IC-P-072: Aβ-related functional alteration in a frontoparietal control network in cognitively normal elderly

2015 ◽  
Vol 11 (7S_Part_1) ◽  
pp. P53-P53
Author(s):  
Hwamee Oh ◽  
Jason Steffener ◽  
Ray Razlighi ◽  
Christian Habeck ◽  
Dan Liu ◽  
...  
Keyword(s):  
Control Network ◽  
Cognitively Normal ◽  
Frontoparietal Control Network ◽  
Functional Alteration

P2-164: Aβ-related functional alteration in a frontoparietal control network in cognitively normal elderly

2015 ◽  
Vol 11 (7S_Part_12) ◽  
pp. P552-P552
Author(s):  
Hwamee Oh ◽  
Jason Steffener ◽  
Ray Razlighi ◽  
Christian Habeck ◽  
Dan Liu ◽  
...  
Keyword(s):  
Control Network ◽  
Cognitively Normal ◽  
Frontoparietal Control Network ◽  
Functional Alteration

Altered Resting-State Frontoparietal Control Network in Children with Attention-Deficit/Hyperactivity Disorder

2015 ◽  
Vol 21 (4) ◽  
pp. 271-284 ◽  
Author(s):  
Hsiang-Yuan Lin ◽  
Wen-Yih Isaac Tseng ◽  
Meng-Chuan Lai ◽  
Kayako Matsuo ◽  
Susan Shur-Fen Gau
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Prefrontal Cortex ◽  
Functional Connectivity ◽  
Resting State ◽  
Control Network ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
Anterior Prefrontal Cortex ◽  
The Right ◽  
Frontoparietal Control Network

AbstractThe frontoparietal control network, anatomically and functionally interposed between the dorsal attention network and default mode network, underpins executive control functions. Individuals with attention-deficit/hyperactivity disorder (ADHD) commonly exhibit deficits in executive functions, which are mainly mediated by the frontoparietal control network. Involvement of the frontoparietal control network based on the anterior prefrontal cortex in neurobiological mechanisms of ADHD has yet to be tested. We used resting-state functional MRI and seed-based correlation analyses to investigate functional connectivity of the frontoparietal control network in a sample of 25 children with ADHD (7–14 years; mean 9.94±1.77 years; 20 males), and 25 age-, sex-, and performance IQ-matched typically developing (TD) children. All participants had limited in-scanner head motion. Spearman’s rank correlations were used to test the associations between altered patterns of functional connectivity with clinical symptoms and executive functions, measured by the Conners’ Continuous Performance Test and Spatial Span in the Cambridge Neuropsychological Test Automated Battery. Compared with TD children, children with ADHD demonstrated weaker connectivity between the right anterior prefrontal cortex (PFC) and the right ventrolateral PFC, and between the left anterior PFC and the right inferior parietal lobule. Furthermore, this aberrant connectivity of the frontoparietal control network in ADHD was associated with symptoms of impulsivity and opposition-defiance, as well as impaired response inhibition and attentional control. The findings support potential integration of the disconnection model and the executive dysfunction model for ADHD. Atypical frontoparietal control network may play a pivotal role in the pathophysiology of ADHD. (JINS, 2015, 21, 271–284)

scholarly journals Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition

NeuroImage ◽  
2010 ◽  
Vol 53 (1) ◽  
pp. 303-317 ◽  
Author(s):  
R. Nathan Spreng ◽  
W. Dale Stevens ◽  
Jon P. Chamberlain ◽  
Adrian W. Gilmore ◽  
Daniel L. Schacter
Keyword(s):  
Network Activity ◽  
Default Network ◽  
Control Network ◽  
Frontoparietal Control Network

scholarly journals Pattern similarity in the frontoparietal control network reflects an "off-veridical" template that optimizes target-match decisions during visual search

2021 ◽  
Author(s):  
Xinger Yu ◽  
Joy J. Geng
Keyword(s):  
Prefrontal Cortex ◽  
Visual Search ◽  
Relevant Information ◽  
Control Network ◽  
Target Feature ◽  
Lateral Prefrontal Cortex ◽  
Probe Task ◽  
Target Template ◽  
Pattern Similarity ◽  
Frontoparietal Control Network

Theories of attention hypothesize the existence of an "attentional" or "target" template that contains task-relevant information in memory when searching for an object. The target template contributes to visual search by directing visual attention towards potential targets and serving as a decisional boundary for target identification. However, debate still exists regarding how template information is stored in the human brain. Here, we conducted a pattern-based fMRI study to assess how template information is encoded to optimize target-match decisions during visual search. To ensure that match decisions reflect visual search demands, we used a visual search paradigm in which all distractors were linearly separable but highly similar to the target and were known to shift the target representation away from the distractor features (Yu & Geng, 2019). In a separate match-to-sample probe task, we measured the target representation used for match decisions across two resting state networks that have long been hypothesized to maintain and control target information: the frontoparietal control network (FPCN) and the visual network (VisN). Our results showed that lateral prefrontal cortex in FPCN maintained the context-dependent "off-veridical" template; in contrast, VisN encoded a veridical copy of the target feature during match decisions. By using behavioral drift diffusion modeling, we verified that the decision criterion during visual search and the probe task relied on a common biased target template. Taken together, our results suggest that sensory-veridical information is transformed in lateral prefrontal cortex into an adaptive code of target-relevant information that optimizes decision processes during visual search.

Cingulo-opercular and frontoparietal control network connectivity and executive functioning in older adults

GeroScience ◽  
2021 ◽  
Author(s):  
Hanna K. Hausman ◽  
Cheshire Hardcastle ◽  
Alejandro Albizu ◽  
Jessica N. Kraft ◽  
Nicole D. Evangelista ◽  
...  
Keyword(s):  
Older Adults ◽  
Executive Functioning ◽  
Network Connectivity ◽  
Control Network ◽  
Frontoparietal Control Network

scholarly journals Intrinsic Architecture Underlying the Relations among the Default, Dorsal Attention, and Frontoparietal Control Networks of the Human Brain

2013 ◽  
Vol 25 (1) ◽  
pp. 74-86 ◽  
Author(s):  
R. Nathan Spreng ◽  
Jorge Sepulcre ◽  
Gary R. Turner ◽  
W. Dale Stevens ◽  
Daniel L. Schacter
Keyword(s):  
Functional Connectivity ◽  
Large Scale ◽  
Dynamic Balance ◽  
Brain Regions ◽  
Human Cognition ◽  
Control Network ◽  
Resting State Functional Connectivity ◽  
Attention Networks ◽  
Large Scale Networks ◽  
Frontoparietal Control Network

Human cognition is increasingly characterized as an emergent property of interactions among distributed, functionally specialized brain networks. We recently demonstrated that the antagonistic “default” and “dorsal attention” networks—subserving internally and externally directed cognition, respectively—are modulated by a third “frontoparietal control” network that flexibly couples with either network depending on task domain. However, little is known about the intrinsic functional architecture underlying this relationship. We used graph theory to analyze network properties of intrinsic functional connectivity within and between these three large-scale networks. Task-based activation from three independent studies were used to identify reliable brain regions (“nodes”) of each network. We then examined pairwise connections (“edges”) between nodes, as defined by resting-state functional connectivity MRI. Importantly, we used a novel bootstrap resampling procedure to determine the reliability of graph edges. Furthermore, we examined both full and partial correlations. As predicted, there was a higher degree of integration within each network than between networks. Critically, whereas the default and dorsal attention networks shared little positive connectivity with one another, the frontoparietal control network showed a high degree of between-network interconnectivity with each of these networks. Furthermore, we identified nodes within the frontoparietal control network of three different types—default-aligned, dorsal attention-aligned, and dual-aligned—that we propose play dissociable roles in mediating internetwork communication. The results provide evidence consistent with the idea that the frontoparietal control network plays a pivotal gate-keeping role in goal-directed cognition, mediating the dynamic balance between default and dorsal attention networks.

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