Dr. Rossini studies the transition from mild cognitive impairment (MCI) to Alzheimer's disease. His research aims to develop a reliable prediction model that identifies individuals who are likely to progress to Alzheimer's within three years. By enrolling 500 participants aged between 50 and 85, he analyzes various clinical tests, brain scans, and cognitive assessments to detect specific patterns that indicate a higher risk of developing the disease. This research is crucial as it offers ways for doctors to identify patients who could benefit from early interventions and new preventive treatments against Alzheimer's.
Key findings
Developed a prediction model based on data from 500 individuals with mild cognitive impairment, designed to identify those at risk of converting to Alzheimer's disease within three years.
The model evaluates brain scans and cognitive tests to highlight patterns that indicate higher risk factors for progressing to Alzheimer's.
Aims to assist doctors in making informed treatment decisions for high-risk patients, potentially benefiting those who could be helped with preventative therapies.
Frequently asked questions
Does Dr. Rossini study Alzheimer's disease?
Yes, Dr. Rossini researches the early signs of Alzheimer's disease and its progression, particularly in individuals with mild cognitive impairment.
What treatments has Dr. Rossini researched?
His focus is on predicting Alzheimer's risk, which can help shape treatment strategies, especially for those at high risk who may benefit from new preventive therapies.
Is Dr. Rossini's work relevant to patients with mild cognitive impairment?
Absolutely, his research directly addresses the needs of patients with mild cognitive impairment by identifying those who may progress to Alzheimer's and guiding potential preventive care.
Publications in plain English
Plasma extracellular vesicles and phosphorylated tau 181 as early biomarkers of cognitive impairment in Alzheimer's dementia.
2026
Alzheimer's research & therapy
Brembati V, Crescenti D, Geviti A, Rossini E, Cazzaniga FA +42 more
Plain English This study investigated blood markers to help identify Alzheimer's disease early, focusing on proteins and tiny particles known as extracellular vesicles. Researchers analyzed blood samples from 800 people at different stages of cognitive decline, and found that levels of a protein called phosphorylated tau (p-Tau) and the characteristics of extracellular vesicles change early in the disease. Specifically, p-Tau levels were elevated in individuals with mild cognitive impairment and Alzheimer's dementia, and combining multiple biomarkers improved the ability to differentiate between healthy individuals and those at risk of Alzheimer's.
Who this helps: This research benefits patients at risk of Alzheimer's and doctors looking for reliable early diagnostic tools.
Should all MCI with Alzheimer's biological diagnosis receive anti-amyloid therapy?
2026
Cell death & disease
Rossini PM, Pappalettera C
Plain English This paper examines whether all people with mild cognitive impairment (MCI) who test positive for amyloid (a protein linked to Alzheimer’s) should receive new anti-amyloid treatments. The researchers found that while MCI increases the chance of developing dementia, over half of those affected do not progress to dementia even after many years. Moreover, these treatments are expensive, may carry risks, and there is uncertainty about their long-term benefits, raising concerns about unnecessary harm and healthcare costs.
Who this helps: This benefits patients with MCI and their families by guiding treatment decisions and minimizing unnecessary risks.
Evaluating dementia risk prediction in mild cognitive impairment: an early health technology assessment of the AI-Mind tool.
2026
GeroScience
Vermeulen RJ, Rikkert MGMO, Handels R, Haraldsen IRJH, Renvall H +5 more
Plain English This study looked at a tool called AI-Mind that tries to predict whether people with mild cognitive impairment (MCI) will develop dementia. The researchers found that using this tool without effective treatments actually costs more and slightly lowers quality of life than current practices; specifically, it showed 9.32 quality-adjusted life years (QALYs) compared to 9.36 QALYs with current methods, while costs were €115,837 versus €115,032. The findings indicate that the prediction tool alone may not be worth the investment unless paired with effective treatments.
Who this helps: This helps doctors and healthcare decision-makers who are looking to improve care for patients with mild cognitive impairment.
The impact of insulin resistance on cognitive impairment and cerebrospinal fluid biomarkers in Alzheimer's disease.
2026
Neurobiology of disease
Giuffrè GM, Scalese A, Quaranta D, Donnarumma F, Vita MG +4 more
Plain English This study looked at how insulin resistance, a condition where the body's cells do not respond properly to insulin, impacts thinking abilities and specific biological markers in people with Alzheimer's disease (AD). Researchers analyzed data from 200 individuals and found that those with Alzheimer's dementia had higher insulin resistance compared to those with only mild cognitive issues. They also discovered that higher insulin resistance was linked to worse cognitive performance, suggesting that tackling insulin resistance might help improve thinking skills in people with cognitive disorders.
Who this helps: This helps patients with Alzheimer’s disease and their caregivers by highlighting a potential area for treatment.
Stratification of Motor Cortex Excitability to Transcranial Stimulation Uncovers Functional Network Differences in Healthy Older Adults as Revealed by Resting State EEG Functional Coupling in Brain Network.
2026
Comprehensive Physiology
Nucci L, Frasca F, Pappalettera C, Ginatempo F, Loi N +5 more
Plain English This study looked at how the brain's ability to control movement changes in healthy older adults. Researchers tested 87 participants and found that those with lower motor cortex excitability (L-MEP group) had worse brain connectivity in specific areas related to movement and thinking compared to those with higher excitability (H-MEP group). Importantly, while both groups had similar hand strength, the L-MEP group scored lower on a cognitive test, indicating that lower motor function can be linked to issues in brain connections and cognitive performance.
Who this helps: This helps older adults and healthcare providers by highlighting early signs of cognitive decline related to motor function.
Exploring the complexity of EEG patterns in Parkinson's disease.
2025
GeroScience
Nucci L, Miraglia F, Pappalettera C, Rossini PM, Vecchio F
Plain English This study looked at brain activity patterns in people with Parkinson's disease (PD) to see if these patterns could help identify the disease earlier. Researchers found that people with PD had lower complexity in their brain waves, specifically in the beta frequency bands, compared to healthy individuals—showing significantly reduced complexity scores in specific brain regions. This matters because early detection of Parkinson's could lead to better treatment and improved outcomes for patients.
Who this helps: Patients with Parkinson's disease.
From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke.
2025
GeroScience
Cacciotti A, Pappalettera C, Miraglia F, Carrarini C, Pecchioli C +2 more
Plain English This study looked at how artificial intelligence (AI) and brain activity measurements (EEG) can help diagnose strokes and predict recovery outcomes. Researchers analyzed data from 127 stroke patients and 90 healthy individuals, finding that their methods could accurately classify patients and predict how well they would recover, with an impressive 94.75% accuracy for recovery predictions. This is important because it means healthcare providers can create more personalized rehabilitation plans to improve recovery for stroke patients.
Who this helps: Stroke patients and their healthcare providers.
EEG brain networks modulation during sleep onset: the effects of aging.
2025
GeroScience
Miraglia F, Cacciotti A, Vecchio F, Scarpelli S, Gorgoni M +2 more
Plain English This study looked at how brain connections during sleep change with age by comparing young and older adults. Researchers found that both age groups experienced a drop in certain brain network activity when falling asleep, but older adults had an increase in activity related to memory and processing in certain brain frequencies after falling asleep, which young adults did not show. Understanding these differences helps us learn about how aging affects sleep and brain function, potentially leading to better support for healthy aging and addressing issues like memory loss.
Who this helps: This helps patients, particularly older adults dealing with sleep and cognitive issues.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Rossini PM, Cole J, Paulus W, Ziemann U, Chen R
Plain English The study reviews the history and significance of Electroencephalography (EEG), which began when Hans Berger first recorded brain signals in 1924. It highlights how EEG has evolved over the years, with the International Federation of Clinical Neurophysiology playing a key role in advancing research and practices in this field. This matters because EEG is crucial for diagnosing brain disorders and guiding treatment plans.
Who this helps: This helps patients with neurological conditions and doctors who treat them.
Enhancing the effect of rehabilitation on multiple sclerosis: A randomized clinical trial investigating the impact of remotely-supervised transcranial direct current stimulation and virtual reality telerehabilitation training.
2025
Multiple sclerosis and related disorders
Pagliari C, Tella SD, Bonanno C, Cacciante L, Cioeta M +13 more
Plain English This study looked at how combining remote brain stimulation with virtual reality rehabilitation could help people with multiple sclerosis (MS) improve their balance, walking, and overall quality of life. Participants who received the active brain stimulation along with rehabilitation saw significant improvements in their balance and walking ability, with a reduction in feelings of anxiety and walking difficulties. Specifically, the group receiving the active stimulation reported a notable improvement in perceived walking challenges and anxiety levels (p = 0.006 for walking difficulty and p = 0.032 for anxiety).
Who this helps: This benefits patients with multiple sclerosis and their doctors by providing a new approach to enhance rehabilitation outcomes.
Exploring the ability of plasma pTau217, pTau181 and beta-amyloid in mirroring cerebrospinal fluid biomarker profile of Mild Cognitive Impairment by the fully automated Lumipulseplatform.
2025
Fluids and barriers of the CNS
Catania M, Battipaglia C, Perego A, Salvi E, Maderna E +13 more
Plain English This study examined how well certain blood tests (plasma biomarkers) can reflect the presence of Alzheimer's Disease indicators found in cerebrospinal fluid in people with Mild Cognitive Impairment (MCI). Researchers analyzed samples from 306 MCI patients and found strong correlations between blood levels of two proteins, Aβ42 and pTau181, and their counterparts in cerebrospinal fluid, suggesting these blood tests can reliably indicate Alzheimer's risk. The ability of the Aβ42/Aβ40 ratio and another protein, pTau217, to distinguish between patients with and without Alzheimer's is notable, with scores indicating high accuracy (AUC values between 0.857 and 0.911).
Who this helps: Patients at risk of Alzheimer's disease and their healthcare providers will benefit from these developments.
Combining non-invasive brain stimulation techniques and EEG markers analysis: an innovative approach to cognitive health in aging.
2025
GeroScience
Pappalettera C, Fabbrocino A, Miraglia F, Rossini PM, Vecchio F
Plain English This study looked at how non-invasive brain stimulation techniques, like transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS), can affect brain activity in older people. Researchers found that these techniques could change brain wave patterns measured by EEG, which might help in understanding and improving cognitive health as we age. This is important because it could lead to new ways to help older adults maintain their cognitive abilities and improve their overall brain health.
Who this helps: Older adults experiencing cognitive decline.
Risk factors of dementia in a cohort of individuals with mild cognitive impairment in the Italian Interceptor project.
2025
European journal of neurology
Carrarini C, Caraglia N, Quaranta D, Vecchio F, Miraglia F +14 more
Plain English This study looked at risk factors that could lead to dementia in people with mild cognitive impairment (MCI). Researchers followed 356 participants over three years, finding that 104 developed dementia while 252 did not. They discovered that women, older individuals, and those with more cognitive issues were more likely to progress to dementia, and being physically active helped protect against this progression.
Who this helps: Patients with mild cognitive impairment and their healthcare providers.
Brain network modulation in response to directional and Non-Directional Cues: Insights from EEG connectivity and graph theory.
2025
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Vecchio F, Miraglia F, Pappalettera C, Rossini PM
Plain English This study explored how directional cues (like arrows) change brain activity during tasks that require visual-motor coordination. Researchers found that when participants were given directional cues, their brain networks functioned more efficiently, especially in the Alpha 1 frequency band, indicating improved connectivity in brain areas involved in decision making. These findings are important because they can help shape rehabilitation strategies for individuals with visual or motor challenges after a stroke.
Who this helps: This helps patients recovering from strokes and their healthcare providers.
The prognosis of mild cognitive impairment: A systematic review and meta-analysis.
2025
Alzheimer's & dementia (Amsterdam, Netherlands)
Salemme S, Lombardo FL, Lacorte E, Sciancalepore F, Remoli G +10 more
Plain English This study looked at how mild cognitive impairment (MCI) affects the chances of developing dementia or returning to normal cognitive function. Researchers found that in clinical settings, about 42% of people with MCI progressed to dementia, while only 8.7% reverted to normal cognition. In contrast, in general population studies, 27% developed dementia, but a better chance of 28% reverted to normal. This highlights the need for better care strategies for MCI, especially since the chance of remaining stable is about 50% in both settings.
Who this helps: This helps patients with MCI and their families by providing clear information about their risks and options.
Siconolfi G, Pecchioli C, Vukoja P, Vecchio F, Iodice F +3 more
Plain English This study looked at a rare condition called cortical deafness, which occurs when both sides of the brain responsible for hearing are damaged, while other parts of the hearing system remain intact. Researchers described a case of a woman who lost some hearing after a type of stroke and found that, over the following months, her hearing and understanding of spoken language improved significantly, although she still had some mild language issues. Understanding how patients recover from this condition is important because it helps in planning their treatment and rehabilitation.
Who this helps: This helps patients with cortical deafness and their doctors.
Electrical brain activity in Centenarians: Neurophysiological EEG markers in resilient brain ageing.
2025
Mechanisms of ageing and development
Vecchio F, Pappalettera C, Cacciotti A, Frasca F, Marcon G +1 more
Plain English This study looked at the brain activity of centenarians (people who are 100 years old or more) to understand how their brains age compared to younger and older individuals. Researchers found that centenarians who were mentally sharp displayed brain activity patterns similar to those of elderly people, rather than showing signs of decline typical in Alzheimer’s disease. This is important because it suggests that studying how centenarians maintain their brain health could provide insights that help promote healthy aging for everyone.
Who this helps: This helps researchers and healthcare providers understand and improve brain health in older adults.
Acute bilateral central deafness following cardioembolic ischemic stroke: insights from EEG spectral and connectivity analysis.
2025
GeroScience
Cacciotti A, Miraglia F, Siconolfi G, Iodice F, Marrone A +4 more
Plain English This study looked at a 57-year-old woman who became profoundly deaf in both ears after having a type of stroke caused by a blood clot. Researchers used advanced brain scans to see how her brain's electrical activity changed after the stroke and found that the connections in parts of her brain related to hearing were disrupted. This matters because understanding these changes can help doctors create better rehabilitation plans for patients who suffer from similar sensory problems after a stroke.
Who this helps: This helps patients recovering from strokes, particularly those with hearing loss.
Deep transcranial magnetic stimulation in progressive supranuclear palsy: a randomized double-blind, cross-over study.
2025
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Radicati FG, Vacca L, Casali M, Tremigliozzi I, Alborghetti M +3 more
Plain English This study looked at how Deep Transcranial Magnetic Stimulation (DTMS) affects patients with progressive supranuclear palsy (PSP), a rare disease that impacts movement and cognitive function. Researchers included 19 participants and found that those who received real treatment showed a significant improvement in motor function, particularly when treatment was given in the second period, achieving a score improvement of about 4 points. Although the improvements were temporary, lasting roughly a week, they are important because they offer hope for better mobility in PSP patients, who often struggle with falls and gait issues.
Who this helps: This research benefits patients with PSP and their caregivers by exploring new treatment options for improving movement and quality of life.
Electroencephalography-based signatures of cognitive resilience in individuals with stable mild cognitive impairment despite carrying a high-risk for progression to dementia.
2025
Alzheimer's & dementia (New York, N. Y.)
Pappalettera C, Nucci L, Cacciotti A, Vecchio F, Marra C +12 more
Plain English This study looked at individuals with mild cognitive impairment (MCI) who are at high risk for developing dementia but have remained stable over time. Researchers found that those who stayed stable (sMCI-resilient) had distinct brain activity patterns compared to those who progressed to dementia (cMCI), showing stronger connectivity in certain brain regions. This research matters because identifying brain signatures of resilience can help develop new strategies for preventing dementia in at-risk individuals.
Who this helps: This helps patients with mild cognitive impairment and their healthcare providers.
The role of the sleep K-complex on the conversion from mild cognitive impairment to Alzheimer's disease.
2024
Journal of sleep research
Gorgoni M, Cenani J, Scarpelli S, D'Atri A, Alfonsi V +6 more
Plain English This study examined changes in a brain wave pattern called K-complex during sleep in people with mild cognitive impairment (MCI), which can lead to Alzheimer’s disease. Researchers found that individuals with MCI who later converted to Alzheimer’s had fewer K-complexes in a part of the brain (the parietal region) compared to those who maintained stable MCI or healthy controls. This is important because identifying these early changes could help in predicting who might be at risk of developing Alzheimer’s disease sooner.
Who this helps: This benefits patients with mild cognitive impairment and their families by identifying potential early signs of Alzheimer’s.
Neuroplasticity in levodopa-induced dyskinesias: An overview on pathophysiology and therapeutic targets.
2024
Progress in neurobiology
Bove F, Angeloni B, Sanginario P, Rossini PM, Calabresi P +1 more
Plain English This study looked at how a medication for Parkinson's disease, levodopa, can lead to involuntary movements known as levodopa-induced dyskinesias (LIDs). Researchers found that changes in brain connection strength are responsible for these movements, with altered communication in brain areas observed in both lab models and actual patients. Understanding this can help develop treatments, like brain stimulation therapies, that aim to correct these brain changes and improve the quality of life for patients.
Who this helps: Patients with Parkinson's disease experiencing dyskinesias.
Modulation of brain signals during sensorimotor and imaging tasks in a person with an implanted upper-limb prosthesis following amputation of the left hand.
Plain English This review looked at how cognitive reserve (CR) affects brain aging, especially in relation to dementia. Researchers analyzed 842 articles and explored different ways to measure CR, which includes factors like education and genetics. They found that understanding and improving CR is crucial for helping older adults maintain their cognitive abilities as their brains age.
Who this helps: This research benefits elderly patients and their caregivers by highlighting ways to protect cognitive health.
Brain complexity in stroke recovery after bihemispheric transcranial direct current stimulation in mice.
2024
Brain communications
Miraglia F, Pappalettera C, Barbati SA, Podda MV, Grassi C +2 more
Plain English This study looked at how a special type of brain stimulation called bihemispheric transcranial direct current stimulation can help mice recover from a stroke. Researchers found that stroke-affected mice had more chaotic brain activity, shown by higher "Entropy" scores, while the stimulation technique lowered these scores, especially in stroke mice. Importantly, as brain activity became more organized, the mice's grip strength improved, suggesting a connection between brain health and movement ability.
Who this helps: This benefits stroke patients and their rehabilitation efforts.
EEG entropy insights in the context of physiological aging and Alzheimer's and Parkinson's diseases: a comprehensive review.
2024
GeroScience
Cacciotti A, Pappalettera C, Miraglia F, Rossini PM, Vecchio F
Plain English This paper reviews how measuring the complexity of brain activity using EEG can help us understand how the brain ages and how it is affected by diseases like Alzheimer's and Parkinson's. Researchers found that traditional methods might miss important information about brain health, and using entropy measures can reveal significant changes in brain activity. These insights are important because they can lead to earlier diagnoses and better treatment plans for individuals with these neurological conditions.
Who this helps: This helps patients with Alzheimer's and Parkinson's diseases, as well as the doctors treating them.
Associations Between Free and Cued Selective Reminding Test and Cerebrospinal Fluid Biomarkers in Amnestic Mild Cognitive Impairment.
2024
Journal of Alzheimer's disease : JAD
Giuffrè GM, Quaranta D, Citro S, Morganti TG, Martellacci N +4 more
Plain English This study looked at how a memory test called the Free and Cued Selective Reminding Test (FCSRT) relates to certain brain biomarkers in people with mild cognitive impairment (aMCI), which can be an early sign of Alzheimer's disease. The research involved 120 participants and found that those with evidence of amyloid-β (A+) had significantly lower scores on the test, especially in the Immediate Total Recall section, making it a strong predictor of amyloid presence. These findings highlight that the FCSRT can effectively help in diagnosing Alzheimer's and could be used in clinical settings to evaluate patients' memory issues more efficiently.
Who this helps: This helps patients with mild cognitive impairment and their doctors in diagnosing Alzheimer's disease.
Small World derived index to distinguish Alzheimer's type dementia and healthy subjects.
2024
Age and ageing
Vecchio F, Miraglia F, Pappalettera C, Nucci L, Cacciotti A +1 more
Plain English This study examined brain activity patterns in people with Alzheimer's disease compared to healthy individuals. Researchers analyzed brain wave recordings from 370 people and found that those with Alzheimer's had higher scores on a new measure called the Small World (SW) index, while healthy subjects had the lowest scores. This discovery is important because it provides a simple and inexpensive way to identify Alzheimer's disease, helping to improve diagnosis and treatment.
Who this helps: This helps patients with Alzheimer's and their doctors by offering a better method for diagnosis.
Long-lasting improvements in episodic memory among subjects with mild cognitive impairment who received transcranial direct current stimulation combined with cognitive treatment and telerehabilitation: a multicentre, randomized, active-controlled study.
2024
Frontiers in aging neuroscience
Manenti R, Baglio F, Pagnoni I, Gobbi E, Campana E +14 more
Plain English This study looked at how a special brain stimulation technique, called transcranial direct current stimulation (tDCS), combined with virtual reality cognitive training, affects the memory of people with mild cognitive impairment (MCI). They found that the group receiving this combined treatment showed significant improvement in their episodic memory, with a strong effect noted after treatment (p < 0.001), while other treatments did not result in better memory performance. This matters because it offers a promising new approach to help improve memory in people with MCI, potentially delaying the progression of cognitive decline.
Who this helps: This helps patients with mild cognitive impairment.
Neuropsychological and electrophysiological measurements for diagnosis and prediction of dementia: a review on Machine Learning approach.
2024
Ageing research reviews
Carrarini C, Nardulli C, Titti L, Iodice F, Miraglia F +2 more
Plain English This study reviewed how advanced technologies, particularly Artificial Intelligence (AI) and Machine Learning (ML), can help diagnose and predict different types of dementia, including Alzheimer's disease. Researchers found that ML tools were accurately identifying dementia in 70% to over 90% of cases based on brain activity measurements. This is important because early detection can lead to more effective management of the disease.
Who this helps: This benefits patients and their families by improving early diagnosis and treatment options.
The impact of virtual reality and distractors on attentional processes: insights from EEG.
2024
Pflugers Archiv : European journal of physiology
Pappalettera C, Miraglia F, Cacciotti A, Nucci L, Tufo G +2 more
Plain English This research studied how virtual reality (VR) affects attention by looking at brain signals from people as they listened to sounds in different environments. The study found that when people experienced VR with many distractions, their brain's response to important sounds took longer to process compared to when they were not in VR or had fewer distractions. Specifically, the brain's response time increased from an average of 300 milliseconds to a longer time when there were many distractions in VR.
Who this helps: This research benefits patients with attention-related issues, as it provides insights for better treatment approaches.
Effects of cervical transcutaneous spinal direct current stimulation on spinal excitability.
2024
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Pierantoni L, Vecchio F, Miraglia F, Pecchioli C, Iodice F +5 more
Plain English This study looked at a technique called transcutaneous spinal direct current stimulation (tsDCS) to see how it affects the spinal cord's ability to send signals to muscles. Researchers tested this on 18 young volunteers and found that when the stimulation was applied with a particular electrode setup, motor responses in hand muscles improved significantly (with a p-value of less than 0.00001) for about 6 minutes, but the effect quickly faded afterward. This is important because it suggests that tsDCS could help people with weakened hand function due to spinal cord issues.
Who this helps: Patients with impaired hand motor function.
Non-invasive brain stimulation in cognitive sciences and Alzheimer's disease.
2024
Frontiers in human neuroscience
Carrarini C, Pappalettera C, Le Pera D, Rossini PM
Plain English This study looked at non-invasive brain stimulation techniques (NIBS) and their potential benefits for understanding brain functions and helping people with Alzheimer's disease. Researchers reviewed how NIBS works and its various uses, finding that it could improve cognitive functions and aid in treating dementia. This matters because NIBS may offer new ways to personalize care for patients suffering from neurodegenerative diseases.
Who this helps: This helps patients with Alzheimer's disease and their caregivers.
Development of a prediction model of conversion to Alzheimer's disease in people with mild cognitive impairment: the statistical analysis plan of the INTERCEPTOR project.
2024
Diagnostic and prognostic research
Lombardo FL, Lorenzini P, Mayer F, Massari M, Piscopo P +19 more
Plain English This study focuses on creating a tool to predict which people with mild cognitive impairment (MCI) will develop Alzheimer's disease within three years. Researchers enrolled 500 individuals aged 50-85 and examined various tests and markers, such as brain scans and cognitive assessments, to identify patterns that indicate higher risk. The findings will help doctors identify high-risk patients who may benefit from new therapies aimed at preventing Alzheimer's.
Who this helps: This helps patients with mild cognitive impairment and their doctors make informed decisions about treatment.
Approximate entropy analysis across electroencephalographic rhythmic frequency bands during physiological aging of human brain.
2023
GeroScience
Pappalettera C, Cacciotti A, Nucci L, Miraglia F, Rossini PM +1 more
Plain English This study looked at how aging affects brain activity by analyzing brain wave patterns from 161 people aged 18 to 85. Researchers found significant differences in the brain signals between younger (ages 18-30) and older adults (ages 65-85), especially in certain frequency bands like delta and gamma, achieving over 93% accuracy in classifying age groups based on these patterns. Understanding these changes is important because it can help identify cognitive decline in older adults, potentially leading to better care strategies.
Who this helps: This helps patients, particularly elderly individuals experiencing cognitive decline.
The combination of hyperventilation test and graph theory parameters to characterize EEG changes in mild cognitive impairment (MCI) condition.
2023
GeroScience
Miraglia F, Pappalettera C, Guglielmi V, Cacciotti A, Manenti R +3 more
Plain English This study looked at how hyperventilation affects brain activity in people with mild cognitive impairment (MCI) compared to healthy older adults. Researchers found that the brain's connectivity, measured through EEG, showed significant changes during hyperventilation, indicating a difference in brain function: the global efficiency scores of the MCI participants were notably lower than those of the healthy group. This matters because it suggests that combining hyperventilation tests with brain network analysis could help identify early signs of Alzheimer's disease.
Who this helps: This helps patients with cognitive decline and their doctors in diagnosing early brain dysfunction.
Plain English This study looked at how a specific brain area, the primary motor cortex, works in stroke patients shortly after they have a stroke. Researchers found that the part of the brain affected by the stroke was overactive, while the hand that was weakened showed less response than both the healthy hand and healthy volunteers. Understanding these changes is important because it can help develop better rehabilitation approaches during the critical early weeks after a stroke.
Who this helps: This helps stroke patients and their rehabilitation teams.
The Effects of Directional and Non-Directional Stimuli during a Visuomotor Task and Their Correlation with Reaction Time: An ERP Study.
2023
Sensors (Basel, Switzerland)
Miraglia F, Pappalettera C, Di Ienno S, Nucci L, Cacciotti A +4 more
Plain English This study looked at how different types of visual cues—ones that guide attention in a specific direction (directional stimuli) versus those that do not (non-directional stimuli)—affect brain activity and reaction times in adults. Researchers found that the brain's response varied based on the type of cue and whether participants had faster or slower reaction times, revealing significant differences in brain activity patterns. Understanding these brain responses can enhance diagnosis and treatment strategies for individuals with neurological disorders.
Who this helps: Patients with neurological conditions and their healthcare providers.
Clinical diagnostic utility of transcranial magnetic stimulation in neurological disorders. Updated report of an IFCN committee.
2023
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Vucic S, Stanley Chen KH, Kiernan MC, Hallett M, Benninger DH +17 more
Plain English This study looked at how transcranial magnetic stimulation (TMS) can be used to diagnose various neurological disorders. Researchers found that TMS is effective in detecting problems related to conditions like Alzheimer's disease, amyotrophic lateral sclerosis, and multiple sclerosis, with serious cases showing distinct patterns; for example, TMS was particularly useful for assessing motor function and identifying nerve damage. This is important because it can help doctors make better diagnoses and tailor treatments for patients with neurological issues.
Who this helps: This helps patients with neurological disorders and their doctors.
Complexity analysis from EEG data in congestive heart failure: A study via approximate entropy.
2023
Acta physiologica (Oxford, England)
Cacciotti A, Pappalettera C, Miraglia F, Valeriani L, Judica E +2 more
Plain English This study looked at how congestive heart failure (CHF) affects brain activity by measuring patterns in brain waves using EEG in 20 CHF patients compared to 18 healthy older adults. The researchers found that the brain activity of CHF patients showed significant differences, especially in the overall brain wave patterns and specific frequency bands, indicating a decline in brain function. They also discovered that poorer brain activity was related to higher levels of a heart-related protein and more severe heart failure symptoms.
Who this helps: This benefits patients with congestive heart failure by improving understanding of their brain health.
Informal caregiver's socio demographic profile for community-dwelling women and men with mild to moderate Alzheimer's disease, compliance, and satisfaction to treatment: A post-hoc analysis of the AXEPT study.
2023
Health care for women international
Colombo D, Zagni E, Rossini PM, Di Cioccio L, Gragnaniello D +5 more
Plain English This study looked at the profiles of caregivers for men and women with mild to moderate Alzheimer's disease, using data from 855 patients. It found that women had lower memory scores (20.8) compared to men (21.2) and were more likely to experience psychiatric disorders (14% women vs. 6.8% men). Additionally, male patients were typically cared for by their wives, while female patients were mostly cared for by their daughters, with women receiving less daily caregiving on average (10 hours compared to men's 15.2 hours).
Who this helps: This research benefits caregivers and healthcare providers by highlighting the different needs of men and women with Alzheimer's disease.
Neuropsychological predictors of conversion from mild cognitive impairment to dementia at different timepoints.
2023
Brain and behavior
Quaranta D, Caraglia N, L'Abbate F, Giuffrè GM, Guglielmi V +4 more
Plain English This study looked at how well different memory types can predict when people with mild cognitive impairment (MCI) will develop dementia. Out of 253 people with MCI, 186 progressed to dementia over six years, with 27 converting quickly in the first two years, 107 in years three to four, and 51 after four years. The findings show that problems with certain types of memory, particularly semantic memory, may signal the onset of Alzheimer's disease earlier than traditional memory tests.
Who this helps: This research benefits patients at risk of developing Alzheimer's disease and their healthcare providers by offering earlier detection methods.
Cerebrospinal fluid neurofilament light chain and total-tau as biomarkers of neurodegeneration in Alzheimer's disease and frontotemporal dementia.
2023
Neurobiology of disease
Giuffrè GM, Quaranta D, Costantini EM, Citro S, Martellacci N +6 more
Plain English This study looked at the levels of two proteins, neurofilament light chain (NfL) and total-tau, in the cerebrospinal fluid of patients with mild cognitive impairment (MCI) due to Alzheimer's disease (AD) and those with frontotemporal dementia (FTD). They found that patients with AD had lower NfL levels and higher total-tau levels compared to FTD patients; in fact, the combination of these two proteins was very effective at distinguishing between the two conditions, achieving an accuracy score of 0.951. These findings are important because they help in understanding how different types of dementia affect the brain and can lead to better diagnosis and treatment.
Who this helps: This helps doctors and patients by improving the accuracy of dementia diagnoses.
Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol.
2023
Frontiers in neurorobotics
Haraldsen IH, Hatlestad-Hall C, Marra C, Renvall H, Maestú F +64 more
Plain English The AI-Mind study focuses on improving how we identify people at risk of developing dementia from mild cognitive impairment (MCI), which affects over 10 million Europeans. Researchers are using advanced artificial intelligence (AI) tools to analyze brain activity and other health data to predict a person's risk of dementia more accurately and quickly. This approach could help prevent or delay the onset of dementia for up to half of those at risk.
Who this helps: This benefits patients with mild cognitive impairment and their doctors by providing better tools for early diagnosis and intervention.