PubMed Health⌕ Search

PubMed · 7874405

Posturography: uses and limitations.

Abstract

The field of posturography has been advanced by the development of computerized dynamic posturography, wherein a force platform has been combined with visual stimuli as a means of determining the relative importance of the various sensory inputs critical for balance, namely vision, somatosensation and vestibular sensation. When compared with other tests currently available for the assessment of vestibular function, computerized dynamic posturography is unique in that it assesses 'balance' rather than attempting to assess peripheral or central vestibular function more directly. This discussion focuses on the device manufactured by NeuroCom International, marketed under the trade name Equitest. The sensory organization portion of the test has been shown to be most useful in the assessment of patients with suspected vestibular disorders. This chapter reviews the current status of computerized dynamic posturography based on published material. The vestibular pattern on computerized dynamic posturography has been observed in patients with ongoing vestibulospinal deficits. Another pattern has been labelled 'surface dependence' or 'combined visual-vestibular deficit'. Data suggest that 2-3 weeks after loss of unilateral peripheral vestibular function, most patients lose their vestibular pattern. Thus, posturography can provide valuable information regarding the status of compensation for a peripheral vestibular deficit. Results from computerized dynamic posturography may disagree with those from other vestibular laboratory testing, which suggests that posturography tests a different aspect of vestibular function than that assessed by electronystagmography and rotational testing. Computerized dynamic posturography does not provide localizing or lateralizing information, nor any information regarding aetiology; it does provide functional information regarding how well an individual can use their balance and an indication of the importance of a patient's balance disturbance on their activities of daily living. Also, computerized dynamic posturography provides a functional measure that is helpful in predicting the benefit that patients may expect to receive from therapeutic intervention with physical therapy.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J M Furman. 1994. Posturography: uses and limitations.. https://pubmed.ncbi.nlm.nih.gov/7874405/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗