Hakim S, Adams RD. The special clinical problem of symptomatic hydrocephalus with normal cerebrospinal fluid pressure. Observations on cerebrospinal fluid hydrodynamics. J Neurol Sci. 1965;2:307–27.

Article  CAS  PubMed  Google Scholar 

Williams MA, Malm J. Diagnosis and treatment of idiopathic normal pressure hydrocephalus. Continuum (Minneap Minn). 2016;22:579–99.

PubMed  Google Scholar 

Nakajima M, Yamada S, Miyajima M, Ishii K, Kuriyama N, Kazui H, Kanemoto H, Suehiro T, Yoshiyama K, Kameda M, Kajimoto Y, Mase M, Murai H, Kita D, Kimura T, Samejima N, Tokuda T, Kaijima M, Akiba C, Kawamura K, Atsuchi M, Hirata Y, Matsumae M, Sasaki M, Yamashita F, Aoki S, Irie R, Miyake H, Kato T, Mori E, Ishikawa M, Date I, Arai H, Research Committee of Idiopathic Normal Pressure H. Guidelines for management of idiopathic normal pressure hydrocephalus (Third Edition): endorsed by the Japanese society of normal pressure hydrocephalus. Neurol Med Chir (Tokyo). 2021;61:63–97.

Article  PubMed  Google Scholar 

Hashimoto M, Ishikawa M, Mori E, Kuwana N, Study of Ioni. Diagnosis of idiopathic normal pressure hydrocephalus is supported by MRI-based scheme: a prospective cohort study. Cerebrospinal Fluid Res. 2010;7:18.

Article  PubMed  PubMed Central  Google Scholar 

Ishii K, Kanda T, Harada A, Miyamoto N, Kawaguchi T, Shimada K, Ohkawa S, Uemura T, Yoshikawa T, Mori E. Clinical impact of the callosal angle in the diagnosis of idiopathic normal pressure hydrocephalus. Eur Radiol. 2008;18:2678–83.

Article  PubMed  Google Scholar 

Ishii K, Kawaguchi T, Shimada K, Ohkawa S, Miyamoto N, Kanda T, Uemura T, Yoshikawa T, Mori E. Voxel-based analysis of gray matter and CSF space in idiopathic normal pressure hydrocephalus. Dement Geriatr Cogn Disord. 2008;25:329–35.

Article  PubMed  Google Scholar 

Kitagaki H, Mori E, Ishii K, Yamaji S, Hirono N, Imamura T. CSF spaces in idiopathic normal pressure hydrocephalus: morphology and volumetry. AJNR Am J Neuroradiol. 1998;19:1277–84.

CAS  PubMed  PubMed Central  Google Scholar 

Graff-Radford NR, Jones DT. Normal pressure hydrocephalus. Continuum (Minneap Minn). 2019;25:165–86.

PubMed  Google Scholar 

Mattoli MV, Treglia G, Calcagni ML, Mangiola A, Anile C, Trevisi G. Usefulness of brain positron emission tomography with different tracers in the evaluation of patients with idiopathic normal pressure hydrocephalous. Int J Mol Sci. 2020;21:6523.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Townley RA, Botha H, Graff-Radford J, Boeve BF, Petersen RC, Senjem ML, Knopman DS, Lowe V, Jack CR Jr, Jones DT. (18)F-FDG PET-CT pattern in idiopathic normal pressure hydrocephalus. Neuroimage Clin. 2018;18:897–902.

Article  PubMed  PubMed Central  Google Scholar 

Ohmichi T, Kondo M, Itsukage M, Koizumi H, Matsushima S, Kuriyama N, Ishii K, Mori E, Yamada K, Mizuno T, Tokuda T. Usefulness of the convexity apparent hyperperfusion sign in 123I-iodoamphetamine brain perfusion SPECT for the diagnosis of idiopathic normal pressure hydrocephalus. J Neurosurg. 2018;130:398–405.

Article  PubMed  Google Scholar 

Niethammer M, Tang CC, Feigin A, Allen PJ, Heinen L, Hellwig S, Amtage F, Hanspal E, Vonsattel JP, Poston KL, Meyer PT, Leenders KL, Eidelberg D. A disease-specific metabolic brain network associated with corticobasal degeneration. Brain. 2014;137:3036–46.

Article  PubMed  PubMed Central  Google Scholar 

Spetsieris PG, Eidelberg D. Spectral guided sparse inverse covariance estimation of metabolic networks in Parkinson’s disease. Neuroimage. 2021;226:117568.

Article  CAS  PubMed  Google Scholar 

Tang CC, Poston KL, Eckert T, Feigin A, Frucht S, Gudesblatt M, Dhawan V, Lesser M, Vonsattel JP, Fahn S, Eidelberg D. Differential diagnosis of parkinsonism: a metabolic imaging study using pattern analysis. Lancet Neurol. 2010;9:149–58.

Article  PubMed  PubMed Central  Google Scholar 

Blazhenets G, Ma Y, Sorensen A, Rucker G, Schiller F, Eidelberg D, Frings L, Meyer PT, Alzheimer’s Disease Neuroimaging I. Principal components analysis of brain metabolism predicts development of Alzheimer dementia. J Nucl Med. 2019;60:837–43.

Article  CAS  PubMed  Google Scholar 

Nazem A, Tang CC, Spetsieris P, Dresel C, Gordon ML, Diehl-Schmid J, Grimmer T, Yakushev I, Mattis PJ, Ma Y, Dhawan V, Eidelberg D. A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia. Alzheimers Dement (Amst). 2018;10:583–94.

Article  PubMed  Google Scholar 

Hosp JA, Dressing A, Blazhenets G, Bormann T, Rau A, Schwabenland M, Thurow J, Wagner D, Waller C, Niesen WD, Frings L, Urbach H, Prinz M, Weiller C, Schroeter N, Meyer PT. Cognitive impairment and altered cerebral glucose metabolism in the subacute stage of COVID-19. Brain. 2021;144:1263–76.

Article  PubMed  Google Scholar 

McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR Jr, Kawas CH, Klunk WE, Koroshetz WJ, Manly JJ, Mayeux R, Mohs RC, Morris JC, Rossor MN, Scheltens P, Carrillo MC, Thies B, Weintraub S, Phelps CH. The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011;7:263–9.

Article  PubMed  PubMed Central  Google Scholar 

Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, Obeso J, Marek K, Litvan I, Lang AE, Halliday G, Goetz CG, Gasser T, Dubois B, Chan P, Bloem BR, Adler CH, Deuschl G. MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord. 2015;30:1591–601.

Article  PubMed  Google Scholar 

Rau A, Kim S, Yang S, Reisert M, Kellner E, Duman IE, Stieltjes B, Hohenhaus M, Beck J, Urbach H, Egger K. SVM-based normal pressure hydrocephalus detection. Clin Neuroradiol. 2021;31:1029–35.

Article  PubMed  PubMed Central  Google Scholar 

Baumgartner A, Frings L, Schiller F, Stich O, Mix M, Egger K, Schluh G, Rauer S, Meyer PT. Regional neuronal activity in patients with relapsing remitting multiple sclerosis. Acta Neurol Scand. 2018;138:466–74.

Article  CAS  PubMed  Google Scholar 

Speck I, Arndt S, Thurow J, Blazhenets G, Aschendorff A, Meyer PT, Frings L. (18)F-FDG PET imaging of the inferior colliculus in asymmetric hearing loss. J Nucl Med. 2020;61:418–22.

Article  CAS  PubMed  Google Scholar 

Spetsieris P, Ma Y, Peng S, Ko JH, Dhawan V, Tang CC, Eidelberg D. Identification of disease-related spatial covariance patterns using neuroimaging data. J Vis Exp. 2013;(76):e50319. https://doi.org/10.3791/50319.

Eidelberg D. Metabolic brain networks in neurodegenerative disorders: a functional imaging approach. Trends Neurosci. 2009;32:548–57.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Spetsieris PG, Eidelberg D. Scaled subprofile modeling of resting state imaging data in Parkinson’s disease: methodological issues. Neuroimage. 2011;54:2899–914.

Article  PubMed  Google Scholar 

Pozzi NG, Brumberg J, Todisco M, Minafra B, Zangaglia R, Bossert I, Trifiro G, Ceravolo R, Vitali P, Isaias IU, Fasano A, Pacchetti C. Striatal dopamine deficit and motor impairment in idiopathic normal pressure hydrocephalus. Mov Disord. 2021;36:124–32.

Article  CAS  PubMed  Google Scholar 

Calcagni ML, Taralli S, Mangiola A, Indovina L, Lavalle M, De Bonis P, Anile C, Giordano A. Regional cerebral metabolic rate of glucose evaluation and clinical assessment in patients with idiopathic normal-pressure hydrocephalus before and after ventricular shunt placement: a prospective analysis. Clin Nucl Med. 2013;38:426–31.

Article  PubMed  Google Scholar 

Tedeschi E, Hasselbalch SG, Waldemar G, Juhler M, Hogh P, Holm S, Garde L, Knudsen LL, Klinken L, Gjerris F, et al. Heterogeneous cerebral glucose metabolism in normal pressure hydrocephalus. J Neurol Neurosurg Psychiatry. 1995;59:608–15.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Miyazaki K, Hanaoka K, Kaida H, Chiba Y, Ishii K. Changes in cerebral glucose metabolism caused by morphologic features of prodromal idiopathic normal pressure hydrocephalus. EJNMMI Res. 2019;9:111.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Narita W, Nishio Y, Baba T, Iizuka O, Ishihara T, Matsuda M, Iwasaki M, Tominaga T, Mori E. High-convexity tightness predicts the shunt response in idiopathic normal pressure hydrocephalus. AJNR Am J Neuroradiol. 2016;37:1831–7.

Article  CAS  PubMed  PubMed Central  Google Scholar