Human cortical responses during one-bit delayed-response tasks: An fMRI study

Neuroimaging study of cognition across aging requires simple tasks ensuring: (i) high rate of correct performances in neurophysiological settings; and (ii) significant modulation of cortical activity. As a preliminary step, the present functional magnetic resonance imaging (fMRI) study tested the hypothesis that very simple delayed-response tasks fit these requirements in normal young adults. The short-term memory (STM) variant included a sequence of cue stimulus (two vertical bars), delay period (blank screen for only 5s), go stimulus, and motor response compatible with the taller vertical bar. Noteworthy, the retention (only one bit) could be based on visuo-spatial, phonological, and somatomotor coding. In the control variant (no STM, NSTM), the cue stimulus was present during the delay period. Results showed high rate of correct performances in both tasks (about 95%). Compared to the NSTM task (delay period), the STM task enhanced cortical responses in bilateral dorsolateral prefrontal (Brodmann area 8-9 (BA 8-9)), lateral premotor (BA 6L), medial premotor (BA 6M), inferior parietal (BA 40), and superior parietal (BA 7) areas. In the STM task, cortical responses were stronger in right than left BA 8-9 and BA 6L. These results indicate that, in normal young adults, a simple STM variant of delayed-response tasks (one bit to be retained) is correctly performed and enhances bilateral fronto-parietal responses. Therefore, it may be used for future cognitive neuroimaging studies on aging.

[1]  Albert Postma,et al.  Frontal-Lobe Involvement in Spatial Memory: Evidence from PET, fMRI, and Lesion Studies , 2000, Neuropsychology Review.

[2]  Effects of piracetam on indices of cognitive function in a delayed alternation task in young and aged rats , 1994, Pharmacology Biochemistry and Behavior.

[3]  I. McKeith,et al.  Cognitive Performance in Hypertensive and Normotensive Older Subjects , 2000, Hypertension.

[4]  E Pellouchoud,et al.  Neurophysiological signals of working memory in normal aging. , 2001, Brain research. Cognitive brain research.

[5]  Edward E. Smith,et al.  Temporal dynamics of brain activation during a working memory task , 1997, Nature.

[6]  C. B. Cohen,et al.  Avoiding “Cloudcuckooland” in Ethics Committee Case Review: Matching Models to Issues and Concerns , 1992, Law, medicine & health care : a publication of the American Society of Law & Medicine.

[7]  J. Cohen,et al.  Schizophrenic deficits in the processing of context. A test of a theoretical model. , 1996, Archives of general psychiatry.

[8]  J G Snodgrass,et al.  ERPs during study as a function of subsequent direct and indirect memory testing in young and old adults. , 1996, Brain research. Cognitive brain research.

[9]  D E Kieras,et al.  A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms. , 1997, Psychological review.

[10]  S. Rossi,et al.  Human cortical responses during one-bit short-term memory. A high-resolution EEG study on delayed choice reaction time tasks , 2004, Clinical Neurophysiology.

[11]  P. Goldman-Rakic,et al.  Neuronal activity related to saccadic eye movements in the monkey's dorsolateral prefrontal cortex. , 1991, Journal of neurophysiology.

[12]  Edward E. Smith,et al.  Working Memory: A View from Neuroimaging , 1997, Cognitive Psychology.

[13]  Febo Cincotti,et al.  Functional frontoparietal connectivity during short-term memory as revealed by high-resolution EEG coherence analysis. , 2004, Behavioral neuroscience.

[14]  A Gevins,et al.  Dynamic cortical networks of verbal and spatial working memory: effects of memory load and task practice. , 1998, Cerebral cortex.

[15]  M. D’Esposito,et al.  Isolating the neural mechanisms of age-related changes in human working memory , 2000, Nature Neuroscience.

[16]  P. Goldman-Rakic,et al.  Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. , 1989, Journal of neurophysiology.

[17]  R. Passingham,et al.  The prefrontal cortex: response selection or maintenance within working memory? , 2000, 5th IEEE EMBS International Summer School on Biomedical Imaging, 2002..

[18]  M. D’Esposito,et al.  Human Prefrontal Cortex Is Not Specific for Working Memory: A Functional MRI Study , 1998, NeuroImage.

[19]  James B. Rowe,et al.  Working Memory for Location and Time: Activity in Prefrontal Area 46 Relates to Selection Rather than Maintenance in Memory , 2001, NeuroImage.

[20]  S. Rossi,et al.  Human cortical rhythms during visual delayed choice reaction time tasks A high-resolution EEG study on normal aging , 2004, Behavioural Brain Research.

[21]  M MISHKIN,et al.  Effects of small frontal lesions on delayed alternation in monkeys. , 1957, Journal of neurophysiology.

[22]  N Butters,et al.  Retention of Delayed-Alternation: Effect of Selective Lesions of Sulcus Principalis , 1969, Science.

[23]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[24]  Jonathan D. Cohen,et al.  Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.

[25]  A. Gevins,et al.  Spatiotemporal dynamics of component processes in human working memory. , 1993, Electroencephalography and clinical neurophysiology.

[26]  B. Postle,et al.  “ What ” — Then — “ Where ” in Visual Working Memory : An Event-Related fMRI Study , 2000 .

[27]  A. Gevins,et al.  Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style. , 2000, Cerebral cortex.

[28]  B. Postle,et al.  Prefrontal cortical contributions to working memory: evidence from event-related fMRI studies , 2000, Experimental Brain Research.

[29]  P. Goldman-Rakic,et al.  Prefrontal neuronal activity in rhesus monkeys performing a delayed anti-saccade task , 1993, Nature.

[30]  P. Goldman-Rakic,et al.  Dorsolateral prefrontal lesions and oculomotor delayed-response performance: evidence for mnemonic "scotomas" , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[31]  C. Marsden,et al.  Self-initiated versus externally triggered movements. I. An investigation using measurement of regional cerebral blood flow with PET and movement-related potentials in normal and Parkinson's disease subjects. , 1995, Brain : a journal of neurology.

[32]  S. Petersen,et al.  Neuroimaging studies of word reading. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[33]  M. Torrens Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268 , 1990 .

[34]  T. Allison,et al.  Electrophysiological studies of color processing in human visual cortex. , 1993, Electroencephalography and clinical neurophysiology.

[35]  R. Silberstein,et al.  Steady-state visually evoked potential topography during the Wisconsin card sorting test. , 1995, Electroencephalography and clinical neurophysiology.

[36]  B. Postle,et al.  Using event-related fMRI to assess delay-period activity during performance of spatial and nonspatial working memory tasks. , 2000, Brain research. Brain research protocols.

[37]  S. Pollmann,et al.  Object working memory and visuospatial processing: functional neuroanatomy analyzed by event-related fMRI , 2000, Experimental Brain Research.

[38]  P. Goldman-Rakic,et al.  Matching patterns of activity in primate prefrontal area 8a and parietal area 7ip neurons during a spatial working memory task. , 1998, Journal of neurophysiology.

[39]  P. Goldman-Rakic Topography of cognition: parallel distributed networks in primate association cortex. , 1988, Annual review of neuroscience.

[40]  Cheryl L Grady,et al.  Changes in memory processing with age , 2000, Current Opinion in Neurobiology.

[41]  P. Goldman-Rakic,et al.  Visuospatial coding in primate prefrontal neurons revealed by oculomotor paradigms. , 1990, Journal of neurophysiology.

[42]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.