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Updated: Mar 15, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Social networks and neurological illness
Amar Dhand1, Douglas A Luke2, Catherine E Lang3
1Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, 45 Francis Street and at the Network Science Institute, Northeastern University, 177 Huntington Avenue, 11th Floor, Boston, Massachusetts 02115, USA.
Mapping patient social networks can improve neurological care. Understanding these connections helps manage health behaviors, medication adherence, and recovery for better patient outcomes.
Area of Science:
- Neurology
- Social Sciences
- Public Health
Background:
- Patient health outcomes are influenced by social networks.
- Social isolation significantly impacts health and neurobiology, similar to traditional risk factors.
- Neurologists often interact with patients' families and friends due to illness nature.
Purpose of the Study:
- To propose an agenda for research and clinical practice.
- To map personal networks of patients with neurological disorders.
- To evaluate network impact on patient outcomes and test interventions.
Main Methods:
- Mapping patient social networks.
- Analyzing influential individuals, habits, and linkage patterns.
- Evaluating the influence of social networks on health behaviors.
Main Results:
- Personal network information can enhance risk factor management.
- Network insights can improve medication adherence.
- Network interventions may aid functional recovery in neurological patients.
Conclusions:
- Mapping and utilizing patient social networks is crucial for neurological care.
- Understanding social dynamics can optimize treatment strategies.
- Future research should focus on network interventions for neurological disorders.
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