{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:257A6KWKCJKURDMEE4RFZI4ELZ","short_pith_number":"pith:257A6KWK","schema_version":"1.0","canonical_sha256":"d77e0f2aca1255488d8427225ca3845e6ff3451daa137df400a8a06ffa2ab646","source":{"kind":"arxiv","id":"1904.10924","version":1},"attestation_state":"computed","paper":{"title":"Alterations in Structural Correlation Networks with Prior Concussion in Collision-Sport Athletes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","q-bio.NC"],"primary_cat":"q-bio.QM","authors_text":"Diana Svaldi, Evan Breedlove, Greg Tamer, Kausar Abbas, Muhammad Usman Sadiq, Thomas Talavage, Trey Shenk, Victoria Poole","submitted_at":"2019-04-18T17:34:17Z","abstract_excerpt":"Several studies have used structural correlation networks, derived from anatomical covariance of brain regions, to analyze neurologic changes associated with multiple sclerosis, schizophrenia and breast cancer [1][2]. Graph-theoretical analyses of human brain structural networks have consistently shown the characteristic of small-worldness that reflects a network with both high segregation and high integration. A large neuroimaging literature on football players, with and without history of concussion, has shown both functional and anatomical changes. Here we use graph-based topological proper"},"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":"1904.10924","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2019-04-18T17:34:17Z","cross_cats_sorted":["cs.NE","q-bio.NC"],"title_canon_sha256":"d38c80187c0fdd015123a64cff3861136ea3ed3ccca8104b612a64d484027dba","abstract_canon_sha256":"d224015479ed60a4c9649414465b891ff7f38001920104893c076dea22a5a4d6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:49.682960Z","signature_b64":"kNZTN09Sfe4rUwzStgpYVSHkpR0mGNp/DRc5W4UOC/gl71jGoIJue0nlmi0MnNJhZmFt+yEakx+9LVkgVjg6Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d77e0f2aca1255488d8427225ca3845e6ff3451daa137df400a8a06ffa2ab646","last_reissued_at":"2026-05-17T23:47:49.682338Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:49.682338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Alterations in Structural Correlation Networks with Prior Concussion in Collision-Sport Athletes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","q-bio.NC"],"primary_cat":"q-bio.QM","authors_text":"Diana Svaldi, Evan Breedlove, Greg Tamer, Kausar Abbas, Muhammad Usman Sadiq, Thomas Talavage, Trey Shenk, Victoria Poole","submitted_at":"2019-04-18T17:34:17Z","abstract_excerpt":"Several studies have used structural correlation networks, derived from anatomical covariance of brain regions, to analyze neurologic changes associated with multiple sclerosis, schizophrenia and breast cancer [1][2]. Graph-theoretical analyses of human brain structural networks have consistently shown the characteristic of small-worldness that reflects a network with both high segregation and high integration. A large neuroimaging literature on football players, with and without history of concussion, has shown both functional and anatomical changes. Here we use graph-based topological proper"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.10924","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":"1904.10924","created_at":"2026-05-17T23:47:49.682432+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.10924v1","created_at":"2026-05-17T23:47:49.682432+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.10924","created_at":"2026-05-17T23:47:49.682432+00:00"},{"alias_kind":"pith_short_12","alias_value":"257A6KWKCJKU","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_16","alias_value":"257A6KWKCJKURDME","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_8","alias_value":"257A6KWK","created_at":"2026-05-18T12:33:07.085635+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/257A6KWKCJKURDMEE4RFZI4ELZ","json":"https://pith.science/pith/257A6KWKCJKURDMEE4RFZI4ELZ.json","graph_json":"https://pith.science/api/pith-number/257A6KWKCJKURDMEE4RFZI4ELZ/graph.json","events_json":"https://pith.science/api/pith-number/257A6KWKCJKURDMEE4RFZI4ELZ/events.json","paper":"https://pith.science/paper/257A6KWK"},"agent_actions":{"view_html":"https://pith.science/pith/257A6KWKCJKURDMEE4RFZI4ELZ","download_json":"https://pith.science/pith/257A6KWKCJKURDMEE4RFZI4ELZ.json","view_paper":"https://pith.science/paper/257A6KWK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.10924&json=true","fetch_graph":"https://pith.science/api/pith-number/257A6KWKCJKURDMEE4RFZI4ELZ/graph.json","fetch_events":"https://pith.science/api/pith-number/257A6KWKCJKURDMEE4RFZI4ELZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/257A6KWKCJKURDMEE4RFZI4ELZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/257A6KWKCJKURDMEE4RFZI4ELZ/action/storage_attestation","attest_author":"https://pith.science/pith/257A6KWKCJKURDMEE4RFZI4ELZ/action/author_attestation","sign_citation":"https://pith.science/pith/257A6KWKCJKURDMEE4RFZI4ELZ/action/citation_signature","submit_replication":"https://pith.science/pith/257A6KWKCJKURDMEE4RFZI4ELZ/action/replication_record"}},"created_at":"2026-05-17T23:47:49.682432+00:00","updated_at":"2026-05-17T23:47:49.682432+00:00"}