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Therapeutic Methods and Therapies TCIM
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1.
Brain Struct Funct ; 226(6): 1871-1878, 2021 Jul.
Article in English | MEDLINE | ID: mdl-34014400

ABSTRACT

The adhesio interthalamica (AI) is a small midline brain structure that connects the left and right thalamus. According to in vivo data, between 2.3 and 22.3% of the general population lack the AI, and the question of whether this absence is more prevalent in males than in females is a matter of debate. Despite the existence of these demographic figures, it remains unclear how this distinctive feature affects healthy people, or what specific anatomic profile is related to the presence or absence of the AI. The aim of this study was to investigate whole-brain gray matter (GM) volumetric differences depending on the presence or absence of the AI. A total of 240 healthy adult volunteers completed one MRI scanning session. After the AI assessment, the data from 110 participants were included in the final sample, of which 12.9% of the participants (n = 31) presented complete AI absence vs. 32.9% of participants (n = 79) who presented complete AI presence. Then, whole-brain group comparison analysis revealed that the absent AI brain, compared to the present AI brain, was associated with lower GM volume in the premotor cortex, inferior frontal gyrus, and anterior temporal cortex. Interestingly, neuroscience research has linked emotional and cognitive control brain processing to the latter two regions. The importance of these findings lies in providing a neuroanatomical profile for the absent AI brain in healthy human adults.


Subject(s)
Thalamus , Adult , Female , Gray Matter/diagnostic imaging , Humans , Magnetic Resonance Imaging , Male , Schizophrenia , Temporal Lobe , Thalamus/diagnostic imaging
2.
Proc Natl Acad Sci U S A ; 117(12): 6836-6843, 2020 03 24.
Article in English | MEDLINE | ID: mdl-32144139

ABSTRACT

Visuomotor impairments characterize numerous neurological disorders and neurogenetic syndromes, such as autism spectrum disorder (ASD) and Dravet, Fragile X, Prader-Willi, Turner, and Williams syndromes. Despite recent advances in systems neuroscience, the biological basis underlying visuomotor functional impairments associated with these clinical conditions is poorly understood. In this study, we used neuroimaging connectomic approaches to map the visuomotor integration (VMI) system in the human brain and investigated the topology approximation of the VMI network to the Allen Human Brain Atlas, a whole-brain transcriptome-wide atlas of cortical genetic expression. We found the genetic expression of four genes-TBR1, SCN1A, MAGEL2, and CACNB4-to be prominently associated with visuomotor integrators in the human cortex. TBR1 gene transcripts, an ASD gene whose expression is related to neural development of the cortex and the hippocampus, showed a central spatial allocation within the VMI system. Our findings delineate gene expression traits underlying the VMI system in the human cortex, where specific genes, such as TBR1, are likely to play a central role in its neuronal organization, as well as on specific phenotypes of neurogenetic syndromes.


Subject(s)
Calcium Channels/genetics , Motor Cortex/physiopathology , NAV1.1 Voltage-Gated Sodium Channel/genetics , Neurodevelopmental Disorders/pathology , Proteins/genetics , T-Box Domain Proteins/genetics , Visual Cortex/physiopathology , Adult , Aged , Autism Spectrum Disorder/genetics , Autism Spectrum Disorder/pathology , Brain Mapping , Cohort Studies , Epilepsies, Myoclonic/genetics , Epilepsies, Myoclonic/pathology , Female , Humans , Male , Middle Aged , Neurodevelopmental Disorders/genetics , Prader-Willi Syndrome/genetics , Prader-Willi Syndrome/pathology , Psychomotor Performance , Visual Perception
3.
Cereb Cortex ; 27(5): 2768-2778, 2017 05 01.
Article in English | MEDLINE | ID: mdl-27166170

ABSTRACT

Correlation of spontaneous fluctuations at rest between anatomically distinct brain areas are proposed to reflect the profile of individual a priori cognitive biases, coded as synaptic efficacies in cortical networks. Here, we investigate functional connectivity at rest (rs-FC) in musicians and nonmusicians to test for differences in auditory, motor, and audiomotor connectivity. As expected, musicians had stronger rs-FC between the right auditory cortex (AC) and the right ventral premotor cortex than nonmusicians, and this stronger rs-FC was greater in musicians with more years of practice. We also found reduced rs-FC between the motor areas that control both hands in musicians compared with nonmusicians, which was more evident in the musicians whose instrument required bimanual coordination and as a function of hours of practice. Finally, we replicated previous morphometric data to show an increased volume in the right AC in musicians, which was greater in those with earlier musical training, and that this anatomic feature was in turn related to greater rs-FC between auditory and motor systems. These results show that functional coupling within the motor system and between motor and auditory areas is modulated as a function of musical training, suggesting a link between anatomic and functional brain features.


Subject(s)
Auditory Cortex/physiology , Auditory Perception/physiology , Brain Mapping , Motor Cortex/physiology , Music , Nerve Net/physiology , Acoustic Stimulation , Adult , Female , Functional Laterality , Humans , Learning/physiology , Male , Principal Component Analysis , Psychomotor Performance/physiology , Statistics as Topic , Young Adult
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