scholarly journals Agreement between functional connectivity and cortical thickness-driven correlation maps of the medial frontal cortex

PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0171803 ◽  
Author(s):  
Hyunjin Park ◽  
Yeong-Hun Park ◽  
Jungho Cha ◽  
Sang Won Seo ◽  
Duk L. Na ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Frontal Cortex ◽  
Cortical Thickness ◽  
Medial Frontal Cortex

scholarly journals Variability of the paracingulate sulcus and morphometry of the medial frontal cortex: Associations with cortical thickness, surface area, volume, and sulcal depth

2008 ◽  
Vol 29 (2) ◽  
pp. 222-236 ◽  
Author(s):  
Alex Fornito ◽  
Stephen J. Wood ◽  
Sarah Whittle ◽  
Jack Fuller ◽  
Chris Adamson ◽  
...  
Keyword(s):  
Frontal Cortex ◽  
Surface Area ◽  
Cortical Thickness ◽  
Medial Frontal Cortex ◽  
Sulcal Depth

Selection for Action: The Medial Frontal Cortex Is an Executive Hub for Stimulus and Response Selection

2021 ◽  
pp. 1-28
Author(s):  
Dariusz Asanowicz ◽  
Bartłomiej Panek ◽  
Ilona Kotlewska
Keyword(s):  
Functional Connectivity ◽  
Frontal Cortex ◽  
Phase Synchronization ◽  
Visual Stimulation ◽  
Response Selection ◽  
Flanker Task ◽  
Medial Frontal Cortex ◽  
Conflict Condition ◽  
Underlying Processes ◽  
Selection For Action

Abstract This EEG study investigates the electrophysiological activity underlying processes of stimulus and response selection, and their executive orchestration via long-range functional connectivity under conflict condition, in order to shed more light on how these brain dynamics shape individual behavioral performance. Participants (n = 91) performed a modified flanker task, in which bilateral visual stimulation and a bimanual response pattern were employed to isolate the stimulus and response selection-related lateralized activity. First, we identified conflict-related markers of task-relevant processes; most importantly, the stimulus and response selection were evidenced by contra–ipsilateral differences in visual and motor activity, respectively, and executive control was evidenced by modulations of midfrontal activity. Second, we identified conflict-related functional connectivity between midfrontal and other task-relevant areas. The results showed that interregional phase synchronization in theta band was centered at the midfrontal site, interpreted here as a “hub” of executive communication. Importantly, the theta functional connectivity was more robust under the condition of increased demands for stimulus and response selection, including connectivity between the medial frontal cortex and the lateral frontal and motor areas, as well as cross-frequency theta–alpha coupling between the medial frontal cortex and contralateral visual areas. Third, we showed that individual differences in the measured conflict-related EEG activity, particularly the midfrontal N2, theta power, and global theta connectivity, predict the behavioral efficiency in conflict resolution.

scholarly journals Divergence of rodent and primate medial frontal cortex functional connectivity

2020 ◽  
Vol 117 (35) ◽  
pp. 21681-21689 ◽  
Author(s):  
David J. Schaeffer ◽  
Yuki Hori ◽  
Kyle M. Gilbert ◽  
Joseph S. Gati ◽  
Ravi S. Menon ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Frontal Cortex ◽  
Nonhuman Primates ◽  
Functional Organization ◽  
Brain Connectivity ◽  
Medial Frontal Cortex ◽  
Preclinical Model ◽  
Preclinical Research ◽  
Ultra High Field ◽  
Dorsolateral Prefrontal

With the medial frontal cortex (MFC) centrally implicated in several major neuropsychiatric disorders, it is critical to understand the extent to which MFC organization is comparable between humans and animals commonly used in preclinical research (namely rodents and nonhuman primates). Although the cytoarchitectonic structure of the rodent MFC has mostly been conserved in humans, it is a long-standing question whether the structural analogies translate to functional analogies. Here, we probed this question using ultra high field fMRI data to compare rat, marmoset, and human MFC functional connectivity. First, we applied hierarchical clustering to intrinsically define the functional boundaries of the MFC in all three species, independent of cytoarchitectonic definitions. Then, we mapped the functional connectivity “fingerprints” of these regions with a number of different brain areas. Because rats do not share cytoarchitectonically defined regions of the lateral frontal cortex (LFC) with primates, the fingerprinting method also afforded the unique ability to compare the rat MFC and marmoset LFC, which have often been suggested to be functional analogs. The results demonstrated remarkably similar intrinsic functional organization of the MFC across the species, but clear differences between rodent and primate MFC whole-brain connectivity. Rat MFC patterns of connectivity showed greatest similarity with premotor regions in the marmoset, rather than dorsolateral prefrontal regions, which are often suggested to be functionally comparable. These results corroborate the viability of the marmoset as a preclinical model of human MFC dysfunction, and suggest divergence of functional connectivity between rats and primates in both the MFC and LFC.

scholarly journals Pretreatment Source Location and Functional Connectivity Network Correlated With Therapy Response in Childhood Absence Epilepsy: A Magnetoencephalography Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Ke Zhang ◽  
Jintao Sun ◽  
Yulei Sun ◽  
Kai Niu ◽  
Pengfei Wang ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Frontal Cortex ◽  
Region Of Interest ◽  
Therapy Response ◽  
Source Location ◽  
Absence Epilepsy ◽  
Response To Therapy ◽  
Medial Frontal Cortex ◽  
Childhood Absence Epilepsy ◽  
Source Imaging

Objective: This study aims to investigate the differences between antiepileptic drug (AED) responders and nonresponders among patients with childhood absence epilepsy (CAE) using magnetoencephalography (MEG) and to additionally evaluate whether the neuromagnetic signals of the brain neurons were correlated with the response to therapy.Methods: Twenty-four drug-naïve patients were subjected to MEG under six frequency bandwidths during ictal periods. The source location and functional connectivity were analyzed using accumulated source imaging and correlation analysis, respectively. All patients were treated with appropriate AED, at least 1 year after their MEG recordings, their outcome was assessed, and they were consequently divided into responders and nonresponders.Results: The source location of the nonresponders was mainly in the frontal cortex at a frequency range of 8–12 and 30–80 Hz, especially 8–12 Hz, while the source location of the nonresponders was mostly in the medial frontal cortex, which was chosen as the region of interest. The nonresponders showed strong positive local frontal connections and deficient anterior and posterior connections at 80–250 Hz.Conclusion: The frontal cortex and especially the medial frontal cortex at α band might be relevant to AED-nonresponsive CAE patients. The local frontal positive epileptic network at 80–250 Hz in our study might further reveal underlying cerebral abnormalities even before treatment in CAE patients, which could cause them to be nonresponsive to AED. One single mechanism cannot explain AED resistance; the nonresponders may represent a subgroup of CAE who is refractory to several antiepileptic drugs.

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