🔬 Key Findings
1️⃣ Brain-Wide Connectivity:
_ Using fMRI data from 800+ individuals, researchers found that intelligence arises from distributed communication networks across the entire brain.
_ General intelligence correlates strongly with global brain connectivity during both rest and task performance.
2️⃣ Types of Intelligence Studied:
_ Fluid Intelligence: Problem-solving and pattern recognition without prior knowledge.
_ Crystallized Intelligence: Skills and knowledge gained from learning and experience.
3️⃣ Global Brain Involvement:
_ Intelligence is not localized to specific areas (e.g., prefrontal cortex) but involves widespread neural connections.
_ Previously unexplored brain connections enhance understanding of intelligence.

🧠 Complementary Connections:
_ Merging traditional neurocognitive connections with new ones improved the accuracy of intelligence predictions.
_ Uncovers untapped dimensions for future research.

🌟 Implications:
+ Shift in Neuroscience Focus:
_ Dr. Kirsten Hilger emphasizes understanding intelligence through the lens of complex neural networks, moving from prediction to explanation.
+ Future Potential:
_ This study refines our view of human cognition and neural architecture, paving the way for more nuanced investigations.

📚 Reference:
Jonas A. Thiele et al., PNAS Nexus, 2024. DOI: 10.1093/pnasnexus/pgae519

#Neuroscience #HumanIntelligence #BrainConnectivity #FluidIntelligence #CrystallizedIntelligence #ScientificBreakthrough #BrainResearch #CognitiveScience #IntelligenceStudy #MachineLearning

свернуть