Parallel motion signals to the medial and lateral motion areas V6 and MT+

Pitzalis, Sabrina; Bozzacchi, Chiara; Bultrini, Alessandro; Fattori, Patrizia; Galletti, Claudio; Russo, Francesco Di

doi:10.1016/j.neuroimage.2012.11.022

Cited by 45 publications

(75 citation statements)

References 93 publications

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“…It peaks between 200 and 250 ms and it was supposed to represent reen trant activity in V1 and V3A areas (Di Russo et al, 2002Russo et al, , 2005. More recently, this component was localized in the intraparietal sulcus (IPs) and in area V6 using motion onset stimuli (Pitzalis, Bozzacchi, et al, 2012;Pitzalis, Strappini, et al, 2012). Figure 5.2 shows the comparison between the VEP waveform obtained with patternonset, patternreversal, and motiononset stimuli presented in the upper left quad rant.…”

Section: The P2 Componentmentioning

confidence: 99%

“…Its localization has been confirmed in many studies from our (e.g., Di Russo et al, 2011) as well as other (e.g., Clark et al, 1995;Gómez Gonzalez, Clark, Fan, Luck, & Hillyard 1994;Liu, Zhang, Chen, & He, 2009;Zhang, Zhaoping, Zhou, & Fang, 2012) laboratories. Review ing the extensive VEP literature on this component, it is evident that the C1 has been found in response to many visual stimulation paradigms, such as patternonset, pat ternreversal, and motiononset (Di Russo et al, 2002aRusso et al, , 2005Pitzalis, Bozzacchi, et al, 2012;Pitzalis, Strappini, et al, 2012). Therefore, the C1 seems to be a general phe nomenon related to the activity of area V1, likely reflect ing the cortical volley from the lateral geniculate nucleus.…”

Section: The C1 Componentmentioning

confidence: 99%

“…Motion onset VEP produced activities at 160 and 180 ms in area V3A and in the lateral occipital regions (LOR), respec tively. Using flowfield motiononset stimuli, an early N1 was localized in motion area V6 at 140 ms and a late N1 in area V3A at 180 ms (Pitzalis, Bozzacchi, et al, 2012).…”

Section: The N1 Componentmentioning

confidence: 99%

“…The loca tion and topography of the cortical areas were based on functional and anatomical magnetic resonance (MR) tests of each subject. The location of the numeric labels indicate the areas found in the aforementioned studies (Di Russo et al 2002, 2005Pitzalis, Bozzacchi, et al, 2012;Pitzalis, Strappini, et al, 2012) and the values indicate the timing their peak activity expressed in ms.…”

Section: The P2 Componentmentioning

confidence: 99%

“…The method can be further improved by the use of a specific functional localizer to define the motionsensitive regions MT+ (Tootell et al, 1995) and V6 (Pitzalis et al, 2010). The combination of EEG-fMRI data obtained during the same stimulation with the retinotopic mapping enables us to localize the EEG data respective to each single visual area and to specific anatomical regions with a known functional profile, as already done by our group in the past (Di Russo, Martínez, Pitzalis, & Hillyard, C H A P T E R 5 EEG-fMRI Combination for the Study of Visual Perception and Spatial Attention I. SPATIAL ATTENTION Sereno, 2002;Di Russo, Martínez, Hillyard, 2003;Di Russo et al, 2007, 2005Pitzalis, Bozzacchi, et al, 2012;Pitzalis, Strappini, De Gasperis, Bultrini, & Di Russo, 2012). Figure 5.1 shows different results obtained comparing unseeded and seeded source models; the colored circles shown in the figure indicate the locations of the dipoles in the unseeded model, which for some areas are close to the fMRI spots (as for V1, MT+ and Fusiform region), while for others are quite distant (as for POs and hIPs).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

EEG–fMRI Combination for the Study of Visual Perception and Spatial Attention

Russo¹,

Pitzalis²

2014

Cognitive Electrophysiology of Attention

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Section: The P2 Componentmentioning

confidence: 99%

Section: The C1 Componentmentioning

confidence: 99%

Section: The N1 Componentmentioning

confidence: 99%

Section: The P2 Componentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

EEG–fMRI Combination for the Study of Visual Perception and Spatial Attention

Russo¹,

Pitzalis²

2014

Cognitive Electrophysiology of Attention

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Detailed spatiotemporal brain mapping of chromatic vision combining high‐resolution VEP with fMRI and retinotopy

Pitzalis

Strappini

Bultrini

et al. 2018

Human Brain Mapping

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Neuroimaging studies have identified so far, several color-sensitive visual areas in the human brain, and the temporal dynamics of these activities have been separately investigated using the visual-evoked potentials (VEPs). In the present study, we combined electrophysiological and neuroimaging methods to determine a detailed spatiotemporal profile of chromatic VEP and to localize its neural generators. The accuracy of the present co-registration study was obtained by combining standard fMRI data with retinotopic and motion mapping data at the individual level. We found a sequence of occipito activities more complex than that typically reported for chromatic VEPs, including feed-forward and reentrant feedback. Results showed that chromatic human perception arises by the combined activity of at the least five parieto-occipital areas including V1, LOC, V8/VO, and the motion-sensitive dorsal region MT+. However, the contribution of V1 and V8/VO seems dominant because the re-entrant activity in these areas was present more than once (twice in V8/VO and thrice in V1). This feedforward and feedback chromatic processing appears delayed compared with the luminance processing. Associating VEPs and neuroimaging measures, we showed for the first time a complex spatiotemporal pattern of activity, confirming that chromatic stimuli produce intricate interactions of many different brain dorsal and ventral areas.

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Egomotion‐related visual areas respond to active leg movements

Serra

Galletti

Marco

et al. 2019

Human Brain Mapping

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Monkey neurophysiology and human neuroimaging studies have demonstrated that passive viewing of optic flow stimuli activates a cortical network of temporal, parietal, insular, and cingulate visual motion regions. Here, we tested whether the human visual motion areas involved in processing optic flow signals simulating self-motion are also activated by active lower limb movements, and hence are likely involved in guiding human locomotion. To this aim, we used a combined approach of taskevoked activity and resting-state functional connectivity by fMRI. We localized a set of six egomotion-responsive visual areas (V6+, V3A, intraparietal motion/ventral intraparietal [IPSmot/VIP], cingulate sulcus visual area [CSv], posterior cingulate sulcus area [pCi], posterior insular cortex [PIC]) by using optic flow. We tested their response to a motor task implying long-range active leg movements. Results revealed that, among these visually defined areas, CSv, pCi, and PIC responded to leg movements (visuomotor areas), while V6+, V3A, and IPSmot/VIP did not (visual areas).Functional connectivity analysis showed that visuomotor areas are connected to the cingulate motor areas, the supplementary motor area, and notably to the medial portion of the somatosensory cortex, which represents legs and feet. We suggest that CSv, pCi, and PIC perform the visual analysis of egomotion-like signals to provide sensory information to the motor system with the aim of guiding locomotion. K E Y W O R D S brain mapping, CSv, functional connectivity, locomotion, optic flow, self-motion

show abstract

Parallel motion signals to the medial and lateral motion areas V6 and MT+

Cited by 45 publications

References 93 publications

EEG–fMRI Combination for the Study of Visual Perception and Spatial Attention

EEG–fMRI Combination for the Study of Visual Perception and Spatial Attention

Detailed spatiotemporal brain mapping of chromatic vision combining high‐resolution VEP with fMRI and retinotopy

Egomotion‐related visual areas respond to active leg movements

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