Network Neuroscience
@netneurosci
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MIT Press Journal devoted to brain networks at all scales - molecular, neuronal, circuit, systems
Bloomington, IN
Joined July 2016
Just announced: Our 2022 Journal Impact Factor is π4.7π Thanks once again to all authors, reviewers, editors - and our terrific OA publisher @mitpress
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For context, this IF puts us right at, or above, several competing journals offered by commercial publishers (and our APC is much lower). We hope you will choose Network Neuroscience for your next brain-network-related article!
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Network Neuroscience (2023) 7 (1): 351β376. Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants https://t.co/XIVrtUxrcm
@MijalkovMite
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Network Neuroscience (2023) 7 (1): 322β350. Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference https://t.co/534fIE8ldF
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Network Neuroscience (2023) 7 (1): 299β321. Multimodal multilayer network centrality relates to executive functioning https://t.co/3VSHoYOJ6B
@lucasbreedt @LindaDouw
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Network Neuroscience (2023) 7 (1): 269β298. Circuit analysis of the Drosophila brain using connectivity-based neuronal classification reveals organization of key communication pathways https://t.co/uHLyAMCO0k
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Network Neuroscience (2023) 7 (1): 254β268. Nonoptimal component placement of the human connectome supports variable brain dynamics https://t.co/TuMI0a0TF1
@ConnectomeLab
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Network Neuroscience (2023) 7 (1): 234β253. π1 persistent features of the resting-state connectome in healthy subjects https://t.co/c8dT8QrZvn
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Network Neuroscience (2023) 7 (1): 213β233. Increased structural connectivity in high schizotypy https://t.co/8Mye9oUmpU
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Network Neuroscience (2023) 7 (1): 184β212. The topology, stability, and instability of learning-induced brain network repertoires in schizophrenia https://t.co/LMBzdVHtJR
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Network Neuroscience (2023) 7 (1): 160β183. Exploring personalized structural connectomics for moderate to severe traumatic brain injury https://t.co/kJeh1tblyx
@PhoebeImms @KCaeyenberghs
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Network Neuroscience (2023) 7 (1): 148β159. Graph theoretical approach to brain remodeling in multiple sclerosis https://t.co/5UoNBjX4UZ
@mohammadhadiara et al
direct.mit.edu
Abstract. Multiple sclerosis (MS) is a neuroinflammatory disorder damaging structural connectivity. Natural remodeling processes of the nervous system can, to some extent, restore the damage caused....
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Network Neuroscience (2023) 7 (1): 122β147. Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach https://t.co/SLJYPRGaU6
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Network Neuroscience (2023) 7 (1): 102β121. Reconfigurations in brain networks upon awakening from slow wave sleep: Interventions and implications in neural communication https://t.co/sacuYjmnvg
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Network Neuroscience (2023) 7 (1): 86β101. Coupling of the spatial distributions between sMRI and PET reveals the progression of Alzheimerβs disease https://t.co/kOSpAUkwlB
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Network Neuroscience (2023) 7 (1): 73β85. Dynamical interactions reconfigure the gradient of cortical timescales https://t.co/36CMh2ESAW
@PierpaSorre @GRabuffo @eNeuroEiC @ViktorJirsa et al
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Network Neuroscience (2023) 7 (1): 48β72 Stability and dynamics of a spectral graph model of brain oscillations https://t.co/eHOYGlrYvU
@parulv1 @srinagarajan @ashishrajs
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Network Neuroscience (2023) 7 (1): 22β47. A transformer model for learning spatiotemporal contextual representation in fMRI data https://t.co/tEWw5RJM50
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Network Neuroscience (2023) 7 (1): 1β21. 3M_BANTOR: A regression framework for multitask and multisession brain network distance metrics https://t.co/inmwLdQIsN
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We are very happy and excited that @ImagingNeurosci will soon join the growing family of OA neuro journals (including @netneurosci and @jneurolang) at @mitpress | Again, best of luck to all involved in this important transition
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