scholarly journals Altered Developmental Trajectories in Intrinsic Function between Default, Salience, and Executive Networks in High-Functioning Autism

2018 ◽  
Author(s):  
Liu Yang ◽  
Xiao Chen ◽  
Xue Li ◽  
Yang-Qian Shen ◽  
Hui Wang ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Developmental Trajectories ◽  
Cingulate Cortex ◽  
Autism Spectrum ◽  
Developmental Trajectory ◽  
Anterior Cingulate ◽  
Ventral Medial Prefrontal Cortex ◽  
Age Related ◽  
Brain Functional Connectivity ◽  
Age Related Changes

AbstractAlthough many studies have focused on abnormal patterns of brain functional connectivity in Autism spectrum disorder (ASD), one important factor, the developmental effect of brain networks was largely overlooked. To clarify the abnormal developmental trajectory of brain functional connectivity in ASD, we focused on the age-related changes in three “core” neurocognitive networks: default mode network (DMN), salience network (SN) and central executive network (CEN, also divided into left and right CEN, i.e., lCEN and rCEN). The development of intrinsic functional connectivity (iFC) within and between these networks were analyzed in 107 Chinese participants, including children, adolescents, and adults (54 patients with ASD and 53 typically developed (TD) participants; ages 6-30 years). We found that diagnosis-related distinctions in age-related changes suggest three maturation patterns in networks’ or nodes’ iFC: delayed (iFC between SN and rCEN), ectopic (iFC between SN and DMN, and iFC between posterior cingulate cortex (PCC) and right anterior insula/dorsal anterior cingulate cortex (dACC)), and failure maturation (iFC between dACC and ventral medial prefrontal cortex). Compared with age-matched TD participants, ASD patients in children and adolescents exhibited hypo-connectivity, while that in adults showed hyper-connectivity. In addition, an independent verification based on Autism Brain Imaging Data Exchange (ABIDE) datasets confirmed our findings of developmental trajectories in ASD group, which also showed unchanged functional connectivity with age between DMN and SN and increasing iFC between rCEN and SN. The conspicuous differences in the development of three “core” networks in ASD were demonstrated, which may lead a nuanced understanding towards the abnormal brain network maturation trajectory of autism.

scholarly journals Using a self-organizing map algorithm to detect age-related changes in functional connectivity during rest in autism spectrum disorders

2011 ◽  
Vol 1380 ◽  
pp. 187-197 ◽  
Author(s):  
Jillian Lee Wiggins ◽  
Scott J. Peltier ◽  
Samantha Ashinoff ◽  
Shih-Jen Weng ◽  
Melisa Carrasco ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Functional Connectivity ◽  
Autism Spectrum ◽  
Self Organizing Map ◽  
Map Algorithm ◽  
Age Related ◽  
Spectrum Disorders ◽  
Age Related Changes ◽  
Self Organizing

scholarly journals Age-Related Changes in the Functional Network Underlying Specific and General Autobiographical Memory Retrieval: A Pivotal Role for the Anterior Cingulate Cortex

PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e82385 ◽  
Author(s):  
Pénélope Martinelli ◽  
Marco Sperduti ◽  
Anne-Dominique Devauchelle ◽  
Sandrine Kalenzaga ◽  
Thierry Gallarda ◽  
...  
Keyword(s):  
Autobiographical Memory ◽  
Anterior Cingulate Cortex ◽  
Memory Retrieval ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Pivotal Role ◽  
Functional Network ◽  
Age Related ◽  
Age Related Changes

scholarly journals Age-related changes in anterior cingulate cortex glutamate in schizophrenia: A 1H MRS Study at 7Tesla

2016 ◽  
Vol 172 (1-3) ◽  
pp. 101-105 ◽  
Author(s):  
Allison S. Brandt ◽  
Paul G. Unschuld ◽  
Subechhya Pradhan ◽  
Issel Anne L. Lim ◽  
Gregory Churchill ◽  
...  
Keyword(s):  
Anterior Cingulate Cortex ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
1H Mrs ◽  
Age Related ◽  
Age Related Changes

scholarly journals Localized Prediction of Glutamate from Whole-Brain Functional Connectivity of the Pregenual Anterior Cingulate Cortex

2020 ◽  
Vol 40 (47) ◽  
pp. 9028-9042
Author(s):  
Louise Martens ◽  
Nils B. Kroemer ◽  
Vanessa Teckentrup ◽  
Lejla Colic ◽  
Nicola Palomero-Gallagher ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Anterior Cingulate Cortex ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Whole Brain ◽  
Brain Functional Connectivity

Alterations in Local Connectivity and Their Developmental Trajectories in Autism Spectrum Disorder: Does Being Female Matter?

2020 ◽  
Vol 30 (9) ◽  
pp. 5166-5179 ◽  
Author(s):  
Nataliia Kozhemiako ◽  
Adonay S Nunes ◽  
Vasily Vakorin ◽  
Grace Iarocci ◽  
Urs Ribary ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Developmental Trajectories ◽  
Resting State Fmri ◽  
Autism Spectrum ◽  
Developmental Trajectory ◽  
Spectrum Disorder ◽  
Local Connectivity ◽  
Age Related ◽  
Female Protective Effect ◽  
Effect Hypothesis

Abstract Autism spectrum disorder (ASD) is diagnosed more often in males with a ratio of 1:4 females/males. This bias is even stronger in neuroimaging studies. There is a growing evidence suggesting that local connectivity and its developmental trajectory is altered in ASD. Here, we aim to investigate how local connectivity and its age-related trajectories vary with ASD in both males and females. We used resting-state fMRI data from the ABIDE I and II repository: males (n = 102) and females (n = 92) with ASD, and typically developing males (n = 104) and females (n = 92) aged between 6 and 26. Local connectivity was quantified as regional homogeneity. We found increases in local connectivity in participants with ASD in the somatomotor and limbic networks and decreased local connectivity within the default mode network. These alterations were more pronounced in females with ASD. In addition, the association between local connectivity and ASD symptoms was more robust in females. Females with ASD had the most distinct developmental trajectories of local connectivity compared with other groups. Overall, our findings of more pronounced local connectivity alterations in females with ASD could indicate a greater etiological load for an ASD diagnosis in this group congruent with the female protective effect hypothesis.

scholarly journals Anterior Cingulate Cortex Activity During Rest Is Related to Alterations in Pain Perception in Aging

2021 ◽  
Vol 13 ◽  
Author(s):  
Juan L. Terrasa ◽  
Pedro Montoya ◽  
Carolina Sitges ◽  
Marian van der Meulen ◽  
Fernand Anton ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Pain Intensity ◽  
Anterior Cingulate Cortex ◽  
Resting State ◽  
Pain Perception ◽  
Brain Activity ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Age Related ◽  
Postcentral Gyrus

Alterations in the affective component of pain perception are related to the development of chronic pain and may contribute to the increased vulnerability to pain observed in aging. The present study analyzed age-related changes in resting-state brain activity and their possible relation to an increased pain perception in older adults. For this purpose, we compared EEG current source density and fMRI functional-connectivity at rest in older (n = 20, 66.21 ± 3.08 years) and younger adults (n = 21, 20.71 ± 2.30 years) and correlated those brain activity parameters with pain intensity and unpleasantness ratings elicited by painful stimulation. We found an age-related increase in beta2 and beta3 activity in temporal, frontal, and limbic areas, and a decrease in alpha activity in frontal areas. Moreover, older participants displayed increased functional connectivity in the anterior cingulate cortex (ACC) and the insula with precentral and postcentral gyrus. Finally, ACC beta3 activity was positively correlated with pain intensity and unpleasantness ratings in older, and ACC-precentral/postcentral gyrus connectivity was positively correlated with unpleasantness ratings in older and younger participants. These results reveal that ACC resting-state hyperactivity is a stable trait of brain aging and may underlie their characteristic altered pain perception.

scholarly journals Atypical developmental features of cortical thickness trajectories in Autism Spectrum Disorder

2019 ◽  
Author(s):  
Adonay S Nunes ◽  
Vasily A Vakorin ◽  
Nataliia Kozhemiako ◽  
Nicholas Peatfield ◽  
Urs Ribary ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Cortical Thickness ◽  
Developmental Trajectories ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Quadratic Model ◽  
Group Differences ◽  
Age Related ◽  
Developmental Features ◽  
Age Related Changes

AbstractNeuroimaging studies have reported numerous region-specific atypicalities in the brains of individuals with Autism Spectrum Disorder (ASD), including alterations in cortical thickness (CT). However, there are many inconsistent findings, and this is probably due to atypical CT developmental trajectories in ASD. To this end, we investigated group differences in terms of shapes of developmental trajectories of CT between ASD and typically developing (TD) populations.Using the Autism Brain Imaging Data Exchange (ABIDE) repository (releases I and II combined), we investigated atypical shapes of developmental trajectories in ASD using a linear, quadratic and cubic models at various scales of spatial coarseness, and their association with symptomatology using the Autism Diagnostic Observation Schedule (ADOS) scores. These parameters were also used to predict ASD and TD CT development.While no overall group differences in CT was observed across the entire age range, ASD and TD populations were different in terms of age-related changes. Developmental trajectories of CT in ASD were mostly characterized by decreased cortical thinning during early adolescence and increased thinning at later stages, involving mostly frontal and parietal areas. Such changes were associated with ADOS scores. The curvature of the trajectories estimated from the quadratic model was the most accurate and sensitive measure for detecting ASD. Our findings suggest that under the context of longitudinal changes in brain morphology, robust detection of ASD would require three time points to estimate the curvature of age-related changes.

scholarly journals Localized prediction of glutamate from whole-brain functional connectivity of the pregenual anterior cingulate cortex

2020 ◽  
Author(s):  
Louise Martens ◽  
Nils B. Kroemer ◽  
Vanessa Teckentrup ◽  
Lejla Colic ◽  
Nicola Palomero-Gallagher ◽  
...  
Keyword(s):  
Machine Learning ◽  
Functional Connectivity ◽  
Anterior Cingulate Cortex ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Resonance Spectroscopy ◽  
Learning Approaches ◽  
Least Squares Regression ◽  
Brain Functional Connectivity ◽  
Spatial Specificity

AbstractLocal measures of neurotransmitters provide crucial insights into neurobiological changes underlying altered functional connectivity in psychiatric disorders. However, non-invasive neuroimaging techniques such as magnetic resonance spectroscopy (MRS) may cover anatomically and functionally distinct areas, such as p32 and p24 of the pregenual anterior cingulate cortex (pgACC). Here, we aimed to overcome this low spatial specificity of MRS by predicting local glutamate and GABA based on functional characteristics and neuroanatomy, using complementary machine learning approaches. Functional connectivity profiles of pgACC area p32 predicted pgACC glutamate better than chance (R2 = .324) and explained more variance compared to area p24 using both elastic net and partial least squares regression. In contrast, GABA could not be robustly predicted. To summarize, machine learning helps exploit the high resolution of fMRI to improve the interpretation of local neurometabolism. Our augmented multimodal imaging analysis can deliver novel insights into neurobiology by using complementary information.

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