TY  - JOUR
AU  - Emery, Brett Addison
AU  - Hu, Xin
AU  - Klütsch, Diana
AU  - Khanzada, Shahrukh
AU  - Larsson, Ludvig
AU  - Dumitru, Ionut
AU  - Frisén, Jonas
AU  - Lundeberg, Joakim
AU  - Kempermann, Gerd
AU  - Amin, Hayder
TI  - MEA-seqX: High-Resolution Profiling of Large-Scale Electrophysiological and Transcriptional Network Dynamics.
JO  - Advanced science
VL  - 12
IS  - 20
SN  - 2198-3844
CY  - Weinheim
PB  - Wiley-VCH
M1  - DZNE-2025-00655
SP  - 2412373
PY  - 2025
AB  - Concepts of brain function imply congruence and mutual causal influence between molecular events and neuronal activity. Decoding entangled information from concurrent molecular and electrophysiological network events demands innovative methodology bridging scales and modalities. The MEA-seqX platform, integrating high-density microelectrode arrays, spatial transcriptomics, optical imaging, and advanced computational strategies, enables the simultaneous recording and analysis of molecular and electrical network activities at mesoscale spatial resolution. Applied to a mouse hippocampal model of experience-dependent plasticity, MEA-seqX unveils massively enhanced nested dynamics between transcription and function. Graph-theoretic analysis reveals an increase in densely connected bimodal hubs, marking the first observation of coordinated hippocampal circuitry dynamics at molecular and functional levels. This platform also identifies different cell types based on their distinct bimodal profiles. Machine-learning algorithms accurately predict network-wide electrophysiological activity features from spatial gene expression, demonstrating a previously inaccessible convergence across modalities, time, and scales.
KW  - Animals
KW  - Mice
KW  - Hippocampus: physiology
KW  - Hippocampus: metabolism
KW  - Gene Regulatory Networks: genetics
KW  - Electrophysiological Phenomena: physiology
KW  - Gene Expression Profiling: methods
KW  - Neuronal Plasticity: physiology
KW  - Neurons: physiology
KW  - Machine Learning
KW  - AI machine‐learning (Other)
KW  - connectome (Other)
KW  - experience‐dependent plasticity (Other)
KW  - large‐scale neural recordings (Other)
KW  - predictive modeling (Other)
KW  - spatial transcriptomics (Other)
KW  - spatiotemporal dynamics (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:40304297
C2  - pmc:PMC12120740
DO  - DOI:10.1002/advs.202412373
UR  - https://pub.dzne.de/record/278929
ER  -