Resting state networks distinguish human ventral tegmental area from substantia nigra

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Resting state networks distinguish human ventral tegmental area from substantia nigra

Dopaminergic networks modulate neural processing across a spectrum of function from perception to learning to action. Multiple organizational schemes based on anatomy and function have been proposed for dopaminergic nuclei in the midbrain. One schema originating in rodent models delineated ventral tegmental area (VTA), implicated in complex behaviors like addiction, from more lateral substantia...

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Differences in neural connectivity between the substantia nigra and ventral tegmental area in the human brain

OBJECTIVES Many animal and a few human studies have reported on the neural connectivity of the substantia nigra (SN) and the ventral tegmental area (VTA). However, it has not been clearly elucidated so far. We attempted to investigate any differences in neural connectivity of the SN/VTA in the human brain, using diffusion tensor imaging (DTI). METHODS Sixty-three healthy subjects were recruit...

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Differential modulation by nicotine of substantia nigra versus ventral tegmental area dopamine neurons.

Midbrain dopamine (DA) neurons are found in two nuclei, the substantia nigra pars compacta (SNc) and ventral tegmental area (VTA). The SNc dopaminergic projections to the dorsal striatum are involved in voluntary movement and habit learning, whereas the VTA projections to the ventral striatum contribute to reward and motivation. Nicotine induces profound DA release from VTA dopamine neurons but...

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The neurotransmitter dopamine plays important roles in motor control, learning, and motivation in mammals and probably other animals as well. The strong dopaminergic projection to striatal regions and more moderate dopaminergic projections to other regions of the telencephalon predominantly arise from midbrain dopaminergic neurons in the substantia nigra pars compacta (SNc) and ventral tegmenta...

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ژورنال

عنوان ژورنال: NeuroImage

سال: 2014

ISSN: 1053-8119

DOI: 10.1016/j.neuroimage.2014.06.047