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Updated: Jan 9, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
Non-Invasive Brain Stimulation in Dementia: A Complex Network Story
Lorenzo Pini1,2, Rosa Manenti3, Maria Cotelli3
1Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Non-invasive brain stimulation (NIBS) shows promise for neurodegenerative diseases by altering brain networks. This review explores how NIBS impacts functional connectivity and metabolites, offering insights into recovery mechanisms.
Area of Science:
- Neuroscience
- Neurology
- Rehabilitation Medicine
Background:
- Non-invasive brain stimulation (NIBS) is a developing therapeutic approach for neurodegenerative diseases.
- The precise mechanisms underlying NIBS efficacy remain incompletely understood.
- Neurodegenerative disorders are often characterized by aberrant functional connectivity within large-scale neural networks.
Purpose of the Study:
- To review and synthesize findings from brain imaging studies investigating the therapeutic mechanisms of NIBS.
- To elucidate the relationship between NIBS-induced changes in functional connectivity and metabolites.
- To provide a network-based perspective on NIBS applications in neurodegenerative disorders, particularly dementia.
Main Methods:
- Review of studies combining non-invasive brain stimulation (NIBS) with neuroimaging techniques.
- Analysis of resting-state functional magnetic resonance imaging (rs-fMRI) data to assess network modifications.
- Examination of magnetic resonance spectroscopy (MRS) findings to correlate microscale metabolic changes with network alterations.
- Re-evaluation of existing NIBS studies in dementia through a network connectivity lens.
Main Results:
- NIBS can induce complex modifications in large-scale brain networks, affecting both local and distal regions.
- Studies combining NIBS with rs-fMRI reveal how stimulation parameters influence network dynamics.
- Magnetic resonance spectroscopy (MRS) data suggest a link between microscale metabolic changes and macroscale network alterations following NIBS.
- A network perspective reframes the understanding of NIBS effects in conditions like dementia.
Conclusions:
- Understanding the impact of NIBS on large-scale brain network functionality is crucial for optimizing therapeutic strategies.
- Integrating functional connectivity and metabolic data provides deeper insights into NIBS mechanisms.
- This network-centric approach may facilitate the development of more effective NIBS-based treatments for neurodegenerative disorders.
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