Can you summarize the current focus of neuroscience research and explain the importance of network dynamics in understanding brain functioning?
Generate according to: Reductionism historically forms the basis of science, although we now know that the whole of a scientific theory is almost never simply the sum of its parts. This particularly holds true for neuroscience, where the focus of research has shifted from localization of function to connectivity and network based thinking during recent decades. The brain is a network, combining local specialization with global segregation, and has a hierarchically modular structure. Brain functioning is probably mainly regulated by parts of the network that are most connected with the rest of the brain, so-called ‘hubs’.
An extensive body of current research aims at describing the healthy brain network (if such a unified concept exists) and network differences between healthy and diseased brains. However, it is impossible to understand brain functioning without also taking network dynamics into account. Development of network connectivity is a subject of study, but research has been limited to cross-sectional cohorts, while longitudinal efforts have rarely been made. Furthermore, damage to (brain) networks has a profound effect on connectivity patterns and behavioral correlates. Determining the effect of damage on the instantaneous topology of a network, but also taking more long-term plasticity and dynamics into account, will aid in understanding the behavioral effects of lesions and brain disease and may also direct us towards more tailored treatment strategies for patients inflicted.
We call for authors to submit research manuscripts relating to the effect of lesions or other types of manipulation or intervention on (brain) connectivity and network topology. Also, we hope to elaborate on the effect of time-scale on changes in network topology, by for instance having long-term follow-up of network functioning after initial damage or intervention. In order to gather a full overview of the field, we encourage both computational studies, in vitro work, as well as patient studies to submit. All modalities of neuronal network investigations are welcome, including fMRI, DTI, EEG, and MEG.
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1 - 4 of 4 articles | Assigned | In-Progress|Completed|Rejected|

2. Response: Effective treatment of pain after injury or surgery: a review of topical opioid use.
Submitted on: 11/15/2019 | Pending | In-Progress|Completed|Rejected|
Author: M.H.S. Bleichrodt, E. M. van den Berg, M. Blijhuis, R. Schoenmakers, M. J. C. C. Bouwman, L. Schilder
Subject: Research - review | 135(6), 350371 | DOI: 10.1111/acv.12992
Response status: Completed

6. Response: Reduced activity in the motor hand region in multiple sclerosis: a TMS study.
Submitted on: 12/03/2019 | Pending | In-Progress|Completed|Rejected|
Author: W. van Eijnden, I. C. Hadders-Algra, A. L. Toni, R. Kik, V. Geuze, J. van Heugten, R. Rispens, M. C. Schaafsma
Subject: Research article - observational study/randomized controlled trial | 136(5), 355794 | DOI: 10.1111/acv.13203
Response status: Completed
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Can you summarize the current focus of neuroscience research and explain the importance of network dynamics in understanding brain functioning?
Generate according to: Reductionism historically forms the basis of science, although we now know that the whole of a scientific theory is almost never simply the sum of its parts. This particularly holds true for neuroscience, where the focus of research has shifted from localization of function to connectivity and network based thinking during recent decades. The brain is a network, combining local specialization with global segregation, and has a hierarchically modular structure. Brain functioning is probably mainly regulated by parts of the network that are most connected with the rest of the brain, so-called ‘hubs’.
An extensive body of current research aims at describing the healthy brain network (if such a unified concept exists) and network differences between healthy and diseased brains. However, it is impossible to understand brain functioning without also taking network dynamics into account. Development of network connectivity is a subject of study, but research has been limited to cross-sectional cohorts, while longitudinal efforts have rarely been made. Furthermore, damage to (brain) networks has a profound effect on connectivity patterns and behavioral correlates. Determining the effect of damage on the instantaneous topology of a network, but also taking more long-term plasticity and dynamics into account, will aid in understanding the behavioral effects of lesions and brain disease and may also direct us towards more tailored treatment strategies for patients inflicted.
We call for authors to submit research manuscripts relating to the effect of lesions or other types of manipulation or intervention on (brain) connectivity and network topology. Also, we hope to elaborate on the effect of time-scale on changes in network topology, by for instance having long-term follow-up of network functioning after initial damage or intervention. In order to gather a full overview of the field, we encourage both computational studies, in vitro work, as well as patient studies to submit. All modalities of neuronal network investigations are welcome, including fMRI, DTI, EEG, and MEG.
user
Neuroscience research has shifted its focus from localization of function to connectivity and network-based thinking, recognizing that the brain is a network with a modular structure. Research aims to understand healthy brain networks and differences between healthy and diseased brains, but it is also essential to take network dynamics into account. Damage to brain networks affects connectivity patterns and behavioral correlates, making it crucial to determine the effect of lesions on the instantaneous and long-term topology of a network. Examining the effect of time-scale on network topology changes can direct tailored treatment strategies for patients. All modalities of neuronal network investigations are welcome to submit, including fMRI, DTI, EEG, and MEG.
assistant