Nir Giladi

Nir Giladi

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in Journal of NeuroEngineering and Rehabilitation
Verified
Journal Article
Open access
PDF file
AMAnat Mirelman
Anat Mirelman
IMInbal Maidan
Inbal Maidan
HBHagar Bernad-Elazari
Hagar Bernad-Elazari
FNFreek Nieuwhof
Freek Nieuwhof
MRMiriam Reelick
Miriam Reelick
Jeffrey HausdorffJeffrey Hausdorff
Jeffrey Hausdorff
Accumulating evidence suggests that gait is influenced by higher order cognitive and cortical control mechanisms. Recently, several studies used functional near infrared spectroscopy (fNIRS) to examine brain activity during walking, demonstrating increased oxygenated hemoglobin (HbO2) levels in the frontal cortex during walking while subjects completed a verbal cognitive task. It is, however, still unclear whether this increase in activation was related to verbalization, if the response was specific to gait, or if it would also be observed during standing, a different motor control task. The aim of this study was to investigate whether an increase in frontal activation is specific to dual tasking during walking.

3 May 2019 in European Review of Aging and Physical Activity
Verified
Journal Article
Open access
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IHInbar Hillel
Inbar Hillel
EGEran Gazit
Eran Gazit
ANAlice Nieuwboer
Alice Nieuwboer
LALaura Avanzino
Laura Avanzino
LRLynn Rochester
Lynn Rochester
Jeffrey HausdorffJeffrey Hausdorff
Jeffrey Hausdorff
The traditional evaluation of gait in the laboratory during structured testing has provided important insights, but is limited by its “snapshot” character and observation in an unnatural environment. Wearables enable monitoring of gait in real-world environments over a week. Initial findings show that in-lab and real-world measures differ. As a step towards better understanding these gaps, we directly compared in-lab usual-walking (UW) and dual-task walking (DTW) to daily-living measures of gait. In-lab gait features (e.g., gait speed, step regularity, and stride regularity) derived from UW and DTW were compared to the same gait features during daily-living in 150 elderly fallers (age: 76.5 ± 6.3 years, 37.6% men). In both settings, features were extracted from a lower-back accelerometer. In the real-world setting, subjects were asked to wear the device for 1 week and pre-processing detected 30-s daily-living walking bouts. A histogram of all walking bouts was determined for each walking feature for each subject and then each subject’s typical (percentile 50, median), worst (percentile 10) and the best (percentile 90) values over the week were determined for each feature. Statistics of reliability were assessed using Intra-Class correlations and Bland-Altman plots. As expected, in-lab gait speed, step regularity, and stride regularity were worse during DTW, compared to UW. In-lab gait speed, step regularity, and stride regularity during UW were significantly higher (i.e., better) than the typical daily-living values (p < 0.001) and different (p < 0.001) from the worst and best values. DTW values tended to be similar to typical daily-living values (p = 0.205, p = 0.053, p = 0.013 respectively). ICC assessment and Bland-Altman plots indicated that in-lab values do not reliably reflect the daily-walking values. Gait values measured during relatively long (30-s) daily-living walking bouts are more similar to the corresponding values obtained in the lab during dual-task walking, as compared to usual walking. Still, gait performance during most daily-living walking bouts is worse than that measured during usual and dual-tasking in the lab. The values measured in the lab do not reliably reflect daily-living measures. That is, an older adult’s typical daily-living gait cannot be estimated by simply measuring walking in a structured, laboratory setting.

1 October 2018 in Parkinsonism & Related Disorders
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Journal Article
Closed access
ATAvner Thaler
Avner Thaler
NBNoa Bregman
Noa Bregman
TGTanya Gurevich
Tanya Gurevich
TSTamara Shiner
Tamara Shiner
YDYonatan Dror
Yonatan Dror
AMAnat Mirelman
Anat Mirelman

24 September 2014 in Journal of Neurology
Verified
Journal Article
Closed access
PDF file
THTalia Herman
Talia Herman
AWAner Weiss
Aner Weiss
MBMarina Brozgol
Marina Brozgol
NGNir Giladi
Nir Giladi
Jeffrey HausdorffJeffrey Hausdorff
Jeffrey Hausdorff

25 August 2018 in Movement Disorders
Verified
Journal Article
Closed access
PDF file
VRVioletta Rozani
Violetta Rozani
TGTanya Gurevich
Tanya Gurevich
NGNir Giladi
Nir Giladi
BEBaruch El‐Ad
Baruch El‐Ad
JTJudith Tsamir
Judith Tsamir
CPChava Peretz
Chava Peretz

1 July 2018 in Neuroscience & Biobehavioral Reviews
Verified
Journal Article
Open access
DFDavide Ferrazzoli
Davide Ferrazzoli
POPaola Ortelli
Paola Ortelli
GMGraziella Madeo
Graziella Madeo
NGNir Giladi
Nir Giladi
GPGiselle M. Petzinger
Giselle M. Petzinger
GFGiuseppe Frazzitta
Giuseppe Frazzitta
Parkinson's disease (PD) is characterized by motor and cognitive dysfunctions, affecting the motor behaviour. We summarize evidence that the interplay between motor and cognitive approaches is crucial in PD rehabilitation. Rehabilitation is complementary to pharmacological therapy and effective in reducing the PD disturbances, probably acting by inducing neuroplastic effects. The motor behaviour results from a complex integration between cortical and subcortical areas, underlying the motor, cognitive and motivational aspects of movement. The close interplay amongst these areas makes possible to learn, control and express habitual-automatic actions, which are dysfunctional in PD. The physiopathology of PD could be considered the base for the development of effective rehabilitation treatments. As the volitional action control is spared in early-medium stages of disease, rehabilitative approaches engaging cognition permit to achieve motor benefits and appear to be the most effective for PD. We will point out data supporting the relevance of targeting both motor and cognitive aspects in PD rehabilitation. Finally, we will discuss the role of cognitive engagement in motor rehabilitation for PD.