NETWORK INTELLIGENCE ================================================================================ Source: Demo run 11ba5eedbec2 — Eyes Open (EO) [sample output only] The following sections summarize brain network operations: routing paths, bottlenecks, control nodes, stability, and intervention leverage. Propagation Path Validation ---------------------------------------- Directed propagation analysis of EEG connectivity using routing algorithms and network resilience modeling. The following metrics support robustness of reported paths. Metric Value Interpretation ---------------------------------------------------------- Path stability 0.06 Fraction of windows/sessions with same path Cross-band agreement 0.19 Consistency of path across frequency bands Perturbation sensitivity 1.00 Max fraction of paths rerouted by node removal Threshold stability N/A Optional threshold-sweep comparison Null model (path length) N/A Compare to random graph (same degree) when validation run Higher path stability and cross-band agreement indicate more reliable propagation paths. Perturbation sensitivity indicates network fragility (high = single points of failure). Uncertainty/confidence: path stability and threshold stability above; bootstrap stability (future). Network Control Analysis ---------------------------------------- Primary Driver Node: C3 (alpha network) Primary Sink Node: O2 Critical Bottleneck: F3 Traceroute path: T8 -> O1 -> F7 -> T7 -> P3 -> F3 -> Pz -> Fz -> P4 -> Cz -> ... Path capacity: 0.02 Relay bottleneck: T8 Network Control Node: - Training leverage score: 1.68 (high) Signal Routing Paths ---------------------------------------- alpha: T8 -> O1 -> F7 -> T7 -> P3 -> F3 -> Pz -> Fz -> ... (path capacity 0.02; relay bottleneck T8) alpha: C3 -> Fz -> Pz -> F3 -> P3 -> T7 -> F7 -> P7 -> ... (path capacity 0.01; relay bottleneck P4) alpha: C4 -> F3 -> Pz -> F7 -> T7 -> P3 -> P7 -> O2 -> ... (path capacity 0.01; relay bottleneck P3) alpha: Cz -> O2 -> P8 -> P4 -> F3 -> Pz -> F7 -> T7 -> ... (path capacity 0.01; relay bottleneck P3) alpha: O1 -> F7 -> T7 -> P3 -> F3 -> Pz -> Fz -> P4 -> ... (path capacity 0.02; relay bottleneck O1) beta: C4 -> Cz -> P3 -> F8 -> Pz -> P4 -> F7 -> Fp1 -> ... (path capacity 0.01; relay bottleneck Fp1) beta: Fz -> P3 -> F8 -> Pz -> Cz -> P7 -> P4 -> F7 -> ... (path capacity 0.01; relay bottleneck Fp1) beta: F8 -> Pz -> Cz -> P3 -> Fz -> P4 -> F7 -> Fp1 -> ... (path capacity 0.01; relay bottleneck Fp1) beta: Cz -> P3 -> F8 -> Pz -> P4 -> F7 -> Fp1 -> T7 -> ... (path capacity 0.01; relay bottleneck Fp1) beta: C3 -> Fz -> P3 -> F8 -> Pz -> Cz -> P7 -> P4 -> ... (path capacity 0.01; relay bottleneck Fp1) delta: F4 -> Fp2 -> O1 -> Fp1 -> F7 -> F3 -> F8 -> Pz -> ... (path capacity 0.02; relay bottleneck F4) delta: Fz -> Fp2 -> O1 -> Fp1 -> F7 -> F3 -> F8 -> Pz -> ... (path capacity 0.02; relay bottleneck Fz) delta: F3 -> F7 -> Fp1 -> O1 -> Fp2 -> C4 -> F8 -> Pz -> ... (path capacity 0.01; relay bottleneck Fp2) delta: F7 -> F3 -> Fp1 -> O1 -> Fp2 -> C4 -> F8 -> Pz -> ... (path capacity 0.01; relay bottleneck Fp2) delta: P3 -> P8 -> Pz -> P7 -> O2 -> Cz -> T7 -> F3 -> ... (path capacity 0.01; relay bottleneck T7) gamma: C3 -> F8 -> P7 -> O1 -> F4 -> Fz -> C4 -> T8 -> ... (path capacity 0.01; relay bottleneck T8) gamma: Fp2 -> F3 -> T7 -> P7 -> O1 -> F4 -> Fz -> C4 -> ... (path capacity 0.01; relay bottleneck F8) gamma: P4 -> P3 -> P7 -> O1 -> F4 -> Fz -> C4 -> T8 -> ... (path capacity 0.01; relay bottleneck Pz) gamma: P8 -> P3 -> P7 -> O1 -> F4 -> Fz -> C4 -> T8 -> ... (path capacity 0.01; relay bottleneck Pz) gamma: Cz -> Pz -> F8 -> P7 -> O1 -> F4 -> Fz -> C4 -> ... (path capacity 0.01; relay bottleneck T8) theta: P4 -> Pz -> Cz -> O1 -> O2 -> P7 -> T8 -> C3 -> ... (path capacity 0.01; relay bottleneck F3) theta: P7 -> O2 -> O1 -> Cz -> C3 -> T8 -> F8 -> C4 -> ... (path capacity 0.01; relay bottleneck T8) theta: F3 -> F7 -> C3 -> O1 -> Cz -> O2 -> P7 -> T8 -> ... (path capacity 0.01; relay bottleneck T8) theta: O2 -> O1 -> Cz -> C3 -> T8 -> P7 -> T7 -> P3 -> ... (path capacity 0.01; relay bottleneck P7) theta: F7 -> F3 -> C3 -> O1 -> Cz -> O2 -> P7 -> T8 -> ... (path capacity 0.01; relay bottleneck T8) Path / Routing Stability ---------------------------------------- alpha: Dominant path T8->O1->F7->T7->P3->F3->Pz->Fz->P4->Cz->O2->P8->O2 observed in 7% of epochs/sources. alpha: Dominant path stability: 0.07 alpha: Role agreement across epochs: driver: 100%, isolated: 100%, major_sink: 100%, relay: 100%, terminal_sink: 100%. alpha: Routing entropy: 3.907 T8->O1->F7->T7->P3->F3->Pz->Fz->P4->Cz->O2->P8->O2: 6.7% C3->Fz->Pz->F3->P3->T7->F7->P7->O2->Cz->P4->P8->O2: 6.7% C4->F3->Pz->F7->T7->P3->P7->O2->Cz->P4->Fz->O1->T8: 6.7% Cz->O2->P8->P4->F3->Pz->F7->T7->P3->P7->O1->T8->O1: 6.7% O1->F7->T7->P3->F3->Pz->Fz->P4->Cz->O2->P8->O2: 6.7% beta: Dominant path C4->Cz->P3->F8->Pz->P4->F7->Fp1->T7->O1->F3->P7->P8 observed in 5% of epochs/sources. beta: Dominant path stability: 0.05 beta: Role agreement across epochs: driver: 100%, major_sink: 100%, relay: 100%. beta: Routing entropy: 4.248 C4->Cz->P3->F8->Pz->P4->F7->Fp1->T7->O1->F3->P7->P8: 5.3% Fz->P3->F8->Pz->Cz->P7->P4->F7->Fp1->T7->O1->F3->P7: 5.3% F8->Pz->Cz->P3->Fz->P4->F7->Fp1->T7->O1->F3->P7->P8: 5.3% Cz->P3->F8->Pz->P4->F7->Fp1->T7->O1->F3->P7->P8->T8: 5.3% C3->Fz->P3->F8->Pz->Cz->P7->P4->F7->Fp1->T7->O1->F3: 5.3% delta: Dominant path F4->Fp2->O1->Fp1->F7->F3->F8->Pz->P7->O2->P8->P3->P8 observed in 6% of epochs/sources. delta: Dominant path stability: 0.06 delta: Role agreement across epochs: driver: 100%, major_sink: 100%, relay: 100%, terminal_sink: 100%. delta: Routing entropy: 4.170 F4->Fp2->O1->Fp1->F7->F3->F8->Pz->P7->O2->P8->P3->P8: 5.6% Fz->Fp2->O1->Fp1->F7->F3->F8->Pz->P7->O2->P8->P3->P8: 5.6% F3->F7->Fp1->O1->Fp2->C4->F8->Pz->P7->O2->P8->P3->P8: 5.6% F7->F3->Fp1->O1->Fp2->C4->F8->Pz->P7->O2->P8->P3->P8: 5.6% P3->P8->Pz->P7->O2->Cz->T7->F3->F7->Fp1->O1->Fp2->C4: 5.6% gamma: Dominant path C3->F8->P7->O1->F4->Fz->C4->T8->O2->Fp1->F3->T7->F3 observed in 5% of epochs/sources. gamma: Dominant path stability: 0.05 gamma: Role agreement across epochs: driver: 100%, major_sink: 100%, relay: 100%. gamma: Routing entropy: 4.248 C3->F8->P7->O1->F4->Fz->C4->T8->O2->Fp1->F3->T7->F3: 5.3% Fp2->F3->T7->P7->O1->F4->Fz->C4->T8->F8->P3->Fp1->O1: 5.3% P4->P3->P7->O1->F4->Fz->C4->T8->F8->C3->Cz->Pz->Fp2: 5.3% P8->P3->P7->O1->F4->Fz->C4->T8->F8->C3->Cz->Pz->Fp2: 5.3% Cz->Pz->F8->P7->O1->F4->Fz->C4->T8->O2->Fp1->F3->T7: 5.3% theta: Dominant path P4->Pz->Cz->O1->O2->P7->T8->C3->F7->F3->C4->F8->C4 observed in 5% of epochs/sources. theta: Dominant path stability: 0.05 theta: Role agreement across epochs: driver: 100%, major_sink: 100%, relay: 100%. theta: Routing entropy: 4.248 P4->Pz->Cz->O1->O2->P7->T8->C3->F7->F3->C4->F8->C4: 5.3% P7->O2->O1->Cz->C3->T8->F8->C4->Fz->P4->Pz->P3->T7: 5.3% F3->F7->C3->O1->Cz->O2->P7->T8->F8->C4->Fz->P4->Pz: 5.3% O2->O1->Cz->C3->T8->P7->T7->P3->Pz->P4->C4->F8->C4: 5.3% F7->F3->C3->O1->Cz->O2->P7->T8->F8->C4->Fz->P4->Pz: 5.3% Cross-Band Consistency ---------------------------------------- Global consistency: 0.190 (higher = backbone routing consistent across bands). Band-specific patterns; interpret with caution. Band-pair agreement: alpha – beta: path Jaccard=0.40, same end=0%, composite=0.19 alpha – delta: path Jaccard=0.35, same end=5%, composite=0.16 alpha – gamma: path Jaccard=0.28, same end=10%, composite=0.20 alpha – theta: path Jaccard=0.37, same end=5%, composite=0.14 beta – delta: path Jaccard=0.39, same end=10%, composite=0.21 beta – gamma: path Jaccard=0.35, same end=5%, composite=0.18 Perturbation Sensitivity (Network Resilience) ---------------------------------------- Remove Fp1 (delta): 100% paths affected; new sink(s): -; mean cost delta: -403.883 Remove Fp2 (delta): 100% paths affected; new sink(s): -; mean cost delta: -399.505 Remove F3 (delta): 100% paths affected; new sink(s): Pz; mean cost delta: -394.815 Remove F4 (delta): 100% paths affected; new sink(s): -; mean cost delta: -397.503 Remove C3 (delta): 100% paths affected; new sink(s): -; mean cost delta: -394.269 Remove C4 (delta): 100% paths affected; new sink(s): P3, P4; mean cost delta: -430.045 Remove P3 (delta): 100% paths affected; new sink(s): -; mean cost delta: -390.024 Remove P4 (delta): 100% paths affected; new sink(s): -; mean cost delta: -391.653 Remove O1 (delta): 100% paths affected; new sink(s): -; mean cost delta: -394.094 Remove O2 (delta): 100% paths affected; new sink(s): -; mean cost delta: -381.471 Remove F7 (delta): 100% paths affected; new sink(s): T7; mean cost delta: -401.707 Remove F8 (delta): 100% paths affected; new sink(s): Cz, O2, P7; mean cost delta: -405.112 Remove T7 (delta): 100% paths affected; new sink(s): -; mean cost delta: -389.472 Remove T8 (delta): 100% paths affected; new sink(s): -; mean cost delta: -404.564 Remove P7 (delta): 100% paths affected; new sink(s): -; mean cost delta: -382.659 Critical node ranking (by % paths affected): Fp1 (100%), Fp2 (100%), F3 (100%), F4 (100%), C3 (100%) Single points of failure (>30% impact): C3, C4, Cz, F3, F4, F7, F8, Fp1, Fp2, Fz, O1, O2, P3, P4, P7, P8, Pz, T7, T8 SIGNAL FLOW ACCUMULATION ---------------------------------------- alpha: max accumulator = O2 (flow=21.00), max source = C3 (flow=-1.00), mean throughput = 7.47 beta: max accumulator = Pz (flow=30.00), max source = O2 (flow=-1.00), mean throughput = 6.79 delta: max accumulator = P8 (flow=26.00), max source = Fz (flow=-1.00), mean throughput = 9.21 gamma: max accumulator = O1 (flow=25.00), max source = P8 (flow=-1.00), mean throughput = 9.84 theta: max accumulator = C4 (flow=22.00), max source = Fp2 (flow=-1.00), mean throughput = 9.89 COUNTERFACTUAL INTERVENTION MAP (LEVERAGE) ---------------------------------------- Careful: these are structural network observations, not prescriptions. NETWORK TRAFFIC THERMODYNAMICS (NEURAL WEATHER) ---------------------------------------- alpha: regime=fragmented_cool, entropy=1.000, temperature=0.057, free_energy=323.440, loop_pressure=0.000, viscosity=0.000 High path diversity (1.000) with low hub concentration (0.057) indicates fragmented but cool routing. beta: regime=flexible_cool, entropy=1.000, temperature=0.173, free_energy=439.381, loop_pressure=0.000, viscosity=0.000 Moderate-to-high entropy (1.000) with low temperature (0.173) and viscosity (0.000) suggest flexible, healthy routing. delta: regime=flexible_cool, entropy=1.000, temperature=0.128, free_energy=489.051, loop_pressure=0.000, viscosity=0.000 Moderate-to-high entropy (1.000) with low temperature (0.128) and viscosity (0.000) suggest flexible, healthy routing. gamma: regime=flexible_cool, entropy=1.000, temperature=0.239, free_energy=1083.379, loop_pressure=0.000, viscosity=0.000 Moderate-to-high entropy (1.000) with low temperature (0.239) and viscosity (0.000) suggest flexible, healthy routing. theta: regime=flexible_cool, entropy=1.000, temperature=0.144, free_energy=735.733, loop_pressure=0.000, viscosity=0.000 Moderate-to-high entropy (1.000) with low temperature (0.144) and viscosity (0.000) suggest flexible, healthy routing. provenance: traffic_thermodynamics.v1 EARLY WARNING INDICATORS (NEWS) ---------------------------------------- alpha network risk score: 0.45 (ELEVATED) Primary drivers: entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.23, entropy_norm=1.00, viscosity=0.00, intervention_sensitivity=1.00 beta network risk score: 0.54 (UNSTABLE) Primary drivers: temperature, entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.69, entropy_norm=1.00, viscosity=0.00, intervention_sensitivity=1.00 delta network risk score: 0.50 (UNSTABLE) Primary drivers: temperature, entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.51, entropy_norm=1.00, viscosity=0.00, intervention_sensitivity=1.00 gamma network risk score: 0.59 (UNSTABLE) Primary drivers: temperature, entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.96, entropy_norm=1.00, viscosity=0.00, intervention_sensitivity=1.00 theta network risk score: 0.52 (UNSTABLE) Primary drivers: temperature, entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.58, entropy_norm=1.00, viscosity=0.00, intervention_sensitivity=1.00 Interpretation: risk level reflects critical slowing down, hub load, loop pressure, and intervention sensitivity; elevated/critical suggests possible state transition. PATH CENTRALITY (INFORMATION HIGHWAYS) ---------------------------------------- alpha: backbone coverage = 100.0%, top paths: C3->Fz->Pz->F3->P3->T7->F7->P7->O2->Cz->P4->P8->O2 (7%), C4->F3->Pz->F7->T7->P3->P7->O2->Cz->P4->Fz->O1->T8 (7%), Cz->O2->P8->P4->F3->Pz->F7->T7->P3->P7->O1->T8->O1 (7%) beta: backbone coverage = 100.0%, top paths: C3->Fz->P3->F8->Pz->Cz->P7->P4->F7->Fp1->T7->O1->F3 (5%), C4->Cz->P3->F8->Pz->P4->F7->Fp1->T7->O1->F3->P7->P8 (5%), Cz->P3->F8->Pz->P4->F7->Fp1->T7->O1->F3->P7->P8->T8 (5%) delta: backbone coverage = 100.0%, top paths: C4->F8->Pz->P7->O2->P8->P3->P8 (6%), Cz->O2->P8->Pz->P7->T7->F3->F7->Fp1->O1->Fp2->C4->F8 (6%), F3->F7->Fp1->O1->Fp2->C4->F8->Pz->P7->O2->P8->P3->P8 (6%) gamma: backbone coverage = 100.0%, top paths: C3->F8->P7->O1->F4->Fz->C4->T8->O2->Fp1->F3->T7->F3 (5%), C4->T8->F8->P7->O1->F4->Fz->F3->T7->Fp1->O1 (5%), Cz->Pz->F8->P7->O1->F4->Fz->C4->T8->O2->Fp1->F3->T7 (5%) theta: backbone coverage = 100.0%, top paths: C3->O1->Cz->O2->P7->T8->F8->C4->Fz->P4->Pz->P3->T7 (5%), C4->O1->Cz->O2->P7->T8->C3->F7->F3->F7 (5%), Cz->O1->O2->P7->T8->C3->F7->F3->C4->F8->C4 (5%) LOOP ANALYSIS ---------------------------------------- alpha: 13 loops, density = 0.68, mean length = 10.4, dominant node = O2 beta: 15 loops, density = 0.79, mean length = 6.7, dominant node = Pz delta: 10 loops, density = 0.53, mean length = 9.7, dominant node = P8 gamma: 11 loops, density = 0.58, mean length = 10.0, dominant node = O1 theta: 11 loops, density = 0.58, mean length = 10.1, dominant node = C4 Persistent across bands: C3, C4, Cz, F3, F4, F7, F8, Fp1, Fp2, Fz, O1, O2, P3, P4, P7, P8, Pz, T7, T8 NETWORK TOPOLOGY ROLES ---------------------------------------- alpha: drivers=[O1(0.67), F7(0.67), F3(0.60)] relays=[F3(0.15), Cz(0.06), Pz(0.05)] sinks=[O2(0.42), O1(0.16), F3(0.11)] beta: drivers=[Cz(0.63), C4(0.58), P8(0.42)] relays=[Pz(0.33), Cz(0.28), P4(0.05)] sinks=[Pz(0.68), P7(0.11), P8(0.11)] delta: drivers=[Pz(0.56), O2(0.44), T8(0.44)] relays=[Pz(0.28), O2(0.11), F8(0.11)] sinks=[P8(0.53), F8(0.21), C4(0.11)] gamma: drivers=[O2(0.42), F4(0.42), F7(0.37)] relays=[C4(0.13), O1(0.11), F3(0.08)] sinks=[O1(0.42), F3(0.26), Fp1(0.16)] theta: drivers=[Cz(0.53), O2(0.47), C4(0.47)] relays=[O2(0.29), O1(0.24), C4(0.13)] sinks=[C4(0.32), F8(0.21), F7(0.21)] driver cross-band stability = 0.18 relay cross-band stability = 0.17 sink cross-band stability = 0.18 ROUTE FINGERPRINT (NETWORK DNA) ---------------------------------------- alpha: driver=O1 sink=Fp1 highways=[C3->Fz->Pz->F3->P3->T7->F7->P7->O2->Cz->P4->P8->O2(7%), C4->F3->Pz->F7->T7->P3->P7->O2->Cz->P4->Fz->O1->T8(7%), Cz->O2->P8->P4->F3->Pz->F7->T7->P3->P7->O1->T8->O1(7%)] diversity=0.00 avg_hops=10.5 beta: driver=Cz sink=Pz highways=[C3->Fz->P3->F8->Pz->Cz->P7->P4->F7->Fp1->T7->O1->F3(5%), C4->Cz->P3->F8->Pz->P4->F7->Fp1->T7->O1->F3->P7->P8(5%), Cz->P3->F8->Pz->P4->F7->Fp1->T7->O1->F3->P7->P8->T8(5%)] diversity=0.00 avg_hops=7.8 delta: driver=Pz sink=P8 highways=[C4->F8->Pz->P7->O2->P8->P3->P8(6%), Cz->O2->P8->Pz->P7->T7->F3->F7->Fp1->O1->Fp2->C4->F8(6%), F3->F7->Fp1->O1->Fp2->C4->F8->Pz->P7->O2->P8->P3->P8(6%)] diversity=0.00 avg_hops=10.7 gamma: driver=F4 sink=O1 highways=[C3->F8->P7->O1->F4->Fz->C4->T8->O2->Fp1->F3->T7->F3(5%), C4->T8->F8->P7->O1->F4->Fz->F3->T7->Fp1->O1(5%), Cz->Pz->F8->P7->O1->F4->Fz->C4->T8->O2->Fp1->F3->T7(5%)] diversity=0.00 avg_hops=10.8 theta: driver=O2 sink=C4 highways=[C3->O1->Cz->O2->P7->T8->F8->C4->Fz->P4->Pz->P3->T7(5%), C4->O1->Cz->O2->P7->T8->C3->F7->F3->F7(5%), Cz->O1->O2->P7->T8->C3->F7->F3->C4->F8->C4(5%)] diversity=0.00 avg_hops=10.9 GROUP / PHENOTYPE NETWORKS ---------------------------------------- Not computed (single-subject run). For research: group-level routing and phenotype comparison (e.g. ADHD vs controls) would require multiple subjects and group aggregation. Dominant Drivers ---------------------------------------- alpha: C3, C4, Cz, F3, Fz, O1, P7, P8 beta: C3, C4, Cz, F8, Fz, P3 delta: Cz, F3, F4, F7, Fp2, Fz, O2, P3 gamma: C3, Cz, F3, F4, F8, Fp2, Fz, P3 theta: C3, F3, F7, Fp1, Fp2, O2, P3, P4 Network Bottlenecks (high betweenness) ---------------------------------------- alpha: F3, O1, Cz, Pz, F7 beta: Pz, Cz, C4, P8, P4 delta: Pz, F8, O2, T8, F3 gamma: F3, C4, O1, P3, F4 theta: O2, O1, C4, C3, Cz Intervention Leverage Points ---------------------------------------- 0. Pz (leverage score: 1.68) 0. P8 (leverage score: 1.47) 0. O1 (leverage score: 1.42) 0. C4 (leverage score: 1.26) 0. O2 (leverage score: 1.21) 0. O2 (leverage score: 1.05) 0. C3 (leverage score: 1.00) 0. O1 (leverage score: 1.00) Operational Metrics & Robustness ---------------------------------------- Resilience score: 0.00 (1 − mean % paths affected; higher = more resilient). Stability score: 0.06 (path repeatability; higher = more stable routing). Detectability vs null: N/A (null not computed). Evidence: path_stability from traceroute_topology_by_epoch; forced_reroute from graph perturbation; deterministic. EEG NETWORK INTELLIGENCE INTERPRETATION -------------------------------------------------- Source: 11ba5eedbec2_EO_EO.edf Mode: Network Routing + Graph Metrics 1. Global Network Behavior Stability vs Flexibility Neural Stability Index: 0.06 (low) Routing stability: ~0.06 (very low) Interpretation: The network structure is stable, but the signal routing is highly variable. This combination usually means: the brain network architecture is intact, but communication pathways are switching frequently (topology stable, traffic patterns unstable). This pattern often appears in: high cognitive load, compensatory processing, attention instability, recovery from fatigue or stress. 2. Major Network Roles Primary Driver: C3 Left frontal driver activity often relates to: language networks, executive control, cognitive initiation. Primary Sink: O2 Suggests signals converge in: auditory/semantic processing, emotional memory systems. This C3 -> O2 pattern commonly reflects: fronto-temporal processing loops. 3. Major Bottleneck F3 Appears repeatedly as a high betweenness node. The network frequently routes through this integration hub. Heavy dependence suggests the network may rely on posterior integration for routing decisions. 4. Signal Routing Characteristics Across bands, routing paths (avg hops): alpha: 10.5 beta: 7.8 delta: 10.7 gamma: 10.8 theta: 10.9 Long routing can imply: distributed processing, inefficient routing, compensatory communication. 5. Loop Structure alpha: loop density = 0.68 beta: loop density = 0.79 delta: loop density = 0.53 gamma: loop density = 0.58 theta: loop density = 0.58 Most frequency networks strongly cyclic. Loops indicate reverberating circuits. Possible: sustained processing, working memory; or rumination, inefficient recycling, congestion. 6. Cross-Band Consistency Global consistency: 0.190 Relatively low means each band routes differently; band-specific communication strategies. 7. Flow Accumulation Hubs alpha: O2 beta: Pz delta: P8 gamma: O1 theta: C4 Distributed control centers depending on frequency. 10. Resilience Resilience score: 0.00 Node removal affects a substantial fraction of paths; network has critical nodes (see Perturbation Sensitivity). 12. Traffic Thermodynamics (derived) Routing entropy ~ 4.16 (high entropy = diverse, unpredictable routing choices). Combined with low stability: network appears flexible but noisy. 15. Overall Network Phenotype Strengths: high resilience, strong hub connectivity, rich-club organization, functional band specialization. Potential inefficiencies: long routing paths, high loop density, low path stability, heavy reliance on specific hubs. 16. Network Archetype (Phenotype Layer) Pattern resembles: Distributed Recursive Processing Network. Characteristics: multiple feedback loops, flexible routing, high redundancy, dynamic band specialization. Often associated with: internally oriented cognition, associative processing, complex integration tasks. 17. Key Nodes of Interest C3 O2 F3 18. Practical Neurofeedback Targets (network-informed) Possible targets: reduce loop density (high-loop nodes), relieve bottlenecks (high betweenness), improve routing stability (driver/sink nodes). Summary This network shows: high structural resilience, rich hub connectivity, flexible but inefficient routing patterns. The brain appears to be operating in a high-entropy, distributed communication regime.