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A series of five population-specific Indian brain templates and atlases spanning ages 6-60 years.
Holla, Bharath; Taylor, Paul A; Glen, Daniel R; Lee, John A; Vaidya, Nilakshi; Mehta, Urvakhsh Meherwan; Venkatasubramanian, Ganesan; Pal, Pramod Kumar; Saini, Jitender; Rao, Naren P; Ahuja, Chirag K; Kuriyan, Rebecca; Krishna, Murali; Basu, Debashish; Kalyanram, Kartik; Chakrabarti, Amit; Orfanos, Dimitri Papadopoulos; Barker, Gareth J; Cox, Robert W; Schumann, Gunter; Bharath, Rose Dawn; Benegal, Vivek.
Affiliation
  • Holla B; National Institute of Mental Health and Neuro Sciences, Bengaluru, India.
  • Taylor PA; Scientific and Statistical Computing Core, NIMH, NIH, Bethesda, Maryland, USA.
  • Glen DR; Scientific and Statistical Computing Core, NIMH, NIH, Bethesda, Maryland, USA.
  • Lee JA; Scientific and Statistical Computing Core, NIMH, NIH, Bethesda, Maryland, USA.
  • Vaidya N; National Institute of Mental Health and Neuro Sciences, Bengaluru, India.
  • Mehta UM; Centre for Population Neuroscience and Stratified Medicine (PONS), SGDP Centre, IoPPN, KCL, London, UK.
  • Venkatasubramanian G; National Institute of Mental Health and Neuro Sciences, Bengaluru, India.
  • Pal PK; National Institute of Mental Health and Neuro Sciences, Bengaluru, India.
  • Saini J; National Institute of Mental Health and Neuro Sciences, Bengaluru, India.
  • Rao NP; National Institute of Mental Health and Neuro Sciences, Bengaluru, India.
  • Ahuja CK; National Institute of Mental Health and Neuro Sciences, Bengaluru, India.
  • Kuriyan R; Post Graduate Institute of Medical Education and Research, Chandigarh, India.
  • Krishna M; St. John's Medical College and Research Institute, Bengaluru, India.
  • Basu D; CSI Holdsworth Memorial Hospital, Mysore, India.
  • Kalyanram K; Foundation for Research and Advocacy in Mental Health, Mysore, India.
  • Chakrabarti A; Post Graduate Institute of Medical Education and Research, Chandigarh, India.
  • Orfanos DP; Rishi Valley Rural Health Centre, Madanapalle, India.
  • Barker GJ; ICMR-Regional Occupational Health Centre, Kolkata, India.
  • Cox RW; NeuroSpin, CEA, Université Paris-Saclay, Paris, France.
  • Schumann G; Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London (KCL), London, UK.
  • Bharath RD; Scientific and Statistical Computing Core, NIMH, NIH, Bethesda, Maryland, USA.
  • Benegal V; Centre for Population Neuroscience and Stratified Medicine (PONS), SGDP Centre, IoPPN, KCL, London, UK.
Hum Brain Mapp ; 41(18): 5164-5175, 2020 12 15.
Article in En | MEDLINE | ID: mdl-32845057
ABSTRACT
Anatomical brain templates are commonly used as references in neurological MRI studies, for bringing data into a common space for group-level statistics and coordinate reporting. Given the inherent variability in brain morphology across age and geography, it is important to have templates that are as representative as possible for both age and population. A representative-template increases the accuracy of alignment, decreases distortions as well as potential biases in final coordinate reports. In this study, we developed and validated a new set of T1w Indian brain templates (IBT) from a large number of brain scans (total n = 466) acquired across different locations and multiple 3T MRI scanners in India. A new tool in AFNI, make_template_dask.py, was created to efficiently make five age-specific IBTs (ages 6-60 years) as well as maximum probability map (MPM) atlases for each template; for each age-group's template-atlas pair, there is both a "population-average" and a "typical" version. Validation experiments on an independent Indian structural and functional-MRI dataset show the appropriateness of IBTs for spatial normalization of Indian brains. The results indicate significant structural differences when comparing the IBTs and MNI template, with these differences being maximal along the Anterior-Posterior and Inferior-Superior axes, but minimal Left-Right. For each age-group, the MPM brain atlases provide reasonably good representation of the native-space volumes in the IBT space, except in a few regions with high intersubject variability. These findings provide evidence to support the use of age and population-specific templates in human brain mapping studies.
Subject(s)
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Full text: 1 Database: MEDLINE Main subject: Atlases as Topic / Algorithms / Image Processing, Computer-Assisted / Brain / Magnetic Resonance Imaging / Neuroimaging Type of study: Observational_studies Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Hum Brain Mapp Journal subject: CEREBRO Year: 2020 Type: Article Affiliation country: India

Full text: 1 Database: MEDLINE Main subject: Atlases as Topic / Algorithms / Image Processing, Computer-Assisted / Brain / Magnetic Resonance Imaging / Neuroimaging Type of study: Observational_studies Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Hum Brain Mapp Journal subject: CEREBRO Year: 2020 Type: Article Affiliation country: India