The functional connectivity between right middle temporal gyrus and right superior frontal gyrus impacted procrastination through neuroticism

Neuroscience ◽  
2021 ◽  
Author(s):  
Yaqi Zhang ◽  
Rong Zhang ◽  
Tingyong Feng
Keyword(s):  
Functional Connectivity ◽  
Middle Temporal Gyrus ◽  
Superior Frontal Gyrus ◽  
Middle Temporal

scholarly journals Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia

2020 ◽  
Author(s):  
Mohammad S.E Sendi ◽  
Godfrey D Pearlson ◽  
Daniel H Mathalon ◽  
Judith M Ford ◽  
Adrian Preda ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Visual Processing ◽  
Information Transfer ◽  
Pearson Correlation ◽  
Visual Learning ◽  
Network Connectivity ◽  
Resting State Fmri ◽  
Connectivity Pattern ◽  
Middle Temporal Gyrus ◽  
Middle Temporal

Although visual processing impairments have been explored in schizophrenia (SZ), their underlying neurobiology of the visual processing impairments has not been widely studied. Also, while some research has hinted at differences in information transfer and flow in SZ, there are few investigations of the dynamics of functional connectivity within visual networks. In this study, we analyzed resting-state fMRI data of the visual sensory network (VSN) in 160 healthy control (HC) subjects and 151 SZ subjects. We estimated 9 independent components within the VSN. Then, we calculated the dynamic functional network connectivity (dFNC) using the Pearson correlation. Next, using k-means clustering, we partitioned the dFNCs into five distinct states, and then we calculated the portion of time each subject spent in each state, that we termed the occupancy rate (OCR). Using OCR, we compared HC with SZ subjects and investigated the link between OCR and visual learning in SZ subjects. Besides, we compared the VSN functional connectivity of SZ and HC subjects in each state. We found that this network is indeed highly dynamic. Each state represents a unique connectivity pattern of fluctuations in VSN FNC, and all states showed significant disruption in SZ. Overall, HC showed stronger connectivity within the VSN in states. SZ subjects spent more time in a state in which the connectivity between the middle temporal gyrus and other regions of VNS is highly negative. Besides, OCR in a state with strong positive connectivity between middle temporal gyrus and other regions correlated significantly with visual learning scores in SZ.

scholarly journals Resting EEG Asymmetry Markers of Multiple Facets of the Behavioral Approach System: A LORETA Analysis

Symmetry ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1794
Author(s):  
Vilfredo De Pascalis ◽  
Giuliana Cirillo ◽  
Arianna Vecchio
Keyword(s):  
Frontal Lobes ◽  
Behavioral Approach ◽  
Middle Temporal Gyrus ◽  
Beta Activity ◽  
Behavioral Approach System ◽  
Superior Frontal Gyrus ◽  
Middle Temporal ◽  
Frontal Activity ◽  
Left And Right ◽  
Eeg Recordings

Previously published models of frontal activity linked high relative left frontal activity to the behavioral approach system (BAS) and impulsivity. Additionally, these models did not account for BAS facets encompassing the anticipation of reward, i.e., goal-driven persistence (BAS–GDP) and reward interest (BAS–RI), from those that deal with the actual hedonic experience of reward, i.e., reward reactivity (BAS–RR) and impulsivity (BAS–I). Using resting electroencephalographic (EEG) recordings, the source localization (LORETA) method allowed us to calculate the hemispheric asymmetry of the current density within the alpha band (7.5–13 Hz) in ten regions of interest. Compared to low BAS subtrait scorers, high BAS subtrait scorers (except for BAS–I) were correlated with greater relative left-sided activity in the superior frontal gyrus (BA10). Further, an isolated effective coherence (iCOH) analysis of the beta activity (21 Hz) disclosed that high impulsive scorers as compared to low impulsive ones had higher connectivity between the superior frontal gyrus and middle temporal gyrus, which was not compensated for by enhanced inhibitory alpha (11 Hz) connectivity between these regions. For the beta frequency, we also found in highly impulsive individuals that (i) both left and right middle temporal lobes directly influenced the activity of the left and right superior frontal lobes, and (ii) a clear decoupling between left and right superior frontal lobes. These findings could indicate reduced control by the supervisory system in more impulsive individuals.

scholarly journals Abnormal functional connectivity density in patients with dysthyroid optic neuropathy

2020 ◽  
Author(s):  
Yunhai Tu ◽  
Pingping Huang ◽  
Chuanwan Mao ◽  
Xiaozheng Liu ◽  
Jianlu Gao
Keyword(s):  
Visual Field ◽  
Functional Connectivity ◽  
Optic Neuropathy ◽  
Middle Temporal Gyrus ◽  
Functional Connectivity Density ◽  
Dysthyroid Optic Neuropathy ◽  
Middle Temporal ◽  
The Right ◽  
Left Middle Temporal Gyrus ◽  
Left Middle

[Objective] Functional connectivity density (FCD) mapping was used to investigate abnormalities and factors related to brain functional connectivity (F.C.) in cortical regions of patients with dysthyroid optic neuropathy (DON) and to analyze the pathogenesis of DON further. [Methods] Patients diagnosed with thyroid-associated ophthalmopathy (TAO) in the Eye Hospital were enrolled. All patients underwent comprehensive eye examinations and best-corrected visual acuity, visual field(V.F.) test. MRI data collection and analysis were completed in the 2nd Affiliated Hospital of Wenzhou Medical University. The patients were divided into two groups: the DON group, with an average visual field, mean deviation (M.D.) of both eyes < -5 dB, and the non-DON group (nDON group), with an average visual field M.D. of both eyes ≥ -2 dB. [Results] A total of 30 TAO patients (14 men, 16 women) with complete data who met the experimental requirements were enrolled. The average age was 48.79 (40~ 57) years. There were 16 patients in the DON group and 14 patients in the nDON group. No significant differences in age, gender, education level, and the maximum horizontal diameter of either medial rectus muscle were found between the two groups. The difference of brain FCD between the two groups showed significant abnormal connectivity in the right orbital gyri of the frontal lobe (Frontal_Inf_Orb_R) and the left precuneus in the DON group compared with the nDON group. As demonstrated by decreased FCD values in the right inferior frontal gyrus/orbital part, the relevant brain regions were the left middle temporal gyrus, left precuneus, left middle frontal gyrus, right postcentral gyrus, and brain gyri (excluding the supramarginal gyrus and angular gyrus) below the left parietal bone. The FCD associated with the left precuneus was increased, and the relevant brain areas were the left middle temporal gyrus, right cuneus, superior occipital gyrus, and right fusiform gyrus. A significant correlation was identified between the MD. of the binocular visual field and brain FCD. [Conclusion] The abnormal FCD in the cortex of DON patients suggests that a central nervous system mechanism may be related to the pathogenesis of the DON.

Time Course of Changes in Brain Activity and Functional Connectivity Associated With Long-Term Adaptation to a Rotational Transformation

2005 ◽  
Vol 93 (4) ◽  
pp. 2254-2262 ◽  
Author(s):  
Valeria Della-Maggiore ◽  
Anthony R. McIntosh
Keyword(s):  
Functional Connectivity ◽  
Sensorimotor Cortex ◽  
Time Course ◽  
Brain Activity ◽  
Visuomotor Adaptation ◽  
Middle Temporal Gyrus ◽  
Middle Temporal ◽  
Functional Connections ◽  
Rotational Transformation

The purpose of this study was to examine the time course of changes in cerebral activity and functional connectivity during long-term adaptation to a visuomotor transformation. Positron emission tomography was used to measure changes in brain activity as subjects tracked a target under the influence of a rotational transformation that distorted visual feedback. The experiment was 1 week long and consisted of two scanning sessions (obtained on days 2 and 7), aimed at examining early and late stages of learning. On average, visuomotor adaptation was achieved within 3 days. During early stages of adaptation, better performance was associated with greater activity in brain areas related to attention including bilateral dorso- and ventrolateral prefrontal cortices, frontal eye fields, and the human homologue of area MT. However, as adaptation proceeded, improvements in performance were associated with greater activity in motor regions such as the left (contralateral) sensorimotor cortex, bilateral anterior cerebellum, left cingulate motor area, right putamen, and a nonmotor region within the middle temporal gyrus. This learning-specific shift in brain activity was associated with a progressive change in the functional connectivity of these regions toward the end of the first session. Interestingly, only the functional connections between the anterior cerebellum, left middle temporal gyrus, and left sensorimotor cortex remained strong once visuomotor adaptation was achieved. Our findings suggest that visuomotor adaptation is not only reflected in persistent changes in activity in motor-related regions, but also in the strengthening and maintenance of specific functional connections.

scholarly journals Aberrant Functional Connectivity in Resting State Networks of ADHD Patients Revealed by Independent Component Analysis(ICA)

2019 ◽  
Author(s):  
Huayu Zhang ◽  
Yue Zhao ◽  
Weifang Cao ◽  
Dong Cui ◽  
Qing Jiao ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Superior Temporal Gyrus ◽  
Middle Temporal Gyrus ◽  
Typically Developing ◽  
Middle Temporal ◽  
Group Ica ◽  
The Right ◽  
Brain Functional Connectivity ◽  
Left Middle Temporal Gyrus

Abstract Background：ADHD is one of the most common psychiatric disorders in children and adolescents. Altered functional connectivity has been associated with ADHD symptoms. This study aimed to investigate abnormal changes in the functional connectivity of resting-state brain networks (RSNs) among adolescent patients with different subtypes of ADHD. Methods: The data were obtained from the ADHD-200 Global Competition, including fMRI data from 88 ADHD patients (56 patients of ADHD-Combined，ADHD-C and 32 patients of ADHD-Inattentive, ADHD-I) and 67 Typically-Developing Controls (TD-C). Group ICA was utilized to research aberrant brain functional connectivity within different subtypes of ADHD. Results: Compared with TD-C group, the clusters of decreased functional connectivity were located in the left inferior occipital gyrus (p=0.0041) and right superior occipital gyrus (p=0.0011) of DAN, supplementary motor area (p=0.0036) of ECN, left supramarginal gyrus (p=0.0081) of SN, middle temporal gyrus (p=0.0041) and superior medial frontal gyrus (p=0.0055) of DMN in ADHD-C group. In the ADHD-I group, decreased functional connectivity was found in the right superior parietal gyrus (p=0.0017) of DAN and left middle temporal gyrus (p=0.0105) of DMN. The decreased functional connectivity of ADHD-C group was found in superior temporal gyrus (p=0.0062) of AN, inferior temporal gyrus (p=0.0016) of DAN, dorsolateral superior frontal gyrus (p=0.0082) of DMN compared to ADHD-I group. All the clusters surviving at p<0.05 (AlphaSim correction). Conclusion: The results suggested that decreased functional connectivity within the DMN and DAN was responsible, at least in part, for the symptom of inattention in ADHD-I patients. Similarly, we believed that the impaired functional connectivity within networks may contribute to the manifestations of ADHD-C patients, including inattention, hyperactivity/impulsivity, and unconscious movements.

scholarly journals Aberrant functional connectivity in resting state networks of ADHD patients revealed by independent component analysis

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Huayu Zhang ◽  
Yue Zhao ◽  
Weifang Cao ◽  
Dong Cui ◽  
Qing Jiao ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Superior Temporal Gyrus ◽  
Middle Temporal Gyrus ◽  
Middle Temporal ◽  
Dorsal Attention Network ◽  
Group Ica ◽  
The Right ◽  
Brain Functional Connectivity ◽  
Left Middle Temporal Gyrus

Abstract Background ADHD is one of the most common psychiatric disorders in children and adolescents. Altered functional connectivity has been associated with ADHD symptoms. This study aimed to investigate abnormal changes in the functional connectivity of resting-state brain networks (RSNs) among adolescent patients with different subtypes of ADHD. Methods The data were obtained from the ADHD-200 Global Competition, including fMRI data from 88 ADHD patients (56 patients of ADHD-Combined, ADHD-C and 32 patients of ADHD-Inattentive, ADHD-I) and 67 typically developing controls (TD-C). Group ICA was utilized to research aberrant brain functional connectivity within the different subtypes of ADHD. Results In comparison with the TD-C group, the ADHD-C group showed clusters of decreased functional connectivity in the left inferior occipital gyrus (p = 0.0041) and right superior occipital gyrus (p = 0.0011) of the dorsal attention network (DAN), supplementary motor area (p = 0.0036) of the executive control network (ECN), left supramarginal gyrus (p = 0.0081) of the salience network (SN), middle temporal gyrus (p = 0.0041), and superior medial frontal gyrus (p = 0.0055) of the default mode network (DMN), while the ADHD-I group showed decreased functional connectivity in the right superior parietal gyrus (p = 0.0017) of the DAN and left middle temporal gyrus (p = 0.0105) of the DMN. In comparison with the ADHD-I group, the ADHD-C group showed decreased functional connectivity in the superior temporal gyrus (p = 0.0062) of the AN, inferior temporal gyrus (p = 0.0016) of the DAN, and the dorsolateral superior frontal gyrus (p = 0.0082) of the DMN. All the clusters surviving at p < 0.05 (AlphaSim correction). Conclusion The results suggested that decreased functional connectivity within the DMN and DAN was responsible, at least in part, for the symptom of inattention in ADHD-I patients. Similarly, we believed that the impaired functional connectivity within networks may contribute to the manifestations of ADHD-C patients, including inattention, hyperactivity/impulsivity, and unconscious movements.

scholarly journals Link-Level Functional Connectivity Neuroalterations in Autism Spectrum Disorder: A Developmental Resting-State fMRI Study

Diagnostics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 32
Author(s):  
Lluis Borràs-Ferrís ◽  
Úrsula Pérez-Ramírez ◽  
David Moratal
Keyword(s):  
Autism Spectrum Disorder ◽  
Functional Connectivity ◽  
Resting State ◽  
Data Exchange ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Statistical Dependence ◽  
Middle Temporal Gyrus ◽  
Middle Temporal ◽  
Brain Functions

Autism spectrum disorder (ASD) is a neurological and developmental disorder whose late diagnosis is based on subjective tests. In seeking for earlier diagnosis, we aimed to find objective biomarkers via analysis of resting-state functional MRI (rs-fMRI) images obtained from the Autism Brain Image Data Exchange (ABIDE) database. Thus, we estimated brain functional connectivity (FC) between pairs of regions as the statistical dependence between their neural-related blood-oxygen-level-dependent (BOLD) signals. We compared FC of individuals with ASD and healthy controls, matched by age and intelligence quotient (IQ), and split into three age groups (50 children, 98 adolescents, and 32 adults), from a developmental perspective. After estimating the correlation, we observed hypoconnectivities in children and adolescents with ASD between regions belonging to the default mode network (DMN). Concretely, in children, FC decreased between the left middle temporal gyrus and right frontal pole (p = 0.0080), and between the left orbitofrontal cortex and right superior frontal gyrus (p = 0.0144). In adolescents, this decrease was observed between bilateral postcentral gyri (p = 0.0012), and between the right precuneus and right middle temporal gyrus (p = 0.0236). These results help to gain a better understanding of the involved regions on autism and its connection with the affected superior cognitive brain functions.

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