Functional Brain Connectivity Studies
19 researchers across 4 institutions
Researchers explore how different regions of the brain communicate and interact to support cognitive functions, emotions, and behaviors. This field employs advanced neuroimaging techniques, such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), to map brain activity and analyze patterns of connectivity. Studies investigate both typical brain function and how these networks are altered in various neurological and psychiatric conditions. Specific areas of inquiry include understanding the neural basis of learning, memory, decision-making, and social cognition, as well as examining disruptions in brain connectivity associated with conditions like Alzheimer's disease, schizophrenia, and depression.
This research holds relevance for Arkansas by informing public health initiatives aimed at understanding and treating neurological and mental health disorders prevalent in the state. Insights gained can contribute to developing more effective diagnostic tools and therapeutic interventions, potentially improving healthcare outcomes for citizens. Furthermore, advancements in understanding brain function can support educational strategies and workforce development by shedding light on cognitive processes related to learning and skill acquisition.
Work in functional brain connectivity draws on expertise from medical imaging, neuroscience, psychology, and computer science. The research involves a collaborative network of scientists across multiple Arkansas institutions, fostering interdisciplinary approaches to complex questions about the human brain.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Daeyeol Lee | Arkansas Tech University | 62 | 13,090 | ||
| J. L. Mehta | UAMS | 45 | 6,170 | High Impact | |
| Charles M. Glasier | UAMS | 36 | 3,491 | High Impact | |
| Linda Larson‐Prior | UAMS | 25 | 5,909 | High Impact | |
| Woodrow L. Shew | University of Arkansas | 24 | 4,106 | Grant PI | |
| Mary Phillips | UAMS | 23 | 2,267 | High Impact | |
| Xiawei Ou | UAMS | 20 | 1,382 | ||
| Keith Bush | UAMS | 18 | 2,405 | Grants | |
| Shree Hari Gautam | University of Arkansas | 13 | 545 | ||
| Clint Kilts | UAMS | 12 | 824 | ||
| Heather M. Hudson | University of Central Arkansas | 12 | 609 | ||
| Jung Eun Shin | UAMS | 11 | 393 | ||
| Jayne Bellando | UAMS | 11 | 805 | ||
| Srimoy Chakraborty | University of Arkansas | 2 | 29 | Grant PI | |
| Luke W Livingston | UAMS | 1 | 9 | ||
| George James | UAMS | 0 | 0 | Grant PI | |
| Linda Larson-Prior | UAMS | 0 | 0 | ||
| Allie Burgess | University of Arkansas | 0 | 0 | ||
| Sienna Colonese | UAMS | 0 | 0 |
Related Research Areas
Strategic Outlook
Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW
Top US institutions in this area
- 1 Harvard University 6,712
- 2 Massachusetts General Hospital 4,401
- 3 Yale University 3,730
- 4 University of Pennsylvania 3,124
- 5 Stanford University 3,038
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Functional Brain Connectivity Studies.