OBJECTIVE: Studies correlating electroencephalographic (EEG) data and cognitive performance in Down's syndrome (DS) showed conflicting results. The aims of this study were to investigate the sources of EEG rhythms in adults with DS at three dimensional representation of current source density (CSD) using exact/standard Low Resolution Electromagnetic Tomography (e/sLORETA), and their correlation with cognitive performance. METHODS: Twenty-five adults with DS underwent a neuropsychological battery and 5 min of resting, eye-closed 29-channel EEG were recorded. After e/sLORETA analysis, data were compared with those from age and gender-matching control subjects as following: absolute and relative power in delta (1-3 Hz), theta (4-7 Hz), alpha1 (8-9 Hz), alpha2 (10-12 Hz), beta1 (13-18 Hz), beta2 (19-21 Hz), beta3 (22-30 Hz); alpha and theta bands adjusted to individual alpha peak frequency (IAF). Current source activities in DS group in regions showing significant differences compared with controls underwent correlation analysis with psychometric scores. RESULTS: In DS, IAF was shifted to lower frequencies and correlated positively with Wechsler Adult Intelligence Scale and Mini-Mental State examination. Compared with controls, DS showed increased CSD in: theta, alpha-1, and beta1 classical bands and in IAF-adjusted bands, while relative alpha2 was decreased. A negative correlation between cognitive performance and theta/alpha CSD in the right frontal lobe and right posterior cingulate cortex was found. The relative alpha2 correlated positively with cognitive tests. CONCLUSIONS: Increased CSD in DS, correlating with cognitive performance, for both slow and fast rhythms suggests involving of cortical and subcortical mechanisms. LORETA might be useful for objective measure of cognitive decline in DS.
OBJECTIVE: Studies correlating electroencephalographic (EEG) data and cognitive performance in Down's syndrome (DS) showed conflicting results. The aims of this study were to investigate the sources of EEG rhythms in adults with DS at three dimensional representation of current source density (CSD) using exact/standard Low Resolution Electromagnetic Tomography (e/sLORETA), and their correlation with cognitive performance. METHODS: Twenty-five adults with DS underwent a neuropsychological battery and 5 min of resting, eye-closed 29-channel EEG were recorded. After e/sLORETA analysis, data were compared with those from age and gender-matching control subjects as following: absolute and relative power in delta (1-3 Hz), theta (4-7 Hz), alpha1 (8-9 Hz), alpha2 (10-12 Hz), beta1 (13-18 Hz), beta2 (19-21 Hz), beta3 (22-30 Hz); alpha and theta bands adjusted to individual alpha peak frequency (IAF). Current source activities in DS group in regions showing significant differences compared with controls underwent correlation analysis with psychometric scores. RESULTS: In DS, IAF was shifted to lower frequencies and correlated positively with Wechsler Adult Intelligence Scale and Mini-Mental State examination. Compared with controls, DS showed increased CSD in: theta, alpha-1, and beta1 classical bands and in IAF-adjusted bands, while relative alpha2 was decreased. A negative correlation between cognitive performance and theta/alpha CSD in the right frontal lobe and right posterior cingulate cortex was found. The relative alpha2 correlated positively with cognitive tests. CONCLUSIONS: Increased CSD in DS, correlating with cognitive performance, for both slow and fast rhythms suggests involving of cortical and subcortical mechanisms. LORETA might be useful for objective measure of cognitive decline in DS.
Authors: Y Zhang; N Schuff; G-H Jahng; W Bayne; S Mori; L Schad; S Mueller; A-T Du; J H Kramer; K Yaffe; H Chui; W J Jagust; B L Miller; M W Weiner Journal: Neurology Date: 2007-01-02 Impact factor: 9.910
Authors: J Mazziotta; A Toga; A Evans; P Fox; J Lancaster; K Zilles; R Woods; T Paus; G Simpson; B Pike; C Holmes; L Collins; P Thompson; D MacDonald; M Iacoboni; T Schormann; K Amunts; N Palomero-Gallagher; S Geyer; L Parsons; K Narr; N Kabani; G Le Goualher; D Boomsma; T Cannon; R Kawashima; B Mazoyer Journal: Philos Trans R Soc Lond B Biol Sci Date: 2001-08-29 Impact factor: 6.237
Authors: H Bowers; D Smith; S de la Salle; J Choueiry; D Impey; T Philippe; H Dort; A Millar; M Daigle; P R Albert; A Beaudoin; V Knott Journal: Genes Brain Behav Date: 2015-07-15 Impact factor: 3.449
Authors: D Colas; B Chuluun; D Warrier; M Blank; D Z Wetmore; P Buckmaster; C C Garner; H C Heller Journal: Br J Pharmacol Date: 2013-07 Impact factor: 8.739
Authors: Lauren E Ethridge; Stormi P White; Matthew W Mosconi; Jun Wang; Ernest V Pedapati; Craig A Erickson; Matthew J Byerly; John A Sweeney Journal: Mol Autism Date: 2017-06-07 Impact factor: 7.509
Authors: Marco Simões; Raquel Monteiro; João Andrade; Susana Mouga; Felipe França; Guiomar Oliveira; Paulo Carvalho; Miguel Castelo-Branco Journal: Front Neurosci Date: 2018-11-01 Impact factor: 4.677
Authors: Sarah Hamburg; Richard Rosch; Carla Marie Startin; Karl John Friston; André Strydom Journal: Cereb Cortex Date: 2019-05-01 Impact factor: 5.357
Authors: Celia Goeldner; Priya S Kishnani; Brian G Skotko; Julian Lirio Casero; Joerg F Hipp; Michael Derks; Maria-Clemencia Hernandez; Omar Khwaja; Sian Lennon-Chrimes; Jana Noeldeke; Sabine Pellicer; Lisa Squassante; Jeannie Visootsak; Christoph Wandel; Paulo Fontoura; Xavier Liogier d'Ardhuy Journal: J Neurodev Disord Date: 2022-02-05 Impact factor: 4.025
Authors: Marcel Ruiz-Mejias; Maria Martinez de Lagran; Maurizio Mattia; Patricia Castano-Prat; Lorena Perez-Mendez; Laura Ciria-Suarez; Thomas Gener; Belen Sancristobal; Jordi García-Ojalvo; Agnès Gruart; José M Delgado-García; Maria V Sanchez-Vives; Mara Dierssen Journal: J Neurosci Date: 2016-03-30 Impact factor: 6.167