Alzheimers

Spotlight article

Could AI Improve How Alzheimer’s Is Detected and Staged on MRI?

In this study, researchers present a hybrid machine-learning framework for detecting and staging Alzheimer’s disease from brain MRI scans by combining deep feature extraction, feature fusion, and optimized feature selection. Researchers fine-tuned multiple pre-trained convolutional neural networks on a public 4-class Alzheimer’s MRI dataset, then selected the strongest-performing models—EfficientNet-b0 and MobileNet-v2—for feature extraction. Those deep features were fused using canonical correlation analysis, which improved classification performance by capturing complementary information from both models. The fused feature set increased accuracy to 94.7%, but also greatly increased dimensionality. Researchers then applied several wrapper-based feature-selection methods to reduce redundancy and improve efficiency.

 

Among the tested methods, the binary-enhanced whale optimization algorithm (WOA) performed best, raising maximum classification accuracy to 98.25% while reducing the feature set to 953 features and keeping processing time low. The proposed approach outperformed both conventional WOA and several other state-of-the-art methods, with each added step shown to be statistically significant. The authors conclude that this hybrid fusion-and-selection pipeline is a promising automated tool for Alzheimer’s detection and staging from MRI data. However, they noted important limitations: the findings were based on a single public dataset, relied only on MRI rather than multimodal data, and will need validation across broader datasets and real-world settings.

 

Reference: Ali MU, Hussain SJ, Khalid M, etal. MRI-Driven Alzheimer's Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature. Bioengineering (Basel). 2024 Oct 28;11(11):1076. doi: 10.3390/bioengineering11111076. PMID: 39593736; PMCID: PMC11591117.

Eric Carlon

APRN, PMHNP-BC

Psychiatric Mental Health Nurse Practitioner, Home Physicians Group, Nova Southeastern University, Eastern Kentucky University, and Southern Adventist University

Featured article

Could Targeting Glucose Metabolism Change the Future of Alzheimer’s Care?

In this review, researchers argue that abnormal glucose metabolism is closely tied to Alzheimer’s disease (AD) pathogenesis and may help explain why some diabetes therapies are being studied for cognitive benefit. The article describes how impaired brain glucose use, disrupted insulin signaling, blood-brain barrier dysfunction, mitochondrial injury, oxidative stress, inflammation, and TXNIP-related pathways may all contribute to amyloid-beta accumulation, tau phosphorylation, and neurodegeneration. In that framework, AD is presented not just as a disorder of plaques and tangles, but also as one linked to broader metabolic dysfunction, especially insulin resistance and impaired cellular energy handling in the brain.

 

The review then examines whether antidiabetic drugs and certain herbal compounds might help treat AD by targeting those metabolic pathways. It highlights promising preclinical and some early clinical signals for agents such as GLP-1 receptor agonists, DPP-4 inhibitors, SGLT2 inhibitors, insulin, and metformin, though the evidence is mixed and in some cases contradictory, especially for metformin. It also surveys herbal candidates such as curcumin, resveratrol, berberine, geniposide, ginsenosides, and quercetin, noting potential anti-inflammatory, antioxidant, and insulin-signaling effects. Researchers emphasize that most of this evidence remains preclinical and that bioavailability, inconsistency, and lack of robust human trials remain major limitations. Overall, the authors suggest targeting glucose metabolism may open new avenues for AD treatment, but they stop well short of claiming that any of these approaches are proven therapies yet.

 

Reference: Wang Y, Hu H, Liu X, Guo X. Hypoglycemic medicines in the treatment of Alzheimer's disease: Pathophysiological links between AD and glucose metabolism. Front Pharmacol. 2023 Feb 23;14:1138499. doi: 10.3389/fphar.2023.1138499. PMID: 36909158; PMCID: PMC9995522.

Eric Carlon

APRN, PMHNP-BC

Lewy Body Dementia: Why the Wrong Medication Can Make Symptoms Worse

Lewy body dementia is a complex neurodegenerative disorder that affects far more than cognition alone, with symptoms spanning cognitive, neuropsychiatric, motor, autonomic, gastrointestinal, urinary, and sleep domains. In this review, experts combined available evidence with Delphi-based clinical consensus to outline a practical management approach for these overlapping problems. For cognitive symptoms, donepezil and rivastigmine have the strongest evidence and are generally considered first-line. Memantine may offer some benefit but has shown mixed results. Neuropsychiatric symptoms such as hallucinations, delusions, anxiety, depression, and apathy often require careful assessment with caregiver input, and nonpharmacologic strategies are preferred first when possible. Antipsychotics must be used with great caution because patients with Lewy body dementia can have severe sensitivity reactions, and even helpful treatments in one domain may worsen symptoms in another.

 

The review emphasizes that management should be multidisciplinary and highly individualized because patients commonly experience parkinsonism, falls, orthostatic hypotension, constipation, urinary problems, REM sleep behavior disorder, insomnia, daytime sleepiness, and other disabling symptoms that can interact with one another. Evidence for many treatments remains limited, so clinicians often must rely on Parkinson’s disease data, expert consensus, and careful monitoring of tradeoffs. Nonpharmacologic measures such as physiotherapy, environmental modification, sleep hygiene, swallowing precautions, and caregiver education remain essential. Medications like levodopa, midodrine, fludrocortisone, melatonin, or selected bowel and bladder therapies may help specific symptoms in selected patients. Overall, the authors conclude that Lewy body dementia care requires coordinated, multispecialty support and that major evidence gaps remain, especially the need for larger, high-quality clinical trials focused on this population.

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Reference: Taylor JP, McKeith IG, Burn DJ, et al. New evidence on the management of Lewy body dementia. Lancet Neurol. 2020 Feb;19(2):157-169. doi: 10.1016/S1474-4422(19)30153-X. Epub 2019 Sep 10. PMID: 31519472; PMCID: PMC7017451.

Debbie A. Gunter

RN, FNP-BC, ACHPN

Can Lifestyle Change Slow Early Alzheimer’s Decline?

This randomized controlled trial tested whether an intensive, multimodal lifestyle program could help people already diagnosed with mild cognitive impairment or early dementia due to Alzheimer’s disease. Over 20 weeks, participants in the intervention group followed a highly structured program that included a whole-food, minimally processed plant-based diet, regular exercise, stress management, support groups, and selected supplements, while the control group continued usual care. Compared with controls, the intervention group showed statistically significant advantages on several standard measures of cognition and function, including the CGIC, CDR-SB, and CDR-Global. It showed borderline significance on the ADAS-Cog in the primary analysis. Results were even stronger in a sensitivity analysis. The study also found that the control group worsened across all four measures, while the intervention group generally improved or declined less.

 

The findings also were supported by favorable shifts in several biomarkers, including the plasma Aβ42/40 ratio, insulin, LDL cholesterol, GlycA, and ketones, as well as beneficial microbiome changes. In addition, dose-response relationships showed that greater adherence to the lifestyle program was associated with greater cognitive benefit. The authors conclude that comprehensive lifestyle change may help slow, stop, or even improve early Alzheimer’s-related cognitive decline, though they stress that the intervention was intensive and that substantial adherence appeared necessary.  

 

Reference: Ornish D, Madison C, Kivipelto M, et al. Effects of intensive lifestyle changes on the progression of mild cognitive impairment or early dementia due to Alzheimer's disease: a randomized, controlled clinical trial. Alzheimers Res Ther. 2024 Jun 7;16(1):122. doi: 10.1186/s13195-024-01482-z. PMID: 38849944; PMCID: PMC11157928.

Eric Carlon

APRN, PMHNP-BC

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