- Research article
- Open Access
Functional MRI of working memory and selective attention in vibrotactile frequency discrimination
BMC Neuroscience volume 8, Article number: 48 (2007)
Focal lesions of the frontal, parietal and temporal lobe may interfere with tactile working memory and attention. To characterise the neural correlates of intact vibrotactile working memory and attention, functional MRI was conducted in 12 healthy young adults. Participants performed a forced-choice vibrotactile frequency discrimination task, comparing a cue stimulus of fixed frequency to their right thumb with a probe stimulus of identical or higher frequency. To investigate working memory, the time interval between the 2 stimuli was pseudo-randomized (either 2 or 8 s). To investigate selective attention, a distractor stimulus was occasionally presented contralaterally, simultaneous to the probe.
Delayed vibrotactile frequency discrimination, following a probe presented 8 s after the cue in contrast to a probe presented 2 s after the cue, was associated with activation in the bilateral anterior insula and the right inferior parietal cortex. Frequency discrimination under distraction was correlated with activation in the right anterior insula, in the bilateral posterior parietal cortex, and in the right middle temporal gyrus.
These results support the notion that working memory and attention are organised in partly overlapping neural circuits. In contrast to previous reports in the visual or auditory domain, this study emphasises the involvement of the anterior insula in vibrotactile working memory and selective attention.
Faced with a continuous stream of afferent data, somatosensory processing requires not only the analysis of the properties of tactile stimuli, but also the extraction and encoding of novel, relevant information . The integration of tactile information retrieved from cutaneous afferents, traditionally attributed to the primary (SI) and secondary somatosensory cortices (SII), has been extensively studied . In contrast, the neural basis of tactile working memory and tactile selective attention is less well known. These higher-level cognitive processes are nevertheless crucial for managing many challenges of every-day life. Pulling out a key from a coat pocket in the dark requires, amongst others, exploratory finger movements, attention to tactile information derived from the exploring hand (and not, e.g., from the other hand holding a bag), storage of this information in working memory, and integration of the successively obtained tactile information. Studies on patients with focal lesions suggest that the prefrontal cortex [3, 4], right parietal cortex  and thalamus  are involved in the inhibition of task-irrelevant tactile information. Lesions of the medial temporal lobe, in contrast, have been shown to impair tactile working memory in patients .
Building on this small body of literature, the current report describes investigation of the neural substrates of vibrotactile memory and selective attention in healthy volunteers using event-related functional magnetic resonance imaging (fMRI). Participants performed a two-alternative forced choice frequency discrimination task. For this task, participants had to determine whether the second of two consecutive vibratory stimuli was of identical (25 Hz) or higher frequency (> 25 Hz). This task involved not only somatosensory processing, but also other brain functions, including somatosensory working memory, selective attention and planning and execution of a motor response. To assess the effect of working memory, a short (2 s) or a long (8 s) interstimulus interval (ISI) between the first (cue) and the second (probe) stimulus was used, similar to auditory distraction experiments published previously . To test the influence of selective attention, the task was also performed in the presence or absence of a concurrent vibrotactile distractor presented contralaterally. It is hypothesised that delayed vibrotactile frequency discrimination, following a probe presented 8 s after the cue in contrast to a probe presented 2 s after the cue, is associated with mainly dorsolateral prefrontal activation, reflecting working memory . In addition, it is hypothesised that vibrotactile frequency discrimination under distraction mainly involves a right-hemispheric prefrontal-posterior parietal network .
The average accuracy of vibrotactile frequency discrimination without distractor was 65% (average response time = 961 ms). In the presence of a simultaneous distractor, the accuracy decreased (47%, F(1,11) = 23.90, p < 0.001) and the response time increased significantly (1369 ms, F(1,5) = 13.08, p < 0.05). Delayed presentation of the probe (ISI = 8 s) significantly reduced the accuracy of vibrotactile discrimination compared to an ISI of 2 s (54% vs. 59%, F(1,11) = 6.29, p < 0.05). The chance level in this forced choice two-alternative decision task was 50%.
Functional Magnetic Resonance Imaging
Fig. 1 depicts brain activation related to the processing of the probe, regardless of its frequency, in all conditions. Vibrotactile frequency discrimination by button press was associated with widespread activation in cortical and subcortical areas. Activation was seen in the bilateral thalamus (numbers 6 and 7 in Fig. 1), the hand area of the left (contralateral) SI and the left primary motor cortex (10), adjacent to the activation in the postcentral gyrus. Activation was also found in the bilateral anterior insula (2, 3), the anterior cingulate cortex (9), the right posterior parietal cortex (11) and the right inferior frontal cortex (8). In addition, the bilateral basal ganglia (4, 5), in particular the caudate nucleus and the globus pallidus, and the left cerebellar hemisphere (1) were activated. Deactivation was found in the right parahippocampal gyrus (13), the bilateral medial frontal gyrus (14), the right cuneus (15), the bilateral posterior cingulate gyrus (16), the bilateral precuneus (16) and the left superior frontal gyrus (17).
Vibrotactile frequency discrimination with an ISI of 8 s was associated with stronger activation in the bilateral anterior insula (numbers 1 and 2 in Fig. 2), the right caudate nucleus (3) and the right inferior parietal cortex (4) as opposed to the conditions with an ISI of 2 s.
Comparing frequency discrimination with and without distractor, the distractor condition was characterised by significantly stronger activation in the right middle temporal gyrus (number 1 in Fig. 3), the right anterior insula (2), the left precuneus (3) and the bilateral posterior parietal cortex (4, 5). Deactivation was seen in the right posterior cingulate gyrus (6), the left medial frontal gyrus (7) and the left precentral gyrus (8).
The results of the present study demonstrate that vibrotactile frequency discrimination is associated with the activation of distributed neural networks, in particular the central somatosensory pathways, the motor system, and the polymodal frontal, parietal and insular cortices (Fig. 1). Under challenge by a simultaneous distractor or a delayed probe, the accuracy of responses decreases in both conditions. The activated brain areas corresponding to distracted or delayed frequency discrimination are partly overlapping, albeit distinct. Bilateral activation of the anterior insula is present in conditions with delayed presentation of the probe (Fig. 2), whereas strong and widespread activation in the bilateral posterior parietal cortex can be found in trials involving a distractor (Fig. 3). The findings of this study are subsequently discussed in light of these sensory and cognitive components. In addition, the significance of the findings is considered for a better understanding of tactile impairments in stroke.
Vibrotactile frequency discrimination
The chosen vibrotactile stimuli with a frequency around 25 Hz activate primarily Meissner's corpuscles, located in the dermal-epidermal junction of the superficial glabrous skin . Meissner's corpuscles are highly sensitive mechanoreceptors. On the tip of the index finger, perceptual (vibratory detection) thresholds, measured as the peak-to-peak displacement of the vibrating probe, are approximately 10 microns in the frequency range studied here [11, 12].
As expected [13–19], vibrotactile frequency discrimination was associated with activation of the somatosensory system, including the contralateral SI and SII, and the bilateral thalamus in the present study (Fig. 1). As the experiment involved button press, cortical and subcortical activation in areas attributed to the planning and execution of voluntary movements was found (contralateral primary motor cortex, the bilateral supplementary motor area, the left ventro-lateral thalamus, the bilateral globus pallidus, and the left cerebellar hemisphere, Fig. 1).
The present results demonstrate that vibrotactile frequency discrimination is associated with a robust activation of the bilateral anterior insula (Fig. 1). The insula is a highly multimodal area which integrates information from several distinct regions of the brain . Converging evidence shows that the insula is functionally separated along the anterior-posterior axis. In the sensory domain, a direct comparison of painful thermal and innocuous tactile stimulation using fMRI revealed that the perception of pain was associated with activation of the anterior part, while the perception of tactile stimuli was associated with activation of the posterior part of the insula [21, 22]. In addition to the perception of pain, the anterior insula is involved in the processing of innocuous, but unpleasant stimuli (vibratory stimulation of the teeth ) as well as of visceral  and gustatory afferents .
For the interpretation of the present findings, however, the involvement of the anterior insular cortex for the processing of temporal aspects of stimuli (e.g., pitch ) and for the preparation of highly time-dependent movements (e.g., singing and speaking [27, 28]) might be important. In addition, lesion studies in cats demonstrated that the temporal operculum and the underlying insular cortex are involved in vibrotactile temporal pattern discrimination . Based on these reports, it is hypothesised that the bilateral anterior insula is involved in the analysis of the temporal aspects of vibrotactile stimuli. In support of this hypothesis, passive vibrotactile stimulation without discrimination between stimuli of different frequency [13–18, 30] did not activate the anterior insula.
Default mode network
Compared with baseline, vibrotactile frequency discrimination was associated with deactivation in the frontal cortex (medial and superior frontal gyrus), the cuneus, the precuneus, the parahippocampal area and the posterior cingulate gyrus (Fig 3). These areas probably reflect a widespread neuronal network that is consistently activated during rest or during less demanding tasks, termed the default mode network . In a highly demanding task, such as the frequency discrimination task used here, the putative default mode network is expected to be deactivated when comparing task vs. rest. This interpretation is corroborated by the results of several investigations on cognitive and sensory processing. In a study on visual and auditory processing, the default mode network, similar to the deactivated areas in the present study, was supposed to consist of medial frontal areas, the posterior cingulate, the hippocampus and the parahippocampus .
Vibrotactile working memory
In the present study, the function of vibrotactile working memory was selectively probed by varying the interval between the first and the second stimulus. Comparing the conditions with long vs. short ISI uncovered activation of the bilateral anterior insula, the right head of the caudate nucleus and the right inferior parietal cortex (Fig. 2).
Working memory refers to the ability to maintain and manipulate information temporarily and has been widely investigated in the visuo-spatial, auditory, and verbal domains. Traditionally, the prefrontal cortex has been regarded as an important neural correlate of working memory [9, 33]. In the present study, the inferior frontal cortex is activated in the analysis of all events (Fig. 1), but is not differentially active when increasing the ISI from 2 s to 8 s (Fig. 2), probably due to the lower statistical power of the subgroup of events.
Knowledge about the neural correlates of vibrotactile working memory, however, is limited. There is evidence that the neural correlates of tactile working memory include areas involved in the sensory processing of tactile stimuli . Using vibrotactile frequency discrimination tasks similar to the 2 s ISI task employed here, but without conditions with longer ISI, single-cell recordings in primates  and transcranial magnetic stimulation in humans  demonstrated that vibrotactile memory traces are maintained in SI. The present study did not reveal stronger activation in SI or SII when increasing the ISI from 2 s to 8 s.
The data presented here suggest that areas found active in previous studies on cognitive and sensory working memory are also involved in vibrotactile memory. An investigation of working memory using a sequential letter (n-back) task and fMRI revealed activation in the bilateral inferior parietal cortex (supramarginal gyrus) and the bilateral frontal operculum, along with activation of the bilateral inferior frontal gyrus and other areas . The results here imply that the bilateral anterior insula is not only involved in analysing temporal properties, but also subserves as a neural correlate of working memory for temporally complex stimuli. Because of the dense connections between the prefrontal cortex and the caudate nucleus, the caudate is thought to be involved in working memory as well .
The effect of selective attention was investigated by simultaneously applying a distractor stimulus to the contralateral thumb in 25% of the epochs. Selective attention is often regarded as a cognitive process selecting a subset of information for further processing. Vibrotactile distraction through a contralateral vibrotactile stimulus is associated, on the behavioural level, with a decrease of response accuracy and, on the neuronal level, with an increase of activation in the bilateral posterior parietal cortex, the right anterior insula, and the middle temporal gyrus (Fig. 3). The observed decrease of accuracy confirmed a previous pure behavioural experiment .
Converging lines of evidence support the notion that a widespread, mainly right-hemispheric fronto-parietal network is involved in selective attention. In the tactile domain, the posterior parietal cortex has been found active during tasks involving selective attention using fMRI  and somatosensory evoked potentials . The present results, showing bilateral posterior parietal activation, corroborate these findings. Moreover, processing of a sensory stimulus is enhanced by selective attention to the stimulus. This has been shown in the visual , auditory , and somatosensory domain . The posterior parietal cortex, however, contains neurons with bilateral receptive fields . Activation of those neurons by bilateral vibrotactile stimulation during the distractor conditions might contribute to the bilateral posterior parietal activation seen here.
Increased activity in the right anterior insula under distraction is hypothesised to represent increased analysis of temporal stimulus properties as discussed above. Activation of the right middle temporal gyrus has previously been related to language functions, such as semantic processing  and processing of affective prosody . In addition to these reports, the present study indicates that the right middle temporal gyrus is also involved in selective attention to vibrotactile stimuli. This interpretation is supported by a high-density EEG study in which the bilateral middle temporal gyri were involved in selective spatial attention .
Comparing the brain activity between delayed (Fig. 2) and distracted (Fig. 3) frequency discrimination, the right anterior insula and the posterior parietal cortex are active in both conditions. This finding supports the idea that working memory and attention are represented by distributed, partly overlapping neuronal networks [48, 49].
Relevance for tactile deficits in stroke
Tactile working memory and selective attention are important cognitive processes for complex sensory processing in humans, beyond the experimental situation of vibrotactile frequency discrimination. Tactile working memory and selective attention are crucial for object recognition or manipulation without visual feedback or in situations where somatosensory information from different body parts (walking, bimanual operations) or information from different sensory modalities compete.
For the present study, a forced-choice vibrotactile frequency discrimination task has been developed that is also applicable to future investigations of stroke patients. Deficits of somatosensory processing are frequent symptoms of stroke and often have far-reaching consequences for the independence and the quality of life of stroke patients . Although impaired motor or language functions often impose a higher burden on the individual patient, the integrity of tactile functions is an important predictor for the long-term recovery of stroke patients [51–53]. Many functional abilities, such as the control of grip force , and gait  can be affected by deficits of tactile processing.
The present study demonstrates that vibrotactile frequency discrimination is associated with the activation of distributed neural circuits including the somatomotor system, and polymodal frontal, parietal, and insular areas. Brain networks involved in distracted or delayed frequency discrimination are partly overlapping, albeit distinct. Bilateral activation of the anterior insula is present in conditions with delayed presentation of the probe, while strong and widespread activation in the bilateral posterior parietal cortex can be found in trials involving a distractor. The novel findings of this study on healthy adults and the partial differences between our findings and the results of lesion studies warrant further investigations of brain activity associated with impaired somatosensory processing in stroke patients.
Twelve healthy, right-handed volunteers (6 men, 6 women, mean age 22 years) participated in the study. The study was approved by the Research Ethics Board of the Sunnybrook Health Sciences Centre. Informed consent for participation in the project was obtained from all participants according to the Declaration of Helsinki.
Magnetomechanical vibrotactile devices (MVDs) were used for stimulation as described previously . These MVDs allow precise control of the frequency and amplitude of vibrotactile stimulation through custom software. The MVDs used here were able to generate frequencies of at least 100 Hz. The use of higher frequencies is possible but is restricted by the stability of the mount and the size of the coil. Prior to the experiment, MVDs were taped to the palmar surface of the distal phalanges of both thumbs (Fig. 4). Responses were made with the right index or middle finger using a two-button response pad, also built within the laboratory (Fig. 4). Practice trials were performed inside the scanner, during the structural MRI and before the fMRI experiment, to assess individual perceptual thresholds for the 25 Hz vibrotactile stimulus. Perceptual thresholds were defined as the smallest stimulation amplitudes that could be reliably identified and were determined using the alternating staircase method. In the actual experiment, stimulation amplitudes were set to 700% of the individual perceptual threshold. In addition, the vibrotactile discrimination threshold f was assessed, where f is the minimal difference between cue (25 Hz) and probe (25 + f Hz) that could be detected with 80% accuracy. The discrimination threshold f was determined by assuming a normal distribution of the frequency differences that were detected correctly (fcorr) during the iterative procedure, such that Z = (mean(fcorr) -f)/standard deviation(fcorr) = 0.84 for 80% success. In all cases, the assumed frequency f was × 10 Hz. During the fMRI experiment, however, participants performed lesswas accurate than predicted by this formula (65% accuracy on average). As we tried to minimize the time participants had to stay in the magnet before the beginning of the fMRI experiment, thresholds were determined during the structural MRI (scan time: 8 min) and not in a separate test run. The number of iterations achieved during this time might have been too low for an accurate estimation of discrimination thresholds. Moreover, participants might have developed fatigue or loss of concentration during the preparation for the fMRI experiment (15 – 20 min including structural MRI) resulting in decreased discrimination accuracy later on.
Fig. 5 provides a schematic illustration of the experiment. Eight different stimulation conditions were applied in a pseudo-randomised order (Tab. 1). Each condition started with a 25 Hz cue stimulus followed by a probe stimulus, both delivered to the right hand. All vibrotactile stimuli were presented for 2 s. For all events, the time between the onset of two consecutive cue stimuli was 30 s. The frequency of the probe was either 25 Hz or higher (25 + f Hz, with equal (50%) probability). Participants were asked to decide if the frequency of the probe was identical to or different than the cue in a forced choice two-alternative decision task. Participants were instructed to respond as quickly and as accurately as possible after the offset of the probe. Vibrotactile stimulation and the recording of behavioural responses were controlled by a PC running LabVIEW (National Instruments, Austin, TX, USA). To assess the influence of the interstimulus interval (ISI) between cue and probe, the ISI was either 2 s or 8 s (probability: 50% each). To assess the influence of a distractor, in 25% of all trials an analogous vibrotactile stimulus was delivered to the left thumb simultaneously to the probe. The experiment consisted of four runs with 16 trials per run (64 trials in total). The acquisition of all functional images required 32 min. The total scan time, including the anatomical scan and the initial behavioural testing, was approximately 1 h.
Accuracy (% correct) was calculated for each condition and subjected to repeated measures ANOVA (SPSS, SPSS Inc., Chicago, IL, USA) with a full within-participants Distractor × Delay × Probe model. Mean response times (for correct responses only) were analysed similarly, using a maximum likelihood algorithm to account for missing data (BMDP-5V, BMDP Statistical Software, Los Angeles, CA, USA).
Magnetic Resonance Imaging
Structural and event-related fMRI was conducted using a Signa VH/i 3.0 T scanner and quadrature birdcage head coil (GE Healthcare, Waukesha, WI, USA). A single-shot spiral sequence was used for blood oxygenation level-dependent fMRI (TR/TE/flip = 2000 ms/30 ms/70°, matrix 64 × 64, FoV 20 cm, and 26 axial slices 5 mm thick) . The reconstructed fMRI data were processed in AFNI . After motion correction, general linear modeling (GLM) was used to estimate the system response to the probe in each condition. Percent signal change maps were formed from the integrated responses, normalised to Talairach-Tournoux space, and blurred with a 5 mm FWHM Gaussian filter. Linear contrasts of these maps for all participants underwent one-way t-tests to generate group maps for all Distractor × Delay × Probe main effects and interactions. For the analysis of the probe in all conditions, the group maps were thresholded at a voxelwise p < 0.005 with a minimum cluster size of 0.87 ml within a radius of 2 mm which amounts to an overall (corrected) p < 0.05 . For the analysis of the effects of delay and distractor, the group maps were thresholded at a voxelwise p < 0.01 with a minimum cluster size of 1.46 ml within a 5 mm radius which amounts to an overall (corrected) p < 0.05.
functional magnetic resonance imaging
magnetomechanical vibrotactile device
primary somatosensory cortex
secondary somatosensory cortex
Staines WR, Graham SJ, Black SE, McIlroy WE: Task-relevant modulation of contralateral and ipsilateral primary somatosensory cortex and the role of a prefrontal-cortical sensory gating system. Neuroimage. 2002, 15: 190-199. 10.1006/nimg.2001.0953.
Gardner E, Kandel E: Touch. Principles of neural science. Edited by: Kandel E, Schwartz J, Jessell T. 2000, New York: McGraw-Hill, 451-471.
Chao LL, Knight RT: Human prefrontal lesions increase distractibility to irrelevant sensory inputs. Neuroreport. 1995, 6: 1605-1610.
Knight RT, Staines WR, Swick D, Chao LL: Prefrontal cortex regulates inhibition and excitation in distributed neural networks. Acta Psychol (Amst). 1999, 101: 159-178. 10.1016/S0001-6918(99)00004-9.
Vallar G, Rusconi ML, Bignamini L, Geminiani G, Perani D: Anatomical correlates of visual and tactile extinction in humans: a clinical CT scan study. J Neurol Neurosurg Psychiatry. 1994, 57: 464-470.
Staines WR, Black SE, Graham SJ, McIlroy WE: Somatosensory gating and recovery from stroke involving the thalamus. Stroke. 2002, 33: 2642-2651. 10.1161/01.STR.0000032552.40405.40.
Ross ED: Sensory-specific and fractional disorders of recent memory in man. II. Unilateral loss of tactile recent memory. Arch Neurol. 1980, 37: 267-272.
Passingham D, Sakai K: The prefrontal cortex and working memory: physiology and brain imaging. Curr Opin Neurobiol. 2004, 14: 163-168. 10.1016/j.conb.2004.03.003.
Cabeza R, Nyberg L: Imaging cognition II: An empirical review of 275 PET and fMRI studies. J Cogn Neurosci. 2000, 12: 1-47. 10.1162/08989290051137585.
Gardner E, Martin J, Jessell T: The bodily senses. Principles of neural science. Edited by: Kandel E, Schwartz J, Jessell T. 2000, New York: McGraw-Hill
Mountcastle VB, LaMotte RH, Carli G: Detection thresholds for stimuli in humans and monkeys: comparison with threshold events in mechanoreceptive afferent nerve fibers innervating the monkey hand. J Neurophysiol. 1972, 35: 122-136.
Barlow SM: Mechanical frequency detection thresholds in the human face. Exp Neurol. 1987, 96: 253-261. 10.1016/0014-4886(87)90044-6.
Burton H, Sinclair RJ, McLaren DG: Cortical activity to vibrotactile stimulation: an fMRI study in blind and sighted individuals. Hum Brain Mapp. 2004, 23: 210-228. 10.1002/hbm.20064.
Francis ST, Kelly EF, Bowtell R, Dunseath WJ, Folger SE, McGlone F: fMRI of the responses to vibratory stimulation of digit tips. Neuroimage. 2000, 11: 188-202. 10.1006/nimg.2000.0541.
Graham SJ, Staines WR, Nelson A, Plewes DB, McIlroy WE: New devices to deliver somatosensory stimuli during functional MRI. Magn Reson Med. 2001, 46: 436-442. 10.1002/mrm.1211.
Harrington GS, Wright CT, Downs JH: A new vibrotactile stimulator for functional MRI. Hum Brain Mapp. 2000, 10: 140-145. 10.1002/1097-0193(200007)10:3<140::AID-HBM50>3.0.CO;2-0.
McGlone F, Kelly EF, Trulsson M, Francis ST, Westling G, Bowtell R: Functional neuroimaging studies of human somatosensory cortex. Behav Brain Res. 2002, 135: 147-158. 10.1016/S0166-4328(02)00144-4.
Tuunanen PI, Kavec M, Jousmäki V, Usenius JP, Hari R, Salmelin R, Kauppinen RA: Comparison of BOLD fMRI and MEG characteristics to vibrotactile stimulation. Neuroimage. 2003, 19: 1778-1786. 10.1016/S1053-8119(03)00256-8.
Jousmäki V, Hari R: Somatosensory evoked fields to large-area vibrotactile stimuli. Clin Neurophysiol. 1999, 110: 905-909. 10.1016/S1388-2457(98)00059-5.
Flynn FG, Benson DF, Ardila A: Anatomy of the insula – functional and clinical correlates. Aphasiology. 1999, 13: 55-78. 10.1080/026870399402325.
Davis KD, Kwan CL, Crawley AP, Mikulis DJ: Functional MRI study of thalamic and cortical activations evoked by cutaneous heat, cold, and tactile stimuli. J Neurophysiol. 1998, 80: 1533-1546.
Schnitzler A, Ploner M: Neurophysiology and functional neuroanatomy of pain perception. J Clin Neurophysiol. 2000, 17: 592-603. 10.1097/00004691-200011000-00005.
Ettlin DA, Zhang H, Lutz K, Järmann T, Meier D, Gallo LM, Jäncke L, Palla S: Cortical activation resulting from painless vibrotactile dental stimulation measured by functional magnetic resonance imaging (FMRI). J Dent Res. 2004, 83: 757-761.
Vandenbergh J, Dupont P, Fischler B, Bormans G, Persoons P, Janssens J, Tack J: Regional brain activation during proximal stomach distention in humans: A positron emission tomography study. Gastroenterology. 2005, 128: 564-573. 10.1053/j.gastro.2004.11.054.
Ogawa H: Gustatory cortex of primates: anatomy and physiology. Neurosci Res. 1994, 20: 1-13. 10.1016/0168-0102(94)90017-5.
Wong PC, Parsons LM, Martinez M, Diehl RL: The role of the insular cortex in pitch pattern perception: the effect of linguistic contexts. J Neurosci. 2004, 24: 9153-9160. 10.1523/JNEUROSCI.2225-04.2004.
Riecker A, Ackermann H, Wildgruber D, Dogil G, Grodd W: Opposite hemispheric lateralization effects during speaking and singing at motor cortex, insula and cerebellum. Neuroreport. 2000, 11: 1997-2000. 10.1097/00001756-200006260-00038.
Wise RJ, Greene J, Büchel C, Scott SK: Brain regions involved in articulation. Lancet. 1999, 353: 1057-1061. 10.1016/S0140-6736(98)07491-1.
Colavita FB: Insular-temporal lesions and vibrotactile temporal pattern discrimination in cats. Physiol Behav. 1974, 12: 215-218. 10.1016/0031-9384(74)90175-9.
Nelson AJ, Staines WR, Graham SJ, McIlroy WE: Activation in SI and SII: the influence of vibrotactile amplitude during passive and task-relevant stimulation. Brain Res Cogn Brain Res. 2004, 19: 174-184. 10.1016/j.cogbrainres.2003.11.013.
Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL: A default mode of brain function. Proc Natl Acad Sci USA. 2001, 98: 676-682. 10.1073/pnas.98.2.676.
Greicius MD, Menon V: Default-mode activity during a passive sensory task: uncoupled from deactivation but impacting activation. J Cogn Neurosci. 2004, 16: 1484-1492. 10.1162/0898929042568532.
Fletcher PC, Henson RN: Frontal lobes and human memory: insights from functional neuroimaging. Brain. 2001, 124: 849-881. 10.1093/brain/124.5.849.
Pasternak T, Greenlee MW: Working memory in primate sensory systems. Nat Rev Neurosci. 2005, 6: 97-107. 10.1038/nrn1603.
Hernández A, Zainos A, Romo R: Neuronal correlates of sensory discrimination in the somatosensory cortex. Proc Natl Acad Sci USA. 2000, 97: 6191-6196. 10.1073/pnas.120018597.
Harris JA, Miniussi C, Harris IM, Diamond ME: Transient storage of a tactile memory trace in primary somatosensory cortex. J Neurosci. 2002, 22: 8720-8725.
Cohen JD, Perlstein WM, Braver TS, Nystrom LE, Noll DC, Jonides J, Smith EE: Temporal dynamics of brain activation during a working memory task. Nature. 1997, 386: 604-608. 10.1038/386604a0.
Levy R, Friedman HR, Davachi L, Goldman-Rakic PS: Differential activation of the caudate nucleus in primates performing spatial and nonspatial working memory tasks. J Neurosci. 1997, 17: 3870-3882.
Sinclair RJ, Kuo JJ, Burton H: Effects on discrimination performance of selective attention to tactile features. Somatosens Mot Res. 2000, 17: 145-157. 10.1080/08990220050020562.
Young JP, Herath P, Eickhoff S, Choi J, Grefkes C, Zilles K, Roland PE: Somatotopy and attentional modulation of the human parietal and opercular regions. J Neurosci. 2004, 24: 5391-5399. 10.1523/JNEUROSCI.4030-03.2004.
Waberski TD, Gobbelé R, Darvas F, Schmitz S, Buchner H: Spatiotemporal imaging of electrical activity related to attention to somatosensory stimulation. Neuroimage. 2002, 17: 1347-1357. 10.1006/nimg.2002.1222.
Smith AT, Cotillon-Williams NM, Williams AL: Attentional modulation in the human visual cortex: The time-course of the BOLD response and its implications. Neuroimage. 2005, 29: 328-334.
Rinne T, Pekkola J, Degerman A, Autti T, Jääskeläinen IP, Sams M, Alho K: Modulation of auditory cortex activation by sound presentation rate and attention. Hum Brain Mapp. 2005, 26: 94-99. 10.1002/hbm.20123.
Chapman CE, Meftah el-M: Independent controls of attentional influences in primary and secondary somatosensory cortex. J Neurophysiol. 2005, 94: 4094-4107. 10.1152/jn.00303.2005.
Iwamura Y: Bilateral receptive field neurons and callosal connections in the somatosensory cortex. Philos Trans R Soc Lond B Biol Sci. 2000, 355: 267-273. 10.1098/rstb.2000.0563.
Sevostianov A, Horwitz B, Nechaev V, Williams R, Fromm S, Braun AR: fMRI study comparing names versus pictures of objects. Hum Brain Mapp. 2002, 16: 168-175. 10.1002/hbm.10037.
Ethofer T, Anders S, Erb M, Herbert C, Wiethoff S, Kissler J, Grodd W, Wildgruber D: Cerebral pathways in processing of affective prosody: A dynamic causal modeling study. Neuroimage. 2005, 30: 580-587. 10.1016/j.neuroimage.2005.09.059.
LaBar KS, Gitelman DR, Parrish TB, Mesulam M: Neuroanatomic overlap of working memory and spatial attention networks: a functional MRI comparison within subjects. Neuroimage. 1999, 10: 695-704. 10.1006/nimg.1999.0503.
Naghavi HR, Nyberg L: Common fronto-parietal activity in attention, memory, and consciousness: shared demands on integration?. Conscious Cogn. 2005, 14: 390-425. 10.1016/j.concog.2004.10.003.
Winward CE, Halligan PW, Wade DT: The Rivermead Assessment of Somatosensory Performance (RASP): standardization and reliability data. Clin Rehabil. 2002, 16: 523-533. 10.1191/0269215502cr522oa.
Han L, Law-Gibson D, Reding M: Key neurological impairments influence function-related group outcomes after stroke. Stroke. 2002, 33: 1920-1924. 10.1161/01.STR.0000019792.59599.CC.
Rose L, Bakal DA, Fung TS, Farn P, Weaver LE: Tactile extinction and functional status after stroke. A preliminary investigation. Stroke. 1994, 25: 1973-1976.
Sommerfeld DK, von Arbin MH: The impact of somatosensory function on activity performance and length of hospital stay in geriatric patients with stroke. Clin Rehabil. 2004, 18: 149-155. 10.1191/0269215504cr710oa.
Nowak DA, Hermsdörfer J: Grip force behavior during object manipulation in neurological disorders: toward an objective evaluation of manual performance deficits. Mov Disord. 2005, 20: 11-25. 10.1002/mds.20299.
Quant S, Adkin AL, Staines WR, Maki BE, McIlroy WE: The effect of a concurrent cognitive task on cortical potentials evoked by unpredictable balance perturbations. BMC Neurosci. 2004, 5: 18-10.1186/1471-2202-5-18.
Glover GH, Lai S: Self-navigated spiral fMRI: interleaved versus single-shot. Magn Reson Med. 1998, 39: 361-368. 10.1002/mrm.1910390305.
Cox RW: AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 1996, 29: 162-173. 10.1006/cbmr.1996.0014.
Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC: Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Magn Reson Med. 1995, 33: 636-647. 10.1002/mrm.1910330508.
This research was supported by the Heart and Stroke Foundation of Ontario, the Canadian Institutes of Health Research and General Electric Healthcare Canada.
SJG and WRS designed the experimental setup of the study. NB developed the stimulation device and implemented the measurement of vibrotactile discrimination thresholds. JM and FT acquired the data and performed the statistical analyses. PS drafted the manuscript, and the other authors contributed substantially to it. All authors read and approved the final manuscript.
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Sörös, P., Marmurek, J., Tam, F. et al. Functional MRI of working memory and selective attention in vibrotactile frequency discrimination. BMC Neurosci 8, 48 (2007) doi:10.1186/1471-2202-8-48
- Selective Attention
- Default Mode Network
- Posterior Parietal Cortex
- Anterior Insula
- Middle Temporal Gyrus