Related Experiment Video
Updated: Feb 4, 2026

09:42
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
2.1K
Disconnectomics: Stroke-related disconnection and dysfunction in distributed brain networks
Michele Veldsman1,2, Amy Brodtmann2,3,4,5
11 Department of Experimental Psychology, University of Oxford, Oxford, UK.
Summary
Stroke-induced brain damage impacts the entire connectome, not just localized areas. New methods analyzing brain connectivity offer better prediction of long-term outcomes and clinical syndromes than traditional lesion mapping.
Area of Science:
- Neuroscience
- Neurology
- Medical Imaging
Background:
- Clinical neuroscience historically linked localized brain damage to specific deficits.
- Stroke neurology established functional specialization but lesion-symptom mapping lacks prognostic value.
- Stroke is a major risk factor for dementia, necessitating improved predictive markers.
Purpose of the Study:
- To explore the potential of connectome-based analysis for understanding stroke outcomes.
- To investigate how focal brain lesions affect the interconnected brain system.
- To identify new markers for predicting long-term effects of stroke.
Main Methods:
- Analyzing brain damage within the context of the brain's complex network (connectome).
- Revisiting early theories on widespread effects of focal lesions with modern techniques.
- Utilizing sophisticated methods and large-scale datasets for connectivity analysis.
Main Results:
- Stroke damage is embedded within a dynamic and interconnected system, the connectome.
- Early theories on widespread lesion effects are being supported by new data and methods.
- Connectivity-derived metrics show potential for clinical translation despite technical challenges.
Conclusions:
- Connectome-based approaches offer significant potential for understanding stroke's widespread effects.
- These methods can illuminate clinical syndromes arising from diverse focal brain damage.
- Further research is needed to overcome technical challenges and enhance clinical applicability.
Related Concept Videos
Protein Networks
4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Protein Networks
2.9K
2.9K
Network Covalent Solids
16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Drug Distribution: Volume of Distribution
7.5K
The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
7.5K
F Distribution
10.7K
The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
10.7K
Regulation of Stroke Volume
5.2K
The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
5.2K

