Skip to main content
Top
Published in: EJNMMI Research 1/2013

Open Access 01-12-2013 | Original research

Multivariate analysis of brain metabolism reveals chemotherapy effects on prefrontal cerebellar system when related to dorsal attention network

Authors: Federico D'Agata, Tommaso Costa, Paola Caroppo, Bruno Baudino, Franco Cauda, Matteo Manfredi, Giuliano Geminiani, Paolo Mortara, Lorenzo Pinessi, Giancarlo Castellano, Gianni Bisi

Published in: EJNMMI Research | Issue 1/2013

Login to get access

Abstract

Background

Functional brain changes induced by chemotherapy are still not well characterized. We used a novel approach with a multivariate technique to analyze brain resting state [18 F]FDG-PET in patients with lymphoma, to explore differences on cerebral metabolic glucose rate between chemotherapy-treated and non-treated patients.

Methods

PET/CT scan was performed on 28 patients, with 14 treated with systemic chemotherapy. We used a support vector machine (SVM) classification, extracting the mean metabolism from the metabolic patterns, or networks, that discriminate the two groups. We calculated the correct classifications of the two groups using the mean metabolic values extracted by the networks.

Results

The SVM classification analysis gave clear-cut patterns that discriminate the two groups. The first, hypometabolic network in chemotherapy patients, included mostly prefrontal cortex and cerebellar areas (central executive network, CEN, and salience network, SN); the second, which is equal between groups, included mostly parietal areas and the frontal eye field (dorsal attention network, DAN). The correct classification membership to chemotherapy or not chemotherapy-treated patients, using only one network, was of 50% to 68%; however, when all the networks were used together, it reached 80%.

Conclusions

The evidenced networks were related to attention and executive functions, with CEN and SN more specialized in shifting, inhibition and monitoring, DAN in orienting attention. Only using DAN as a reference point, indicating the global frontal functioning before chemotherapy, we could better classify the subjects. The emerging concept consists in the importance of the investigation of brain intrinsic networks and their relations in chemotherapy cognitive induced changes.
Appendix
Available only for authorised users
Literature
1.
go back to reference Ahles TA, Saykin AJ: Candidate mechanisms for chemotherapy-induced cognitive changes. Nat Rev Cancer 2007, 7: 192–201. 10.1038/nrc2073CrossRef Ahles TA, Saykin AJ: Candidate mechanisms for chemotherapy-induced cognitive changes. Nat Rev Cancer 2007, 7: 192–201. 10.1038/nrc2073CrossRef
2.
go back to reference Falleti MG, Sanfilippo A, Maruff P, Weih L, Phillips K-A: The nature and severity of cognitive impairment associated with adjuvant chemotherapy in women with breast cancer: a meta-analysis of the current literature. Brain Cogn 2005, 59: 60–70. 10.1016/j.bandc.2005.05.001CrossRef Falleti MG, Sanfilippo A, Maruff P, Weih L, Phillips K-A: The nature and severity of cognitive impairment associated with adjuvant chemotherapy in women with breast cancer: a meta-analysis of the current literature. Brain Cogn 2005, 59: 60–70. 10.1016/j.bandc.2005.05.001CrossRef
3.
go back to reference Jansen CE, Miaskowski C, Dodd M, Dowling G, Kramer J: A metaanalysis of studies of the effects of cancer chemotherapy on various domains of cognitive function. Cancer 2005, 104: 2222–2233. 10.1002/cncr.21469CrossRef Jansen CE, Miaskowski C, Dodd M, Dowling G, Kramer J: A metaanalysis of studies of the effects of cancer chemotherapy on various domains of cognitive function. Cancer 2005, 104: 2222–2233. 10.1002/cncr.21469CrossRef
4.
go back to reference Stemmer SM, Stears JC, Burton BS, Jones RB, Simon JH: White matter changes in patients with breast cancer treated with high-dose chemotherapy and autologous bone marrow support. AJNR 1994, 15: 1267–1273. Stemmer SM, Stears JC, Burton BS, Jones RB, Simon JH: White matter changes in patients with breast cancer treated with high-dose chemotherapy and autologous bone marrow support. AJNR 1994, 15: 1267–1273.
5.
go back to reference Brown MS, Stemmer SM, Simon JH, Stears JC, Jones RB, Cagnoni PJ, Sheeder JL: White matter disease induced by high-dose chemotherapy: longitudinal study with MR imaging and proton spectroscopy. AJNR Am J Neuroradiol 1998, 19: 217–221. Brown MS, Stemmer SM, Simon JH, Stears JC, Jones RB, Cagnoni PJ, Sheeder JL: White matter disease induced by high-dose chemotherapy: longitudinal study with MR imaging and proton spectroscopy. AJNR Am J Neuroradiol 1998, 19: 217–221.
6.
go back to reference de Ruiter MB, Reneman L, Boogerd W, Veltman DJ, Caan M, Douaud G, Lavini C, Linn SC, Boven E, van Dam FS, Schagen SB: Late effects of high-dose adjuvant chemotherapy on white and gray matter in breast cancer survivors: Converging results from multimodal magnetic resonance imaging. Hum Brain Mapp 2011, 33: 2971–2983.CrossRef de Ruiter MB, Reneman L, Boogerd W, Veltman DJ, Caan M, Douaud G, Lavini C, Linn SC, Boven E, van Dam FS, Schagen SB: Late effects of high-dose adjuvant chemotherapy on white and gray matter in breast cancer survivors: Converging results from multimodal magnetic resonance imaging. Hum Brain Mapp 2011, 33: 2971–2983.CrossRef
7.
go back to reference Inagaki M, Yoshikawa E, Matsuoka Y, Sugawara Y, Nakano T, Akechi T, Wada N, Imoto S, Murakami K, Uchitomi Y: Smaller regional volumes of brain gray and white matter demonstrated in breast cancer survivors exposed to adjuvant chemotherapy. Cancer 2007, 109: 146–156. 10.1002/cncr.22368CrossRef Inagaki M, Yoshikawa E, Matsuoka Y, Sugawara Y, Nakano T, Akechi T, Wada N, Imoto S, Murakami K, Uchitomi Y: Smaller regional volumes of brain gray and white matter demonstrated in breast cancer survivors exposed to adjuvant chemotherapy. Cancer 2007, 109: 146–156. 10.1002/cncr.22368CrossRef
8.
go back to reference Brown MS, Simon JH, Stemmer SM, Stears JC, Scherzinger A, Cagnoni PJ, Jones RB: MR and proton spectroscopy of white matter disease induced by high-dose chemotherapy with bone marrow transplant in advanced breast carcinoma. AJNR 1995, 16: 2013–2020. Brown MS, Simon JH, Stemmer SM, Stears JC, Scherzinger A, Cagnoni PJ, Jones RB: MR and proton spectroscopy of white matter disease induced by high-dose chemotherapy with bone marrow transplant in advanced breast carcinoma. AJNR 1995, 16: 2013–2020.
9.
go back to reference Koppelmans V, de Ruiter MB, van der Lijn F, Boogerd W, Seynaeve C, van der Lugt A, Vrooman H, Niessen WJ, Breteler MM, Schagen SB: Global and focal brain volume in long-term breast cancer survivors exposed to adjuvant chemotherapy. Breast Cancer Res Treat 2012, 132: 1099–1106. 10.1007/s10549-011-1888-1CrossRef Koppelmans V, de Ruiter MB, van der Lijn F, Boogerd W, Seynaeve C, van der Lugt A, Vrooman H, Niessen WJ, Breteler MM, Schagen SB: Global and focal brain volume in long-term breast cancer survivors exposed to adjuvant chemotherapy. Breast Cancer Res Treat 2012, 132: 1099–1106. 10.1007/s10549-011-1888-1CrossRef
10.
go back to reference Silverman DHS, Dy CJ, Castellon SA, Lai J, Pio BS, Abraham L, Waddell K, Petersen L, Phelps ME, Ganz PA: Altered frontocortical, cerebellar, and basal ganglia activity in adjuvant-treated breast cancer survivors 5–10 years after chemotherapy. Breast Cancer Res Treat 2007, 103: 303–311. 10.1007/s10549-006-9380-zCrossRef Silverman DHS, Dy CJ, Castellon SA, Lai J, Pio BS, Abraham L, Waddell K, Petersen L, Phelps ME, Ganz PA: Altered frontocortical, cerebellar, and basal ganglia activity in adjuvant-treated breast cancer survivors 5–10 years after chemotherapy. Breast Cancer Res Treat 2007, 103: 303–311. 10.1007/s10549-006-9380-zCrossRef
11.
go back to reference Kesler SR, Bennett FC, Mahaffey ML, Spiegel D: Regional brain activation during verbal declarative memory in metastatic breast cancer. Clin Cancer Res 2009, 15: 6665–6673. 10.1158/1078-0432.CCR-09-1227CrossRef Kesler SR, Bennett FC, Mahaffey ML, Spiegel D: Regional brain activation during verbal declarative memory in metastatic breast cancer. Clin Cancer Res 2009, 15: 6665–6673. 10.1158/1078-0432.CCR-09-1227CrossRef
12.
go back to reference de Ruiter MB, Reneman L, Boogerd W, Veltman DJ, van Dam FSAM, Nederveen AJ, Boven E, Schagen SB: Cerebral hyporesponsiveness and cognitive impairment 10 years after chemotherapy for breast cancer. Hum Brain Mapp 2011, 32: 1206–1219. 10.1002/hbm.21102CrossRef de Ruiter MB, Reneman L, Boogerd W, Veltman DJ, van Dam FSAM, Nederveen AJ, Boven E, Schagen SB: Cerebral hyporesponsiveness and cognitive impairment 10 years after chemotherapy for breast cancer. Hum Brain Mapp 2011, 32: 1206–1219. 10.1002/hbm.21102CrossRef
13.
go back to reference Ferguson RJ, McDonald BC, Saykin AJ, Ahles TA: Brain structure and function differences in monozygotic twins: possible effects of breast cancer chemotherapy. JCO 2007, 25: 3866–3870. 10.1200/JCO.2007.10.8639CrossRef Ferguson RJ, McDonald BC, Saykin AJ, Ahles TA: Brain structure and function differences in monozygotic twins: possible effects of breast cancer chemotherapy. JCO 2007, 25: 3866–3870. 10.1200/JCO.2007.10.8639CrossRef
14.
go back to reference Collins B, Mackenzie J, Stewart A, Bielajew C, Verma S: Cognitive effects of chemotherapy in post-menopausal breast cancer patients 1 year after treatment. Psychooncology 2009, 18: 134–143. 10.1002/pon.1379CrossRef Collins B, Mackenzie J, Stewart A, Bielajew C, Verma S: Cognitive effects of chemotherapy in post-menopausal breast cancer patients 1 year after treatment. Psychooncology 2009, 18: 134–143. 10.1002/pon.1379CrossRef
15.
go back to reference Fan HGM, Houédé-Tchen N, Yi Q-L, Chemerynsky I, Downie FP, Sabate K, Tannock IF: Fatigue, menopausal symptoms, and cognitive function in women after adjuvant chemotherapy for breast cancer: 1- and 2-year follow-up of a prospective controlled study. JCO 2005, 23: 8025–8032. 10.1200/JCO.2005.01.6550CrossRef Fan HGM, Houédé-Tchen N, Yi Q-L, Chemerynsky I, Downie FP, Sabate K, Tannock IF: Fatigue, menopausal symptoms, and cognitive function in women after adjuvant chemotherapy for breast cancer: 1- and 2-year follow-up of a prospective controlled study. JCO 2005, 23: 8025–8032. 10.1200/JCO.2005.01.6550CrossRef
16.
go back to reference Ahles TA, Saykin AJ, Furstenberg CT, Cole B, Mott LA, Skalla K, Whedon MB, Bivens S, Mitchell T, Greenberg ER, Silberfarb PM: Neuropsychologic impact of standard-dose systemic chemotherapy in long-term survivors of breast cancer and lymphoma. JCO 2002, 20: 485–493. 10.1200/JCO.20.2.485CrossRef Ahles TA, Saykin AJ, Furstenberg CT, Cole B, Mott LA, Skalla K, Whedon MB, Bivens S, Mitchell T, Greenberg ER, Silberfarb PM: Neuropsychologic impact of standard-dose systemic chemotherapy in long-term survivors of breast cancer and lymphoma. JCO 2002, 20: 485–493. 10.1200/JCO.20.2.485CrossRef
17.
go back to reference Castellon SA, Ganz PA, Bower JE, Petersen L, Abraham L, Greendale GA: Neurocognitive performance in breast cancer survivors exposed to adjuvant chemotherapy and tamoxifen. J Clin Exp Neuropsychology 2004, 26: 955–969. 10.1080/13803390490510905CrossRef Castellon SA, Ganz PA, Bower JE, Petersen L, Abraham L, Greendale GA: Neurocognitive performance in breast cancer survivors exposed to adjuvant chemotherapy and tamoxifen. J Clin Exp Neuropsychology 2004, 26: 955–969. 10.1080/13803390490510905CrossRef
18.
go back to reference Baudino B, D'Agata F, Caroppo P, Castellano G, Cauda S, Manfredi M, Geda E, Castelli L, Mortara P, Orsi L, Cauda F, Sacco K, Ardito RB, Pinessi L, Geminiani G, Torta R, Bisi G: The chemotherapy long-term effect on cognitive functions and brain metabolism in lymphoma patients. Q J Nucl Med Mol Imaging 2012, 56: 559–568. Baudino B, D'Agata F, Caroppo P, Castellano G, Cauda S, Manfredi M, Geda E, Castelli L, Mortara P, Orsi L, Cauda F, Sacco K, Ardito RB, Pinessi L, Geminiani G, Torta R, Bisi G: The chemotherapy long-term effect on cognitive functions and brain metabolism in lymphoma patients. Q J Nucl Med Mol Imaging 2012, 56: 559–568.
19.
go back to reference Wefel JS, Lenzi R, Theriault RL, Davis RN, Meyers CA: The cognitive sequelae of standard-dose adjuvant chemotherapy in women with breast carcinoma: results of a prospective, randomized, longitudinal trial. Cancer 2004, 100: 2292–2299. 10.1002/cncr.20272CrossRef Wefel JS, Lenzi R, Theriault RL, Davis RN, Meyers CA: The cognitive sequelae of standard-dose adjuvant chemotherapy in women with breast carcinoma: results of a prospective, randomized, longitudinal trial. Cancer 2004, 100: 2292–2299. 10.1002/cncr.20272CrossRef
20.
go back to reference Biswal BB, Mennes M, Zuo X-N, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Buckner RL, Colcombe S, Dogonowski AM, Ernst M, Fair D, Hampson M, Hoptman MJ, Hyde JS, Kiviniemi VJ, Kötter R, Li SJ, Lin CP, Lowe MJ, Mackay C, Madden DJ, Madsen KH, Margulies DS, Mayberg HS, McMahon K, Monk CS, Mostofsky SH: Toward discovery science of human brain function. PNAS 2010, 107: 4734–4739. 10.1073/pnas.0911855107CrossRef Biswal BB, Mennes M, Zuo X-N, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Buckner RL, Colcombe S, Dogonowski AM, Ernst M, Fair D, Hampson M, Hoptman MJ, Hyde JS, Kiviniemi VJ, Kötter R, Li SJ, Lin CP, Lowe MJ, Mackay C, Madden DJ, Madsen KH, Margulies DS, Mayberg HS, McMahon K, Monk CS, Mostofsky SH: Toward discovery science of human brain function. PNAS 2010, 107: 4734–4739. 10.1073/pnas.0911855107CrossRef
21.
go back to reference Toro R, Fox PT, Paus T: Functional coactivation map of the human brain. Cereb Cortex 2008, 18: 2553–2559. 10.1093/cercor/bhn014CrossRef Toro R, Fox PT, Paus T: Functional coactivation map of the human brain. Cereb Cortex 2008, 18: 2553–2559. 10.1093/cercor/bhn014CrossRef
22.
go back to reference Laird AR, Fox PM, Eickhoff SB, Turner JA, Ray KL, McKay DR, Glahn DC, Beckmann CF, Smith SM, Fox PT: Behavioral interpretations of intrinsic connectivity networks. J Cog Neurosci 2011, 23: 4022–4037. 10.1162/jocn_a_00077CrossRef Laird AR, Fox PM, Eickhoff SB, Turner JA, Ray KL, McKay DR, Glahn DC, Beckmann CF, Smith SM, Fox PT: Behavioral interpretations of intrinsic connectivity networks. J Cog Neurosci 2011, 23: 4022–4037. 10.1162/jocn_a_00077CrossRef
23.
go back to reference Smith SM, Fox PT, Miller KL, Glahn DC, Fox PM, Mackay CE, Filippini N, Watkins KE, Toro R, Laird AR, Beckmann CF: Correspondence of the brain's functional architecture during activation and rest. PNAS 2009, 106: 13040–13045. 10.1073/pnas.0905267106CrossRef Smith SM, Fox PT, Miller KL, Glahn DC, Fox PM, Mackay CE, Filippini N, Watkins KE, Toro R, Laird AR, Beckmann CF: Correspondence of the brain's functional architecture during activation and rest. PNAS 2009, 106: 13040–13045. 10.1073/pnas.0905267106CrossRef
24.
go back to reference Friston KJ: Functional and effective connectivity in neuroimaging: a synthesis. Hum Brain Mapp 1994, 2: 56–78. 10.1002/hbm.460020107CrossRef Friston KJ: Functional and effective connectivity in neuroimaging: a synthesis. Hum Brain Mapp 1994, 2: 56–78. 10.1002/hbm.460020107CrossRef
25.
go back to reference Habas C, Kamdar N, Nguyen D, Prater K, Beckmann CF, Menon V, Greicius MD: Distinct cerebellar contributions to intrinsic connectivity networks. J Neurosci 2009, 29: 8586–8594. 10.1523/JNEUROSCI.1868-09.2009CrossRef Habas C, Kamdar N, Nguyen D, Prater K, Beckmann CF, Menon V, Greicius MD: Distinct cerebellar contributions to intrinsic connectivity networks. J Neurosci 2009, 29: 8586–8594. 10.1523/JNEUROSCI.1868-09.2009CrossRef
26.
go back to reference Dosenbach NUF, Fair DA, Miezin FM, Cohen AL, Wenger KK, Dosenbach RA, Fox MD, Snyder AZ, Vincent JL, Raichle ME, Schlaggar BL, Petersen SE: Distinct brain networks for adaptive and stable task control in humans. PNAS 2007, 104: 11073–11078. 10.1073/pnas.0704320104CrossRef Dosenbach NUF, Fair DA, Miezin FM, Cohen AL, Wenger KK, Dosenbach RA, Fox MD, Snyder AZ, Vincent JL, Raichle ME, Schlaggar BL, Petersen SE: Distinct brain networks for adaptive and stable task control in humans. PNAS 2007, 104: 11073–11078. 10.1073/pnas.0704320104CrossRef
27.
go back to reference Seeley WW, Menon V, Schatzberg AF, Keller J, Glover GH, Kenna H, Reiss AL, Greicius MD: Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci 2007, 27: 2349–2356. 10.1523/JNEUROSCI.5587-06.2007CrossRef Seeley WW, Menon V, Schatzberg AF, Keller J, Glover GH, Kenna H, Reiss AL, Greicius MD: Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci 2007, 27: 2349–2356. 10.1523/JNEUROSCI.5587-06.2007CrossRef
28.
go back to reference Fox MD, Corbetta M, Snyder AZ, Vincent JL, Raichle ME: Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. PNAS 2006, 103: 10046–10051. 10.1073/pnas.0604187103CrossRef Fox MD, Corbetta M, Snyder AZ, Vincent JL, Raichle ME: Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. PNAS 2006, 103: 10046–10051. 10.1073/pnas.0604187103CrossRef
29.
go back to reference Guyon I, Weston J, Barnhill S, Vapnik V: Gene selection for cancer classification using support vector machines. Mach Learn 2002, 46: 389–422. 10.1023/A:1012487302797CrossRef Guyon I, Weston J, Barnhill S, Vapnik V: Gene selection for cancer classification using support vector machines. Mach Learn 2002, 46: 389–422. 10.1023/A:1012487302797CrossRef
30.
go back to reference Alonso-Atienza F, Rojo-Álvarez JL, Rosado-Muñoz A, Vinagre JJ, García-Alberola A, Camps-Valls G: Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection. Expert Syst Appl 2012, 39: 1956–1967. 10.1016/j.eswa.2011.08.051CrossRef Alonso-Atienza F, Rojo-Álvarez JL, Rosado-Muñoz A, Vinagre JJ, García-Alberola A, Camps-Valls G: Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection. Expert Syst Appl 2012, 39: 1956–1967. 10.1016/j.eswa.2011.08.051CrossRef
31.
go back to reference De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E: Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns. Neuroimage 2008, 43: 44–58. 10.1016/j.neuroimage.2008.06.037CrossRef De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E: Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns. Neuroimage 2008, 43: 44–58. 10.1016/j.neuroimage.2008.06.037CrossRef
32.
go back to reference Pereira F, Mitchell T, Botvinick M: Machine learning classifiers and fMRI: a tutorial overview. Neuroimage 2009, 45: S199-S209. 10.1016/j.neuroimage.2008.11.007CrossRef Pereira F, Mitchell T, Botvinick M: Machine learning classifiers and fMRI: a tutorial overview. Neuroimage 2009, 45: S199-S209. 10.1016/j.neuroimage.2008.11.007CrossRef
33.
go back to reference Haxby JV, Gobbini MI, Furey ML, Ishai A, Schouten JL, Pietrini P: Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 2001, 293: 2425–2430. 10.1126/science.1063736CrossRef Haxby JV, Gobbini MI, Furey ML, Ishai A, Schouten JL, Pietrini P: Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 2001, 293: 2425–2430. 10.1126/science.1063736CrossRef
34.
go back to reference Haynes J-D, Rees G: Decoding mental states from brain activity in humans. Nat Rev Neurosci 2006, 7: 523–534. 10.1038/nrn1931CrossRef Haynes J-D, Rees G: Decoding mental states from brain activity in humans. Nat Rev Neurosci 2006, 7: 523–534. 10.1038/nrn1931CrossRef
35.
go back to reference Moeller JR, Strother SC: A regional covariance approach to the analysis of functional patterns in positron emission tomographic data. J Cereb Blood Flow Metabolism 1991, 11: A121-A135.CrossRef Moeller JR, Strother SC: A regional covariance approach to the analysis of functional patterns in positron emission tomographic data. J Cereb Blood Flow Metabolism 1991, 11: A121-A135.CrossRef
36.
go back to reference Kippenhan JS, Barker WW, Pascal S, Nagel J, Duara R: Evaluation of a neural-network classifier for PET scans of normal and Alzheimer's disease subjects. J Nucl Med 1992, 33: 1459–1467. Kippenhan JS, Barker WW, Pascal S, Nagel J, Duara R: Evaluation of a neural-network classifier for PET scans of normal and Alzheimer's disease subjects. J Nucl Med 1992, 33: 1459–1467.
37.
go back to reference Vapnik VN: An overview of statistical learning theory. IEEE Trans Neural Netw 1999, 10: 988–999. 10.1109/72.788640CrossRef Vapnik VN: An overview of statistical learning theory. IEEE Trans Neural Netw 1999, 10: 988–999. 10.1109/72.788640CrossRef
38.
go back to reference Chang C, Lin C: LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2011,2(27–1):27–1. Chang C, Lin C: LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2011,2(27–1):27–1.
39.
go back to reference Smolders A, De Martino F, Staeren N, Scheunders P, Sijbers J, Goebel R, Formisano E: Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis. Magn Reson Imaging 2007, 25: 860–868. 10.1016/j.mri.2007.02.018CrossRef Smolders A, De Martino F, Staeren N, Scheunders P, Sijbers J, Goebel R, Formisano E: Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis. Magn Reson Imaging 2007, 25: 860–868. 10.1016/j.mri.2007.02.018CrossRef
40.
go back to reference Formisano E, Esposito F, Di Salle F, Goebel R: Cortex-based independent component analysis of fMRI time series. Magn Reson Imaging 2004, 22: 1493–1504. 10.1016/j.mri.2004.10.020CrossRef Formisano E, Esposito F, Di Salle F, Goebel R: Cortex-based independent component analysis of fMRI time series. Magn Reson Imaging 2004, 22: 1493–1504. 10.1016/j.mri.2004.10.020CrossRef
41.
go back to reference Habeck C, Foster NL, Perneczky R, Kurz A, Alexopoulos P, Koeppe RA, Drzezga A, Stern Y: Multivariate and univariate neuroimaging biomarkers of Alzheimer's disease. Neuroimage 2008, 40: 1503–1515. 10.1016/j.neuroimage.2008.01.056CrossRef Habeck C, Foster NL, Perneczky R, Kurz A, Alexopoulos P, Koeppe RA, Drzezga A, Stern Y: Multivariate and univariate neuroimaging biomarkers of Alzheimer's disease. Neuroimage 2008, 40: 1503–1515. 10.1016/j.neuroimage.2008.01.056CrossRef
42.
go back to reference Mingoia G, Wagner G, Langbein K, Maitra R, Smesny S, Dietzek M, Burmeister HP, Reichenbach JR, Schlösser RG, Gaser C, Sauer H, Nenadic I: Default mode network activity in schizophrenia studied at resting state using probabilistic ICA. Schizophr Res 2012, 138: 143–149. 10.1016/j.schres.2012.01.036CrossRef Mingoia G, Wagner G, Langbein K, Maitra R, Smesny S, Dietzek M, Burmeister HP, Reichenbach JR, Schlösser RG, Gaser C, Sauer H, Nenadic I: Default mode network activity in schizophrenia studied at resting state using probabilistic ICA. Schizophr Res 2012, 138: 143–149. 10.1016/j.schres.2012.01.036CrossRef
43.
go back to reference Spetsieris PG, Ma Y, Dhawan V, Eidelberg D: Differential diagnosis of Parkinsonian syndromes using PCA-based functional imaging features. Neuroimage 2009, 45: 1241–1252. 10.1016/j.neuroimage.2008.12.063CrossRef Spetsieris PG, Ma Y, Dhawan V, Eidelberg D: Differential diagnosis of Parkinsonian syndromes using PCA-based functional imaging features. Neuroimage 2009, 45: 1241–1252. 10.1016/j.neuroimage.2008.12.063CrossRef
44.
go back to reference Chiaravalloti A, Pagani M, Di Pietro B, Danieli R, Tavolozza M, Travascio L, Caracciolo CR, Simonetti G, Cantonetti M, Schillaci O: Is cerebral glucose metabolism affected by chemotherapy in patients with Hodgkin's lymphoma? Nucl Med Commun 2012, 34: 57–63.CrossRef Chiaravalloti A, Pagani M, Di Pietro B, Danieli R, Tavolozza M, Travascio L, Caracciolo CR, Simonetti G, Cantonetti M, Schillaci O: Is cerebral glucose metabolism affected by chemotherapy in patients with Hodgkin's lymphoma? Nucl Med Commun 2012, 34: 57–63.CrossRef
45.
go back to reference Hedden T, Gabrieli JDE: Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci 2004, 5: 87–96.CrossRef Hedden T, Gabrieli JDE: Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci 2004, 5: 87–96.CrossRef
46.
go back to reference Bruno J, Hosseini SMH, Kesler S: Altered resting state functional brain network topology in chemotherapy-treated breast cancer survivors. Neurobiol Dis 2012, 48: 329–338. 10.1016/j.nbd.2012.07.009CrossRef Bruno J, Hosseini SMH, Kesler S: Altered resting state functional brain network topology in chemotherapy-treated breast cancer survivors. Neurobiol Dis 2012, 48: 329–338. 10.1016/j.nbd.2012.07.009CrossRef
Metadata
Title
Multivariate analysis of brain metabolism reveals chemotherapy effects on prefrontal cerebellar system when related to dorsal attention network
Authors
Federico D'Agata
Tommaso Costa
Paola Caroppo
Bruno Baudino
Franco Cauda
Matteo Manfredi
Giuliano Geminiani
Paolo Mortara
Lorenzo Pinessi
Giancarlo Castellano
Gianni Bisi
Publication date
01-12-2013
Publisher
Springer Berlin Heidelberg
Published in
EJNMMI Research / Issue 1/2013
Electronic ISSN: 2191-219X
DOI
https://doi.org/10.1186/2191-219X-3-22

Other articles of this Issue 1/2013

EJNMMI Research 1/2013 Go to the issue