scholarly journals A Review of Accelerated Long-Term Forgetting in Epilepsy

2020 ◽  
Vol 10 (12) ◽  
pp. 945
Author(s):  
Rūta Mameniškienė ◽  
Kristijonas Puteikis ◽  
Arminas Jasionis ◽  
Dalius Jatužis
Keyword(s):  
Memory Consolidation ◽  
Epileptiform Activity ◽  
Distinct Pattern ◽  
Imaging Data ◽  
Novel Studies ◽  
Memory Disorder ◽  
Antiepileptic Medication ◽  
Reported Data ◽  
Neocortical Network

Accelerated long-term forgetting (ALF) is a memory disorder that manifests by a distinct pattern of normal memory for up to an hour after learning, but an increased rate of forgetting during the subsequent hours and days. The topic of ALF has gained much attention in group studies with epilepsy patients and the phenomenon has been shown to have contradictory associations with seizures, epileptiform activity, imaging data, sleep, and antiepileptic medication. The aim of this review was to explore how clinical and imaging data could help determine the topographic and physiological substrate of ALF, and what is the possible use of this information in the clinical setting. We have reviewed 51 group studies in English to provide a synthesis of the existing findings concerning ALF in epilepsy. Analysis of recently reported data among patients with temporal lobe epilepsy, transient epileptic amnesia, and generalized and extratemporal epilepsies provided further indication that ALF is likely a disorder of late memory consolidation. The spatial substrate of ALF might be located along the parts of the hippocampal–neocortical network and novel studies reveal the increasingly possible importance of damage in extrahippocampal sites. Further research is needed to explore the mechanisms of cellular impairment in ALF and to develop effective methods of care for patients with the disorder.

scholarly journals Cohort profile of Acutelines: a large data/biobank of acute and emergency medicine

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e047349
Author(s):  
Ewoud ter Avest ◽  
Barbara C van Munster ◽  
Raymond J van Wijk ◽  
Sanne Tent ◽  
Sanne Ter Horst ◽  
...  
Keyword(s):  
Acute Care ◽  
De Novo ◽  
Medical Center ◽  
Large Data ◽  
Future Research ◽  
Imaging Data ◽  
Novel Studies ◽  
Long Term Follow Up ◽  
Registration Number

PurposeResearch in acute care faces many challenges, including enrolment challenges, legal limitations in data sharing, limited funding and lack of singular ownership of the domain of acute care. To overcome these challenges, the Center of Acute Care of the University Medical Center Groningen in the Netherlands, has established a de novo data, image and biobank named ‘Acutelines’.ParticipantsClinical data, imaging data and biomaterials (ie, blood, urine, faeces, hair) are collected from patients presenting to the emergency department (ED) with a broad range of acute disease presentations. A deferred consent procedure (by proxy) is in place to allow collecting data and biomaterials prior to obtaining written consent. The digital infrastructure used ensures automated capturing of all bed-side monitoring data (ie, vital parameters, electrophysiological waveforms) and securely importing data from other sources, such as the electronic health records of the hospital, ambulance and general practitioner, municipal registration and pharmacy. Data are collected from all included participants during the first 72 hours of their hospitalisation, while follow-up data are collected at 3 months, 1 year, 2 years and 5 years after their ED visit.Findings to dateEnrolment of the first participant occurred on 1 September 2020. During the first month, 653 participants were screened for eligibility, of which 180 were approached as potential participants. In total, 151 (84%) provided consent for participation of which 89 participants fulfilled criteria for collection of biomaterials.Future plansThe main aim of Acutelines is to facilitate research in acute medicine by providing the framework for novel studies and issuing data, images and biomaterials for future research. The protocol will be extended by connecting with central registries to obtain long-term follow-up data, for which we already request permission from the participant.Trial registration numberNCT04615065.

scholarly journals Long-Term Follow-Up of Denosumab Discontinuers with Multiple Vertebral Fractures in the Real-World: A Case Series

2021 ◽  
Author(s):  
Liana Tripto-Shkolnik ◽  
Yair Liel ◽  
Naama Yekutiel ◽  
Inbal Goldshtein
Keyword(s):  
Real World ◽  
Vertebral Fractures ◽  
Clinical Laboratory ◽  
Case Series ◽  
High Risk Group ◽  
Imaging Data ◽  
Long Term Follow Up ◽  
Multiple Vertebral Fractures

AbstractDenosumab discontinuation is associated with rapid reversal of bone turnover suppression and with a considerable increase in fracture risk, including a risk for multiple vertebral fractures (MVF). Long-term follow-up of patients who sustained MVF after denosumab discontinuation has not been reported. This case-series was aimed to provide a long-term follow-up on the management and outcome of denosumab discontinuers who initially presented with multiple vertebral fractures. Denosumab discontinuers were identified from a computerized database of a large healthcare provider. Baseline and follow-up clinical, laboratory, and imaging data were obtained from the computerized database and electronic medical records. The post-denosumab discontinuers MVF patients consisted of 12 women aged 71±12. Osteoporotic fractures were prevalent before denosumab discontinuation in 6 of the patients. The majority received bisphosphonates before denosumab. MVF occurred 134±76 days after denosumab discontinuation. The patients were followed for a median of 36.5 (IQR 28.2, 42.5) months after MVF. Two patients passed-away. Two patients suffered recurrent vertebral fractures. Following MVF, patients were treated inconsistently with denosumab, teriparatide, oral, and intravenous bisphosphonates, in various sequences. Two patients underwent vertebroplasty/kyphoplasty. This long-term follow-up of real-world patients with MVF following denosumab discontinuation reveals that management is inconsistent, and recurrent fractures are not uncommon. It calls for clear management guidelines for patients with MVF after denosumab discontinuation and for special attention to this high-risk group.

Notch signalling becomes transiently attenuated during long-term memory consolidation in adult Wistar rats

2007 ◽  
Vol 88 (3) ◽  
pp. 342-351 ◽  
Author(s):  
Lisa Conboy ◽  
Claire M. Seymour ◽  
Marco P. Monopoli ◽  
Niamh C. O’Sullivan ◽  
Keith J. Murphy ◽  
...  
Keyword(s):  
Memory Consolidation ◽  
Wistar Rats ◽  
Notch Signalling ◽  
Long Term Memory ◽  
Term Memory

Variability of epileptiform activity in long-term EEGs with short and long intervals in children with epilepsy

2000 ◽  
Vol 111 (1) ◽  
pp. 128-133 ◽  
Author(s):  
Maria Dahlin ◽  
Arne Nergårdh ◽  
Per Amark ◽  
Evert Knutsson
Keyword(s):  
Epileptiform Activity

Machine Learning for Neurodegenerative Disorder Diagnosis — Survey of Practices and Launch of Benchmark Dataset

2018 ◽  
Vol 27 (03) ◽  
pp. 1850011 ◽  
Author(s):  
Athanasios Tagaris ◽  
Dimitrios Kollias ◽  
Andreas Stafylopatis ◽  
Georgios Tagaris ◽  
Stefanos Kollias
Keyword(s):  
Machine Learning ◽  
Neurodegenerative Disorder ◽  
Developed Countries ◽  
Machine Learning Techniques ◽  
Network Architectures ◽  
Imaging Data ◽  
Learning Techniques ◽  
Medical Examinations

Neurodegenerative disorders, such as Alzheimer’s and Parkinson’s, constitute a major factor in long-term disability and are becoming more and more a serious concern in developed countries. As there are, at present, no effective therapies, early diagnosis along with avoidance of misdiagnosis seem to be critical in ensuring a good quality of life for patients. In this sense, the adoption of computer-aided-diagnosis tools can offer significant assistance to clinicians. In the present paper, we provide in the first place a comprehensive recording of medical examinations relevant to those disorders. Then, a review is conducted concerning the use of Machine Learning techniques in supporting diagnosis of neurodegenerative diseases, with reference to at times used medical datasets. Special attention has been given to the field of Deep Learning. In addition to that, we communicate the launch of a newly created dataset for Parkinson’s disease, containing epidemiological, clinical and imaging data, which will be publicly available to researchers for benchmarking purposes. To assess the potential of the new dataset, an experimental study in Parkinson’s diagnosis is carried out, based on state-of-the-art Deep Neural Network architectures and yielding very promising accuracy results.

scholarly journals Memory Consolidation for Contextual and Auditory Fear Conditioning Is Dependent on Protein Synthesis, PKA, and MAP Kinase

1999 ◽  
Vol 6 (2) ◽  
pp. 97-110 ◽  
Author(s):  
Glenn E. Schafe ◽  
Nicole V. Nadel ◽  
Gregory M. Sullivan ◽  
Alexander Harris ◽  
Joseph E. LeDoux
Keyword(s):  
Protein Synthesis ◽  
Map Kinase ◽  
Fear Conditioning ◽  
Memory Consolidation ◽  
Molecular Mechanisms ◽  
Short Term Memory ◽  
Long Term Potentiation ◽  
Fear Memory ◽  
Term Memory

Fear conditioning has received extensive experimental attention. However, little is known about the molecular mechanisms that underlie fear memory consolidation. Previous studies have shown that long-term potentiation (LTP) exists in pathways known to be relevant to fear conditioning and that fear conditioning modifies neural processing in these pathways in a manner similar to LTP induction. The present experiments examined whether inhibition of protein synthesis, PKA, and MAP kinase activity, treatments that block LTP, also interfere with the consolidation of fear conditioning. Rats were injected intraventricularly with Anisomycin (100 or 300 μg), Rp-cAMPS (90 or 180 μg), or PD098059 (1 or 3 μg) prior to conditioning and assessed for retention of contextual and auditory fear memory both within an hour and 24 hr later. Results indicated that injection of these compounds selectively interfered with long-term memory for contextual and auditory fear, while leaving short-term memory intact. Additional control groups indicated that this effect was likely due to impaired memory consolidation rather than to nonspecific effects of the drugs on fear expression. Results suggest that fear conditioning and LTP may share common molecular mechanisms.

Australian Indigenous Ochres

2021 ◽  
Author(s):  
Jillian Huntley
Keyword(s):  
Cultural Landscapes ◽  
Cultural Practices ◽  
Distribution Patterns ◽  
Archaeological Sites ◽  
Theoretical Frameworks ◽  
Long Distance ◽  
Novel Studies ◽  
Trade And Exchange ◽  
Key Terms

Aboriginal Australians use ochre in varied cultural practices. It is found in the earliest to most recent archaeological sites and geographically across the wide-ranging geological and climatic contexts of the continent. Ochre’s importance in Aboriginal societies, coupled with its availability across Australia and its long-term durability, has led to a ubiquitous archaeological presence with considerable potential to study past cultural landscapes and intergroup interactions, including long-distance trade and exchange. Concentrating on scientific sourcing analyses, this article highlights the benefits of archaeopigment research, defining key terms (ochre, provenience, and provenance) and the technicalities of sourcing studies before discussing theoretical frameworks used in interpretations of ochre distribution patterns. The article argues that as we move away from novel studies on ethnographically well-known source locations into applied research, exceptional Australian records are well placed to investigate territoriality, mobility, intergroup and human–landscape interactions, and to explore the catalysts driving cultural diversity.

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