Literature DB >> 33435314

Gray Matter Morphometry Correlates with Attentional Efficiency in Young-Adult Multiple Sclerosis.

Sindhuja T Govindarajan1, Ruiqi Pan1, Lauren Krupp2, Leigh Charvet2, Tim Q Duong1,3.   

Abstract

Slowed processing on the alerting, orienting and executive control components of attention measured using the Attention Network Test-Interactions (ANT-I) have been widely reported in multiple sclerosis (MS). Despite the assumption that these components correspond to specific neuroanatomical networks in the brain, little is known about gray matter changes that occur in MS and their association with ANT-I performance. We investigated vertex-wise cortical thickness changes and deep gray matter volumetric changes in young MS participants (N = 21, age range: 18-35) with pediatric or young-adult onset and mild disease severity. ANT-I scores and cortical thickness were not significantly different between MS participants and healthy volunteers (N = 19, age range: 18-35), but thalamic volumes were significantly lower in MS. Slowed reaction times on the alerting component in MS correlated significantly with reduced volume of the right pallidum in MS. Slowed reaction times on executive control component correlated significantly with reduced thickness in the frontal, parietal and visual cortical areas and with reduced volume of the left putamen in MS. These findings demonstrate associations between gray matter changes and attentional performance even in the absence of widespread atrophy or slowed attentional processes.

Entities:  

Keywords:  atrophy; attention; cognition; cortical thickness; executive control; frontoparietal attention network; pediatric-onset multiple sclerosis

Year:  2021        PMID: 33435314      PMCID: PMC7826940          DOI: 10.3390/brainsci11010080

Source DB:  PubMed          Journal:  Brain Sci        ISSN: 2076-3425


  62 in total

1.  Distinct brain networks for adaptive and stable task control in humans.

Authors:  Nico U F Dosenbach; Damien A Fair; Francis M Miezin; Alexander L Cohen; Kristin K Wenger; Ronny A T Dosenbach; Michael D Fox; Abraham Z Snyder; Justin L Vincent; Marcus E Raichle; Bradley L Schlaggar; Steven E Petersen
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-18       Impact factor: 11.205

2.  Attention and processing speed performance in multiple sclerosis is mostly related to thalamic volume.

Authors:  Alvino Bisecco; Svetlana Stamenova; Giuseppina Caiazzo; Alessandro d'Ambrosio; Rosaria Sacco; Renato Docimo; Sabrina Esposito; Mario Cirillo; Fabrizio Esposito; Simona Bonavita; Gioacchino Tedeschi; Antonio Gallo
Journal:  Brain Imaging Behav       Date:  2018-02       Impact factor: 3.978

3.  Atrophy mainly affects the limbic system and the deep grey matter at the first stage of multiple sclerosis.

Authors:  Bertrand Audoin; Wafaa Zaaraoui; Françoise Reuter; Audrey Rico; Irina Malikova; Sylviane Confort-Gouny; Patrick J Cozzone; Jean Pelletier; Jean-Philippe Ranjeva
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-04-14       Impact factor: 10.154

4.  Gray matter trophism, cognitive impairment, and depression in patients with multiple sclerosis.

Authors:  Emanuele Pravatà; Maria A Rocca; Paola Valsasina; Gianna C Riccitelli; Claudio Gobbi; Giancarlo Comi; Andrea Falini; Massimo Filippi
Journal:  Mult Scler       Date:  2017-02-07       Impact factor: 6.312

5.  Association of Cortical Lesion Burden on 7-T Magnetic Resonance Imaging With Cognition and Disability in Multiple Sclerosis.

Authors:  Daniel M Harrison; Snehashis Roy; Jiwon Oh; Izlem Izbudak; Dzung Pham; Susan Courtney; Brian Caffo; Craig K Jones; Peter van Zijl; Peter A Calabresi
Journal:  JAMA Neurol       Date:  2015-09       Impact factor: 18.302

6.  Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).

Authors:  J F Kurtzke
Journal:  Neurology       Date:  1983-11       Impact factor: 9.910

7.  Information processing speed in patients with multiple sclerosis.

Authors:  S M Rao; P St Aubin-Faubert; G J Leo
Journal:  J Clin Exp Neuropsychol       Date:  1989-08       Impact factor: 2.475

8.  Resting-state networks predict individual differences in common and specific aspects of executive function.

Authors:  Andrew E Reineberg; Jessica R Andrews-Hanna; Brendan E Depue; Naomi P Friedman; Marie T Banich
Journal:  Neuroimage       Date:  2014-10-02       Impact factor: 6.556

9.  Deep grey matter MRI abnormalities and cognitive function in relapsing-remitting multiple sclerosis.

Authors:  Laëtitia Debernard; Tracy R Melzer; Sridhar Alla; Jane Eagle; Saskia Van Stockum; Charlotte Graham; Jonathan R Osborne; John C Dalrymple-Alford; David H Miller; Deborah F Mason
Journal:  Psychiatry Res       Date:  2015-10-22       Impact factor: 3.222

Review 10.  Cognitive impairment in multiple sclerosis.

Authors:  Nancy D Chiaravalloti; John DeLuca
Journal:  Lancet Neurol       Date:  2008-12       Impact factor: 44.182

View more
  2 in total

1.  Editorial to Special Issue "Cognitive Involvement in Multiple Sclerosis".

Authors:  Roberta Lanzillo
Journal:  Brain Sci       Date:  2022-04-27

Review 2.  Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple Sclerosis.

Authors:  Maria Petracca; Giuseppe Pontillo; Marcello Moccia; Antonio Carotenuto; Sirio Cocozza; Roberta Lanzillo; Arturo Brunetti; Vincenzo Brescia Morra
Journal:  Brain Sci       Date:  2021-03-09
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.