Visual Integration Research Articles

On Finding a Projected Coordinate Reference System

The digital age has brought about an explosion in the growth of data, of which data with a geographical component stands out. Proper use of geographical data comes with the need for correct coordinate reference systems (CRSs). They are considered the ultimate binder for interoperability between geospatial data actors and stakeholders. Moreover, CRSs are crucial for the visual and analytical integration of geospatial data from disparate data sources. However, CRSs might be—for numerous reasons—incorrectly assigned or even missing. The result is a time-consuming study of the map, literature, and available resources to ultimately find the alleged right CRS. This study provides a summary of prevailing resources from national mapping agencies of some European countries to address the above problem. Secondly, and most importantly, is the development of an open-source Python-based software package. This software package aims to accurately estimate the best candidate CRS, given a tuple of coordinates at a priori an approximately known location. It is controlled by geocoding the known location and intersecting the resulting coordinate with the bounding box of all CRSs in the EPSG-database. An in-depth review of CRS tools by mapping authorities reveals, in particular, limitations concerning the countries’ spatial areas, in combination with often required know-how of local CRSs. To address these shortcomings, our tool is developed to enable a more generic extraction of CRSs for any given location worldwide. Testing proved successful for 30 different maps, with a grid present on the map and the CRS of the map being included in the EPSG-database.

Balancing Cultural Heritage Conservation: Visual Integrity Assessment to Support Change Management in the Buffer Zone of Chiang Mai Historic City Using GIS and Computer-Generated 3D Modeling

The cultural landscape of Chiang Mai city, which is characterized by the interlinkage between mountain and historical settlement, has faced the adverse impacts of visual intrusion in its buffer zone from urbanization. However, there are challenges to creating a quantitative visual evaluation for decision making in response to rapid urban change. This study evaluated the impact of building height on the city skyline and utilized existing cultural heritage locations on the mountain to define a protected visual zone while conducting a 3D-GIS-based visibility analysis to identify obstruction in three scenarios: the actual condition scenario (ACS) considering current conditions, the land use scenario (LUS) considering the land use ordinance, and the proposed scenario (PPS) considering mountain skyline protection, using computer-generated 3D city modeling. The comparative results from the analysis of viewshed, line of sight, and development area calculations revealed that the number of obstructed locations in the LUS decreased by 48.46%, and in the PPS, they decreased by 77.99%, while the development area increased by similar amounts, demonstrating that the city can grow and develop despite stricter height controls. In addition, based on a visual assessment, this study established a buffer distance and intensity to protect the integrity of the heritage while allowing the city to develop.

A In-depth Case Study on User Behaviors and Spatial Configuration for Utilization of Outdoor Spaces in an Apartment Complex

Since the outbreak of COVID19, outdoor spaces in apartment complexes are being used more actively, so it is very important to create desirable outdoor spaces. The uses of outdoor spaces in apartment complexes depend on various factors, and spatial configuration is one factor that changes usage behaviors. Therefore, this study aims to examine the spatial configuration and usage behaviors in an apartment complex with largest outdoor spaces recently constructed. The main method of this study is space syntax and observation survey. Firstly, in order to analyze the spatial configuration, the integration of the outdoor space was analyzed through Visibility Graph Analysis. Afterward, through observation, the frequency and behavior types of outdoor spaces by apartment residents were investigated, and the relationship between the integration and the usage behavior was analyzed. As a result, playground 1 (23.5%), playground 2 (12.6%), plaza 2 (12.6%), and rest facilities 3 (11.3%) were used the most. As a result of analyzing the relationship between the behavioral characteristics and visual integration, it was confirmed that outdoor spaces with high visibility were used more frequently. The results of this study are meaningful in providing basic data for outdoor space planning that can increase the utilization of outdoor space.

Neural alterations of emotion processing in atypical trajectories of psychotic-like experiences

The aim of this study was to investigate the neural bases of facial emotion processing before the onset of clinical psychotic symptoms in youth belonging to well-defined developmental trajectories of psychotic-like experiences (PLEs). A unique sample of 86 youths was recruited from a population-based sample of over 3800 adolescents who had been followed from 13 to 17 years of age. Three groups were identified based on validated developmental trajectories: a control trajectory with low and decreasing PLEs, and two atypical trajectories with moderate to elevated baseline PLEs that subsequently decreased or increased. All had functional magnetic resonance imaging data collected during a facial emotion processing task. Functional activation and connectivity data were analyzed for different contrasts. The increasing PLE trajectory displayed more positive psychotic symptoms while the decreasing trajectory exhibited more negative symptoms relative to the control group. During face processing, both atypical trajectories displayed decreased activations of the right inferior frontal gyrus (IFG), while the increasing trajectory displayed a negative signal in the precentral gyrus. The increasing PLE trajectory also displayed impaired connectivity between the amygdala, ventromedial prefrontal cortex, and cerebellum, and between the IFG, precuneus, and temporal regions, while the decreasing trajectory exhibited reduced connectivity between the amygdala and visual regions during emotion processing. Both atypical PLE trajectories displayed alterations in brain regions involved in attention salience. While the increasing trajectory with more positive symptoms exhibited dysconnectivity in areas that influence emotion salience and face perception, the decreasing trajectory with more negative symptoms had impairments in visual information integration areas. These group-specific features might account for the differential symptom expression.

Chiroptical-responsive nanoprobe for the optosensing of chiral amino acids.

A supersensitive chiroptical-responsive system of enantioselectively recognizing L- and D-tryptophan (Trp) based on ( +)-diacetyl-L-tartaric anhydride-functionalized 1,3,5-triformylphloroglucinol (DTA-functionalized Tp) was constructed for the first time. With a high fluorescence quantum yield of 15.2% and fluorescence lifetime of 57.6μs, DTA-functionalized Tp as both fluorescent and chiral recognition nanoprobe was used for the discrimination of L- and D-Trp with excitation/emission maxima at 330/490nm within 3min. The linear range of the fluorescence sensing was 0.002-0.15μgmL-1, and the detection limit achieved 1.4ngmL-1. Furthermore, a smartphone was employed as a detector and processor to couple with the chiroptical-responsive nanoprobe for establishing a novel and visual integration system for rapid and real-time detection of chiral amino acids with a detection limit of 13ngmL-1. The spiked recoveries of L-Trp in two commercially available functional beverages ranged from 86.00 to 118.33% in fluorescence and smartphone-based sensing system. Based on the excellent chiroptical-responsive effects, high stability, and biocompatibility, the chiroptical-responsive nanoprobe was successfully applied to visual optosensing and fluorescence imaging in response to L- and D-Trp in HeLa cells. This discrimination methodology with high sensitivity and enantioselectively shows great potential for in-site visually monitoring chiral amino acids in real food samples and tracking physiological processes.

CONTINUITY: CONnectivity Tool with INtegration of sUbcortical regions, regIstration and visualization of TractographY.

In this work, we present CONTINUITY, a novel, open-source interactive computation and visualization tool for brain connectome data. The connectome processing pipeline performs surface based processing as the main mode of operation. The automated processing includes structural-to-diffusion image co-registration, surface reconstruction for subcortical structures, as well as fiber tractography. The tool supports 3 different probabilistic methods of tractography offered by the tractography frameworks in FSL, MRtrix and DIPY. All methods employ brain and subcortical surfaces as seeds to initialize the tractography algorithms. CONTINUITY implements a friendly Graphical User Interface (GUI) to make the workflow accessible for nontechnical users. Additionally, it offers the possibility to visualize the results of the brain connectome in several interactive plot types such as a hierarchical edge bundling circle plot and over 2D/3D brain templates. This visualization tool can also be applied to connectome matrices computed with other tools and pipelines.

A multifunctional near-infrared fluorescent probe for in vitro and in vivo imaging of γ-glutamyltranspeptidase and photodynamic cancer therapy

The excessive expression of γ-glutamyltranspeptidase (GGT) is known to be closely associated with the progression, invasion and metastasis of malignant tumors, enabling GGT to be a cancer-related biomarker for cancer diagnosis. The development of the multifunctional fluorescent probe that combines GGT measurement and photodynamic therapy (PDT) into a single platform possesses exciting prospect for concurrent tumor diagnosis and treatment. In this study, we designed a new near-infrared (NIR) fluorescent probe (CyI-Glu) with therapeutic function which could realize the integration of fluorescence endogenous GGT visualization for tumor diagnosis and NIR imaging-guided tumor photodynamic therapy. CyI-Glu manifested a significant turn-on NIR fluorescence (718 nm) in response to GGT, which made it favorable for monitoring GGT activity with high selectivity and sensitivity (0.014 U/L) in vitro and in vivo. Furthermore, this GGT-responsive probe possessed improved ROS generation capacity for tumor cell apoptosis and tumor growth inhibition under NIR light irradiation. Collectively, the multifunctional fluorescent probe CyI-Glu with complementary advantages demonstrates significant potential for the diagnosis and treatment of tumors in complex organisms.

Future Manifestation of Lighting in Sacred Landscapes Through Analyzing the Existing Sacred Structures

Lighting in sacred structures is an important part of architecture as it has physical and psychological impact on visitors and also influences how well a space is perceived. This research study intends to demonstrate that how expressions of light and daylight factor have a significant impact in the structure's design. The study utilizes a mixed method approach, with qualitative and quantitative analysis of lighting levels and visual integration of numerous sacred spaces, studied and compared through case studies. The findings aided in the development of guidelines for individual, collective and sacred lighting of landscapes in order to heighten the sense of sanctity inside the area. Since this study mainly focuses on natural illumination in the horizontal plane, more research can be conducted focused on the use of artificial lighting levels. The vertical plane, which incorporates walls and openings, can also be considered to see how it alters interior illumination.

A Systematic Review of Host Genomic Variation and Neuropsychological Outcomes for Pediatric Cancer Survivors.

Pediatric survivors of brain tumors and acute lymphoblastic leukemia (ALL) are at risk for long-term deficits in their neuropsychological functioning. Researchers have begun examining associations between germline single nucleotide polymorphisms (SNPs), which interact with cancer treatment, and neuropsychological outcomes. This review synthesizes the impact of treatment-related toxicity from germline SNPs by neuropsychological domain (i.e., working memory, processing speed, psychological functioning) in pediatric survivors. By focusing on specific neuropsychological domains, this review will examine outcome measurement and critique methodology. Fourteen studies were identified and included in this review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). All studies were published in peer-reviewed journals in English by November 24th, 2021. Reviewed studies were not of sufficient quality for a meta-analysis due to varying measurement strategies, gaps in reported descriptive variables, and low power. All neuropsychological domains evaluated in this review had associations with SNPs, except fine motor and visual integration abilities. Only five SNPs had consistent neuropsychological findings in more than one study or cohort. Future research and replication studies should use validated measures of discrete skills that are central to empirically validated models of survivors' long-term outcomes (i.e., attention, working memory, processing speed). Researchers should examine SNPs across pathophysiological pathways to investigate additive genetic risk in pediatric cancer survivors. Two SNPs were identified that confer resiliency in neuropsychological functioning, and future work should investigate resiliency genotypes and their underlying biological mechanisms.

High-pressuretreatment of water-filled co-extruded polylactide films: Effect on microstructure, barrier, thermal, and rheological properties.

The impact of high-pressure treatments (450 and 600MPa) on the morphological, thermal, structural, and barrier properties of commercial coextruded polylactide (PLA) packaging films has been explored to evaluate their applicability in food processing. Pouches filled with water as a food simulant were subjected to high-pressure treatment for 15min at ambient temperature. Results indicated no significant changes in the visual appearance, color, integrity, or water barrier properties of the post-process pouches. However, high-pressure treatment affected mechanical property results. Thermal analysis of the film showed endothermic double melting peaks (165.12 and 170.55°C), which did not change with the pressurization; however, the exothermic crystallization peak (118.08°C) varied significantly. Both SEM and AFM micrographs demonstrated that the surface morphology and roughness parameters (arithmetic mean [Sa ] and root mean square height [Sq ]) of the films were significantly affected by the HP treatment, which is further complemented by the FTIR spectra and XRD diffractogram. Melt rheology (175-205°C) of the pressure-treated films showed a significant drop (20-30%) in mechanical rigidity (G') when compared to the untreated sample. Changes in the microstructure/crystallinity in the PLA films were indicated by van Gurp and Palmen plot. PRACTICAL APPLICATION: The results reported here can help to improve the design of the coextruded packaging materials so that it can be successfully implemented to high-pressure processing and high pressure-assisted thermal processing of food.

Graph-based linguistic and visual information integration for on-site occupational hazards identification

Construction sites are hazardous with various potential hazards that can occur at any time. The combination of different factors always causes the construction fatalities, and the majority of these fatalities could be prevented if workers followed on-site regulatory rules. However, compliance of regulatory rules is not strictly enforced among workers due to all kinds of reasons. Although previously proposed vision-based approaches are available for occupational hazards identification, the practicality is limited by the lack of automated understanding and adaptability to regulatory rules changes. In response to these gaps, this paper proposes a novel graph-based framework that integrates linguistic and visual information to process regulatory rule sentences and images for on-site occupational hazards identification. Particularly, a regulatory rules processing approach is presented to automatically extract and represent the key linguistic information of regulatory rules and a vision-based image scene information understanding approach is introduced to process on-site images by the combination of deep learning-based object detection and individual detection using geometric relationships analysis. Additionally, an automated reasoning approach is proposed to provide the integration of the processed linguistic and visual information and perform hazards identification. The hazards of two scenes, i.e., “working on height” and “operating a grinder”, were successfully identified with significantly higher performance compared to the baseline model.

SmartShots: An Optimization Approach for Generating Videos with Data Visualizations Embedded

Videos are well-received methods for storytellers to communicate various narratives. To further engage viewers, we introduce a novel visual medium where data visualizations are embedded into videos to present data insights. However, creating such data-driven videos requires professional video editing skills, data visualization knowledge, and even design talents. To ease the difficulty, we propose an optimization method and develop SmartShots, which facilitates the automatic integration of in-video visualizations. For its development, we first collaborated with experts from different backgrounds, including information visualization, design, and video production. Our discussions led to a design space that summarizes crucial design considerations along three dimensions: visualization, embedded layout, and rhythm. Based on that, we formulated an optimization problem that aims to address two challenges: (1) embedding visualizations while considering both contextual relevance and aesthetic principles and (2) generating videos by assembling multi-media materials. We show how SmartShots solves this optimization problem and demonstrate its usage in three cases. Finally, we report the results of semi-structured interviews with experts and amateur users on the usability of SmartShots.

Temporal properties of positive and negative defocus on emmetropization

Studying the temporal integration of visual signals is crucial to understand how time spent on different visual tasks can affect emmetropization and refractive error development. In this study we assessed the effect of interrupting positive and negative lens-imposed defocus with brief periods of unrestricted vision or darkness. A total of forty-six marmosets were treated monocularly with soft contact lenses for 4 weeks from 10 weeks of age (OD: + 5D or − 5D; OS: plano). Two control groups wore + 5D (n = 5) or − 5D (n = 13) lenses continuously for 9 h/day. Two experimental groups had lens-wear interrupted for 30 min twice/day at noon and mid-afternoon by removing lenses and monitoring vision while marmosets sat at the center of a viewing cylinder (normal vision interruption, + 5D: n = 7; − 5D: n = 8) or while they were in the dark (dark interruption, + 5D: n = 7; − 5D: n = 6). The interruption period (30 min/day) represented approx. 10% of the total stimulation time (9 h/day). On-axis refractive error (RE) and vitreous chamber depth (VCD) were measured using an autorefractor and high frequency A-scan ultrasound at baseline and after treatment. Wearing + 5D lenses continuously 9 h/day for 4 weeks induced slowed eye growth and hyperopic shifts in RE in treated relative to contralateral control eyes (relative change, VCD: − 25 ± 11 μm, p > 0.05; RE: + 1.24 ± 0.58 D, p > 0.05), whereas − 5D lens wear resulted in larger and myopic eyes (relative change, VCD: + 109 ± 24 μm, p < 0.001; RE: − 2.03 ± 0.56 D, p < 0.05), significantly different from those in the + 5D lens-treated animals (p < 0.01 for both). Interrupting lens induced defocus with periods of normal vision or darkness for approx. 10% of the treatment time affected the resulting compensation differently for myopic and hyperopic defocus. Interrupting defocus with unrestricted vision reduced − 5D defocus compensation but enhanced + 5D defocus compensation (− 5D, VCD: + 18 ± 33 μm; RE: − 0.93 ± 0.50 D, both p > 0.05; + 5D, VCD: − 86 ± 30 μm; RE: + 1.93 ± 0.50 D, both p < 0.05). Interrupting defocus with darkness also decreased − 5D defocus compensation, but had little effect on + 5D defocus compensation (− 5D, VCD: + 73 ± 34 μm, RE: − 1.13 ± 0.77 D, p > 0.05 for both; + 5D, VCD: − 10 ± 28 μm, RE: + 1.22 ± 0.50 D, p > 0.05 for both). These findings in a non-human primate model of emmetropization are similar to those described in other species and confirm a non-linear model of visual signal integration over time. This suggests a mechanism that is conserved across species and may have clinical implications for myopia management in school-aged children.

Visuospatial orientation: Differential effects of head and body positions

To orientate in space, the brain must integrate sensory information that encodes the position of the body with the visual cues from the surrounding environment. In this process, the extent of reliance on visual information is known as the visual dependence. Here, we asked whether the relative positions of the head and body can modulate such visual dependence (VD). We used the effect of optokinetic stimulation (30°/s) on subjective visual vertical (SVV) to quantify VD as the average optokinetic-induced SVV bias in clockwise and counter-clockwise directions. The VD bias was measured in eight subjects with a head-on-body tilt (HBT) where only the head was tilted on the body, and also with a whole-body tilt (WBT) where the head and body were tilted together. The VD bias with HBT of 20° was in the same direction of the head tilt position (left tilt VD −1.35 ± 0.1.2°; right VD 1.60 ± 0.9°), whereas the VD bias with WBT of 20° was in a direction away from the body tilt position (left tilt VD 2.5 ± 1.1°; right tilt VD −2.1 ± 0.9°). These findings show differential effects of relative head and body positions on visual cue integration, a process which could facilitate optimal interaction with the surrounding environment for spatial orientation.

PROSPECTIVE SOFTWARE TOOLS FOR DATA ANALYSIS IN BUSINESS

The article presents the results of a research of promising software tools for data analysis that can be used for domestic business, their characteristics, identifying features, advantages and disadvantages of various business intelligence tools, recommendations for implementation. Data analysis tools provide an opportunity to significantly improve the company’s performance, but only when the selection of the tool, its implementation and maintenance take into account all the features of the company’s business processes. Business analytics software tools help you analyze your datasets to make informed management decisions, improve processes, and shape and achieve business goals.To choose the right business intelligence tools, you need to consider the most important factors: visual functionality, flexibility, integration, customization, mobility, learning requirements, pricing, IT support, cloud or local BI deployment, and more. In addition, you need to identify the functions that are most important to your company, will allow you to get a balanced option: meet current needs and anticipate further growth. The main functions offered by BI suppliers: debugging information panels; built-in analytics; functions of joint work; remote access by mobile devices; independent data preparation; advanced analytics, etc. Areas of use of data mining are virtually unlimited, in particular, its use by commercial enterprises that implement projects based on information repositories can gain significant advantages over competitors, as well as in strategic planning. Data is a powerful tool for business transformation, forcing companies to use modern business intelligence tools and seek experts to help understand, decipher and interpret hidden trends in the industry and the market. This is especially true when working with Вig data.

Using visual feedback to improve hand movement accuracy in confined-occluded spaces in virtual reality

Accurate and informative hand-object collision feedback is of vital importance for hand manipulation in virtual reality (VR). However, to our best knowledge, the hand movement performance in fully-occluded and confined VR spaces under visual collision feedback is still under investigation. In this paper, we firstly studied the effects of several popular visual feedback of hand-object collision on hand movement performance. To test the effects, we conducted a within-subject user study (n=18) using a target-reaching task in a confined box. Results indicated that users had the best task performance with see-through visualization, and the most accurate movement with the hybrid of proximity-based gradation and deformation. By further analysis, we concluded that the integration of see-through visualization and proximity-based visual cue could be the best compromise between the speed and accuracy for hand movement in the enclosed VR space. On the basis, we designed a visual collision feedback based on projector decal,which incorporates the advantages of see-through and color gradation. In the end, we present demos of potential usage of the proposed visual cue.

Robotic manipulation based on 3-D visual servoing and deep neural networks

The critical challenge, for robot–object-interaction, is to estimate visually the pose of the target object in a 3D space and combine it into a vision-based control scheme in manipulation applications. This paper proposes a novel reliable framework for deep ConvNet combined with visual servoing using a single RGB camera. We introduce an extensive system called Deep-Visual-Servoing (DVS) that addresses an integration of: (I) training of deep-CNNs using synthetic dataset only and operates successfully in real-world scenario, (II) continuous 3 D object pose estimation as the sensing feedback in a 3D visual servoing control scheme, and (III) design, integration and experimentation of visual servoing approach based on Lyapunov’s theory. The proposed deep based learning approach, the kinematic modeling and controller design are experimentally verified and discussed using the 6 DOF UR5 manipulator.

LONGITUDINAL ELLIPSOID ZONE AND OUTER RETINAL INTEGRITY DYNAMICS AFTER EPIRETINAL MEMBRANE SURGERY.

To quantify ellipsoid zone (EZ) changes in integrity after epiretinal membrane (ERM) surgery, correlate findings to visual acuity, and determine predictors for prognosis. A post hoc analysis of eyes undergoing ERM surgery pooled from the prospective DISCOVER intraoperative optical coherence tomography study and eyes undergoing conventional ERM surgery without intraoperative optical coherence tomography. Quantitative EZ features were extracted using a multilayer machine learning enabled automated segmentation platform after image analyst review/correction for segmentation accuracy. Visual acuity and EZ integrity were quantitatively assessed and correlated before and after ERM surgery. Multiple linear regression was performed to assess preoperative visual acuity and EZ features as predictors for improvement in visual acuity or EZ integrity. There were 177 eyes from 177 subjects that underwent ERM surgery from the DISCOVER and conventional arms. Improvement in visual acuity and multiple EZ integrity features was noted after ERM surgery, including EZ partial attenuation and EZ-retinal pigment epithelium (RPE) volume (P < 0.05). A reduction in EZ partial attenuation and increase in EZ-RPE central subfield thickness (EZ-RPE CST) was significantly correlated with improved visual acuity after ERM surgery (P < 0.05). More robust EZ-RPE CST at baseline predicted visual acuity improvement after ERM peel in regression modeling (β = 0.005, P < 0.05). Longitudinal assessment of EZ features demonstrates significant postoperative improvement in multiple EZ integrity metrics after ERM surgery. Improving EZ integrity was correlated to improving the visual acuity. Ellipsoid zone integrity and visual acuity were significant predictors in regression modeling and may have value in clinical prognostication.

Neuropsychological development of human immunodeficiency virus-exposed uninfected infants/young children

To investigate the level of neuropsychological development in human immunodeficiency virus (HIV)-exposed uninfected (HEU) infants/young children and the influence of maternal HIV infection on the neuropsychological development of HEU infants/young children. A total of 141 HEU infants/young children, aged 0-18 months and born to HIV-infected mothers, who were managed in four maternal and child health care hospitals in Yunnan Province of China from June 2019 to December 2020 and met the inclusion criteria were enrolled as the HEU group. A total of 141 HIV-unexposed uninfected (HUU) infants/young children who were born to healthy mothers and managed in the same hospitals, matched at a ratio of 1:1 based on sex, age, method of birth, birth weight, and gestational age, were enrolled as controls. Griffiths Development Scales-Chinese Edition was used to assess the development in the five domains of locomotion, personal-social, hearing and language, eye-hand co-ordination, and performance (visual perception and space integration ability). A questionnaire survey was performed to collect relevant information. The multivariate logistic regression analysis was used to assess the influence of maternal HIV infection on the neuropsychological development of HEU infants/young children. Compared with the HUU group, the HEU group had significantly higher detection rates of retardation in the domains of hearing and language and performance (P<0.05). The multivariate logistic regression analysis showed that maternal HIV infection increased the risk of retardation in the domains of hearing and language (OR=2.661, 95%CI: 1.171-6.047, P<0.05) and performance (OR=2.321, 95%CI: 1.156-4.658, P<0.05). Maternal HIV infection can negatively affect the development of hearing and language and performance in HEU infants/young children, and further studies are needed to clarify related mechanisms.

White matter lesion load is associated with lower within- and greater between- network connectivity across older age

White matter hyperintensities (WMH) are among the most prominent structural changes observed in older adulthood. These changes coincide with functional changes to the intrinsic network organization of the aging brain. Yet little is known about how WMH are associated with changes to the whole-brain functional connectome in normal aging. We used a lesion prediction algorithm to quantify WMH as well as resting-state multiecho functional magnetic resonance imaging to characterize resting-state functional connectivity in a cross-sectional sample of healthy older adults (N = 105, 60–83 years of age). In a multivariate analysis, we found that higher lesion load was associated with a global pattern of network dedifferentiation, marked by lower within- and greater between- network connectivity. Network specific changes included greater visual network integration and greater posterior-anterior connectivity. The relationship between WMH and resting-state functional connectivity was negatively associated with fluid IQ as well as Blood Oxygen Level Dependent signal dimensionality. Reduced functional network segregation is a widely observed pattern of age-related change. Our findings show that these functional changes are associated with the accumulation of WMH in older adulthood.