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Cortical visual impairment is particularly relevant in children with neurodevelopmental disorders yet remains underdiagnosed. This study assessed the prevalence and severity of cortical visual impairment in 4 neurogenetic conditions: STXBP1, SLC6A1, Ring 14, and 8p-related disorders. We also evaluated the -Clinical Severity Assessment-Clinician vision subdomain as a diagnostic tool and examined the association between cortical visual impairment and developmental outcomes. A retrospective chart review of 85 patients found cortical visual impairment in 44%, most commonly in 8p (54%) and STXBP1 (50%); no cases were seen in . The -Clinical Severity Assessment-Clinician vision subdomain effectively distinguished cortical visual impairment cases (mean score 25.9 vs 2.6, < .0001). A cutoff score ≥11 showed high specificity (95.9%) and positive predictive value (94.3%). Cortical visual impairment was significantly associated with greater developmental impairment, with higher overall -Clinical Severity Assessment-Clinician scores and lower Vineland Adaptive Behavioral Scales-Third Edition scores. Early identification of cortical visual impairment is critical for ensuring access to appropriate therapies and therefore should be more systematically evaluated for in neurogenetic conditions.
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http://dx.doi.org/10.1177/08830738251361698 | DOI Listing |
Cereb Cortex
August 2025
Section of Brain Function Information, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi 444-8585, Japan.
This study aimed to identify brain activity modulations associated with different types of visual tracking using advanced functional magnetic resonance imaging techniques developed by the Human Connectome Project (HCP) consortium. Magnetic resonance imaging data were collected from 27 healthy volunteers using a 3-T scanner. During a single run, participants either fixated on a stationary visual target (fixation block) or tracked a smoothly moving or jumping target (smooth or saccadic tracking blocks), alternating across blocks.
View Article and Find Full Text PDFCereb Cortex
August 2025
School of Psychology, University of Surrey, Stag Hill, Guildford, Surrey, GU2 7XH, United Kingdom.
Alpha oscillations have been implicated in the maintenance of working memory representations. Notably, when memorised content is spatially lateralised, the power of posterior alpha activity exhibits corresponding lateralisation during the retention interval, consistent with the retinotopic organisation of the visual cortex. Beyond power, alpha frequency has also been linked to memory performan ce, with faster alpha rhythms associated with enhanced retention.
View Article and Find Full Text PDFBrain Behav
September 2025
Radiology Department, Yantaishan Hospital, Yantai, Shandong, China.
Objective: To investigate the characteristics of brain structures in patients with noise-induced hearing loss (NIHL) using source-based morphometry (SBM) and to evaluate the correlation between abnormal brain regions and clinical data.
Methods: High-resolution 3D T1 structural images were acquired from 81 patients with NIHL and 74 age- and education level-matched healthy controls (HCs). The clinical data of all subjects were collected, including noise exposure time, monaural hearing threshold weighted values (MTWVs), Mini-Mental State Examination (MMSE), and Hamilton Anxiety Scale (HAMA) scores.
J Vis
September 2025
Neuroscience Program, Western University, London, ON, Canada.
Studies of visual face processing often use flat images as proxies for real faces due to their ease of manipulation and experimental control. Although flat images capture many features of a face, they lack the rich three-dimensional (3D) structural information available when binocularly viewing real faces (e.g.
View Article and Find Full Text PDFNeurotrauma Rep
August 2025
Department of Radiology, Weill Cornell Medicine; New York, New York, USA.
Traumatic brain injury (TBI) impairs attention and executive function, often through disrupted coordination between cognitive and autonomic systems. While electroencephalography (EEG) and pupillometry are widely used to assess neural and autonomic responses independently, little is known about how these systems interact in TBI. Understanding their coordination is essential to identify compensatory mechanisms that may support attention under conditions of neural inefficiency.
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