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Neuroscience

D-Index
89
Citations
37151
World Ranking
1135
National Ranking
587

Overview

Jack L. Lancaster is affiliated with The University of Texas Health Science Center at San Antonio in the United States. Their research spans multiple disciplines within medicine and neuroscience, with a particular focus on cognitive neuroscience, radiology, nuclear medicine and imaging, endocrinology, diabetes and metabolism, experimental and cognitive psychology, and statistics and probability.

The scientist's work covers several main topics, including:

  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Statistical Methods and Inference
  • Thyroid Cancer Diagnosis and Treatment
  • Radiation Dose and Imaging

Recent publications by Jack L. Lancaster highlight their contributions to diverse areas of neuroscience and medical imaging:

  • Brain pathology recapitulates physiology: A network meta-analysis, 2021, Communications Biology
  • BACON: A tool for reverse inference in brain activation and alteration, 2021, Human Brain Mapping
  • FASpecT/CT, A New SPECT/CT Acquisition With Higher Sensitivity and Efficiency in Radioiodine Thyroid Cancer Imaging, 2020, Clinical Nuclear Medicine
  • Changes in Cerebral Blood Flow during an Alteration in Glycemic State in a Large Non-human Primate (Papio hamadryas sp.), 2020, UNC Libraries
  • Editorial board - TOC, 2023, Human Brain Mapping

They frequently publish in venues such as Human Brain Mapping, Communications Biology, Clinical Nuclear Medicine, and UNC Libraries.

Jack L. Lancaster collaborates regularly with several co-authors, including:

  • Peter T. Fox
  • Franco Cauda
  • Tommaso Costa
  • Simon B. Eickhoff
  • Peter Kochunov

The scope of their work integrates advanced neuroimaging techniques with clinical applications, such as thyroid cancer diagnosis and metabolic research related to glycemic state changes. Their interdisciplinary approach combines statistical inference and cognitive neuroscience to investigate brain function and pathology.

Best Publications

  • Automated Talairach Atlas labels for functional brain mapping

    Jack L. Lancaster;Marty G. Woldorff;Lawrence M. Parsons;Mario Liotti

  • Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness

    Helen S. Mayberg;Mario Liotti;Stephen K. Brannan;Scott McGinnis

  • A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)

    J. Mazziotta;A. Toga;A. Evans;P. Fox

  • A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development: The International Consortium for Brain Mapping (ICBM)

    John C. Mazziotta;Arthur W. Toga;Alan Evans;Peter Fox

  • Bias between MNI and Talairach coordinates analyzed using the ICBM-152 brain template

    Jack L. Lancaster;Diana Tordesillas-Gutiérrez;Michael Martinez;Felipe Salinas

  • ALE meta-analysis: Controlling the false discovery rate and performing statistical contrasts

    Angela R. Laird;P. Mickle Fox;Cathy J. Price;David C. Glahn

  • Use of implicit motor imagery for visual shape discrimination as revealed by PET

    Lawrence M. Parsons;Lawrence M. Parsons;Peter T. Fox;J. Hunter Downs;Thomas Glass

  • Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward-transform method

    J.L. Lancaster;L.H. Rainey;J.L. Summerlin;C.S. Freitas

  • Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis.

    David C. Glahn;Angela R. Laird;Ian Ellison-Wright;Sarah M. Thelen

  • BrainMap: the social evolution of a human brain mapping database.

    Angela R. Laird;Jack L. Lancaster;Peter T. Fox

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • A PET study of the neural systems of stuttering

    Peter T Fox;R. J. Ingham;J. C. Ingham;T. B. Hirsch

  • Mapping context and content : the BrainMap model

    Peter T. Fox;Jack L. Lancaster

  • A four-dimensional probabilistic atlas of the human brain

    J. Mazziotta;A. Toga;A. Evans;Peter T Fox

  • Clustered pixels analysis for functional MRI activation studies of the human brain

    Jinhu Xiong;Jia‐Hong ‐H Gao;Jack L. Lancaster;Peter T. Fox

  • A comparison of label-based review and ALE meta-analysis in the Stroop task.

    Angela R. Laird;Kathryn M. McMillan;Jack L. Lancaster;Peter Kochunov

  • ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas

    Angela R. Laird;Simon B. Eickhoff;Florian Kurth;Peter M. Fox

  • Fractional anisotropy of water diffusion in cerebral white matter across the lifespan

    P. Kochunov;P. Kochunov;Douglas E. Williamson;Jack L Lancaster;Peter T Fox

  • A modality-independent approach to spatial normalization of tomographic images of the human brain

    Jack L. Lancaster;Thomas G. Glass;Bhujanga R. Lankipalli;Hunter Downs

  • Brain correlates of stuttering and syllable production: a PET performance-correlation analysis

    Peter Fox;Roger Ingham;Janis Ingham;Frank Zamarripa

Frequent Co-Authors

Peter T. Fox
Peter T. Fox The University of Texas Health Science Center at San Antonio
Peter Kochunov
Peter Kochunov University of Maryland, Baltimore
David C. Glahn
David C. Glahn Boston Children's Hospital
Angela R. Laird
Angela R. Laird Florida International University
Jia-Hong Gao
Jia-Hong Gao Peking University
Paul M. Thompson
Paul M. Thompson University of Southern California
Jinhu Xiong
Jinhu Xiong University of Iowa
John Blangero
John Blangero The University of Texas Rio Grande Valley
Arthur W. Toga
Arthur W. Toga University of Southern California
John C. Mazziotta
John C. Mazziotta University of California, Los Angeles

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