Ultra-high-order ICA: an exploration of highly resolved data-driven representation of intrinsic connectivity networks (sparse ICNs)

2019 ◽  
Author(s):  
Armin Iraji ◽  
Ashkan Faghiri ◽  
Noah Lewis ◽  
Zening Fu ◽  
Thomas DeRamus ◽  
...  
Keyword(s):  
High Order ◽  
Data Driven ◽  
Intrinsic Connectivity ◽  
Intrinsic Connectivity Networks

scholarly journals Behavioral Interpretations of Intrinsic Connectivity Networks

2011 ◽  
Vol 23 (12) ◽  
pp. 4022-4037 ◽  
Author(s):  
Angela R. Laird ◽  
P. Mickle Fox ◽  
Simon B. Eickhoff ◽  
Jessica A. Turner ◽  
Kimberly L. Ray ◽  
...  
Keyword(s):  
Cognitive Processes ◽  
Resting State ◽  
Brain Networks ◽  
Data Driven ◽  
Resting State Networks ◽  
Independent State ◽  
Intrinsic Connectivity ◽  
Mental Operations ◽  
Intrinsic Connectivity Networks ◽  
Insight Into

An increasingly large number of neuroimaging studies have investigated functionally connected networks during rest, providing insight into human brain architecture. Assessment of the functional qualities of resting state networks has been limited by the task-independent state, which results in an inability to relate these networks to specific mental functions. However, it was recently demonstrated that similar brain networks can be extracted from resting state data and data extracted from thousands of task-based neuroimaging experiments archived in the BrainMap database. Here, we present a full functional explication of these intrinsic connectivity networks at a standard low order decomposition using a neuroinformatics approach based on the BrainMap behavioral taxonomy as well as a stratified, data-driven ordering of cognitive processes. Our results serve as a resource for functional interpretations of brain networks in resting state studies and future investigations into mental operations and the tasks that drive them.

scholarly journals A Transdiagnostic Data-driven Study of Children’s Behaviour and the Functional Connectome

2021 ◽  
Author(s):  
J. S. Jones ◽  
D. E. Astle ◽  
Keyword(s):  
Executive Function ◽  
Data Driven ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Functional Connectome ◽  
Behavioural Difficulties ◽  
Intrinsic Connectivity ◽  
Intrinsic Connectivity Networks ◽  
Children’S Behaviour ◽  
The Brain

AbstractBehavioural difficulties are seen as hallmarks of many neurodevelopmental conditions. Differences in functional brain organisation have been observed in these conditions, but little is known about how they are related to a child’s profile of behavioural difficulties. We investigated whether behavioural difficulties are associated with how the brain is functionally organised in an intentionally heterogeneous and transdiagnostic sample of 957 children aged 5-15. We used consensus community detection to derive data-driven profiles of behavioural difficulties and constructed functional connectomes from a subset of 238 children with resting-state functional Magnetic Resonance Imaging (fMRI) data. We identified three distinct profiles of behaviour that were characterised by principal difficulties with hot executive function, cool executive function, and learning. Global organisation of the functional connectome did not differ between the groups, but multivariate patterns of connectivity at the level of Intrinsic Connectivity Networks (ICNs), nodes, and hubs significantly predicted group membership in held-out data. Fronto-parietal connector hubs were under-connected in all groups relative to a comparison sample, and children with hot vs cool executive function difficulties were distinguished by connectivity in ICNs associated with cognitive control, emotion processing, and social cognition. This demonstrates both general and specific neurodevelopmental risk factors in the functional connectome.

DYNAMICS OF INTRINSIC CONNECTIVITY NETWORKS IN SCHIZOPHRENIA

2014 ◽  
Vol 153 ◽  
pp. S12-S13
Author(s):  
Vince Calhoun ◽  
Dan Mathalon ◽  
Theo van Erp ◽  
Sarah J. McEwen ◽  
Adrian Preda ◽  
...  
Keyword(s):  
Intrinsic Connectivity ◽  
Intrinsic Connectivity Networks

scholarly journals Segregation and integration of the functional connectome in neurodevelopmentally 'at risk' children

2021 ◽  
Author(s):  
Jonathan S Jones ◽  
Duncan Astle ◽  
Keyword(s):  
At Risk ◽  
Functional Connectivity ◽  
Developmental Trajectories ◽  
Childhood And Adolescence ◽  
Cognitive Difficulties ◽  
Age Related ◽  
At Risk Children ◽  
Intrinsic Connectivity ◽  
Intrinsic Connectivity Networks ◽  
Learning Language

Functional connectivity within and between Intrinsic Connectivity Networks (ICNs) transforms over development and supports high order cognitive functions. But how variable is this process, and does it diverge with altered cognitive developmental trajectories? We investigated age-related changes in integration and segregation within and between ICNs in neurodevelopmentally at-risk children, identified by practitioners as experiencing cognitive difficulties in attention, learning, language, or memory. In our analysis we used performance on a battery of 10 cognitive tasks, alongside resting-state functional Magnetic Resonance Imaging in 175 at-risk children and 62 comparison children aged 5-16. We observed significant age-by-group interactions in functional connectivity between two network pairs. Integration between the ventral attention and visual networks and segregation of the limbic and fronto-parietal networks increased with age in our comparison sample, relative to at-risk children. Furthermore, functional connectivity between the ventral attention and visual networks in comparison children significantly mediated age-related improvements in executive function, compared to at-risk children. We conclude that integration between ICNs show divergent neurodevelopmental trends in the broad population of children experiencing cognitive difficulties, and that these differences in functional brain organisation may partly explain the pervasive cognitive difficulties within this group over childhood and adolescence.

Distinct Cerebellar Contributions to Intrinsic Connectivity Networks

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S152 ◽  
Author(s):  
C Habas ◽  
N Kamdar ◽  
D Nguyen ◽  
C Keller ◽  
CF Beckmann ◽  
...  
Keyword(s):  
Intrinsic Connectivity ◽  
Intrinsic Connectivity Networks

scholarly journals Alterations of Intrinsic Connectivity Networks in Antipsychotic-Naïve First-Episode Schizophrenia

2018 ◽  
Vol 44 (6) ◽  
pp. 1332-1340 ◽  
Author(s):  
Simon Anhøj ◽  
Mette Ødegaard Nielsen ◽  
Maria Høj Jensen ◽  
Kristin Ford ◽  
Birgitte Fagerlund ◽  
...  
Keyword(s):  
First Episode ◽  
Intrinsic Connectivity ◽  
Intrinsic Connectivity Networks ◽  
First Episode Schizophrenia
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