Academic Journal
Highlights from the 2024 annual meeting of the fetal, infant, and Toddler Neuroimaging Group (FIT'NG).
| Title: | Highlights from the 2024 annual meeting of the fetal, infant, and Toddler Neuroimaging Group (FIT'NG). |
|---|---|
| Authors: | Roche-Labarbe N; University of Caen Normandy, Caen, France. Electronic address: nadege.roche@unicaen.fr., Bick J; University of Houston, Houston, TX, United States., Camacho MC; Washington University in St Louis, Saint Louis, MO, United States., Champaud J; University College London, King's College London, London, United Kingdom., Chung H; Boston Children's Hospital, Harvard Medical School, Boston, MA, United States., Fabrizi L; University College London, London, United Kingdom., Korom M; National Institute of Mental Health, Bethesda, MD, United States., Margolis ET; Department of Psychology, Northeastern University, Boston, MA, United States; Institute for Cognitive and Brain Health, Northeastern University, Boston, MA, United States., Moser J; University of Minnesota, Minneapolis, MN, United States., Nelson PM; Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA, United States; Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, United States., Schwarzlose RF; Washington University in St. Louis, Saint Louis, MO, United States., Spann M; Columbia University, Vagelos College of Physicians and Surgeons, United States., Zöllei L; Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States. |
| Source: | Developmental cognitive neuroscience [Dev Cogn Neurosci] 2026 Oct; Vol. 81, pp. 101814. Date of Electronic Publication: 2026 Sep 09. |
| Publication Type: | Introductory Journal Article; Editorial |
| Language: | English |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101541838 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-9307 (Electronic) Linking ISSN: 18789293 NLM ISO Abbreviation: Dev Cogn Neurosci Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Amsterdam : Elsevier |
| MeSH Terms: | Neuroimaging*/methods , Brain*/diagnostic imaging , Brain*/growth & development, Humans ; Infant ; Infant, Newborn ; Neurodevelopment ; Child, Preschool ; Congresses as Topic |
| Abstract: | The Fetal, Infant, and Toddler Neuroimaging Group (FIT'NG) is a scientific society advancing research on fetal, perinatal, infant, and early childhood brain and behavioral development through neuroimaging, encompassing theoretical, technical, fundamental, and clinical dimensions. It unites researchers across physics, neuroscience, cognitive science, psychology, computer science, biomedical engineering, and medicine, fostering interdisciplinary collaboration among leading laboratories in the field. The annual FIT'NG conference serves as a key forum for exchanging new ideas and methods, addressing shared challenges, and promoting best practices. It supports the society's mission of connecting complementary expertise and training the next generation of scientists in the field. This special issue compiles articles highlighting work presented at the FIT'NG conference held in September 2024 in Baltimore, MD, USA, offering an overview of recent advances in fetal, neonatal, infant, and toddler neuroimaging and their applications. A central focus of the FIT'NG community is identifying early markers of atypical neurodevelopment to support translational research and inform preventive and intervention strategies. Prematurity and other perinatal adversities, including environmental factors, serve as key models of atypical cognitive and social development and strong candidates for translational work. This focus has driven notable progress in technological and analytical methods, including high-precision functional and structural connectivity imaging, statistical innovations for large cohorts supporting hypothesis-driven longitudinal designs, and integrative modeling combining physiological and metabolic data with neuroimaging. Notably, this year's meeting featured significant advances in fetal research, increasingly enabled by deep learning, which now support individual-level analyses, paving the way for precision neuroscience and clinically relevant applications. (Copyright © 2026 The Authors. Published by Elsevier Ltd.. All rights reserved.) |
| Competing Interests: | Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| References: | Dev Cogn Neurosci. 2026 Oct;81:101781. (PMID: 42447610) Dev Cogn Neurosci. 2026 Jun;79:101696. (PMID: 41795500) Dev Cogn Neurosci. 2026 Apr;78:101663. (PMID: 41496289) Dev Cogn Neurosci. 2026 Jun;79:101731. (PMID: 42092393) Dev Cogn Neurosci. 2025 Dec;76:101638. (PMID: 41197568) Dev Cogn Neurosci. 2026 Jan;77:101644. (PMID: 41314078) Dev Cogn Neurosci. 2025 Dec;76:101637. (PMID: 41218290) Dev Cogn Neurosci. 2025 Dec;76:101641. (PMID: 41237635) Dev Cogn Neurosci. 2026 Jan;77:101652. (PMID: 41406687) Dev Cogn Neurosci. 2026 Apr;78:101680. (PMID: 41604954) Dev Cogn Neurosci. 2026 Jun;79:101704. (PMID: 41807894) Dev Cogn Neurosci. 2026 Oct;81:101795. (PMID: 42691579) Dev Cogn Neurosci. 2025 Dec;76:101629. (PMID: 41109198) Dev Cogn Neurosci. 2026 Jun;79:101705. (PMID: 41903261) Dev Cogn Neurosci. 2025 Oct;75:101610. (PMID: 40907278) Dev Cogn Neurosci. 2026 Apr;78:101679. (PMID: 41576766) |
| Grant Information: | R13 HD108938 United States HD NICHD NIH HHS |
| Contributed Indexing: | Keywords: Brain development; Early biomarkers; Fetal and infant neuroimaging; Neuroimaging; Perinatal adversity; Translational research |
| Entry Date(s): | Date Created: 20260918 Date Completed: 20261014 Latest Revision: 20261025 |
| Update Code: | 20261025 |
| PubMed Central ID: | PMC13689608 |
| DOI: | 10.1016/j.dcn.2026.101814 |
| PMID: | 42760178 |
| Database: | MEDLINE |
| ISSN: | 1878-9307 |
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| DOI: | 10.1016/j.dcn.2026.101814 |