General Networks with Batch Movements and Batch Services

NeuroSci ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 75-94
Author(s):  
Kulpreet Cheema ◽  
William E. Hodgetts ◽  
Jacqueline Cummine

Much work has been done to characterize domain-specific brain networks associated with reading, but very little work has been done with respect to spelling. Our aim was to characterize domain-specific spelling networks (SpNs) and domain-general resting state networks (RSNs) in adults with and without literacy impairments. Skilled and impaired adults were recruited from the University of Alberta. Participants completed three conditions of an in-scanner spelling task called a letter probe task (LPT). We found highly connected SpNs for both groups of individuals, albeit comparatively more connections for skilled (50) vs. impaired (43) readers. Notably, the SpNs did not correlate with spelling behaviour for either group. We also found relationships between SpNs and RSNs for both groups of individuals, this time with comparatively fewer connections for skilled (36) vs. impaired (53) readers. Finally, the RSNs did predict spelling performance in a limited manner for the skilled readers. These results advance our understanding of brain networks associated with spelling and add to the growing body of literature that describes the important and intricate connections between domain-specific networks and domain-general networks (i.e., resting states) in individuals with and without developmental disorders.


2021 ◽  
Vol 1 (1) ◽  
pp. 22-26
Author(s):  
Chao Zhang ◽  
Huan Cao ◽  
Yun-Feng Huang ◽  
Bi-Heng Liu ◽  
Chuan-Feng Li ◽  
...  

2019 ◽  
Vol 957 ◽  
pp. 247-254
Author(s):  
Markus Moritz ◽  
Daniel Fuchs ◽  
Marian Gheorghe

In general, networks in companies or between companies play a significant role for monetary as well as non-monetary enhancement through cooperation. The aim is a positive effect for reducing innovation cycles, reducing costs and establishing a well-balanced time to market strategy. Besides open networks, where every actor is known, the existence of hidden networks, internal as well as external, have a substantial impact on strategic and operational activities meaning either a contribution or threat for the actors outside the hidden network. With the new models introduced in this publication, actors in various environments are able to identify hidden networks in order to be able to push contributions or eliminate risks leading from profit cuts to illegal knowledge transfer.


2002 ◽  
Vol 303 (5-6) ◽  
pp. 337-344 ◽  
Author(s):  
Zonghua Liu ◽  
Ying-Cheng Lai ◽  
Nong Ye ◽  
Partha Dasgupta

Brain ◽  
2020 ◽  
Vol 143 (3) ◽  
pp. 844-861 ◽  
Author(s):  
Anika Stockert ◽  
Max Wawrzyniak ◽  
Julian Klingbeil ◽  
Katrin Wrede ◽  
Dorothee Kümmerer ◽  
...  

Abstract The loss and recovery of language functions are still incompletely understood. This longitudinal functional MRI study investigated the neural mechanisms underlying language recovery in patients with post-stroke aphasia putting particular emphasis on the impact of lesion site. To identify patterns of language-related activation, an auditory functional MRI sentence comprehension paradigm was administered to patients with circumscribed lesions of either left frontal (n = 17) or temporo-parietal (n = 17) cortex. Patients were examined repeatedly during the acute (≤1 week, t1), subacute (1–2 weeks, t2) and chronic phase (>6 months, t3) post-stroke; healthy age-matched control subjects (n = 17) were tested once. The separation into two patient groups with circumscribed lesions allowed for a direct comparison of the contributions of distinct lesion-dependent network components to language reorganization between both groups. We hypothesized that activation of left hemisphere spared and perilesional cortex as well as lesion-homologue cortex in the right hemisphere varies between patient groups and across time. In addition, we expected that domain-general networks serving cognitive control independently contribute to language recovery. First, we found a global network disturbance in the acute phase that is characterized by reduced functional MRI language activation including areas distant to the lesion (i.e. diaschisis) and subsequent subacute network reactivation (i.e. resolution of diaschisis). These phenomena were driven by temporo-parietal lesions. Second, we identified a lesion-independent sequential activation pattern with increased activity of perilesional cortex and bilateral domain-general networks in the subacute phase followed by reorganization of left temporal language areas in the chronic phase. Third, we observed involvement of lesion-homologue cortex only in patients with frontal but not temporo-parietal lesions. Fourth, irrespective of lesion location, language reorganization predominantly occurred in pre-existing networks showing comparable activation in healthy controls. Finally, we detected different relationships of performance and activation in language and domain-general networks demonstrating the functional relevance for language recovery. Our findings highlight that the dynamics of language reorganization clearly depend on lesion location and hence open new perspectives for neurobiologically motivated strategies of language rehabilitation, such as individually-tailored targeted application of neuro-stimulation.


2018 ◽  
Vol 37 (2) ◽  
pp. 229-234
Author(s):  
David Aldous

THE SI AND SIR EPIDEMICS ON GENERAL NETWORKSIntuitively one expects that for any plausible parametric epide mic model, there wil l be some region in parameter-space where the epidemicaffects with high probability only a small proportion of a largepopulation, another region where it affects with high probability a nonnegligible proportion, with a lower-dimensional “critical” interface. This dichotomy is certainly true in well-studied specific models, but we know o fno very general results. A recent result stated for a bond percolation modelcan be restated as giving weak conditions under which the dichotomy holdsfor an SI epidemic model on arbitrary finite networks. This result suggestsa conjecture for more complex and more realistic SIR epidemic models, and the purpose of this article is to record the conjecture.


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