RT info:eu-repo/semantics/article
T1 The Multiple Correspondence Analysis Method and Brain Functional Connectivity: Its Application to the Study of the Non-linear Relationships of Motor Cortex and Basal Ganglia.
A1 Morales Pérez, Ingrid
A1 Rodríguez Sabaté, Clara
A1 Sánchez, Alberto
A1 Rodríguez, Manuel
A2 Ciencias Médicas Básicas
A2 Grupo de Neurobiología y Neurología Experimental
K1 multiple correspondence analysis
K1 functional connectivity
K1 basal ganglia
K1 cerebral cortex
K1 resting state
AB The complexity of basal ganglia (BG) interactions is often condensed into simple models mainly based on animal data and that present BG in closed-loop cortico-subcortical circuits of excitatory/inhibitory pathways which analyze the incoming cortical data and return the processed information to the cortex. This study was aimed at identifying functional relationships in the BG motor-loop of 24 healthy-subjects who provided written, informed consent and whose BOLD-activity was recorded by MRI methods. The analysis of the functional interaction between these centers by correlation techniques and multiple linear regression showed non-linear relationships which cannot be suitably addressed with these methods. The multiple correspondence analysis (MCA), an unsupervised multivariable procedure which can identify non-linear interactions, was used to study the functional connectivity of BG when subjects were at rest. Linear methods showed different functional interactions expected according to current BG models. MCA showed additional functional interactions which were not evident when using lineal methods. Seven functional configurations of BG were identified with MCA, twoinvolving the primary motorandsomatosensorycortex,oneinvolvingthedeepestBG (external-internal globus pallidum, subthalamic nucleus and substantia nigral), one with the input-output BG centers (putamen and motor thalamus), two linking the input-output centers with other BG (external pallidum and subthalamic nucleus), and one linking the external pallidum and the substantia nigral. The results provide evidence that the non-linear MCA and linear methods are complementary and should be best used in conjunction to more fully understand the nature of functional connectivity of brain centers.
YR 2017
FD 2017
LK http://riull.ull.es/xmlui/handle/915/38579
UL http://riull.ull.es/xmlui/handle/915/38579
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 22-nov-2024