Activating positive memory engrams suppresses depression-like behaviour DOI
Steve Ramirez, Xu Liu,

Christopher J. MacDonald

et al.

Nature, Journal Year: 2015, Volume and Issue: 522(7556), P. 335 - 339

Published: June 1, 2015

Language: Английский

Brain circuit dysfunction in post-traumatic stress disorder: from mouse to man DOI
Robert J. Fenster, Lauren A. M. Lebois, Kerry J. Ressler

et al.

Nature reviews. Neuroscience, Journal Year: 2018, Volume and Issue: 19(9), P. 535 - 551

Published: July 27, 2018

Language: Английский

Citations

389

Dissecting the diversity of midbrain dopamine neurons DOI
Jochen Roeper

Trends in Neurosciences, Journal Year: 2013, Volume and Issue: 36(6), P. 336 - 342

Published: April 17, 2013

Language: Английский

Citations

371

Animal models of major depression: drawbacks and challenges DOI Creative Commons

Barbara Planchez,

Alexandre Surget, Catherine Belzung

et al.

Journal of Neural Transmission, Journal Year: 2019, Volume and Issue: 126(11), P. 1383 - 1408

Published: Oct. 4, 2019

Major depression is a leading contributor to the global burden of disease. This situation mainly related chronicity and/or recurrence disorder, and poor response antidepressant therapy. Progress in this area requires valid animal models. Current models are based either on manipulating environment which rodents exposed (during developmental period or adulthood) biological underpinnings (i.e. gene deletion overexpression candidate genes, targeted lesions brain areas, optogenetic control specific neuronal populations, etc.). These manipulations can alter behavioural outcomes that be different symptomatic pathophysiological dimensions major depression. However, display substantial shortcomings contribute lack innovative pharmacological approaches recent decades hamper our capabilities investigate treatment-resistant Here, we discuss validity these models, review putative depression, subtypes recurrent Furthermore, identify future challenges regarding new paradigms such as those proposing dimensional rather than categorical

Language: Английский

Citations

365

Nanotools for Neuroscience and Brain Activity Mapping DOI
A. Paul Alivisatos, Anne M. Andrews,

Edward S. Boyden

et al.

ACS Nano, Journal Year: 2013, Volume and Issue: 7(3), P. 1850 - 1866

Published: March 20, 2013

Neuroscience is at a crossroads. Great effort being invested into deciphering specific neural interactions and circuits. At the same time, there exist few general theories or principles that explain brain function. We attribute this disparity, in part, to limitations current methodologies. Traditional neurophysiological approaches record activities of one neuron neurons time. Neurochemical focus on single neurotransmitters. Yet, an increasing realization circuits operate emergent levels, where between hundreds thousands neurons, utilizing multiple chemical transmitters, generate functional states. Brains function nanoscale, so tools study brains must ultimately scale, as well. Nanoscience nanotechnology are poised provide rich toolkit novel methods explore by enabling simultaneous measurement manipulation activity even millions neurons. others refer goal Brain Activity Mapping Project. In Nano Focus, we discuss how recent developments nanoscale analysis design synthesis nanomaterials have generated optical, electrical, can readily be adapted for use neuroscience. These represent exciting areas technical development research. Moreover, unique opportunities nanoscientists, nanotechnologists, other physical scientists engineers contribute tackling challenging problems involved understanding fundamentals

Language: Английский

Citations

357

Activating positive memory engrams suppresses depression-like behaviour DOI
Steve Ramirez, Xu Liu,

Christopher J. MacDonald

et al.

Nature, Journal Year: 2015, Volume and Issue: 522(7556), P. 335 - 339

Published: June 1, 2015

Language: Английский

Citations

354