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The functional characterization of callosal connections

Authors :
Maurice Ptito
Franco Lepore
Francisco Aboitiz
Chantal Milleret
Roberto Caminiti
Alexandra Battaglia-Mayer
Kerstin E. Schmidt
Maria G. Knyazeva
Matteo Caleo
Muhamed Barakovic
Mara Fabri
Giorgio M. Innocenti
Carlo Alberto Marzi
Source :
Innocenti, G M, Schmidt, K, Milleret, C, Fabri, M, Knyazeva, M G, Battaglia-Mayer, A, Aboitiz, F, Ptito, M, Caleo, M, Marzi, C A, Barakovic, M, Lepore, F & Caminiti, R 2022, ' The functional characterization of callosal connections ', Progress in Neurobiology, vol. 208, 102186 . https://doi.org/10.1016/j.pneurobio.2021.102186, Repositório Institucional da UFRN, Universidade Federal do Rio Grande do Norte (UFRN), instacron:UFRN, Progress in Neurobiology
Publication Year :
2022
Publisher :
Elsevier Ldt, 2022.

Abstract

Highlights • The functional characterization of callosal connections is informed by anatomical data. • Callosal connections play a conditional driving role depending on the brain state and behavioral demands. • Callosal connections play a modulatory function, in addition to a driving role. • The corpus callosum participates in learning and interhemispheric transfer of sensorimotor habits. • The corpus callosum contributes to language processing and cognitive functions.<br />The brain operates through the synaptic interaction of distant neurons within flexible, often heterogeneous, distributed systems. Histological studies have detailed the connections between distant neurons, but their functional characterization deserves further exploration. Studies performed on the corpus callosum in animals and humans are unique in that they capitalize on results obtained from several neuroscience disciplines. Such data inspire a new interpretation of the function of callosal connections and delineate a novel road map, thus paving the way toward a general theory of cortico-cortical connectivity. Here we suggest that callosal axons can drive their post-synaptic targets preferentially when coupled to other inputs endowing the cortical network with a high degree of conditionality. This might depend on several factors, such as their pattern of convergence-divergence, the excitatory and inhibitory operation mode, the range of conduction velocities, the variety of homotopic and heterotopic projections and, finally, the state-dependency of their firing. We propose that, in addition to direct stimulation of post-synaptic targets, callosal axons often play a conditional driving or modulatory role, which depends on task contingencies, as documented by several recent studies.

Subjects

Subjects :
callosal conduction velocity
callosal disconnection syndromes
Computer science
VM, vertical meridian of the visual field
receptive-field properties
Callosal axon diameter
Callosal conduction velocity
Callosal connections flexibility
Callosal disconnection syndromes
Callosal interhemispheric transfer
Corpus callosum
Review Article
primary auditory-cortex
corpus callosum
AAF, anterior auditory field
EP, evoked potential
Operation mode
EPSP, excitatory post-synaptic potential
Neural Pathways
posterior corpus-callosum
Direct stimulation
Neurons
CPN, callosal projection neuron
callosal connections flexibility
Synaptic interaction
GI, primary gustatory area
General Neuroscience
SC, split-chiasm
Brain
A1, primary auditory cortex
ICoh, interhemispheric EEG coherence
BOLD, blood oxygen level dependent
General theory
Cortical network
DW-MRI, diffusion-weighted magnetic resonance imaging tractography
Excitatory postsynaptic potential
parietal lobule projections
callosal axon diameter
callosal interhemispheric transfer
body midline representation
RF, receptive field
CC, corpus callosum
Inhibitory postsynaptic potential
EEG, electroencephalogram
V1, (primary visual cortex, area 17)
LFPs, local field potentials
Animals
Humans
interhemispheric eeg coherence
SI, primary somatosensory cortex
primary visual-cortex
EM, electron microscopy
M1, primary motor cortex
TMS, transcranial magnetic stimulation
BDA, biotinylated dextran amine
axon diameter distribution
Axons
DCM, dynamic causal modeling
SCC, split corpus callosum
V2, (secondary visual cortex, area 18)
nervous system
SII, secondary somatosensory cortex
2nd somatosensory cortex
Neuroscience
stimulus-dependent changes

Details

Language :
English
Database :
OpenAIRE
Journal :
Innocenti, G M, Schmidt, K, Milleret, C, Fabri, M, Knyazeva, M G, Battaglia-Mayer, A, Aboitiz, F, Ptito, M, Caleo, M, Marzi, C A, Barakovic, M, Lepore, F & Caminiti, R 2022, ' The functional characterization of callosal connections ', Progress in Neurobiology, vol. 208, 102186 . https://doi.org/10.1016/j.pneurobio.2021.102186, Repositório Institucional da UFRN, Universidade Federal do Rio Grande do Norte (UFRN), instacron:UFRN, Progress in Neurobiology
Accession number :
edsair.doi.dedup.....044dfcb8eb3c7229861f4bf8e4d9f78b
Full Text :
https://doi.org/10.1016/j.pneurobio.2021.102186