Mapping typical and hypokinetic dysarthric speech production network using a connected speech paradigm in functional MRI

Autor: Katherine Schiller, Megan Battles Parsons, Michael P. Cannito, Asim F. Choudhri, Wei Zhang, Mark S. LeDoux, Crystal G. Franklin, Peter T. Fox, Shalini Narayana
Rok vydání: 2020
Předmět:
Male
FSL
FMRIB Software Library

Speech production
TE
Echo Time

MIPS
Multiple Image Processing Station

PET
Positron Emission Tomography

Audiology
Apraxia
Spasmodic dysphonia
lcsh:RC346-429
Dysarthria
0302 clinical medicine
Speech production network
Motor speech
Motor speech disorders
BOLD
Blood Oxygenation Level Dependent

ASL
Arterial Spinal Labeling

Connected speech
Brain Mapping
GUI
Graphical User Interface

fMRI
05 social sciences
Brain
Regular Article
PD
Parkinson Disease

Magnetic Resonance Imaging
TR
Repetition Time

Neurology
SPI{z})
Statistical Parametric Image of z score

Hypokinetic dysarthria
lcsh:R858-859.7
Female
FLAME
FMRIB's Local Analysis of Mixed Effects

medicine.symptom
Comprehension
Psychology
HKD
hypokinetic Dysarthria

psychological phenomena and processes
SMA
Supplemental Motor Area

Adult
medicine.medical_specialty
Stuttering
MNI
Montreal Neurological Institute

Cognitive Neuroscience
SPN
Speech Production Network

M1
Primary Motor Cortex

lcsh:Computer applications to medicine. Medical informatics
behavioral disciplines and activities
Speech Disorders
050105 experimental psychology
Young Adult
03 medical and health sciences
rCBF
regional Cerebral Blood Flow

MEG
Magnetoencephalography

otorhinolaryngologic diseases
medicine
Humans
Speech
PMd
dorsal PreMotor cortex

0501 psychology and cognitive sciences
Radiology
Nuclear Medicine and imaging

DICOM
Digital Imaging and Communications in Medicine

MCFLIRT
Motion Correction and Linear Image Registration Tool

lcsh:Neurology. Diseases of the nervous system
Voice Disorders
fMRI
functional Magnetic Resonance Imaging

Normal speech
medicine.disease
FWHM
Full Width at Half Maximum

BA
Brodmann Area

PET
FEAT
FMRI Expert Analysis Tool

DIVA
Directions into Velocities of Articulators

Neurology (clinical)
030217 neurology & neurosurgery
Zdroj: NeuroImage: Clinical, Vol 27, Iss, Pp 102285-(2020)
NeuroImage : Clinical
ISSN: 2213-1582
DOI: 10.1016/j.nicl.2020.102285
Popis: Highlights • Developed and validated an overt continuous speech paradigm for use in fMRI. • The speech paradigm successfully identified the neural circuit of speech production. • The speech paradigm is effective in mapping disordered motor speech. • The fMRI paradigm will be useful for studying normal and disordered speech.
We developed a task paradigm whereby subjects spoke aloud while minimizing head motion during functional MRI (fMRI) in order to better understand the neural circuitry involved in motor speech disorders due to dysfunction of the central nervous system. To validate our overt continuous speech paradigm, we mapped the speech production network (SPN) in typical speakers (n = 19, 10 females) and speakers with hypokinetic dysarthria as a manifestation of Parkinson disease (HKD; n = 21, 8 females) in fMRI. We then compared it with the SPN derived during overt speech production by 15O-water PET in the same group of typical speakers and another HKD cohort (n = 10, 2 females). The fMRI overt connected speech paradigm did not result in excessive motion artifacts and successfully identified the same brain areas demonstrated in the PET studies in the two cohorts. The SPN derived in fMRI demonstrated significant spatial overlap with the corresponding PET derived maps (typical speakers: r = 0.52; speakers with HKD: r = 0.43) and identified the components of the neural circuit of speech production belonging to the feedforward and feedback subsystems. The fMRI study in speakers with HKD identified significantly decreased activity in critical feedforward (bilateral dorsal premotor and motor cortices) and feedback (auditory and somatosensory areas) subsystems replicating previous PET study findings in this cohort. These results demonstrate that the overt connected speech paradigm is feasible during fMRI and can accurately localize the neural substrates of typical and disordered speech production. Our fMRI paradigm should prove useful for study of motor speech and voice disorders, including stuttering, apraxia of speech, dysarthria, and spasmodic dysphonia.
Databáze: OpenAIRE