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Published on: August 1, 2018
Crossed Corticostriatal Projections in the Macaque Brain
Elena Borra1, Dalila Biancheri2, Marianna Rizzo2
1Dipartimento di Medicina e Chirurgia, Unità di Neuroscienze, Università di Parma, 43100 Parma, Italy, elena.borra@unipr.it.
Crossed corticostriatal projections in macaques are more significant than previously thought, originating mainly from frontal and cingulate areas. These pathways are crucial for motor control, learning, and recovery after stroke.
Area of Science:
- Neuroscience
- Primate Brain Anatomy
- Cortico-striatal Pathways
Background:
- The striatum receives major input from ipsilateral cortex and thalamus in nonhuman primates.
- Crossed corticostriatal (CSt) projections from the contralateral hemisphere to the striatum have been understudied.
- Understanding these pathways is vital for comprehending brain function and recovery mechanisms.
Purpose of the Study:
- To qualitatively and quantitatively analyze the distribution and origin of crossed CSt projections in the macaque brain.
- To compare crossed CSt projections with ipsilateral projections to the striatum.
- To elucidate the functional significance of these bilateral connections.
Main Methods:
- Neural tracer injections into different striatal regions of macaques (both sexes).
- Qualitative and quantitative analysis of labeled CSt cells in both hemispheres.
- Comparison of the origin and density of crossed versus ipsilateral projections.
Main Results:
- Crossed CSt projections to the caudate and putamen can be substantial, accounting for up to 30% of total labeled cells.
- Crossed projections predominantly originate from motor, prefrontal, and cingulate areas, unlike ipsilateral projections.
- In some cases, contralateral input was comparable in strength to ipsilateral input.
Conclusions:
- This study provides the first detailed anatomical description of crossed CSt pathways in the macaque.
- These projections facilitate bilateral distribution of motor, motivational, and cognitive signals.
- They are potentially important for reinforcement learning, action selection, and motor compensation post-stroke.
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