TY - JOUR
T1 - Neuroanatomical basis of individuality in muscle tuning function
T2 - Neural correlates of muscle tuning
AU - Kita, Kahori
AU - Osu, Rieko
AU - Hosoda, Chihiro
AU - Honda, Manabu
AU - Hanakawa, Takashi
AU - Izawa, Jun
N1 - Funding Information:
This study was in supported by the Grants-in-Aid for Young Scientists (A) (15H05357) to KK; JSPS Kakenhi (17H02128) to RO; the Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS, 16dm0207022h003), Health Labor Science Research Grants from Japan Agency for Medical Research and development (AMED), KAKENHI grants (26120008 and 16H03306) from MEXT, and the Intramural Research Grant for Neurological and Psychiatric Disorders of the National Center of Neurology and Psychiatry, Japan (TH); JSPS Kakenhi (16H03200 and 17H06023) to JI.
Publisher Copyright:
© 2019 Kita, Osu, Hosoda, Honda, Hanakawa and Izawa.
PY - 2019/3/6
Y1 - 2019/3/6
N2 - In a conventional view of motor control, the human brain might employ an optimization principle that leads a stereotypical motor behavior which we observe as an averaged behavioral data over subjects. In this scenario, the inter-individual motor variability is considered as an observation noise. Here, we challenged this view. We considered a motor control task where the human participants manipulated arm force by coordinating shoulder and elbow torques and investigated the muscle-tuning function that represents how the brain distributed the ideal joint torques to multiple muscles. In the experimental data, we observed large inter-individual variability in the profile of a muscle-tuning function. This contradicts with a well-established optimization theory that is based on minimization of muscle energy consumption and minimization of motor variability. We then hypothesized the inter-subject differences in the structure of the motor cortical areas might be the source of the across-subjects variability of the motor behavior. This was supported by a voxel-based morphometry analysis of magnetic resonance imaging; The inter-individual variability of the muscle tuning profile was correlated with that of the gray matter volume in the premotor cortex which is ipsilateral to the used arm (i.e., right hemisphere for the right arm). This study suggests that motor individuality may originate from inter-individual variation in the cortical structure.
AB - In a conventional view of motor control, the human brain might employ an optimization principle that leads a stereotypical motor behavior which we observe as an averaged behavioral data over subjects. In this scenario, the inter-individual motor variability is considered as an observation noise. Here, we challenged this view. We considered a motor control task where the human participants manipulated arm force by coordinating shoulder and elbow torques and investigated the muscle-tuning function that represents how the brain distributed the ideal joint torques to multiple muscles. In the experimental data, we observed large inter-individual variability in the profile of a muscle-tuning function. This contradicts with a well-established optimization theory that is based on minimization of muscle energy consumption and minimization of motor variability. We then hypothesized the inter-subject differences in the structure of the motor cortical areas might be the source of the across-subjects variability of the motor behavior. This was supported by a voxel-based morphometry analysis of magnetic resonance imaging; The inter-individual variability of the muscle tuning profile was correlated with that of the gray matter volume in the premotor cortex which is ipsilateral to the used arm (i.e., right hemisphere for the right arm). This study suggests that motor individuality may originate from inter-individual variation in the cortical structure.
KW - Brain structure
KW - Gray matter volume
KW - Motor control
KW - Muscle tuning function
KW - VBM
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U2 - 10.3389/fnbeh.2019.00028
DO - 10.3389/fnbeh.2019.00028
M3 - Article
AN - SCOPUS:85064213924
SN - 1662-5153
VL - 13
JO - Frontiers in Behavioral Neuroscience
JF - Frontiers in Behavioral Neuroscience
M1 - 28
ER -