When an animal moves through the world, its brain receives a stream of information about the body's translational velocity from motor commands and sensory feedback signals. These incoming signals are referenced to the body, but ultimately, they must be transformed into world-centric coordinates for navigation. Here we show that this computation occurs in the fan-shaped body in the brain of Drosophila melanogaster. We identify two cell types, PFNd and PFNv, that conjunctively encode translational velocity and heading as a fly walks. In these cells, velocity signals are acquired from locomotor brain regions and are multiplied with heading signals from the compass system. PFNd neurons prefer forward-ipsilateral movement, whereas PFNv neurons prefer backward-contralateral movement, and perturbing PFNd neurons disrupts idiothetic path integration in walking flies. Downstream, PFNd and PFNv neurons converge onto hΔB neurons, with a connectivity pattern that pools together heading and translation direction combinations corresponding to the same movement in world-centric space. This network motif effectively performs a rotation of the brain's representation of body-centric translational velocity according to the current heading direction. Consistent with our predictions, we observe that hΔB neurons form a representation of translational velocity in world-centric coordinates. By integrating this representation over time, it should be possible for the brain to form a working memory of the path travelled through the environment.
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http://dx.doi.org/10.1038/s41586-021-04191-x | DOI Listing |
Neuroinformatics
January 2025
Translational Neuroimaging Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Blood flow velocity in the cerebral perforating arteries can be quantified in a two-dimensional plane with phase contrast magnetic imaging (2D PC-MRI). The velocity pulsatility index (PI) can inform on the stiffness of these perforating arteries, which is related to several cerebrovascular diseases. Currently, there is no open-source analysis tool for 2D PC-MRI data from these small vessels, impeding the usage of these measurements.
View Article and Find Full Text PDFFront Aging Neurosci
January 2025
Department of Chemistry, Memorial University of Newfoundland, St. John's, NL, Canada.
Introduction: Early detection of neurodegeneration is essential for optimizing interventions. The highly reproducible progression of neurodegeneration in the decrepit () mouse allows investigation of early biomarkers and mechanisms of brain injury.
Methods: Using high-frequency ultrasound, the common carotid arteries of female and male and control mice were imaged longitudinally at time points bracketing the disease progression (50, 75, and 125 days of age) ( = 6 mice/group/sex).
Ultrasound J
January 2025
Health Sciences North Research Institute, Sudbury, ON, Canada.
The duration of mechanical systole-also termed the flow time (FT) or left ventricular ejection time (LVET)-is measured by Doppler ultrasound and increasingly used as a stroke volume (SV) surrogate to guide patient care. Nevertheless, confusion exists as to the determinants of FT and a critical evaluation of this measure is needed. Using Doppler ultrasound of the left ventricular outflow tract velocity time integral (LVOT VTI) as well as strain and strain rate echocardiography as grounding principles, this brief commentary offers a model for the independent influences of FT.
View Article and Find Full Text PDFFront Aging Neurosci
January 2025
Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences, Oklahoma City, OK, United States.
Introduction: Growing aging populations pose new challenges to public health as the number of people living with dementia grows in tandem. To alleviate the burden of dementia, prodromal signs of cognitive impairment must be recognized and risk factors reduced. In this context, non-invasive techniques may be used to identify early changes and monitor disease progression.
View Article and Find Full Text PDFAm J Physiol Regul Integr Comp Physiol
January 2025
Division of Physical Therapy and Rehabilitation Science, Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN.
Arterial stiffness is a well-known risk factor for cardiovascular disease. Although estradiol (E2) is known to be cardioprotective, the available data point to a growing cardiovascular disease risk in women before menopause due to post-traumatic stress disorder (PTSD). The present study aimed to investigate the effects of E2 on arterial compliance in trauma-exposed premenopausal women, with and without a clinical diagnosis PTSD.
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