Highlights: 21• A CBV-sensitive fMRI method is developed for high resolution fMRI in humans. 22• Lamina-dependent CBV fMRI responses are shown in humans. 23• VASO cortical profiles are validated with Fe-contrast agent fMRI in animals. 24• Sensitivity to large veins can be minimized using VASO-CBV instead of BOLD fMRI. 25• Ipsilateral fMRI responses to finger-tapping are positive in M1 and negative in S1. 26 27 Abstract 28Cortical layer-dependent high (sub-millimeter) resolution functional magnetic resonance imaging 29 (fMRI) in human or animal brain can be used to address questions regarding the functioning of 30 cortical circuits, such as the effect of different afferent and efferent connectivity on activity in 31 specific cortical layers. The sensitivity of gradient echo (GE) blood oxygenation level dependent 32 (BOLD) responses to large draining veins reduces its local specificity and can render the 33 interpretation of the underlying laminar neural activity impossible. Application of the more spatially 34 specific cerebral blood volume (CBV) based fMRI in humans has been hindered by the low sensitivity 35 of the non-invasive modalities available. Here, a Vascular Space Occupancy (VASO) variant, adapted 36 for use at high field, is further optimized to capture layer-dependent activity changes in human 37 motor cortex at sub-millimeter resolution. Acquired activation maps and cortical profiles show that 38 the VASO signal peaks in grey matter at 0.8 -1.6 mm depth, and deeper compared to the superficial 39 and vein-dominated GE-BOLD responses. Validation of the VASO signal change versus well-40 established iron-oxide contrast agent based fMRI methods in animals showed the same cortical 41 profiles of CBV change, after normalization for lamina-dependent baseline CBV. In order to evaluate 42 its potential of revealing small lamina-dependent signal differences due to modulations of the input-43 output characteristics, layer-dependent VASO responses were investigated in the ipsilateral 44 hemisphere during unilateral finger tapping. Positive activation in ipsilateral primary motor cortex 45 *7. Manuscript Click here to view linked References 2 and negative activation in ipsilateral primary sensory cortex were observed. This feature is only 1 visible in high-resolution fMRI where opposing sides of a sulcus can be investigated independently 2 because of a lack of partial volume effects. Based on the results presented here we conclude that 3 VASO offers good reproducibility, high sensitivity, and lower sensitivity than GE-BOLD to changes in 4 larger vessels, making it a valuable tool for layer-dependent fMRI studies in humans. 5Abbreviations: BOLD = blood oxygenation level dependent; CBV = cerebral blood volume; CNR = 6 contrast-to-noise ratio; CSF = cerebrospinal fluid; ΔCBV = change in CBV; EPI = echo planar imaging; 7 Fe = iron; fMRI = functional magnetic resonance imaging; GE = gradient echo; GM = grey matter; ROI 8 = region of interest; SNR = signal-to-noise ratio; SS-SI-VASO = slice-selective slab-inversion VASO...

Neuroimaging and transcranial magnetic stimulation provide insights into the neuronal mechanisms underlying speech disfluencies in chronic persistent stuttering. In the present paper, the goal is not to provide an exhaustive review of existing literature, but rather to highlight robust findings. We, therefore, conducted a meta-analysis of diffusion tensor imaging studies which have recently implicated disrupted white matter connectivity in stuttering. A reduction of fractional anisotropy in persistent stuttering has been reported at several different loci. Our meta-analysis revealed consistent deficits in the left dorsal stream and in the interhemispheric connections between the sensorimotor cortices. In addition, recent fMRI meta-analyses link stuttering to reduced left fronto-parieto-temporal activation while greater fluency is associated with boosted co-activations of right fronto-parieto-temporal areas. However, the physiological foundation of these irregularities is not accessible with MRI. Complementary, transcranial magnetic stimulation (TMS) reveals local excitatory and inhibitory regulation of cortical dynamics. Applied to a speech motor area, TMS revealed reduced speech-planning-related neuronal dynamics at the level of the primary motor cortex in stuttering. Together, this review provides a focused view of the neurobiology of stuttering to date and may guide the rational design of future research. This future needs to account for the perpetual dynamic interactions between auditory, somatosensory, and speech motor circuits that shape fluent speech.

Persistent stuttering reflects atypical brain activity and connectivity, most notably within the left hemisphere speech production networks. Neef et al. link right frontal overactivations common to stuttering to structural networks that support right hemisphere specialisations. In particular, severe stuttering reflects increased activity in a global motor response inhibition network.

Previous studies helped unraveling the functional architecture of the human cerebral cortex. However, a comprehensive functional segregation of right lateral prefrontal cortex is missing. Here, we delineated cortical clusters in right area 44 and 45 based on their task-constrained whole-brain activation patterns across neuroimaging experiments obtained from a large database. We identified 5 clusters that differed with respect to their coactivation patterns, which were consistent with resting-state functional connectivity patterns of an independent dataset. Two clusters in the posterior inferior frontal gyrus (IFG) were functionally associated with action inhibition and execution, while two anterior clusters were related to reasoning and social cognitive processes. A fifth cluster was associated with spatial attention. Strikingly, the functional organization of the right IFG can thus be characterized by a posterior-to-anterior axis with action-related functions on the posterior and cognition-related functions on the anterior end. We observed further subdivisions along a dorsal-to-ventral axis in posterior IFG between action execution and inhibition, and in anterior IFG between reasoning and social cognition. The different clusters were integrated in distinct large-scale networks for various cognitive processes. These results provide evidence for a general organization of cognitive processes along axes spanning from more automatic to more complex cognitive processes.