Related Experiment Video
Updated: May 31, 2026
09:35
Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
Published on: March 10, 2017
Alpha and theta rhythm abnormality in Alzheimer's Disease: a study using a computational model
Basabdatta Sen Bhattacharya1, Damien Coyle, Liam P Maguire
1University of Ulster, Magee Campus, Northland Road, Derry BT48 7JL, Northern Ireland, UK. bs.bhattacharya@ulster.ac.uk
Advances in Experimental Medicine and Biology
|July 12, 2011
Summary
Computational modeling of thalamocortical circuits reveals how altered connectivity influences brain rhythms in Alzheimer's Disease (AD). Changes in inhibitory pathways slow brain oscillations, offering potential biomarkers for early AD detection.
Area of Science:
- Computational neuroscience
- Neurodegenerative diseases
- Brain oscillations
Background:
- Alzheimer's Disease (AD) is associated with altered electroencephalography (EEG) power spectra, specifically reduced alpha band and increased theta band activity.
- Thalamocortical circuitry is implicated in the generation and modulation of alpha and theta rhythms, suggesting its role in AD-related EEG changes.
Purpose of the Study:
- To understand the neuronal mechanisms behind EEG band power alterations observed in Alzheimer's Disease (AD).
- To explore the potential of these mechanisms as biomarkers for early AD detection and neuropharmaceutical research.
- To investigate how changes in thalamocortical and sensory input pathways affect oscillatory behavior in a computational model.
Main Methods:
- Utilized a computational model of thalamocortical circuitry that exhibits theta and alpha band oscillations.
- Modified synaptic organization and connectivity parameters based on experimental data from the cat thalamus.
- Analyzed changes in the model's oscillatory behavior in response to modifications in connectivity parameters.
Main Results:
- The inhibitory neural population critically mediates the model's oscillatory output.
- Increased connectivity in the afferent and efferent pathways of the inhibitory population led to a slowing of the output power spectra.
- These findings suggest a link between altered connectivity, specifically within inhibitory circuits, and the characteristic EEG slowing observed in AD.
Conclusions:
- The study highlights the significant role of inhibitory populations in thalamocortical networks for generating oscillatory patterns relevant to AD.
- Modulations in connectivity parameters, particularly those affecting inhibitory pathways, can replicate the slowing of brain rhythms seen in AD.
- The developed computational model provides a framework for further research into AD pathophysiology and the development of novel therapeutic strategies.
Related Concept Videos
01:23Alzheimer Disease ll: Pathophysiology
Alzheimer disease involves structural changes in the brain that begin long before symptoms appear. The most distinctive features are extracellular neuritic plaques and intracellular neurofibrillary tangles.Neuritic plaques form in the cerebral cortex and around blood vessels. These plaques contain a dense core of beta-amyloid (Aβ)—a toxic protein fragment that clumps outside neurons. The core is surrounded by damaged neuronal extensions, as well as reactive astrocytes and microglia. Abnormal...
01:29Alzheimer Disease l: Introduction
Alzheimer disease is a chronic, progressive, and irreversible neurodegenerative disorder and the most common cause of dementia in older adults. It leads to gradual neuronal loss, causing cognitive decline, behavioral changes, and loss of functional independence.Risk Factors and EtiologyThe disease is multifactorial. Age is the strongest risk factor, with prevalence doubling every 5 years after age 65. Genetic factors include mutations in genes such as APP, PSEN1, and PSEN2, which are associated...
01:26Alzheimer's Disease: Overview
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...
01:22Dementia l: Introduction
Dementia is an acquired, progressive syndrome characterized by a decline in multiple cognitive domains severe enough to impair daily functioning and reduce independence. Although memory loss is a central feature, the diagnosis requires additional deficits involving language, executive function, visuospatial skills, judgment, calculation, or abstract reasoning. These cognitive impairments reflect underlying neurodegenerative or vascular processes that gradually disrupt neuronal networks...