Kiyosaki K, Chang KW (2018) Diagnosis and management of congenital sensorineural hearing loss. Curr Treat Options Pediatr 4:174–182. https://doi.org/10.1007/s40746-018-0119-y
Kvestad E, Lie KK, Eskild A, Engdahl B (2014) Sensorineural hearing loss in children: the association with Apgar score. A registry-based study of 392371 children in Norway. Int J Pediatr Otorhinolaryngol 78:1940–1944. https://doi.org/10.1016/j.ijporl.2014.08.032
Lieu JEC, Kenna M, Anne S, Davidson L (2020) Hearing loss in children. JAMA 324:2195. https://doi.org/10.1001/jama.2020.17647
Sharma A, Campbell J (2011) A sensitive period for cochlear implantation in deaf children. J Matern Neonatal Med 24:151–153. https://doi.org/10.3109/14767058.2011.607614
Sharma A, Campbell J, Cardon G (2015) Developmental and cross-modal plasticity in deafness: evidence from the P1 and N1 event related potentials in cochlear implanted children. Int J Psychophysiol 95:135–144
Kral A, Sharma A (2012) Developmental neuroplasticity after cochlear implantation. Trends Neurosci 35:111–122. https://doi.org/10.1016/j.tins.2011.09.004
Article CAS PubMed Google Scholar
Lebel C, Deoni S (2018) The development of brain white matter microstructure. Neuroimage 182:207–218. https://doi.org/10.1016/j.neuroimage.2017.12.097
Kral A (2013) Auditory critical periods: a review from system’s perspective. Neuroscience 247:117–133. https://doi.org/10.1016/j.neuroscience.2013.05.021
Article CAS PubMed Google Scholar
Kral A, O’Donoghue GM (2010) Profound deafness in childhood. N Engl J Med 363:1438–1450. https://doi.org/10.1056/NEJMra0911225
Article CAS PubMed Google Scholar
Feng G, Ingvalson EM, Grieco-Calub TM et al (2018) Neural preservation underlies speech improvement from auditory deprivation in young cochlear implant recipients. Proc Natl Acad Sci U S A 115:E1022–E1031. https://doi.org/10.1073/pnas.1717603115
Article CAS PubMed PubMed Central Google Scholar
Wang S, Chen B, Yu Y et al (2019) Alterations of structural and functional connectivity in profound sensorineural hearing loss infants within an early sensitive period: a combined DTI and fMRI study. Dev Cogn Neurosci 38:100654. https://doi.org/10.1016/j.dcn.2019.100654
Article PubMed PubMed Central Google Scholar
Wang S, Chen B, Yu Y et al (2021) Altered resting-state functional network connectivity in profound sensorineural hearing loss infants within an early sensitive period: a group ICA study. Hum Brain Mapp 42:4314–4326. https://doi.org/10.1002/hbm.25548
Article PubMed PubMed Central Google Scholar
Biswal B, Yetkin FZ, Haughton VM, Hyde JS (1995) Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med 34:537–541. https://doi.org/10.1002/mrm.1910340409
Article CAS PubMed Google Scholar
Friston KJ (2011) Functional and effective connectivity: a review. Brain Connect 1:13–36. https://doi.org/10.1089/brain.2011.0008
Allen EA, Damaraju E, Plis SM et al (2014) Tracking whole-brain connectivity dynamics in the resting state. Cereb Cortex 24:663–676. https://doi.org/10.1093/cercor/bhs352
Calhoun VD, Miller R, Pearlson G, Adali T (2014) The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron 84:262–274. https://doi.org/10.1016/j.neuron.2014.10.015
Article CAS PubMed PubMed Central Google Scholar
Hutchison RM, Womelsdorf T, Gati JS et al (2013) Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques. Hum Brain Mapp 34:2154–2177. https://doi.org/10.1002/hbm.22058
Ramkiran S, Veselinović T, Dammers J et al (2023) How brain networks tic: predicting tic severity through rs-fMRI dynamics in Tourette syndrome. Hum Brain Mapp 44:4225–4238. https://doi.org/10.1002/hbm.26341
Article PubMed PubMed Central Google Scholar
Wu X, He H, Shi L et al (2019) Personality traits are related with dynamic functional connectivity in major depression disorder: a resting-state analysis. J Affect Disord 245:1032–1042. https://doi.org/10.1016/j.jad.2018.11.002
Faghiri A, Stephen JM, Wang Y et al (2018) Changing brain connectivity dynamics: from early childhood to adulthood. Hum Brain Mapp 39:1108–1117. https://doi.org/10.1002/hbm.23896
Chang C, Glover GH (2010) Time-frequency dynamics of resting-state brain connectivity measured with fMRI. Neuroimage 50:81–98. https://doi.org/10.1016/j.neuroimage.2009.12.011
Marusak HA, Calhoun VD, Brown S et al (2017) Dynamic functional connectivity of neurocognitive networks in children. Hum Brain Mapp 38:97–108. https://doi.org/10.1002/hbm.23346
Du Y, Pearlson GD, Yu Q et al (2016) Interaction among subsystems within default mode network diminished in schizophrenia patients: a dynamic connectivity approach. Schizophr Res 170:55–65. https://doi.org/10.1016/j.schres.2015.11.021
Damaraju E, Allen EA, Belger A et al (2014) Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage Clin 5:298–308. https://doi.org/10.1016/j.nicl.2014.07.003
Article CAS PubMed PubMed Central Google Scholar
Fu Z, Tu Y, Di X et al (2018) Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: an application to schizophrenia. Neuroimage 180:619–631. https://doi.org/10.1016/j.neuroimage.2017.09.035
Liu F, Wang Y, Li M et al (2017) Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic–clonic seizure. Hum Brain Mapp 38:957–973. https://doi.org/10.1002/hbm.23430
Yao Z, Shi J, Zhang Z et al (2019) Altered dynamic functional connectivity in weakly-connected state in major depressive disorder. Clin Neurophysiol 130:2096–2104. https://doi.org/10.1016/j.clinph.2019.08.009
Sendi MSE, Zendehrouh E, Ellis CA et al (2023) The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer’s disease. NeuroImage Clin 37:103363. https://doi.org/10.1016/j.nicl.2023.103363
Article PubMed PubMed Central Google Scholar
Fiorenzato E, Strafella AP, Kim J et al (2019) Dynamic functional connectivity changes associated with dementia in Parkinson’s disease. Brain 142:2860–2872. https://doi.org/10.1093/brain/awz192
Article PubMed PubMed Central Google Scholar
Kim J, Criaud M, Cho SS et al (2017) Abnormal intrinsic brain functional network dynamics in Parkinson’s disease. Brain 140:2955–2967. https://doi.org/10.1093/brain/awx233
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