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Background: Postoperative cognitive dysfunction (POCD) is a common complication of the central nervous system in elderly surgical patients. Structural MRI and arterial spin labelling (ASL) techniques found that the grey matter volume and cerebral perfusion in some specific brain areas are associated with the occurrence of POCD, but the results are inconsistent, and the predictive accuracy is low. We hypothesised that the combination of cortical grey matter volumetry and cerebral blood flow yield higher accuracy than either of the methods in discriminating the elderly individuals who are susceptible to POCD after abdominal surgery., Materials and Methods: Participants underwent neuropsychological testing before and after surgery. Postoperative cognitive dysfunction (POCD) was defined as a decrease in cognitive score of at least 20%. ASL-MRI and T1-weighted imaging were performed before surgery. We compared differences in cerebral blood flow (CBF) and cortical grey matter characteristics between POCD and non-POCD patients and generated receiver operating characteristic curves., Results: Out of 51 patients, 9 (17%) were diagnosed with POCD. CBF in the inferior frontal gyrus was lower in the POCD group compared to the non-POCD group ( p < 0.001), and the volume of cortical grey matter in the anterior cingulate gyrus was higher in the POCD group ( p < 0.001). The highest AUC value was 0.973., Conclusions: The combination of cortical grey matter volumetry and cerebral perfusion based on ASL-MRI has improved efficacy in the early warning of POCD to elderly abdominal surgical patients.

Background: Functional dyspepsia (FD) subtypes may differ in terms of pathophysiology, but the underlying mechanisms remain poorly understood., Purpose: To explore spontaneous brain activity in two main FD subtypes, namely epigastric pain syndrome (EPS) and postprandial distress syndrome (PDS), using the amplitude of low-frequency fluctuation (ALFF)., Material and Methods: Thirty-one FD patients (18 EPS and 13 PDS) and 22 matched healthy controls (HC) underwent resting-state functional MRI scanning. Spontaneous brain activity was evaluated by measuring the ALFF and then compared among the EPS, PDS, and HC groups with ANOVA test. Pearson correlation analysis was performed between the ALFF values and clinical indices., Results: Compared to healthy controls, both EPS and PDS patients had increased ALFF in the bilateral precentral/postcentral gyri, insula, and thalami. Furthermore, only the EPS patients displayed increased ALFF in the right middle and inferior frontal gyri, and only the PDS patients showed increased ALFF in the left posterior cingulate cortex (PCC). The ALFF values in the left thalamus were positively correlated with the sleep disturbance in EPS patients, and the ALFF values in the right precentral/postcentral gyri showed a positive correlation with the symptom score in PDS patients., Conclusion: EPS and PDS had similarities of higher spontaneous brain activity in the primary motor/sensory areas and homeostatic-afferent network regions, and differences in the prefrontal region and PCC, providing evidence to suggest the similarity and diversity of pathophysiology in FD subtypes.

Background: Post-traumatic stress disorder (PTSD) is associated with disruption of the brain network topology; however, little is known about the topological changes and sex effects in PTSD patients following a unique trauma, the loss of an only child, in China., Methods: Fifty-one lost-only-child parents with PTSD, 93 lost-only-child non-PTSD parents (NPTSD), and 50 healthy subjects underwent resting-state functional MRI. The whole-brain functional network was constructed by thresholding partial correlation matrices of 90 brain regions. Group differences in the topological properties, the diagnosis-by-sex interaction, and the relationships between topological metrics and clinical variables were investigated., Results: Compared with healthy subjects, PTSD and NPTSD groups exhibited significantly shorter path lengths and higher nodal centralities in many brain regions across sexes; however, no significant difference was found between the PTSD and NPTSD groups. Additionally, the global topological metrics did not show any sex difference, whereas the nodal centralities in the left insula, right inferior frontal gyrus, and right posterior cingulate cortex differed significantly only in women, and the nodal centralities in the bilateral anterior cingulate cortices and left hippocampus were significantly different only in men. Furthermore, the nodal centralities of the right parahippocampus demonstrated significant diagnosis-by-sex interaction., Limitation: Cross-sectional design of this study could not demonstrate the causality., Conclusions: The parents who lost their only child exhibited a shift toward randomization and significant nodal topological alterations independent of PTSD effects. Additionally, sex differences were observed primarily in the topological properties at the nodal level, which may indicate a neurobiological contribution to the greater incidence of PTSD in females., (Copyright © 2019. Published by Elsevier B.V.)

Background: Disturbance of the triple network model was recently proposed to be associated with the occurrence of posttraumatic stress disorder (PTSD) symptoms. Based on resting-state dynamic causal modeling (rs-DCM) analysis, we investigated the neurobiological model at a neuronal level along with potential neuroimaging biomarkers for identifying individuals with PTSD., Methods: We recruited survivors of a devastating typhoon including 27 PTSD patients, 33 trauma-exposed controls (TECs), and 30 healthy controls without trauma exposure. All subjects underwent resting-state functional magnetic resonance imaging. Independent components analysis was used to identify triple networks. Detailed effective connectivity patterns were estimated by rs-DCM analysis. Spearman correlation analysis was performed on aberrant DCM parameters with clinical assessment results relevant to PTSD diagnosis. We also carried out step-wise binary logistic regression and receiver operating characteristic curve (ROC) analysis to confirm the capacity of altered effective connectivity parameters to distinguish PTSD patients., Results: Within the executive control network, enhanced positive connectivity from the left posterior parietal cortex to the left dorsolateral prefrontal cortex was correlated with intrusion symptoms and showed good performance (area under the receiver operating characteristic curve = 0.879) in detecting PTSD patients. In the salience network, we observed a decreased causal flow from the right amygdala to the right insula and a lower transit value for the right amygdala in PTSD patients relative to TECs., Conclusion: Altered effective connectivity patterns in the triple network may reflect the occurrence of PTSD symptoms, providing a potential biomarker for detecting patients. Our findings shed new insight into the neural pathophysiology of PTSD.

Purpose: To investigate imaging features of crossed cerebellar diaschisis (CCD) in cerebral gliomas, and its underlying pathophysiological mechanisms., Methods: Thirty-three pre-surgical patients with cerebral gliomas and 33 healthy controls underwent arterial spin-labeling, diffusion tensor imaging, and high-resolution T1-weighted imaging using MRI, in order to estimate cerebral blood flow (CBF), white matter integrity, and lesion volume, respectively. Asymmetry indices of CBF in the cerebellum were used for evaluating the level of CCD in the patients. These indices were correlated with clinical variables (lesion size and position, tumor histological grade, and CBF asymmetry) and diffusion tensor imaging parameters (fractional anisotropy and number of fibers in the cortico-ponto-cerebellar pathway and across the cerebral hemispheres), respectively., Results: The patients showed decreased CBF in the cerebellar hemisphere contralateral to the supratentorial tumor, and increased CBF asymmetry in the cerebellum (both P < 0.05). CCD levels in high-grade gliomas were higher than those of low-grade gliomas (P < 0.05). CCD levels were negatively correlated with the size of the supratentorial lesions, and positively correlated with FA asymmetry in the cerebral fibers (both P < 0.05)., Conclusions: CCD in cerebral gliomas was specifically associated with tumor histological grade, lesion size, and white matter impairments in the hemisphere ipsilateral to the tumor. The findings implicated that observing CCD might have potential for assisting grading diagnosis of cerebral gliomas.

• DP module. We propose the DP module, guiding the model to extract age-related normal atrophy features and disease-specific pathological atrophy features. • Residual multi-head self-attention. We further marginally enhance feature extraction by using residual multi-head self-attention (rMHSA) in the DP module. • FO module. We design the FO module to further distinguish these two types of atrophy features. Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Mild cognitive impairment (MCI) is the prodromal stage of AD. Accurate identification of these conditions is crucial for the early diagnosis of these diseases. Brain tissue atrophies, observable in regions such as the hippocampus and cortice s , serve as an essential biomarker for MCI and AD. However, similar atrophies are also present in elderly individuals with normal cognitive function, albeit to a lesser extent, and can be found in other non-biomarker brain tissues. To address this challenge, we introduce an atrophy disentanglement network (AD-Net), designed to decouple age-related normal atrophies and disease-specific pathological atrophies in structural magnetic resonance imaging images. Specifically, we first design a dual-task prediction module, guiding the model to differentiate normal and pathological atrophies. Subsequently, we devise a feature orthogonality module for enhanced separation of the two types of atrophies. Our extensive experiments demonstrate that AD-Net outperforms existing methods, highlighting the efficiency of the devised dual-task prediction and feature orthogonality modules in disentangling normal and pathological image features and further improving the diagnosis for AD and MCI. The source code is publicly avaliable at https://github.com/CVAPPS24/ADNet.git. [ABSTRACT FROM AUTHOR]

To investigate the influence of epileptogenic cortex (Rolandic areas) with executive functions in Rolandic epilepsy using structural covariance analysis of structural magnetic resonance imaging (MRI). Structural MRI data of drug-naive patients with Rolandic epilepsy (n = 70) and typically developing children as healthy controls (n = 83) were analyzed using voxel-based morphometry. Gray matter volumes in the patients were compared with those of healthy controls, and were further correlated with epilepsy duration and cognitive score of executive function, respectively. By applying Granger causal analysis to the sequenced morphometric data according to disease progression information, causal network of structural covariance was constructed to assess the causal influence of structural changes from Rolandic cortices to the regions engaging executive function in the patients. Compared with healthy controls, epilepsy patients showed increased gray matter volume in the Rolandic regions, and also the regions engaging in executive function. Covariance network analyses showed that along with disease progression, the Rolandic regions imposed positive causal influence on the regions engaging in executive function. In the patients with Rolandic epilepsy, epileptogenic regions have causal influence on the structural changes in the regions of executive function, implicating damaging effects of Rolandic epilepsy on human brain. [ABSTRACT FROM AUTHOR]

Background: Losing one's only child is a major traumatic life event that may lead to post-traumatic stress disorder (PTSD); however, the underlying mechanisms of its psychological consequences remain poorly understood. Here, we investigated subregional hippocampal functional connectivity (FC) networks based on resting-state functional magnetic resonance imaging and the deoxyribonucleic acid methylation of the human glucocorticoid receptor gene (NR3C1) in adults who had lost their only child. Methods: A total of 144 Han Chinese adults who had lost their only child (51 adults with PTSD and 93 non-PTSD adults [trauma-exposed controls]) and 50 controls without trauma exposure were included in this fMRI study (age: 40–67 years). FCs between hippocampal subdivisions (four regions in each hemisphere: cornu ammonis1 [CA1], CA2, CA3, and dentate gyrus [DG]) and methylation levels of the NR3C1 gene were compared among the three groups. Results: Trauma-exposed adults, regardless of PTSD diagnosis, had weaker positive FC between the left hippocampal CA1, left DG, and the posterior cingulate cortex, and weaker negative FC between the right CA1, right DG, and several frontal gyri, relative to healthy controls. Compared to non-PTSD adults, PTSD adults showed decreased negative FC between the right CA1 region and the right middle/inferior frontal gyri (MFG/IFG), and decreased negative FC between the right DG and the right superior frontal gyrus and left MFG. Both trauma-exposed groups showed lower methylation levels of the NR3C1 gene. Conclusions: Adults who had lost their only child may experience disrupted hippocampal network connectivity and NR3C1 methylation status, regardless of whether they have developed PTSD. [ABSTRACT FROM AUTHOR]

Objective: Temporal lobe epilepsy (TLE) is the most common drug‐resistant epilepsy in adults. Although it is commonly related to hippocampal pathology, increasing evidence suggests structural changes beyond the mesiotemporal lobe. Functional anomalies and their link to underlying structural alterations, however, remain incompletely understood. Methods: We studied 30 drug‐resistant TLE patients and 57 healthy controls using multimodal magnetic resonance imaging (MRI) analyses. All patients had histologically verified hippocampal sclerosis and underwent postoperative imaging to outline the extent of their surgical resection. Our analysis leveraged a novel resting‐state functional MRI framework that parameterizes functional connectivity distance, consolidating topological and physical properties of macroscale brain networks. Functional findings were integrated with morphological and microstructural metrics, and utility for surgical outcome prediction was assessed using machine learning techniques. Results: Compared to controls, TLE patients showed connectivity distance reductions in temporoinsular and prefrontal networks, indicating topological segregation of functional networks. Testing for morphological and microstructural associations, we observed that functional connectivity contractions occurred independently from TLE‐related cortical atrophy but were mediated by microstructural changes in the underlying white matter. Following our imaging study, all patients underwent an anterior temporal lobectomy as a treatment of their seizures, and postsurgical seizure outcome was determined at a follow‐up at least 1 year after surgery. Using a regularized supervised machine learning paradigm with fivefold cross‐validation, we demonstrated that patient‐specific functional anomalies predicted postsurgical seizure outcome with 76 ± 4% accuracy, outperforming classifiers operating on clinical and structural imaging features. Significance: Our findings suggest connectivity distance contractions as a macroscale substrate of TLE. Functional topological isolation may represent a microstructurally mediated network mechanism that tilts the balance toward epileptogenesis in affected networks and that may assist in patient‐specific surgical prognostication. [ABSTRACT FROM AUTHOR]

Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder resulting from a dysregulation of the brain-gut axis. However, its exact neural substrate still remains unclear. This study investigated the changes of intrinsic whole brain functional connectivity pattern in IBS using functional connectivity density (FCD). We acquired resting-state functional magnetic resonance imaging (rs-fMRI) data from thirty-two IBS patients and thirty-two healthy controls. Functional connectivity density, a data-driven algorithm, was used to compute the long-range and short-range FCD values for each voxel in the brain of each subject, implying the amount of distant and local functional connections of cortical hubs. The FCD maps were compared between IBS patients and healthy controls. Pearson correlations analysis was also performed between abnormal FCD values and clinical/psychometric scores in patients. Compared to healthy controls, IBS patients showed concurrently decreased long- and short-range FCD in bilateral anterior midcingulate cortices (aMCC) and inferior parietal lobules (IPL), and decreased long-range FCD in right anterior insula, and decreased short-range FCD in bilateral prefrontal cortices, subgenual anterior cingulate cortices and caudates. IBS patients also had concurrently increased long- and short-range FCD mainly in primary sensorimotor cortices, as well as increased long-range FCD in right supplementary motor area and increased short-range FCD in occipital lobe. In addition, some regions with altered FCD showed abnormal functional connectivity in brain regions involved in pain matrix of IBS patients. Furthermore, the abnormal FCD values in right anterior insula and left caudate showed significant correlation with severity of symptoms and disease duration of IBS patients respectively. In conclusion, patients with IBS have widely disrupted FCD, which decreased in brain regions involved in homeostatic afferent network, emotional arouse, and cognitive regulation, while increased in regions associated with sensorimotor modulation. And the observed functional connectivity alterations unveiled complicated working patterns of pain matrix in IBS patients. This study may provide us with new insight into the underlying brain network topology of IBS. [ABSTRACT FROM AUTHOR]