See, Blind Mice: Consortium’s Drugs Restore Sight

A consortium led by scientists at the Institute for Bioengineering of Catalonia (IBEC) has developed a series of light-activated small molecule drugs that in preclinicial tests restored sight in blind mice. The team’s approach is based on photopharmacology, a technique for reversibly control drug activity using light.

The newly developed compounds, called prosthe6, mimic the function of light sensing photoreceptor cells, which degenerate in blinding diseases such as age-related macular degeneration (AMD) and retinitis pigmentosa (RP).

The prosthe6 compounds target ON-bipolar neurons and in tests were found to successfully restore saccadic eye movements (optokinetic reflex) in blinded zebrafish larvae, a widely used model for studying visual acuity. Even more strikingly, the researchers demonstrated recovery of innate light-avoidance behavior in mouse models of age-related macular degeneration and retinitis pigmentosa.

Test results suggest that the prosthe6 compounds may be administered by injecting them in the eye, or administered as eye drops. In animal studies the photoswitchable molecules also showed promising preliminary safety profiles, pointing to the development of potential drug candidates for restoring vision in patients with degenerative retinal diseases, without the need for genetic manipulation or implanted devices. Importantly, these compounds are designed to work under normal lighting conditions and do not require light-enhancing devices as optogenetics. They are small, water-soluble molecules that respond to ordinary visible or white light, such as indoor lighting or daylight, without requiring intense or specialized light sources.

“These molecules do not cure blindness, because they do not address the cause of photoreceptor degeneration,” said study co-lead Pau Gorostiza, PhD, ICREA Research Professor at IBEC, leader of the Nanoprobes and Nanoswitches group, member of CIBER-BBN. “But they are remarkably effective at restoring sight, and they do so using a very simple and potentially patient-friendly approach.”

Rosalba Sortino, former PhD student at the University de Barcelona, and currently post-doctoral researcher at Gorostiza’s group at IBEC, added, “Our goal was to restore vision using a molecular mechanism that is as close as possible to how the healthy retina works … Instead of bypassing retinal processing, we aimed to reactivate it right at the same level of the retinal circuit than the lost photoreceptor cells.”

Sortino is co-first author of the team’s published paper in Journal of the American Chemical Society, titled “Restoration of saccadic eye movements and visually guided behavior in ambient white light with photoswitchable small molecules.”

Diseases such as age-related macular degeneration and retinitis pigmentosa affect 200 million people worldwide and are the leading causes of visual impairment and blindness. Beyond the personal impact on quality of life and independence, vision loss places a global economic burden estimated at over US$400 billion per year in healthcare costs and lost productivity.

Researchers Rosalba Sortino (left) and Joaquin Martinez Tambella (right) working in the laboratories of the Institute for Bioengineering of Catalonia (IBEC). Sortino is a post-doctoral researcher at the Nanoprobes and Nanoswitches group at IBEC and co-first author of the study. Martinez is a PhD student at the Nanoprobes and Nanoswitches group at IBEC and co-first author of the study. [Institute for Bioengineering of Catalonia (IBEC).]
Researchers Rosalba Sortino (left) and Joaquin Martinez Tambella (right) working in the laboratories of the Institute for Bioengineering of Catalonia (IBEC). Sortino is a post-doctoral researcher at the Nanoprobes and Nanoswitches group at IBEC and co-first author of the study. Martinez is a PhD student at the Nanoprobes and Nanoswitches group at IBEC and co-first author of the study. [Institute for Bioengineering of Catalonia (IBEC)]

In many of these conditions, photoreceptor (PhR) cells—the retina’s light detectors—progressively degenerate and die. Although the downstream retinal neuronal circuitry remains largely intact and functionally viable, it no longer receives the light signals needed to drive visual processing towards the brain. This opportunity has fueled intense research efforts to develop treatments capable of restoring light sensitivity to the eye. Current strategies include gene therapy—effective only for a very small subset of patients with specific mutations—and electronic retinal prostheses, which are invasive, expensive, and require extensive training for effective use.

More recently, optogenetics and light-responsive drugs have entered clinical testing, the latter with encouraging safety results. “Photopharmacology can develop photoswitchable small molecules to restore vision impairment by conferring light sensitivity to ion channels that are widely expressed in the remaining inner retinal neurons, and a first-in-human clinical trial is ongoing,” the team noted. However, achieving high-quality vision at ambient illumination levels remains a major challenge.

The (IBEC)-led consortium has now developed a new class of photoswitchable small-molecule drugs that are capable of restoring key visual functions in animal models of blindness. The team’s photopharmacology-based technique involves modifying a drug’s chemical structure by adding a light-activated molecular switch, enabling control of the pharmacological action using light. “Unlike (opto)genetic manipulation and surgically implanted retinal electronic prostheses, pharmacotherapy is noninvasive, readily reversible, and can be upgraded when new drugs are approved,” the authors noted. “Medicines are preferred by patients, clinicians, and public healthcare systems, they  can be developed and manufactured at lower costs than other approaches and assessed by conventional regulatory procedures and clinical assays.”

The reported work builds on more than a decade of research and was carried out in collaboration with the team co-led by Pedro de la Villa at the University of Alcalá (UAH), as well as researchers from the Institut de Química Avançada de Catalunya (IQAC-CSIC), the University of Barcelona (UB), the Institute Ramón y Cajal of Health Research (IRYCIS), the Autonomous University of Barcelona (UAB), and the Fundació Eduard Soler.

Researcher Joaquin Martinez Tambella working in the laboratories of the Institute for Bioengineering of Catalonia (IBEC). Martinez is a PhD student at the Nanoprobes and Nanoswitches group at IBEC and co-first author of the study. [Institute for Bioengineering of Catalonia (IBEC).]
Researcher Joaquin Martinez Tambella working in the laboratories of the Institute for Bioengineering of Catalonia (IBEC). Martinez is a PhD student at the Nanoprobes and Nanoswitches group at IBEC and co-first author of the study. [Institute for Bioengineering of Catalonia (IBEC)]

The prosthe6 compounds work by acting on a specific type of retinal cells called ON bipolar cells, which normally receive signals from the photoreceptors. “In healthy vision, ON bipolar cells play a key role in passing on information about the presence of light to the rest of the visual circuit,” explained study co-lead de la Villa. “In degenerative eye diseases, although the photoreceptors are lost, much of this underlying circuitry remains intact but inactive. This creates a major therapeutic opportunity.”

By targeting a protein (mGlu6) in this preserved part of the retina, prosthe6 compounds can take over the role of the missing photoreceptors. “… we have targeted metabotropic glutamate 6 (mGlu6) receptors, which are exclusively expressed in ON bipolar cells (OBCs) and localized postsynaptic to PhR cells, thereby leveraging a privileged position to drive physiological visual circuit,” the investigators explained. When light enters the eye, the molecules respond by changing their shape, triggering signals inside the retina in a way that closely resembles natural vision. In this way, the drugs effectively act as “molecular prostheses,” helping the eye process light again without the need for implants or genetic modifications.

Healthy mice naturally prefer to remain in dark environments and instinctively avoid brightly lit areas, a behavior that relies entirely on a functional visual system. Blind mice, by contrast, lose this preference and move indistinctly between light and dark spaces, as they are unable to perceive light. The team showed that after treatment with prosthe6, blind mice once again showed a clear and spontaneous preference for dark areas, indicating that they could perceive light and use this information to guide their behavior.

This recovery occurred without any training and under light levels comparable to those found indoors or on an overcast day, demonstrating that the treatment restores functional light perception capable of driving natural, visually guided behavior.

Two lead compounds, prosthe6-12 and prosthe6-15, showed particularly promising results. The restored behaviors were observed not only after intraocular injection, but also after topical administration as eye drops. “… at least two compounds (prosthe6-12 and -15) appear to be devoid of adverse effects and restore sight by topical administration, which is linked to higher overall clinical success rate than systemic routes for neurological drugs, and to stronger patient adherence,” the investigators pointed out.

The prosthe6 technology is protected by patent and the researchers are now evaluating its safety and formulation to extend the duration of visual rehabilitation. The team is working with Eyelumina, a spin-off company in formation to secure investments that support translational development and future clinical trials.

“Turning this into a therapy is a long and laborious process,” says Gorostiza. “But the results show that there is a realistic possibility of restoring high-quality vision with drugs, non-invasively, reversibly and with a mechanism that is independent of the specific retinal disorder or genetic mutation to reach a majority of patients.”

If successful in humans, the drug-based approach would offer a widely accessible and affordable alternative to existing vision restoration technologies, especially relevant for patients with advanced retinal degeneration for whom no effective treatments currently exist.

In their paper the team further stated, “From a fundamental perspective, prosthe6 constitute new tools for ophthalmology to study the physiopathology of mGlu6 receptors and retinal circuits in vitro and in vivo and contribute to the medicinal chemistry of allosteric modulators. They also achieve the prediction that upstream targeted photopharmacology can deliver nearly native output signals, taking full advantage of the retinal circuit for high-quality vision restoration.”

The post See, Blind Mice: Consortium’s Drugs Restore Sight appeared first on GEN – Genetic Engineering and Biotechnology News.

A study on the relationship between research stress, research anxiety, research performance, and job satisfaction among Chinese healthcare professionals and its influencing mechanisms: a national multi-center survey

BackgroundChinese healthcare professionals face dual pressures from clinical duties and research activities, which may increase research-related anxiety and reduce job satisfaction. While occupational stress has been well studied, the mechanisms linking research stress to job satisfaction are unclear. Research performance may also play a key role, but its impact remains uncertain. This study explores the relationships between research stress, research anxiety, research performance, and job satisfaction, and identifies the pathways connecting these variables.MethodsA cross-sectional survey was conducted among healthcare professionals (nurses, physicians, and pharmacists) from eastern, central, and western regions of China to assess research-related conditions and job satisfaction (JS). Job satisfaction was measured using a modified validated scale. Research stress (RS), research anxiety (RA), and research performance (RP) were assessed using self-developed instruments. Structural equation modeling (SEM) was employed to perform path analysis and mediation analysis.ResultsA total of 924 healthcare professionals were included in the study. Over 85% reported working more than 40 hours per week, and 66.5% rated their health status as fair or poor. Regarding the types of research conducted by healthcare professionals, clinical research accounted for the highest proportion (63.2%), followed by basic science research (9.8%), while health services research and community-based research were relatively less common. The mean scores of JS, RS, RA, and RP were 3.40 ± 0.88, 2.56 ± 0.70, 2.34 ± 0.87, and 3.55 ± 0.82, respectively. Path analysis revealed that research stress was positively associated with research anxiety and negatively associated with both research performance and job satisfaction. Research anxiety was also negatively associated with research performance and job satisfaction, whereas research performance was positively associated with job satisfaction. Mediation analysis indicated that research stress was associated with job satisfaction both directly and indirectly through research anxiety and research performance.ConclusionsResearch stress is negatively associated with job satisfaction among healthcare professionals through increased research anxiety, whereas higher research performance is positively associated with job satisfaction. Hospitals and healthcare institutions should optimize the research environment, strengthen psychological support, and enhance research resource allocation to reduce research stress, improve research performance, and ultimately increase job satisfaction.

Academic burnout in higher education: a multimodal study of resting-state EEG microstate correlates beyond trait anxiety, depressive symptoms, and self-efficacy in Chinese undergraduates

BackgroundAcademic burnout is a mental-health-relevant outcome of higher-education stress, but its relationship with spontaneous brain dynamics remains unclear. EEG microstates are quasi-stable scalp-potential configurations indexing millisecond-level transitions between large-scale resting brain states. This study tested whether resting-state EEG microstate dynamics are associated with academic burnout beyond trait anxiety, depressive symptoms, and general self-efficacy as perceived coping capacity.MethodsParticipants were 330 Chinese undergraduates (94 men, 236 women; mean age = 18.31 years, SD = 0.84). They completed self-report measures and an eyes-closed resting-state EEG recording. Academic burnout total score was the primary outcome. Covariate-adjusted partial correlations examined burnout–microstate associations. Hierarchical regression tested the incremental value of selected microstate markers.ResultsHigher academic burnout was associated with higher trait anxiety (r = 0.539, p < 0.001), higher depressive symptoms (r = 0.526, p < 0.001), and lower general self-efficacy (r = -0.474, p < 0.001). After adjustment for age, sex, trait anxiety, depressive symptoms, and general self-efficacy, greater burnout was associated with shorter microstate D duration (partial r = -0.196, q = 0.0049), higher microstate C occurrence (partial r = 0.172, q = 0.0081), shorter mean microstate duration, and higher mean occurrence. The psychological block explained substantial variance in burnout (R² = 0.417); adding microstate D duration and microstate C occurrence produced a small but significant improvement in model fit (ΔR² = 0.025, p = 0.001). In a scale-midpoint sensitivity analysis, the higher-burnout group showed shorter class D duration after covariate adjustment (adjusted B = -3.38 ms, 95% CI [-6.12, -0.64], p = 0.016). Dimension-specific analyses indicated that microstate associations were mainly evident for dejection and low sense of accomplishment, not the behavioral (improper-behavior) component.ConclusionAcademic burnout in undergraduates was primarily linked to internalizing distress and lower perceived coping capacity. Resting-state EEG microstate dynamics, especially shorter class D duration, provided modest incremental information, suggesting reduced temporal persistence of a canonical resting-state configuration among students with higher burnout. These findings do not establish a diagnostic EEG marker or a burnout-specific neural mechanism, but support multimodal, context-sensitive research on academic stress and mental health in higher education.

Social talk in virtual spaces: an observational study of pragmatic communication in children with autism spectrum disorder during avatar-mediated interaction

IntroductionImmersive virtual environments offer organized social contexts for the observation of communication behaviors under standardized and interactive conditions. This study adopts a VR-based observational approach to examine pragmatic social communication behaviors exhibited during structured social scenarios in autistic children, with a specific focus on social reciprocity and context-appropriate verbal communication. MethodsThe study included twenty-five children between the ages of 5 and 12 who were diagnosed with Autism Spectrum Disorder (ASD). A structured social scenario was presented by the Virtual Reality (VR) system to elicit social communication behaviors, including greeting initiation and response, attention to speakers, turn-taking, and context-appropriate verbal responses. Social communication outcomes were assessed using selected domains of the Indian Scale for Assessment of autism (ISAA). In addition, the Social Communication Questionnaire (SCQ) and a VR-based Pragmatic Social Communication Observation Checklist (VR-PSCOC) were used to assess in-scenario behaviors. ResultsThe post-VR analysis revealed measurable changes across the assessed pragmatic social communication domains during repeated exposure to the VR scenarios. Variations were observed in the ISAA social-communication related domains, including speech-language, communication, and social relationship and reciprocity scores (p<0.001). Repeated VR exposure was associated with higher observational scores, indicating observable changes in social communication behaviors within the structured virtual environment. DiscussionThe findings indicate that the structured VR-based social scenarios provide a feasible environment for observing and characterizing social communication behaviors in children with ASD within controlled interaction settings.

Strategic Planning for a Digital Health Innovation Hub at a Saudi Academic Medical Center: Qualitative Case Study

Background: Rapid digital transformation is reshaping health care, but many digital initiatives struggle to deliver sustained organizational value when they are introduced as stand-alone technologies rather than as part of an institutional strategy. In Saudi Arabia, Vision 2030 has intensified pressure on academic medical centers to strengthen digital capability, localize innovation, and reduce dependence on externally driven solutions. Objective: This study aimed to examine organizational factors shaping digital health innovation at King Saud University Medical City (KSUMC) and to develop a preliminary strategic planning framework for a digital health innovation hub tailored to that setting. Methods: We conducted a qualitative exploratory case study at KSUMC between April and June 2025. Fourteen stakeholders from clinical, administrative, research, governance, educational, and innovation-related roles were recruited using maximum variation purposive sampling. Semistructured interviews were audio-recorded, transcribed verbatim, and analyzed using reflexive thematic analysis. Reporting was guided by the COREQ (Consolidated Criteria for Reporting Qualitative Research). Diffusion of innovation theory and systems thinking informed interpretation, while a context-actor-mechanism-outcome lens was used to examine how institutional conditions shaped innovation processes. No patient data were collected. Results: Five interrelated themes were identified. First, leadership support existed at a symbolic level, but middle-management translation and risk tolerance were inconsistent. Second, innovation was constrained by workload, fragmented systems, and weak operational support, which meant that project work was often treated as discretionary rather than embedded. Third, knowledge transfer and commercialization pathways were fragmented; participants repeatedly described unclear routes from idea generation to prototyping, regulatory review, and market engagement. Fourth, incentives and innovation capability were misaligned with institutional expectations, particularly for clinicians and trainees. Fifth, Vision 2030 created strategic legitimacy and momentum, but participants also cautioned that an overreliance on consultant-led or vendor-led approaches could weaken internal capability building. These findings informed a preliminary framework centered on governance, knowledge transfer, partnership structures, workforce development, and phased implementation rather than a validated institutional model. Conclusions: At KSUMC, digital health innovation is shaped not only by technology availability but also by organizational culture, intermediary structures, governance design, and the extent to which innovation work is made operationally feasible. The framework proposed here should therefore be understood as a preliminary planning model derived from one qualitative case study. Its main contribution is to specify how knowledge transfer, commercialization, and institutional capability building can be integrated into a digital health strategy within a Saudi academic medical center.
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enDigital Postpartum Support for Early Risk Identification Among Postpartum Women: Formative Randomized Evaluation and Exploratory Predictive Modeling Study

Background: The postpartum period represents a critical window for maternal health, yet many individuals lack sustained support and timely identification of physical and mental health risks. Digital health interventions offer a scalable approach to extend care beyond clinical settings. Yet, key elements, including real-world challenges, usability, and effectiveness of such platforms, are insufficiently characterized in this literature. Objective: This study aimed to conduct a formative randomized evaluation to assess the feasibility, engagement, and preliminary signals of impact of the Joyuus platform and to examine the potential for early identification of postpartum health risks. Methods: We conducted a 12-week randomized evaluation with postpartum participants recruited through community-based organizations. Participants were randomized to either the Joyuus intervention or standard postpartum care. Primary and secondary outcomes included the Barkin Index of Maternal Functioning, the Edinburgh Postnatal Depression Scale (EPDS), the State-Trait Anxiety Inventory, and the Connor-Davidson Resilience Scale. Analyses were conducted using an intention-to-treat approach with linear regression models adjusting for baseline values. Engagement metrics (ie, sessions, time on site, and feature use) were captured through in-app analytics. An exploratory predictive model was developed using baseline clinical, behavioral, and demographic variables to identify individuals at risk for postpartum depression. Results: Baseline characteristics were generally balanced across arms, and no statistically significant differences were observed in education, income, or marital status. No statistically significant differences were found between treatment and control groups in the 12-week changes for the primary or secondary outcomes. Mean EPDS scores were 9.7 in the intervention group and 9.3 in the control group. In the sample, 60 (45.5%) of the 132 participants met the criteria for elevated depression (EPDS score ≥11 or a positive response to question 10 on self-harm), indicating a high burden of symptoms within the study population. Engagement with the platform was highest during the first 4 weeks. Among intervention participants, 80% created an account. Participants reported high levels of perceived usefulness, ease of use, and relevance of content. Qualitative analysis of open-ended survey responses highlighted limited awareness of postpartum-specific resources and a preference for simple, accessible information. An exploratory predictive model demonstrated a recall of 0.89 and a precision of 0.73 in identifying individuals at risk for postpartum depression, suggesting the feasibility of early risk identification using integrated data inputs. Conclusions: Joyuus demonstrated feasibility and acceptability but did not produce statistically significant improvements in maternal functioning or maternal health outcomes over 12 weeks. Joyuus identified high rates of depressive symptoms and early engagement patterns, which suggest an opportunity for earlier identification of risk and intervention during the postpartum period. Exploratory modeling results indicate the potential for data-driven approaches to support earlier detection. Future work includes optimizing engagement strategies and expanding validation of predictive detection to improve postpartum surveillance and outcomes. Trial Registration: ClinicalTrials.gov NCT05876559; https://clinicaltrials.gov/study/NCT05876559?cond=postpartum%20joyuus&viewType=Card&rank=1

Blood Test Foresees Decline into Alzheimer’s Disease

A blood-based biomarker could predict a person’s risk of developing Alzheimer’s disease years before any symptoms arise, research suggests.

Plasma levels of phosphorylated tau 217 (p‑tau217) may one day help identify at-risk individuals before overt signs of dementia, enabling the pre-emptive use of disease-modifying therapies.

Higher plasma p‑tau217 levels were associated with a greater risk of progressing to cognitive impairment in previously unaffected older adults, and they also predicted faster levels of decline.

The research findings appear in JAMA and were simultaneously presented this week at the annual Alzheimer’s Association International Conference in London.

“In this longitudinal study of several selected cohorts, plasma p-tau217 provided long-term prognostic information for individuals who were cognitively unimpaired at baseline, laying the groundwork for possible future development of individualized risk prediction scores,” proposed Rachel Buckley, PhD, from Mass General Brigham, and co-workers in their published work.

“By providing absolute risk estimates of progression to cognitive impairment, this article moves the field closer to presymptomatic risk stratification with p-tau217, supporting trial design.”

The large, pooled multicohort study included 2684 cognitively unimpaired older adults from six longitudinal studies, who were followed for a median of 5.4 years. Their median age was just short of 70 years, and 63% were women.

Results showed that higher baseline p-tau217 was significantly associated with an increased risk of progression to cognitive impairment during up to 13.5 years of follow up, with a hazard ratio of 1.38 per standard deviation (SD) increase.

This remained significant after accounting for age, sex, education, apolipoprotein E ε4 status, cohort, as well as amyloid positron emission tomography—known to accurately detect Alzheimer’s disease brain pathology.

The researchers report that the absolute risk of cognitive decline at five years was “meaningfully elevated” in the group with very high p-tau217 levels (≥2.5 SD) at 38%, versus just 12% in group with low levels.

Estimated 10-years risks were substantially higher at between 40% and 78% for the low and high p-tau217 groups, respectively. However, just 139 participants—or one in every 20—were followed up for at least a decade and the researchers say these risk estimates should be treated with caution.

Elevated p-tau217 was also associated with faster decline on the harmonized latent Preclinical Alzheimer Cognitive Composite assessment tool.

In an editorial accompanying the published study, Suzanne Schindler, PhD, from Washington University in St Louis school of medicine, and David Wolk, MD, from the University of Pennsylvania, note that cognitive impairment likely reflected multiple etiologies, not just Alzheimer’s disease.

“Indeed, even the low p-tau217 group, in which Alzheimer disease pathology was minimal or absent, still had a 12% risk of progression to cognitive impairment at five years, suggesting the importance of other drivers of cognitive decline in this population and the likelihood that in the higher p-tau217 groups, some proportion of individuals who declined may have primarily been driven by other processes,” they pointed out.

“Notably, discordance between plasma p-tau217 and amyloid PET (especially at intermediate or low amyloid levels) highlights that biomarkers beyond p-tau217 could further improve risk prediction.”

Nonetheless, overall they summarized: “The study by Buckley et al. represents a significant advance. It demonstrates that plasma p-tau217 can provide a time-specific absolute risk estimate for development of cognitive impairment.”

The post Blood Test Foresees Decline into Alzheimer’s Disease appeared first on Inside Precision Medicine.

Verbal fluency after cochlear implantation: a longitudinal comparison with untreated hearing loss in the ELSA cohort

IntroductionHearing loss is associated with accelerated cognitive decline, and auditory rehabilitation via cochlear implantation (CI) may mitigate this trajectory. In the past, the impact of cochlear implantation on different cognitive subdomains has been described. However, verbal fluency (VF), which requires fast semantic retrieval, executive control, and processing speed, and is predictive of dementia risk and overall survival, has been rarely studied and control groups are mostly missing due to ethical reasons. The present study compares long-term VF trajectories in CI recipients and untreated hearing-impaired controls from a large population-based aging study.Materials and methodsVF was assessed in 74 CI recipients (M = 65.6 years, SD = 9.1) at pre-operative baseline and 1, 2, 4.5, and up to 9 years post-implantation, and in 383 untreated hearing-impaired participants (M = 72.6 years, SD = 10.0) from the English Longitudinal Study of Ageing (ELSA) across a comparable time frame. Scores were z-standardized within each study to enable cross-cohort comparison. Linear mixed-effects models were used to compare VF trajectories, with age, sex, and education as covariates.ResultsVF trajectories differed significantly between groups (Time × Study interaction: b = 0.562, p < 0.001). The ELSA cohort showed a steady linear decline over time (b = −0.261, p = 0.001), whereas the CI cohort exhibited an inverted-U trajectory with initial improvement followed by a plateau. After propensity score matching, results remained robust.ConclusionCochlear implantation is associated with more favorable long-term verbal fluency trajectories compared to untreated hearing loss. These findings add to the growing evidence that auditory rehabilitation may help preserve cognitive function in older adults.