scholarly journals Study of Extra-visual Resting-state Networks in Pituitary Adenoma Patients With Vision Restoration

2020 ◽  
Author(s):  
Fuyu Wang ◽  
Peng Wang ◽  
Ze Li ◽  
Tao Zhou ◽  
Xianghui Meng ◽  
...  
Keyword(s):  
Pituitary Adenoma ◽  
Resting State ◽  
Cingulate Cortex ◽  
Brodmann Area ◽  
Middle Temporal Gyrus ◽  
Resting State Networks ◽  
Middle Temporal ◽  
Posterior Cingulate ◽  
Vision Restoration ◽  
Left Insula

Abstract Background: Pituitary adenoma(PA) may compress the optic apparatus and cause impaired vision. Some patients can get improved vision rapidly after surgery. During the early time after surgery, however, the change of neurofunction in extra-visual cortex and higher cognitive cortex is still yet to be explored so far. Objective: Our study is focused on the changes in the extra-visual resting-state networks in PA patients after vision restoration. Methods:We recruited 14 PA patients with visual improvement after surgery. The functional connectivity (FC) of 6 seeds (auditory cortex (A1), Broca's area, posterior cingulate cortex (PCC)for default mode network (DMN), right caudal anterior cingulate cortex for salience network(SN) and left dorsolateral prefrontal cortex for excecutive control network (ECN)) were evaluated. A paired t-test was conducted to identify the differences between two groups. Results: Compared with the preoperation counterparts, the PA patients with improved vision exhibited decreased FC with right A1 was identified in left insula lobule, right middle temporal gyrus and left postcentral gyrus, and increased FC in the right paracentral lobule; decreased FC with broca in left middle temporal gyrus, and increased FC in left Insula lobule and right thalamus; decreased FC with DMN in right declive, and right precuneus, and increased FC in right brodmann area 17, left cuneus and right posterior cingulate; decreased FC with ECN in right posterior cingulate, right angular and right precuneus; decreased FC with SN in right middle temporal gyrus, right hippocampus, and right precuneus, and increased FC in right fusiform gyrus, left lingual gyrus and right brodmann area 19.Conclusions: The vision restoration may cause the response of cross-modal plasticity and the multisensory system related to A1 and broca. The DMN and SN may involve in top-down control on the subareas within vision cortex. The precuneus may involve in DMN, ECN and SN simultaneously.

Altered brain connectivity in sagittal craniosynostosis

2014 ◽  
Vol 13 (6) ◽  
pp. 690-698 ◽  
Author(s):  
Joel S. Beckett ◽  
Eric D. Brooks ◽  
Cheryl Lacadie ◽  
Brent Vander Wyk ◽  
Roger J. Jou ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Functional Connectivity ◽  
Resting State ◽  
Cingulate Cortex ◽  
Brodmann Area ◽  
Angular Gyrus ◽  
Significant Group ◽  
Whole Brain ◽  
Posterior Cingulate ◽  
Left And Right

Object Sagittal nonsyndromic craniosynostosis (sNSC) is the most common form of NSC. The condition is associated with a high prevalence (> 50%) of deficits in executive function. The authors employed diffusion tensor imaging (DTI) and functional MRI to evaluate whether hypothesized structural and functional connectivity differences underlie the observed neurocognitive morbidity of sNSC. Methods Using a 3-T Siemens Trio MRI system, the authors collected DTI and resting-state functional connectivity MRI data in 8 adolescent patients (mean age 12.3 years) with sNSC that had been previously corrected via total vault cranioplasty and 8 control children (mean age 12.3 years) without craniosynostosis. Data were analyzed using the FMRIB Software Library and BioImageSuite. Results Analyses of the DTI data revealed white matter alterations approaching statistical significance in all supratentorial lobes. Statistically significant group differences (sNSC < control group) in mean diffusivity were localized to the right supramarginal gyrus. Analysis of the resting-state seed in relation to whole-brain data revealed significant increases in negative connectivity (anticorrelations) of Brodmann area 8 to the prefrontal cortex (Montreal Neurological Institute [MNI] center of mass coordinates [x, y, z]: −6, 53, 6) and anterior cingulate cortex (MNI coordinates 6, 43, 14) in the sNSC group relative to controls. Furthermore, in the sNSC patients versus controls, the Brodmann area 7, 39, and 40 seed had decreased connectivity to left angular gyrus (MNI coordinates −31, −61, 34), posterior cingulate cortex (MNI coordinates 13, −52, 18), precuneus (MNI coordinates 10, −55, 54), left and right parahippocampus (MNI coordinates −13, −52, 2 and MNI coordinates 11, −50, 2, respectively), lingual (MNI coordinates −11, −86, −10), and fusiform gyri (MNI coordinates −30, −79, −18). Intrinsic connectivity analysis also revealed altered connectivity between central nodes in the default mode network in sNSC relative to controls; the left and right posterior cingulate cortices (MNI coordinates −5, −35, 34 and MNI coordinates 6, −42, 39, respectively) were negatively correlated to right hemisphere precuneus (MNI coordinates 6, −71, 46), while the left ventromedial prefrontal cortex (MNI coordinates 6, 34, −8) was negatively correlated to right middle frontal gyrus (MNI coordinates 40, 4, 33). All group comparisons (sNSC vs controls) were conducted at a whole brain–corrected threshold of p < 0.05. Conclusions This study demonstrates altered neocortical structural and functional connectivity in sNSC that may, in part or substantially, underlie the neuropsychological deficits commonly reported in this population. Future studies combining analysis of multimodal MRI and clinical characterization data in larger samples of participants are warranted.

Posterior Cingulate Cortex Hypometabolism in Non-Amnestic Variants of Alzheimer’s Disease

2020 ◽  
Vol 77 (4) ◽  
pp. 1569-1577
Author(s):  
David Bergeron ◽  
Jean-Mathieu Beauregard ◽  
Jean-Guimond ◽  
Jean-Paul Soucy ◽  
Louis Verret ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Cingulate Cortex ◽  
Diagnostic Value ◽  
Posterior Cingulate Cortex ◽  
Middle Temporal Gyrus ◽  
Z Score ◽  
Middle Temporal ◽  
Young Onset ◽  
Posterior Cingulate ◽  
Clinical Variants

Background: Hypometabolism of the posterior cingulate cortex (PCC) is an important diagnostic feature of late-onset, amnestic Alzheimer’s disease (AD) measured with 18F-fluorodeoxyglucose positron emission tomography (FDG-PET). However, it is unclear whether PCC hypometabolism has diagnostic value in young-onset, non-amnestic variants of AD, which exhibit less pathology in the hippocampus and default mode network. Objective: Evaluate the prevalence and diagnostic value of PCC hypometabolism in non-amnestic variants of AD. Methods: We retrospectively identified 60 patients with young-onset, atypical dementia who have undergone a detailed clinical evaluation, FDG-PET, and an amyloid biomarker (amyloid-PET or cerebrospinal fluid analysis). We quantitatively analyzed regional hypometabolism in 70 regions of interest (ROI) using the MIMneuro® software. Results: Based on a cut-off of z-score < –1.5 for significant PCC hypometabolism, the prevalence of PCC hypometabolism in non-amnestic variants of AD was 65% compared to 28% in clinical variants of frontotemporal dementia (FTD). The ROI with the maximal hypometabolism was the dominant middle temporal gyrus in the language variant of AD (mean z score –2.28), middle occipital gyrus in PCA (–3.24), middle temporal gyrus in frontal AD (–2.70), and angular gyrus in corticobasal syndrome due to AD (–2.31). The PCC was not among the 10 most discriminant regions between non-amnestic variants of AD versus clinical variants of FTD. Conclusion: We conclude that PCC hypometabolism is not a discriminant feature to distinguish non-amnestic variants of AD from clinical variants of FTD—and should be interpreted with caution in patients with young-onset, non-amnestic dementia.

Anatomical Segregation of Representations of Personally Familiar and Famous People in the Temporal and Parietal Cortices

2009 ◽  
Vol 21 (10) ◽  
pp. 1855-1868 ◽  
Author(s):  
Motoaki Sugiura ◽  
Yuko Sassa ◽  
Jobu Watanabe ◽  
Yuko Akitsuki ◽  
Yasuhiro Maeda ◽  
...  
Keyword(s):  
Anterior Part ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Middle Part ◽  
Middle Temporal Gyrus ◽  
Cognitive Responses ◽  
Middle Temporal ◽  
Famous People ◽  
Posterior Cingulate ◽  
Parietal Cortices

Person recognition has been assumed to entail many types of person-specific cognitive responses, including retrieval of knowledge, episodic recollection, and emotional responses. To demonstrate the cortical correlates of this modular structure of multimodal person representation, we investigated neural responses preferential to personally familiar people and responses dependent on familiarity with famous people in the temporal and parietal cortices. During functional magnetic resonance imaging (fMRI) measurements, normal subjects recognized personally familiar names (personal) or famous names with high or low degrees of familiarity (high or low, respectively). Effects of familiarity with famous people (i.e., high–low) were identified in the bilateral angular gyri, the left supramarginal gyrus, the middle part of the bilateral posterior cingulate cortices, and the left precuneus. Activation preferentially relevant to personally familiar people (i.e., personal–high) was identified in the bilateral temporo-parietal junctions, the right anterolateral temporal cortices, posterior middle temporal gyrus, posterior cingulate cortex (with a peak in the posterodorsal part), and the left precuneus; these activation foci exhibited varying degrees of activation for high and low names. An equivalent extent of activation was observed for all familiar names in the bilateral temporal poles, the left orbito-insular junction, the middle temporal gyrus, and the anterior part of the posterior cingulate cortex. The results demonstrated that distinct cortical areas supported different types of cognitive responses, induced to different degrees during recognition of famous and personally familiar people, providing neuroscientific evidence for the modularity of multimodal person representation.

scholarly journals Neural basis underlying the trait of attachment anxiety and avoidance revealed by the amplitude of low-frequency fluctuations and resting-state functional connectivity

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Min Deng ◽  
Xing Zhang ◽  
Xiaoyan Bi ◽  
Chunhai Gao
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Low Frequency ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Attachment Anxiety ◽  
Frequency Fluctuation ◽  
Resting State Functional Connectivity ◽  
Attachment Avoidance ◽  
Posterior Cingulate

Abstract Background Attachment theory demonstrates that early attachment experience shapes internal working models with mental representations of self and close relationships, which affects personality traits and interpersonal relationships in adulthood. Although research has focused on brain structural and functional underpinnings to disentangle attachment styles in healthy individuals, little is known about the spontaneous brain activity associated with self-reported attachment anxiety and avoidance during the resting state. Methods One hundred and nineteen individuals participated in the study, completing the Experience in Close Relationship scale immediately after an 8-min fMRI scanning. We used the resting-state functional magnetic resonance imaging (rs-fMRI) signal of the amplitude of low-frequency fluctuation and resting-state functional connectivity to identify attachment-related regions and networks. Results Consequently, attachment anxiety is closely associated with the amplitude of low-frequency fluctuations in the right posterior cingulate cortex, over-estimating emotional intensity and exaggerating outcomes. Moreover, the functional connectivity between the posterior cingulate cortex and fusiform gyrus increases detection ability for potential threat or separation information, facilitating behavior motivation. The attachment avoidance is positively correlated with the amplitude of low-frequency fluctuation in the bilateral lingual gyrus and right postcentral and negatively correlated with the bilateral orbital frontal cortex and inferior temporal gyrus. Functional connection with attachment avoidance contains critical nodes in the medial temporal lobe memory system, frontal-parietal network, social cognition, and default mode network necessary to deactivate the attachment system and inhibit attachment-related behavior. Conclusion and implications These findings clarify the amplitude of low-frequency fluctuation and resting-state functional connectivity neural signature of attachment style, associated with attachment strategies in attachment anxiety and attachment avoidance individuals. These findings may improve our understanding of the pathophysiology of the attachment-related disorder.

scholarly journals Decreased resting-state alpha-band activation and functional connectivity after sleep deprivation

2020 ◽  
Author(s):  
Jintao Wu ◽  
Qianxiang Zhou ◽  
Jiaxuan Li ◽  
Yang Chen ◽  
Shuyu Shao ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Power Spectrum ◽  
Sleep Deprivation ◽  
Resting State ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Alpha Band ◽  
Posterior Cingulate ◽  
Recovery Sleep ◽  
Normal Sleep

Abstract BackgroundCognitive abilities are impaired by sleep deprivation and can be recovered when sufficient sleep is obtained. Changes in alpha-band oscillations are considered to be highly related to sleep deprivation. The effect of sleep deprivation on brain activation and functional connectivity in the resting-state alpha band remains unclear. The purpose of this study was to investigate how sleep deprivation and recovery sleep could change resting-state alpha-band neural oscillations.MethodsIn this study, thirty young, healthy participants obtained approximately 8 h of normal sleep, followed by 36 h of sleep deprivation. On the following recovery night, subjects underwent recovery sleep. Resting-state EEG after normal sleep, sleep deprivation and recovery sleep was recorded. Power spectrum, source localization and functional connectivity analyses were used to investigate the changes in resting-state alpha-band activity after normal sleep, sleep deprivation and recovery sleep.ResultsThe results showed that the global alpha power spectrum decreased and source activation was notably reduced in the precuneus, posterior cingulate cortex, cingulate gyrus, and paracentral lobule after sleep deprivation. Functional connectivity analysis after sleep deprivation showed a weakened functional connectivity pattern in a widespread network with the precuneus and posterior cingulate cortex as the key nodes. Furthermore, the changes caused by sleep deprivation were reversed to a certain extent but not significantly after one night of sleep recovery, which may be due to inadequate time for recovery sleep.ConclusionsIn conclusion, large-scale resting-state alpha-band activation and functional connectivity were weakened after sleep deprivation, and the inhibition of default mode network function with the precuneus and posterior cingulate cortex as the pivotal nodes may be an important cause of cognitive impairment. These findings provide new insight into the physiological response of sleep deprivation and determine how sleep deprivation disrupts brain alpha-band oscillations.

scholarly journals Disrupted Topological Organization of Functional Networks in Asymptomatic Carotid Plaque Without Significant Carotid Stenosis: A Resting-State fMRI Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Jia Tuo ◽  
Wei He ◽  
Shuai Yang ◽  
Lihui Liu ◽  
Xiaojuan Liu ◽  
...  
Keyword(s):  
Resting State ◽  
Carotid Plaque ◽  
Functional Network ◽  
Middle Temporal Gyrus ◽  
Functional Networks ◽  
Middle Temporal ◽  
Brain Functional Network ◽  
Asymptomatic Patients ◽  
The Brain ◽  
Left Middle

Purpose: Previous studies have found that there are significant changes in functional network properties for patients with moderate to severe carotid artery stenosis. Our study aimed to explore the topology properties of brain functional network in asymptomatic patients with carotid plaque without significant stenosis.Methods: A total of 61 asymptomatic patients with carotid plaque (mean age 61.79 ± 7.35 years) and 25 healthy control subjects (HC; 58.12 ± 6.79 years) were recruited. General data collection, carotid ultrasound examination and resting state functional magnetic resonance imaging were performed on all subjects. Graph-theory was applied to examine the differences in the brain functional network topological properties between two groups.Results: In the plaque group, Eloc(P = 0.03), γ (P = 0.01), and σ (P = 0.01) were significantly higher than in the HC group. The degree centrality of left middle frontal gyrus and the nodal efficiency of left middle frontal gyrus and right inferior parietal angular gyrus were significantly higher in the plaque group than in HC. The degree centrality and betweenness centrality of right middle temporal gyrus, as well as the nodal efficiency of right middle temporal gyrus, were significantly lower in the plaque group than in HC.Conclusions: The brain functional networks of patients with carotid plaques differ from those of healthy controls. Asymptomatic patients with carotid plaques exhibit increased local and global connectivity, which may reflect subtle reorganizations in response to early brain damage.

Altered Brain Regional Homogeneity in First-Degree Relatives of Type 2 Diabetics: A functional MRI Study

2019 ◽  
Vol 128 (11) ◽  
pp. 737-744
Author(s):  
Yiyong Liu ◽  
Lin Shi ◽  
Xiubao Song ◽  
Changzheng Shi ◽  
Wutao Lou ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Anterior Cingulate Cortex ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Regional Homogeneity ◽  
Anterior Cingulate ◽  
Posterior Cingulate ◽  
First Degree Relatives ◽  
Left Insula

Abstract Objective This study aimed to investigate regional homogeneity in the first-degree relatives of type 2 diabetes patients. Methods Seventy-eight subjects, including 26 type 2 diabetes patients, 26 first-degree relatives, and 26 healthy controls, were assessed. All participants underwent resting-state functional magnetic resonance imaging scanning. The estimated regional homogeneity value was used to evaluate differences in brain activities. Results In first-degree relatives, we observed significantly decreased regional homogeneity in the left anterior cingulate cortex, left insula, and bilateral temporal lobes, and increased regional homogeneity in the left superior frontal gyrus, right anterior cingulate cortex, and bilateral posterior cingulate cortex compared to healthy controls. In type 2 diabetes patients, we detected altered regional homogeneity in the left anterior cingulate cortex, left insula, bilateral posterior cingulate cortex, and several other brain regions compared to healthy controls. Both first-degree relatives and type 2 diabetes patients showed decreased regional homogeneity in the left superior temporal gyrus, right middle temporal gyrus, left anterior cingulate cortex, left insula, and increased regional homogeneity in the left superior frontal gyrus and bilateral posterior cingulate cortex. Conclusion These findings suggest that altered regional homogeneity in the left anterior cingulate cortex, left insula, left superior frontal gyrus, bilateral posterior cingulate cortex, and bilateral temporal lobes might be a neuroimaging biomarker of type 2 diabetes -related brain dysfunction.

Cortical and subcortical changes in resting-state functional connectivity before and during an episode of postoperative delirium

2019 ◽  
Vol 53 (8) ◽  
pp. 794-806 ◽  
Author(s):  
Jooyoung Oh ◽  
Jung Eun Shin ◽  
Kyu Hyun Yang ◽  
Sunghyon Kyeong ◽  
Woo Suk Lee ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Medial Prefrontal Cortex ◽  
Default Mode Network ◽  
Resting State ◽  
Postoperative Delirium ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Default Mode ◽  
Posterior Cingulate ◽  
Subcortical Regions

Objective: Delirium is an acute brain failure related to uncertain problems in neural connectivity, including aberrant functional interactions between remote cortical regions. This study aimed to elucidate the underlying neural mechanisms of delirium by clarifying the changes in resting-state functional connectivity induced by postoperative delirium using imaging data scanned before and after surgery. Method: Fifty-eight patients with a femoral neck fracture were preoperatively scanned using resting-state functional magnetic resonance imaging. Twenty-five patients developed postoperative delirium, and 14 of those had follow-up scans during delirium. Eighteen patients without delirium completed follow-up scans 5 or 6 days after surgery. We assessed group differences in voxel-based connectivity, in which the seeds were the posterior cingulate cortex, medial prefrontal cortex and 11 subcortical regions. Connections between the subcortical regions were also examined. Results: The results showed four major findings during delirium. Both the posterior cingulate cortex and medial prefrontal cortex were strongly connected to the dorsolateral prefrontal cortex. The posterior cingulate cortex had hyperconnectivity with the inferior parietal lobule, whereas the medial prefrontal cortex had hyperconnectivity with the frontopolar cortex and hypoconnectivity with the superior frontal gyrus. Connectivity of the striatum with the anterior cingulate cortex and insula was increased. Disconnections were found between the lower subcortical regions including the neurotransmitter origins and the striatum/thalamus in the upper level. Conclusions: Our findings suggest that cortical dysfunction during delirium is characterized by a diminution of the anticorrelation between the default mode network and task-positive regions, excessive internal connections in the posterior default mode network and a complex imbalance of internal connectivity in the anterior default mode network. These dysfunctions can be attributed to the loss of reciprocity between the default mode network and central executive network associated with defective function in the salience network, which might be closely linked to aberrant subcortical neurotransmission-related connectivity and striato-cortical connectivity.

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