Brain Neuron Network Extraction and Analysis of Live Mice from Imaging Videos
Modern brain mapping techniques are producing increasingly large datasets of anatomical or functional connection patterns. Recently, it became possible to record detailed live imaging videos of mammal brain while the subject is engaging routine activity. We analyze videos recorded from ten mice to d...
Saved in:
| Published in | International journal of multimedia data engineering & management Vol. 8; no. 3; pp. 1 - 20 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hershey
IGI Global
01.07.2017
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1947-8534 1947-8542 |
| DOI | 10.4018/IJMDEM.2017070101 |
Cover
| Abstract | Modern brain mapping techniques are producing increasingly large datasets of anatomical or functional connection patterns. Recently, it became possible to record detailed live imaging videos of mammal brain while the subject is engaging routine activity. We analyze videos recorded from ten mice to describe how to detect neurons, extract neuron signals, map correlation of neuron signals to mice activity, detect the network topology of active neurons, and analyze network topology characteristics. We propose a neuron position alignment method to compensate the distortion and movement of cerebral cortex in live mouse brain and the background luminance compensation to extract and model neuron activity. To find out the network topology, a cross-correlation based method and a causal Bayesian network method are proposed and used for analysis. Afterwards, we did preliminary analysis on network topologies. The significance of this paper is on how to extract neuron activities from live mouse brain imaging videos and a network analysis method to analyze its topology. |
|---|---|
| AbstractList | Modern brain mapping techniques are producing increasingly large datasets of anatomical or functional connection patterns. Recently, it became possible to record detailed live imaging videos of mammal brain while the subject is engaging routine activity. We analyze videos recorded from ten mice to describe how to detect neurons, extract neuron signals, map correlation of neuron signals to mice activity, detect the network topology of active neurons, and analyze network topology characteristics. We propose a neuron position alignment method to compensate the distortion and movement of cerebral cortex in live mouse brain and the background luminance compensation to extract and model neuron activity. To find out the network topology, a cross-correlation based method and a causal Bayesian network method are proposed and used for analysis. Afterwards, we did preliminary analysis on network topologies. The significance of this paper is on how to extract neuron activities from live mouse brain imaging videos and a network analysis method to analyze its topology. |
| Audience | Academic |
| Author | Jui-Hsin (Larry) Lai Wang, Shun-Xuan Lin, Ching-Yung Yu, Ruichi |
| AuthorAffiliation | IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA Columbia University, New York City, NY, USA |
| AuthorAffiliation_xml | – name: IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA – name: Columbia University, New York City, NY, USA |
| Author_xml | – sequence: 1 givenname: Ruichi surname: Yu fullname: Yu, Ruichi organization: IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA – sequence: 2 surname: Jui-Hsin (Larry) Lai fullname: Jui-Hsin (Larry) Lai organization: IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA – sequence: 3 givenname: Shun-Xuan surname: Wang fullname: Wang, Shun-Xuan organization: Columbia University, New York City, NY, USA – sequence: 4 givenname: Ching-Yung surname: Lin fullname: Lin, Ching-Yung organization: IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA |
| BookMark | eNp1kUFvFCEUx4mpiXXbD-CNxIsmbstjYJg5rnWta3b1ol4Jw8BInYUVZmz77WUz1bVVOQAhv_fP4_2eoiMfvEHoGZAzRqA6X73fvFluzigBQQQBAo_QMdRMzCvO6NHve8GeoNOUrkhenAkB7BhtXkflPP5gxhj2x3Ad4je8vBmi0oPLT8q3eOFVf5tcwsHitfth8MZpg20MW7zaqs75Dn9xrQnpBD22qk_m9O6coc9vl58u3s3XHy9XF4v1XBcchnmliCiBKVo1jbGNYpYBL4FzZZStmhao5rlDCiWzoEnJW15xqq1tddvUNS9m6MWUu4vh-2jSILcuadP3ypswJgk18ILyPImMPn-AXoUx5g8lSeuCFjUDoAeqU72RztuwH8A-VC5ESbjgItMz9OoPqhmT8yblLbnu65A6NaZ0H4cJ1zGkFI2Vu-i2Kt5KIHIvTk7i5EFcrrmcalznDp16OQmSd4LkL0H_Dapy0st_JP0Fyl1ri58NQq73 |
| Cites_doi | 10.1016/j.neuroimage.2011.08.085 10.1371/journal.pone.0002051 10.1016/j.neuron.2012.03.004 10.1007/BF00994110 10.1007/BF00994018 10.1016/j.neuroimage.2009.10.003 10.1038/scientificamerican0314-38 10.1140/epjst/e2010-01179-1 10.1016/j.eplepsyres.2008.02.002 10.1007/978-1-4612-2748-9 10.1016/j.neuron.2011.09.006 10.1016/j.neuron.2012.02.011 10.1016/j.pneurobio.2005.10.003 10.1007/s11263-006-0002-3 10.1023/B:VISI.0000029664.99615.94 10.1016/j.tics.2011.08.003 10.1109/ICCV.1998.710815 10.1016/S1059-1311(03)00095-5 10.1145/361237.361242 10.1016/j.eswa.2010.02.065 10.1073/pnas.0706851105 10.1038/nmeth818 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2017 IGI Global Copyright © 2017, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. |
| Copyright_xml | – notice: COPYRIGHT 2017 IGI Global – notice: Copyright © 2017, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. |
| DBID | AAYXX CITATION N95 7SC 8FD 8FE 8FG ABJCF AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- L6V L7M L~C L~D M7S P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PTHSS |
| DOI | 10.4018/IJMDEM.2017070101 |
| DatabaseName | CrossRef Gale Business: Insights Computer and Information Systems Abstracts Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central ProQuest Advanced Technologies & Aerospace Database ProQuest Central Essentials ProQuest Central Technology Collection ProQuest One Community College ProQuest Central ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database ProQuest Engineering Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Engineering Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition Engineering Collection |
| DatabaseTitle | CrossRef Computer Science Database ProQuest Central Student Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ProQuest One Community College ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest Central Korea ProQuest Central (New) Advanced Technologies Database with Aerospace Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection Computer and Information Systems Abstracts Professional ProQuest One Academic UKI Edition Materials Science & Engineering Collection ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | Computer and Information Systems Abstracts CrossRef Computer Science Database |
| Database_xml | – sequence: 1 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1947-8542 |
| EndPage | 20 |
| ExternalDocumentID | A760575729 10_4018_IJMDEM_2017070101 n_Neuron_Network_Extracti10_4018_IJMDEM_20170701018 |
| GeographicLocations | Taiwan |
| GeographicLocations_xml | – name: Taiwan |
| GroupedDBID | 0R ABEPT ADEKF ALMA_UNASSIGNED_HOLDINGS COVLG EBS EJD H13 HZ JRD MV1 NEEBM O9- RIF 0R~ 4.4 AAYVP AAYXX ABDBF ABJCF ABPHS ACOJC AFKRA ARAPS BAAKF BENPR BGLVJ BYHXH CBWLS CCPQU CDTDJ CIGCI CITATION CKMBR CNQXE CTSEY HCIFZ HZ~ IAO ITC K7- M7S N95 PHGZM PHGZT PQGLB PTHSS PUEGO 7SC 8FD 8FE 8FG AZQEC DWQXO GNUQQ JQ2 L6V L7M L~C L~D P62 PKEHL PQEST PQQKQ PQUKI |
| ID | FETCH-LOGICAL-c351t-8a07614a28bbefba4f4156155aeaf8bd12c50542164f1c065d5852cffdcdb9953 |
| IEDL.DBID | BENPR |
| ISSN | 1947-8534 |
| IngestDate | Thu Oct 02 11:13:15 EDT 2025 Fri Jul 25 12:05:47 EDT 2025 Mon Oct 20 22:19:03 EDT 2025 Fri May 23 01:15:13 EDT 2025 Wed Oct 01 04:16:14 EDT 2025 Thu May 09 18:55:52 EDT 2019 Tue Jan 05 23:30:59 EST 2021 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c351t-8a07614a28bbefba4f4156155aeaf8bd12c50542164f1c065d5852cffdcdb9953 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| PQID | 2932394112 |
| PQPubID | 2045821 |
| PageCount | 20 |
| ParticipantIDs | gale_infotracmisc_A760575729 gale_businessinsightsgauss_A760575729 proquest_miscellaneous_1915325101 proquest_journals_2932394112 igi_journals_n_Neuron_Network_Extracti10_4018_IJMDEM_20170701018 crossref_primary_10_4018_IJMDEM_2017070101 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2017-07-01 |
| PublicationDateYYYYMMDD | 2017-07-01 |
| PublicationDate_xml | – month: 07 year: 2017 text: 2017-07-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Hershey |
| PublicationPlace_xml | – name: Hershey |
| PublicationTitle | International journal of multimedia data engineering & management |
| PublicationYear | 2017 |
| Publisher | IGI Global |
| Publisher_xml | – name: IGI Global |
| References | IJMDEM.2017070101-18 IJMDEM.2017070101-17 IJMDEM.2017070101-19 IJMDEM.2017070101-14 I.Goodfellow (IJMDEM.2017070101-6) 2016 IJMDEM.2017070101-16 IJMDEM.2017070101-10 IJMDEM.2017070101-12 IJMDEM.2017070101-11 IJMDEM.2017070101-5 IJMDEM.2017070101-4 A.Mahmood (IJMDEM.2017070101-13) 2011 IJMDEM.2017070101-3 IJMDEM.2017070101-2 IJMDEM.2017070101-9 IJMDEM.2017070101-8 IJMDEM.2017070101-7 R. K.Thomas (IJMDEM.2017070101-25) 1993; 120 IJMDEM.2017070101-28 IJMDEM.2017070101-24 IJMDEM.2017070101-27 IJMDEM.2017070101-26 IJMDEM.2017070101-1 IJMDEM.2017070101-21 IJMDEM.2017070101-0 IJMDEM.2017070101-20 IJMDEM.2017070101-23 D.Schacter (IJMDEM.2017070101-22) 2011 J.Pearl (IJMDEM.2017070101-15) 1988 |
| References_xml | – ident: IJMDEM.2017070101-24 doi: 10.1016/j.neuroimage.2011.08.085 – ident: IJMDEM.2017070101-9 doi: 10.1371/journal.pone.0002051 – year: 2011 ident: IJMDEM.2017070101-13 publication-title: Structure Learning of Causal Bayesian Networks: A Survey – year: 2011 ident: IJMDEM.2017070101-22 publication-title: Psychology – ident: IJMDEM.2017070101-4 – ident: IJMDEM.2017070101-28 doi: 10.1016/j.neuron.2012.03.004 – ident: IJMDEM.2017070101-2 doi: 10.1007/BF00994110 – year: 1988 ident: IJMDEM.2017070101-15 publication-title: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference – ident: IJMDEM.2017070101-3 doi: 10.1007/BF00994018 – ident: IJMDEM.2017070101-21 doi: 10.1016/j.neuroimage.2009.10.003 – ident: IJMDEM.2017070101-27 doi: 10.1038/scientificamerican0314-38 – year: 2016 ident: IJMDEM.2017070101-6 publication-title: Deep Learning – ident: IJMDEM.2017070101-19 doi: 10.1140/epjst/e2010-01179-1 – ident: IJMDEM.2017070101-10 doi: 10.1016/j.eplepsyres.2008.02.002 – ident: IJMDEM.2017070101-17 doi: 10.1007/978-1-4612-2748-9 – ident: IJMDEM.2017070101-18 doi: 10.1016/j.neuron.2011.09.006 – ident: IJMDEM.2017070101-23 – ident: IJMDEM.2017070101-7 doi: 10.1016/j.neuron.2012.02.011 – ident: IJMDEM.2017070101-16 doi: 10.1016/j.pneurobio.2005.10.003 – volume: 120 start-page: 5 issue: 1 year: 1993 ident: IJMDEM.2017070101-25 article-title: Introduction: A Biopsychology Festschrift in Honor of Lelon J. Peacock publication-title: The Journal of General Psychology – ident: IJMDEM.2017070101-1 doi: 10.1007/s11263-006-0002-3 – ident: IJMDEM.2017070101-12 doi: 10.1023/B:VISI.0000029664.99615.94 – ident: IJMDEM.2017070101-14 doi: 10.1016/j.tics.2011.08.003 – ident: IJMDEM.2017070101-26 doi: 10.1109/ICCV.1998.710815 – ident: IJMDEM.2017070101-11 doi: 10.1016/S1059-1311(03)00095-5 – ident: IJMDEM.2017070101-5 doi: 10.1145/361237.361242 – ident: IJMDEM.2017070101-0 doi: 10.1016/j.eswa.2010.02.065 – ident: IJMDEM.2017070101-20 doi: 10.1073/pnas.0706851105 – ident: IJMDEM.2017070101-8 doi: 10.1038/nmeth818 |
| SSID | ssj0000547714 |
| Score | 2.003592 |
| Snippet | Modern brain mapping techniques are producing increasingly large datasets of anatomical or functional connection patterns. Recently, it became possible to... |
| SourceID | proquest gale crossref igi |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 1 |
| SubjectTerms | Bayesian analysis Brain Cerebral cortex Compensation Cross correlation Imaging Luminance Mice Network analysis Network topologies Networks Neurons Topology Video |
| Title | Brain Neuron Network Extraction and Analysis of Live Mice from Imaging Videos |
| URI | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMDEM.2017070101 https://www.proquest.com/docview/2932394112 https://www.proquest.com/docview/1915325101 |
| Volume | 8 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate - TFS customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1947-8542 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000547714 issn: 1947-8534 databaseCode: ABDBF dateStart: 20100101 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVPQU databaseName: Proquest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1947-8542 dateEnd: 20211231 omitProxy: true ssIdentifier: ssj0000547714 issn: 1947-8534 databaseCode: BENPR dateStart: 20100101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB51txcutLxEoFQGwQUp6sbOwzkgaNEubcWuEKKoNyuO7WoPJNtmV-Lndyaxu6oquCSHWLbz2R7PjMfzAbxPk3qSWEEBT9rEaH-lcWl5HousFNpYmdT9Cf58kZ9epOeX2eUOLMJdGAqrDDKxF9SmrclHfoTbErF4o3rweXUdE2sUna4GCo3KUyuYT32KsRHscsqMNYbdk-nix887rwsqKEWRDEfNKYrnTKTDUSeaGfLo7HyOf0_xXgWuhMQTxYTNyovs0fJq-UBw97vRbB8eezWSHQ_j_gR2bPMU9gJFA_Mr9hnMT4gCgvUpOOjVx3yz6d_1zXChgVWNYSExCWsd-47Sj81RejC6eMLO_vQsRuz30ti2ew4Xs-mvr6exZ1CIa5El61hW5KZIKy61tk5XqSN7DSGqbOWkNgmvUQNKOdpMDgctzwxaD7x2ztRGl2UmXsC4aRv7Ehg3E64Fn2heytSWRjtT2NzJiSgqJ-okgo8BKrUaEmUoNDAIVzXgqra4RvCBwFSeaBMfHbkiuqtq03XquMhJi0S1P4KDvhwtNgIGp3597_M7HAzlV133sB21Mi6CL_cKNWrAXHnMVcD8n72V2I0w3Nt6thMygrd3n6mHFLbW2HbTKTSGM8FJ7L36fxWv4RG1N8QBH8B4fbOxb1DbWetDGMnZt0M_kW8Bimj5fA |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Nb9MwGH41tgNc-EYEBhjELkjRGtv5OkywQad2ayuENrSbiWN76oGkLK2AP8dv430TZ9U0wW2X9pDUcR_n_Xjs134A3sqoHERWUMGTNiHyLxnmliehiHOhjc2isl3Bn86S0ak8OovPNuBPvxeGyip7n9g6alOXNEe-i2GJVLwxPXi_-BGSahStrvYSGoWXVjB77RFjfmPHsf39Eylcszf-hOO9w_nh8OTjKPQqA2Ep4mgZZgVReVnwTGvrdCEdcRpsprCFy7SJeIlZguTIKxz-sSQ2mGHz0jlTGp3npBqBIWBLCpkj-ds6GM4-f7mc5cEfpmnULW1LDAexkN3SKtKabHd8NEW0qb4sRcuLvDBNHxx9iLg1P59fCxRt9Du8D3d92sr2u_fsAWzY6iHc6yUhmPcQj2B6QJITrD3yg77aGnM2_LW86DZQsKIyrD8IhdWOTdDbsil6K0YbXdj4e6uaxL7Oja2bx3B6I1g-gc2qruxTYNwMuBZ8oHmeSZsb7UxqE5cNRFo4UUYBvOuhUovuYA6FhIZwVR2uao1rADsEpvLCnvjR0NRHc16smkbtpwllrUgzAthu7yPjJmDQ1Morl9_gYChv5c3156iFcQF8uHJTpTrMlcdc9Zj_s7cZdqMf7nU7awMI4PXlZeohlclVtl41Csl3LDi52Wf_b-IV3B6dTCdqMp4dP4c79OyuBnkbNpcXK_sCM62lfulfZwbfbtqC_gIKaDYF |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Brain+Neuron+Network+Extraction+and+Analysis+of+Live+Mice+from+Imaging+Videos&rft.jtitle=International+journal+of+multimedia+data+engineering+%26+management&rft.au=Yu%2C+Ruichi&rft.au=-Hsin+%28Larry%29+Lai&rft.au=Wang%2C+Shun-Xuan&rft.au=Lin%2C+Ching-Yung&rft.date=2017-07-01&rft.issn=1947-8534&rft.volume=8&rft.issue=3&rft.spage=1&rft.epage=20&rft_id=info:doi/10.4018%2FIJMDEM.2017070101&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1947-8534&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1947-8534&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1947-8534&client=summon |