{"id":"https://openalex.org/W7221127146","doi":"https://doi.org/10.31234/osf.io/nx5st_v1","title":"CortexLume: Rapid Geometry-Adaptive Cortical Feedback for Target-Informed fNIRS Design","display_name":"CortexLume: Rapid Geometry-Adaptive Cortical Feedback for Target-Informed fNIRS Design","publication_year":2026,"publication_date":"2026-10-09","ids":{"openalex":"https://openalex.org/W7221127146","doi":"https://doi.org/10.31234/osf.io/nx5st_v1"},"language":"en","primary_location":{"id":"doi:10.31234/osf.io/nx5st_v1","doi":"https://doi.org/10.31234/osf.io/nx5st_v1","is_oa":true,"landing_page_url":"https://doi.org/10.31234/osf.io/nx5st_v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401687","display_name":"PsyArXiv (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.31234/osf.io/nx5st_v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5150768736","display_name":"Ruiyi Huang","orcid":"https://orcid.org/0000-0001-9202-8139","observed_orcids":["https://orcid.org/0000-0001-9202-8139"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ruiyi Huang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9202-8139","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5150768736"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/functional-near-infrared-spectroscopy","display_name":"functional near-infrared spectroscopy","score":0.8679999709129333},{"id":"https://openalex.org/keywords/source-detector-geometry","display_name":"source-detector geometry","score":0.7979999780654907},{"id":"https://openalex.org/keywords/monte-carlo-photon-transport","display_name":"Monte Carlo photon transport","score":0.5640000104904175}],"concepts":[{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.8263999819755554},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.560699999332428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5385000109672546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4625999927520752},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.445499986410141},{"id":"https://openalex.org/C142806159","wikidata":"https://www.wikidata.org/wiki/Q7646876","display_name":"Surrogate data","level":3,"score":0.44530001282691956},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4244999885559082},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3352000117301941},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3167000114917755},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2980000078678131},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2827000021934509},{"id":"https://openalex.org/C92630104","wikidata":"https://www.wikidata.org/wiki/Q4115103","display_name":"Optical imaging","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27250000834465027},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C159317903","wikidata":"https://www.wikidata.org/wiki/Q3198","display_name":"Photon","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.26080000400543213}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.31234/osf.io/nx5st_v1","doi":"https://doi.org/10.31234/osf.io/nx5st_v1","is_oa":true,"landing_page_url":"https://doi.org/10.31234/osf.io/nx5st_v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401687","display_name":"PsyArXiv (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},{"id":"pmh:oai:share.osf.io:2e760dea-3f9e-4f64-9a58-321542efef7a","doi":null,"is_oa":true,"landing_page_url":"https://osf.io/nx5st","pdf_url":null,"source":{"id":"https://openalex.org/S4306401687","display_name":"PsyArXiv (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.31234/osf.io/nx5st_v1","doi":"https://doi.org/10.31234/osf.io/nx5st_v1","is_oa":true,"landing_page_url":"https://doi.org/10.31234/osf.io/nx5st_v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401687","display_name":"PsyArXiv (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3129852360","https://openalex.org/W2066471709","https://openalex.org/W2034279288","https://openalex.org/W2891980411","https://openalex.org/W2796292575","https://openalex.org/W3016753460","https://openalex.org/W2919327321","https://openalex.org/W7163667731","https://openalex.org/W3088303658","https://openalex.org/W3106902519"],"abstract_inverted_index":{"Target-informed":[0],"functional":[1],"near-infrared":[2],"spectroscopy":[3],"(fNIRS)":[4],"probe":[5,180],"design":[6],"requires":[7],"repeated":[8],"evaluation":[9],"of":[10,136,165],"how":[11],"candidate":[12,183],"source-detector":[13,57],"geometries":[14],"sample":[15],"the":[16,79,89,96,100,129],"cortex,":[17],"but":[18],"full":[19],"photon-transport":[20],"modeling":[21,188],"is":[22,64],"too":[23],"costly":[24],"for":[25,42,178,190],"interactive":[26],"revision.":[27],"We":[28,77],"developed":[29],"CortexLume,":[30],"which":[31],"couples":[32],"an":[33],"editable":[34],"target-patch-placement":[35],"representation":[36],"with":[37,185],"a":[38,141,163,174],"geometry-adaptive":[39],"cortical":[40,69,176],"surrogate":[41,47,177],"rapid":[43,175],"spatial":[44,70],"assessment.":[45],"The":[46],"adapts":[48],"its":[49],"center,":[50],"orientation,":[51],"and":[52,59,63,93,120,124,151,182],"anisotropic":[53],"extent":[54],"to":[55,66,140],"fitted":[56],"geometry":[58],"local":[60],"scalp-cortex":[61],"relationships,":[62],"intended":[65],"approximate":[67],"normalized":[68],"allocation":[71],"rather":[72],"than":[73],"absolute":[74],"optical":[75,192],"sensitivity.":[76],"benchmarked":[78],"method":[80],"against":[81],"MCX":[82],"photon":[83,187],"transport":[84],"assembled":[85],"through":[86],"AtlasViewer":[87],"on":[88,99],"ICBM152":[90],"anatomical":[91],"model":[92,103],"then":[94],"evaluated":[95],"frozen":[97],"formulation":[98,131],"independent":[101],"Colin27":[102],"without":[104],"retuning.":[105],"On":[106,144],"ICBM152,":[107],"mean":[108,146],"channel-centroid":[109],"discrepancy":[110],"was":[111,116,127,149,154],"2.35":[112],"mm,":[113],"90%-mass":[114],"Dice":[115,133,148,153],"0.746":[117],"per":[118,122],"channel":[119,147],"0.826":[121],"patch,":[123],"Jensen-Shannon":[125],"distance":[126],"0.330;":[128],"complete":[130],"improved":[132],"in":[134],"370":[135],"396":[137],"channels":[138],"relative":[139],"restricted":[142],"reference.":[143],"Colin27,":[145],"0.748":[150],"patch":[152],"0.812":[155],"across":[156],"88":[157],"retained":[158,189],"channels.":[159],"Patch-field":[160],"construction":[161],"required":[162],"median":[164],"only":[166],"75.81":[167],"ms.":[168],"These":[169],"results":[170],"support":[171],"CortexLume":[172],"as":[173],"iterative":[179],"drafting":[181],"shortlisting,":[184],"subject-specific":[186],"final":[191],"refinement.":[193]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-10-10T00:00:00"}
