Parikh Lab

Publications

Chandwani, R; Kline, J; Altaye, M; Parikh, N. Postnatal dexamethasone treatment for preterm infants at high risk for bronchopulmonary dysplasia is associated with improved regional brain volumes: a prospective cohort study. Archives of Disease in Childhood: Fetal and Neonatal Edition. 2025; 111(1):F74-F81.

Mahabee-Gittens, EM; Illapani, VSP; Kline-Fath, BM; Harpster, K; Magnino, A; Merhar, SL; Parikh, NA. Severity of punctate white matter lesions in preterm infants: antecedents and cerebral palsy prediction. Pediatric Research. 2025; 98(6):2220-2227.

Li, H; Hung, Y; Wang, J; Rudberg, N; Parikh, NA; He, L. Altered neurobehavioral white matter integrity in preterm children: A confounding-controlled analysis using the adolescent brain and cognitive development (ABCD) study. NeuroImage. 2025; 323:121600.

Weber, AM; Bakas, T; Bailey, R; Oudat, Q; Voos, KC; Rice, JB; Parikh, NA; Tubbs-Cooley, HL; Lambert, J; Rota, MJ; Kaplan, HC. Using FRAME Documentation to Achieve RE-AIM Goals During Iterative, Stakeholder-Engaged Refinement of a Family Management Intervention for Parents of Preterm Infants. Journal of Advanced Nursing. 2025; 81(11):7690-7706.

Roy, S; Peterson, L; Kline-Fath, B; Parikh, NA. Retinopathy of Prematurity and Risk of Structural Brain Abnormalities on Magnetic Resonance Imaging at Term Among Infants Born at Less Than or Equal to 32 Weeks of Gestation. Journal of Pediatrics. 2025; 286:114711.

Glazer, S; Mccullough, K; Parikh, NA; Barnes-Davis, M; Yuan, W; Dudley, J; Williams, T; Wade, SL. Preliminary efficacy of a novel online parenting skills program for caregivers of preterm children with behavioral challenges. Child Neuropsychology. 2025; 1-19.

Zhang, H; Li, H; Ali, R; Jia, W; Pan, W; Reeder, SB; Harris, D; Masch, W; Aslam, A; Shanbhogue, K; Parikh, NA; Dillman, JR; He, L. Development and Validation of a Modality-Invariant 3D Swin U-Net Transformer for Liver and Spleen Segmentation on Multi-Site Clinical Bi-parametric MR Images. J Imaging Inform Med. 2025; 38(5):2688-2699.

Lu, Z; Li, H; Parikh, NA; Dillman, JR; He, L. RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language-Image Pretraining. IEEE Transactions on Neural Networks and Learning Systems. 2025; 36(10):17613-17622.

Gittens, OE; Folger, AT; Zhang, X; Ding, L; Parikh, NA; Mahabee-Gittens, EM. Examination of DNA Methylation Patterns in Children Born Premature with Prenatal Tobacco Smoke Exposure. Toxics. 2025; 13(9).

Peterson, LS; Roy, S; Jain, VG; Merhar, SL; Harpster, K; Parikh, NA. Histologic Chorioamnionitis and Neurodevelopment in Preterm Infants. JAMA Network Open. 2025; 8(9):e2531158.

Jain, VG; Parikh, NA; Rysavy, MA; Shukla, VV; Saha, S; Hintz, S; Jobe, A; Carlo, WA; Ambalavanan, N. Funisitis increases the risk of death or cerebral palsy in extremely preterm infants. American Journal of Obstetrics and Gynecology. 2025; 233(3):197.e1-197.e13.

Derbie, AY; Tamm, L; Kline-Fath, B; Li, H; Harpster, K; Merhar, SL; He, L; Altaye, M; Parikh, NA. Diffuse white matter abnormality is independently predictive of neurodevelopmental outcomes in preterm infants. Archives of Disease in Childhood: Fetal and Neonatal Edition. 2025.

Ali, R; Li, H; Zhang, H; Pan, W; Reeder, SB; Harris, D; Masch, W; Aslam, A; Shanbhogue, K; Bernieh, A; Ranganathan, S; Parikh, N; Dillman, JR; He, L. Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI. European Radiology. 2025; 35(7):4362-4373.

Weber, A; Bakas, T; Oudat, Q; Parikh, NA; Lambert, J; Tubbs-Cooley, HL; Rice, J; Voos, K; Rota, M; Kaplan, HC. An Internet-Based and Mobile Family Management Intervention for Mothers of Very Preterm Infants Hospitalized in the Neonatal Intensive Care Unit (the Preemie Progress Program): Pilot Randomized Controlled Trial. JMIR Formative Research. 2025; 9:e66073.

Papathanasiou, AE; Miles, KG; Willmering, M; Zinjal, R; Parikh, N; Hysinger, EB; Woods, JC; Critser, PJ. School-aged Children With History of Prematurity and Bronchopulmonary Dysplasia Demonstrate Alterations in Cardiac Performance and Evidence of Pulmonary Vascular Disease. American Journal of Respiratory and Critical Care Medicine. 2025; 211(Abstracts):a7233-a7233.

Boghossian, NS; Mack, NA; Bell, EF; Tan, S; Stoll, BJ; Rysavy, MA; Ambalavanan, N; Tyson, JE; Das, A; Hintz, SR. Trends in sex differences in neurodevelopmental outcomes among extremely preterm infants. Archives of Disease in Childhood: Fetal and Neonatal Edition. 2025; 110(3):269-278.

Honan, BM; Mcdonald, SA; Travers, CP; Shukla, VV; Ambalavanan, N; Cotten, CM; Jain, VG; Arnold, HE; Parikh, NA; Tyson, JE; Hintz, SR; Walker, SA; Gantz, MG; Das, A; Carlo, WA. Cerebral injury and retinopathy as risk factors for blindness in extremely preterm infants. Archives of Disease in Childhood: Fetal and Neonatal Edition. 2025; 110(3):253-260.

Shankaran, S; Laptook, AR; Guimaraes, C; Murnick, J; Mcdonald, SA; Das, A; Petrie Huitema, CM; Pappas, A; Higgins, RD; Hintz, SR; Barks, J; Poindexter, BB; Truog, WE; D'angio, CT. NICHD Magnetic Resonance Brain Imaging Score in Term Infants With Hypoxic-Ischemic Encephalopathy: A Secondary Analysis of a Randomized Clinical Trial. JAMA pediatrics. 2025; 179(4):383-395.

Brumbaugh, JE; Bann, CM; Bell, EF; Travers, CP; Vohr, BR; Mcgowan, EC; Harmon, HM; Carlo, WA; Hintz, SR; Duncan, AF. The Relationship Between Hispanic Ethnicity and Outcomes for Infants Born Extremely Preterm. Journal of Pediatrics. 2025; 279:114474.

Jain, S; Fu, TT; Barnes-Davis, ME; Sahay, RD; Ehrlich, SR; Liu, C; Habli, M; Parikh, NA. Maternal Hypertension and Adverse Neurodevelopment in a Cohort of Preterm Infants. JAMA Network Open. 2025; 8(4):e257788.

Derbie, AY; Altaye, M; Wang, J; Allahverdy, A; He, L; Tamm, L; Parikh, NA. Early life brain network connectivity antecedents of executive function in children born preterm. Communications Biology. 2025; 8(1):345.

Ramaniharan, AK; Pednekar, A; Parikh, NA; Nagaraj, UD; Manhard, MK. A single 1-min brain MRI scan for generating multiple synthetic image contrasts in awake children from quantitative relaxometry maps. Pediatric Radiology. 2025; 55(2):312-323.

Tamm, L; Peugh, JL; Parikh, NA. Is temperament associated with academic school readiness in children born very preterm? Early Education and Development. 2025; 36(2):447-459.

He, L; Li, H; Parikh, NA. MRI and Artificial Intelligence for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants. In: Handbook of the Biology and Pathology of Mental Disorders. Springer Nature; 2025:1899-1922.

Joshi, A; Li, H; Parikh, NA; He, L. FODSeg: a deep learning framework for tract-specific white matter segmentation from full angular distributions. Frontiers in Neuroscience. 2025; 19:1734498.

Henkel, RD; Fu, TT; Barnes-Davis, ME; Sahay, RD; Liu, C; Hill, CD; Ehrlich, SR; Parikh, NA. Effects of Early Enteral to Parenteral Protein Ratios on Brain Volume and Somatic Growth in Very Low Birth Weight Infants. Journal of Pediatrics. 2024; 275:114253.

Wang, J; Li, H; Cecil, KM; Altaye, M; Parikh, NA; He, L. DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants. Computer Methods and Programs in Biomedicine. 2024; 257:108479.

Li, Z; Li, H; Ralescu, AL; Dillman, JR; Altaye, M; Cecil, KM; Parikh, NA; He, L. Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment. Artificial Intelligence in Medicine. 2024; 157:102993.

Jain, S; Barnes-Davis, ME; Fu, TT; Sahay, RD; Ehrlich, SR; Liu, C; Kline-Fath, B; Habli, M; Parikh, NA. Hypertensive Disorders of Pregnancy and Risk of Early Brain Abnormalities on Magnetic Resonance Imaging at Term among Infants Born at ≤32 Weeks' Gestational Age. Journal of Pediatrics. 2024; 273:114133.

Sharma, P; Kline-Fath, BM; Mukthapuram, S; Shapiro, RA; Parikh, NA. Association of enlarged extra-axial spaces and subdural hemorrhage in preterm infants at term-equivalent age. Emergency Radiology. 2024; 31(4):619-623.

Jain, VG; Parikh, NA; Rysavy, MA; Shukla, VV; Trotta, M; Jobe, A; Carlo, WA; Ambalavanan, N. Histological Chorioamnionitis Increases the Risk of Bronchopulmonary Dysplasia. American Journal of Respiratory and Critical Care Medicine. 2024; 209(10):1272-1275.

Tabacaru, C; Braimah, A; Kline-Fath, B; Parikh, N; Merhar, S. Diffusion Tensor Imaging to Predict Neurodevelopmental Impairment in Infants after Hypoxic-Ischemic Injury. American Journal of Perinatology. 2024; 41(S 01):e1740-e1746.

Li, H; Wang, J; Li, Z; Cecil, KM; Altaye, M; Dillman, JR; Parikh, NA; He, L. Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome. NeuroImage. 2024; 291:120579.

Mahabee-Gittens, EM; Priyanka Illapani, VS; Merhar, SL; Kline-Fath, B; Harun, N; He, L; Parikh, NA. Prenatal Opioid Exposure and Risk for Adverse Brain and Motor Outcomes in Infants Born Premature. Journal of Pediatrics. 2024; 267:113908.

Kojima, K; Kline, JE; Altaye, M; Kline-Fath, BM; Parikh, NA. Corpus Callosum Abnormalities at Term-Equivalent Age Are Associated with Language Development at 2 Years' Corrected Age in Infants Born Very Preterm. Journal of Pediatrics: Clinical Practice. 2024; 11:200101.

Tamm, L; Mcnally, KA; Altaye, M; Parikh, NA. Mathematics abilities associated with adaptive functioning in preschool children born preterm. Child Neuropsychology. 2024; 30(2):315-328.

Mahabee-Gittens, EM; Harun, N; Glover, M; Folger, AT; Parikh, NA. Prenatal tobacco smoke exposure and risk for cognitive delays in infants born very premature. Scientific Reports. 2024; 14(1):1397.

Fisher, AP; Miley, AE; Glazer, S; Gies, LM; Parikh, NA; Lam, L; Wade, SL. Feasibility and acceptability of an online parenting intervention to address behaviour problems in moderately to extremely preterm pre-school and school-age children. Child: Care, Health and Development. 2024; 50(1):e13209.

Joshi, A; Li, H; Parikh, NA; He, L. A systematic review of automated methods to perform white matter tract segmentation. Frontiers in Neuroscience. 2024; 18:1376570.

Barnes-Davis, ME; Williamson, BJ; Kline, JE; Kline-Fath, BM; Tkach, J; He, L; Yuan, W; Parikh, NA. Structural connectivity at term equivalent age and language in preterm children at 2 years corrected. Brain Communications. 2024; 6(2):fcae126.

He, L; Li, H; Parikh, NA. MRI and Artificial Intelligence for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants. In: Handbook of the Biology and Pathology of Mental Disorders. Springer Nature; 2024:1-24.

Li, Z; Li, H; Ralescu, AL; Dillman, JR; Altaye, M; Cecil, KM; Parikh, NA; He, L. Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment. . 2024; 157:102993-102993.

Glazer, S; Parikh, N; Yuan, W; Pedapati, E; Chiu, P; Wade, S. 28 A Graph Theoretical Approach to Understanding Associations between Structural Connectivity and Improvements in Behavior of Children Born Very Preterm Following a Positive Parenting Intervention. Journal of the International Neuropsychological Society. 2023; 29(s1):903-904.

Cuervo, S; Creaghead, N; Vannest, J; Hunter, L; Ionio, C; Altaye, M; Parikh, NA. Language Outcomes of Children Born Very Preterm in Relation to Early Maternal Depression and Anxiety. Brain Sciences. 2023; 13(10).

Fu, TT; Barnes-Davis, ME; Fujiwara, H; Folger, AT; Merhar, SL; Kadis, DS; Poindexter, BB; Parikh, NA. Correlation of NICU anthropometry in extremely preterm infants with brain development and language scores at early school age. Scientific Reports. 2023; 13(1):15273.

Patronick, J; Glazer, S; Sidol, C; Parikh, NA; Wade, SL. Parenting Interventions Targeting Behavior for Children Born Preterm or Low Birth Weight: A Systematic Review. Journal of Pediatric Psychology. 2023; 48(8):676-687.

Li, Z; Li, H; Ralescu, AL; Dillman, JR; Parikh, NA; He, L. A novel collaborative self-supervised learning method for radiomic data. NeuroImage. 2023; 277:120229.

Kojima, K; Liu, C; Ehrlich, S; Kline-Fath, BM; Jain, S; Parikh, NA. Early surgery in very preterm infants is associated with brain abnormalities on term MRI: a propensity score analysis. Journal of Perinatology. 2023; 43(7):877-883.

Wang, J; Li, H; Qu, G; Cecil, KM; Dillman, JR; Parikh, NA; He, L. Dynamic weighted hypergraph convolutional network for brain functional connectome analysis. Medical Image Analysis. 2023; 87:102828.

Li, H; Li, Z; Du, K; Zhu, Y; Parikh, NA; He, L. A Semi-Supervised Graph Convolutional Network for Early Prediction of Motor Abnormalities in Very Preterm Infants. Diagnostics. 2023; 13(8).

Mahabee-Gittens, EM; Kline-Fath, BM; Harun, N; Folger, AT; He, L; Parikh, NA. Prenatal tobacco smoke exposure and risk of brain abnormalities on magnetic resonance imaging at term in infants born very preterm. American Journal of Obstetrics and Gynecology MFM. 2023; 5(3):100856.

Li, Z; Li, H; Ralescu, AL; Dillman, JR; Parikh, NA; He, L. A Novel Collaborative Self-Supervised Learning Method for Radiomic Data. . 2023.

Kelly, KJ; Hutton, JS; Parikh, NA; Barnes-Davis, ME. Neuroimaging of brain connectivity related to reading outcomes in children born preterm: A critical narrative review. Frontiers in Pediatrics. 2023; 11:1083364.

Li, Z; Li, H; Ralescu, AL; Dillman, JR; Parikh, NA; He, L. A Novel Collaborative Self-Supervised Learning Method for Radiomic Data. . 2023; abs/2302.09807.

Hunter, LL; Vannest, J; Moore, DR; Barnes-Davis, M; Blankenship, C; Prather, L; Caldwell-Kurtzman, J; Parikh, N. Hearing, Speech, and Language in Infants and Toddlers Born Prematurely. Volta Review. 2023; 123(1):1-20.

Kline, JE; Dudley, J; Illapani, VSP; Li, H; Kline-Fath, B; Tkach, J; He, L; Yuan, W; Parikh, NA. Diffuse excessive high signal intensity in the preterm brain on advanced MRI represents widespread neuropathology. NeuroImage. 2022; 264:119727.

Brumbaugh, JE; Bell, EF; Do, BT; Greenberg, RG; Stoll, BJ; Demauro, SB; Harmon, HM; Hintz, SR; Das, A; Puopolo, KM. Incidence of and Neurodevelopmental Outcomes After Late-Onset Meningitis Among Children Born Extremely Preterm. JAMA Network Open. 2022; 5(12):e2245826.

Li, Z; Li, H; Braimah, A; Dillman, JR; Parikh, NA; He, L. A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants. NeuroImage. 2022; 260:119484.

Jain, VG; Kline, JE; He, L; Kline-Fath, BM; Altaye, M; Muglia, LJ; Defranco, EA; Ambalavanan, N; Parikh, NA. Acute histologic chorioamnionitis independently and directly increases the risk for brain abnormalities seen on magnetic resonance imaging in very preterm infants. American Journal of Obstetrics and Gynecology. 2022; 227(4):623.e1-623.e13.

Ali, R; Li, H; Dillman, JR; Altaye, M; Wang, H; Parikh, NA; He, L. A self-training deep neural network for early prediction of cognitive deficits in very preterm infants using brain functional connectome data. Pediatric Radiology. 2022; 52(11):2227-2240.

Illapani, VSP; Edmondson, DA; Cecil, KM; Altaye, M; Kumar, M; Harpster, K; Parikh, NA. Magnetic resonance spectroscopy brain metabolites at term and 3-year neurodevelopmental outcomes in very preterm infants. Pediatric Research. 2022; 92(1):299-306.

Travers, CP; Hansen, NI; Das, A; Rysavy, MA; Bell, EF; Ambalavanan, N; Peralta-Carcelen, M; Tita, AT; Van Meurs, KP; Carlo, WA. Potential missed opportunities for antenatal corticosteroid exposure and outcomes among periviable births: observational cohort study. BJOG: An International Journal of Obstetrics and Gynaecology. 2022.

Chen, M; Li, H; Fan, H; Dillman, JR; Wang, H; Altaye, M; Zhang, B; Parikh, NA; He, L. ConCeptCNN: A novel multi-filter convolutional neural network for the prediction of neurodevelopmental disorders using brain connectome. Medical Physics. 2022; 49(5):3171-3184.

Weber, AM; Jackson, YC; Elder, MR; Remer, SL; Parikh, NA; Hofherr, JJ; Voos, KC; Kaplan, HC. Application of a Risk Management Framework to Parent Sleep During Skin-to-Skin Care in the NICU. JOGNN - Journal of Obstetric, Gynecologic, and Neonatal Nursing. 2022; 51(3):336-348.

Zhang, H; Li, H; Dillman, JR; Parikh, NA; He, L. Multi-Contrast MRI Image Synthesis Using Switchable Cycle-Consistent Generative Adversarial Networks. Diagnostics. 2022; 12(4).

Chandwani, R; Harpster, K; Kline, JE; Mehta, V; Wang, H; Merhar, SL; Schwartz, TL; Parikh, NA. Brain microstructural antecedents of visual difficulties in infants born very preterm. NeuroImage: Clinical. 2022; 34:102987.

Barnes-Davis, ME; Williamson, BJ; Merhar, SL; Nagaraj, UD; Parikh, NA; Kadis, DS. Extracallosal Structural Connectivity Is Positively Associated With Language Performance in Well-Performing Children Born Extremely Preterm. Frontiers in Pediatrics. 2022; 10:821121.

Li, Z; Li, H; Braimah, A; Dillman, JR; Parikh, NA; He, L. A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants. NeuroImage. 2022; 260:119484-119484.

Li, Z; Li, H; Braimah, A; Dillman, JR; Parikh, NA; He, L. A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants. . 2022; abs/2202.04134.