2017/01/20

Nature Reviews Neuroscience contents February 2017 Volume 18 Number 2 pp 67 - 158

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Nature Reviews Neuroscience


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TABLE OF CONTENTS
 
February 2017 Volume 18 Number 2Advertisement
Nature Reviews Neuroscience cover
2015 2-year Impact Factor 29.298 Journal Metrics 2-year Median 22
In this issue
Research Highlights
Reviews
Analysis
Correspondence

Also this month
 Featured article:
Scanning the horizon: towards transparent and reproducible neuroimaging research
Russell A. Poldrack, Chris I. Baker, Joke Durnez, Krzysztof J. Gorgolewski, Paul M. Matthews, Marcus R. Munafò, Thomas E. Nichols, Jean-Baptiste Poline, Edward Vul & Tal Yarkoni

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RESEARCH HIGHLIGHTS
Top

Neurodevelopmental disorders: Converging on autism spectrum disorder
p67 | doi:10.1038/nrn.2016.184
A characterization of transcriptomic changes in autism spectrum disorder points to shared cortical alterations that result in profound changes in neuronal gene transcription, long non-coding RNA transcription, cortical patterning and glial function.

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Neurodevelopmental disorders: A painful role for SHANK3
p68 | doi:10.1038/nrn.2016.179
Shank3 deficiency disrupts TRPV1 signalling, pain processing and the induction of heat hyperalgesia in mice.

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Learning and memory: Working out working memory
p68 | doi:10.1038/nrn.2016.181
Unattended information can lie latent in working memory and then be reactivated by transcranial magnetic stimulation.

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Sensory systems: Smelling trouble
p69 | doi:10.1038/nrn.2016.180
It is not known how mammals sense potentially life-threatening reductions in oxygen in the ambient air, but a novel mechanism has been found in mice that involves a novel subpopulation of olfactory sensory neurons that express the soluble guanylate cyclase GUCY1β2.

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Neural development: Relaying control of neuronal identity
p70 | doi:10.1038/nrn.2016.185
The stage-specific regulation of sets of enhancers by the 'programming' transcription factor islet 1 regulates the transcription of effector genes during motor neuron differentiation.

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IN BRIEF

Psychiatric disorders: Parsing depression | Sensory systems: Age-related odour detection | Learning and memory: Shared memories | Techniques: Getting down to detail
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Nature Reviews Neuroscience
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REVIEWS
Top
Ventral tegmental area: cellular heterogeneity, connectivity and behaviour
Marisela Morales & Elyssa B. Margolis
p73 | doi:10.1038/nrn.2016.165
Neurons in the ventral tegmental area (VTA) are highly heterogeneous and project to a range of different brain regions. Morales and Margolis summarize recent efforts to characterise VTA neurons, dissect their circuitry and understand their roles in motivation- and reward-related behaviours.
Abstract | Full Text | PDF

Closed-loop brain training: the science of neurofeedback
Ranganatha Sitaram et al.
p86 | doi:10.1038/nrn.2016.164
In neurofeedback, an individual receives online feedback of their neural activity to facilitate self-regulation of a brain region and, as a result, a particular behaviour or pathology. In this Review, the authors examine how this technique has been used and its underlying mechanisms.
Abstract | Full Text | PDF

Selective neuronal vulnerability in Parkinson disease
D. James Surmeier, José A. Obeso & Glenda M. Halliday
p101 | doi:10.1038/nrn.2016.178
Lewy pathology (LP) and neuronal death in clinical Parkinson disease (cPD) have been attributed to the simple spread of misfolded α-synuclein. Surmeier et al. show that the pattern of pathology in cPD is not consistent with this simple model, suggesting that cell-autonomous factors also contribute to pathogenesis.
Abstract | Full Text | PDF

Erratum: Structural plasticity and reorganisation in chronic pain
Rohini Kuner & Herta Flor
p113 | doi:10.1038/nrn.2017.5
Full Text | PDF
 
CORRESPONDENCE
Top
CRF and the nucleus incertus: a node for integration of stress signals
Leigh C. Walker & Andrew J. Lawrence
p158 | doi:10.1038/nrn.2016.158
Full Text | PDF
 
ANALYSIS
Top
Scanning the horizon: towards transparent and reproducible neuroimaging research
Russell A. Poldrack et al.
p115 | doi:10.1038/nrn.2016.167
Neuroimaging techniques are increasingly applied by the wider neuroscience community. However, problems such as low statistical power, flexibility in data analysis and software issues pose challenges to interpreting neuroimaging data in a meaningful and reliable way. Here, Poldrack et al. discuss these and other problems, and suggest solutions.

Abstract | Full Text | PDF | Supplementary information
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