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 post stroke depression. Show all posts
Showing posts with label post stroke depression. Show all posts

Monday, October 5, 2026

Comparative evaluation of diffusion models for detecting gray matter microstructural alterations in post-stroke depression patients

 Useless! What you should be doing is creating EXACT 100% recovery protocols, thus preventing depression the correct way! No need to treat this secondary problem if you were to solve the primary problem of 100% recovery! Don't understand that? Get the hell out of stroke! A hell of a lot of mentors and senior researchers need to be removed!

Comparative evaluation of diffusion models for detecting gray matter microstructural alterations in post-stroke depression patients


  • F

    Fang Zhang

  • J

    Jing Zhang

  • L

    Lei Zhang

  • H

    Hengjun Jin

  • D

    Daqing Li

  • Wei Zhao

    Wei Zhao *

  • Department of Radiology, Huaibei People's Hospital, Huaibei, Anhui, China

Abstract


Background: 


Post-stroke depression (PSD) is often underdiagnosed because its gray matter microstructural abnormalities can be subtle.(This is incredibly easy! One question! Are you fully recovered? Y/N? No would likely mean is depressed! You are totally overthinking this.) This study compared four diffusion models (DTI, DKI, MAP, and NODDI) to identify objective imaging biomarkers for the early detection of PSD.


Methods: 

Sixty-four participants were enrolled, including 23 age- and sex-matched healthy controls (HC), 26 patients with acute cerebral infarction without PSD (non-PSD; HAMD-21 < 7), and 15 patients with PSD (HAMD-21 ≥ 7). Clinical assessments (HAMD-21, ADL, MoCA, and MMSE) and diffusion spectrum imaging were performed. Intergroup differences in gray matter microstructure, diagnostic performance based on the area under the curve (AUC), and partial correlations adjusted for age, sex, and years of education were analyzed. Infarct location was not included as a covariate.


Results: 


Significant differences among the three groups were observed in age, years of education, and all clinical scale scores (p < 0.05). Altered gray matter microstructure was primarily identified in the middle frontal gyrus, posterior cingulate gyrus, paracingulate gyrus and amygdala. For group discrimination, the left anterior cingulate DKI MD_p10 demonstrated the best performance for distinguishing HC from non-PSD (AUC = 0.916). The left putamen NODDI ODI_p10 showed the highest AUC (0.916) for distinguishing HC from PSD, whereas the left putamen NODDI ODI_p50 yielded the highest AUC (0.856) for distinguishing non-PSD from PSD. After FDR correction, multiple diffusion metrics were significantly correlated with MMSE and MoCA scores, whereas no imaging parameter showed a significant correlation with HAMD-21.


Conclusion: 


Multimodal diffusion MRI detects microstructural abnormalities within emotion- and cognition-related circuits, particularly the amygdala and cingulate cortex, across the three groups. Temporolimbic NODDI parameters showed relatively higher AUC values in distinguishing PSD from HC, whereas anterior cingulate DKI metrics showed relatively higher AUC values in differentiating non-PSD stroke patients from HC. Combining multiple diffusion models may aid in the identification of PSD; however, these findings require further validation because infarct location was not adjusted for in the analyses.

Monday, September 21, 2026

Identifying key predictors of post-stroke depression and cognitive impairment in acute stroke survivors

 Predictions are useless! Both of these are solved by EXACT 100% RECOVERY PROTOCOLS! Solve the correct problem! I'd have you all fired for incompetence!

And the commentors on this need to be fired also for missing the real problem; lack of 100% recovery protocols!

Commentary: Identifying key predictors of post-stroke depression and cognitive impairment in acute stroke survivors 

The latest here:

Identifying key predictors of post-stroke depression and cognitive impairment in acute stroke survivors


  • 1. Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

  • 2. Chongqing Key Laboratory of Neurobiology, Institute of Neuroscience, Chongqing Medical University, Chongqing, China

Abstract


Background: 


Post-stroke depression (PSD) and post-stroke cognitive impairment (PSCI) are prevalent complications in aging stroke survivors and are often overlooked due to the lack of early diagnostic indicators, leading to poor prognosis. Identifying reliable predictors is crucial for timely intervention.


Methods: 


This prospective cohort study followed 78 acute stroke survivors for 6 months. A composite neuropsychological outcome—defined as the development of PSD and/or PSCI—was determined using the Diagnostic and Statistical Manual of Mental Disorders-5th Edition (DSM-5) and NINDS-CSN criteria. To account for the limited sample size, multivariable Firth’s penalized logistic regression was employed to identify independent predictors, generating robust odds ratios (ORs) and 95% confidence intervals (CIs). An exploratory classification and regression tree (CART) analysis was also conducted for hypothesis generation.


Results: 


The final cohort comprised 78 acute ischemic stroke survivors with a median age of 62 years (IQR 51–71). Among these participants, 26.0% were women, and the median admission score on the National Institutes of Health Stroke Scale (NIHSS) was 3 (IQR 1–5). Within 6 months, 56 patients (71.8%) developed the composite outcome (13 experienced PSCI alone, 24 had PSD alone, and 19 had both conditions). A multivariable analysis revealed that right hemisphere lesions (OR = 9.019, 95% CI: 1.329–61.213, p = 0.016), greater baseline emotional distress (higher 9-item Patient Health Questionnaire (PHQ-9) scores; OR = 5.157, 95% CI: 1.835–14.494, p < 0.001), and pre-existing cognitive vulnerability (lower Mini–Mental State Examination (MMSE) scores; OR = 0.714, 95% CI: 0.517–0.984, p = 0.023) were independent predictors of poor neuropsychological outcomes. Advanced age (p = 0.094) and elevated urea levels (p = 0.095) showed only marginal trends. Exploratory CART modeling highlighted the hierarchical interaction of these baseline clinical scores for risk stratification.


Conclusion: 


Right hemisphere lesions, early emotional distress, and baseline cognitive vulnerability independently predicted a high risk of composite neuropsychological impairment at 6 months post-stroke. Rather than serving merely as novel biomarkers, high baseline PHQ-9 scores and low MMSE scores reflected the persistence of early distress and poor cognitive reserve, respectively. These highly accessible clinical parameters facilitate early risk stratification, emphasizing the absolute need for immediate psychological triage and integrated, long-term cognitive-emotional monitoring.

Wednesday, September 16, 2026

Blood Protein Linked to Lower Risk of Depression and PTSD After Traumatic Brain Injury

 Your incompetent? doctor and hospital won't get stroke testing going, will they? 

And all this earlier research should have created protocols;
  • NMDAR (8 posts to November 2012)

Blood Protein Linked to Lower Risk of Depression and PTSD After Traumatic Brain Injury

Summary: Individuals with high baseline circulating levels of naturally occurring anti-NMDAR1 antibodies had a 25% lower risk of developing post-deployment depressive symptoms and a 22% lower risk of PTSD symptoms following a lifetime history of TBI.

Mechanistic mouse models revealed that antibody isotype size drives functional divergence: while small IgG isotypes penetrate synaptic clefts and impair memory (as seen in anti-NMDAR encephalitis), large, naturally occurring IgM isotypes selectively block extrasynaptic NMDA receptors that mediate excitotoxic injury after TBI, providing long-lasting neuroprotection.

Key Facts:

  • Psychiatric Resilience Biomarker: Active-duty Marines in the highest quartile for circulating anti-NMDAR1 antibodies exhibited 25% lower depression scores and 22% lower PTSD symptom scores following TBI compared to those in the lowest quartile.
  • Symptom-Specific Protection: Higher antibody levels protected against moderate-to-severe depression and PTSD and correlated with lower post-deployment psychiatric medication use, but showed no association with generalized anxiety symptoms.
  • Long-Term Serum Stability: Anti-NMDAR1 antibodies remained detectable in serum for over 12 months, indicating that elevated expression functions as an enduring biological trait rather than a transient acute-phase reaction.
  • Isotype Size Determines Pathology vs. Protection: Preclinical experiments showed that small IgG antibodies enter the synaptic cleft, driving cognitive dysfunction similar to autoimmune encephalitis. In contrast, larger IgM isotypes cannot fit into the synapse and instead bind to outer, extrasynaptic NMDA receptors.
  • Inhibition of Excitotoxic Injury: Traumatic brain injury triggers pathological glutamate release that hyperactivates extrasynaptic NMDA receptors, causing secondary neuronal injury. By shielding these extrasynaptic sites, large IgM antibodies blunt excitotoxic cascades in a manner analogous to long-acting ketamine.

Source: UCSD

Every year, an estimated 20 million people worldwide sustain a concussion or other traumatic brain injury (TBI), which leads to a two- to four-fold increase in the risk of depression, anxiety and post-traumatic stress disorder (PTSD). Yet not everyone who experiences a TBI goes on to develop psychiatric symptoms.

Now, researchers at University of California San Diego School of Medicine and Veterans Affairs San Diego Healthcare System have identified an antibody (immune system protein) that could make people more resilient to these conditions.

They found that active-duty U.S. Marines with higher levels of the naturally-occurring anti-NMDAR1 antibody had a significantly lower risk of developing depression and PTSD symptoms following a TBI than those with lower levels of the antibody.

Anti-NMDAR1 targets NMDA receptors, key proteins responsible for storing new information and forming memories in the brain. The antibody is known to be involved in a rare brain disease called anti-NMDAR encephalitis, leading to memory deficits and neurological distress among other symptoms.

However, the study, published in Molecular Psychiatry, provides evidence that natural anti-NMDAR1 may act differently and serve a protective role in the brain.

The researchers analyzed blood samples and clinical psychiatric assessments collected from 1,025 Marines before and after a seven-month combat deployment to Afghanistan between 2011 and 2013. They found:

  • Among participants with a lifetime history of TBI, those in the top quarter for natural anti-NMDAR1 antibody levels had about 25% lower depression symptom scores and 22% lower PTSD symptom scores after deployment than those with lower levels.
  • These participants were also significantly less likely to report moderate-to-severe depression and they used fewer psychiatric medications after returning from deployment.
  • These antibodies were detectable in blood for more than one year, suggesting that having high levels of these antibodies could be a relatively long-term trait.
  • No association was found between anti-NMDAR1 levels and anxiety, suggesting these antibodies are associated with specific kinds of psychiatric symptoms.

The analysis was part of the Marine Resiliency Study II, a long-term research project investigating the factors that contribute to heightened risk for — or resilience to — PTSD.

“We were excited to find that a naturally-occurring immune marker could act almost like a built-in protective factor against some of the most disabling consequences of brain injury,” said co-senior author Victoria B. Risbrough, PhD, professor and vice chair of academic affairs in the Department of Psychiatry at UC San Diego School of Medicine and VA Research Career Scientist at VA San Diego Healthcare System. “If we can understand how these antibodies work, it may open a new path toward identifying who is most at risk after a TBI, and eventually, toward new ways to intervene.”

One hypothesis for the antibody’s protective effect is that natural anti-NMDAR1 antibodies found in Marines are of a type called IgM, which are too large to fit into synapses — the tiny gaps between brain cells where chemical signals are transmitted. Instead, this version may only latch on to receptors outside of that gap. Because these outer receptors are primary drivers of brain damage after a TBI, being blocked by IgM anti-NMDAR1 may shield the brain from further injury.

In a previous study, the research team tried to mimic psychiatric symptoms of human anti-NMDAR encephalitis in mice. They found that the mice carrying anti-NMDAR1 antibodies in their blood exhibited impaired cognitive function. However, their antibodies were of a much smaller “IgG” version than the naturally-occurring IgM antibodies found in Marines — small enough, in fact, to fit into the synaptic gaps. There is evidence that the smaller IgG version of anti-NMDAR1 may cause memory deficits in humans.

“We suspected that size difference determines whether an antibody reaches the receptors involved in brain injury versus the ones needed for everyday brain function,” said co-senior author Xianjin Zhou, associate professor of psychiatry at UC San Diego School of Medicine and faculty member at VA Mental Illness Research and Clinical Center. “When we tested that idea directly in mice, it held up: the smaller IgG antibodies impaired memory, while the larger IgM antibodies appeared to protect it.”

Ketamine, an FDA-approved treatment for depression and PTSD, is thought to work by blocking the same type of receptor, But unlike ketamine’s short-lived effects, naturally-occurring anti-NMDAR1 appears to persist in the blood for a year or longer.

However, the authors caution that these findings are correlational, and more research needs to be done to determine if natural anti-NMDAR1 antibodies truly play a protective role following TBI.

Additional co-authors on the study include: Melonie N. Vaughn, Jenna M. DeWit and Dewleen Baker at  UC San Diego; Dean T. Acheson, Susan B. Powell, Caroline M. Nievergelt at UC San Diego and VA San Diego Healthcare System; and Kate A. Yurgil at Loyola University. Disclosures: Zhou is the inventor on a provisional patent filing by the University of California San Diego.

Funding: The study was funded, in part, by the National Institutes of Health (grant R01NS135620) and the U.S. Department of Veterans Affairs.

Wednesday, September 9, 2026

Early prediction of post-stroke depression using polysomnography parameters: a prospective cohort study

 Competent persons would research preventing depression by have EXACT 100% RECOVERY PROTOCOLS! But there seems to be no functioning brains anywhere in stroke! Not solving stroke is the absolute stupidity out there! Your comeuppance/screaming when you are the 1 in 4 per WHO that has a stroke  will be soul satisfying. 

Early prediction of post-stroke depression using polysomnography parameters: a prospective cohort study

  • 1. Department of Child Psychiatry, Shaoxing Seventh People’s Hospital, Affiliated Mental Health Center, Shaoxing University, Shaoxing, Zhejiang, China

  • 2. Department of Neurology, Shaoxing People’s Hospital, The First Affiliated Hospital, Shaoxing University, Shaoxing, Zhejiang, China

Abstract

Background: 


Post-stroke depression (PSD) affects approximately one-third of stroke survivors and significantly impacts functional recovery. This study aimed to develop and validate a prediction model for PSD using polysomnography (PSG) parameters combined with clinical characteristics.


Methods: 


We conducted a prospective cohort study enrolling 437 acute ischemic stroke patients who underwent PSG assessment within 7 days of stroke onset between January 2022 and December 2024. The primary outcome was PSD at 3-month follow-up, defined as Patient Health Questionnaire-9 (PHQ-9) score ≥10. Multivariate logistic regression identified independent predictors, and machine learning algorithms were compared for model performance.


Results: 


Among 390 patients completing follow-up, 139 (35.6%) developed PSD. Independent predictors included sleep latency (OR = 2.14, 95% CI: 1.68–2.73), arousal index (OR = 2.13, 95% CI: 1.65–2.94), sleep efficiency (OR = 0.74, 95% CI: 0.55–0.96), heart rate variability RMSSD (OR = 0.77, 95% CI: 0.61–0.96), NIHSS score (OR = 1.35, 95% CI: 1.04–1.76), and prior stroke history (OR = 1.35, 95% CI: 1.09–1.71). The gradient boosting model achieved the highest discriminative performance (AUC = 0.763; bootstrap-validated AUC = 0.738, 95% CI: 0.682–0.794). Risk stratification demonstrated a five-fold gradient in PSD rates across probability categories (14.3 to 70.3%).


Conclusion: 


PSG parameters, particularly sleep efficiency, sleep latency, and arousal index, are significant independent predictors of PSD. Integrating objective sleep assessment into early stroke management may facilitate identification of high-risk patients for targeted preventive interventions.


More at link.

Tuesday, September 8, 2026

Neuroscientists identify a silent memory killer hiding in plain sight for older adults

 Don't get sucked into hopelessness, depression and anxiety just because your FUCKINGLY INCOMPETENT? DOCTOR knows nothing about your 100% recovery!  You doctor somehow missed the recovery protocol that Pedro Bach-y-Rita  used to recover fully back in 1958 with only a partial brain! But you don't have anyone COMPETENT AT ALL, DO YOU?

Neuroscientists identify a silent memory killer hiding in plain sight for older adults

A new study links internalized stress and hopelessness to faster memory decline.

A new study finds that suppressed emotions may accelerate memory loss in older Americans, with researchers noting that cultural pressures and stereotypes often leave these emotional struggles unrecognized and untreated.

According to new research from Rutgers Institute for Health, Health Care Policy and Aging Research, internalized stress may be silently raising the risk of memory loss specifically in older Chinese Americans.

“With the number of older Asian Americans growing significantly, it’s vital to better understand the risk factors of memory decline in this understudied population,” Michelle Chen, PhD, the study’s principal investigator and a core member of the Center for Healthy Aging Research at Rutgers, told Science Daily.

Many older immigrants contend with persistent stressors like language barriers and cultural differences. While this study focused specifically on Chinese Americans, the researchers say its findings may resonate across other older communities facing similar pressures.

To examine these effects, the team analyzed data from the Population Study of Chinese Elderly (PINE)—the largest community-based cohort study of older Chinese Americans—which included interviews with more than 1,500 Chicago-area participants spanning from 2011 to 2017.

Related video: Everyday stress could be affecting your brain health (WCNC-TV Charlotte) 


The researchers looked at stress internalization, neighborhood cohesion, and external stress alleviation as key sociobehavioral factors, but only internalized stress emerged as strongly tied to memory decline. Marked by feelings of hopelessness and a tendency to absorb rather than express stress, it showed a consistent link to worsening memory across three waves of the PINE study. “Stress and hopelessness may go unnoticed in aging populations, yet they play a critical role in how the brain ages,” said Chen. “Because these feelings are modifiable, our goal is for this research to inform culturally sensitive stress-reduction interventions to mitigate these feelings in older adults.” The researchers noted that cultural expectations may also be influencing these outcomes. The model minority stereotype that casts Asian Americans as universally successful, educated, and healthy can add pressure while simultaneously obscuring emotional struggles, they wrote Older immigrants across many communities navigate the intersection of cultural identity, social isolation, and unaddressed emotional strain, often with limited access to culturally competent mental health support. The findings point to a meaningful opportunity: By addressing internalized stress through culturally sensitive, targeted strategies, it may be possible to protect both emotional well-being and cognitive health in aging immigrant populations.

Wednesday, September 2, 2026

Correlations of systemic immune-inflammation index and systemic inflammation response index with the risk for early-onset post-stroke depression in patients with minor stroke: a prospective observational study

 Why this useless research when you should be creating EXACT 100% RECOVERY PROTOCOLS! That would prevent depression! And you are so blitheringly stupid you can't see that?

Correlations of systemic immune-inflammation index and systemic inflammation response index with the risk for early-onset post-stroke depression in patients with minor stroke: a prospective observational study


  • 1. Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China

  • 2. Department of Neurology, The Second People’s Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, Hunan, China

Abstract

Background: 


Inflammation plays a pivotal role in the pathophysiology of post-stroke depression (PSD). However, the relationship between novel systemic inflammatory indices-the systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI)-and early-onset PSD remains inadequately explored.


Methods: 


Early-onset PSD was diagnosed 2 weeks after acute ischemic stroke (AIS). Depression severity was assessed using the 17-item Hamilton Depression Rating Scale (HAMD-17); patients with scores ≥7 were classified into the early-onset PSD group. Spearman rank correlation analysis was performed to evaluate associations of SII and SIRI with HAMD-17 scores across all participants. Binary logistic regression was used to examine the independent associations of SII and SIRI with early-onset PSD. Receiver operating characteristic (ROC) analysis was employed to assess the SII and SIRI capacity to differentiate early-onset PSD.


Results: 


Of the 1,113 prospectively enrolled patients, 372 (33.42%) were diagnosed with early-onset PSD. HAMD-17 scores showed significant positive correlations with SII (r = 0.440, p < 0.001) and SIRI (r = 0.418, p < 0.001). Both SII (OR = 1.762, 95% CI: 1.261–1.946, p < 0.001) and SIRI (OR = 1.672, 95% CI: 1.348–1.932, p = 0.004) emerged as independent predictors of early-onset PSD. The areas under the curve (AUC) for SII, SIRI, and their combination were 0.767, 0.718, and 0.807, respectively.

Conclusion: 


SII and SIRI may serve as independent risk factors for early-onset PSD. These indices offer potential utility for risk stratification and could inform prevention strategies and prognosis management in this patient population.


More at link.