Inefficient frontal and parietal brain activation during dual-task walking in a virtual environment in older adults

Stojan, Robert; Mack, Melanie; Bock, Otmar; Voelcker‐Rehage, Claudia

doi:10.1016/j.neuroimage.2023.120070

Cited by 7 publications

(14 citation statements)

References 106 publications

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“…Ten of 56 GM regions were positively correlated with DSBs, while 8 GM regions were negatively correlated (Table 4 ). The negative reaction, which is contrary to the initial speculation, may be due to inefficiency and dedifferentiation often reported in aging brains 24 . It may alternatively be involved in a biological defense reaction.…”

Section: Discussioncontrasting

confidence: 73%

Uniformly positive or negative correlation of cerebral gray matter regions with driving safety behaviors of healthy older drivers

Park,

Putra,

Yoshida

et al. 2024

Sci Rep

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This study investigated the relationship between cerebral gray matter (GM) regions and driving safety behaviors (DSBs) of 98 older drivers without dementia (mean age, 77.72 ± 3.677 years). Their DSBs were evaluated on actual vehicles running on a closed-circuit course. The DSB was scored in six categories: DSB1, visual search behavior; DSB2, speeding; DSB3, signaling of the indicator; DSB4, vehicle stability; DSB5, positioning; and DSB6, steering. The scores were calculated by a single driving instructor; larger scores indicated safer driving performances. Regional GM volumes were measured with voxel-based morphometry by magnetic resonance imaging (MRI). Out of 56 GM regions, 18 were correlated with DSB categories except for DSB4. When a single GM region was correlated with multiple DSB categories, a positive or negative response was uniformly determined for the respective region despite clear differences in the DSB categories. This result suggests the possible existence of two contradictory mechanisms in the brain for DSB. The left postcentral gyrus may largely function in regulating DSBs because it was negatively correlated with five of six DSB categories. Thus, MRI’s measurement of regional GM volumes may help deepen the understanding of the diversity and complexity inherent in brain functions for DSBs.

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Section: Discussioncontrasting

confidence: 73%

Uniformly positive or negative correlation of cerebral gray matter regions with driving safety behaviors of healthy older drivers

Park,

Putra,

Yoshida

et al. 2024

Sci Rep

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“…This provides a robust platform to study the integration and interaction of brain processes associated with simultaneously delivered stimulations or tasks. 87 , 88 Past iVR-fNIRS studies have focused on assessing the interaction of cognitive control, visuospatial attention, working memory, and motor functions in scenarios such as distracted driving 57 , 61 and multitask walking 62 to explore the resource demand and brain performance during demanding tasks.…”

Section: Discussionmentioning

confidence: 99%

“… 105 Addressing these challenges is crucial in future iVR-fNIRS investigations to ensure the reliability of findings and prevent false discoveries. 110 Strategies employed in the reviewed studies included adopting lower low-pass temporal filtering cutoff frequencies (e.g., 0.1 or 0.2 Hz) 28 , 32 , 42 , 44 – 47 , 51 , 53 , 55 , 60 , 61 in contrast to the recommended 0.5Hz, 111 various motion correction methods, 35 , 38 , 39 , 44 , 55 , 56 , 62 principal component analysis for signal component separation, 57 , 61 and pre-whitening and least-square regression-based approaches to eliminate intrinsic signal auto-correlations. 33 , 54 , 58 , 59 Some studies incorporated additional measures to account for systemic physiological effects, such as the inclusion of short-separation fNIRS channels.…”

Section: Discussionmentioning

confidence: 99%

“… 45 , 58 Other studies opted to discard datasets that might be affected by motion sickness 43 or limited the total exposure time of participants to iVR. 50 , 62 Nevertheless, these mitigating measures introduce additional constraints on study execution and generalizability of results. Future research may explore strategies to control factors in an iVR environment design that lead to user motion sickness/cybersickness, such as increasing head stability, 118 minimizing user rotation and acceleration rates, implementing dynamic field of view adjustments during virtual movement, 119 and reducing display latency and flickering.…”

Section: Discussionmentioning

confidence: 99%

“…In a separate study, Stojan et al. 62 investigated brain activation changes from single-task to dual-task walking in older adults with working memory and inhibitory control tasks. They reported increased activations in the ventrolateral prefrontal area and parietal lobe accompanied by deteriorated task performance, indicating neural inefficiency in older adults under heavy cognitive loads.…”

Section: Applications Of Ivr-fnirs In Neuroscience Research and Therapymentioning

confidence: 99%

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iVR-fNIRS: studying brain functions in a fully immersive virtual environment

Peng,

Moussavi,

Karunakaran

et al. 2024

Neurophoton.

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. Immersive virtual reality (iVR) employs head-mounted displays or cave-like environments to create a sensory-rich virtual experience that simulates the physical presence of a user in a digital space. The technology holds immense promise in neuroscience research and therapy. In particular, virtual reality (VR) technologies facilitate the development of diverse tasks and scenarios closely mirroring real-life situations to stimulate the brain within a controlled and secure setting. It also offers a cost-effective solution in providing a similar sense of interaction to users when conventional stimulation methods are limited or unfeasible. Although combining iVR with traditional brain imaging techniques may be difficult due to signal interference or instrumental issues, recent work has proposed the use of functional near infrared spectroscopy (fNIRS) in conjunction with iVR for versatile brain stimulation paradigms and flexible examination of brain responses. We present a comprehensive review of current research studies employing an iVR-fNIRS setup, covering device types, stimulation approaches, data analysis methods, and major scientific findings. The literature demonstrates a high potential for iVR-fNIRS to explore various types of cognitive, behavioral, and motor functions in a fully immersive VR (iVR) environment. Such studies should set a foundation for adaptive iVR programs for both training (e.g., in novel environments) and clinical therapeutics (e.g., pain, motor and sensory disorders and other psychiatric conditions).

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The prefrontal cortex hemodynamic responses to dual-task paradigms in older adults: A systematic review and meta-analysis

Lapanan¹,

Kantha²,

Nantachai³

et al. 2023

Heliyon

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Inefficient frontal and parietal brain activation during dual-task walking in a virtual environment in older adults

Cited by 7 publications

References 106 publications

Uniformly positive or negative correlation of cerebral gray matter regions with driving safety behaviors of healthy older drivers

Uniformly positive or negative correlation of cerebral gray matter regions with driving safety behaviors of healthy older drivers

iVR-fNIRS: studying brain functions in a fully immersive virtual environment

The prefrontal cortex hemodynamic responses to dual-task paradigms in older adults: A systematic review and meta-analysis

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