Wikipedia

Alan Anticevic

Alan Anticevic is a Croatian neuroscientist known for his contributions to the fields of cognitive neuroscience, computational psychiatry, and neuroimaging studies of severe psychiatric illnesses.[1]

Alan Anticevic
Alma materWashington University in St. Louis
Scientific career
FieldsNeuroscience, Psychiatric illness
InstitutionsYale School of Medicine

He was the first individual in the field of psychiatry and the first Yale faculty to be awarded the NIH Director's Early Independence award in 2012.[2] His work is focused on developing clinical and pharmacological neuroimaging biomarkers that inform neural mechanisms leading to neuropsychiatric disorders.[3]

Early life and education

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Alan Anticevic earned his Bachelor's degree in Psychology and Neuroscience from Drake University in 2004. Following his undergraduate studies, he obtained a Master's degree in Clinical Psychology in 2007. Anticevic completed his Ph.D. at Washington University in St. Louis, in 2011, where he trained in Clinical Psychology and Cognitive Neuroscience. Later, Anticevic pursued post-doctoral training in Clinical Neuropsychology at Yale University.

Career

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Alan Anticevic was appointed an associate research scientist from 2011 to 2013 at Yale University School of Medicine and during this period he served as the Administrative Director for the Center for Translational Neuroscience of Alcoholism (CTNA).[4] In 2013, he was appointed Assistant Professor at Yale University. He is currently the Glenn H. Greenberg Associate Professor of Psychiatry and Psychology at the Yale School of Medicine, where he directs the division for Neurocognition, Neurocomputation and Neurogenetics (N3) at the Department of Psychiatry.[1]

Anticevic's early work applied clinical neuroimaging to understand biomarkers of cognitive and affective processes in people suffering from schizophrenia.[5] Anticevic focused on developing neuroimaging measures for a cognitive process called working memory, which refers to the ability to hold information in mind over time, which is affected in schizophrenia. Anticevic's research team applied biophysical computational modeling approaches to understand the neural circuit mechanism that supports working memory in humans.[6] He applied pharmacological neuroimaging to test neural and behavioral predictions of computational models that simulate circuit activity underpinning spatial working memory.[7] Building on this work, his team has pioneered translational fMRI biomarkers that may map to mechanisms which are now employed in clinical trials.[8]

Anticevic and his team have also been conducting research into development of cross-diagnostic biomarkers that capitalize on large clinical neuroimaging datasets and statistical learning methods.[9][10][11] His team leveraged the power of functional neuroimaging to map the relationship between how mental health symptoms vary in relation to fMRI signals in the absence of a cognitive task or external stimuli - the so-called resting-state fMRI. This allows for identification of brain areas whose pattern of communication with other brain areas may reveal links to psychiatric symptoms.[12][13] His team found that traditional ways of measuring symptoms of psychosis, such as averaging across many items on a questionnaire, does not produce reliable brain biomarkers even when evaluating hundreds of patients.[14] Instead they found that using statistical learning methods can help quantify a substantially more precise and reliable mapping between symptoms and brain signals, which can lead to superior understanding of disease mechanisms[15] as well as potential therapeutic drug targets.[16]

Anticevic has also advanced approaches to map effects of neuropharmacology on the human brain, in an effort to understand the underlying mechanism of action in humans as well as advance methods for drug discovery. Specifically, his team has studied neural acute effects of ketamine in healthy volunteers using rating scale-based behavioural and resting-state fMRI-based neural measures. His work provided strong evidence of inter-individual variability in responses to ketamine along with associations to relevant gene expression markers (somatostatin, parvalbumin) in the brain.[17] His work has also established that acute administration of LSD in healthy volunteers induces patterns of resting-state fMRI-based functional connectivity that implicate the 5-HT2A receptor in LSD's neuropharmacology.[18]

Research

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Anticevic's research investigates various aspects related to development of biomarkers for severe neuropsychiatric disorders such as schizophrenia, bipolar disorder, and substance abuse.[19] His research has focused on the cognitive neuroscience of psychiatric illness, functional connectivity, and functional neuroimaging analysis methodology, all in the service of developing tools to advance therapies for neuropsychiatric disorders.[20] One particular area of interest is in the brain circuits involved in cognitive operations, such as working memory, and understanding their interaction with neural systems involved in affective processes.[21][22] Methodologically, Anticevic employs a combination of task-based and resting-state functional neuroimaging, pharmacological functional neuroimaging, and computational modeling approaches to mechanistically understand neural circuit mechanism in psychiatric disorders.[23] Anticevic and his collaborators have also advanced a number of tools and methods for human neuroimaging, such as techniques for relating human neural gene expression patterns to neuroimaging measures.[24] In addition, his team has developed methods for testing the effects of pharmacology on human brain signals using substances such as ketamine[25][26] and LSD[27] and psilocybin.[28]

Awards and honors

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In 2012, Anticevic received the NIH Director's Early Independence Award as well as the NARSAD Young Investigator Award. In 2014 he was recognized by the International Congress of Schizophrenia Research with the Young Investigator Award.[29][30][31][32] Anticevic received the American Psychological Society Janet Taylor Spence Award for Transformative Early Career Contribution in 2014.[33] In 2020 his contributions to teaching and mentorship were recognized by the Yale Department of Psychiatry Chairman's Award. In 2022 he received the Yale Ventures Faculty Innovation Award.[34]

Selected publications

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Books

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  • Computational Psychiatry: Mathematical Modeling of Mental Illness. Elsevier. 2018. ISBN 978-0-12-809825-7.

Articles

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Published Patents

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  • US 20240062847A1, D. Murray, John; Anticevic, Alan & J. Martin, William, "Methods and systems for computer-generated predictive application of neuroimaging and gene expression mapping data" 
  • US 20210005306A1, Anticevic, Alan; Murray, John & Lisa JI, Jie, "Systems and Methods for Neuro-Behavioral Relationships in Dimensional Geometric Embedding (N-Bridge)" 

References

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  1. ^ a b "Alan Anticevic". researchgate.net. Retrieved 2024-06-09.
  2. ^ "2012 NIH Director's Early Independence awards recognizes 14 scientists". National Institutes of Health (NIH). 2015-09-30. Retrieved 2024-06-27.
  3. ^ "Alan Anticevic, PhD". medicine.yale.edu. Retrieved 2024-06-09.
  4. ^ "Center for the Translational Neuroscience of Alcohol". medicine.yale.edu. Retrieved 2024-06-27.
  5. ^ Anticevic, Alan; Cole, Michael W.; Murray, John D.; Corlett, Philip R.; Wang, Xiao-Jing; Krystal, John H. (December 2012). "The role of default network deactivation in cognition and disease". Trends in Cognitive Sciences. 16 (12): 584–592. doi:10.1016/j.tics.2012.10.008. ISSN 1364-6613. PMC 3501603. PMID 23142417.
  6. ^ Murray, John D.; Anticevic, Alan; Gancsos, Mark; Ichinose, Megan; Corlett, Philip R.; Krystal, John H.; Wang, Xiao-Jing (2014). "Linking microcircuit dysfunction to cognitive impairment: effects of disinhibition associated with schizophrenia in a cortical working memory model". Cerebral Cortex. 24 (4): 859–872. doi:10.1093/cercor/bhs370. PMC 3948492. PMID 23203979.
  7. ^ Anticevic, Alan; Gancsos, Mark; Murray, John D.; Repovs, Grega; Driesen, Naomi R.; Ennis, Debra J.; Niciu, Mark J.; Morgan, Peter T.; Surti, Toral S.; Bloch, Michael H.; Ramani, Ramachandran; Smith, Mark A.; Wang, Xiao-Jing; Krystal, John H.; Corlett, Philip R. (2012-10-09). "NMDA receptor function in large-scale anticorrelated neural systems with implications for cognition and schizophrenia". Proceedings of the National Academy of Sciences. 109 (41): 16720–16725. Bibcode:2012PNAS..10916720A. doi:10.1073/pnas.1208494109. ISSN 0027-8424. PMC 3478611. PMID 23012427.
  8. ^ "A Translational and Neurocomputational Evaluation of a Dopamine Receptor 1 Partial Agonist for Schizophrenia". clinicaltrials.gov. 2024-05-08. Retrieved 2024-06-27.
  9. ^ Anticevic, Alan; Haut, Kristen; Murray, John D.; Repovs, Grega; Yang, Genevieve J.; Diehl, Caroline; McEwen, Sarah C.; Bearden, Carrie E.; Addington, Jean; Goodyear, Bradley (2015). "Association of thalamic dysconnectivity and conversion to psychosis in youth and young adults at elevated clinical risk". JAMA Psychiatry. 72 (9): 882–891. doi:10.1001/jamapsychiatry.2015.0566. PMC 4892891. PMID 26267151.
  10. ^ Anticevic, Alan; Cole, Michael W.; Repovs, Grega; Murray, John D.; Brumbaugh, Margaret S.; Winkler, Anderson M.; Savic, Aleksandar; Krystal, John H.; Pearlson, Godfrey D.; Glahn, David C. (2014). "Characterizing thalamo-cortical disturbances in schizophrenia and bipolar illness". Cerebral Cortex. 24 (12): 3116–3130. doi:10.1093/cercor/bht165. PMC 4224238. PMID 23825317.
  11. ^ Yang, Genevieve J.; Murray, John D.; Repovs, Grega; Cole, Michael W.; Savic, Aleksandar; Glasser, Matthew F.; Pittenger, Christopher; Krystal, John H.; Wang, Xiao-Jing; Pearlson, Godfrey D.; Glahn, David C.; Anticevic, Alan (2014-05-20). "Altered global brain signal in schizophrenia". Proceedings of the National Academy of Sciences. 111 (20): 7438–7443. Bibcode:2014PNAS..111.7438Y. doi:10.1073/pnas.1405289111. ISSN 0027-8424. PMC 4034208. PMID 24799682.
  12. ^ Ji, Jie Lisa; Spronk, Marjolein; Kulkarni, Kaustubh; Repovš, Grega; Anticevic, Alan; Cole, Michael W. (2019). "Mapping the human brain's cortical-subcortical functional network organization". NeuroImage. 185: 35–57. doi:10.1016/j.neuroimage.2018.10.006. PMC 6289683. PMID 30291974.
  13. ^ Ji, Jie Lisa; Diehl, Caroline; Schleifer, Charles; Tamminga, Carol A.; Keshavan, Matcheri S.; Sweeney, John A.; Clementz, Brett A.; Hill, S. Kristian; Pearlson, Godfrey; Yang, Genevieve (2019). "Schizophrenia exhibits bi-directional brain-wide alterations in cortico-striato-cerebellar circuits". Cerebral Cortex. 29 (11): 4463–4487. doi:10.1093/cercor/bhy306. PMC 6917525. PMID 31157363.
  14. ^ Ji, Jie Lisa; Helmer, Markus; Fonteneau, Clara; Burt, Joshua B.; Tamayo, Zailyn; Demšar, Jure; Adkinson, Brendan D.; Savić, Aleksandar; Preller, Katrin H.; Moujaes, Flora (2021). "Mapping brain-behavior space relationships along the psychosis spectrum". eLife. 10: e66968. doi:10.7554/eLife.66968. PMC 8315806. PMID 34313219.
  15. ^ Anticevic, Alan; Lisman, John (2017). "How can global alteration of excitation/inhibition balance lead to the local dysfunctions that underlie schizophrenia?". Biological Psychiatry. 81 (10): 818–820. doi:10.1016/j.biopsych.2016.12.006. PMID 28063469.
  16. ^ Krystal, John H.; Anticevic, Alan (2015). "Toward illness phase–specific pharmacotherapy for schizophrenia". Biological Psychiatry. 78 (11): 738–740. doi:10.1016/j.biopsych.2015.08.017. PMID 26542740.
  17. ^ Moujaes, Flora; Ji, Jie Lisa; Rahmati, Masih; Burt, Joshua B; Schleifer, Charles; Adkinson, Brendan D; Savic, Aleksandar; Santamauro, Nicole; Tamayo, Zailyn; Diehl, Caroline; Kolobaric, Antonija; Flynn, Morgan; Rieser, Nathalie; Fonteneau, Clara; Camarro, Terry (2024-04-17). Fornito, Alex; Roiser, Jonathan; Kraus, Christoph (eds.). "Ketamine induces multiple individually distinct whole-brain functional connectivity signatures". eLife. 13: e84173. doi:10.7554/eLife.84173. ISSN 2050-084X. PMC 11023699. PMID 38629811.
  18. ^ Preller, Katrin H; Burt, Joshua B; Ji, Jie Lisa; Schleifer, Charles H; Adkinson, Brendan D; Stämpfli, Philipp; Seifritz, Erich; Repovs, Grega; Krystal, John H; Murray, John D; Vollenweider, Franz X; Anticevic, Alan (2018-10-25). Hunt, Laurence Tudor; Behrens, Timothy E (eds.). "Changes in global and thalamic brain connectivity in LSD-induced altered states of consciousness are attributable to the 5-HT2A receptor". eLife. 7: e35082. doi:10.7554/eLife.35082. ISSN 2050-084X. PMC 6202055. PMID 30355445.
  19. ^ "How ketamine treats resistant depression". thenakedscientists.com. 2024-04-19. Retrieved 2024-06-09.
  20. ^ "Functional Connectivity Brain Changes Involving Linkages Between Cognition and Motor Function Are Discerned in OCD Patients". bbrfoundation.org. 2023-07-06. Retrieved 2024-06-09.
  21. ^ Hathaway, Bill (2024-02-26). "Generative modeling framework helps predict relationship between neural readings and patient symptoms". medicalxpress.com. Retrieved 2024-06-09.
  22. ^ "How LSD Changes Perception". Neuroscience News. 2018-10-26. Retrieved 2024-06-09.
  23. ^ "SFARI | Alan Anticevic". SFARI. 2019-09-09. Retrieved 2024-06-09.
  24. ^ Burt, Joshua B.; Demirtaş, Murat; Eckner, William J.; Navejar, Natasha M.; Ji, Jie Lisa; Martin, William J.; Bernacchia, Alberto; Anticevic, Alan; Murray, John D. (2018). "Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography". Nature Neuroscience. 21 (9): 1251–1259. doi:10.1038/s41593-018-0195-0. PMC 6119093. PMID 30082915.
  25. ^ Anticevic, Alan; Gancsos, Mark; Murray, John D.; Repovs, Grega; Driesen, Naomi R.; Ennis, Debra J.; Niciu, Mark J.; Morgan, Peter T.; Surti, Toral S.; Bloch, Michael H.; Ramani, Ramachandran; Smith, Mark A.; Wang, Xiao-Jing; Krystal, John H.; Corlett, Philip R. (2012-10-09). "NMDA receptor function in large-scale anticorrelated neural systems with implications for cognition and schizophrenia". Proceedings of the National Academy of Sciences. 109 (41): 16720–16725. Bibcode:2012PNAS..10916720A. doi:10.1073/pnas.1208494109. ISSN 0027-8424. PMC 3478611. PMID 23012427.
  26. ^ Moujaes, Flora; Ji, Jie Lisa; Rahmati, Masih; Burt, Joshua B.; Schleifer, Charles; Adkinson, Brendan D.; Savic, Aleksandar; Santamauro, Nicole; Tamayo, Zailyn; Diehl, Caroline (2024). "Ketamine induces multiple individually distinct whole-brain functional connectivity signatures". eLife. 13: e84173. doi:10.7554/eLife.84173. PMC 11023699. PMID 38629811.
  27. ^ Preller, Katrin H.; Burt, Joshua B.; Ji, Jie Lisa; Schleifer, Charles H.; Adkinson, Brendan D.; Stämpfli, Philipp; Seifritz, Erich; Repovs, Grega; Krystal, John H.; Murray, John D. (2018). "Changes in global and thalamic brain connectivity in LSD-induced altered states of consciousness are attributable to the 5-HT2A receptor". eLife. 7: e35082. doi:10.7554/eLife.35082. PMC 6202055. PMID 30355445.
  28. ^ Preller, Katrin H.; Duerler, Patricia; Burt, Joshua B.; Ji, Jie Lisa; Adkinson, Brendan; Stämpfli, Philipp; Seifritz, Erich; Repovš, Grega; Krystal, John H.; Murray, John D. (2020). "Psilocybin induces time-dependent changes in global functional connectivity". Biological Psychiatry. 88 (2): 197–207. doi:10.1016/j.biopsych.2019.12.027. PMID 32111343.
  29. ^ "2012 Awardees | NIH Director's Early Independence Award". commonfund.nih.gov. Retrieved 2024-06-09.
  30. ^ Seger, Shane. "Young investigator is first Yale recipient of NIH Early Independence Award". medicine.yale.edu. Retrieved 2024-06-09.
  31. ^ "Brain & Behavior Research Foundation Names Winners of Klerman-Freedman Prizes for Exceptional Research". bbrfoundation.org. 2015-07-27. Retrieved 2024-06-09.
  32. ^ Seger, Shane. "Anticevic receives Young Investigator Award at 14th International Congress on Schizophrenia Research". medicine.yale.edu. Retrieved 2024-06-09.
  33. ^ "Janet Taylor Spence Award Recipients". Association for Psychological Science - APS. Retrieved 2024-06-27.
  34. ^ "Yale Faculty Innovation Awards Inaugural Class of 12 Honorees | Yale Ventures". ventures.yale.edu. Retrieved 2024-06-27.
  35. ^ Anticevic, Alan; W. Cole, Michael (2012). "The Role of Default Network Deactivation in Cognition and Disease". Trends in Cognitive Sciences. 16 (12): 584–592. doi:10.1016/j.tics.2012.10.008. PMC 3501603. PMID 23142417 – via Elsevier Science Direct.
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Alan Anticevic publications indexed by Google Scholar

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