Hummel T, Whitcroft KL, Andrews P, Altundag A, Cinghi C, Costanzo RM, et al. Position paper on olfactory dysfunction. Rhinology. 2016;56(1):1–30.

CAS  PubMed  Google Scholar 

Whitcroft KL, Altundag A, Balungwe P, Boscolo-Rizzo P, Douglas R, Enecilla MLB, et al. Position paper on olfactory dysfunction: 2023. Rhinology. 2023. https://doi.org/10.4193/Rhin22.483.

Article  PubMed  Google Scholar 

Leopold D. Distortion of olfactory perception: diagnosis and treatment. Chem Senses. 2002;27(7):611–5.

Article  PubMed  Google Scholar 

Croy I, Nordin S, Hummel T. Olfactory disorders and quality of life–an updated review. Chem Senses. 2014;39(3):185–94.

Article  PubMed  Google Scholar 

Croy I, Landis BN, Meusel T, Seo HS, Krone F, Hummel T. Patient adjustment to reduced olfactory function. Arch Otolaryngol Head Neck Surg. 2011;137(4):377–82.

Article  PubMed  Google Scholar 

Landis BN, Frasnelli J, Croy I, Hummel T. Evaluating the clinical usefulness of structured questions in parosmia assessment. Laryngoscope. 2010;120(8):1707–13.

Article  PubMed  Google Scholar 

Assessment of Olfaction and Gustation. 2014th ed. Management of Smell and Taste Disorders. Thieme Verlag; 2014 [cited 2023 Aug 21]. https://www.thieme-connect.de/products/ebooks/lookinside/https://doi.org/10.1055/b-0034-91133#

Murai A, Iwata R, Fujimoto S, Aihara S, Tsuboi A, Muroyama Y, et al. Distorted coarse axon targeting and reduced dendrite connectivity underlie dysosmia after olfactory axon injury. eNeuro. 2016. https://doi.org/10.1523/ENEURO.0242-16.2016.

Article  PubMed  PubMed Central  Google Scholar 

Landis BN, Frasnelli J, Hummel T. Euosmia: a rare form of parosmia. Acta Otolaryngol. 2006;126(1):101–3.

Article  CAS  PubMed  Google Scholar 

Leopold DA, Schwob JE, Youngentob SL, Hornung DE, Wright HN, Mozell MM. Successful treatment of phantosmia with preservation of olfaction. Arch Otolaryngol Head Neck Surg. 1991;117(12):1402–6.

Article  CAS  PubMed  Google Scholar 

Iannilli E, Leopold DA, Hornung DE, Hummel T. Advances in understanding parosmia: an fMRI study. ORL. 2019;81(4):185–92.

Article  PubMed  Google Scholar 

Parker JK, Kelly CE, Smith BC, Kirkwood AF, Hopkins C, Gane S. Patients’ perspectives on qualitative olfactory dysfunction: thematic analysis of social media posts. JMIR Form Res. 2021;5(12):e29086.

Article  PubMed  PubMed Central  Google Scholar 

Burges Watson DL, Campbell M, Hopkins C, Smith B, Kelly C, Deary V. Altered smell and taste: Anosmia, parosmia and the impact of long Covid-19. PLoS ONE. 2021;16(9): e0256998.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Pellegrino R, Mainland JD, Kelly CE, Parker JK, Hummel T. Prevalence and correlates of parosmia and phantosmia among smell disorders. Chem Senses. 2021;46:bjab046.

Article  PubMed  PubMed Central  Google Scholar 

Glover GH. Overview of functional magnetic resonance imaging. Neurosurg Clin N Am. 2011;22(2):133–9.

Article  PubMed  PubMed Central  Google Scholar 

Lv H, Wang Z, Tong E, Williams LM, Zaharchuk G, Zeineh M, et al. Resting-state functional mri: everything that nonexperts have always wanted to know. AJNR Am J Neuroradiol. 2018;39(8):1390–9.

CAS  PubMed  PubMed Central  Google Scholar 

van den Heuvel MP, Hulshoff Pol HE. Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol. 2010;20(8):519–34.

Article  PubMed  Google Scholar 

Beckers AB, Drenthen GS, Jansen JFA, Backes WH, Poser BA, Keszthelyi D. Comparing the efficacy of data-driven denoising methods for a multi-echo fMRI acquisition at 7T. Neuroimage. 2023;15(280):120361.

Article  Google Scholar 

Scheel N, Keller JN, Binder EF, Vidoni ED, Burns JM, Thomas BP, et al. Evaluation of noise regression techniques in resting-state fMRI studies using data of 434 older adults. Front Neurosci. 2022;16:1006056.

Article  PubMed  PubMed Central  Google Scholar 

Woolrich MW, Behrens TEJ, Beckmann CF, Jenkinson M, Smith SM. Multilevel linear modelling for FMRI group analysis using Bayesian inference. Neuroimage. 2004;21(4):1732–47.

Article  PubMed  Google Scholar 

Park M, Chung J, Kim JK, Jeong Y, Moon WJ. Altered functional brain networks in patients with traumatic anosmia: resting-state functional mri based on graph theoretical analysis. Korean J Radiol. 2019;20(11):1536–45.

Article  PubMed  PubMed Central  Google Scholar 

Thunell E, Peter MG, Lenoir V, Andersson P, Landis BN, Becker M, et al. Effects of COVID-19 on the human central olfactory system: a natural pre-post experiment. AJNR Am J Neuroradiol. 2022. https://doi.org/10.3174/ajnr.A7713.

Article  PubMed  Google Scholar 

Oleszkiewicz A, Schriever VA, Croy I, Hähner A, Hummel T. Updated Sniffin’ Sticks normative data based on an extended sample of 9139 subjects. Eur Arch Otorhinolaryngol. 2019;276(3):719–28.

Article  CAS  PubMed  Google Scholar 

Croy I, Hummel T. Olfaction as a marker for depression. J Neurol. 2017;264(4):631–8.

Article  CAS  PubMed  Google Scholar 

Weir EM, Hannum ME, Reed DR, Joseph PV, Munger SD, Hayes JE, et al. The adaptive olfactory measure of threshold (ArOMa-T): a rapid test of olfactory function. Chem Senses. 2022;47:036.

Article  Google Scholar 

Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich MW, Smith SM. FSL. Neuroimage. 2012;62(2):782–90.

Article  PubMed  Google Scholar 

Woolrich MW, Ripley BD, Brady M, Smith SM. Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage. 2001;14(6):1370–86.

Article  CAS  PubMed  Google Scholar 

Parker DB, Razlighi QR. The benefit of slice timing correction in common fMRI preprocessing pipelines. Frontiers Neurosci. 2019. https://doi.org/10.3389/fnins.2019.00821.

Article  Google Scholar 

Pruim RHR, Mennes M, van Rooij D, Llera A, Buitelaar JK, Beckmann CF. ICA-AROMA: a robust ICA-based strategy for removing motion artifacts from fMRI data. Neuroimage. 2015;15(112):267–77.

Article  Google Scholar 

Beckmann CF, Smith SM. Tensorial extensions of independent component analysis for multisubject FMRI analysis. Neuroimage. 2005;25(1):294–311.

Article  CAS  PubMed  Google Scholar 

Nickerson LD, Smith SM, Öngür D, Beckmann CF. Using dual regression to investigate network shape and amplitude in functional connectivity analyses. Front Neurosci. 2017. https://doi.org/10.3389/fnins.2017.00115.

Article  PubMed  PubMed Central  Google Scholar 

Thaploo D, Georgiopoulos C, Haehner A, Hummel T. Subtle differences in brain architecture in patients with congenital anosmia. Brain Topogr. 2022;35(3):337–40.

Article  PubMed  PubMed Central  Google Scholar 

Worsley KJ. Statistical analysis of activation images. In: Jezzard P, Matthews PM, Smith SM, editors. Functional Magnetic Resonance Imaging: An Introduction to Methods. Oxford: Oxford University Press; 2001.

Google Scholar 

Storti SF, Formaggio E, Nordio R, Manganotti P, Fiaschi A, Bertoldo A, et al. Automatic selection of resting-state networks with functional magnetic resonance imaging. Front Neurosci. 2013;20(7):72.

Google Scholar 

Garcia-Falgueras A, Junque C, Giménez M, Caldú X, Segovia S, Guillamon A. Sex differences in the human olfactory system. Brain Res. 2006;1116(1):103–11.

Article  CAS  PubMed  Google Scholar 

Smallwood J, Bernhardt BC, Leech R, Bzdok D, Jefferies E, Margulies DS. The default mode network in cognition: a topographical perspective. Nat Rev Neurosci. 2021;22(8):503–13.

Article  CAS  PubMed  Google Scholar 

Seeley WW, Menon V, Schatzberg AF, Keller J, Glover GH, Kenna H, et al. Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci. 2007;27(9):2349–56.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Huang L, Huang G, Ding Q, Liang P, Hu C, Zhang H, et al. Amplitude of low-frequency fluctuation (ALFF) alterations in adults with subthreshold depression after physical exercise: a resting-state fMRI study. J Affect Disord. 2021;1(295):1057–65.

Article  Google Scholar 

Pannekoek JN, Veer IM, van Tol MJ, van der Werff SJA, Demenescu LR, Aleman A, et al. Resting-state functional connectivity abnormalities in limbic and salience networks in social anxiety disorder without comorbidity. Eur Neuropsychopharmacol. 2013;23(3):186–95.

Article  CAS  PubMed  Google Scholar 

Liu C, Wang Y, Sun X, Wang Y, Fang F. Decoding six basic emotions from brain functional connectivity patterns. Sci China Life Sci. 2022. https://doi.org/10.1007/s11427-022-2206-3.

Article  PubMed  PubMed Central