Functional Neural Correlates of a Useful Field of View (UFOV)-Based fMRI Task in Older Adults.

Declines in processing speed performance occur in aging and are a critical marker of functional independence in older adults. Studies suggest that Useful Field of View (UFOV) training may ameliorate cognitive decline. Despite its efficacy, little is known about the neural correlates of this task. Within the current study, 233 healthy older adults completed a UFOV-based task while undergoing functional magnetic resonance imaging (fMRI). During the "stimulus" portion of this task, participants must identify a target in the center of the screen and the location of a target in the periphery, among distractors. During the "probe" portion, participants must decide if the object in the center and the location of the target in the periphery were identical to the "stimulus" screen. Widespread bilateral whole-brain activation was observed when activation patterns of the "probe" contrast were subtracted from the "stimulus" contrast. Conversely, the subtraction of "stimulus" from "probe" was associated with discrete activation patterns consisting of 13 clusters. Additionally, when evaluating the variance associated with task accuracy, specific subregions were identified that may be critical for task performance. Our data elucidate the functional neural correlates of a UFOV-based task, a task used in both cognitive training paradigms and assessment of function.

[1]  Jing Tao,et al.  Fronto-cerebellar connectivity mediating cognitive processing speed , 2020, NeuroImage.

[2]  Lesley A Ross,et al.  A systematic review and meta-analysis of older driver interventions. , 2020, Accident; analysis and prevention.

[3]  G. Alexander,et al.  Structural Neural Correlates of Double Decision Performance in Older Adults , 2020, Frontiers in Aging Neuroscience.

[4]  K. Visscher,et al.  The Effects of Useful Field of View Training on Brain Activity and Connectivity. , 2019, The journals of gerontology. Series B, Psychological sciences and social sciences.

[5]  Kathrin Finke,et al.  Phasic alerting effects on visual processing speed are associated with intrinsic functional connectivity in the cingulo-opercular network , 2019, NeuroImage.

[6]  Jennifer J. Lister,et al.  Can Cognitive Speed of Processing Training Improve Everyday Functioning Among Older Adults With Psychometrically Defined Mild Cognitive Impairment? , 2019, Journal of aging and health.

[7]  Kathrin Finke,et al.  Decreased cingulo-opercular network functional connectivity mediates the impact of aging on visual processing speed , 2019, Neurobiology of Aging.

[8]  Michael Erb,et al.  Structural and effective brain connectivity underlying biological motion detection , 2018, Proceedings of the National Academy of Sciences.

[9]  K. Svoboda,et al.  Neural mechanisms of movement planning: motor cortex and beyond , 2018, Current Opinion in Neurobiology.

[10]  Michael Marsiske,et al.  Augmenting cognitive training in older adults (The ACT Study): Design and Methods of a Phase III tDCS and cognitive training trial. , 2018, Contemporary clinical trials.

[11]  Jerri D. Edwards,et al.  Systematic review and meta-analyses of useful field of view cognitive training , 2018, Neuroscience & Biobehavioral Reviews.

[12]  A. V. van den Berg,et al.  A meta-analysis of perceptual and cognitive functions involved in useful-field-of-view test performance. , 2017, Journal of vision.

[13]  Lesley A Ross,et al.  Speed of processing training results in lower risk of dementia , 2017, Alzheimer's & dementia.

[14]  Qi Gao,et al.  Cognitive Frailty and Adverse Health Outcomes: Findings From the Singapore Longitudinal Ageing Studies (SLAS). , 2017, Journal of the American Medical Directors Association.

[15]  Kristina M. Visscher,et al.  Cortical thickness in frontoparietal and cingulo-opercular networks predicts executive function performance in older adults. , 2016, Neuropsychology.

[16]  K. Zilles,et al.  The anatomical and functional specialization of the fusiform gyrus , 2016, Neuropsychologia.

[17]  João Ricardo Sato,et al.  Motor Readiness Increases Brain Connectivity Between Default-Mode Network and Motor Cortex: Impact on Sampling Resting Periods from fMRI Event-Related Studies , 2015, Brain Connect..

[18]  Jennifer J. Lister,et al.  Perceptual and cognitive neural correlates of the useful field of view test in older adults , 2015, Brain Research.

[19]  E. Sullivan,et al.  Thalamic structures and associated cognitive functions: Relations with age and aging , 2015, Neuroscience & Biobehavioral Reviews.

[20]  J. Baron,et al.  Effects of Healthy Ageing on Activation Pattern within the Primary Motor Cortex during Movement and Motor Imagery: An fMRI Study , 2014, PloS one.

[21]  George W Rebok,et al.  Ten‐Year Effects of the Advanced Cognitive Training for Independent and Vital Elderly Cognitive Training Trial on Cognition and Everyday Functioning in Older Adults , 2014, Journal of the American Geriatrics Society.

[22]  Jerri D. Edwards,et al.  Cognitive training and selective attention in the aging brain: An electrophysiological study , 2013, Clinical Neurophysiology.

[23]  C. Harada,et al.  Normal cognitive aging. , 2013, Clinics in geriatric medicine.

[24]  A. Achiron,et al.  Superior temporal gyrus thickness correlates with cognitive performance in multiple sclerosis , 2013, Brain Structure and Function.

[25]  Fredric D. Wolinsky,et al.  A Randomized Controlled Trial of Cognitive Training Using a Visual Speed of Processing Intervention in Middle Aged and Older Adults , 2013, PloS one.

[26]  Meghan B. Mitchell,et al.  Activities of Daily Living Are Associated With Older Adult Cognitive Status , 2013, Journal of applied gerontology : the official journal of the Southern Gerontological Society.

[27]  R. Marioni,et al.  Active Cognitive Lifestyle Is Associated with Positive Cognitive Health Transitions and Compression of Morbidity from Age Sixty-Five , 2012, PloS one.

[28]  Y. Stern Cognitive reserve in ageing and Alzheimer's disease , 2012, The Lancet Neurology.

[29]  Andrew Pipingas,et al.  Improved Processing Speed: Online Computer-based Cognitive Training in Older Adults , 2012 .

[30]  Mark Hallett,et al.  Self-modulation of primary motor cortex activity with motor and motor imagery tasks using real-time fMRI-based neurofeedback , 2012, NeuroImage.

[31]  Lesley A Ross,et al.  Cognitive Training Decreases Motor Vehicle Collision Involvement of Older Drivers , 2010, Journal of the American Geriatrics Society.

[32]  David M. Smith,et al.  The ACTIVE cognitive training trial and predicted medical expenditures , 2009, BMC health services research.

[33]  Nathaniel Mercaldo,et al.  The Alzheimer's Disease Centers' Uniform Data Set (UDS): The Neuropsychologic Test Battery , 2009, Alzheimer disease and associated disorders.

[34]  Bart Rypma,et al.  When less is more and when more is more: The mediating roles of capacity and speed in brain-behavior efficiency. , 2009, Intelligence.

[35]  R. Marois,et al.  fMRI Evidence for a Dual Process Account of the Speed-Accuracy Tradeoff in Decision-Making , 2008, PloS one.

[36]  M. Botvinick Conflict monitoring and decision making: Reconciling two perspectives on anterior cingulate function , 2007, Cognitive, affective & behavioral neuroscience.

[37]  Justin L. Vincent,et al.  Distinct brain networks for adaptive and stable task control in humans , 2007, Proceedings of the National Academy of Sciences.

[38]  Paige E. Scalf,et al.  The Neural Correlates of an Expanded Functional Field of View. , 2007, The journals of gerontology. Series B, Psychological sciences and social sciences.

[39]  Matthew Rizzo,et al.  The Accelerate Study: The Longitudinal Effect of Speed of Processing Training on Cognitive Performance of Older Adults , 2007 .

[40]  Justin L. Vincent,et al.  Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[41]  Karlene K Ball,et al.  The useful field of view test: normative data for older adults. , 2006, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[42]  J. Mazziotta,et al.  Functional segregation within pars opercularis of the inferior frontal gyrus: evidence from fMRI studies of imitation and action observation. , 2005, Cerebral cortex.

[43]  D L Roenker,et al.  The impact of speed of processing training on cognitive and everyday performance , 2005, Aging & mental health.

[44]  Scott T. Grafton,et al.  Actions or Hand-Object Interactions? Human Inferior Frontal Cortex and Action Observation , 2003, Neuron.

[45]  H. Buschke,et al.  Leisure activities and the risk of dementia in the elderly. , 2003, The New England journal of medicine.

[46]  Karlene K. Ball,et al.  Speed-of-Processing and Driving Simulator Training Result in Improved Driving Performance , 2003, Hum. Factors.

[47]  George W Rebok,et al.  Effects of cognitive training interventions with older adults: a randomized controlled trial. , 2002, JAMA.

[48]  J. Mazziotta,et al.  Modulation of motor and premotor activity during imitation of target-directed actions. , 2002, Cerebral cortex.

[49]  J. Schneider,et al.  Participation in cognitively stimulating activities and risk of incident Alzheimer disease. , 2002, JAMA.

[50]  N. Kanwisher,et al.  The lateral occipital complex and its role in object recognition , 2001, Vision Research.

[51]  Beth T. Stalvey,et al.  Timed Instrumental Activities of Daily Living Tasks: Relationship to Visual Function in Older Adults , 2001, Optometry and vision science : official publication of the American Academy of Optometry.

[52]  M. Corbetta,et al.  Voluntary orienting is dissociated from target detection in human posterior parietal cortex , 2000, Nature Neuroscience.

[53]  K. Grieve,et al.  The primate pulvinar nuclei: vision and action , 2000, Trends in Neurosciences.

[54]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[55]  C. Owsley,et al.  The useful field of view test: a new technique for evaluating age-related declines in visual function. , 1993, Journal of the American Optometric Association.