Physiological Basis of Memory Dysfunction in Alzheimer’s Disease – An Overview
Bibliographic record
Abstract
Alzheimer’s disease (AD) is a neuro-degenerative disease, causing gradual decline in memory function in the affected patients. The loss of memory makes their existence miserable. It is first noticed and reported by the patient’s care takers. The clinicians objectively assess the type and degree of the memory loss by a specific battery of tests, specially designed for the purpose (like Montreal Cognitive Assessment (MoCA) test., Mini-Mental State Exam (MMSE etc.)). Understanding the symptoms of AD, arising out of memory loss, requires deeper insights into what initiates the memory (the sensory inputs from the five sense organs), the different types of memories (explicit, implicit memories, their sub types and associative memory etc.), how the memory signals are modified at the level of the neuron, (analog to digital signals) and the synapse (sensitization, habituation and Long term potentiation / depression etc.), the processing that the inputs received , undergo (encoding, consolidation /organization, storage and retrieval) in higher brain centres (amygdala, hippocampus prefrontal vortex etc.) and also the role played by the various receptors (NMDA, AMPA and the kinase receptors), the neurotransmitters (acetylcholine, Norepineprine, Gama aminobutic acid, serotonin etc.), the central network systems involved (central executive network, salience network, and the default mode network). In short, it is the study all about, of the physiology of memory. The next step is to integrate this knowledge to interpret symptoms of patients with AD. Accordingly, the subject under discussion is dealt with in two parts. Firstly, how the memory is affected in AD and secondly the physiology behind these changes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".