An energy costly architecture of neuromodulators for human brain evolution and cognition

Gabriel Castrillon, Samira Epp, Antonia Bose, Laura Fraticelli, Andre Hechler, Roman Belenya, Andreas Ranft, Igor Yakushev, Lukas Utz, Lalith Sundar, Josef P Rauschecker, Christine Preibisch, Katarzyna Kurcyus, Valentin Riedl

Code   Data   95 citations

I audited where all the sugar is spent in the 🧠, generating a map of the energetic costs, interpreted from evolutive, cytoarchitectural, molecular, and cognitive points of view.

BOLD signal changes can oppose oxygen metabolism across the human cortex

Samira Epp, Gabriel Castrillon, Beijia Yuan, Jessica Andrews-Hanna, Christine Preibisch, Valentin Riedl

Code   Data   33 citations

Samira showed that roughly 40% of robust BOLD voxels flip their oxygen‑metabolism response, exposing two distinct hemodynamic modes.

Metabolism-weighted brain connectome reveals synaptic integration and vulnerability to neurodegeneration

Mahnaz Ashrafi, Laura Fraticelli, Gabriel Castrillon, Valentin Riedl

Code   Data  

Mahnaz showed that the brain’s hungriest regions drive our smartest thinking, but that same hard work makes them more vulnerable to neurodegeneration later in life.

Simultaneous quantification of oxygen and glucose consumption during visual stimulation in the human cortex

Antonia Bose & Samira Epp, Roman Belenya, Katarzyna Kurcyus, Eric Ceballos Dominguez, Andreas Ranft, Eliana Salas Villa, Moritz Bursche, Christine Preibisch, Gabriel Castrillon & Valentin Riedl

Code   Data   Data  

We simultaneously measured CMRO2 and CMRglc for the first time, showing an increase in glucose metabolism without a corresponding rise in oxygen consumption, which suggests an enhanced glycolytic metabolism during brain activity.

The control costs of human brain dynamics

Eric Ceballos Dominguez, Andrea I. Luppi, Gabriel Castrillon, Manish Saggar, Bratislav Misic, Valentin Riedl

Code   Data   20 citations

Eric showed that the brain balances functional efficiency and energy conservation by minimizing costly transitions between different activity states using network control theory.