References
- Addis, D. R., Wong, A. T., & Schacter, D. L. (2007). Remembering the past and imagining the future: Common and distinct neural substrates during event construction and elaboration. Neuropsychologia, 45(7), 1363–1377. https://doi.org/10.1016/j.neuropsychologia.2006.10.016
- Alcaro, A., & Panksepp, J. (2011). The SEEKING mind: Primal neuro-affective substrates for appetitive incentive states and their pathological dynamics in addictions and depression. Neuroscience and Biobehavioral Reviews, 35(9), 1805–1820. https://doi.org/10.1016/j.neubiorev.2011.03.002
- Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck depression inventory-II (BDI-II). Psychological Corporation.
- Biswal, B., Yetkin, F. Z., Haughton, V. M., & Hyde, J. S. (1995). Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnetic Resonance in Medicine, 34(4), 537–541. https://doi.org/10.1002/mrm.1910340409
- Bogousslavsky, J., Van Melle, G., & Regli, F. (1988). The lausanne stroke registry: Analysis of 1,000 consecutive patients with first stroke. Stroke, 19(9), 1083–1092. https://doi.org/10.1161/01.STR.19.9.1083
- Braga, R. M., & Leech, R. (2015). Echoes of the brain: Local-scale representation of whole-brain functional networks within trasmodal cortex. The Neuroscientist, 21(5), 540–551. https://doi.org/10.1177/1073858415585730
- Chai, X. J., Castañón, A. N., Ongür, D., & Whitfield-Gabrieli, S. (2012). Anticorrelations in resting state networks without global signal regression. NeuroImage, 59(2), 1420–1428. https://doi.org/10.1016/j.neuroimage.2011.08.048
- Chang, E. Y., Chang, E. H., Cragg, S., & Cramer, S. C. (2013). Predictors of gains during inpatient rehabilitation in patients with stroke– A review. Critical Reviews in Physical and Rehabilitation Medicine, 25(3–4), 203–221. https://doi.org/10.1615/CritRevPhysRehabilMed.2013008120
- Coleman, E. R., Moudgal, R., Lang, K., Hyacinth, H., Awosika, O. O., Kissela, B. M., & Feng, W. (2017). Early rehabilitation after stroke: A narrative review. Current Atherosclerosis Reports, 19(12), 59. https://doi.org/10.1007/s11883-017-0686-6
- Corbetta, M., Ramsey, L., Callejas, A., Baldassarre, A., Hacker, C. D., Siegel, J. S., Shulman, G. L., Astafiev, S., Rengachary, J., Zinn, K., Lang, C., Connor, L., Fucetola, R., Strube, M., & Carter, A. (2015). Common behavioral clusters and subcortical anatomy in stroke. Neuron, 85(5), 927–941. https://doi.org/10.1016/j.neuron.2015.02.027
- Cox, R. W. (1996). AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical Research, 29(3), 162–173. https://doi.org/10.1006/cbmr.1996.0014
- Dabrowska-Bender, M., Milewska, M., Gołabek Duda-Zalewska, A., Duda-Zalewska, A., & Staniszewska, A. (2017). The impact of ischemic cerebral stroke on the quality of life of patients based on clinical, social, and psychoemotional factors. Journal of Stroke and Cerebrovascular Diseases, 26(1), 101–107. https://doi.org/10.1016/j.jstrokecerebrovasdis.2016.08.036
- Davis, K. L., Panksepp, J., & Normansell, L. (2003). The affective neuroscience personality scales: Normative data and implications. Neuro-Psychoanalysis, 5(1), 57–69.
- De Renzi, E., & Faglioni, P. (1978). Normative data and screening power of a shortened version of the Token Test. Cortex, 14(1), 41–49. https://doi.org/10.1016/S0010-9452(78)80006-9
- DeVolder, A. G., Goffinet, A. M., Bol, A., Michel, C., de Barsy, T., & Laterre, C. (1990). Brain glucose metabolism in postanoxic syndrome. Positron emission tomographic study. Archives of Neurology, 47(2), 197–204. https://doi.org/10.1001/archneur.1990.00530020103022
- Drevets, W. C., Price, J. L., & Furey, M. L. (2008). Brain structural and functional abnormalities in mood disorders: Implications for neurocircuitry models of depression. Brain Structure & Function, 213(1–2), 93–118. https://doi.org/10.1007/s00429-008-0189-x
- Duncan, P. W., Zorowitz, R., Bates, B., Choi, J. Y., Glasberg, J. J., Graham, G. D., Reker, D., Katz, R. C., & Lamberty, K. (2005). Management of adult stroke rehabilitation care: A clinical practice guideline. Stroke, 36(9), e100–e143. https://doi.org/10.1161/01.STR.0000180861.54180.FF
- Farinelli, M., Panksepp, J., Cevolani, D., Gestieri, L., Maffei, M., Agati, R., & Northoff, G. (2015). Do brain lesions in stroke affect basic emotions and attachment? Journal of Clinical and Experimental Neuropsychology, 37(6), 595–613. https://doi.org/10.1080/13803395.2014.991279
- Farinelli, M., Panksepp, J., Gestieri, L., Leo, M. R., Agati, R., Maffei, M., Northoff, G., & Leonardi, M. (2013). Seeking and depression in stroke patients: An exploratory study. Journal of Clinical and Experimental Neuropsychology, 35(4), 348–358. https://doi.org/10.1080/13803395.2013.776009
- Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198. https://doi.org/10.1016/0022-3956(75)90026-6
- Fox, M. D., & Raichle, M. E. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature Reviews. Neuroscience, 8(9), 700–711. https://doi.org/10.1038/nrn2201
- Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America, 102(27), 9673–9678. https://doi.org/10.1073/pnas.0504136102
- Hackett, M. L., Köhler, S., O’Brien, J. T., & Mead, G. E. (2014). Neuropsychiatric outcomes of stroke. The Lancet. Neurology, 13(5), 525–534. https://doi.org/10.1016/S1474-4422(14)70016-X
- Han, Y., Wang, J., Zhao, Z., Min, B., Lu, J., Li, K., Jia, J., & He, Y. (2011). Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: A resting state fMRI study. NeuroImage, 55(1), 287–295. https://doi.org/10.1016/j.neuroimage.2010.11.059
- Huang, Z., Dai, R., Wu, X., Yang, Z., Liu, D., Hu, J., Northoff, G., Gao, L., Tang, W., Mao, Y., Jin, Y., Wu, X., Liu, B., Zhang, Y., Lu, L., Laureys, S., & Weng, X. (2014). The self and its resting state in consciousness: An investigation of the vegetative state. Human Brain Mapping, 35(5), 1997–2008. https://doi.org/10.1002/hbm.22308
- Huang, Z., Obara, N., Davis, H. H., Pokorny, J., & Northoff, G. (2016). The temporal structure of resting-state brain activity in the medial prefrontal cortex predicts self-consciousness. Neuropsychologia, 82, 161–170. https://doi.org/10.1016/j.neuropsychologia.2016.01.025
- Johnson, W., Onuma, O., Owolabi, M., & Sachdev, S. (2016). Stroke: A global response is needed. Bulletin of the World Health Organization, 94(9), 634–634A. https://doi.org/10.2471/BLT.16.181636
- Kang, D. W., Chalela, J. A., Ezzeddine, M. A., & Warach, S. (2003). Association of ischemic lesion patterns on early diffusion-weighted imaging with TOAST stroke subtypes. Archives of Neurology, 60(12), 1730–1734. https://doi.org/10.1001/archneur.60.12.1730
- Katayama, K., Takahashi, N., Ogawara, K., & Hattori, T. (1999). Pure topographical disorientation due to right posterior cingulate lesion. Cortex, 35(2), 279–282. https://doi.org/10.1016/S0010-9452(08)70801-3
- Lassalle-Lagadec, S., Sibon, I., Diharreguy, B., Renou, P., Fleury, O., & Allard, M. (2012). Subacute default mode network dysfunction in the prediction of post-stroke depression severity. Radiology, 264(1), 218–224. https://doi.org/10.1148/radiol.12111718
- Leech, R., Braga, R., & Sharp, D. J. (2012). Echoes of the brain within the posterior cingulate cortex. The Journal of Neuroscience, 32(1), 215–222. https://doi.org/10.1523/JNEUROSCI.3689-11.2012
- Leech, R., & Sharp, D. J. (2014). The role of the posterior cingulate cortex in cognition and disease. Brain, 137(1), 12–32. https://doi.org/10.1093/brain/awt162
- Lenhard, W., & Lenhard, A. (2014). Hypothesis tests for comparing correlations. Psychometrica. https://doi.org/10.13140/RG.2.1.2954.1367
- Liao, -C.-C., Chen, Y.-F., & Xiao, F. (2018, April 12). Brain midline shift measurement and its automation: A review of techniques and algorithms. International Journal of Biomedical Imaging, 2018, 4303161. https://doi.org/10.1155/2018/4303161
- Matsuoka, K., Yasuno, F., Taguchi, A., Yamamoto, A., Kajimoto, K., Kazui, H., Nagatsuka, K., Kudo, T., Sekiyama, A., Kitamura, S., Kiuchi, K., Kosaka, J., Kishimoto, T., & Iida, H. (2015). Delayed atrophy in posterior cingulate cortex and apathy after stroke. International Journal of Geriatric Psychiatry, 30(6), 566–572. https://doi.org/10.1002/gps.4185
- Northoff, G., & Heiss, W.-D. (2015). Why is the distinction between neural predispositions, prerequisites, and correlates of the level of consciousness clinically relevant? Functional brain imaging in coma and vegetative state. Stroke, 46(4), 1147–1151. https://doi.org/10.1161/STROKEAHA.114.007969
- Northoff, G., & Panksepp, J. (2008). The trans-species concept of self and the subcortical–cortical midline system. Trends in Cognitive Sciences, 12(7), 259–264. https://doi.org/10.1016/j.tics.2008.04.007
- Northoff, G., Pengmin, P., & Feinberg, T. E. (2010). Brain imaging of the self-conceptual, anatomical and methodological issues. Consciousness and Cognition, 20(1), 52–63. https://doi.org/10.1016/j.concog.2010.09.011
- Panksepp, J. (1998). Affective neuroscience: The foundations of human and animal emotions. Oxford University Press.
- Panksepp, J. (2011a). The neurobiology of social loss in animals: Some keys of the puzzle of physic pain in humans. In L. A. Jensen-Campbell & G. MacDonald (Eds.), Social pain: Neuropsychological and health implication of loss and exclusion (pp. 11–51). American Psychological Association.
- Panksepp, J. (2011b). Toward a cross-species neuroscientific understanding of the affective mind: Do animals have emotional feelings? American Journal of Primatology, 73(6), 545–561. https://doi.org/10.1002/ajp.20929
- Panksepp, J., & Biven, L. (2012). The archaeology of mind: Neuroevolutionary origins of human emotions. W. W. Norton & Company.
- Panksepp, J., & Northoff, G. (2009). The trans-species core SELF: The emergence of active cultural and neuro-ecological agents through self-related processing within subcortical-cortical midline networks. Consciousness and Cognition, 18(1), 193–215. https://doi.org/10.1016/j.concog.2008.03.002
- Pascazio, L., Bembich, S., Nardone, I. B., Vecchiet, C., Guarino, G., & Clarici, A. (2015). Validation of the Italian translation of the affective neuroscience personality scales. Psychological Reports, 116(1), 97–115. https://doi.org/10.2466/08.09.PR0.116k13w4
- Pfefferbaum, A., Chanraud, S., Pitel, A. L., Shankaranarayanan, A., Alsop, D. C., Rohlfing, T., & Sullivan, E. V. (2010). Volumetric cerebral perfusion imaging in healthy adults: Regional distribution, laterality, and repeatability of pulsed continuous arterial spin labeling (PCASL). Psychiatry Research, 182(3), 266–273. https://doi.org/10.1016/j.pscychresns.2010.02.010
- Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59(3), 2142–2154. https://doi.org/10.1016/j.neuroimage.2011.10.018
- Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America, 98(2), 676–682. https://doi.org/10.1073/pnas.98.2.676
- Ramsey, L. E., Siegel, J. S., Lang, C. E., Strube, M., Shulman, G. L., & Corbetta, M. (2017). Behavioural clusters and predictors of performance during recovery from stroke. Nature Human Behaviour, 1(3), 0038. https://doi.org/10.1038/s41562-016-0038
- Sharp, D. J., Scott, G., & Leech, R. (2014). Network dysfunction after traumatic brain injury. Nature Reviews. Neurology, 10(3), 156–166. https://doi.org/10.1038/nrneurol.2014.15
- Sica, C., & Ghisi, M. (2007). The Italian versions of the beck anxiety inventory and the beck depression inventory-II: Psychometric properties and discriminant power. In M. A. Lange (Ed.), Leading-edge psychological tests and testing research (pp. 27–50). Nova Science Publishers.
- Spinnler, H., & Tognoni, G. (1987). Standardizzazione e taratura italiana di test neuropsicologici [Italian standardization and calibration of neuropsychological tests]. Italian Journal of Neurological Sciences, 6(Suppl. 8), 1–120.
- Takahashi, N., Kawamura, M., Shiota, J., Kasahata, N., & Hirayama, K. (1997). Pure topographic disorientation due to right retrosplenial lesion. Neurology, 49(2), 464–469. https://doi.org/10.1212/WNL.49.2.464
- Talairach, J., & Tournoux, P. (1988). Co-planar stereotaxic atlas of the human brain. Thieme Medical Publishers.
- Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012). The influence of head motion on intrinsic functional connectivity MRI. NeuroImage, 59(1), 431–438. https://doi.org/10.1016/j.neuroimage.2011.07.044
- Wessels, T., Wessels, C., Ellsiepen, A., Reuter, I., Trittmacher, S., Stolz, E., & Jauss, M. (2006). Contribution of diffusion-weighted imaging in determinationof stroke etiology. AJNR, American Journal of Neuroradiology, 27(1), 35–39.
- Wright, J. S., & Panksepp, J. (2012). An evolutionary framework to understand foraging, wanting, and desire: The neuropsychology of the SEEKING system. Neuropsychoanalysis, 14(1), 5–39. https://doi.org/10.1080/15294145.2012.10773683
- Wu, X., Zou, Q., Hu, J., Tang, W., Mao, Y., Gao, L., & Yang, Y. (2015). Intrinsic functional connectivity patterns prediction, consciousness level and recovery outcome in acquired brain injury. The Journal of Neuroscience, 35(37), 12932–12946. https://doi.org/10.1523/JNEUROSCI.0415-15.2015
- Zaidel, E. (1977). Unilateral auditory language comprehension on the Token Test following cerebral commissurotomy and hemispherectomy. Neuropsychologia, 15(1), 1–18. https://doi.org/10.1016/0028-3932(77)90110-5
- Zang, Y., He, Y., Zhu, C.-Z., Cao, Q.-J., Sui, M.-Q., Liang, M., & Wang, Y.-F. (2007). Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain & Development, 29(2), 83–91. https://doi.org/10.1016/j.braindev.2006.07.002
- Zar, J. H. (1999). Biostatistical analysis (4th ed.). Prentice Hall.
- Zar, J. H. (2005). Spearman rank correlation: Overview. Encyclopedia of Biostatistics. https://doi.org/10.1002/9781118445112.stat05964
- Zhang, D., & Raichle, M. E. (2010). Disease and the brain’s dark energy. Nature Reviews. Neurology, 6(1), 15–28. https://doi.org/10.1038/nrneurol.2009.198
- Zhang, H., Dai, R., Qin, P., Tang, W., Hu, J., Weng, X., Northoff, G., Wu, X., Mao, Y., & Wu, X. (2017). Posterior cingulate cross-hemispheric functional connectivity predicts the level of consciousness in traumatic brain injury. Scientific Reports, 7(1), 387. https://doi.org/10.1038/s41598-017-00392-5