Network Dynamics: How Large-Scale Brain Networks Interact



Leonard F. Koziol, Deborah Ely Budding and Dana ChidekelSpringerBriefs in NeuroscienceADHD as a Model of Brain-Behavior Relationships201310.1007/978-1-4614-8382-3_22© The Author(s) 2013


Neural Network Dynamics: How Large-Scale Brain Networks Interact



Leonard F. Koziol , Deborah Ely Budding2, 4   and Dana Chidekel3


(1)
Neuropsychological Consultant, Arlington Heights, IL, USA

(2)
Harbor-UCLA Medical Center, N. Sepulveda Blvd. 509, Torrance, CA, USA

(3)
Private Practice, 18321, Ventura Blvd, Suite 510, Tarzana, CA, USA

(4)
Private Practice, Manhattan Beach, CA, USA

 



 

Leonard F. Koziol (Corresponding author)



 

Deborah Ely Budding



Abstract

Successful sensorimotor interaction must be a dynamic process with a changing neuroanatomic locus of control dependent upon task or environmental conditions. The first study of multiple neural network dynamics and response inhibition was conducted by Steven and colleagues, who used a functional neuroimaging paradigm to study normal control adolescent and adult subjects as they performed a go/no-go task [167].


Successful sensorimotor interaction must be a dynamic process with a changing neuroanatomic locus of control dependent upon task or environmental conditions. The first study of multiple neural network dynamics and response inhibition was conducted by Stevens and colleagues, who used a functional neuroimaging paradigm to study normal control adolescent and adult subjects as they performed a go/no-go task [167]. Results revealed that successful response inhibition was dependent on three response inhibition networks that formed an interdependent, hierarchically organized system. Within this system, thalamic modulation of input to the premotor cortex by fronto-striatal regions resulted in response inhibition. One network, described as consistent with the indirect pathway of the basal ganglia, recruited increased activity within the caudate nucleus and bilateral dorsolateral prefrontal cortex while selectively reducing activity in premotor regions known to be activated in conditioned response tasks. This circuit inhibited the premotor region’s response to learned motor responses. A second network demonstrated decreased activity within the precentral gyri and inferior temporal cortex. These regions are involved in translating sensory information into certain actions and are typically engaged in object recognition, polymodal sensory integration through the anterior insula, and the well-documented successful response inhibition involving the right inferior frontal cortex. The third network, activated by correct no-go responses, consisted of the inferior right frontal gyrus, the right dorsolateral and bilateral fronto-polar prefrontal cortex, the bilateral inferior parietal lobule, the pre-SMA region, the thalamus, and the cerebellum. These brain regions have been associated with increased activity during performance of tasks requiring executive, cognitive control over attention and working memory. Activation of this network appears to bias or recruit activity in other brain regions for the purpose of accomplishing goal-directed behaviors. All three networks functioned as an ensemble for successful response inhibition and generated their effects through the direct and indirect pathways of the primary fronto-striatal–thalamic network.

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Oct 22, 2016 | Posted by in NEUROSURGERY | Comments Off on Network Dynamics: How Large-Scale Brain Networks Interact

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