Temporoparietal encoding of space and time during vestibular-guided orientation

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Abstract

When we walk in our environment, we readily determine our travelled distance and location using visual cues. In the dark, estimating travelled distance uses a combination of somatosensory and vestibular (i.e. inertial) cues. The observed inability of patients with complete peripheral vestibular failure to update their angular travelled distance during active or passive turns in the dark implies a privileged role for vestibular cues during human angular orientation. As vestibular signals only provide inertial cues of self-motion (e.g. velocity, °/s), the brain must convert motion information to distance information (a process called 'path integration') to maintain our spatial orientation during self-motion in the dark. It is unknown, however, what brain areas are involved in converting vestibular-motion signals to those that enable such vestibular-spatial orientation. Hence, using voxel-based lesion-symptom mapping techniques, we explored the effect of acute right hemisphere lesions in 18 patients on perceived angular position, velocity and motion duration during whole-body angular rotations in the dark. First, compared to healthy controls' spatial orientation performance, we found that of the 18 acute stroke patients tested, only the four patients with damage to the temporoparietal junction showed impaired spatial orientation performance for leftward (contralesional) compared to rightward (ipsilesional) rotations. Second, only patients with temporoparietal junction damage showed a congruent underestimation in both their travelled distance (perceived as shorter) and motion duration (perceived as briefer) for leftward compared to rightward rotations. All 18 lesion patients tested showed normal self-motion perception. These data suggest that the cerebral cortical regions mediating vestibular-motion ('am I moving?') and vestibular-spatial perception ('where am I?') are distinct. Furthermore, the congruent contralesional deficit in time (motion duration) and position perception, seen only in temporoparietal junction patients, may reflect a common neural substrate in the temporoparietal junction that mediates the encoding of motion duration and travelled distance during vestibular-guided navigation. Alternatively, the deficits in timing and spatial orientation with temporoparietal junction lesions could be functionally linked, implying that the temporoparietal junction may act as a cortical temporal integrator, combining estimates of self-motion velocity over time to derive an estimate of travelled distance. This intriguing possibility predicts that timing abnormalities could lead to spatial disorientation.

Figures

  • Table 1 Patient demographics, lesion location and summary of psychophysical performance
  • Figure 1 Experimental protocols and methods. (A) Position task methods. Participants sat in a motorized rotating chair surrounded by a curtain with the numbers of the clock facing the participant. The chair rotated from the 12 o’clock position (‘start’) to another location in the dark, and participants then verbally indicated their perceived clock face position (‘rotation and indicate position’). The lights were then switched on to provide visual feedback (‘feedback’). The lights were then turned off and the chair rotated back to the start position (‘rotation back to start’), and the lights switched on (‘end and start’). (B) Motion task methods. Participants were asked to indicate when they perceived motion using button presses (right) to indicate right or left as soon as they felt they were moving. Simultaneous ocular motor responses were measured at nystagmus onset, and recorded using electro-oculography. (C) Time comparison task methods. Participants were given two distinct angular rotations of varying durations, and asked to indicate which of the two rotations (first or second) was longer in duration.
  • Figure 2 Behavioural results. (A) Position task results. Grouped response–stimulus position performances are shown for the four patients with a spatial deficit (Patients S1, S5, S14 and S15) (red; ‘position bias’ patients), patients with normal spatial performance (blue; ‘normal position performance’ patients) and age-matched controls (black). Position bias was calculated for each patient from the patient’s response–stimulus position performance regressions, by dividing the leftward regression slope by the rightward regression slope. Vertical bars represent standard errors of the mean. (B) Motion task results. Angular velocity thresholds ( /s) for ‘position bias’ stroke patients, and ‘normal position performance’ stroke patients, for leftward and rightward rotations. Vertical bars represent standard errors of the mean. The thick horizontal black line delineates the upper limit (group average + 1.96 SD) of the healthy control group motion perceptual threshold. (C) Time comparison task results. The temporal bias was obtained by calculating the probability of saying that the rightward rotation was of longer duration than the
  • Figure 3 Brain lesion maps and analysis. (A) Lesion map of all stroke patients (Patients S1–S18). (B) Lesion subtraction analysis for Patients S1–18 localized the Position task deficit to the temporoparietal junction (TPJ) shown in yellow. (C) VLSM analysis. For the VLSM, a t-test was performed at each voxel (using 1000 permutations and a P-value of 0.05) only in voxels that were damaged in at least three individuals. The bar on the far right gives the colour coding for the significance level for the VLSM analysis (units = t-values and only voxels with t4 4 are displayed). The most significant regions were in the angular gyrus (MNI: 38, 53, 30 to 43, 53, 24; t = 5.16) and just reaching the superior temporal gyrus (60, 53, 20), with further less significant voxels in the middle temporal gyrus (48, 51, 20; t = 4.62).

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CITATION STYLE

APA

Kaski, D., Quadir, S., Nigmatullina, Y., Malhotra, P. A., Bronstein, A. M., & Seemungal, B. M. (2016). Temporoparietal encoding of space and time during vestibular-guided orientation. Brain, 139(2), 392–403. https://doi.org/10.1093/brain/awv370

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