BD > SZ). Volumes of the amygdalae, HG, and PT did not differ among the three groups. For clinical correlations, there were no significant associations between ROI volumes and demographics/clinical symptoms. Our study revealed significant lower hippocampal volume in patients with SZ and BD, and we suggest that the right hippocampal volume is a potential biomarker for differentiation between SZ and BD.