{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2008:JXJ53H5QNP7VPNDGCPW7YTMCZG","short_pith_number":"pith:JXJ53H5Q","schema_version":"1.0","canonical_sha256":"4dd3dd9fb06bff57b46613edfc4d82c99539979d548b642d7f1ac0fb00bb43ca","source":{"kind":"arxiv","id":"0806.2840","version":1},"attestation_state":"computed","paper":{"title":"Cluster structure of functional networks estimated from high-resolution EEG data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"q-bio.QM","authors_text":"Donatella Mattia, Fabio Babiloni, Fabrizio De Vico Fallani, Febo Cincotti, Laura Astolfi, Roberta Sinatra, Vito Latora","submitted_at":"2008-06-17T17:04:27Z","abstract_excerpt":"We study the topological properties of functional connectivity patterns among cortical areas in the frequency domain. The cortical networks were estimated from high-resolution EEG recordings in a group of spinal cord injured patients and in a group of healthy subjects, during the preparation of a limb movement. We first evaluate global and local efficiency, as indicators of the structural connectivity respectively at a global and local scale. Then, we use the Markov Clustering method to analyse the division of the network into community structures. The results indicate large differences betwee"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"0806.2840","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2008-06-17T17:04:27Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"b8bc08042843a6242edd3250ec7023002615f784f4a485c6e14c86db273af16d","abstract_canon_sha256":"593796f73f080d3eeb25f38b80decce1e938ea928a269525d874097011c011e5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:15:51.423752Z","signature_b64":"cZMGHst18SYYsl4zwTlAaE5sM3pM0g/q5gXWY9blZCg78oyFVbs477GJpuNu82IS9ZvyaWqo4HOHiPhUBGNxAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4dd3dd9fb06bff57b46613edfc4d82c99539979d548b642d7f1ac0fb00bb43ca","last_reissued_at":"2026-05-18T02:15:51.423034Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:15:51.423034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cluster structure of functional networks estimated from high-resolution EEG data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"q-bio.QM","authors_text":"Donatella Mattia, Fabio Babiloni, Fabrizio De Vico Fallani, Febo Cincotti, Laura Astolfi, Roberta Sinatra, Vito Latora","submitted_at":"2008-06-17T17:04:27Z","abstract_excerpt":"We study the topological properties of functional connectivity patterns among cortical areas in the frequency domain. The cortical networks were estimated from high-resolution EEG recordings in a group of spinal cord injured patients and in a group of healthy subjects, during the preparation of a limb movement. We first evaluate global and local efficiency, as indicators of the structural connectivity respectively at a global and local scale. Then, we use the Markov Clustering method to analyse the division of the network into community structures. The results indicate large differences betwee"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0806.2840","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"0806.2840","created_at":"2026-05-18T02:15:51.423153+00:00"},{"alias_kind":"arxiv_version","alias_value":"0806.2840v1","created_at":"2026-05-18T02:15:51.423153+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0806.2840","created_at":"2026-05-18T02:15:51.423153+00:00"},{"alias_kind":"pith_short_12","alias_value":"JXJ53H5QNP7V","created_at":"2026-05-18T12:25:57.157939+00:00"},{"alias_kind":"pith_short_16","alias_value":"JXJ53H5QNP7VPNDG","created_at":"2026-05-18T12:25:57.157939+00:00"},{"alias_kind":"pith_short_8","alias_value":"JXJ53H5Q","created_at":"2026-05-18T12:25:57.157939+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JXJ53H5QNP7VPNDGCPW7YTMCZG","json":"https://pith.science/pith/JXJ53H5QNP7VPNDGCPW7YTMCZG.json","graph_json":"https://pith.science/api/pith-number/JXJ53H5QNP7VPNDGCPW7YTMCZG/graph.json","events_json":"https://pith.science/api/pith-number/JXJ53H5QNP7VPNDGCPW7YTMCZG/events.json","paper":"https://pith.science/paper/JXJ53H5Q"},"agent_actions":{"view_html":"https://pith.science/pith/JXJ53H5QNP7VPNDGCPW7YTMCZG","download_json":"https://pith.science/pith/JXJ53H5QNP7VPNDGCPW7YTMCZG.json","view_paper":"https://pith.science/paper/JXJ53H5Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=0806.2840&json=true","fetch_graph":"https://pith.science/api/pith-number/JXJ53H5QNP7VPNDGCPW7YTMCZG/graph.json","fetch_events":"https://pith.science/api/pith-number/JXJ53H5QNP7VPNDGCPW7YTMCZG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JXJ53H5QNP7VPNDGCPW7YTMCZG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JXJ53H5QNP7VPNDGCPW7YTMCZG/action/storage_attestation","attest_author":"https://pith.science/pith/JXJ53H5QNP7VPNDGCPW7YTMCZG/action/author_attestation","sign_citation":"https://pith.science/pith/JXJ53H5QNP7VPNDGCPW7YTMCZG/action/citation_signature","submit_replication":"https://pith.science/pith/JXJ53H5QNP7VPNDGCPW7YTMCZG/action/replication_record"}},"created_at":"2026-05-18T02:15:51.423153+00:00","updated_at":"2026-05-18T02:15:51.423153+00:00"}