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Changing the speed, size and material properties of optic flow can significantly alter the experience of vection (i.e. visually induced illusions of self-motion). Until now, there has not been a systematic investigation of the effects of luminance contrast, averaged luminance and stimulus spatial frequency on vection. This study examined the vection induced by horizontally oriented gratings that continuously drifted downwards at either 20° or 60°/s. Each of the visual motion stimuli tested had one of: (a) six different levels of luminance contrast; (b) four different levels of averaged luminance; and (c) four different spatial frequencies. Our experiments showed that vection could be significantly altered by manipulating each of these visual properties. Vection strength increased with the grating's luminance contrast (in Experiment 1), its averaged luminance (in Experiment 2), and its spatial frequency (in Experiment 3). Importantly, interactions between these three factors were also found for the vection induced in Experiment 4. While simulations showed that these vection results could have been caused by effects on stimulus motion energy, differences in perceived grating visibility, brightness or speed may have also contributed to our findings., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study examined the contributions of low-, mid- and high-level visual motion information to vection. We compared the vection experiences induced by hand-drawn and computer-generated animation clips to those induced by versions of these movies that contained only their pure optic flow. While the original movies were found to induce longer and stronger vection experiences than the pure optic flow, vection onsets were not significantly altered by removing the mid- and high-level information. We conclude that low-level visual motion information appears to be important for vection induction, whereas mid- and higher-level display information appears to be important for sustaining and strengthening this vection after its initial induction.

Realistic appearance and complexity in the visual field are known to affect the strength of vection (visually induced self-motion perception). Although surface properties of materials are, therefore, expected to be visual features that influence vection, to date, the results have been mixed. Here, we used computer graphics to simulate self-motion through rendered 3D tunnels constructed from nine different materials (bark, ceramic, fabric, fur, glass, leather, metal, stone, and wood). There are three ways in which the new stimuli are changed from those found in previous studies: (1) as they move, their appearances interactively change with the 3D structures of the simulated world, as do all the lighting effects and 3D geometric appearances, (2) they are colored, (3) and their components covered a large portion of the visual field. The entire inner surface of each tunnel was composed from one of the nine materials, and optic flow was evoked when an observer virtually moved through the tunnel. Bark, fabric, leather, stone, and wood effectively induced strong vection, whereas, ceramic, glass, fur, and metal did not. Regression analyses suggested that low-level image features such as the lighting and amplitude of spatial frequency were the main factors that modulated vection strength. Additionally, subjective impressions of the nine surface materials showed that the perceived depth, smoothness, and rigidity were related to the perceived vection strength. Overall, our results indicate that surface properties of materials do indeed modulate vection strength.

The present study investigated whether vection could be modified by an object grasping movement. Twenty-five university students were asked to do one of the following four types of left-hand movements while they were viewing a radial optic flow: (1) grasping the hand-gripper strongly; (2) holding the hand-gripper; (3) clenching fist strongly; and (4) open hand without having anything in their left hands (normal hand condition). The participants' tasks were to keep pressing a button with their right hands while they were perceiving vection. After each trial, they estimated the subjective strength of vection on a 101-point scale. The result showed that the vection was inhibited by strongly grasping the hand-gripper task more than by the other hand movements. Vection could be weakened by the object grasping movement. It might be suggested that vection could be inhibited by the presence of an object being grasped and also by the grasping movement itself. We speculated that the mechanism underlying this inhibition might be related to cognitive pressure, attentional load, power and muscle tonus, and multisensory and proprioception interactions.

We examined the effect of the smoothness of motion on vection strength. The smoothness of stimulus motion was modulated by varying the number of frames comprising the movement. In this study, a horizontal grating translated through 360° of phase in 1 s divided into steps of 3, 4, 6, 12, 20, 30, or 60 frames. We hypothesized that smoother motion should induce stronger vection because the smoother stimulus is more natural and contains more motion energy. We examined this effect of frame number on vection for both downward (Experiment 1) and expanding (Experiment 2) optical flow. The results clearly showed that vection strength increased with increasing frame rate, however, the rates of increase in the vection strength with frame rate are not constant, but rapidly increase in the low frame-rate range and appear to asymptote in the high range. The strength estimates saturated at lower frame rates for expanding flow than for downward flow. This might be related to the fact that to process expanding flow it is necessary to integrate motion signals across the visual field. We conclude that the smoothness of the motion stimulus highly affects vection induction.

This experiment investigated the effect of walking without optic flow on subsequent vection induction and strength. Two groups of participants walked for 5 min (either wearing Ganzfeld goggles or with normal vision) prior to exposure to a vection-inducing stimulus. We then measured the onset latency and strength of vection induced by a radially expanding pattern of optic flow. The results showed that walking without optic flow transiently yielded later vection onsets and reduced vection strength. We propose that walking without optic flow triggered a sensory readjustment, which reduced the ability of optic flow to induce self-motion perception.

This study asked whether individual differences in the influence of vision on postural stability could be used to predict the strength of subsequently induced visual illusions of self-motion (vection). In the experiment, we first measured spontaneous postural sway while subjects stood erect for 60 s with their eyes both open and both closed. We then showed our subjects two types of self-motion display: radially expanding optic flow (simulating constant velocity forwards self-motion) and vertically oscillating radially expanding optic flow (simulating constant velocity forwards self-motion combined with vertical head oscillation). As expected, subjects swayed more with their eyes closed (compared to open) and experienced more compelling illusions of self-motion with vertically oscillating (as opposed to smooth) radial flow. The extent to which participants relied on vision for postural stability-measured as the ratio of sway with eyes closed compared to that with eyes open-was found to predict vection strength. However, this was only the case for displays representing smooth self-motion. It seems that for oscillating displays, other factors, such as visual-vestibular interactions, may be more important.

The present study utilized two separate experiments to demonstrate that illusory self-motion (vection) can be induced/modulated by cognition. In the first experiment, two curved lines, which simulated road edges seen while driving at night, were employed. Although the lines induced adequate strength of forward vection, when one of the lines was horizontally reversed, vection was significantly reduced. In the second experiment, two static converging lines with moving characters, which simulated side edges of a straight road with a traffic sign, were utilized. The road sign moved only during the first 5 s. After the sign disappeared, only static lines or a blank screen were able to induce vection. These results suggested that vection was largely affected by cognitive factors and that vection could be induced by implicit motion stimuli.

We examined the biases in vection strength caused by motion direction (temporonasal vs. nasotemporal motion) and position of stimulus presentation (nasal and temporal semi-retinas) to investigate a subcortical contribution to vection. These biases have been identified for optokinetic nystagmus (OKN) and are acknowledged as evidence for a subcortical origin of OKN. In experiments, subjects monocularly observed hemi-field motion stimuli and made magnitude estimations. The results indicated significant directional and positional biases when luminance modulated gratings were used as stimuli. Vection was stronger with nasotemporal motions and nasal retina presentations, but there were no interactions between the two factors. However, these biases disappeared for second-order motion stimuli (contrast modulation), which are presumably processed by the cortex. In addition, when subjects were asked to make subjective ratings of motion impression, there was no significant difference in subjective strength between the stimuli that induced the strongest vection and weakest vection. These results, together, suggest the involvement of the subcortical pathway in vection induction.

A randomized study was performed in 35 centers in the Kinki area of Japan to determine the effectiveness of ftrorafur (FT) plus tamoxifen (TAM) compared with FT monotherapy in postoperative adjuvant therapy for breast cancer. Patients were randomized by the envelope method to receive either FT 600 mg/day or FT 600 mg/day plus TAM 20 mg/day orally for 1 year, starting on day 7 after mastectomy. Between April 1982 and January 1985, 628 patients were assigned to treatment with FT alone and 626 to treatment with FT + TAM. Of these, 571 (90.9%) and 539 (86.1%) patients, respectively, met the eligibility requirements for this study. There were no significant differences in major background factors between the two groups of eligible patients. Five-year survival rates were 91.4% for FT alone and 91.1% for FT+TAM (not significantly different). Five-year disease-free survival rates showed a tendency towards a better prognosis (P = 0.090) in the FT + TAM group, with observed rates of 83.0% for FT alone and 86.7% for FT + TAM. Stratified analysis showed that disease-free survival with FT + TAM is better than with FT alone for patients aged 50 years or more ( P = 0.048) and for patients with from one to three positive nodes (P = 0.064).

The human thymidylate synthase (TS) gene was regionally assigned to chromosome band 18p11.32 by nonisotopic in situ hybridization using biotinylated cDNA (1.1 kb insert) and genomic DNA (6.8 kb insert) probes of the human gene. There have been two provisional assignments for the TS gene to 18pter-q12 and 18q21-qter. The present result confirmed the first of these and further localized the TS gene to the telomeric region of the short arm of chromosome 18. The TS gene appears to be a novel telomeric anchor point for the construction of both physical and genetic linkage maps of human chromosome 18.

Subgroups of type A blood, named A1, A2, and A1-A2 intermediate (Aint), are specifically characterized by their peculiar A alleles and have their own A1-, A2- or Aint-forms of alpha-N-acetyl-D-galactosaminyltransferase (A-transferase). It is known, however, that certain type A2B persons exhibit A1-transferase. The reason may be an unusual alpha-galactosyltransferase (B-transferase). This strong B-transferase competes with A-transferase for the substrate, H antigen, so as to decrease the A and H antigens on the red cells. We studied this blood group over three generations and found that the strong B-transferase is, in fact, inherited with the B gene and is dominant over normal B-transferase. In AB blood groups in Tokyo, the frequency of people with a strong B-transferase is 5% for A1B and 22% for A2B. This enzyme does not always cause weak H or A antigens.