Region Of Interest Analysis Research Articles

Alzheimer’s disease biomarkers of amyloid and tau influence white matter neurite alterations in dementia with Lewy bodies: a NODDI study

AbstractBackgroundCo‐morbid Alzheimer’s disease (AD) pathology in the form of amyloid‐ß plaques and tau neurofibrillary tangles are frequently observed in people with probable dementia with Lewy bodies (DLB). Neurite Orientation Dispersion and Density Imaging (NODDI) is an emerging technique to characterize white matter (WM) tissue microstructure, although NODDI alterations and associations with AD biomarkers remain undefined in DLB. The objectives of this study are to compare NODDI and DTI parameters between DLB and controls and (ii) evaluate the pattern of DTI and NODDI changes associated with amyloid and tau deposition.MethodConsecutive patients within the DLB spectrum (n = 45), including probable DLB (n = 32) and probable Mild Cognitive Impairment with Lewy bodies (MCI‐LB) (n = 13) from the Mayo Clinic ADRC underwent multi‐shell diffusion MRI, [18F]‐Flortaucipir and [11C]‐PiB PET. A comparison group of 45 age‐ and gender‐matched clinically unimpaired controls (CU) was included. Voxelwise non‐parametric permutation models were used to determine pair‐wise group differences and assess the associations of AD biomarkers with fractional anisotropy (FA), mean diffusivity (MD), tissue‐weighted neurite density index (tNDI; NDI x (1 – Free water fraction)) and orientation dispersion index (ODI), controlling for age. Complementary analyses were performed using regions‐of‐interest (ROI) obtained from the JHU atlas.ResultCompared to CU, the DLB spectrum group exhibited widespread decreases in FA and tNDI and increases in MD and ODI, with the most pronounced effects in the cingulum bundles, uncinate, inferior and superior longitudinal fasciculi (Fig. 1). Greater [18F]‐Flortaucipir uptake was also associated with lower FA and tNDI, and higher MD and ODI in the DLB spectrum compared to CU, independently of age and [11C]‐PiB uptake (Fig. 2). In contrast, no associations were found between [11C]‐PiB uptake and any of the DTI or NODDI parameters. Complementary ROI analyses corroborated these findings.ConclusionWidespread loss of WM integrity was observed on DTI and NODDI in probable DLB and prodromal DLB. These findings were associated with greater cortical tau, but not with amyloid‐ß deposition. Although alpha‐synuclein pathology underlies the loss of WM integrity in DLB, amyloid‐independent tau pathology may also be an important influence on white matter integrity within the DLB spectrum.

Alzheimer’s disease biomarkers of amyloid and tau influence white matter neurite alterations in dementia with Lewy bodies: a NODDI study

AbstractBackgroundCo‐morbid Alzheimer’s disease (AD) pathology in the form of amyloid‐β plaques and tau neurofibrillary tangles are frequently observed in people with probable dementia with Lewy bodies (DLB). Neurite Orientation Dispersion and Density Imaging (NODDI) is an emerging technique to characterize white matter (WM) tissue microstructure, although NODDI alterations and associations with AD biomarkers remain undefined in DLB. The objectives of this study are to compare NODDI and DTI parameters between DLB and controls and (ii) evaluate the pattern of DTI and NODDI changes associated with amyloid and tau deposition.MethodConsecutive patients within the DLB spectrum (n = 45), including probable DLB (n = 32) and probable Mild Cognitive Impairment with Lewy bodies (MCI‐LB) (n = 13) from the Mayo Clinic ADRC underwent multi‐shell diffusion MRI, [18F]‐Flortaucipir and [11C]‐PiB PET. A comparison group of 45 age‐ and gender‐matched clinically unimpaired controls (CU) was included. Voxelwise non‐parametric permutation models were used to determine pair‐wise group differences and assess the associations of AD biomarkers with fractional anisotropy (FA), mean diffusivity (MD), tissue‐weighted neurite density index (tNDI; NDI x (1 – Free water fraction)) and orientation dispersion index (ODI), controlling for age. Complementary analyses were performed using regions‐of‐interest (ROI) obtained from the JHU atlas.ResultCompared to CU, the DLB spectrum group exhibited widespread decreases in FA and tNDI and increases in MD and ODI, with the most pronounced effects in the cingulum bundles, uncinate, inferior and superior longitudinal fasciculi (Fig. 1). Greater [18F]‐Flortaucipir uptake was also associated with lower FA and tNDI, and higher MD and ODI in the DLB spectrum compared to CU, independently of age and [11C]‐PiB uptake (Fig. 2). In contrast, no associations were found between [11C]‐PiB uptake and any of the DTI or NODDI parameters. Complementary ROI analyses corroborated these findings.ConclusionWidespread loss of WM integrity was observed on DTI and NODDI in probable DLB and prodromal DLB. These findings were associated with greater cortical tau, but not with amyloid‐β deposition. Although alpha‐synuclein pathology underlies the loss of WM integrity in DLB, amyloid‐independent tau pathology may also be an important influence on white matter integrity within the DLB spectrum.

Empathy Modulates the Activity of the Sensorimotor Mirror Neuron System during Pain Observation.

The aim of this study is to analyze the brain activity patterns during the observation of painful expressions and to establish the relationship between this activity and the scores obtained on the Interpersonal Reactivity Index (IRI). The study included twenty healthy, right-handed subjects (10 women). We conducted a task-based and resting-state functional magnetic resonance imaging (fMRI) study. The task involved observing pictures displaying painful expressions. We performed a region of interest (ROI) analysis focusing on the core regions of the sensorimotor mirror neuron system (MNS). Resting-state fMRI was utilized to assess the functional connectivity of the sensorimotor MNS regions with the rest of the cortex using a seed-to-voxel approach. Additionally, we conducted a regression analysis to examine the relationship between brain activity and scores from the IRI subtests. Observing painful expressions led to increased activity in specific regions of the frontal, temporal, and parietal lobes. The largest cluster of activation was observed in the left inferior parietal lobule (IPL). However, the ROI analysis did not reveal any significant activity in the remaining core regions of the sensorimotor MNS. The regression analysis demonstrated a positive correlation between brain activity during the observation of pain and the "empathic concern" subtest scores of the IRI in both the cingulate gyri and bilateral IPL. Finally, we identified a positive relationship between the "empathic concern" subtest of the IRI and the functional connectivity (FC) of bilateral IPLs with the bilateral prefrontal cortex and the right IFG. Observing expressions of pain triggers activation in the sensorimotor MNS, and this activation is influenced by the individual's level of empathy.

NIMG-03. IMPACT OF CONCURRENT IMMUNOTHERAPY AND STEREOTACTIC RADIOSURGERY ON METASTATIC BRAIN DISEASE: A THREE-DIMENSIONAL MAGNETIC RESONANCE FINGERPRINTING RADIOMIC ANALYSIS

Abstract BACKGROUND Unlike traditional chemotherapy (limited by the blood-brain barrier), the central nervous system penetrance of immunotherapy allows for synergy with stereotactic radiosurgery (SRS), the standard-of-care management of limited brain metastases. Magnetic resonance fingerprinting (MRF) is a novel technology allowing for simultaneous imaging quantification of multiple tissue properties. We present the first serial MRF results in concomitant SRS/immunotherapy for metastatic brain disease. METHODS A patient with known history of small cell lung cancer (SCLC) presented with a seizure. MRI revealed a solitary 1 cm right occipital metastasis, subsequently receiving SRS rather than whole-brain radiation therapy to optimize cognition preservation. Durvalumab (with carboplatin/etoposide) was given one week before SRS (22 Gy single-fraction). Pre-SRS MRF scans were obtained with the Gamma Knife stereotactic headframe in place. Post-SRS MRF scans were obtained at 1, 3, and 5 months. MRF data was processed and region of interest analysis was performed to measure T1 and T2 values within the lesion using MATLAB. RESULTS The mean T1 and T2 values of the solid tumor (ST) in precontrast MRF maps decreased over time with a slight increase at final follow-up. Specifically, the T1 values decreased from 2131 ms (Pre-SRS) to 1018 ms, then 996 ms followed by a slight increase to 1296 ms. Similarly, the T2 values progressively decreased from 143 ms (Pre-SRS) to 45 ms (first follow-up) to 43 ms (3-month follow-up), with an increase (51 ms) at last follow-up. CONCLUSIONS In this first report of MRF in concomitant immunotherapy/Gamma Knife SRS (and the first in a SCLC patient). MRF demonstrated serial drop in T1 and T2 over time followed by slight increase at 5 months follow-up. The alterations observed in T1 and T2 MRF are compatible with post-treatment effects in the tumor's tissue characteristics, including decreased cellularity, water content, and presence of paramagnetic substances.

Abstract 12273: Circulating Monocyte Mitochondrial Function Reflects Myocardial Oxidative Metabolism in Humans With Heart Failure

Introduction: We previously showed that mitochondrial function in circulating monocytes is abnormal in humans with heart failure (HF) compared to normal controls, and that it correlates to cardiomyocyte mitochondrial function in dogs with HF. But, there is no data in humans supporting a relationship between monocyte mitochondrial function and cardiac energy metabolism. Hypothesis: To test the association of circulating monocyte mitochondrial function metrics with myocardial energy metabolism in patients with HF and reduced left ventricular (LV) ejection fraction (HFrEF) quantified using C 11 acetate PET imaging. Methods: We studied 10 patients with stable HFrEF that underwent the PET imaging. Region of interest analysis was used to yield time-activity curves that represent multiple LV myocardial regions. The early phase of tracer washout curves were fitted mono-exponentially to obtain the constant Kmono (a measure of oxidative metabolism). Peripheral blood monocytes were isolated and mitochondrial function was quantified using SEAHORSE. We tested the correlation of mitochondrial metrics with Kmono, adjusted for mechanical energetic output of the heart (calculated as stroke volume index*mean BP*heartrate). Results: Among the 10 patients (aged 57-74), 3 were women, 4 self-identified as Black, and 4 had ischemic etiology. Mean EF was 35% (range 18-45%), mean systolic BP was 126 (range 100-147), and mean Kmono was 0.054 (range 0.038-0.102). Results are summarized in the table. After accounting for variation in mechanical cardiac work, we found significant positive correlations of each mitochondrial metric with Kmono. Conclusions: We find that mitochondrial function in circulating blood monocytes may be a biomarker of cardiac oxidative metabolism and cardiomyocyte mitochondrial function. If validated as a non-invasive measure of cardiac energetics, this could accelerate research in cardiac energy deprivation and its relationship to HF progression.

Smaller grey matter volume in the central olfactory system in mild cognitive impairment

One of the major challenges in the diagnosis of Alzheimer's disease (AD) is to increase the specificity of the early diagnosis. While episodic memory impairment is a sensitive AD marker, other measures are needed to improve diagnostic specificity. A promising biomarker might be a cerebral atrophy of the central olfactory processing areas in the early stages of the disease since an impairment of olfactory identification is present at the clinical stage of AD. Our goal was therefore, (1) to evaluate the grey matter volume (GMV) of central olfactory processing regions in prodromal AD and (2) to assess its association with episodic memory. We included 34 cognitively normal healthy controls (HC), 92 individuals with subjective cognitive decline (SCD), and 40 with mild cognitive impairment (MCI). We performed regions of interest analysis (ROI) using two different approaches, allowing to extract GMV from (1) atlas-based anatomical ROIs and from (2) functional and non-functional subregions of these ROIs (olfactory ROIs and non-olfactory ROIs). Participants with MCI exhibited smaller olfactory ROIs GMV, including significant reductions in the piriform cortex, amygdala, entorhinal cortex, and left hippocampus compared to other groups (p ≤ 0.05, corrected). No significant effect was found regarding anatomical or non-olfactory ROIs GMV. The left hippocampus olfactory ROI GMV was correlated with episodic memory performance (p < 0.05 corrected). Limbic/medial-temporal olfactory processing areas are specifically atrophied at the MCI stage, and the degree of atrophy might predict cognitive decline in AD early stages.

Working Memory-Related Neurofunctional Correlates Associated with the Frontal Lobe in Children with Familial vs. Non-Familial Attention Deficit/Hyperactivity Disorder.

Attention deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with high prevalence, heritability, and heterogeneity. Children with a positive family history of ADHD have a heightened risk of ADHD emergence, persistence, and executive function deficits, with the neural mechanisms having been under investigated. The objective of this study was to investigate working memory-related functional brain activation patterns in children with ADHD (with vs. without positive family histories (ADHD-F vs. ADHD-NF)) and matched typically developing children (TDC). Voxel-based and region of interest analyses were conducted on two-back task-based fMRI data of 362 subjects, including 186, 96, and 80 children in groups of TDC, ADHD-NF, and ADHD-F, respectively. Relative to TDC, both ADHD groups had significantly reduced activation in the left inferior frontal gyrus (IFG). And the ADHD-F group demonstrated a significant positive association of left IFG activation with task reaction time, a negative association of the right IFG with ADHD symptomatology, and a negative association of the IFG activation laterality index with the inattention symptom score. These results suggest that working memory-related functional alterations in bilateral IFGs may play distinct roles in ADHD-F, with the functional underdevelopment of the left IFG significantly informing the onset of ADHD symptoms. Our findings have the potential to assist in tailored diagnoses and targeted interventions in children with ADHD-F.

Cognitive impairment associated with cerebellar volume loss in spinocerebellar ataxia type 3.

Many neuroscience and neurology studies have forced a reconsideration of the traditional motor-related scope of cerebellar function, which has now expanded to include various cognitive functions. Spinocerebellar ataxia type 3 (SCA3; the most common hereditary ataxia) is neuropathologically characterized by cerebellar atrophy and frequently presents with cognitive impairment. To characterize cognitive impairment in SCA3 and investigate the cerebellum-cognition associations. This prospective, cross-sectional cohort study recruited 126 SCA3 patients and 41 healthy control individuals (HCs). Participants underwent a brain 3D T1-weighted images as well as neuropsychological tests. Voxel-based morphometry (VBM) and region of interest (ROI) approaches were performed on the 3D T1-weighted images. CERES was used to automatically segment cerebellums. Patients were grouped into cognitively impaired (CI) and cognitively preserved (CP), and clinical and MRI parameters were compared. Multivariable regression models were fitted to examine associations between cerebellar microstructural alterations and cognitive domain impairments. Compared to HCs, SCA3 patients showed cognitive domain impairments in information processing speed, verbal memory, executive function, and visuospatial perception. Between CI and CP subgroups, the CI subgroup was older and had lower education, as well as higher severity scores. VBM and ROI analyses revealed volume loss in cerebellar bilateral lobule VI, right lobule Crus I, and right lobule IV of the CI subgroup, and all these cerebellar lobules were associated with the above cognitive domain impairments. Our findings demonstrate the multiple cognitive domain impairments in SCA3 patients and indicate the responsible cerebellar lobules for the impaired cognitive domain(s).

Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning.

To develop a deep learning-based method to retrospectively quantify T2 from conventional T1- and T2-weighted images. Twenty-five subjects were imaged using a multi-echo spin-echo sequence to estimate reference prostate T2 maps. Conventional T1- and T2-weighted images were acquired as the input images. A U-Net based neural network was developed to directly estimate T2 maps from the weighted images using a four-fold cross-validation training strategy. The structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), mean percentage error (MPE), and Pearson correlation coefficient were calculated to evaluate the quality of network-estimated T2 maps. To explore the potential of this approach in clinical practice, a retrospective T2 quantification was performed on a high-risk prostate cancer cohort (Group 1) and a low-risk active surveillance cohort (Group 2). Tumor and non-tumor T2 values were evaluated by an experienced radiologist based on region of interest (ROI) analysis. The T2 maps generated by the trained network were consistent with the corresponding reference. Prostate tissue structures and contrast were well preserved, with a PSNR of 26.41 ± 1.17 dB, an SSIM of 0.85 ± 0.02, and a Pearson correlation coefficient of 0.86. Quantitative ROI analyses performed on 38 prostate cancer patients revealed estimated T2 values of 80.4 ± 14.4 ms and 106.8 ± 16.3 ms for tumor and non-tumor regions, respectively. ROI measurements showed a significant difference between tumor and non-tumor regions of the estimated T2 maps (P < 0.001). In the two-timepoints active surveillance cohort, patients defined as progressors exhibited lower estimated T2 values of the tumor ROIs at the second time point compared to the first time point. Additionally, the T2 difference between two time points for progressors was significantly greater than that for non-progressors (P = 0.010). A deep learning method was developed to estimate prostate T2 maps retrospectively from clinically acquired T1- and T2-weighted images, which has the potential to improve prostate cancer diagnosis and characterization without requiring extra scans.

Lateral Meniscal Allograft Transplantation Shows a Long-Term Chondroprotective Effect on Quantitative Magnetic Resonance Imaging T2 Mapping at 7-Year Minimum Follow-Up

PurposeThe purpose of this study was to assess the long-term chondroprotective effect of lateral MAT (meniscal allograft transplantation) using quantitative MRI (magnetic resonance imaging) T2 mapping. MethodsIn patients who underwent isolated lateral MAT, quantitative MRI T2 mapping was conducted preoperatively and postoperatively with at minimum follow-up of 7 years to assess the articular cartilage status. On the sagittal section image bisecting the lateral femoral condyle, the weight-bearing portions of the femoral and tibial articular cartilage were divided into three segments each—six segments in total—based on the meniscal coverage area. The regions of interest analysis were performed on the six segments to measure the mean T2 value. Then, the whole layer was divided into deep and superficial layers for further zonal analysis. The longitudinal change in T2 values was statistically analyzed using paired t-tests. Clinical outcome was evaluated using the Lysholm score. ResultsA total of 31 patients were included in the study, with the MRI follow-up period of a minimum follow-up of 7 years (mean 8.9±1.3 years; range, 7.0–11.2 years). The mean T2 value of the whole layer showed significant improvement in all segments of the femoral cartilage and the posterior segment of tibial cartilage. In the zonal analysis, the mean T2 value of the tibial cartilage showed significant improvement in the superficial layer of the mid to posterior portion, while the deep layer remained stable. In contrast, the mean T2 value of the femoral cartilage showed significant improvement in the superficial and deep layers in all segments. The mean Lysholm score significantly improved from 62.6±12.8 to 90.9±10.5 (P < .001). ConclusionThis study suggests that MAT appears to have a long-term chondroprotective effect on the articular cartilage as judged by quantitative T2 mapping. Level of EvidenceLevel Ⅳ, Case series.

THU347 Diffusion Tensor Imaging Of The Tibial Nerve Can Detect Peripheral Neuropathy In Type 2 Diabetes

Abstract Disclosure: H. Park: None. E. Oh: None. S. Park: None. H. Kim: None. D. Byun: None. Magnetic resonance imaging (MRI) has played little role for the study of peripheral nerve disease. However, recent technological advances in MRI have provided us more information about neural microstructure and higher resolution in peripheral nerves. The aim of this study is to evaluate whether diffusion tensor imaging (DTI) parameters in MRI can detect peripheral neuropathy in type 2 diabetes (T2D). In this prospective, single-center study, eight T2D patients (mean age, 62.1 ± 10.8 yr; 5 M/ 3F) with peripheral neuropathy and seven healthy controls (65.0 ± 3.3 yr, 7 F) were included. All T2D patients underwent Michigan Neuropathy Screening Instrument questionnaire and quantitative sensory testing. MRI including DTI and axial T2-weight Dixon sequence was performed for each participant. Region of interest analysis was independently performed by one radiologist on each side of tibial nerve at two levels: lower margin of adductor magnus muscle insertion (level 1), and quadriceps femoris tendon at patellar attachment (level 2). DTI parameters including cross-sectional areas (CSA), fractional anisotropy (FA), as well as diffusivity (mean (MD), axial (AD), and radial (RD)) were calculated. FA was significantly lower in T2D patients with peripheral neuropathy than healthy controls at both level 1 (396 ± 74 vs. 541 ± 141, P&amp;lt;0.05) and level 2 (422 ± 65 vs. 565 ± 108, P&amp;lt;0.05). AD was significantly lower in T2D patients with peripheral neuropathy than controls at level 2 (2,207 ± 492 vs. 2,884 ± 497, P&amp;lt;0.05). RD was significantly higher in T2D patients with peripheral neuropathy than controls at level 1 (1,156 ± 313 vs. 867 ± 147, P&amp;lt;0.05). No difference in the CSA of the tibial nerve was seen in both levels between two groups. Our results have shown that DTI parameters can detect nerve abnormalities of the tibial nerve in T2D patients, suggesting DTI may be useful as a biomarker in diabetic peripheral neuropathy. Presentation: Thursday, June 15, 2023

Spectral photon-counting CT: Image quality evaluation using a metal-containing bovine bone specimen

PurposeTo find the optimal imaging parameters for a photon-counting detector CT (PCD-CT) and to compare it to an energy-integrating detector CT (EID-CT) in terms of image quality and metal artefact severity using a metal-containing bovine knee specimen. MethodsA bovine knee with a stainless-steel plate and screws was imaged in a whole-body research PCD-CT at 120 kV and 140 kV and in an EID dual-source CT (DSCT) at Sn150 kV and 80/Sn150 kV. PCD-CT virtual monoenergetic 72 and 150 keV images and EID-CT images processed with and without metal artefact reduction algorithms (iMAR) were compared. Four radiologists rated the visualisation of bony structures and metal artefact severity. The Friedman test and Wilcoxon signed-rank test with Bonferroni’s correction were used. P-values of ≤ 0.0001 were considered statistically significant. Distributions of HU values of regions of interest (ROIs) in artefact-affected areas were analysed. ResultsPCD-CT 140 kV 150 keV images received the highest scores and were significantly better than EID-CT Sn150 kV images. PCD-CT 72 keV images were rated significantly lower than all the others. HU-value variation was larger in the 120 kV and the 72 keV images. The ROI analysis revealed no large difference between scanners regarding artefact severity. ConclusionPCD-CT 140 kV 150 keV images of a metal-containing bovine knee specimen provided the best image quality. They were superior to, or as good as, the best EID-CT images; even without the presumed advantage of tin filter and metal artefact reduction algorithms. PCD-CT is a promising method for reducing metal artefacts.

Abnormal functional connectivity of the posterior hypothalamus and other arousal regions in surgical temporal lobe epilepsy.

This study sought to characterize resting-state functional MRI (fMRI) connectivity patterns of the posterior hypothalamus (pHTH) and the nucleus basalis of Meynert (NBM) in surgical patients with mesial temporal lobe epilepsy (mTLE), and to investigate potential correlations between functional connectivity of these arousal regions and neurocognitive performance. The study evaluated resting-state fMRI in 60 patients with preoperative mTLE and in 95 healthy controls. The authors first conducted voxel-wise connectivity analyses seeded from the pHTH, combined anterior and tuberal hypothalamus (atHTH; i.e., the rest of the hypothalamus), and the NBM ipsilateral (ipsiNBM) and contralateral (contraNBM) to the epileptogenic zone. Based on these results, the authors included the pHTH, ipsiNBM, and frontoparietal neocortex in a network-based statistic (NBS) analysis to elucidate a network that best distinguishes patients from controls. The connections involving the pHTH and ipsiNBM from this network were included in age-corrected pairwise region of interest (ROI) analysis, along with connections between arousal structures, including the pHTH, ipsiNBM, and brainstem arousal regions. Finally, patient functional connectivity was correlated with clinical neurocognitive testing scores for IQ as well as attention and concentration tests. The voxel-wise analysis demonstrated that the pHTH, when compared with the atHTH, showed more widespread functional connectivity decreases in surgical mTLE patients when compared with controls. It was also observed that the ipsiNBM, but not the contraNBM, showed decreased functional connectivity in mTLE. The NBS analysis uncovered a perturbed network of frontoparietal regions, the pHTH, and ipsiNBM that distinguishes patients from controls. Age-corrected ROI analysis revealed functional connectivity decreases between the pHTH and bilateral superior frontal gyri, medial orbitofrontal cortices, rostral anterior cingulate cortices, and inferior parietal cortices in mTLE when compared with controls. For the ipsiNBM, there was reduced connectivity with bilateral medial orbitofrontal and rostral anterior cingulate cortices. Age-corrected ROI analysis also demonstrated upstream connectivity decreases from controls between the pHTH and the brainstem arousal regions, cuneiform/subcuneiform (CSC) nuclei, and ventral tegmental area, as well as the ipsiNBM and CSC nuclei. Reduced functional connectivity was also detected between the pHTH and ipsiNBM. Lastly, neurocognitive test scores for attention and concentration were found to be positively correlated with the functional connectivity between the pHTH and ipsiNBM, suggesting worse performance associated with connectivity perturbations. This study demonstrated perturbed resting-state functional connectivity of arousal regions in surgical mTLE and is one of the first investigations to demonstrate decreased functional connectivity of the pHTH with frontoparietal regions and other arousal regions. Connectivity disturbances in arousal regions may contribute to neurocognitive deficits in surgical mTLE patients.

Deformable medical image registration with global-local transformation network and region similarity constraint.

Deformable medical image registration can achieve fast and accurate alignment between two images, enabling medical professionals to analyze images of different subjects in a unified anatomical space. As such, it plays an important role in many medical image studies. Current deep learning (DL)-based approaches for image registration directly learn spatial transformation from one image to another, relying on a convolutional neural network and ground truth or similarity metrics. However, these methods only use a global similarity energy function to evaluate the similarity of a pair of images, which ignores the similarity of regions of interest (ROIs) within the images. This can limit the accuracy of the image registration and affect the analysis of specific ROIs. Additionally, DL-based methods often estimate global spatial transformations of images directly, without considering local spatial transformations of ROIs within the images. To address this issue, we propose a novel global-local transformation network with a region similarity constraint that maximizes the similarity of ROIs within the images and estimates both global and local spatial transformations simultaneously. Experiments conducted on four public 3D MRI datasets demonstrate that the proposed method achieves the highest registration performance in terms of accuracy and generalization compared to other state-of-the-art methods.

Reduced neurite density index in the prefrontal cortex of adults with autism assessed using neurite orientation dispersion and density imaging.

Core symptoms of autism-spectrum disorder (ASD) have been associated with prefrontal cortex abnormalities. However, the mechanisms behind the observation remain incomplete, partially due to the challenges of modeling complex gray matter (GM) structures. This study aimed to identify GM microstructural alterations in adults with ASD using neurite orientation dispersion and density imaging (NODDI) and voxel-wise GM-based spatial statistics (GBSS) to reduce the partial volume effects from the white matter and cerebrospinal fluid. A total of 48 right-handed participants were included, of which 22 had ASD (17 men; mean age, 34.42 ± 8.27 years) and 26 were typically developing (TD) individuals (14 men; mean age, 32.57 ± 9.62 years). The metrics of NODDI (neurite density index [NDI], orientation dispersion index [ODI], and isotropic volume fraction [ISOVF]) were compared between groups using GBSS. Diffusion tensor imaging (DTI) metrics and surface-based cortical thickness were also compared. The associations between magnetic resonance imaging-based measures and ASD-related scores, including ASD-spectrum quotient, empathizing quotient, and systemizing quotient were also assessed in the region of interest (ROI) analysis. After controlling for age, sex, and intracranial volume, GBSS demonstrated significantly lower NDI in the ASD group than in the TD group in the left prefrontal cortex (caudal middle frontal, lateral orbitofrontal, pars orbitalis, pars triangularis, rostral middle frontal, and superior frontal region). In the ROI analysis of individuals with ASD, a significantly positive correlation was observed between the NDI in the left rostral middle frontal, superior frontal, and left frontal pole and empathizing quotient score. No significant between-group differences were observed in all DTI metrics, other NODDI (i.e., ODI and ISOVF) metrics, and cortical thickness. GBSS analysis was used to demonstrate the ability of NODDI metrics to detect GM microstructural alterations in adults with ASD, while no changes were detected using DTI and cortical thickness evaluation. Specifically, we observed a reduced neurite density index in the left prefrontal cortices associated with reduced empathic abilities.

Linking resting state metabolite concentrations in the dorsal anterior cingulate cortex to response inhibition in OCD, a combined fMRI-MRS study

IntroductionObsessive-compulsive disorder (OCD) has been associated with abnormal brain activation in regions related to response inhibition, such as the dorsal anterior cingulate cortex (dACC), as well as dysregulation of the glutamate system. We studied how the neurometabolites glutamate and glutamine (Glx) in the dACC are related to task performance and task-related brain activation during a response inhibition task in OCD patients and healthy controls (HC). MethodsWe combined resting-state magnetic resonance spectroscopy (1H-MRS) in the dACC and functional MRI (fMRI) during the Stop Signal Task (SST), using data from two sites (43 OCD patients and 41 HC). For fMRI data, region of interest (ROI) and whole brain analyses were performed during successful inhibition and error processing. Subsequently, the relation between baseline Glx concentrations, task-related activation, functional connectivity, and task performance was tested using correlational analyses. ResultsIn HC, Glx concentration in dACC showed a positive correlation with inhibition-related activation in the right thalamus (based on ROI analyses) and the brain stem (based on whole brain analyses). No relation between Glx and task-related activation was observed in patients with OCD. SST performance was not different between groups and was not associated with dACC Glx concentrations. LimitationsAlthough we attempted to link neurometabolite levels and brain activation, the non-simultaneous acquisition of 1H-MRS with fMRI made it difficult to interpret the results. ConclusionsWe conclude that dACC Glx is associated with inhibition-related activation and network function in HC, but not in OCD, suggesting altered inhibition processing in OCD.

Associations between regular cannabis use and brain resting-state functional connectivity in adolescents and adults.

Cannabis use is highly prevalent in adolescents; however, little is known about its effects on adolescent brain function. Resting-state functional magnetic resonance imaging was used in matched groups of regular cannabis users (N = 70, 35 adolescents: 16-17 years old, 35 adults: 26-29 years old) and non-regular-using controls (N = 70, 35 adolescents/35 adults). Pre-registered analyses examined the connectivity of seven major cortical and sub-cortical brain networks (default mode network, executive control network (ECN), salience network, hippocampal network and three striatal networks) using seed-based analysis methods with cross-sectional comparisons between user groups and age groups. The regular cannabis use group (across both age groups), relative to controls, showed localised increases in connectivity only in the ECN analysis. All networks showed localised connectivity differences based on age group, with the adolescents generally showing weaker connectivity than adults, consistent with the developmental effects. Mean connectivity across entire network regions of interest (ROIs) was also significantly decreased in the ECN in adolescents. However, there were no significant interactions found between age group and user group in any of the seed-based or ROI analyses. There were also no associations found between cannabis use frequency and any of the derived connectivity measures. Regular cannabis use is associated with changes in connectivity of the ECN, which may reflect allostatic or compensatory changes in response to regular cannabis intoxication. However, these associations were not significantly different in adolescents compared to adults.

Emotion regulation and reactivity are associated with cortical thickness in early to mid-childhood.

This study explored the neural correlates of emotion regulation and emotional reactivity in early to mid-childhood. A sample of 96 children (70% White, mid-to-high socioeconomic status) aged 3-8years provided structural neuroimaging data and caregivers reported on emotion regulation and emotional reactivity. The amygdala, insula, inferior frontal gyrus, anterior cingulate cortex, and medial orbitofrontal cortex were explored as a priori regions of interest (ROIs). ROI analyses revealed that emotion regulation was positively associated with cortical thickness in the insula, whereas emotional reactivity was negatively associated with cortical thickness in the inferior frontal gyrus. Exploratory whole-brain analyses suggested positive associations between emotion regulation and both left superior temporal thickness and right inferior temporal thickness, as well as negative associations between emotional reactivity and left superior temporal thickness. There were no significant associations between emotional regulation or reactivity and amygdala volume or cortical surface area. These findings support the notion that surface area and cortical thickness are distinct measures of brain maturation. In sum, these findings suggest that children may rely on a wider set of neural regions for emotion regulation and reactivity than adults, which is consistent with theories of interactive specialization across the life span.

Functional magnetic resonance imaging for the assessment of autonomic dysfunction in patients with antineutrophil cytoplasmic antibody-associated vasculitides.

Nervous system involvement is common in antineutrophil cytoplasmic antibody-associated vasculitides (AAV). While the involvement of the peripheral and central nervous system is well described, it is still unclear how and to what extent the autonomic nervous system (ANS) is affected. Functional magnetic resonance imaging (fMRI) can provide information on both structure and potential damage of the brain, as well as on the function of selected brain centers. The aim of this study was to investigate the ANS dysfunction in AAV patients and its correlation with the results of fMRI performed during the Valsalva maneuver. A total of 31 patients with AAV and 30 healthy controls were enrolled in the study. Each participant completed the Composite Autonomic Symptom Score (COMPASS)-31 questionnaire. MRI was performed using a 3T scanner. The participants were asked to perform the Valsalva maneuver according to the fixed protocol, and their airway pressure was monitored. During the maneuver, fMRI data were collected. The generalized least‑ squares time series analysis and the region of interest (ROI) analysis were subsequently performed. The patients with AAV had a higher median COMPASS‑ 31 score than the controls (12.86 vs 2.99, respectively; P <0.01). Structural MRI investigation did not reveal any significant differences between the groups. The brain centers involved in ANS function were detected during fMRI; however, the ROI analysis showed no differences between the study patients and controls. The patients with AAV reported symptoms related to the ANS dysfunction; however, no differences with respect to the functioning of the ANS brain centers were demonstrated between these patients and healthy controls in the fMRI study during the Valsalva maneuver.

Computed diffusion-weighted imaging with a low-apparent diffusion coefficient-pixel cut-off technique for breast cancer detection.

This study aimed to compare the image quality and diagnostic performance of computed diffusion-weighted imaging (DWI) with low-apparent diffusion coefficient (ADC)-pixel cut-off technique (cDWI cut-off) and actual measured DWI (mDWI). Eighty-seven consecutive patients with malignant breast lesions and 72 with negative breast lesions who underwent breast MRI were retrospectively evaluated. Computed DWI with high b-values of 800, 1200, and 1500 s/mm2 and ADC cut-off thresholds of none, 0, 0.3, and 0.6 (×10-3 mm2/s) were generated from DWI with two b-values (0 and 800 s/mm2). To identify the optimal conditions, two radiologists evaluated the fat suppression and lesion reduction failure using a cut-off technique. The contrast between breast cancer and glandular tissue was evaluated using region of interest analysis. Three other board-certified radiologists independently assessed the optimised cDWI cut-off and mDWI data sets. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis. When an ADC cut-off threshold of 0.3 or 0.6 (× 10-3 mm2/s) was applied, fat suppression improved significantly (p < .05). The contrast of the cDWI cut-off with a b-value of 1200 or 1500 s/mm2 was better than the mDWI (p < .01). The ROC area under the curve for breast cancer detection was 0.837 for the mDWI and 0.909 for the cDWI cut-off (p < .01). The cDWI cut-off provided better diagnostic performance than mDWI for breast cancer detection. Using the low-ADC-pixel cut-off technique, computed DWI can improve diagnostic performance by increasing contrast and eliminating un-suppressed fat signals.