Focus |

Focus on human brain mapping

For several decades, the neuroscience community has endeavored to understand how the brain controls our perception of the world and how we interact with it. The molecular, cellular and circuit-level mechanisms that underlie these processes have been investigated primarily in animal models. Noninvasive methods such as magnetic resonance imaging (MRI), electroencephalography (EEG) and magnetoencephalography (MEG) have allowed neuroscientists to complement these findings with measures of human brain responses to complex stimuli and behaviors. Nature Neuroscience presents 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.

Content

  • Nature Neuroscience | Editorial

    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.

  • Nature Neuroscience | Editorial

    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.

  • Nature Neuroscience | Commentary

    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.

    • Thomas E Nichols
    • , Samir Das
    • , Simon B Eickhoff
    • , Alan C Evans
    • , Tristan Glatard
    • , Michael Hanke
    • , Nikolaus Kriegeskorte
    • , Michael P Milham
    • , Russell A Poldrack
    • , Jean-Baptiste Poline
    • , Erika Proal
    • , Bertrand Thirion
    • , David C Van Essen
    • , Tonya White
    •  &  B T Thomas Yeo
  • Nature Neuroscience | Perspective

    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.

    • Jonathan D Cohen
    • , Nathaniel Daw
    • , Barbara Engelhardt
    • , Uri Hasson
    • , Kai Li
    • , Yael Niv
    • , Kenneth A Norman
    • , Jonathan Pillow
    • , Peter J Ramadge
    • , Nicholas B Turk-Browne
    •  &  Theodore L Willke
  • Nature Neuroscience | Review Article

    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

    • Jason P Lerch
    • , André J W van der Kouwe
    • , Armin Raznahan
    • , Tomáš Paus
    • , Heidi Johansen-Berg
    • , Karla L Miller
    • , Stephen M Smith
    • , Bruce Fischl
    •  &  Stamatios N Sotiropoulos
  • Nature Neuroscience | Review Article

    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 technique.

    • Sylvain Baillet