Cited by 31Pituitary Gland Disorders and TreatmentsAdvanced Neuroimaging Techniques and ApplicationsNeuroendocrine regulation and behavior

Microstructural white matter alterations and hippocampal volumes are associated with cognitive deficits in craniopharyngioma

Open access
Fjalldal, S, Follin, C, Svärd, D, Rylander, L, Gabery, S, Petersén, Å, van Westen, D, Sundgren, P C +5 more·2018·European Journal of Endocrinology

Abstract

Context: Patients with craniopharyngioma (CP) and hypothalamic lesions (HL) have cognitive deficits. Which neural pathways are affected is unknown. Objective: To determine whether there is a relationship between microstructural white matter (WM) alterations detected with diffusion tensor imaging (DTI) and cognition in adults with childhood-onset CP. Design: A cross-sectional study with a median follow-up time of 22 (6–49) years after operation. Setting: The South Medical Region of Sweden (2.5 million inhabitants). Participants: Included were 41 patients (24 women, ≥17 years) surgically treated for childhood-onset CP between 1958–2010 and 32 controls with similar age and gender distributions. HL was found in 23 patients. Main outcome measures: Subjects performed cognitive tests and magnetic resonance imaging, and images were analyzed using DTI of uncinate fasciculus, fornix, cingulum, hippocampus and hypothalamus as well as hippocampal volumetry. Results: Right uncinate fasciculus was significantly altered (P ≤ 0.01). Microstructural WM alterations in left ventral cingulum were significantly associated with worse performance in visual episodic memory, explaining approximately 50% of the variation. Alterations in dorsal cingulum were associated with worse performance in immediate, delayed recall and recognition, explaining 26–38% of the variation, and with visuospatial ability and executive function, explaining 19–29%. Patients who had smaller hippocampal volume had worse general knowledge (P = 0.028), and microstructural WM alterations in hippocampus were associated with a decline in general knowledge and episodic visual memory. Conclusions: A structure to function relationship is suggested between microstructural WM alterations in cingulum and in hippocampus with cognitive deficits in CP.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1530/eje-18-0081

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Individuals with craniopharyngioma have impaired episodic memory and slowed processing speeds that are associated with changes in hippocampal volumes and white matter alterations on brain imaging.

    “Individuals with craniopharyngioma have impaired episodic memory and slowed processing speeds that are associated with changes in hippocampal volumes and white matter alterations on brain imaging (87).”

    From Approach to the patient with acquired hypothalamic syndrome (2026) · cites this paper as [87]

    The Discussion links hippocampal volume and white-matter alterations to poorer episodic visual memory and links cingulum alterations to processing speed. However, the Results report no significant cognitive-test differences between the whole craniopharyngioma group and controls; the reported memory and processing-speed differences were in the subgroup with hypothalamic lesions. The claim overgeneralizes those impairments to all individuals with craniopharyngioma. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 41

  1. [1]Müller HL Gebhardt U Teske C Faldum A Zwiener I Warmuth-Metz M Pietsch T Pohl F Sörensen N Calaminus G et al Post-operative hypothalamic lesions and obesity in childhood craniopharyngioma: results of the multinational prospective trial KRANIOPHARYNGEOM 2000 after 3-year follow-up. 2011 European Journal of Endocrinology 2011 165 17– 24. 21490122
  2. [2]Bülow B Attewell R Hagmar L Malmström P Nordström CH Erfurth EM. Postoperative prognosis in craniopharyngioma with respect to cardiovascular mortality, survival, and tumor recurrence. Journal of Clinical Endocrinology and Metabolism 1998 83 3897– 3904. 9814465
  3. [3]Tomlinson JW Holden N Hills RK Wheatley K Clayton RN Bates AS Sheppard MC Stewart PM. Association between premature mortality and hypopituitarism. West Midlands Prospective Hypopituitary Study Group. Lancet 2001 357 425– 431. (10.1016/S0140-6736(00)04006-X) 11273062 · DOI · Paper page
  4. [4]Olsson DS Andersson E Bryngelsson IL Nilsson AG Johannsson G. Excess mortality and morbidity in patients with craniopharyngioma, especially in patients with childhood onset: a population-based study in Sweden. Journal of Clinical Endocrinology and Metabolism 2015 100 467– 474. (10.1210/jc.2014-3525) 25375987 · DOI
  5. [5]Pereira AM Schmid EM Schutte PJ Voormolen JH Biermasz NR van Thiel SW Corssmit EP Smit JW Roelfsema F Romijn JA. High prevalence of long-term cardiovascular, neurological and psychosocial morbidity after treatment for craniopharyngioma. Clinical Endocrinology 2005 62 197– 204. 15670196
  6. [6]Holmer H Ekman B Björk J Nordstöm CH Popovic V Siversson A Erfurth EM. Hypothalamic involvement predicts cardiovascular risk in adults with childhood onset craniopharyngioma on long-term GH therapy. European Journal of Endocrinology 2009 161 671– 679. (10.1530/EJE-09-0449) 19667040 · DOI
  7. [7]Fjalldal S Holmer H Rylander L Elfving M Ekman B Osterberg K Erfurth EM. Hypothalamic involvement predicts cognitive performance and psychosocial health in long-term survivors of childhood craniopharyngioma. Journal of Clinical Endocrinology and Metabolism 2013 98 3253– 3262. (10.1210/jc.2013-2000) 23771923 · DOI
  8. [8]Özyurt J Müller HL Thiel CM. A systematic review of cognitive performance in patients with childhood craniopharyngioma. Journal of Neurooncology 2015 125 9– 21. 26369768
  9. [9]Özyurt J Thiel CM Lorenzen A Gebhardt U Calaminus G Warmuth-Metz M Müller HL. Neuropsychological outcome in patients with childhood craniopharyngioma and hypothalamic involvement. Journal of Pediatrics 2014 164 876– 881. 24507865
  10. [10]Metzler-Baddeley C Jones DK Belaroussi B Aggleton JP O’Sullivan MJ. Frontotemporal connections in episodic memory and aging: a diffusion MRI tractography study. Journal of Neuroscience 2011 31 236– 245. PMC6623273 21917806
  11. [11]Johansen-Berg H Rushworth MF. Using diffusion imaging to study human connectional anatomy. Annual Review of Neuroscience 2009 32 75– 94. (10.1146/annurev.neuro.051508.135735) 19400718 · DOI
  12. [12]Pierpaoli C Jezzard P Basser PJ Barnett A Di Chiro G. Diffusion tensor MR imaging of the human brain. Radiology 1996 201 637– 648. (10.1148/radiology.201.3.8939209) 8939209 · DOI · Paper page
  13. [13]Le Bihan D. Looking into the functional architecture of the brain with diffusion MRI. National Review of Neuroscience 2003 4 469– 80. (10.1038/nrn1119) 12778119 · DOI · Paper page
  14. [14]Alexander AL Lee JE Lazar M Field AS. Diffusion tensor imaging of the brain. Neurotherapeutics 2007 4 316– 329. (10.1016/j.nurt.2007.05.011) 17599699 PMC2041910 · DOI · Paper page
  15. [15]Lemaire JJ Frew AJ McArthur D Gorgulho AA Alger JR, Salomon N Chen C Behnke EJ De Salles AA. White matter connectivity of human hypothalamus. Brain Research 2011 1371 43– 64. (10.1016/j.brainres.2010.11.072) 21122799 · DOI
  16. [16]Aggleton JP. Multiple anatomical systems embedded within the primate medial temporal lobe: implications for hippocampal function. Neuroscience Biobehaviour Review 2012 36 1579– 1596. (10.1016/j.neubiorev.2011.09.005) 21964564 · DOI
  17. [17]Preston AR Eichenbaum H. Interplay of hippocampus and prefrontal cortex in memory. Current Biology 2013 23 764– 773. (10.1016/j.cub.2013.05.041) 24028960 PMC3789138 · DOI · Paper page
  18. [18]Özyurt J Lorenzen A Gebhardt U Warmuth-Metz M Müller HL Thiel CM. Remote effects of hypothalamic lesions in the prefrontal cortex of craniopharygioma patients. Neurobiology Learning Memory 2014 111 71– 80. 24662774
  19. [19]Özyurt J Müller HL Warmuth-Metz M Thiel CM. Hypothalamic tumors impact gray and white matter volumes in fronto-limbic brain areas. Cortex 2017 89 98– 110. 28259055
  20. [20]Uh J Merchant TE Li Y Li X Sabin ND Indelicato DJ Ogg RJ Boop FA Jane JA Jr Hua C. Effects of surgery and proton therapy on cerebral white matter of craniopharyngioma patients. International Journal Radiation Oncology Biology Physiology 2015 93 64– 71. (10.1016/j.ijrobp.2015.05.017) PMC5144582 26279025 · DOI
  21. [21]Alkan A Sahin I Keskin L Cikim A Karakas H Sigirci A Erdem G. Diffusion-weighted imaging features of brain in obesity. Magnetic Resonanance Imaging 2007 26 446– 450. 18063337
  22. [22]Menzler K Belke M Unger M Ohletz T Keil B Heverhagen J Rosenow F Mayer G Oertel W Möller J et al DTI reveals hypothalamic and brainstem white matter lesions in patients with idiopathic narcolepsy. Sleep Medicine 2012 13 736– 742. 22541810
  23. [23]Follin C Fjalldal S Svärd D van Westen D Gabery S Petersén Å Lätt J Rylander L Erfurth EM. Microstructure alterations in the hypothalamus in cranially radiated childhood leukaemia survivors but not in craniopharyngioma patients unaffected by hypothalamic damage. Clinical Endocrinology 2017 87 359– 366. 28502079
  24. [24]Puig J Blasco G Daunis-I-Estadella J Molina X Xifra G Ricart W Pedraza S Fernández-Aranda F Fernández-Real JM Hypothalamic damage is associated with inflammatory markers and worse cognitive performance in obese subjects. Journal of Clinical Endocrinology and Metabolism 2015 100 276– 281. 25423565
  25. [25]Vargha-Khadem DG Gadian KE Watkins A Connelly W Van Paesschen M Mishkin M Differential effects of early hippocampal pathology on episodic and semantic memory. Science 1997 277 376– 380. 9219696
  26. [26]Koenig KA Sakaie KE Lowe MJ Lin J Stone L Bermel RA Beall EB Rao SM Trapp BD Phillips MD. The relationship between cognitive function and high-resolution diffusion tensor MRI of the cingulum bundle in multiple sclerosis. Multiple Sclerosis 2015 21 1794– 1801. 26106010 PMC4661103
  27. [28]Olson IR Von Der Heide RJ Alm KH Vyas G. Development of the uncinate fasciculus: implications for theory and developmental disorders. Developmental Cognitive Neuroscience 2015 14 50– 61. 26143154 PMC4795006
  28. [30]Link K Moell C Österberg K Persson R Örbäck P Garwicz S Cavallin-Ståhl E Erfurth EM Adult survivors of acute lymphoblastic leukemia with GH deficiency have normal self-rated quality of life but impaired neurospychological performance 20 years after cranial irradiation. Clinical Endocrinology 2006 65 617– 625. 17054463
  29. [31]Lezak MD Neusopsychological Assessment, 5th ed. New York: Oxford University Press, 2012.
  30. [32]Klein S Staring M Murphy K Viergever MA Pluim JPW. Elastix: a toolbox for intensity based medical image registration. IEEE Transection on Medical Imaging 2010 29 196– 205. 19923044
  31. [33]Jenkinson M Beckmann CF Behrens TE Woolrich MW Smith SM. FSL. Neuro Image 2012 62 782– 790. 21979382
  32. [34]Reuter M Schmansky NJ Rosas HD Fischl B. Within-subject template estimation for unbiased longitudinal image analysis. Neuro Image 2012 61 1402– 1418. 22430496 PMC3389460
  33. [35]Gabery S Georgiou-Karistianis N Lundh SH Cheong RY Churchyard A Chua P Stout JC Egan GF Kirik D Petersén Å Volumetric analysis of the hypothalamus in Huntington disease using 3T MRI: the IMAGE-HD Study. PLoS ONE 2015 10 e0117593. 25659157 PMC4319930
  34. [36]Lebel C Gee M Camicioli R Wieler M Martin W Beaulieu C. Diffusion tensor imaging of white matter tract evolution over the lifespan. NeuroImage 2012 60 340– 352. 22178809
  35. [37]van der Werff SJ Andela CD Nienke Pannekoek J Meijer OC van Buchem MA Rombouts SA van der Mast RC Biermasz NR Pereira AM van der Wee NJ. Widespread reductions of white matter integrity in patients with long-term remission of Cushing’s disease. Neuroimage Clinical 2014 4 659– 667. 24936417 PMC4053612
  36. [38]Wu Y Sun D Wang Y Wang Y Ou S. Segmentation of the cingulum bundle in the human brain: a new perspective based on DSI Tractography and Fiber Dissection Study. Frontiers in Neuroanatomy 2016 10 84. 27656132 PMC5013069
  37. [40]Crespo I Esther GM Santos A Valassi E Yolanda VG De Juan-Delago M Webb SM Gómez-Ansón B Resmini E. Impaired decision-making and selective cortical frontal thinning in Cushing’s syndrome. Clinical Endocrinology 2014 81 826– 833. 25052342
  38. [41]Pires P Santos A Vives-Gilabert Y Webb S.M Sainz-Ruiz A Resmini E Crespo I de Juan-Delago M Gómez-Anson B White matter alterations in the brains of patients with active, remitted, and cured Cushing syndrome: a DTI study. AJNR American Journal of Neuroradiology 2015 36 1043– 1048. 25929879 PMC8013026
  39. [42]Pires P Santos A Vives-Gilabert Y Webb SM Sainz-Ruiz A Resmini E Crespo I de Juan-Delago M Gómez-Anson B. White matter involvement on DTI-MRI in Cushing’s syndrome relates to mood disturbances and processing speed: a case-control study. Pituitary 2017 20 340– 348. 28332051
  40. [43]Fraser MA Shaw ME Cherbuin N A systematic review and meta-analysis of longitudinal hippocampal atrophy in healthy human ageing. NeuroImage 2015 112 364– 374. 25800208
  41. [44]Jones DK Christiansen KF Chapman RJ Aggleton JP. Distinct subdivisions of the cingulum bundle revealed by diffusion MRI fiber tracking: implications for neuropsychological investigations. Neuropsychologia 2013 51 67– 78. 23178227 PMC3611599

Cited by

Sorted by citations

Authors
Fjalldal, S., Follin, C., Svärd, D., Rylander, L., Gabery, S., Petersén, Å., van Westen, D., Sundgren, P. C., Björkman-Burtscher, I. M., Lätt, J., Ekman, B., Johanson, A., & Erfurth, E. M.
Affiliations
  • Skåne University Hospital (SE)
  • 2Department of Diagnostic Radiology, Clinical Sciences
  • Lund University (SE)
  • Linköping University (SE)
Corresponding author
Erfurth, E M
Venue
European Journal of Endocrinology
Published
2018-06
Volume
178
Issue
6
Pages
577-587
ISSN
  • 0804-4643 (ISSN-L)
  • 1479-683X
OpenAlex
W2794933342
Cited by
31
References
3
Citations by year
2026: 4 · 2025: 2 · 2024: 2 · 2023: 4 · 2022: 1 · 2021: 7 · 2020: 6 · 2019: 5
FWCI
3.58
Type
journal article
Language
en
Open access
Locations
  • European Journal of Endocrinology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DiVA (Linkoping University) (submittedVersion, other-oa)
  • Lund University Publications (Lund University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pituitary Gland Disorders and Treatments
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Social Sciences › Psychology › Social Psychology › Neuroendocrine regulation and behavior
Keywords
craniopharyngioma, childhood-onset craniopharyngioma, hypothalamic lesions, white matter microstructure, hippocampal volume, cognitive impairment, uncinate fasciculus, cingulum, fornix, visual episodic memory, executive function, visuospatial ability, general knowledge, diffusion tensor imaging
MeSH terms
Adolescent, Adult, Craniopharyngioma, Cross-Sectional Studies, Female, Follow-Up Studies, Hippocampus, Humans, Male, Middle Aged, Organ Size, Pituitary Neoplasms, Random Allocation, Young Adult, Diffusion Tensor Imaging, Cognitive Dysfunction, White Matter

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review