Quarterly (Winter, Spring, Summer, Fall)
330 pp. per issue
8 1/2 x 11
E-ISSN
2472-1751

Network Neuroscience

Olaf Sporns, Editor
Overview

Network Neuroscience features innovative scientific work that significantly advances our understanding of network organization and function in the brain across all scales, from molecules and neurons to circuits and systems.

The journal covers the broad array of content areas within cognitive science using approaches from cognitive psychology, computer science and mathematical psychology, cognitive neuroscience and neuropsychology, comparative psychology and behavioral anthropology, decision sciences, and theoretical and experimental linguistics. These approaches are applicable to a broad range of content areas, including learning and memory, attention and object recognition, language processing and development, causal reasoning, judgment and decision-making, philosophy of mind, and more.

Table of Contents

Vol. 3, Issue 2 - 2019

Articles

Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches
pp. 237-273
Abstract | PDF (1.09 MB)
Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods
pp. 274-306
Abstract | PDF (870.43 KB)
A mixed-modeling framework for analyzing multitask whole-brain network data
pp. 307-324
Abstract | PDF (733.53 KB)
Connectome sorting by consensus clustering increases separability in group neuroimaging studies
pp. 325-343
Abstract | PDF (5.35 MB)
Functional connectivity-based subtypes of individuals with and without autism spectrum disorder
pp. 344-362
Abstract | PDF (2.16 MB)
High-accuracy individual identification using a “thin slice” of the functional connectome
pp. 363-383
Abstract | PDF (2.41 MB)
Computation is concentrated in rich clubs of local cortical networks
pp. 384-404
Abstract | PDF (1.64 MB)
Dynamic properties of simulated brain network models and empirical resting-state data
pp. 405-426
Abstract | PDF (2.69 MB)
Evaluation of confound regression strategies for the mitigation of micromovement artifact in studies of dynamic resting-state functional connectivity and multilayer network modularity
pp. 427-454
Abstract | PDF (4.75 MB)
Centralized and distributed cognitive task processing in the human connectome
pp. 455-474
Abstract | PDF (8.4 MB)
Distance-dependent consensus thresholds for generating group-representative structural brain networks
pp. 475-496
Abstract | PDF (2.35 MB)
Spatial and spectral trajectories in typical neurodevelopment from childhood to middle age
pp. 497-520
Abstract | PDF (2.67 MB)
Changes in structural network topology correlate with severity of hallucinatory behavior in Parkinson’s disease
pp. 521-538
Abstract | PDF (2.59 MB)
Psychological resilience correlates with EEG source-space brain network flexibility
pp. 539-550
Abstract | PDF (1.64 MB)
Optimal modularity and memory capacity of neural reservoirs
pp. 551-566
Abstract | PDF (867.82 KB)
ADHD symptoms are associated with the modular structure of intrinsic brain networks in a representative sample of healthy adults
pp. 567-588
Abstract | PDF (1.65 MB)
Topological reinforcement as a principle of modularity emergence in brain networks
pp. 589-605
Abstract | PDF (2.7 MB)
Principles underlying the input-dependent formation and organization of memories
pp. 606-634
Abstract | PDF (2.66 MB)
Disrupted core-periphery structure of multimodal brain networks in Alzheimer’s disease
pp. 635-652
Abstract | PDF (1.15 MB)