TY  - JOUR
AU  - Chan, Chi Wai
AU  - Chen, Nannan
AU  - Hernandez, John
AU  - Meltzer, Hagar
AU  - Park, Annie
AU  - Stahl, Aaron
TI  - Future avenues in Drosophila mushroom body research.
JO  - Learning & memory
VL  - 31
IS  - 5
SN  - 1072-0502
CY  - Plainview, NY
PB  - Cold Spring Harbor Laboratory Press
M1  - DZNE-2024-00758
SP  - a053863
PY  - 2024
AB  - How does the brain translate sensory information into complex behaviors? With relatively small neuronal numbers, readable behavioral outputs, and an unparalleled genetic toolkit, the Drosophila mushroom body (MB) offers an excellent model to address this question in the context of associative learning and memory. Recent technological breakthroughs, such as the freshly completed full-brain connectome, multiomics approaches, CRISPR-mediated gene editing, and machine learning techniques, led to major advancements in our understanding of the MB circuit at the molecular, structural, physiological, and functional levels. Despite significant progress in individual MB areas, the field still faces the fundamental challenge of resolving how these different levels combine and interact to ultimately control the behavior of an individual fly. In this review, we discuss various aspects of MB research, with a focus on the current knowledge gaps, and an outlook on the future methodological developments required to reach an overall view of the neurobiological basis of learning and memory.
KW  - Mushroom Bodies: physiology
KW  - Animals
KW  - Drosophila: physiology
KW  - Memory: physiology
KW  - Association Learning: physiology
LB  - PUB:(DE-HGF)16
C2  - pmc:PMC11199946
C6  - pmid:38862172
DO  - DOI:10.1101/lm.053863.123
UR  - https://pub.dzne.de/record/270187
ER  -