Sensory Factors Influence Dynamic and Static Bi-Manual Finger Grip Strength in a Real-World Task Context DOI Creative Commons
Birgitta Dresp, Rongrong Liu, Michel de Mathelin

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(9), С. 3548 - 3548

Опубликована: Апрель 23, 2024

Individual grip strength provides a functional window into somatosensory processes and their effects on motor behaviour in healthy, impaired, ageing individuals. Variations during hand–tool interaction are therefore exploited variety of experimental tasks to study the pathology or ageing-related changes sensory, motor, cognitive ability. However, many different factors may influence individual systematically given task context without being explicitly identified controlled for. Grip vary as function location measurement device (sensor) fingers/hand, shape, weight size object(s) gripped, type investigated (static versus dynamic grip), hand (dominant non-dominant) used for gripping. This tests additional such sight, sound, interactions with/between any other complex context. A wearable biosensor system, designed measuring variations operators gripping cylindrical objects bi-manually, was used. force signals were recorded from all sensors (glove) including three directly task-relevant bi-manually with dominant non-dominant hands. Five young male participants tested movement, sight strength. The had pick up two identical weight, then hold them still grip) move upwards downwards (dynamic ten seconds while listening soft hard music, eyes open blindfolded. Significant sensor location, hand, sound bi-manual found. Stronger produced by when moving handles comparison static condition, depending, expected, whether measured hand. Significantly weaker blindfolded (sight condition), grips significantly stronger exposure harder music (sound factor). It is concluded that influenced sensory between for, pointing towards need identifying controlling potential sources variation contexts.

Язык: Английский

Grip force as a functional window to somatosensory cognition DOI Creative Commons
Birgitta Dresp

Frontiers in Psychology, Год журнала: 2022, Номер 13

Опубликована: Окт. 14, 2022

Analysis of grip force signals tailored to hand and finger movement evolution changes in control during task execution provide unprecedented functional insight into somatosensory cognition. Somatosensory cognition is the basis our ability act upon transform physical world around us, recognize objects on touch alone, grasp them with right amount for lifting manipulating them. Recent technology has permitted wireless monitoring recorded from biosensors palm human track trace forces deployed cognitive tasks executed under conditions variable sensory (visual, auditory) input. Non-invasive multi-finger sensor can be exploited explore interactions between brain mechanisms motor control, particular learning a where planning strategic movements essential. Sensorial processes underlying manual skills and/or hand-specific (dominant versus non-dominant hand) behaviors studied variety contexts by probing selected measurement loci fingers hand. Thousands data multiple spatial locations approached statistically breathe sense measured specific constraints. Grip patterns individual performance profiling may reveal as direct result learning. functionally mapped from-global-to-local coding principles networks governing leading expertise or skill. Under light comprehensive overview recent discoveries significance variations, perspectives future studies cognition, relevant complex real-world precision task, are pointed out.

Язык: Английский

Процитировано

6

Deficits in rate of force production during multifinger tasks are associated with cognitive status DOI Creative Commons
Richard G. Carson,

Eimíle Holton

International Journal of Geriatric Psychiatry, Год журнала: 2022, Номер 37(6)

Опубликована: Май 5, 2022

The multifinger force deficit (MFFD) is the decline in generated by an individual finger as number of fingers contributing to action increased. It has been proposed that a measure neural sufficiency rather than muscle status, it provides means detecting individuals at risk cognitive decline. Age-related deficits central drive exert disproportionate impact on rate which can be generated. We examined whether MFFD derived from maximum generated, more sensitive differences one calculated using level force.

Язык: Английский

Процитировано

4

Deficits in force production during multifinger tasks demarcate cognitive dysfunction DOI Creative Commons
Richard G. Carson,

Debora Berdondini,

Maebh Crosbie

и другие.

Aging Clinical and Experimental Research, Год журнала: 2024, Номер 36(1)

Опубликована: Апрель 5, 2024

Abstract Background The multifinger force deficit (MFFD) is the decline in generated by each finger as number of fingers contributing to an action increased. It has been shown associate with cognitive status. Aims aim was establish whether a particularly challenging form grip dynamometry, that provides minimal tactile feedback via cutaneous receptors and requires active compensation for reaction forces, will yield MFFD more sensitive Methods Associations between measures motor function, status (Montreal Cognitive Assessment [MoCA]) latent components function (derived from 11 tests using principal component analysis), were estimated cross-sectionally generalized partial rank correlations. participants ( n = 62) community dwelling, aged 65–87. Results Approximately half unable complete dynamometry task successfully. demarcated individuals who could perform those not. Among complied requirements, negatively correlated MoCA scores—those highest scores tended exhibit smallest deficits, vice versa. There corresponding associations function. Discussion results support view neurodegenerative processes are feature normal pathological aging exert effects on expressions coordination—in tasks, sufficiency, due their dependence shared neural systems. Conclusions outcomes add weight assertion deficits production during tasks dysfunction.

Язык: Английский

Процитировано

0

Sensory Factors Influence Dynamic and Static Bi-Manual Finger Grip Strength in a Real-World Task Context DOI Creative Commons
Birgitta Dresp, Rongrong Liu, Michel de Mathelin

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(9), С. 3548 - 3548

Опубликована: Апрель 23, 2024

Individual grip strength provides a functional window into somatosensory processes and their effects on motor behaviour in healthy, impaired, ageing individuals. Variations during hand–tool interaction are therefore exploited variety of experimental tasks to study the pathology or ageing-related changes sensory, motor, cognitive ability. However, many different factors may influence individual systematically given task context without being explicitly identified controlled for. Grip vary as function location measurement device (sensor) fingers/hand, shape, weight size object(s) gripped, type investigated (static versus dynamic grip), hand (dominant non-dominant) used for gripping. This tests additional such sight, sound, interactions with/between any other complex context. A wearable biosensor system, designed measuring variations operators gripping cylindrical objects bi-manually, was used. force signals were recorded from all sensors (glove) including three directly task-relevant bi-manually with dominant non-dominant hands. Five young male participants tested movement, sight strength. The had pick up two identical weight, then hold them still grip) move upwards downwards (dynamic ten seconds while listening soft hard music, eyes open blindfolded. Significant sensor location, hand, sound bi-manual found. Stronger produced by when moving handles comparison static condition, depending, expected, whether measured hand. Significantly weaker blindfolded (sight condition), grips significantly stronger exposure harder music (sound factor). It is concluded that influenced sensory between for, pointing towards need identifying controlling potential sources variation contexts.

Язык: Английский

Процитировано

0