Tandem construction of biological relevant aliphatic 5-membered N-heterocycles

D Łowicki, P Przybylski - European Journal of Medicinal Chemistry, 2022 - Elsevier
Nature often uses cascade reactions in a highly stereocontrolled manner for assembly
structurally diverse nitrogen-containing heterocyclic scaffolds, ie secondary metabolites …

[HTML][HTML] Drug-induced gambling disorder: epidemiology, neurobiology, and management

M Wolfschlag, A Håkansson - Pharmaceutical medicine, 2023 - Springer
Problematic gambling has been suggested to be a possible consequence of dopaminergic
medications used mainly in neurological conditions, ie pramipexole and ropinirole, and …

[HTML][HTML] Major neurocognitive disorder (dementia)

PD Emmady, C Schoo, P Tadi - 2020 - europepmc.org
Objectives: Describe risk factors associated with dementia and related conditions. Review
the evaluation required for patients presenting with cognitive decline. Summarize the …

PARNet: Deep neural network for the diagnosis of parkinson's disease

A Keles, A Keles, MB Keles, A Okatan - Multimedia Tools and Applications, 2024 - Springer
In this study, the successful network architecture we developed from scratch to diagnose
COVID-19 has been retrained, using single photon emission computed tomography …

Gene signals and SNPs associated with Parkinson's disease: A nutrigenomics and computational prospective insights

S Subramaniyan, BB Kuriakose, S Mushfiq, NM Prabhu… - Neuroscience, 2023 - Elsevier
Parkinson's disease is the most prevalent chronic neurodegenerative disease. Neurological
conditions for PD were influenced by a variety of epigenetic factors and SNPs in some of the …

[HTML][HTML] Biomarkers in Parkinson's disease: A state of the art review

KY Yamashita, S Bhoopatiraju, BD Silverglate… - Biomarkers in …, 2023 - Elsevier
Biomarkers in Parkinson's disease are widely researched in the field of neuropsychiatry.
Though Parkinson's disease is diagnosed clinically, biomarkers prove to be a promising …

Practical Overview of 123I-Ioflupane Imaging in Parkinsonian Syndromes

MK Mercer, JW Revels, LC Blacklock, KP Banks… - …, 2024 - pubs.rsna.org
Parkinsonian syndromes are a heterogeneous group of progressive neurodegenerative
disorders involving the nigrostriatal dopaminergic pathway and are characterized by a wide …

[HTML][HTML] Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions

B Garcia Santa Cruz, A Husch, F Hertel - Frontiers in Aging …, 2023 - frontiersin.org
Parkinson's disease (PD) is a progressive and complex neurodegenerative disorder
associated with age that affects motor and cognitive functions. As there is currently no cure …

Progressive supranuclear palsy: Neuropathology, clinical presentation, diagnostic challenges, management, and emerging therapies

F DeRosier, C Hibbs, K Alessi, I Padda, J Rodriguez… - Disease-a-Month, 2024 - Elsevier
Progressive supranuclear palsy (PSP) is a neurodegenerative disease characterized by the
accumulation of 4R-tau protein aggregates in various brain regions. PSP leads to neuronal …

[HTML][HTML] What is new in nuclear medicine imaging for dementia

ES Topçuoğlu, ÜÖ Akdemir, LÖ Atay - Archives of Neuropsychiatry, 2022 - ncbi.nlm.nih.gov
Advances in the molecular biology, pathology and genetics of Alzheimer's disease (AD) and
other degenerative dementias have led to the development of biomarkers specific to these …