Bilateral Middle Cingulate Gyrus Research Articles

Relationship between SLC6A2 gene polymorphisms and brain volume in Han Chinese adults who lost their sole child

BackgroundNorepinephrine transporter (NET) is encoded by the SLC6A2 gene and is a potential target for studying the pathogenesis of PTSD. To the best of our knowledge, no prior investigations have examined SLC6A2 polymorphism-related neuroimaging abnormalities in PTSD patients.MethodsIn 218 Han Chinese adults who had lost their sole child, we investigated the association between the T-182 C SLC6A2 genotype and gray matter volume (GMV). Participants included 57 PTSD sufferers and 161 non-PTSD sufferers, and each group was further separated into three subgroups based on each participant’s SLC6A2 genotype (TT, CT, and CC). All participants received magnetic resonance imaging (MRI) and clinical evaluation. To assess the effects of PTSD diagnosis, genotype, and genotype × diagnosis interaction on GMV, 2 × 3 full factorial designs were used. Pearson’s correlations were used to examine the association between GMV and CAPS, HAMD, and HAMA.ResultsThe SLC6A2 genotype showed significant main effects on GMV of the left superior parietal gyrus (SPG) and the bilateral middle cingulate gyrus (MCG). Additionally, impacts of the SLC6A2 genotype-diagnosis interaction were discovered in the left superior frontal gyrus (SFG). The CAPS, HAMA, and HAMD scores, as well as the genotype main effect and diagnostic SLC6A2 interaction, did not significantly correlate with each other.ConclusionThese findings indicate a modulatory effect that the SLC6A2 polymorphism exerts on the SPG and MCG, irrespective of PTSD diagnosis. We found evidence to suggest that the SLC6A2 genotype-diagnosis interaction on SFG may potentially contribute to PTSD pathogenesis in adults who lost their sole child.

TMS disruption ofthe lateral prefrontal cortex increases neural activity inthe default mode network when naming facial expressions.

Recognizing facial expressions is dependent on multiple brain networks specialized for different cognitive functions. In the current study, participants (N = 20) were scanned using functional magnetic resonance imaging (fMRI), while they performed a covert facial expression naming task. Immediately prior to scanning thetaburst transcranial magnetic stimulation (TMS) was delivered over the right lateral prefrontal cortex (PFC), or the vertex control site. A group whole-brain analysis revealed that TMS induced opposite effects in the neural responses across different brain networks. Stimulation of the right PFC (compared to stimulation of the vertex) decreased neural activity in the left lateral PFC but increased neural activity in three nodes of the default mode network (DMN): the right superior frontal gyrus, right angular gyrus and the bilateral middle cingulate gyrus. A region of interest analysis showed that TMS delivered over the right PFC reduced neural activity across all functionally localised face areas (including in the PFC) compared to TMS delivered over the vertex. These results suggest that visually recognizing facial expressions is dependent on the dynamic interaction of the face-processing network and the DMN. Our study also demonstrates the utility of combined TMS/fMRI studies for revealing the dynamic interactions between different functional brain networks.

Altered Functional Connectivity of the Nucleus Accumbens Network Between Deficit and Non-deficit Schizophrenia.

Deficit schizophrenia (DS), which is marked by stable negative symptoms, is regarded as a homogeneous subgroup of schizophrenia. While DS patients have structurally altered nucleus accumbens (NAcc) compared to non-deficit schizophrenia (NDS) patients and healthy individuals, the investigation of NAcc functional connectivity (FC) with negative symptoms and neurocognition could provide insights into the pathophysiology of schizophrenia. 58 DS, 93 NDS, and 113 healthy controls (HCs) underwent resting-state functional magnetic resonance (rsfMRI). The right and left NAcc were respectively used as seed points to construct the functional NAcc network in whole-brain FC analysis. ANCOVA compared the differences in NAcc network FC and partial correlation analysis explored the relationships between altered FC of NAcc, negative symptoms and neurocognition. Compared to HCs, both DS and NDS patients showed decreased FC between the left NAcc (LNAcc) and bilateral middle cingulate gyrus, and between the right NAcc (RNAcc) and right middle frontal gyrus (RMFG), as well as increased FC between bilateral NAcc and bilateral lingual gyrus. Moreover, the FC between the LNAcc and bilateral calcarine gyrus (CAL) was lower in the DS group compared to NDS patients. Correlation analysis indicated that FC value of LNAcc-CAL was negatively correlated to negative symptoms. Furthermore, aberrant FC values within the NAcc network were correlated with severity of clinical symptoms and neurocognitive impairments in DS and NDS patients. This study demonstrated abnormal patterns of FC in the NAcc network between DS and NDS. The presence of altered LNAcc-CAL FC might be involved in the pathogenesis of negative symptoms in schizophrenia.

Abnormal regional homogeneity and its relationship with symptom severity in cervical dystonia: a rest state fMRI study

BackgroundAlthough several brain networks play important roles in cervical dystonia (CD) patients, regional homogeneity (ReHo) changes in CD patients have not been clarified. We investigated to explore ReHo in CD patients at rest and analyzed its correlations with symptom severity as measured by Tsui scale.MethodsA total of 19 CD patients and 21 gender-, age-, and education-matched healthy controls underwent fMRI scans at rest state. Data were analyzed by ReHo method.ResultsPatients showed increased ReHo in the right cerebellum crus I and decreased ReHo in the right superior medial prefrontal cortex (MPFC). Moreover, the right precentral gyrus, right insula, and bilateral middle cingulate gyrus also showed increased ReHo values. A significantly positive correlation was observed between ReHo value in the right cerebellum crus I and symptom severity (p < 0.05).ConclusionsOur investigation suggested abnormal ReHo existed in brain regions of the “pain matrix” and salience network (the right insula and bilateral middle cingulate gyrus), the motor network (the right precentral gyrus), the cerebellum and MPFC and further highlighted the significance of these networks in the pathology of CD.

Abnormal Brain Functional Connectivity Strength in the Overactive Bladder Syndrome: A Resting-State fMRI Study

ObjectiveTo investigate the whole-brain functional connectivity strength (FCS) of patients with the overactive bladder syndrome (OAB). MethodsThis study investigates the changes of intrinsic whole brain functional connectivity pattern in OAB using FCS. We acquired resting-state fMRI data from 26 OAB patients and 28 healthy controls. FCS was used to compute the long-range and short-range FCS values for each voxel in the brain of each subject. The long or short-range FCS maps were compared between OAB patients and healthy controls. Pearson's correlation coefficients was also performed between abnormal FCS regions and clinical/psychometric scores in patients. ResultsCompared with healthy control subjects, the OAB patients exhibited significantly decreased short-range FCS in the right medial superior frontal gyrus and bilateral anterior cingulate gyrus, and increased short-range FCS in the middle frontal gyrus, the precentral gyrus, and bilateral caudate nucleus. In addition, significantly decreased long-range FCS was found in bilateral middle cingulate gyrus and posterior cingulate gyrus. Furthermore, the abnormal FCS values in the right caudate nucleus showed significantly negative correlation with Self-Rating Depression Scale of OAB patients. ConclusionPatients with OAB have abnormal short-range and long-range FCS in brain regions associated with brain-bladder network. Our study provides new insights into the underlying brain network topology of OAB.

Association between NRGN gene polymorphism and resting-state hippocampal functional connectivity in schizophrenia

BackgroundBased on genome-wide association studies, a single-nucleotide polymorphism in the NRGN gene (rs12807809) is considered associated with schizophrenia (SZ). Moreover, hippocampal dysfunction is associated with rs12807809. In addition, converging evidence suggests that hippocampal dysfunction is involved in SZ pathophysiology. However, the association among rs12807809, hippocampal dysfunction and SZ pathophysiology is unknown. Therefore, this study investigated the association between rs12807809 and hippocampal functional connectivity at rest in SZ.MethodsIn total, 158 participants were studied, including a C-carrier group carrying the non-risk C allele (29 SZ patients and 46 healthy controls) and a TT homozygous group carrying the risk T allele (30 SZ patients and 53 healthy controls). All participants were scanned using resting-state functional magnetic resonance imaging. Hippocampal functional connectivity was computed and compared among the 4 groups.ResultsSignificant main effects of diagnosis were observed in the functional connectivity between the hippocampus and bilateral fusiform gyrus, bilateral lingual gyrus, left inferior temporal gyrus, left caudate nucleus, bilateral thalamus and bilateral anterior cingulate gyri. In contrast, no significant main effect of genotype was found. In addition, a significant genotype by diagnosis interaction in the functional connectivity between the hippocampus and left anterior cingulate gyrus, as well as bilateral middle cingulate gyri, was observed, with TT homozygotes with SZ showing less functional connectivity than C-carriers with SZ and healthy control TT homozygotes.ConclusionsThese findings are the first to suggest an association between rs12807809 and abnormal Papez circuit function in patients with SZ. This study also implicates NRGN variation and abnormal Papez circuit function in SZ pathophysiology.

The relationship between simple numerical function and gray matter volume in normal brain aging

Objective: To explore the relationship between simple numerical function and gray matter volume (GMV) in normal brain aging using the voxel-based morphometry(VBM) approach. Methods: A total of 123 individuals from 18 to 70 years old (63 males,60 females,the average age was (43±14) years, were recruited from right-handed healthy Han Chinese volunteers at the Department of MRI at the First Affiliated Hospital of Zhengzhou University between October 2016 and June 2017. All subjects underwent magnetic resonance sagital three-dimensional imaging scanning, and statistical parameter graph (SPM) 8 software was used for voxel-based morphological analysis to compare the differences in gray matter volume between different age groups.Gray matter volume difference brain regions between different age groups were extracted as regions of interest, and correlation analysis was carried out on the score of simple numerical calculation to find the responsible atrophy brain regions related to the decline of simple digital computing ability. Results: The brain regions with different gray matter volume in different age groups mainly included bilateral frontal gyrus, bilateral anterior cingulate gyrus, bilateral middle cingulate gyrus, bilateral olfactory cortex, bilateral caudate nucleus and bilateral insula. Among them the GMV of bilateral superior frontal gyrus and anterior cingulate gyrus showed the strongest correlation with the simple numerical function. Before removing the effect of age, the correlation between the GMV of the bilateral superior frontal gyrus and medial cingulate gyrus and the corrected count of correct was significant (r=0.403,P=0.000), the correlation between GMV and the percent of correct was also significant (r=0.229,P=0.037).After removing age as a covariate, bilateral superior frontal gyrus and central cingulate gyrus were still positively correlated with the correct number after correction of simple numerical calculation function (r=0.225,P=0.014) and the correct percentage (r=0.245, P=0.007). Conclusion: There is extensive gray matter volume atrophy during the normal brain aging process. The decrease of simple numerical function in normal brain aging may be related to the decrease of frontal and anterior cingulate gray matter volume.

BIOMECHANICAL CHARACTERIZATION OF BRAIN ATROPHY IN COGNITIVELY NORMAL AND MCI GROUPS

The pathophysiologic processes leading to Alzheimer's disease (AD) begin well before the onset of clinically detectable symptoms. Imaging methods for early detection are paramount to facilitate interventions that may decrease progression and morbidity associated with this devastating disease. The purpose of this study was to explore new longitudinal imaging biomarkers of mild cognitive impairment (MCI) using a novel technique to quantify voxel-wise directional deformation of brain structure. “ADNI1 Standardized 3T List” was used to characterize brain atrophy patterns between the baseline and 1 year in MCI (n=56) compared to cognitively normal (CN) (n=39). Within-subject registration was performed across the data acquisition time points using Advanced Normalization Tools’ (ANTs) SyN nonlinear registration algorithm. Using longitudinal changes in deformation field between paired images, the voxel-wise volume change ratio (Jacobian Determinant, JD) and associated directional stretches/shrinks were estimated using an in-house morphometry analysis algorithm based on finite strain theory in X (anterior-posterior), Y (medial-lateral), and Z (superior-inferior) directions. We focused on gray matter (GM) region to avoid confounding effects of white matter (WM) and cerebrospinal fluid during image registration. Within-group analysis results (Fig.1) demonstrate statistically significant gray matter volumetric decreases in both CN (top) and MCI (bottom) groups. Atrophy in the NL group was observed primarily at the interfaces of GM and WM, whereas the pattern of atrophy in the MCI group was more diffuse. Regional evaluation demonstrated statistically significant between group differences in rates of atrophy in bilateral hippocampal, caudate, putamen, thalamus and amygdala, where hippocampal and amygdala atrophy was characterized primarily by X-directional shrinkage (Fig. 2). Directional strains provided additional information that was not detectable with conventional volumetric analysis based on JD, with significant difference in X-directional contraction in insular cortex and right inferior temporal gyrus and Z-directional difference in bilateral middle cingulate gyri.

Therapy for Adult Social Anxiety Disorder: A Meta-Analysis of Functional Neuroimaging Studies.

We conducted a meta-analysis of the literature reporting neuroimaging in patients undergoing psychotherapy and pharmacotherapy for social anxiety disorder (SAD). Using PubMed, MEDLINE, and Embase, we searched for English-language studies published between January 2000 and February 2015 with terms related to SAD, therapy, and neuroimaging. Twelve studies were included with a total of 295 subjects with SAD before and after therapy from January 2000 to February 2015. We extracted peak coordinates of clusters of significant group differences and performed a meta-analysis using effect-size signed differential mapping to analyze the peak coordinates of clusters and thresholds. Therapy significantly reduced activity in the left inferior parietal gyrus (Z = 1.441; P < .001), right postcentral gyrus (Z = 1.711; P < .001), and right precuneus (Z = 1.352; P < .01) and increased activity in the left inferior frontal gyrus/insula (Z = 1.939; P < .001) and bilateral middle cingulate gyrus (Z = 1.836; P < .001). Psychotherapy significantly increased activity in the bilateral precuneus (Z = 2.259; P < .001) and left inferior parietal gyrus (Z = 1.786; P < .001) and decreased activity in the left anterior cingulate gyrus (Z = 1.707; P < .001), left middle frontal gyrus (Z = 1.584; P < .001), and right cerebellum (Z = 1.424; P < .01). Pharmacotherapy increased activity in the right postcentral gyrus (Z = 1.215; P < .01), left middle occipital gyrus (Z = 1.269; P < .01), and right medial orbital frontal gyrus (Z = 1.250; P < .01) and reduced activity in the bilateral insula (Z = 2.172; P < .001; Z = 1.608; P < .01) and left medial cingula (Z = 1.479; P < .01). The improvement in social anxiety symptoms was positively associated with hyperactivity of the bilateral precuneus, left inferior partial gyrus, right medial cingulate, and right postcentral gyrus but negatively associated with hypoactivity of the bilateral insula and right medial cingulate (P < .01). We did not find any difference of amygdala among these 3 groups. Previous reports of brain imaging suggest that pharmacotherapy and psychotherapy impact different brain regions in adult patients with SAD.

The Explorative Analysis to Revise Fear Network Model for Panic Disorder: Functional Connectome Statistics.

Functional connectome analysis in panic disorder (PDO) is a relatively new field for research. We tried to investigate the functional connectome alterations in PDO to re-examine the precision and role of fear network model for the pathophysiology of PDO.We enrolled 53 PDO patients and 54 controls with imaging data in this study. After preprocessing, we calculated the connectivity matrix of functional connectivity in whole brain for each subject. Then network-based statistics (The University of Melbourne and Melbourne Health, Australia) of connectome was used to perform group comparisons between patients and controls. The correlation between network measures of significant subnetwork and illness duration or severity of PDO was also performed.Within the 6 network models, only 1 network survived after multiple corrections. We found decreased functional connectivity in the edges between the following nodes: the left parahippocampal gyrus, bilateral precentral gyri, bilateral middle cingulate gyri, bilateral supramarginal gyri, bilateral calcarine fissures, and right lingual gyrus. The central hubs were the left parahippocampal gyrus and left precentral gyrus. The importance of limbic areas and connection with sensory and motor regions might shed light on the revision of fear network model for the pathophysiology of PDO.

Disrupted Topological Organization in Whole-Brain Functional Networks of Heroin-Dependent Individuals: A Resting-State fMRI Study

Neuroimaging studies have shown that heroin addiction is related to abnormalities in widespread local regions and in the functional connectivity of the brain. However, little is known about whether heroin addiction changes the topological organization of whole-brain functional networks. Seventeen heroin-dependent individuals (HDIs) and 15 age-, gender-matched normal controls (NCs) were enrolled, and the resting-state functional magnetic resonance images (RS-fMRI) were acquired from these subjects. We constructed the brain functional networks of HDIs and NCs, and compared the between-group differences in network topological properties using graph theory method. We found that the HDIs showed decreases in the normalized clustering coefficient and in small-worldness compared to the NCs. Furthermore, the HDIs exhibited significantly decreased nodal centralities primarily in regions of cognitive control network, including the bilateral middle cingulate gyrus, left middle frontal gyrus, and right precuneus, but significantly increased nodal centralities primarily in the left hippocampus. The between-group differences in nodal centralities were not corrected by multiple comparisons suggesting these should be considered as an exploratory analysis. Moreover, nodal centralities in the left hippocampus were positively correlated with the duration of heroin addiction. Overall, our results indicated that disruptions occur in the whole-brain functional networks of HDIs, findings which may be helpful in further understanding the mechanisms underlying heroin addiction.

Brain Activity in Patients with Adductor Spasmodic Dysphonia

Objective: Spasmodic dysphonia (SD) is clinically characterized by irregular hyperadduction of vocal folds leading to a strained/strangled, hoarse, and effortful voice with break in pitch and phonation. The aim of the present study is to evaluate the cerebral activity in patients with adductor SD in response to phonation. Method: Six patients with adductor spasmodic dysphonia and 29 healthy subjects participated. Brain activity was evaluated using functional magnetic resonance imaging (fMRI). The experimental task consisted of alternate phonation conditions: vocalization (a prolonged vowel, |i:|) and no vocalization. The cues of both conditions were randomly presented to subjects. Results: Activation areas in SD, compared with controls, were in right inferior frontal gyrus, right supramarginal gyrus, right middle temporal gyrus, and right superior temporal gyrus. On the contrary, decreased brain activity in SD group was observed in bilateral primary sensory area, right inferior parietal cortex, bilateral precentral gyrus, bilateral rolandic operculum, bilateral SMA, left anterior cingulate cortex, bilateral middle cingulate gyrus, right temporal pole, right superior pole, bilateral cerebellum, left inferior frontal gyrus, right insula lobe, bilateral thalamus, and right basal ganglia. Conclusion: The present fMRI study demonstrated that brain activity during phonation in SD resembled those in other local dystonia diseases, especially in sensorimotor area, supplementary motor area, basal ganglia, thalamus, and cerebellum. Although sample size was quite limited, it is likely that spasmodic dysphonia is one aspect of local dystonia.

Diffusion tensor imaging of the brain in patients with Alzheimer’s disease and cerebrovascular lesions

Recent autopsy study showed a high incidence of cerebrovascular lesions in Alzheimer's disease (AD). To assess the impact of cerebrovascular pathology in AD, we used diffusion tensor imaging (DTI) to study AD patients with and without cerebrovascular lesions. Conventional and DTI scans were obtained from 10 patients with probable AD, 10 AD/V patients (probable AD with cerebrovascular lesions) and ten normal controls. Mean diffusivity (D) and fractional anisotropy (FA) values of some structures involved with AD pathology were measured. D value was higher in AD patients than in controls in hippocampus and the cingulate gyrus. In AD/V patients, increased D value was found in the same structures and also in the thalamus and basal ganglia compared to controls. There was a significant difference of D value between AD and AD/V patients. FA value reduced in the white matter of left inferior temporal gyrus and in the bilateral middle cingulate gyrus in patients with AD/V compared with controls. The MMSE (mini-mental state examination) score significantly correlated with FA value in the right hippocampus (r=0.639, P<0.019), in the right anterior cingulate gyrus (r=0.587, P<0.035) and in left parahippocampal gyrus (r=0.559, P<0.047). Cerebrovascular pathology had stronger impact on the D value than the AD pathology alone did. Elevated D value in thalamic and basal ganglia may contribute to cognitive decline in AD/V patients. Reduced FA values in AD/V patients may indicate that cerebrovascular pathology induced more severe white matter damage than the AD pathology alone did.