Keyword search (4,163 papers available)

"Khan S" Authored Publications:

Title Authors PubMed ID
1 The Smart in Smart Cities: A Framework for Image Classification Using Deep Learning Al-Qudah R; Khamayseh Y; Aldwairi M; Khan S; 35746171
ENCS
2 Is subthreshold depression in adolescence clinically relevant? Noyes BK; Munoz DP; Khalid-Khan S; Brietzke E; Booij L; 35429521
PSYCHOLOGY
3 Biallelic variants in TRAPPC10 cause a microcephalic TRAPPopathy disorder in humans and mice Rawlins LE; Almousa H; Khan S; Collins SC; Milev MP; Leslie J; Saint-Dic D; Khan V; Hincapie AM; Day JO; McGavin L; Rowley C; Harlalka GV; Vancollie VE; Ahmad W; Lelliott CJ; Gul A; Yalcin B; Crosby AH; Sacher M; Baple EL; 35298461
BIOLOGY
4 Maturation of temporal saccade prediction from childhood to adulthood: predictive saccades, reduced pupil size and blink synchronization Calancie OG; Brien DC; Huang J; Coe BC; Booij L; Khalid-Khan S; Munoz DP; 34759032
PSYCHOLOGY
5 Reductions of Anxiety Symptoms, State Anxiety, and Anxious Arousal in Youth Playing the Videogame MindLight Compared to Online Cognitive Behavioral Therapy Tsui TYL; DeFrance K; Khalid-Khan S; Granic I; Hollenstein T; 34403591
PSYCHOLOGY
6 Methodological and clinical challenges associated with biomarkers for psychiatric disease: A scoping review. Kirkpatrick RH; Munoz DP; Khalid-Khan S; Booij L; 33221025
PSYCHOLOGY
7 DNA methylation differences in stress-related genes, functional connectivity and gray matter volume in depressed and healthy adolescents. Chiarella J, Schumann L, Pomares FB, Frodl T, Tozzi L, Nemoda Z, Yu P, Szyf M, Khalid-Khan S, Booij L 32479312
PSYCHOLOGY
8 Are biophenotyes the key to select antinflammatory-responsive individuals with major depression? Brietzke E, Booij L, Wieck A, Soares CN, Roberts N, Khalid-Khan S 31476416
PSYCHOLOGY
9 Eating disorders and substance use in adolescents: How substance users differ from nonsubstance users in an outpatient eating disorders treatment clinic. Kirkpatrick R, Booij L, Vance A, Marshall B, Kanellos-Sutton M, Marchand P, Khalid-Khan S 30638270
PSYCHOLOGY
10 Use of routinely available clinical, nutritional, and functional criteria to classify cachexia in advanced cancer patients. Vigano AAL, Morais JA, Ciutto L, Rosenthall L, di Tomasso J, Khan S, Olders H, Borod M, Kilgour RD 27793524
HKAP
11 Hypertension management research priorities from patients, caregivers, and healthcare providers: A report from the Hypertension Canada Priority Setting Partnership Group. Khan N, Bacon SL, Khan S, Perlmutter S, Gerlinsky C, Dermer M, Johnson L, Alves F, McLean D, Laupacis A, Pui M, Berg A, Flowitt F, Hypertension Canada Priority Setting Partnership Group 28944609
HKAP

 

Title:Maturation of temporal saccade prediction from childhood to adulthood: predictive saccades, reduced pupil size and blink synchronization
Authors:Calancie OGBrien DCHuang JCoe BCBooij LKhalid-Khan SMunoz DP
Link:pubmed.ncbi.nlm.nih.gov/34759032/
DOI:10.1523/JNEUROSCI.0837-21.2021
Publication:The Journal of neuroscience : the official journal of the Society for Neuroscience
Keywords:blink ratedevelopmenteye movementspupil diameterrhythmtiming
PMID:34759032 Category: Date Added:2021-11-11
Dept Affiliation: PSYCHOLOGY
1 Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada K7L 3N6.
2 Department of Psychology, Concordia University, Montreal, Quebec, Canada H4B 1R6.
3 Department of Psychology, Queen's University, Kingston, Ontario, Canada K7L 3L3.
4 Division of Child and Youth Mental Health, Kingston Health Sciences Centre, Kingston, Ontario, Canada K7L 5G2.
5 Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada K7L 3N6. doug.munoz@queensu.ca Olivia.calancie@queensu.ca.
6 Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada K7L 3N6.

Description:

When presented with a periodic stimulus, humans spontaneously adjust their movements from reacting to predicting the timing of its arrival, but little is known about how this sensorimotor adaptation changes across development. To investigate this, we analyzed saccade behavior in 114 healthy humans (ages 6-24 years) performing the visual metronome task, who were instructed to move their eyes in time with a visual target that alternated between two known locations at a fixed rate, and we compared their behavior to performance in a random task, where target onsets were randomized across 5 interstimulus intervals (ISIs) and thus the timing of appearance was unknown. Saccades initiated before registration of the visual target, thus in anticipation of its appearance, were labeled predictive (saccade reaction time: SRT < 90 ms) and saccades that were made in reaction to its appearance were labeled reactive (SRT > 90 ms). Eye-tracking behavior including saccadic metrics (e.g., peak velocity; amplitude), pupil size following saccade to target, and blink behavior all varied as a function of predicting or reacting to periodic targets. Compared to reactive saccades, predictive saccades had a lower peak velocity, a hypometric amplitude, smaller pupil size, and a reduced probability of blink occurrence before target appearance. The percentage of predictive and reactive saccades changed inversely from ages 8-16, at which they reached adult-levels of behavior. Differences in predictive saccades for fast and slow target rates are interpreted by differential maturation of cerebellar-thalamic-striatal pathways.SIGNIFICANCE STATEMENTFrom the first moments of life, humans are exposed to rhythm (i.e., mother's heartbeat in utero), but the timeline of brain development to promote the identification and anticipation of a rhythmic stimulus, known as temporal prediction, remains unknown. Here we used saccade reaction time in the visual metronome task to differentiate between temporally predictive and reactive responses to a target that alternated at a fixed rate in humans aged 6-24. Periods of age-related change varied little by target rate, with matured predictive performance evident by mid-adolescence for fast and slow rates. A strong correlation among saccade, pupil and blink responses during target prediction provides evidence of oculomotor coordination and dampened noradrenergic neuronal activity when generating rhythmic motor responses.




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