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Objective To explore the changes in brain structure after short-term withdrawal therapy in patients with alcohol use disorder(AUD).Methods A total of 28 male patients with AUD were included,and brain MRI scans were performed at the time of enrollment and 2-3 weeks after standardized treatment.The total volume of brain tissue,gray matter,white matter and cerebrospi-nal fluid volume before and after treatment were measured by voxel-based morphometry(VBM)technology,and the gray matter volume of each brain region of the whole brain was measured and statistically analyzed according to the automated anatomical labeling(AAL)template.Results Compared with the baseline data,after 2-3 weeks of standardized treatment,the volume of gray matter in brain tissue increased significantly,and the volume of cerebrospinal fluid decreased significantly.Compared with before treatment,the brain regions with increased gray matter volume in the left hemisphere were distributed in the medial and paracingulate gyrus,central sulcus cover,anterior wedge lobe and insula,and the brain regions with increased gray matter volume in the right hemisphere were distributed in the anterior cingulate gyrus,paracingulate gyrus,central sulcus cover,amygdala,superior temporal gyrus,middle temporal gyrus,transverse temporal gyrus,anterior cuneiformus,posterior central gyrus,superior marginal gyrus,peritaloid cortex and insula.Conclusion Patients with AUD experience some increases in gray matter volume,especially in the prefrontal lobe,after short-term withdrawal therapy.
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Bipolar disorder(BD)is a class of common psychiatric disorders,and its high morbidity,disability,and mortality have attracted widespread attention.However,in clinical practice,the initial accurate diagnosis rate of BD is low and easily misdiagnosed as monophasic depression.Many neuroimaging studies have shown that cortical thickness,gray matter,white matter,and functional activities are altered in some brain regions of BD patients.However,their specific neuroimaging indexes have not been clarified,and the specific pathophysi-ological mechanisms for the onset of BD have not been fully elucidated.Therefore,in this paper,we combed through the recent years of BD patients to study the cortical structure and perfusion of the brain to review the methods in anticipation of more in-depth research at a later stage.
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Objective:To investigate the underlying neuroimaging mechanism of migraine without aura (MwoA) by using methods of voxel-based morphometry (VBM) and resting-state functional connectivity (FC).Methods:Twenty-five MwoA patients admitted to Department of Neurology, the Second Affiliated Hospital of Xuzhou Medical University from September 2020 to June 2023 were recruited as MwoA group, and 22 volunteers were recruited as healthy control (HC) group. Demographic, clinical characteristics, scores of Hamilton Anxiety Scale (HAMA), Hamilton Depression Rating Scale (HAMD) and Montreal Cognitive Assessment (MoCA) of all subjects were collected; MwoA patients also received Migraine Disability Assessment Questionnaire, Headache Impact Test-6 and headache Visual Analogue Scale assessments. All subjects underwent high-resolution 3D-T 1 and resting-state functional magnetic resonance imaging scanning. The SPM12 software was used to compare the difference in gray matter volume (GMV) between the 2 groups by VBM method. The GRETNA software was adopted to calculate the whole brain FC with anatomical automatic labeling 90 as the regions of interest, and the difference in FC between the 2 groups was statistically analyzed by two-sample t-test. Pearson partial correlation was used to analyze the correlation between brain GMV and FC changes and clinical features and scale scores of MwoA patients. Results:There existed no statistically significant difference between the 2 groups in age, gender, education, scores of HAMA, HAMD and MoCA (all P>0.05). Migraine Disability Assessment Questionnaire, Headache Impact Test-6 and headache Visua Analogue Scale scores of MwoA patients were (8.86±4.55), (50.27±6.35) and (6.68±1.73). Compared with the HC group, GMV was significantly decreased in the right superior frontal gyrus (SFG), right cingulate gyrus (CG) and left thalamus in the MwoA group ( P<0.05, false discovery rate corrected). In addition, the MwoA group showed decreased FC between left thalamus and right cuneus, left lingual gyrus (LG) and bilateral precuneus; decreased FC between right thalamus and right cuneus, right LG and right precuneus; decreased FC between right cuneus and left precuneus and right SFG; decreased FC between left LG and bilateral precuneus, decreased FC between right LG and right precuneus and left SFG; decreased FC between left precuneus and bilateral SFG, and between right precuneus and right SFG (edge P<0.001, component P<0.05, network-based statistics correction, interation=2 000). In MwoA patients, the FC (z-value) between left thalamus and right cuneus was negatively correlated with the duration of disease ( r=-0.530, P=0.011). Conclusions:MwoA patients showed decreased GMV in right SFG, CG and left thalamus. In MwoA patients, FC between thalamus and visual network (VN) and default mode network (DMN) was significantly decreased, and FC among VN, DMN and executive control network was significantly decreased. These changes in brain structure and function may be an adaptive change in the central sensitivity and responsiveness to pain stimuli, and may be an important neuroimaging mechanism of MwoA.
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Objective To explore specific magnetic resonance imaging(MRI)features of somatic symptoms in depression by comparing the differences of brain gray matter volume in depression patients with and without somatic symptoms using voxel-based morphometry(VBM).Methods A total of 52 depression patients were recruited and divided into somatic and no somatic symptoms group according to the patient health questionnaire-15 score(>9 and≤9,respectively).Forty gender-age-matched healthy volunteers were recruited as the control group.All subjects underwent MRI scanning.Imaging data were analyzed to explore the differences in brain gray matter between groups using VBM.Results Compared with control group,gray matter volume increased in the right superior temporal gyrus,and decreased in the right inferior orbitofrontal gyrus,right inferior temporal gyrus,left inferior orbitofrontal gyrus,and left superior temporal gyrus for depressive patients with somatic symptoms(P<0.001);gray matter volume increased in the right middle temporal gyrus,and decreased in the right superior temporal gyrus and right inferior temporal gyrus for depressive patients without somatic symptoms(P<0.001).Only the volume in the right tongue and left cingulate gyrus increased in depressive patients with somatic symptoms compared with that in patients without somatic symptoms(P<0.01).Conclusion VBM-MRI has demonstrated increased volume in the tongue and cingulate gyrus in the somatic symptoms of depression.
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OBJECTIVE@#To investigate the changes in gray matter volume in depressive-like mice and explore the possible mechanism.@*METHODS@#Twenty-four 6-week-old C57 mice were randomized equally into control group and model group, and the mice in the model group were subjected to chronic unpredictable mild stimulation (CUMS) for 35 days. Magnetic resonance imaging was performed to examine structural changes of the grey matter volume in depressive-like mice. The expression of brain-derived neurotrophic factor (BDNF) in the grey matter of the mice was detected using Western blotting and immunofluorescence staining.@*RESULTS@#Compared with the control mice, the mice with CUMS showed significantly decreased central walking distance in the open field test (P < 0.05) and increased immobile time in forced swimming test (P < 0.05). Magnetic resonance imaging showed that the volume of the frontal cortex was significantly decreased in CUMS mice (P < 0.001, when the mass level was greater than or equal to 10 756, the FDRc was corrected with P=0.05). Western blotting showed that the expression of mature BDNF in the frontal cortex was significantly decreased in CUMS mice (P < 0.05), and its expression began to decrease after the exposure to CUMS as shown by immunofluorescence staining. The volume of different clusters obtained by voxel-based morphometry (VBM) analysis was correlated with the expression level of mature BDNF detected by Western blotting (P < 0.05).@*CONCLUSION@#The decrease of frontal cortex volume after CUMS is related with the reduction of mature BDNF expression in the frontal cortex.
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Animaux , Souris , Technique de Western , Facteur neurotrophique dérivé du cerveau , Cortex cérébral , Dépression/physiopathologie , Lobe frontal/anatomopathologieRÉSUMÉ
Objective To explore the correlation between changes of gray matter volume and related cognitive impairment domains in patients with cognitive impairment of cerebral small vessel disease(CSVD)based on 7.0T magnetic resonance imaging(MRI)and voxel-based morphometry(VBM).Methods All subjects were recruited from the study on Correlation between Cerebral Deep Medullary Vein Morphology and Cognitive Impairment due to Cerebral Small Vessel Disease(registration No.:ChiCTR2100045136)from September 2021 to June 2023.We retrospectively enrolled CSVD patients with cognitive impairment as CSVD group and healthy controls with matched age,gender and education level as control group according to inclusion and exclusion criteria.Montreal cognitive assessment(MoCA)scale(Beijing version)score<26 was divided into cognitive impairment.All subjects was assessed with MoCA,digit span test(DST),digit symbol substitution test(DSST),trail making test-A(TMT-A),verbal fluency test(VFT),Boston naming test(BNT)and auditory verbal learning test(AVLT).All subjects underwent 7.0T brain MRI scan to acquire T1-weighted three-dimensional magnetization prepared 2 rapid gradient echo(T1WI-MP2RAGE)for VBM analysis.General data and above cognitive function scores were compared between 2 groups.VBM analysis was used to compare the gray matter volume(GMV)between 2 groups and get mean GMV of significant brain regions of CSVD to explore the correlation between regions and cognitive function scores.Results(1)There were 18 individuals in control group,aged 55-70 years,and 19 individuals in CSVD group,aged 57-75 years.There was no significant difference in age,gender,education,body mass index,history of coronary heart disease,history of hyperlipidemia,smoking,drinking,total cholesterol,triglyceride,low density lipoprotein and high density lipoprotein between the two groups(all P>0.05).But the proportion of hypertension and diabetes history in the CSVD group was higher than control group,and there were significant differences between the two groups(12/19 vs.5/18,7/19 vs.0;all P<0.05).(2)The scores of MoCA scale(22.0[20.0,23.0]vs.27.0[26.0,28.0],Z=-5.242),DSST(18±9 vs.40±4,t=5.212),DST(10.6±2.5 vs.13.9±2.0,t=4.364),VFT(38±11 vs.47±8,t=3.224),AVLT-immediate memory(13±3 vs.21±4,t=6.877),AVLT-short delay recall(3.4±2.5 vs.6.9±2.2,t=4.555)and BNT(22.7±3.6 vs.27.0±2.1,t=4.357)in CSVD group were lower than those in the control group.The time taken to complete TMT-A in CSVD group was longer than the control group(93.00[76.04,125.69]s vs.29.77[25.75,40.97]s,Z=-4.832).The difference of the above between two group was statistically significant(all P<0.01).(3)Brain parenchymal fraction in CSVD group was lower than control group,and there was significant difference between two group([78.2±4.3]%vs.[80.9±3.7]%,t=2.079,P<0.05).VBM analysis showed that gray matter volume of right inferior temporal gyrus(rITG)and right Crus 2 of cerebellar hemisphere(rCERCRU2)in CSVD group was significantly lower than control group(both P<0.05 and corrected by false discovery rate).(4)Partial correlation analysis showed a positive correlation between gray matter volume in rITG and AVLT-short delay recall score(r=0.543,P=0.036).Conclusions CSVD patients with cognitive impairment had gray matter atrophy in rITG and rCERCRU2 and the gray matter volume in rITG was correlated with delayed memory impairment.The results of this study need to be further verified.
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Objective:To explore the brain structural changes in patients with post-traumatic stress disorder (PTSD) after traffic accident.Methods:Forty-six patients with PTSD (PTSD group) who received treatment in Psychology Department, Second People's Hospital of Guangdong Province from January 2021 to June 2022 after traffic accidents and 49 gender- and age-matched normal healthy subjects (control group) were selected; all subjects underwent MRI 3D-T1WI structural imaging of the whole brain. Voxel-based morphometry (VBM) was used to detect the volume differences of the gray matter between the two groups. The correlations of volumes of the gray matter in PTSD group which was different from that in the control group with Clinician-Administered PTSD Scale (CAPS), PTSD Checklist-Civilian Version (PCL-C) and Hamilton Rating Scale for Depression (HAMD) were analyzed.Results:Compared with control group, patients in PTSD group had significantly decreased gray matter volumes in the left hippocampus, left postcentral gyrus and right superior frontal gyrus ( P<0.001, adjusted GRF); no regions with increased gray matter volumes were noted. The gray matter volume in the left postcentral gyrus was negatively correlated with CAPS scores in PTSD patients ( r=-0.443, P=0.002); the gray matter volumes in other brain regions with differences were not correlated with CAPS, PCL-C or HAMD scores ( P>0.05). Conclusion:Structural changes of the left hippocampus, left postcentral gyrus and right superior frontal gyrus are observed in PTSD patients caused by traffic accidents, and the gray matter volume of left postcentral gyrus is related to severity of PTSD clinical symptoms.
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Objective:To explore the pathogenesis of glossopharyngeal neuralgia (GPN) in central nervous system from perspective of brain morphology.Methods:A prospective study was performed. Twenty-seven patients with right primary GPN admitted to Department of Neurosurgery, People's Hospital of Peking University from April 2019 to June 2023 and 27 healthy subjects (controls) matched with age, gender, dominant hand, and education level during the same period were recruited. These patients were divided into GPN with neurovascular compression group ( n=18) and GPN without neurovascular compression ( n=9) based on intraoperative presence of neurovascular compression. SPM8 software based on Matlab R2017b programming platform and VBM8 toolbox were used to process the whole-brain high-resolution 3D-T1 brain structural image data of the participants and analyze the differences in the gray matter volume of each brain region between the 2 groups. Pearson correlation was applied to analyze the correlations of gray matter volumes in brain regions enjoying significant difference with baseline data and pain characteristics of these GPN patients. Results:Compared with controls, patients with GPN had significantly reduced gray matter volumes in the left anterior cingulate gyrus, middle temporal gyrus, transverse temporal gyrus, precentral gyrus, postcentral gyrus, right insula, thalamus, inferior parietal lobule, precentral gyrus, middle temporal gyrus, and inferior temporal gyrus ( P<0.05, FDR corrected). Compared with GPN patients with neurovascular compression, GPN patients without neurovascular compression had significantly reduced gray matter volume in the bilateral anterior cingulate gyrus ( P<0.05, FDR corrected). Changes of gray matter volume in the right insula were negatively correlated with disease duration of GPN patients ( r=-0.521, P=0.005). Conclusion:GPN patients have extensive gray matter atrophy in the brain, which may play an essential role in GPN development and maintenance.
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Non-invasive brain stimulation (NIBS) probing the dorsolateral prefrontal cortex (DLPFC) has been shown to have little effect on working memory. The variability of NIBS responses might be explained by inter-subject brain anatomical variability. We investigated whether baseline cortical brain thickness of regions of interest was associated with working memory performance after NIBS by performing a secondary analysis of previously published research. Structural magnetic resonance imaging data were analyzed from healthy subjects who received transcranial direct current stimulation (tDCS), intermittent theta-burst stimulation (iTBS), and placebo. Twenty-two participants were randomly assigned to receive all the interventions in a random order. The working memory task was conducted after the end of each NIBS session. Regions of interest were the bilateral DLPFC, medial prefrontal cortex, and posterior cingulate cortex. Overall, 66 NIBS sessions were performed. Findings revealed a negative significant association between cortical thickness of the bilateral dorsolateral prefrontal cortex and reaction time for both tDCS (left: P=0.045, right: P=0.037) and iTBS (left: P=0.007, right: P=0.007) compared to placebo. A significant positive association was found for iTBS and posterior cingulate cortex (P=0.03). No association was found for accuracy. Our findings provide the first evidence that individual cortical thickness of healthy subjects might be associated with working memory performance following different NIBS interventions. Therefore, cortical thickness could explain - to some extent - the heterogeneous effects of NIBS probing the DLPFC.
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Objective:To analyze the changes of gray matter volume and resting-state functional connectivity in children with attention deficit hyperactivity disorder (ADHD) comorbid with oppositional defiant disorder (ODD).Methods:A total of 22 ADHD comorbid with ODD children (ADHD-ODD group, n=22) were selected from a public-assess resting-state fMRI ADHD cohort, namely, ADHD-200.Meanwhile, 22 age- and sex- matched ADHD children without ODD (ADHD group, n=22) and 22 healthy children(control group, n=22) were also included.T1-weighted MRI and resting-state fMRI scans were performed on all of the participants.The voxel-based morphometric (VBM) method was used to compare the volume of gray matter in three groups.The gray matter with aberrant volume was set as the region of interest(ROI) for mapping the functional connectivity of the whole brain.For comparison of gray matter volumes, one-way ANOVA and two-sample t-test analysis were applied, while two-sample t-test analysis was used for comparison of functional connectivity. Results:Compared with the control group, ADHD-ODD group showed decreased gray matter volume in the left cerebellum anterior lobe (MNI coordinate: x, y, z=-19.5, -42, -18) and right cerebellum anterior lobe (MNI coordinate: x, y, z=19.5, -39, -21). The left cerebellum anterior lobe showed increased functional connectivity with left superior frontal gyrus, left middle frontal gyrus (MNI coordinate: x, y, z=-24, 19, 43), right superior frontal gyrus, right middle frontal gyrus (MNI coordinate: x, y, z=30, 9, 45) and bilateral precuneus, posterior cingulate gyrus(MNI coordinate: x, y, z=-6, -35, 24). Compared with the ADHD group, ADHD-ODD group showed decreased gray matter volume in the right cerebellum anterior lobe (MNI coordinate: x, y, z=19.5, -37.5, -22.5). The right cerebellum anterior lobe showed increased functional connectivity with bilateral superior frontal gyrus, bilateral middle frontal gyrus, bilateral medial frontal gyrus, anterior cingulate gyrus and posterior cingulate gyrus(MNI coordinate: x, y, z=18, -12, 42), bilateral cuneus, bilateral lingual gyrus(MNI coordinate: x, y, z=9, -87, 27).Conclusion:ADHD comorbid with ODD children show decreased cerebellum volume and excessive functional connectivity with several brain regions of the cerebral hemispheres, which may be one of the neuropathological bases of cognitive, emotional, and behavioral disorders.
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Objective:To investigate the effect of coping style on the gray matter volume in patients with post-traumatic stress disorder (PTSD) who lost their only child, and the mediating role of gray matter volume in evaluating the influence of coping style in clinical symptoms of these parents.Methods:A total of 57 parents with PTSD (PTSD group) and 162 parents without PTSD (non-PTSD group) who lost their only child from September 2016 to March 2017 were enrolled from Jiangsu Province, China. Brain MRI data at resting state were collected. Voxel-based multiple regression analysis was performed to confirm the brain areas in which coping style main effect, diagnosis main effect and their interaction had significant influences in gray matter volumes. Correlations among gray matter volume of brain areas related to coping style, coping style scale scores, and clinician-administered PTSD scale (CAPS) scores were analyzed. Structural equation modeling was used to analyze the mediating role of gray matter volume in the influence of coping style in clinical symptoms of parents lost their only child.Results:(1) The coping style main effect did not significantly influence the gray matter volume in all subjects, and the diagnosis main effect had significant influence in gray matter volume in the right lingual gyrus; their interaction had significant influence in gray matter volume in the right peritalar fissure cortex and lingual gyrus. The positive coping style in the PTSD group had significant influence in the gray matter volumes of the right peritalar fissure cortex and lingual gyrus. (2) In the PTSD group, the scores of positive coping style were positively correlated with the gray matter volumes of the right talus fissure and the lingual gyrus ( P<0.05); the scores of positive coping style, and the gray matter volumes of the right talus fissure and the lingual gyrus were negatively correlated with scores of CAPS-C 5 and CAPS-C ( P<0.05). (3) In the PTSD group, positive coping style can positively predict the gray matter volumes of the right talus fissure and the lingual gyrus; the gray matter volumes of the right talus fissure and the lingual gyrus can negatively predict the avoidance-related symptoms. Conclusion:Positive coping style has influence in the gray matter volumes of the right talar fissure and lingual gyrus of PTSD patients lost their only child; and less positive coping style may affect the brain areas related to visual information processing, thus aggravating avoidance-related symptoms of PTSD patients.
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@#To analyze the characteristics of brain gray matter volume changes and ApoE gene polymorphism in aMCI patients with compared with normal elderly people by voxel-based MRI morphometry and gene detection technology. Exploring the possible correlation in those changes and the pathogenesis of aMCI. Methods Recruiting 14 aMCI patients and 15 normal elderly people who were matched with each other by age,gender,ethnicity,education,living background and determined no blood relationship. To give every case three-dimensional T1WI scan with 3.0T magnetic resonance imaging. We use the SPM12-based DARTEL toolbox to preprocess the structural images obtained from the scan,and then compare voxel-based statistical results of the whole brain gray matter volume of the aMCI group and the control. Detecting the ApoE gene by drawing blood to identify the allele and genotype of the ApoE gene in each sample. The data obtained was analyzed by SPSS20.0 software to calculate the allele frequency and genotype frequency of the three groups of ApoE genes. Results The ε3/ε4 genotype in the group aMCI was significant difference between the aMCI and the control(P<0.05). Compared with the control,the gray matter atrophy of the aMCI was mainly located in the left insula,superior frontal gyrus,middle frontal gyrus,anterior insula,posteriorcentral gyrus,ventromedial prefrontal lobe,bilateral superior parietal lobule,right angular gyrus. Conclusion ApoE gene polymorphism was associated with the morbidity of patients with aMCI,and ApoEε4 may be a risk factor for aMCI. The thalamus,posterior cingulate cortex were also involved.Gray matter atrophy in patients with aMCI was mainly located in the parietal lobule and the insular.
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@#Objective Voxel-based morphological analysis was used to explore the changes of gray matter volume in patients with first-episode untreated depression,and to explore the structural changes of brain regions in patients with depression,so as to provide new ideas for in-depth understanding of the pathogenesis of depression.Methods 30 patients with first-episode untreated depression and 22 healthy volunteers were included. Used the PHILPS 3.0T MRI scanner for sagittal three-dimensionl brain structre scans,the brain structure images of the two groups were studied by the VBM method to explore the changes of gray matter volume in patients with first-episode untreated depression.Results Compared to healthy controls,the volume of gray matter in left middle tempral gyrus,right inslar lobe,left supeior occiptal gyrus and right dorsolteral supeior frontal gyrus were decresed in the first-episode untreated depression group(P<0.05,cluster size>45,AlphaSim correction),no region increased.Conclusion The brain regions with decreased gray matter volume in patients with first-episode untreated depression are mainly located in frontal lobe,temporal lobe,occipital lobe and insular lobe,indicating that the occurrence and development of depression is related to multiple brain regions.
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Objective To investigate the abnormalities of gray matter volume in obsessive-compulsive disorder (OCD) patients relative to controls using the method of voxel-based morphometry (VBM), and to analyze the extent of change relative to clinical symptom. Methods Using VBM to compare the MRI images of 31 adult OCD patients with 31 healthy controls. Correlation analyses were conducted between the structural abnormalities of gray matter volume in each brain area among patients relative to their clinical scores. Results Compared with the healthy controls, the OCD patients showed reductions of gray matter volume in left putamen, insula, premotor area, superior parietal and right angular gyrus (P<0.01, Alphasim corrected). The gray matter volumes of left putamen and insular in the OCD patients showed a negative correlation with the Beck anxiety inventory (BAI) scores. Conclusion The changes in gray matter volumes of left putamen, insula, premotor area, superior parietal lobule and right angular gyrus may be related to the pathogenesis of OCD. The declines of left putamen and insula are related to the abnormal anxiety in the OCD patients.
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Persons with drug refractory TLE have the option of being managed by surgery. They may develop memoryimpairment with specific etiology of mesial temporal sclerosis and anterior temporal lobe resection (ATLR).The study evaluated the semantic verbal memory outcomes in pre- and post-surgery temporal lobe epilepsy(TLE) patients using functional MRI and voxel morphometric methods. Twenty consecutive persons withdrug-resistant epilepsy (DRE) and 20 healthy controls were recruited after obtaining the institute ethicsapproval. The fMRI scans were performed on a 1.5 T MR Scanner using standardized semantic verbal memorytasks using a native Hindi paradigm, before and after an anterior temporal lobectomy (in cases). A task-basedfunctional connectivity (FC) was estimated using a conn toolbox. Data analysis was carried out using thestatistical parametric imaging (SPM12) and CAT12 toolbox. Post-surgery TLE group showed increased robustFC in the right middle and posterior temporal regions as compared to pre-surgery session. A significantreduction in grey matter volume was observed in the left temporal lobe post-operatively as compared to presurgery and healthy control groups. In the post-surgery TLE group, neuropsychological scores were reduced inspecific PGI domains such as visuospatial, working memory, and executive functioning. Our results may helpin understanding of memory reorganization in TLE post-operatively.
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Objective@#To analyze the physiological basics for changes of cerebral functions in patients with congenital hereditary hearing loss (CHHL), by using voxel-based morphometry (VBM).@*Methods@#From June 2016 to June 2017, we recruited volunteers from Yangzhou Special Education School and CHHL patients from the Department of Otorhinolaryngology, Subei People′s Hospital as a case group with a total of 14 cases (8 males and 6 females), with an average age from 10 to 18 (13.13 ± 0.39). At the same time,patients with no ear diseases were recruited as a control group, a total of 23 cases (10 males and 13 females), with an average age from 10 to18 (13.50 ± 0.49). Brain scanning with resting state functional magnetic resonance imaging was performed on all subjects, and 3D T1WI was collected and processed by the analyzing software. Two sample t-tests were conducted with alphasim correction at the threshold level of P<0.001. Different morphologies of cerebral cortex were identified between patients with CHHL and their normal controls retrospectively.@*Results@#Compared to their normal controls, patients with CHHL had no significant difference in terms of brain volume, gray matter volume, white matter volume, and cerebrospinal fluid volume ((1 397.53±103.98)cm3 vs. (1 439.45±128.84)cm3, (765.19±60.27)cm3 vs. (800.139±77.64)cm3, (392.89±40.38)cm3 vs. (414.54±49.22)cm3, (314.17±25.81)cm3 vs. (296.47±51.42)cm3, all P>0.05). However, compared to their normal controls, patients with CHHL had significantly increased (P<0.001) gray matter in the following cerebral gyri: right temporal pole: middle temporal gyrus, right inferior temporal gyrus, left middle occipital gyrus, right inferior parietal gyrus, and left middle frontal gyrus, left superior occipital gyrus, right superior frontal gyrus, and left superior frontal gyrus. Furthermore, compared to their normal controls, patients with CHHL had significantly decreased (P<0.001) gray matter in the following cerebral gyri: left parahippocampal gyrus, right fusiform gyrus, right middle frontal gyrus, left inferior temporal gyrus, right middle occipital gyrus, left insula, right inferior frontal gyrus, left precentral gyrus, and right superior parietal gyrus.@*Conclusions@#Patients with CHHL show global changes in cerebral cortex not limited to auditory associated cerebral areas. This suggests that adaptable reshaping of global brain structures and functions has occurred in patients with CHHL.
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The human striatum is essential for both low- and high-level functions and has been implicated in the pathophysiology of various prevalent disorders, including Parkinson's disease (PD) and schizophrenia (SCZ). It is known to consist of structurally and functionally divergent subdivisions. However, previous parcellations are based on a single neuroimaging modality, leaving the extent of the multi-modal organization of the striatum unknown. Here, we investigated the organization of the striatum across three modalities-resting-state functional connectivity, probabilistic diffusion tractography, and structural covariance-to provide a holistic convergent view of its structure and function. We found convergent clusters in the dorsal, dorsolateral, rostral, ventral, and caudal striatum. Functional characterization revealed the anterior striatum to be mainly associated with cognitive and emotional functions, while the caudal striatum was related to action execution. Interestingly, significant structural atrophy in the rostral and ventral striatum was common to both PD and SCZ, but atrophy in the dorsolateral striatum was specifically attributable to PD. Our study revealed a cross-modal convergent organization of the striatum, representing a fundamental topographical model that can be useful for investigating structural and functional variability in aging and in clinical conditions.
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A systematic characterization of the similarities and differences among different methods for detecting structural brain abnormalities in schizophrenia, such as voxel-based morphometry (VBM), tensor-based morphometry (TBM), and projection-based thickness (PBT), is important for understanding the brain pathology in schizophrenia and for developing effective biomarkers for a diagnosis of schizophrenia. However, such studies are still lacking. Here, we performed VBM, TBM, and PBT analyses on T1-weighted brain MR images acquired from 116 patients with schizophrenia and 116 healthy controls. We found that, although all methods detected wide-spread structural changes, different methods captured different information - only 10.35% of the grey matter changes in cortex were detected by all three methods, and VBM only detected 11.36% of the white matter changes detected by TBM. Further, pattern classification between patients and controls revealed that combining different measures improved the classification accuracy (81.9%), indicating that fusion of different structural measures serves as a better neuroimaging marker for the objective diagnosis of schizophrenia.
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The human striatum is essential for both low- and high-level functions and has been implicated in the pathophysiology of various prevalent disorders, including Parkinson's disease (PD) and schizophrenia (SCZ). It is known to consist of structurally and functionally divergent subdivisions. However, previous parcellations are based on a single neuroimaging modality, leaving the extent of the multi-modal organization of the striatum unknown. Here, we investigated the organization of the striatum across three modalities-resting-state functional connectivity, probabilistic diffusion tractography, and structural covariance-to provide a holistic convergent view of its structure and function. We found convergent clusters in the dorsal, dorsolateral, rostral, ventral, and caudal striatum. Functional characterization revealed the anterior striatum to be mainly associated with cognitive and emotional functions, while the caudal striatum was related to action execution. Interestingly, significant structural atrophy in the rostral and ventral striatum was common to both PD and SCZ, but atrophy in the dorsolateral striatum was specifically attributable to PD. Our study revealed a cross-modal convergent organization of the striatum, representing a fundamental topographical model that can be useful for investigating structural and functional variability in aging and in clinical conditions.
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A systematic characterization of the similarities and differences among different methods for detecting structural brain abnormalities in schizophrenia, such as voxel-based morphometry (VBM), tensor-based morphometry (TBM), and projection-based thickness (PBT), is important for understanding the brain pathology in schizophrenia and for developing effective biomarkers for a diagnosis of schizophrenia. However, such studies are still lacking. Here, we performed VBM, TBM, and PBT analyses on T1-weighted brain MR images acquired from 116 patients with schizophrenia and 116 healthy controls. We found that, although all methods detected wide-spread structural changes, different methods captured different information - only 10.35% of the grey matter changes in cortex were detected by all three methods, and VBM only detected 11.36% of the white matter changes detected by TBM. Further, pattern classification between patients and controls revealed that combining different measures improved the classification accuracy (81.9%), indicating that fusion of different structural measures serves as a better neuroimaging marker for the objective diagnosis of schizophrenia.