Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label NO plan. Show all posts
Showing posts with label NO plan. Show all posts

Friday, July 24, 2026

Superagers' Exceptional Memory Can't Be Explained by Genes Alone, Study Finds

 How EXACTLY is your competent? doctor ENSURING  you become a superager? NO plan IS PURE INCOMPETENCE!

Superagers' Exceptional Memory Can't Be Explained by Genes Alone, Study Finds

Inherited Alzheimer's risk didn't differ between superagers and cognitively average older adults

Key Takeaways

  • Superagers are a group of people age 80 or older with episodic memory at least as good as adults 20 or 30 years younger.
  • Why superagers have exceptional memory still isn't clear after two decades of research.
  • This study showed that inherited Alzheimer's risks didn't differ between superagers and cognitively average controls, suggesting genes alone do not account for differences.

Exceptional memory at age 80 and beyond was not due simply to good genes, an analysis of prospective data suggested.

The study assessed outcomes for superagers -- people 80 or older with episodic memory at least as good as adults 20 or 30 years younger -- and cognitively average controls.

Genotype distributions and APOE status did not differ between groups, reported Ignazio Stefano Piras, PhD, of the Translational Genomics Research Institute at City of Hope in Phoenix, and co-authors.

Neither APOE nor any of three polygenic risk scores predicted whether a person would be a superager, Piras and colleagues wrote in Alzheimer's Research & Therapy. Results were similar after accounting for global non-European or African ancestry.

"For many years, aging research has focused on identifying factors that increase the risk of disease," Piras said in a statement. "Those studies are critically important, but the absence of risk factors does not necessarily mean someone possesses the protective factors that support exceptional brain health. This study helps demonstrate that distinction."

Alzheimer's disease is associated with the APOE gene, with APOE4 increasing risk and APOE2 generally conferring protection. Research has shown that superagers have a lower frequency of APOE4 and higher frequency of APOE2 alleles compared with other older adults.

Two decades of research have identified biological and social characteristics associated with superagers: they maintained good brain morphology, tended to be gregarious, and appeared to be resistant to neurofibrillary degeneration and resilient to its consequences. Unlike neurotypical peers, superagers had a region in the cingulate gyrus that was thicker than younger adults. They had fewer Alzheimer's-related brain changes, greater size of entorhinal neurons, fewer inflammatory microglia in white matter, and better-preserved cholinergic innervation.

But an underlying question remained: Could superagers simply be people with little genetic risk for Alzheimer's?

"If that were true, identifying superagers might be as simple as performing genetic testing rather than the comprehensive cognitive evaluations we currently use," said co-author Emily Rogalski, PhD, of the Healthy Aging and Alzheimer's Research Care Center at the University of Chicago.

To test whether a lower inherited risk of Alzheimer's disease dementia predicted superager status, Piras and colleagues studied prospectively enrolled superagers and cognitively average controls from the SuperAging Research Initiative. They assessed APOE2, APOE3, and APOE4 status and three Alzheimer's disease polygenic risk scores derived from large contemporary genome-wide association studies.

At enrollment, participants were age 80 or older, had no neurologic disorders known to affect cognition, and had no significant uncontrolled medical conditions. They were classified as superagers or controls based on a priori cognitive criteria that included exceptional episodic memory performance. All superagers and controls had a Clinical Dementia Rating score equal to zero, indicating no clinical impairment in either group.

The study included 142 superagers and 89 controls from five regional sites in the U.S. and Canada. Superagers had a mean age of 83.7 years and controls had a mean age of 84.7. The genetic ancestry structure across both groups was comparable.

Groupwise comparisons of APOE status did not differ significantly between superagers and controls. In models adjusted for age, sex, and years of education, APOE2, APOE3, and APOE4 allele status were not associated with odds of superager classification. Proportions of participants with at least one APOE2 allele (superagers 12.7% vs controls 13.1%) or at least one APOE4 allele (superagers 15.7% vs controls 19.0%) were similar across groups.

None of the three Alzheimer's disease polygenic risk scores -- PRSLambert, PRSWightman, or PRSBellenguez -- were associated with odds of superager classification. An analysis of rare protective variants including the APP Icelandic variant, the PLCG2 P552R variant, and the APOE Christchurch variant identified one heterozygous superager carrying the PLCG2 P522R variant in the study. No other rare mutation carriers were seen in either the superager or control group.

While APOE allele frequencies and polygenic risk scores did not distinguish superagers from cognitively average older adults, both groups differed meaningfully from individuals with Alzheimer's disease, who are more likely to have these genetic risk factors, Piras and co-authors noted.

"This pattern indicates that lower inherited Alzheimer's disease risk at the group level is a shared feature of successful cognitive aging into advanced age, but it is not sufficient to explain the exceptional memory performance that defines the superaging phenotype," they stated.

The study's limitations included modest power for small genetic effects, the researchers acknowledged. The analyses did not incorporate vascular, lifestyle, or behavioral factors, which may contribute to superaging and represent an important direction for future research, they added.

Sunday, January 26, 2025

Brain connectivity, neural networks, and resilience in aging and neurodegeneration

How will your competent? doctor fix all these problems from your stroke?

Neuronal loss, neuroinflammation, protein accumulation, axonal disruptions, and metabolic stress.

NO PLAN AT ALL? So, your doctor is going to leave you disabled and still get paid for such incompetence?

Brain connectivity, neural networks, and resilience in aging and neurodegeneration

https://doi.org/10.1016/j.ajpath.2024.12.014
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ABSTRACT

The importance of complex systems has become increasingly evident in recent years. The nervous system is one such example with neural networks sitting at the intersection of complex networks and biology. A particularly exciting feature is the resilience of complex systems. For example, the ability of the nervous system to perform even in the face of challenges(HOW WILL YOUR COMPETENT? DOCTOR ENSURE THIS WILL OCCUR?)that include neuronal loss, neuroinflammation, protein accumulation, axonal disruptions, and metabolic stress is an intriguing and exciting line of investigation. In neurodegenerative diseases, neural network resilience is responsible for the time between the earliest disease-linked changes and clinical symptom onset and disease diagnosis. In this way, connectivity resilience of neurons within the complex network of cells that make up the nervous system has significant implications. This review provides an overview of relevant concepts related to complex systems with a focus on the connectivity of the nervous system. It discusses the development of the neural network and how a delicate balance determines how this complex system responds to injury with examples illustrating maladaptive plasticity. The review then addresses the implications of these concepts, methods to understand brain connectivity and neural networks, and recent research efforts aimed at understanding neurodegeneration from this perspective. The authors aim to provide foundational knowledge and an overview of current research directions in this evolving and exciting area of neuroscience.

Monday, January 13, 2025

Brain Connectivity Patterns Link Vascular Disease to Cognitive Decline

 How will your competent? doctor EXACTLY PREVENT THIS POST STROKE? NO plan? So, you don't have a functioning stroke doctor, do you?

Brain Connectivity Patterns Link Vascular Disease to Cognitive Decline

Summary: Researchers have identified how cerebrovascular disease (CeVD) disrupts brain connectivity, contributing to cognitive decline and neurodegeneration alongside Alzheimer’s disease (AD). By studying brain networks and blood biomarkers in older adults, they discovered distinct but additive effects of CeVD and AD-related markers on cognition and brain atrophy. CeVD acts as a global disruptor of brain communication networks, while AD markers, such as plasma p-tau181, follow separate pathways.

These findings emphasize the potential of combining neuroimaging and blood biomarkers for early detection and monitoring of dementia(Useless! Where is the prevention protocol? Oh, you incompetently haven't done that research?). The study provides new insights into the independent roles of CeVD and AD in driving cognitive and structural brain changes. Future research aims to refine brain connectivity markers for earlier predictions and targeted interventions.

Key Facts:

  • Dual Pathways: CeVD and AD markers independently and additively affect cognition and brain atrophy but do not synergize.
  • Brain Connectivity Impact: CeVD disrupts global brain network communication, influencing cognitive decline.
  • Predictive Biomarkers: Neuroimaging and blood-based markers show promise for early dementia risk assessments.

Source: NUS

Researchers have uncovered novel insights into how brain function disruptions related to cerebrovascular disease (CeVD) interact with Alzheimer’s disease (AD) pathology to impact neurodegeneration and cognition in older adults.

Led by Associate Professor Juan Helen Zhou, Director of the Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine), the research team revealed a brain functional connectome phenotype that is related to multiple CeVD markers and contributes additively to cognitive decline and neurodegeneration alongside AD.

This shows a brain.
While the two factors contributed additively to longitudinal cognitive decline and brain atrophy, the study found no evidence of a synergistic relationship between CeVD and p-tau181, suggesting that these factors may influence neurodegeneration in distinct pathways. Credit: Neuroscience News

The study highlights CeVD as a global disruptor of brain connectivity, reshaping our understanding of its role in dementia.

CeVD, often co-occurring with AD, has long been a significant area of study in ageing and dementia research. It refers to a group of conditions that affect the blood vessels and blood flow in the brain, such as stroke, cerebral atherosclerosis (narrowing or hardening of larger brain arteries due to plaque buildup), and small vessel disease that affects the tiny blood vessels in the brain.

These conditions can lead to brain damage by disrupting the delivery of oxygen and nutrients, which are essential for normal brain function.

In the study, published in Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, the team  examined the brain’s functional organisation in 529 older adult participants across the dementia spectrum, ranging from those with healthy cognition to individuals diagnosed with AD.

Analyzing how the different markers of CeVD and brain activity patterns correlate with affecting the participants, the team identified a global functional connectome phenotype, or a unique pattern in the brain’s communication network, that is strongly associated with high levels of the burden of four markers of CeVD seen on brain scans.

A key finding of the study was the identification of divergent effects of p-tau181, a blood-based biomarker for AD, and CeVD-related functional connectome phenotype on cognitive decline and brain atrophy.

While the two factors contributed additively to longitudinal cognitive decline and brain atrophy, the study found no evidence of a synergistic relationship between CeVD and p-tau181, suggesting that these factors may influence neurodegeneration in distinct pathways.

A/Prof Zhou said, “We discovered that a CeVD-related brain network phenotype, along with a key Alzheimer’s disease blood biomarker, can provide powerful insights into the future trajectory of cognitive decline and neurodegeneration.

“Our findings highlight the potential of brain connectome-based markers to track cognitive decline, particularly for individuals at-risk for dementia, and underscore the importance of integrating neuroimaging and blood biomarkers to better understand the pathophysiology of these co-occurring diseases.”

Dr Joanna Su Xian Chong, senior research fellow from A/Prof Zhou’s group, who is also first author of the study, added, “This pattern shows how the burden of multiple cerebrovascular disease markers can collectively exert widespread influences on brain function.

“Importantly, the combination of this pattern linked to CeVD and plasma p-tau181, a marker of Alzheimer’s disease, had independent and additive effects on long-term outcomes.

“Together, they contributed to cognitive decline and increased brain atrophy at baseline and over time, but did not interact directly to amplify each other’s effects.”

Both A/Prof Zhou and Dr Chong are also from the Centre for Sleep and Cognition and Healthy Longevity & Human Potential Translational Research Programmes at NUS Medicine.

Moving forward, the team aims to explore how the brain communication pattern linked to CeVD is affected by the severity, cause, and location of CeVD markers throughout the progression of the disease.

They also plan to investigate how this pattern interacts with different AD markers to contribute to brain degeneration and decline in multiple cognitive domains. Additionally, they aim to determine if these brain network features can be used as a reliable biomarker to monitor current and future cognitive decline, particularly in individuals at risk for dementia.

These features could offer more precise predictions than traditional brain imaging methods and help identify long-term cognitive outcomes earlier.

Their goal is to better understand the brain mechanisms behind CeVD and AD to develop advanced imaging tools for early detection and disease monitoring.

Funding: This research is supported by the National Research Foundation, Singapore under the NMRC Open Fund – Large Collaborative Grant (MOH-000500) and administered by the Singapore Ministry of Health through the NMRC Office, MOH Holdings Pte Ltd. 

Participants for the study were recruited from the National University Hospital and St Luke’s Hospital.

About this neuroscience research news

Author: Gladys Sim
Source: NUS
Contact: Gladys Sim – NUS
Image: The image is credited to Neuroscience News

Original Research: Open access.
Additive effects of cerebrovascular disease functional connectome phenotype and plasma p-tau181 on longitudinal neurodegeneration and cognitive outcomes” by Juan Helen et al. Alzheimer’s & Dementia