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Titolo:
Statistical sulcal shape comparisons: Application to the detection of genetic encoding of the central sulcus shape
Autore:
Le Goualher, G; Argenti, AM; Duyme, M; Baare, WFC; Pol, HEH; Boomsma, DI; Zouaoui, A; Barillot, C; Evans, AC;
Indirizzi:
McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ H3A 2B4, Canada McGill Univ Montreal PQ Canada H3A 2B4 Ctr, Montreal, PQ H3A 2B4, Canada Univ Paris 07, INSERM, U155, Unite Rech Epidemiol Genet, Paris, France Univ Paris 07 Paris France 5, Unite Rech Epidemiol Genet, Paris, France Univ Utrecht, Med Ctr Utrecht, Dept Psychiat, NL-3584 CX Utrecht, Netherlands Univ Utrecht Utrecht Netherlands NL-3584 CX 3584 CX Utrecht, Netherlands Vrije Univ Amsterdam, Dept Biol Psychol, Amsterdam, Netherlands Vrije UnivAmsterdam Amsterdam Netherlands chol, Amsterdam, Netherlands Hop La Pitie Salpetriere, Dept Neuroradiol, Paris, France Hop La Pitie Salpetriere Paris France , Dept Neuroradiol, Paris, France IRISA, French Natl Res Inst Comp Sci & Control, VISTA Project, Rennes, France IRISA Rennes France t Comp Sci & Control, VISTA Project, Rennes, France
Titolo Testata:
NEUROIMAGE
fascicolo: 5, volume: 11, anno: 2000,
pagine: 564 - 574
SICI:
1053-8119(200005)11:5<564:SSSCAT>2.0.ZU;2-K
Fonte:
ISI
Lingua:
ENG
Soggetto:
POSITRON EMISSION TOMOGRAPHY; HUMAN CEREBRAL-CORTEX; MONOZYGOTIC TWINS; HUMAN BRAIN; VARIABILITY; MODEL; AREA;
Keywords:
cerebral cortex; central sulcus; Principal Component Analysis; genetic encoding;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
40
Recensione:
Indirizzi per estratti:
Indirizzo: Le Goualher, G McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, 3801 Univ St, Montreal, PQ H3A 2B4, Canada McGill Univ 3801 Univ St Montreal PQ Canada H3A 2B4 Canada
Citazione:
G. Le Goualher et al., "Statistical sulcal shape comparisons: Application to the detection of genetic encoding of the central sulcus shape", NEUROIMAGE, 11(5), 2000, pp. 564-574

Abstract

Principal Component Analysis allows a quantitative description of shape variability with a restricted number of parameters (or modes) which can be used to quantify the difference between two shapes through the computation ofa modal distance. A statistical test can then be applied to this set of measurements in order to detect a statistically significant difference between two groups. We have applied this methodology to highlight evidence of genetic encoding of the shape of neuroanatomical structures. To investigate genetic constraint, we studied if shapes were more similar within 10 pairs ofmonozygotic twins than within interpairs and compared the results with those obtained from 10 pairs of dizygotic twins. The statistical analysis was performed using a Mantel permutation test. We show, using simulations, thatthis statistical test applied on modal distances can detect a possible genetic encoding. When applied to real data, this study highlighted genetic constraints on the shape of the central sulcus. We found from 10 pairs of monozygotic twins that the intrapair modal distance of the central sulcus was significantly smaller than the interpair modal distance, for both the left central sulcus (Z = -2.66; P < 0.005) and the right central sulcus (Z = -2.26; P < 0.05). Genetic constraints on the definition of the central sulcus shape were confirmed by applying the same experiment to 10 pairs of normal young individuals (Z = -1.39; Z = -0.63, i.e., values not significant at the P < 0.05 level) and 10 pairs of dizygotic twins (Z = 0.47; Z = 0.03, i.e., values not significant at the P < 0.05 level). (C) 2000 Academic Press.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/01/20 alle ore 12:01:25