{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T01:14:15Z","timestamp":1767057255237,"version":"3.48.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030668426"},{"type":"electronic","value":"9783030668433"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-66843-3_26","type":"book-chapter","created":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T11:03:20Z","timestamp":1609326200000},"page":"268-275","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Using Functional Magnetic Resonance Imaging and Personal Characteristics Features for Detection of Neurological Conditions"],"prefix":"10.1007","author":[{"given":"Batool","family":"Rathore","sequence":"first","affiliation":[]},{"given":"Muhammad","family":"Awais","sequence":"additional","affiliation":[]},{"given":"Muhammad Usama","family":"Usman","sequence":"additional","affiliation":[]},{"given":"Imran","family":"Shafi","sequence":"additional","affiliation":[]},{"given":"Waqas","family":"Ahmed","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,12,31]]},"reference":[{"key":"26_CR1","doi-asserted-by":"publisher","first-page":"942","DOI":"10.1176\/ajp.2007.164.6.942","volume":"164","author":"G Polanczyk","year":"2007","unstructured":"Polanczyk, G., et al.: The worldwide prevalence of ADHD: a systematic review and metaregression analysis. Am. J. Psychiatry 164, 942\u2013948 (2007)","journal-title":"Am. J. Psychiatry"},{"key":"26_CR2","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1196\/annals.1301.017","volume":"1008","author":"JA King","year":"2003","unstructured":"King, J.A., et al.: Neural substrates underlying impulsivity. Ann. N. Y. Acad. Sci. 1008, 160\u2013169 (2003)","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"26_CR3","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1016\/j.biopsych.2011.03.022","volume":"69","author":"C Liston","year":"2011","unstructured":"Liston, C., et al.: Atypical prefrontal connectivity in attention-deficit\/hyperactivity disorder: pathway to disease or pathological end point? Biol. Psychiat. 69, 1168\u20131177 (2011)","journal-title":"Biol. Psychiat."},{"key":"26_CR4","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1016\/j.biopsych.2005.01.034","volume":"57","author":"G Bush","year":"2005","unstructured":"Bush, G., et al.: Functional neuroimaging of attention-deficit\/hyperactivity disorder: a review and suggested future directions. Biol. Psychiat. 57, 1273\u20131284 (2005)","journal-title":"Biol. Psychiat."},{"key":"26_CR5","doi-asserted-by":"publisher","first-page":"2058","DOI":"10.1016\/j.neuroimage.2011.03.051","volume":"56","author":"Y Fan","year":"2011","unstructured":"Fan, Y., et al.: Discriminant analysis of functional connectivity patterns on Grassmann manifold. NeuroImage 56, 2058\u20132067 (2011)","journal-title":"NeuroImage"},{"key":"26_CR6","doi-asserted-by":"publisher","first-page":"3110","DOI":"10.1016\/j.neuroimage.2009.11.011","volume":"49","author":"H Shen","year":"2010","unstructured":"Shen, H., et al.: Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI. NeuroImage 49, 3110\u20133121 (2010)","journal-title":"NeuroImage"},{"key":"26_CR7","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1016\/j.neuroimage.2010.05.023","volume":"56","author":"I Nouretdinov","year":"2011","unstructured":"Nouretdinov, I., et al.: Machine learning classification with confidence: application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. NeuroImage 56, 809\u2013813 (2011)","journal-title":"NeuroImage"},{"key":"26_CR8","doi-asserted-by":"publisher","first-page":"2850","DOI":"10.1109\/TBME.2010.2080679","volume":"57","author":"JI Arribas","year":"2010","unstructured":"Arribas, J.I., et al.: Automatic Bayesian classification of healthy controls, bipolar disorder, and schizophrenia using intrinsic connectivity maps from fMRI data. IEEE Trans. Biomed. Eng. 57, 2850\u20132860 (2010)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"26_CR9","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1016\/j.neuroimage.2017.03.057","volume":"155","author":"S Rathore","year":"2017","unstructured":"Rathore, S., et al.: A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer\u2019s disease and its prodromal stages. NeuroImage 155, 530\u2013548 (2017)","journal-title":"NeuroImage"},{"key":"26_CR10","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1146\/annurev-biodatasci-022620-015538","volume":"3","author":"S Rathore","year":"2020","unstructured":"Rathore, S., et al.: Analysis of MRI data in diagnostic neuroradiology. Annu. Rev. Biomed. Data Sci. 3, 365\u2013390 (2020)","journal-title":"Annu. Rev. Biomed. Data Sci."},{"key":"26_CR11","doi-asserted-by":"publisher","first-page":"9673","DOI":"10.1073\/pnas.0504136102","volume":"102","author":"MD Fox","year":"2005","unstructured":"Fox, M.D., et al.: The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U.S.A. 102, 9673\u20139678 (2005)","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"key":"26_CR12","doi-asserted-by":"publisher","first-page":"730","DOI":"10.1016\/j.neuroimage.2017.02.045","volume":"199","author":"KJ Friston","year":"2019","unstructured":"Friston, K.J., et al.: Dynamic causal modelling revisited. NeuroImage 199, 730\u2013744 (2019)","journal-title":"NeuroImage"},{"key":"26_CR13","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1002\/hbm.1024","volume":"13","author":"VD Calhoun","year":"2001","unstructured":"Calhoun, V.D., et al.: Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms. Hum. Brain Mapp. 13, 43\u201353 (2001)","journal-title":"Hum. Brain Mapp."},{"key":"26_CR14","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/j.brainres.2009.08.029","volume":"1303","author":"X Cao","year":"2009","unstructured":"Cao, X., et al.: Abnormal resting-state functional connectivity patterns of the putamen in medication-na\u00efve children with attention deficit hyperactivity disorder. Brain Res. 1303, 195\u2013206 (2009)","journal-title":"Brain Res."},{"key":"26_CR15","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1097\/01.wnr.0000224769.92454.5d","volume":"17","author":"Q Cao","year":"2006","unstructured":"Cao, Q., et al.: Abnormal neural activity in children with attention deficit hyperactivity disorder: a resting-state functional magnetic resonance imaging study. NeuroReport 17, 1033\u20131036 (2006)","journal-title":"NeuroReport"},{"key":"26_CR16","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.braindev.2007.10.005","volume":"30","author":"L Tian","year":"2008","unstructured":"Tian, L., et al.: Enhanced resting-state brain activities in ADHD patients: a fMRI study. Brain Develop. 30, 342\u2013348 (2008)","journal-title":"Brain Develop."},{"key":"26_CR17","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.braindev.2006.10.001","volume":"29","author":"YF Zang","year":"2007","unstructured":"Zang, Y.F., et al.: Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Develop. 29, 83\u201391 (2007)","journal-title":"Brain Develop."},{"key":"26_CR18","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.pscychresns.2011.07.001","volume":"201","author":"L Sun","year":"2012","unstructured":"Sun, L., et al.: Abnormal functional connectivity between the anterior cingulate and the default mode network in drug-na\u00efve boys with attention deficit hyperactivity disorder. Psychiatry Res. 201, 120\u2013127 (2012)","journal-title":"Psychiatry Res."},{"key":"26_CR19","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s10548-010-0168-4","volume":"24","author":"MG Qiu","year":"2011","unstructured":"Qiu, M.G., et al.: Changes of brain structure and function in ADHD children. Brain Topogr. 24, 243\u2013252 (2011)","journal-title":"Brain Topogr."},{"key":"26_CR20","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.neulet.2006.02.022","volume":"400","author":"L Tian","year":"2006","unstructured":"Tian, L., et al.: Altered resting-state functional connectivity patterns of anterior cingulate cortex in adolescents with attention deficit hyperactivity disorder. Neurosci. Lett. 400, 39\u201343 (2006)","journal-title":"Neurosci. Lett."},{"key":"26_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1007\/11566489_58","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2005","author":"CZ Zhu","year":"2005","unstructured":"Zhu, C.Z., et al.: Discriminative analysis of brain function at resting-state for attention-deficit\/hyperactivity disorder. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 468\u2013475. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11566489_58"},{"key":"26_CR22","doi-asserted-by":"publisher","first-page":"74","DOI":"10.3389\/fnsys.2012.00074","volume":"6","author":"G Sidhu","year":"2012","unstructured":"Sidhu, G., et al.: Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD. Front. Syst. Neurosci. 6, 74 (2012)","journal-title":"Front. Syst. Neurosci."},{"key":"26_CR23","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.neuroimage.2007.11.029","volume":"40","author":"CZ Zhu","year":"2008","unstructured":"Zhu, C.Z., et al.: Fisher discriminative analysis of resting-state brain function for attention-deficit\/hyperactivity disorder. NeuroImage 40, 110\u2013120 (2008)","journal-title":"NeuroImage"},{"key":"26_CR24","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1002\/ima.22079","volume":"24","author":"MA Iftikhar","year":"2014","unstructured":"Iftikhar, M.A., et al.: Robust brain MRI denoising and segmentation using enhanced non-local means algorithm. Int. J. Imaging Syst. Technol. 24, 52\u201366 (2014)","journal-title":"Int. J. Imaging Syst. Technol."},{"key":"26_CR25","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1002\/ima.22057","volume":"23","author":"MA Iftikhar","year":"2013","unstructured":"Iftikhar, M.A., et al.: Brain MRI denoizing and segmentation based on improved adaptive nonlocal means. Int. J. Imaging Syst. Technol. 23, 235\u2013248 (2013)","journal-title":"Int. J. Imaging Syst. Technol."}],"container-title":["Lecture Notes in Computer Science","Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-66843-3_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T01:03:11Z","timestamp":1767056591000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-66843-3_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030668426","9783030668433"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-66843-3_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"31 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RNO-AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Radiomics and Radiogenomics in Neuro-oncology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lima","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Peru","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rno-ai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/view\/rno-ai-2020\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"None","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"100% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The workshop was held virtually due to the COVID-19 pandemic. Three keynote talks are also included.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}