We present a special issue highlighting considerations and recent developments in noninvasive techniques that improve our understanding of neural measurements in humans, bridging the gap between human and animal research in neuroscience.
The validity of conclusions drawn from functional MRI research has been questioned for some time now. Nature Neuroscience and Nature Communications are committed to working with neuroimaging researchers to improve the robustness and reproducibility of their work.
Responding to widespread concerns about reproducibility, the Organization for Human Brain Mapping created a working group to identify best practices in data analysis, results reporting and data sharing to promote open and reproducible research in neuroimaging. We describe the challenges of open research and the barriers the field faces.
A revolution is underway in cognitive neuroscience, where tools and techniques from computer science and the tech industry are helping to extract more meaningful cognitive signals from noisy and increasingly large fMRI datasets. In this paper, the authors review the cutting edge of such computational analyses and discuss future opportunities and challenges.
The study of neuroanatomy using MRI enables key insights into how our brains function, are shaped by genes and environment, and how they change with development, aging and disease. The authors provide an overview of the methods for measuring the brain and also describe key artifacts and confounds
Magnetoencephalography (MEG) tracks the millisecond electrical activity of the brain noninvasively. This review emphasizes MEG's unique assets, especially in terms of imaging and resolving the mechanisms underlying the apparent complexity of polyrhythmic brain dynamics. It also identifies practical challenges and clarifies misconceptions about the techn […]
Cognitive activity requires the collective behavior of cortical, thalamic and spinal neurons across large-scale systems of the CNS. This paper provides an illustrated introduction to dynamic models of large-scale brain activity, from the tenets of the underlying theory to challenges, controversies and recent breakthroughs.
Network neuroscience tackles the challenge of discovering the principles underlying complex brain function and cognition from an explicitly integrative perspective. Here, the authors discuss emerging trends in network neuroscience, charting a path towards a better understanding of the brain that bridges computation, theory and experiment across spatial scale […]