NETWORK INTELLIGENCE ================================================================================ Source: Demo run 11ba5eedbec2 — Eyes Closed (EC) [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: - (alpha network) Primary Sink Node: P8 Critical Bottleneck: P8 Traceroute path: Fp2 -> P8 -> O2 -> P4 -> C4 -> T8 -> Cz -> P7 -> Pz -> P3 -> ... Path capacity: 0.02 Relay bottleneck: T8 Network Control Node: - Training leverage score: 1.53 (high) Signal Routing Paths ---------------------------------------- alpha: Fp2 -> P8 -> O2 -> P4 -> C4 -> T8 -> Cz -> P7 -> ... (path capacity 0.02; relay bottleneck T8) alpha: C4 -> P4 -> O2 -> P8 -> Cz -> P7 -> Pz -> P3 -> ... (path capacity 0.02; relay bottleneck P3) alpha: O2 -> P4 -> C4 -> P8 -> Cz -> P7 -> Pz -> P3 -> ... (path capacity 0.02; relay bottleneck P3) alpha: C3 -> Pz -> P3 -> P4 -> O2 -> P8 -> C4 -> Fp2 -> ... (path capacity 0.02; relay bottleneck C3) alpha: Pz -> P3 -> P4 -> O2 -> P8 -> C4 -> Fp2 -> P8 (path capacity 0.02; relay bottleneck Fp2) beta: Fz -> Pz -> Cz -> P4 -> C4 -> P8 -> O2 -> P7 -> ... (path capacity 0.01; relay bottleneck P4) beta: C3 -> Pz -> Cz -> P4 -> C4 -> P8 -> O2 -> P7 -> ... (path capacity 0.01; relay bottleneck P4) beta: F3 -> Pz -> Cz -> P4 -> C4 -> P8 -> O2 -> P7 -> ... (path capacity 0.01; relay bottleneck P4) beta: T8 -> Pz -> Cz -> P4 -> C4 -> P8 -> O2 -> P7 -> ... (path capacity 0.01; relay bottleneck T8) beta: P8 -> C4 -> P4 -> Pz -> Cz -> P3 -> P7 -> F7 -> ... (path capacity 0.01; relay bottleneck P4) delta: O2 -> Fp2 -> P7 -> P8 -> P3 -> C3 -> F7 -> P4 -> ... (path capacity 0.01; relay bottleneck F3) delta: Fz -> C4 -> F8 -> Cz -> F4 -> P7 -> P8 -> P3 -> ... (path capacity 0.01; relay bottleneck Fz) delta: F3 -> P4 -> F7 -> C3 -> O1 -> Fp2 -> P7 -> P8 -> ... (path capacity 0.01; relay bottleneck P3) delta: F8 -> C4 -> F3 -> P4 -> F7 -> C3 -> O1 -> Fp2 -> ... (path capacity 0.01; relay bottleneck P3) delta: Fp2 -> P7 -> P8 -> P3 -> C3 -> F7 -> P4 -> F3 -> ... (path capacity 0.01; relay bottleneck F4) gamma: P3 -> P7 -> T7 -> Fp2 -> P4 -> O2 -> F8 -> P8 -> ... (path capacity 0.00; relay bottleneck O2) gamma: P4 -> O2 -> F8 -> P8 -> F7 -> Fp1 -> C3 -> F3 -> ... (path capacity 0.00; relay bottleneck O2) gamma: P7 -> T7 -> Fp2 -> P4 -> O2 -> F8 -> P8 -> F7 -> ... (path capacity 0.00; relay bottleneck O2) gamma: Fp2 -> P4 -> O2 -> F8 -> P8 -> F7 -> Fp1 -> C3 -> ... (path capacity 0.00; relay bottleneck O2) gamma: O2 -> F8 -> P8 -> F7 -> Fp1 -> C3 -> F3 -> F4 -> ... (path capacity 0.00; relay bottleneck O2) theta: C3 -> Pz -> P3 -> F3 -> O1 -> P8 -> Fz -> Fp1 -> ... (path capacity 0.01; relay bottleneck F4) theta: F7 -> T7 -> Pz -> P3 -> F3 -> O1 -> P8 -> Fz -> ... (path capacity 0.01; relay bottleneck Cz) theta: T7 -> Pz -> P3 -> F3 -> O1 -> P8 -> Fz -> Fp1 -> ... (path capacity 0.01; relay bottleneck F4) theta: Cz -> F3 -> P3 -> P8 -> O1 -> F7 -> T7 -> Pz -> ... (path capacity 0.01; relay bottleneck Fp1) theta: C4 -> F8 -> Pz -> P3 -> F3 -> O1 -> P8 -> Fz -> ... (path capacity 0.01; relay bottleneck Fp1) Path / Routing Stability ---------------------------------------- alpha: Dominant path Fp2->P8->O2->P4->C4->T8->Cz->P7->Pz->P3->P4 observed in 7% of epochs/sources. alpha: Dominant path stability: 0.07 alpha: Role agreement across epochs: isolated: 100%, major_sink: 100%, relay: 100%, terminal_sink: 100%. alpha: Routing entropy: 3.893 Fp2->P8->O2->P4->C4->T8->Cz->P7->Pz->P3->P4: 6.9% C4->P4->O2->P8->Cz->P7->Pz->P3->T8->Fp2->P8: 6.9% O2->P4->C4->P8->Cz->P7->Pz->P3->T8->Fp2->P8: 6.9% C3->Pz->P3->P4->O2->P8->C4->Fp2->P8: 6.9% Pz->P3->P4->O2->P8->C4->Fp2->P8: 6.9% beta: Dominant path Fz->Pz->Cz->P4->C4->P8->O2->P7->F7->Fp1 observed in 7% of epochs/sources. beta: Dominant path stability: 0.07 beta: Role agreement across epochs: major_sink: 100%, relay: 100%, source_only: 100%, terminal_sink: 100%. beta: Routing entropy: 3.974 Fz->Pz->Cz->P4->C4->P8->O2->P7->F7->Fp1: 6.7% C3->Pz->Cz->P4->C4->P8->O2->P7->F7->Fp1: 6.7% F3->Pz->Cz->P4->C4->P8->O2->P7->F7->Fp1: 6.7% T8->Pz->Cz->P4->C4->P8->O2->P7->F7->Fp1: 6.7% P8->C4->P4->Pz->Cz->P3->P7->F7->Fp1: 6.7% delta: Dominant path O2->Fp2->P7->P8->P3->C3->F7->P4->F3->C4->F8->Cz->F4 observed in 6% of epochs/sources. delta: Dominant path stability: 0.06 delta: Role agreement across epochs: driver: 100%, isolated: 100%. delta: Routing entropy: 4.170 O2->Fp2->P7->P8->P3->C3->F7->P4->F3->C4->F8->Cz->F4: 5.6% Fz->C4->F8->Cz->F4->P7->P8->P3->C3->F7->P4->F3->P4: 5.6% F3->P4->F7->C3->O1->Fp2->P7->P8->P3->Cz->F4->C4->F8: 5.6% F8->C4->F3->P4->F7->C3->O1->Fp2->P7->P8->P3->Cz->F4: 5.6% Fp2->P7->P8->P3->C3->F7->P4->F3->C4->F8->Cz->F4->T8: 5.6% gamma: Dominant path P3->P7->T7->Fp2->P4->O2->F8->P8->F7->Fp1->C3->F3->F4 observed in 5% of epochs/sources. gamma: Dominant path stability: 0.05 gamma: Role agreement across epochs: driver: 100%, relay: 100%. gamma: Routing entropy: 4.248 P3->P7->T7->Fp2->P4->O2->F8->P8->F7->Fp1->C3->F3->F4: 5.3% P4->O2->F8->P8->F7->Fp1->C3->F3->F4->O1->P7->T7->Fp2: 5.3% P7->T7->Fp2->P4->O2->F8->P8->F7->Fp1->C3->F3->F4->O1: 5.3% Fp2->P4->O2->F8->P8->F7->Fp1->C3->F3->F4->O1->P7->T7: 5.3% O2->F8->P8->F7->Fp1->C3->F3->F4->O1->P7->T7->Fp2->P4: 5.3% theta: Dominant path C3->Pz->P3->F3->O1->P8->Fz->Fp1->C4->F8->Cz->F4->F7 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 C3->Pz->P3->F3->O1->P8->Fz->Fp1->C4->F8->Cz->F4->F7: 5.3% F7->T7->Pz->P3->F3->O1->P8->Fz->Fp1->C4->F8->Cz->F4: 5.3% T7->Pz->P3->F3->O1->P8->Fz->Fp1->C4->F8->Cz->F4->F7: 5.3% Cz->F3->P3->P8->O1->F7->T7->Pz->F8->C4->Fp1->P7->P4: 5.3% C4->F8->Pz->P3->F3->O1->P8->Fz->Fp1->P7->P4->T8->Pz: 5.3% Cross-Band Consistency ---------------------------------------- Global consistency: 0.188 (higher = backbone routing consistent across bands). Band-specific patterns; interpret with caution. Band-pair agreement: alpha – beta: path Jaccard=0.43, same end=16%, composite=0.30 alpha – delta: path Jaccard=0.36, same end=5%, composite=0.16 alpha – gamma: path Jaccard=0.24, same end=16%, composite=0.20 alpha – theta: path Jaccard=0.26, same end=0%, composite=0.11 beta – delta: path Jaccard=0.36, same end=5%, composite=0.14 beta – gamma: path Jaccard=0.30, same end=0%, composite=0.19 Perturbation Sensitivity (Network Resilience) ---------------------------------------- Remove Fp1 (delta): 100% paths affected; new sink(s): -; mean cost delta: -503.850 Remove Fp2 (delta): 100% paths affected; new sink(s): Pz, T7; mean cost delta: -515.914 Remove F3 (delta): 100% paths affected; new sink(s): P3; mean cost delta: -511.927 Remove F4 (delta): 100% paths affected; new sink(s): F8, O2; mean cost delta: -509.106 Remove C3 (delta): 100% paths affected; new sink(s): -; mean cost delta: -506.569 Remove C4 (delta): 100% paths affected; new sink(s): Fz; mean cost delta: -520.777 Remove P3 (delta): 100% paths affected; new sink(s): -; mean cost delta: -499.901 Remove P4 (delta): 100% paths affected; new sink(s): C4, Fz, P8; mean cost delta: -525.781 Remove O1 (delta): 100% paths affected; new sink(s): -; mean cost delta: -500.255 Remove O2 (delta): 100% paths affected; new sink(s): Cz, F7, O1; mean cost delta: -528.991 Remove F7 (delta): 100% paths affected; new sink(s): -; mean cost delta: -500.793 Remove F8 (delta): 100% paths affected; new sink(s): F3, T8; mean cost delta: -523.511 Remove T7 (delta): 100% paths affected; new sink(s): -; mean cost delta: -500.892 Remove T8 (delta): 100% paths affected; new sink(s): Fp2; mean cost delta: -515.834 Remove P7 (delta): 100% paths affected; new sink(s): -; mean cost delta: -489.599 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 = P8 (flow=25.00), max source = Fz (flow=-1.00), mean throughput = 4.42 beta: max accumulator = Fp1 (flow=15.00), max source = Fz (flow=-1.00), mean throughput = 4.37 delta: max accumulator = P4 (flow=17.00), max source = Fz (flow=-1.00), mean throughput = 10.37 gamma: max accumulator = F8 (flow=21.00), max source = P3 (flow=-1.00), mean throughput = 9.79 theta: max accumulator = Pz (flow=27.00), max source = C3 (flow=-1.00), mean throughput = 10.37 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=0.086, free_energy=140.065, loop_pressure=0.000, viscosity=0.000 High path diversity (1.000) with low hub concentration (0.086) indicates fragmented but cool routing. beta: regime=fragmented_cool, entropy=1.000, temperature=0.000, free_energy=337.370, loop_pressure=0.000, viscosity=0.000 High path diversity (1.000) with low hub concentration (0.000) indicates fragmented but cool routing. delta: regime=flexible_cool, entropy=1.000, temperature=0.137, free_energy=630.213, loop_pressure=0.000, viscosity=0.000 Moderate-to-high entropy (1.000) with low temperature (0.137) and viscosity (0.000) suggest flexible, healthy routing. gamma: regime=flexible_cool, entropy=1.000, temperature=0.178, free_energy=1333.071, loop_pressure=0.000, viscosity=0.000 Moderate-to-high entropy (1.000) with low temperature (0.178) and viscosity (0.000) suggest flexible, healthy routing. theta: regime=flexible_cool, entropy=1.000, temperature=0.174, free_energy=821.257, loop_pressure=0.000, viscosity=0.000 Moderate-to-high entropy (1.000) with low temperature (0.174) and viscosity (0.000) suggest flexible, healthy routing. provenance: traffic_thermodynamics.v1 EARLY WARNING INDICATORS (NEWS) ---------------------------------------- alpha network risk score: 0.47 (ELEVATED) Primary drivers: entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.34, entropy_norm=1.00, viscosity=0.00, intervention_sensitivity=1.00 beta network risk score: 0.39 (ELEVATED) Primary drivers: entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.00, entropy_norm=1.00, viscosity=0.00, intervention_sensitivity=0.94 delta network risk score: 0.51 (UNSTABLE) Primary drivers: temperature, entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.55, entropy_norm=1.00, viscosity=0.00, intervention_sensitivity=1.00 gamma network risk score: 0.54 (UNSTABLE) Primary drivers: temperature, entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.71, entropy_norm=1.00, viscosity=0.00, intervention_sensitivity=1.00 theta network risk score: 0.54 (UNSTABLE) Primary drivers: temperature, entropy, intervention_sensitivity Components: loop_pressure=0.00, temperature=0.70, 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 = 93.3%, top paths: C3->Pz->P3->P4->O2->P8->C4->Fp2->P8 (7%), C4->P4->O2->P8->Cz->P7->Pz->P3->T8->Fp2->P8 (7%), Cz->P8->O2->P4->C4->Fp2->P8 (7%) beta: backbone coverage = 87.5%, top paths: C3->Pz->Cz->P4->C4->P8->O2->P7->F7->Fp1 (6%), C4->P4->Pz->Cz->P3->P7->F7->Fp1 (6%), Cz->P4->C4->Pz->O2->P7->F7->Fp1 (6%) delta: backbone coverage = 100.0%, top paths: C3->F7->P4->P7->P8->P3->Cz->F4->C4->F8->Fp2->O2->Pz (6%), C4->F8->Cz->F4->P7->P8->P3->C3->F7->P4->F3->P4 (6%), Cz->F4->P7->P8->P3->C3->F7->P4->F3->C4->F8->Fp2->O2 (6%) gamma: backbone coverage = 100.0%, top paths: C3->F3->F7->Fp1->Fp2->P4->O2->F8->P8->P7->T7->C4->Cz (5%), C4->F8->P8->F7->Fp1->C3->F3->F4->O1->O2->F8 (5%), Cz->Pz->C3->F3->F7->Fp1->Fp2->P4->O2->F8->P8->P7->T7 (5%) theta: backbone coverage = 100.0%, top paths: C3->Pz->P3->F3->O1->P8->Fz->Fp1->C4->F8->Cz->F4->F7 (5%), C4->F8->Pz->P3->F3->O1->P8->Fz->Fp1->P7->P4->T8->Pz (5%), Cz->F3->P3->P8->O1->F7->T7->Pz->F8->C4->Fp1->P7->P4 (5%) LOOP ANALYSIS ---------------------------------------- alpha: 14 loops, density = 0.74, mean length = 7.0, dominant node = P8 beta: 0 loops, density = 0.00, mean length = 0.0, dominant node = delta: 2 loops, density = 0.11, mean length = 11.5, dominant node = P4 gamma: 9 loops, density = 0.47, mean length = 9.4, dominant node = F8 theta: 10 loops, density = 0.53, mean length = 10.8, dominant node = Pz Persistent across bands: C3, C4, F3, F4, F8, Fp2, Fz, O1, P3, P4, P7, P8, Pz, T8 NETWORK TOPOLOGY ROLES ---------------------------------------- alpha: drivers=[P8(0.86), P4(0.79), O2(0.57)] relays=[P8(0.21), P4(0.20), O2(0.05)] sinks=[P8(0.68), T7(0.11), Fp1(0.05)] beta: drivers=[Cz(1.07), C4(0.79), Fz(0.64)] relays=[Cz(0.18), Pz(0.16), C4(0.08)] sinks=[Fp1(0.84), T7(0.11), Fp2(0.05)] delta: drivers=[F7(0.44), P8(0.44), Cz(0.39)] relays=[P7(0.20), P8(0.12), Fp2(0.11)] sinks=[O2(0.21), P4(0.16), Pz(0.16)] gamma: drivers=[P8(0.53), T7(0.42), P7(0.37)] relays=[F7(0.23), P8(0.20), F8(0.15)] sinks=[F8(0.26), T7(0.11), Cz(0.11)] theta: drivers=[F8(0.47), P3(0.42), Cz(0.42)] relays=[Pz(0.20), F8(0.15), P3(0.14)] sinks=[Pz(0.53), F7(0.21), T7(0.05)] driver cross-band stability = 0.18 relay cross-band stability = 0.24 sink cross-band stability = 0.18 ROUTE FINGERPRINT (NETWORK DNA) ---------------------------------------- alpha: driver=? sink=P8 highways=[C3->Pz->P3->P4->O2->P8->C4->Fp2->P8(7%), C4->P4->O2->P8->Cz->P7->Pz->P3->T8->Fp2->P8(7%), Cz->P8->O2->P4->C4->Fp2->P8(7%)] diversity=0.00 avg_hops=6.6 beta: driver=? sink=Fp2 highways=[C3->Pz->Cz->P4->C4->P8->O2->P7->F7->Fp1(6%), C4->P4->Pz->Cz->P3->P7->F7->Fp1(6%), Cz->P4->C4->Pz->O2->P7->F7->Fp1(6%)] diversity=0.00 avg_hops=6.2 delta: driver=F7 sink=? highways=[C3->F7->P4->P7->P8->P3->Cz->F4->C4->F8->Fp2->O2->Pz(6%), C4->F8->Cz->F4->P7->P8->P3->C3->F7->P4->F3->P4(6%), Cz->F4->P7->P8->P3->C3->F7->P4->F3->C4->F8->Fp2->O2(6%)] diversity=0.00 avg_hops=11.9 gamma: driver=P8 sink=? highways=[C3->F3->F7->Fp1->Fp2->P4->O2->F8->P8->P7->T7->C4->Cz(5%), C4->F8->P8->F7->Fp1->C3->F3->F4->O1->O2->F8(5%), Cz->Pz->C3->F3->F7->Fp1->Fp2->P4->O2->F8->P8->P7->T7(5%)] diversity=0.00 avg_hops=10.8 theta: driver=F8 sink=Pz highways=[C3->Pz->P3->F3->O1->P8->Fz->Fp1->C4->F8->Cz->F4->F7(5%), C4->F8->Pz->P3->F3->O1->P8->Fz->Fp1->P7->P4->T8->Pz(5%), Cz->F3->P3->P8->O1->F7->T7->Pz->F8->C4->Fp1->P7->P4(5%)] diversity=0.00 avg_hops=11.4 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 ---------------------------------------- delta: C3, C4, Cz, F3, F4, F7, F8, Fp2 gamma: C3, Cz, F4, Fp1, Fp2, Fz, O2, P3 theta: C3, C4, Cz, F3, F4, F7, F8, Fp1 Network Bottlenecks (high betweenness) ---------------------------------------- alpha: P8, P4, P7, Pz, O2 beta: Cz, Pz, C4, P7, O2 delta: P7, Fp2, F4, P8, C4 gamma: F7, P8, F8, P7, T7 theta: Pz, F8, P3, P8, F4 Intervention Leverage Points ---------------------------------------- 0. Pz (leverage score: 1.53) 0. P8 (leverage score: 1.42) 0. F8 (leverage score: 1.21) 0. C3 (leverage score: 1.05) 0. F3 (leverage score: 1.05) 0. P8 (leverage score: 1.05) 0. P4 (leverage score: 1.00) 0. P3 (leverage score: 1.00) Operational Metrics & Robustness ---------------------------------------- Resilience score: 0.04 (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_EC_EC.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 Sink: P8 Suggests signals converge in: auditory/semantic processing, emotional memory systems. 3. Major Bottleneck P8 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: 6.6 beta: 6.2 delta: 11.9 gamma: 10.8 theta: 11.4 Long routing can imply: distributed processing, inefficient routing, compensatory communication. 5. Loop Structure alpha: loop density = 0.74 beta: loop density = 0.00 delta: loop density = 0.11 gamma: loop density = 0.47 theta: loop density = 0.53 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: 0.188 Relatively low means each band routes differently; band-specific communication strategies. 7. Flow Accumulation Hubs alpha: P8 beta: Fp1 delta: P4 gamma: F8 theta: Pz Distributed control centers depending on frequency. 10. Resilience Resilience score: 0.04 Node removal affects a substantial fraction of paths; network has critical nodes (see Perturbation Sensitivity). 12. Traffic Thermodynamics (derived) Routing entropy ~ 4.11 (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 P8 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.