Spatio-temporal brain activity related to rotation method during a mental rotation task of three-dimensional objects: An MEG study

NeuroImage ◽  
2007 ◽  
Vol 37 (3) ◽  
pp. 956-965 ◽  
Author(s):  
Hiroaki Kawamichi ◽  
Yoshiaki Kikuchi ◽  
Shoogo Ueno
1993 ◽  
Vol 94 (1) ◽  
Author(s):  
Y. Matsakis ◽  
M. Lipshits ◽  
V. Gurfinkel ◽  
A. Berthoz

1985 ◽  
Vol 39 (1) ◽  
pp. 100-129 ◽  
Author(s):  
Pierre Jolicœur ◽  
Sonya Regehr ◽  
Lyndon B. J. P. Smith ◽  
Garth N. Smith

2011 ◽  
Vol 113 (1) ◽  
pp. 38-50 ◽  
Author(s):  
Michael C. Felix ◽  
Joshua D. Parker ◽  
Charles Lee ◽  
Kara I. Gabriel

Science ◽  
1971 ◽  
Vol 171 (3972) ◽  
pp. 701-703 ◽  
Author(s):  
R. N. Shepard ◽  
J. Metzler

Nuncius ◽  
2017 ◽  
Vol 32 (2) ◽  
pp. 412-439
Author(s):  
Flora Lysen

This article traces attempts in the 1930s to create a spatio-temporal model of the active, living brain. Images and models of electric, illuminated displays – derived from electro-technology and engineering – allowed for a changing imaginary of a brain that was immediately accessible. The example of the Luminous Brain Model, a three-dimensional science education model, demonstrates how the visual language of illumination could serve as a flexible rhetorical tool that offered sensations of liveliness to modern viewers and promised to show a transparent view of a dynamic brain. Alternatively, various scientists in the 1930s used the analogy of the brain as an illuminated electric news ticker to conceptualize temporal patterns of changing brain activity, thus drawing the brain into a new metropolitan sphere of material surfaces with real-time mediation. These two historical imaginaries of blinking brains reveal new trajectories of the ‘metaphorical circuits’ through which technology and cerebral biology are mutually articulated.


2003 ◽  
Vol 15 (8) ◽  
pp. 1244-1259 ◽  
Author(s):  
Claudio de'Sperati

Visual imagery is a basic form of cognition central to activities such as problem solving or creative thinking. Phenomena such as mental rotation, in which mental images undergo spatial transformations, and motion imagery, in which we imagine objects in motion, are very elusive. For example, although several aspects of visual imagery and mental rotation have been reconstructed through mental chronometry, their instantaneous evolution has never been directly observed. We paired mental chronometry to eye movement recording in subjects performing a visuospatial mental rotation task and an instructed circular motion imagery task. In both tasks, sequences of spontaneous saccades formed curved trajectories with a regular spatio-temporal evolution. In the visuospatial mental rotation task, saccadic amplitude decreased progressively within each sequence, resulting in an average gaze rotation with a bell-shaped asymmetrical angular velocity profile whose peak and mean increased with the amount of the to-be-performed rotation, as in reaching movements. In the second task, the average gaze rotation reproduced faithfully the to-be-imagined constant-velocity circular motion, thus excluding important distortions in the oculomotor performance. These findings show for the first time the instantaneous spatio-temporal evolution of mental rotation and motion imagery. Moreover, the fact that visuospatial mental rotation is modeled as a reaching act suggests that reaching pertains to the realm of visuospatial thinking, rather than being restricted to the motor domain. This approach based on eye movement recording can be profitably coupled to methods such as event-related potentials, transcranial magnetic stimulation, or functional magnetic resonance to study the precise neuronal dynamics associated with an ongoing mental activity.


2012 ◽  
Vol 7 (6) ◽  
pp. 1005-1012 ◽  
Author(s):  
Jaroslava Durdiaková ◽  
Július Hodosy ◽  
Aneta Kubranská ◽  
Daniela Ostatníková ◽  
Peter Celec

AbstractTestosterone level has an influence on cognitive functions, especially spatial abilities. The relationship is, however, bidirectional and brain activity also affects testosterone levels. The aim of this study was to analyze the effects of an intensive 3D mental rotation task on testosterone levels in young healthy men and women. In the mental rotation task, men reached a higher top score (P=0.027) and total score (P=0.004) compared to women. In 8 out of 9 women (P=0.008) but not in men (P=0.129) testosterone levels decreased after one hour of mental rotation testing. A significant gender difference was shown (P<0.0001). In all women, plasma cortisol levels was significantly lower after testing (P=0.004). In men cortisol levels decreased in 7 out of 9 subjects (P=0.039). A significant gender difference was not found (P=0.19). No association was found in women between baseline testosterone levels and mental rotation total score (P=0.810). In men there was a positive correlation between baseline testosterone and mental rotation total score (P=0.015). A significant difference gender difference was seen in the association between testosterone and mental rotation score (P<0.05). Mental rotation stimuli caused significant changes in hormonal levels of testosterone and cortisol. A gender-specific response was detected in testosterone fluctuation.


2020 ◽  
Author(s):  
Kang Huang ◽  
Yaning Han ◽  
Ke Chen ◽  
Hongli Pan ◽  
Wenling Yi ◽  
...  

AbstractObjective quantification of animal behavior is crucial to understanding the relationship between brain activity and behavior. For rodents, this has remained a challenge due to the high-dimensionality and large temporal variability of their behavioral features. Inspired by the natural structure of animal behavior, the present study uses a parallel, and multi-stage approach to decompose motion features and generate an objective metric for mapping rodent behavior into the animal feature space. Incorporating a three-dimensional (3D) motion-capture system and unsupervised clustering into this approach, we developed a novel framework that can automatically identify animal behavioral phenotypes from experimental monitoring. We demonstrate the efficacy of our framework by generating an “autistic-like behavior space” that can robustly characterize a transgenic mouse disease model based on motor activity without human supervision. The results suggest that our framework features a broad range of applications, including animal disease model phenotyping and the modeling of relationships between neural circuits and behavior.


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