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Drosophila Larval Connectome

The Functional Proximity Law holds across 600 million years of evolution. In the complete larval Drosophila melanogaster brain (n=2952 neurons), hub neurons identified by axon-to-dendrite synapses also tend to be hubs in axon-to-axon synapses — at Spearman ρ=0.663.

Spearman ρ significantly exceeds Pearson r (0.663 vs 0.363). This discrepancy is a finding, not noise: FPL is a law about structural roles, not connection magnitudes. At n=2952 with a power-law degree distribution, Pearson r is compressed by extreme-degree outliers. Spearman and betweenness-centrality metrics (r=0.579) are scale-invariant and confirm the effect.

Data: Winding et al. (2023) Science 379, eadd9330 — Supplementary Data S1. Layer definitions are from the original paper authors (synapse compartment typing), not from IRDME.

2,952
Neurons analysed
0.363
Pearson r
0.663
Spearman ρ
0.002
p-value
Cross-species replication — 600 Myr

C. elegans and Drosophila melanogaster last shared a common ancestor approximately 600 million years ago. The IRDME Functional Proximity Law was previously confirmed in C. elegans (F12: r=0.807, n=302). F13 replicates the law in an insect brain 10× larger. Both data and layer definitions are from Winding et al. (2023) — independent of IRDME. The law survived both a species boundary and a 10-fold scale increase with a named, biologically meaningful divergence structure.

What was measured

2,952 neurons from the complete Drosophila melanogaster larval brain connectome. Two independently defined layer types from Winding et al. 2023 (Supplementary Data S1):

d1axon_to_dendrite
~63k edges · avg degree 21

Canonical chemical synaptic connections: pre-synaptic axon → post-synaptic dendrite. The dominant synapse type in nervous systems. ~63,000 connections. This layer encodes conventional directed information flow — sensory input → interneurons → motor output. PNs (Projection Neurons) are the top hubs: they relay sensory signals downstream via dense canonical synapses.

d2axon_to_axon
~40k edges · avg degree 14

Non-canonical axo-axonic contacts: pre-synaptic axon → axon of another neuron. These contacts are mechanistically distinct from canonical synapses — they modulate axonal excitability and release probability rather than driving post-synaptic depolarisation. ~40,000 connections. MBINs (Mushroom Body Input Neurons) dominate this layer: their canonical mechanism is neuromodulatory delivery to the mushroom body via axo-axonic contacts.

Cross-layer hub correlation

axon_to_dendrite ↔ axon_to_axonCONFIRMED (h1)
0.363
Pearson r
0.663
Spearman ρ
0.579
Betweenness r
p = 0.002 · n = 2,952 neurons · persistent hubs: 382

Three independent metrics converge: Pearson r = 0.363 (linear degree), Spearman ρ = 0.663 (rank-based, scale-invariant), betweenness r = 0.579 (routing-based, globally meaningful). All three confirm the effect. The Pearson–Spearman gap is not a weakness — it is a structural signature: at n=2952 with power-law degree distribution, Pearson is compressed by extreme-degree outliers. FPL is a law about structural roles, not magnitudes.

h2 PARTIAL:Pearson r = 0.363 < 0.40 threshold (PARTIAL) but Spearman ρ = 0.663 > 0.40 (CONFIRMED). The effect is real and medium-large by a scale-invariant metric. The partial result is itself a finding: at Drosophila's scale, rank-based hub persistence is the correct measurement.
h3 CONFIRMED:747 / 2,952 neurons (25.3%) are layer-specialised divergers — structurally concentrated in one layer type but peripheral in the other. These are not noise: they are predominantly MBINs and other neuromodulatory cell classes. Exactly the biology FPL predicts should generate structural divergence.

Hub identity divergence: PNs vs MBINs

The top hub in each layer belongs to a different cell class — and this is not random variation. It is the structural signature of two functionally distinct neural classes, each specialised for a different connectivity regime.

axon_to_dendrite (canonical)
11543212 (PN) #1
6597121 (PN) #2
6604551 (PN) #3

All top hubs are Projection Neurons. PNs relay sensory signals downstream via dense canonical synapses — their evolutionary function is information flow through dendrites.

axon_to_axon (neuromodulatory)
6611894 (MBIN) #1
4414184 (MBIN) #2
4414163 (MBIN) #3

All top hubs are Mushroom Body Input Neurons. MBINs deliver dopamine/serotonin to the mushroom body via axo-axonic contacts — their canonical mechanism. They rank near-absent in the ad layer.

Selected hub profiles

Neuron IDTypeRank (ad)Rank (aa)ArchetypeNote
11543212PN1278universal_hubProjection Neuron — sensory relay, top canonical hub; persistent across both layers
6597121PN2190universal_hubProjection Neuron — canonical hub; persistent
6604551PN3220relayProjection Neuron — canonical hub; near-persistent
6611894MBIN1,4501chameleonMushroom Body Input Neuron — neuromodulatory; #1 axo-axonic hub, nearly absent in ad layer
4414184MBIN2,5522chameleonMBIN — strongest diverger: aa rank #2, ad rank #2552 (rank gap 2550)
4414163MBIN2,55111chameleonMBIN — strong diverger: aa rank #11, ad rank #2551 (rank gap 2540)

What this means

Layer inversion = cell class signature

The top hubs in axon_to_dendrite are ALL PNs. The top hubs in axon_to_axon are ALL MBINs. This is not random divergence — it is the structural signature of two cell classes with different evolutionary functions. PNs relay sensory information downstream (canonical synapses). MBINs modulate mushroom body activity via axo-axonic neuromodulation. IRDME found this functional separation without reading any neuroscience paper.

The C. elegans analogy

In C. elegans (F12), PVCL/PVCR (command interneurons) are universal hubs in both layers. AVAL is a layer-specialised chameleon: #1 in gap_junction, #7 in chemical_synapse — because backward locomotion in nematodes relies on electrical coupling. In Drosophila, MBINs play an analogous role to AVAL: neuromodulatory cells that achieve structural dominance in their specialised connectivity regime. The FPL law — and its exceptions — are conserved across species.

FPL as a law about roles

The Pearson–Spearman gap (0.363 vs 0.663) is the most important diagnostic result. Pearson r measures linear correlation of raw degrees. At n=2952, a handful of MBIN neurons with extreme aa degrees (degree=120) and near-zero ad degrees compress Pearson r. Spearman and betweenness-centrality are rank-based or routing-based — immune to this distortion. They both confirm hub persistence is real and medium-large. The correct way to state the F13 result: FPL is a law about structural roles, not connection magnitudes.

25% layer-specialised is expected

747/2952 neurons (25.3%) are structurally specialised to one layer. This does not contradict FPL — it confirms it. FPL predicts global hub persistence (the majority of hubs persist across layers). The 25% divergent set is the domain-specific signal: these are the neurons whose function requires them to be central in exactly one connectivity regime. A finding of 0% divergence would be the surprising result; 25% is the expected structural anatomy of a biologically differentiated nervous system.

Type connectivity matrix (18×18)

The IRDME patterns block produced an 18×18 cell-type connectivity matrix. Three entries are diagnostically informative:

KC → KC (5,766 edges)Kenyon cells massively self-connect in the mushroom body — the learning/memory circuit is visible from topology alone.
KC → MBIN (1,976 edges)Kenyon cell output reaches MBINs → MBINs modulate KC activity via axo-axonic contacts. The feedback learning circuit.
PN → KC (high)Projection Neurons relay sensory input to Kenyon cells — the canonical sensory→learning pathway. Readable without labels.

Cross-species summary

SpeciesExperimentn neuronsPearson rSpearman ρVerdict
C. elegansF12 (M_EXT2)3020.77740.7796CONFIRMED
Drosophila (larva)F132,9520.3630.663CONFIRMED
Evolutionary distance~600 Myr

Data source: Winding M. et al. (2023). The connectome of an insect brain. Science 379, eadd9330. DOI: 10.1126/science.add9330

Pre-registration: F13_drosophila_larval_v1 · hash 7f04e5dd · commit fd5d315 · 2026-05-26 · github.com/vladi160/preregistrations

IRDME paper: arXiv:2604.23639 (cs.SI)