{"id":"https://openalex.org/W2288414035","doi":"https://doi.org/10.1109/icsipa.2015.7412251","title":"Importance of realignment parameters in fMRI data analysis","display_name":"Importance of realignment parameters in fMRI data analysis","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2288414035","doi":"https://doi.org/10.1109/icsipa.2015.7412251","mag":"2288414035"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2015.7412251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2015.7412251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016145887","display_name":"Raheel Zafar","orcid":"https://orcid.org/0000-0002-7486-4149"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Raheel Zafar","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077623317","display_name":"Aamir Saeed Malik","orcid":"https://orcid.org/0000-0003-1085-3157"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Aamir Saeed Malik","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071162645","display_name":"Nidal Kamel","orcid":"https://orcid.org/0000-0002-9638-6379"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nidal Kamel","raw_affiliation_strings":["Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070853135","display_name":"Sarat C. Dass","orcid":"https://orcid.org/0000-0002-7376-0436"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sarat C Dass","raw_affiliation_strings":["Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Perak, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Perak, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016145887"],"corresponding_institution_ids":["https://openalex.org/I203899302"],"apc_list":null,"apc_paid":null,"fwci":0.3226,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61035546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"546","last_page":"550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9991999864578247,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.7131168246269226},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6814908385276794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6531819701194763},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.6437079906463623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5752375721931458},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.5154439210891724},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5138673782348633},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5000483989715576},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.47103598713874817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44263792037963867},{"id":"https://openalex.org/keywords/general-linear-model","display_name":"General linear model","score":0.4399207532405853},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.4372105002403259},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.346852570772171},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33400410413742065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32020092010498047},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.30967023968696594},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28471893072128296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2518242597579956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17426064610481262},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16946858167648315},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13760963082313538},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0749264657497406}],"concepts":[{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.7131168246269226},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6814908385276794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6531819701194763},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6437079906463623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5752375721931458},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.5154439210891724},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5138673782348633},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5000483989715576},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.47103598713874817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44263792037963867},{"id":"https://openalex.org/C188321436","wikidata":"https://www.wikidata.org/wiki/Q1826488","display_name":"General linear model","level":3,"score":0.4399207532405853},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.4372105002403259},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.346852570772171},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33400410413742065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32020092010498047},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.30967023968696594},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28471893072128296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2518242597579956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17426064610481262},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16946858167648315},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13760963082313538},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0749264657497406},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa.2015.7412251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2015.7412251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322892","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73"},{"id":"https://openalex.org/F4320323380","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1590569063","https://openalex.org/W1831666347","https://openalex.org/W1922604896","https://openalex.org/W1990134753","https://openalex.org/W2006096283","https://openalex.org/W2025283285","https://openalex.org/W2041853331","https://openalex.org/W2088272457","https://openalex.org/W2103040438","https://openalex.org/W2124384866","https://openalex.org/W2150174491","https://openalex.org/W2798817241","https://openalex.org/W3105762472","https://openalex.org/W4252906688"],"related_works":["https://openalex.org/W345240259","https://openalex.org/W3010890513","https://openalex.org/W3086422166","https://openalex.org/W2053247611","https://openalex.org/W596304944","https://openalex.org/W3165117444","https://openalex.org/W3016972457","https://openalex.org/W2605106030","https://openalex.org/W3138271675","https://openalex.org/W3117229956"],"abstract_inverted_index":{"Functional":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(fMRI)":[4],"is":[5,31,93,119],"one":[6],"of":[7,21,63,67,86],"the":[8,19,27,42,48,55,61,103,107],"finest":[9],"modality":[10],"to":[11,79],"measure":[12],"brain":[13],"activity.":[14],"Two":[15],"main":[16],"steps":[17],"in":[18,70,102],"analysis":[20],"fMRI":[22],"data":[23,40,122],"are":[24,77,84,109],"pre-processing":[25],"and":[26,44,59,83],"statistical":[28,49],"analysis.":[29,50],"Pre-processing":[30],"equally":[32],"an":[33],"important":[34],"part":[35],"because":[36,106],"it":[37,46,92],"takes":[38],"raw":[39],"from":[41],"scanner":[43],"prepares":[45],"for":[47],"This":[51],"study":[52],"first":[53],"explains":[54],"realignment":[56,64,96],"during":[57,121],"preprocessing":[58],"then":[60],"importance":[62],"parameters":[65,97,113],"(one":[66],"nuisance":[68],"parameters)":[69],"General":[71],"Linear":[72],"model":[73,104],"(GLM).":[74],"Nuisance":[75],"regressors":[76],"used":[78],"reduce":[80],"noise":[81],"only":[82],"effect":[85,101],"no":[87],"interest.":[88],"In":[89],"this":[90],"study,":[91],"concluded":[94],"that":[95],"have":[98],"a":[99],"significant":[100],"estimation":[105],"results":[108],"improved":[110],"with":[111],"these":[112],"especially":[114],"when":[115],"large":[116],"head":[117],"movement":[118],"found":[120],"acquisition.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
